WO2021005736A1 - Air conditioner, particle removing system, and control method - Google Patents

Air conditioner, particle removing system, and control method Download PDF

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Publication number
WO2021005736A1
WO2021005736A1 PCT/JP2019/027276 JP2019027276W WO2021005736A1 WO 2021005736 A1 WO2021005736 A1 WO 2021005736A1 JP 2019027276 W JP2019027276 W JP 2019027276W WO 2021005736 A1 WO2021005736 A1 WO 2021005736A1
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WIPO (PCT)
Prior art keywords
air
particle
control unit
value
air conditioner
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PCT/JP2019/027276
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French (fr)
Japanese (ja)
Inventor
将敬 鈴木
論季 小竹
柳澤　隆行
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三菱電機株式会社
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Application filed by 三菱電機株式会社 filed Critical 三菱電機株式会社
Priority to PCT/JP2019/027276 priority Critical patent/WO2021005736A1/en
Priority to JP2020506850A priority patent/JPWO2021005736A1/en
Publication of WO2021005736A1 publication Critical patent/WO2021005736A1/en

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    • F—MECHANICAL ENGINEERING; LIGHTING; HEATING; WEAPONS; BLASTING
    • F24—HEATING; RANGES; VENTILATING
    • F24F—AIR-CONDITIONING; AIR-HUMIDIFICATION; VENTILATION; USE OF AIR CURRENTS FOR SCREENING
    • F24F11/00—Control or safety arrangements
    • F24F11/70—Control systems characterised by their outputs; Constructional details thereof
    • F24F11/72—Control systems characterised by their outputs; Constructional details thereof for controlling the supply of treated air, e.g. its pressure
    • F24F11/79—Control systems characterised by their outputs; Constructional details thereof for controlling the supply of treated air, e.g. its pressure for controlling the direction of the supplied air

Definitions

  • the present invention relates to an air conditioner, a particle removal system and a control method.
  • Patent Document 1 discloses a dust collector that collects dust in a room by using a plurality of blowers (14, 30) and one dust collector (40).
  • the dust collector described in Patent Document 1 detects dust using infrared rays inside each of a plurality of blowers (14, 30) and one dust collector (40) (for example, Patent Document 1). See paragraphs [0049], paragraphs [0053] and paragraphs [0058] of.). Further, the dust collector described in Patent Document 1 measures the wind direction and the wind speed in a room by using an ultrasonic anemometer (see, for example, the above paragraph of Patent Document 1).
  • the dust collector described in Patent Document 1 has a problem that the distribution state of dust in the room cannot be detected. As a result, there is a problem that an unnecessary air flow may be generated when collecting dust in the room. For example, there is a problem that an air flow may be generated through an area where there is no dust in the room.
  • the present invention has been made to solve the above problems, and when removing particulate matter such as dust in a space such as a room, it is possible to detect the distribution state of the particulate matter in the space.
  • the purpose is to provide an air conditioner.
  • the air conditioner of the present invention uses a rider to calculate the density value of the particles to be detected in the air-conditioning target space, and a blower that controls the ventilation direction with respect to the air-conditioning target space using the density value. It includes a control unit.
  • the air conditioner of the present invention can detect the distribution state of particulate matter in a space when removing particulate matter such as dust in a space such as a room.
  • FIG. It is a block diagram which shows the main part of the particle removal system including the air conditioner which concerns on Embodiment 1.
  • FIG. It is a block diagram which shows the main part of the indoor unit of the air conditioner which concerns on Embodiment 1.
  • FIG. It is explanatory drawing which shows the example of the distance-strength characteristic and the example of a reference distance-strength characteristic. It is explanatory drawing which shows the example of the distribution of the 1st density value in the particle detection target space. It is explanatory drawing which shows the example of the distribution of the 2nd density value in the particle detection target space. It is explanatory drawing which shows the example of the wind direction wind speed model. It is explanatory drawing which shows the example of the blast control for particle induction.
  • FIG. It is explanatory drawing which shows the hardware composition of the control device of the indoor unit of the air conditioner which concerns on Embodiment 1.
  • FIG. It is explanatory drawing which shows the other hardware configuration of the control device of the indoor unit of the air conditioner which concerns on Embodiment 1.
  • FIG. It is a flowchart which shows the operation of the control device of the indoor unit of the air conditioner which concerns on Embodiment 1.
  • FIG. It is a flowchart which shows the operation of the control device of the indoor unit of the air conditioner which concerns on Embodiment 1.
  • FIG. It is a block diagram which shows the main part of another particle removal system including the air conditioner which concerns on Embodiment 1.
  • FIG. It is explanatory drawing which shows another example of the blast control for particle induction.
  • FIG. It is a block diagram which shows the main part of another particle removal system including the air conditioner which concerns on Embodiment 1.
  • FIG. It is explanatory drawing which shows another example of the blast control for particle induction.
  • FIG. It is a block diagram which shows the main part of the indoor unit of the air conditioner which concerns on Embodiment 2.
  • FIG. It is explanatory drawing which shows the example of the 1st wind measurement target area. It is explanatory drawing which shows the example of the 9th wind measurement target area.
  • It is a flowchart which shows the operation of the control device of the indoor unit of the air conditioner which concerns on Embodiment 2.
  • FIG. 5 is a block diagram showing a main part of another particle removal system including an air conditioner according to a third embodiment. It is explanatory drawing which shows another example of the blast control for particle induction.
  • FIG. 1 It is a block diagram which shows the main part of the indoor unit of another air conditioner which concerns on Embodiment 3.
  • FIG. 2 It is a block diagram which shows the main part of the indoor unit of another air conditioner which concerns on Embodiment 3.
  • FIG. 2 It is a block diagram which shows the main part of the indoor unit of another air conditioner which concerns on Embodiment 3.
  • FIG. 2 It is a block diagram which shows the main part of the particle removal system including the air conditioner which concerns on Embodiment 4.
  • FIG. It is a block diagram which shows the main part of the indoor unit of the air conditioner which concerns on Embodiment 4.
  • FIG. It is a flowchart which shows the operation of the control device of the indoor unit of the air conditioner which concerns on Embodiment 4.
  • FIG. 4 It is a block diagram which shows the main part of the indoor unit of another air conditioner which concerns on Embodiment 4.
  • FIG. It is a block diagram which shows the main part of the indoor unit of another air conditioner which concerns on Embodiment 4.
  • FIG. It is a block diagram which shows the main part of the indoor unit of another air conditioner which concerns on Embodiment 4.
  • FIG. 4 It is a block diagram which shows the main part of the indoor unit of another air conditioner which concerns on Embodiment 4.
  • FIG. 1 is a block diagram showing a main part of a particle removal system including an air conditioner according to a first embodiment.
  • FIG. 2 is a block diagram showing a main part of the indoor unit of the air conditioner according to the first embodiment.
  • the particle removal system including the air conditioner according to the first embodiment will be described with reference to FIGS. 1 and 2.
  • the main part of the particle removal system 500 is composed of the air conditioner 200, the ventilation device 300, and the air purifier 400.
  • the air conditioner 200 is composed of, for example, an air conditioner.
  • the ventilation device 300 is composed of, for example, a ventilation fan.
  • the air conditioner 200 has an indoor unit 1 and an outdoor unit 2.
  • the indoor unit 1 has a heat exchanger (not shown)
  • the outdoor unit 2 has another heat exchanger (not shown), and these heat exchangers have a refrigerant pipe (not shown). (Shown) are thermally connected to each other.
  • the outdoor unit 2 has a compressor for refrigerant (not shown) and the like. Since the structure, arrangement, operation, and the like of these members are known, detailed description thereof will be omitted.
  • the air conditioner 200 is operated by a remote controller (hereinafter referred to as "remote controller") 3.
  • the left-right direction with respect to the indoor unit 1 is referred to as "x direction”.
  • the front-rear direction with respect to the indoor unit 1 is referred to as a "y direction”.
  • the vertical direction with respect to the indoor unit 1 is referred to as "z direction”.
  • the azimuth direction of the indoor unit 1 with respect to the front-rear direction that is, the azimuth direction with respect to the y direction is simply referred to as “azimuth direction”.
  • the elevation / depression angle direction with respect to the front-rear direction of the indoor unit 1, that is, the elevation / depression angle direction with respect to the y direction is simply referred to as the "elevation / depression angle direction”.
  • the space S1 subject to air conditioning by the air conditioner 200 is referred to as an "air conditioning target space”. That is, the air conditioning target space S1 is a space to be ventilated by the ventilation device 300. Further, the air conditioning target space S1 is a space subject to air purification by the air purifier 400.
  • the air blowing direction ⁇ B with respect to the azimuth direction of the air blowing direction ⁇ B and ⁇ B with respect to the air harmonization target space S1 by the indoor unit 1 may be referred to as a “first air blowing direction”. Further, the air blowing direction ⁇ B with respect to the elevation / depression angle direction may be referred to as a “second air blowing direction”.
  • the indoor unit 1 has a wind direction plate (hereinafter referred to as “first wind direction plate”) 11 having a variable mounting angle with respect to the azimuth direction, and a wind direction plate having a variable mounting angle with respect to the elevation / depression angle direction (hereinafter referred to as “first wind direction plate”). It has (2) a wind direction plate () 12 and a fan (hereinafter referred to as a "blower fan”) 13 for blowing air to the air conditioning target space S1. Further, the indoor unit 1 has a drive motor 14 for the first wind direction plate 11, a drive motor 15 for the second wind direction plate 12, and a drive motor 16 for the blower fan 13.
  • Airflow direction control unit 21 by controlling the mounting angle of the first wind direction plate 11, by controlling the rotational position of the rotor of the drive motor 14, more specifically, controls the first blowing direction [Phi B Is. Further, the ventilation direction control unit 21 controls the second ventilation direction ⁇ B by controlling the mounting angle of the second wind direction plate 12, and more specifically, by controlling the rotation position of the rotor in the drive motor 15. Is what you do.
  • the blast air volume control unit 22 controls the rotation speed of the blast fan 13, and more specifically, by controlling the rotation speed of the rotor in the drive motor 16, the blast air volume with respect to the air conditioning target space S1 by the indoor unit 1. It controls V B.
  • the user of the air conditioner 200 inputs a set temperature value or the like using the remote controller 3.
  • the mounting angle of the first wind direction plate 11, the mounting angle of the second wind direction plate 12, the rotation speed of the blower fan 13, the operation of the compressor, and the like are controlled according to the input set temperature value and the like.
  • air conditioning for example, cooling or heating
  • blower control the control of the blower directions ⁇ B and ⁇ B by the blower direction control unit 21 and the control of the blower air volume V B by the blower air volume control unit 22 are collectively referred to as “blower control”. Further, the air-conditioning control for realizing the air-conditioning in the air-conditioning target space S1 is referred to as "air-conditioning air-conditioning control”.
  • the blast control unit 23 is composed of the blast direction control unit 21 and the blast volume control unit 22.
  • the indoor unit 1 has a rider 17.
  • the rider 17 is composed of, for example, a pulse modulation type rider or a CW (Continuous Wave) type rider. Since the structure and operating principle of the rider of each method are known, detailed description thereof will be omitted.
  • the output port OP of the laser beam L by the rider 17 is provided, for example, on the front portion of the indoor unit 1.
  • the rider 17 has a variable output direction (hereinafter referred to as “line-of-sight direction”) D of the laser beam L.
  • line-of-sight direction D of the laser beam L.
  • the rider 17 By outputting the laser beam L to the air-conditioning target space S1, the rider 17 exhibits a characteristic (hereinafter, “distance-intensity”) of the received signal with respect to the distance Z in the line-of-sight direction D (hereinafter referred to as “reception intensity”) P. "Characteristics”.) P (Z) is acquired.
  • the reception intensity P corresponds to, for example, the peak value of the power spectrum obtained by FFT (Fast Fourier Transform) with respect to the time axis waveform of the received signal. That is, the reception intensity P corresponds to the intensity of the received signal at the peak frequency. Since the method of acquiring the distance-strength characteristic P (Z) by the rider of each method is known, detailed description thereof will be omitted.
  • the rider 17 acquires the distance-intensity characteristic P (Z) in each of the plurality of line-of-sight directions D by scanning the space S1 for air conditioning in a raster scan manner.
  • the rider 17 outputs information indicating the distance-intensity characteristic P (Z) in each of the plurality of line-of-sight directions D (hereinafter referred to as “distance-intensity characteristic information”) to the first particle density calculation unit 24.
  • the distance-intensity characteristic information includes angle values ⁇ and ⁇ indicating the line-of-sight direction D corresponding to each distance-intensity characteristic P (Z).
  • ⁇ is an angle value with respect to the azimuth direction
  • ⁇ is an angle value with respect to the elevation / depression angle direction.
  • the first particle density calculation unit 24 uses the distance-intensity characteristic information output by the rider 17 to form a plurality of regions (hereinafter referred to as “first particle detection target regions”) A1 in the air harmonization target space S1.
  • first density value ⁇ 1 of a predetermined particulate substance
  • detection target particle a predetermined particulate substance
  • the plurality of first particle detection target regions A1 make at least a part of the air conditioning target space S1 (hereinafter referred to as “particle detection target space”) S2 in the x direction, the y direction, and the z direction. It is divided into predetermined intervals.
  • each first particle detection target region A1 is set to a value corresponding to the spatial resolution of the rider 17 (for example, several centimeters on each side).
  • the particle detection target space S2 is usually set to a space corresponding to the entire or substantially the entire air conditioning target space S1.
  • the detection target particle may include any particle as long as it has a particle size of a predetermined value or more.
  • This predetermined value is determined according to, for example, the wavelength of the laser beam L.
  • This predetermined value is, for example, 20 to 30 micrometers (hereinafter referred to as “ ⁇ m”) or 100 to 200 ⁇ m.
  • the particles to be detected include, for example, house dust, dust, dust, bacteria, viruses, molds, fine particulate matter (so-called "PM2.5”) and the like.
  • the first particle density calculation unit 24 is information indicating the distribution of the first density value ⁇ 1 in the air harmonization target space S1 (more specifically, the particle detection target space S2) (hereinafter referred to as “first particle density distribution information”). Is output to the second particle density calculation unit 25.
  • the second particle density calculation unit 25 spatially obtains the first density value ⁇ 1 calculated by the first particle density calculation unit 24 by using the first particle density distribution information output by the first particle density calculation unit 24. It is to average. More specifically, the second particle density calculation unit 25 averages the calculated first density value ⁇ 1 for each predetermined distance range with respect to the x direction, the y direction, and the z direction. The width of each distance range is set to a value of, for example, 10 centimeters or more and 1 meter or less. The second particle density calculation unit 25 may be used to obtain a moving average.
  • the second particle density calculation unit 25 is a plurality of regions (hereinafter, referred to as “second particle detection target region”) A2 in the air conditioning target space S1 (more specifically, the particle detection target space S2).
  • the density value (hereinafter referred to as "second density value") ⁇ 2 of the detection target particle is calculated. That is, each second particle detection target region A2 is formed by spatially merging two or more corresponding first particle detection target regions A1 among the plurality of first particle detection target regions A1. .. Therefore, the size of each second particle detection target region A2 is larger than the size of each first particle detection target region A1. On the other hand, the number of the second particle detection target region A2 is smaller than the number of the first particle detection target region A1.
  • the second particle density calculation unit 25 is information indicating the distribution of the second density value ⁇ 2 in the air harmonization target space S1 (more specifically, the particle detection target space S2) (hereinafter referred to as “second particle density distribution information”). Is output to the ventilation control unit 23.
  • the first density value ⁇ 1 and the second density value ⁇ 2 may be collectively referred to simply as “density value”.
  • this density value may be labeled with " ⁇ ".
  • the process in which the first particle density calculation unit 24 calculates the first density value ⁇ 1 and the process in which the second particle density calculation unit 25 calculates the second density value ⁇ 2 are collectively referred to as "particle detection process". That is, the particle detection process is a process of detecting the particles to be detected in the air conditioning target space S1 (more specifically, the particle detection target space S2).
  • the particle detection processing unit 26 is composed of the first particle density calculation unit 24 and the second particle density calculation unit 25.
  • a specific example of the distance-intensity characteristic P (Z), the distance-intensity characteristic to be compared with the distance-intensity characteristic P (Z) (hereinafter, “reference distance-intensity characteristic”).
  • Pref (Z) a specific example of the distribution of the first density value ⁇ 1 indicated by the first particle density distribution information, and a specific example of the second density value ⁇ 2 indicated by the second particle density distribution information will be described. To do.
  • a specific example of a method of calculating the first density value ⁇ 1 by the first particle density calculation unit 24 will be described.
  • the scattering intensity of Mie scattering is proportional to the backscattering coefficient.
  • the backscattering coefficient is a value corresponding to the volume density of particles in the air.
  • the reference distance-intensity characteristic Pref (Z) indicates the distance-intensity characteristic in each line-of-sight direction D when the density value ⁇ at each point in the air harmonization target space S1 is equal to or less than a predetermined threshold value ⁇ th1.
  • the reception intensity P at the distance-intensity characteristic P (Z) is larger than the reception intensity at the reference distance-intensity characteristic Def (Z) (hereinafter referred to as "reference reception intensity")
  • the density value ⁇ at the corresponding point is the threshold value. It can be said that the state is larger than ⁇ th1.
  • the reception intensity P is equal to or less than the reference reception intensity Pref, it can be said that the density value ⁇ at the corresponding point is the threshold value ⁇ th1 or less.
  • the threshold value ⁇ th1 is set to 25 micrograms per cubic meter (hereinafter referred to as “ ⁇ g / m 3 ”). This is a value based on the exposure limit of PM2.5 in the air quality guideline of WHO (World Health Organization).
  • FIG. 3 shows an example of the distance-intensity characteristic P (Z) and an example of the reference distance-intensity characteristic Pref (Z).
  • i indicates a range bin number
  • B (i) indicates a range bin
  • Z (i) indicates a distance value corresponding to each range bin.
  • the reference numeral “P (i)” may be used for the reception intensity P corresponding to each range bin B (i)
  • the reference reception intensity Pref corresponding to each range bin B (i) is referred to as “Pref (i)”.
  • a code may be used, and a code of “ ⁇ (i)” may be used for the density value ⁇ corresponding to each range bin B (i).
  • the reception intensities P (1) to P (4) in the range bins B (1) to B (4) are equivalent to the corresponding reference reception intensities Pref (1) to Pref (4). Therefore, the first particle density calculation unit 24 determines that the density values ⁇ (1) to ⁇ (4) at the points corresponding to the range bins B (1) to B (4) are all equal to or less than the threshold value ⁇ th1.
  • the reception intensities P (5) to P (10) in the range bins B (5) to B (10) are larger than the corresponding reference reception intensities Pref (5) to Pref (10). Therefore, the first particle density calculation unit 24 determines that the density values ⁇ (5) to ⁇ (10) at the points corresponding to the range bins B (5) to B (10) are all larger than the threshold value ⁇ th1.
  • the first particle density calculation unit 24 calculates the density value ⁇ (5) at the point corresponding to the range bin B (5) based on the absolute value
  • the first particle density calculation unit 24 is based on the absolute value
  • the density values ⁇ (6) to ⁇ (10) at the points corresponding to (10) are calculated respectively.
  • the x-coordinate value in the air-conditioning target space S1 of the point corresponding to each range bin B (i) is expressed by the following equation (1).
  • the y coordinate value in the air conditioning target space S1 at the relevant point is expressed by the following equation (2).
  • the z coordinate value in the air conditioning target space S1 at the relevant point is expressed by the following equation (3).
  • the point corresponding to each range bin B (i) is any of the plurality of first particle detection target regions A1. It is determined whether the point corresponds to the first particle detection target region A1 of the above.
  • the first particle density calculation unit 24 sets the density value ⁇ (i) at each point to the first density value ⁇ 1 in the corresponding first particle detection target region A1 based on the result of the determination.
  • the rider 17 scans the air conditioning target space S1 in a raster scan manner.
  • the first particle density calculation unit 24 calculates the density value ⁇ (i) in each range bin B (i) for each of the plurality of line-of-sight directions D. Then, the first particle density calculation unit 24 sets each of these density values ⁇ (i) to the first density value ⁇ 1 in the corresponding first particle detection target region A1.
  • the first density value ⁇ 1 in each of the plurality of first particle detection target regions A1 is calculated.
  • individual circles indicate the first density value ⁇ 1 in the corresponding first particle detection target region A1. That is, the darker the color of the circle, the larger the first density value ⁇ 1 in the corresponding first particle detection target region A1.
  • the first particle density calculation unit 24 outputs information indicating the distribution of the first density value ⁇ 1 in the particle detection target space S2, that is, the first particle density distribution information to the second particle density calculation unit 25.
  • the second particle density calculation unit 25 uses the first particle density distribution information output by the first particle density calculation unit 24 to space the first density value ⁇ 1 calculated by the first particle density calculation unit 24. Average. As a result, the second particle density calculation unit 25 calculates the second density value ⁇ 2 in each of the plurality of second particle detection target regions A2. As described above, the individual second particle detection target region A2 is formed by spatially merging two or more corresponding first particle detection target regions A1 among the plurality of first particle detection target regions A1. Is.
  • FIG. 5 shows an example of the second density value ⁇ 2 in each of the 12 second particle detection target regions A2 when the 12 second particle detection target regions A2 are set.
  • each sphere shows a second density value ⁇ 2 in the corresponding second particle detection target region A2. That is, the darker the color of the sphere, the larger the second density value ⁇ 2 in the corresponding second particle detection target region A2.
  • the indoor unit 1 has a communication device 19.
  • the communication device 19 is composed of, for example, a transmitter and a receiver for wireless communication.
  • the communication device 19 can communicate with each of the ventilation device 300 and the air purifier 400.
  • the communication control unit 31 uses the communication device 19 to acquire information indicating the installation position of the ventilation device 300 in the air conditioning target space S1 by communication between the indoor unit 1 and the ventilation device 300. Further, the communication control unit 31 uses the communication device 19 to acquire information indicating the installation position of the air purifier 400 in the air conditioning target space S1 by communication between the indoor unit 1 and the air purifier 400. .. Hereinafter, this information is collectively referred to as "installation position information".
  • the communication control unit 31 uses the communication device 19 to execute control for instructing the ventilation device 300 to start the operation of the ventilation device 300 by communication between the indoor unit 1 and the ventilation device 300. Further, the communication control unit 31 uses the communication device 19 to execute control for instructing the air purifier 400 to start the operation of the air purifier 400 by communicating between the indoor unit 1 and the air purifier 400. .. Hereinafter, these controls are collectively referred to as "operation start instruction control".
  • the communication control unit 31 uses the communication device 19 to execute control for instructing the ventilation device 300 to stop the operation of the ventilation device 300 by communication between the indoor unit 1 and the ventilation device 300. Further, the communication control unit 31 uses the communication device 19 to execute control for instructing the air purifier 400 to stop the operation of the air purifier 400 by communication between the indoor unit 1 and the air purifier 400. .. Hereinafter, these controls are collectively referred to as "operation stop instruction control".
  • the blast control unit 23 uses the second particle density distribution information output by the second particle density calculation unit 25 to set the detection target particles in the air conditioning target space S1 into a predetermined region (hereinafter referred to as “particle guidance target region””. ) Execute the ventilation control for guiding to A4 (hereinafter referred to as “particle induction blowing control”).
  • particle guidance target region a predetermined region
  • A4 a predetermined region
  • the ventilation control unit 23 compares the second density value ⁇ 2 in each second particle detection target region A2 with the predetermined threshold value ⁇ th2. As a result, the blower control unit 23 determines whether or not the particle induction blower control needs to be executed.
  • the blower control unit 23 needs to execute the blower control for particle guidance. Is determined to be.
  • the blower control unit 23 determines that the execution of the blower control for particle induction is unnecessary. ..
  • the threshold value ⁇ th2 is set in consideration of the influence of the detection target particles on the human body.
  • the threshold value ⁇ th2 may be set to a value equivalent to the threshold value ⁇ th1.
  • the communication control unit 31 acquires the installation position information and executes the operation start instruction control. Further, the blast control unit 23 starts the blast control for particle induction as follows.
  • the blast control unit 23 has a wind direction value (hereinafter referred to as "first wind direction value”) with respect to the azimuth direction in each of a plurality of regions (hereinafter referred to as “unit regions”) A5 in the air conditioning target space S1.
  • first wind direction value elevation wind direction value for the depression angle direction (hereinafter sometimes referred to as “second wind direction value”.)
  • theta M, and the wind speed V M model hereinafter referred to as "wind model”.
  • the blower control unit 23 stores in advance a plurality of wind direction and wind speed model tables T corresponding to the plurality of wind direction and wind speed models M.
  • the plurality of unit regions A5 are formed by dividing the air conditioning target space S1 into predetermined intervals in the x direction, the y direction, and the z direction.
  • FIG. 6 shows an example of a portion corresponding to a predetermined x-coordinate value in one wind direction wind speed model M among a plurality of wind direction wind speed models M.
  • each arrow of a plurality of white shows a wind vector D M in the corresponding unit region A5.
  • wind vector D M has an orientation which corresponds to the wind direction value [Phi M, theta M, and those having a size corresponding to the wind speed value V M.
  • the linear arrow indicates the air conditioning target space S1 when the blower control unit 23 executes the blower control by the blower directions ⁇ B , ⁇ B and the blower air volume V B corresponding to the one wind direction wind speed model M.
  • An example of the airflow AF generated inside is shown.
  • the ventilation control unit 23 uses the installation position information acquired by the communication control unit 31 to set a region (A4_1 in the figure) corresponding to the installation position of the ventilation device 300 in the particle guidance target region A4.
  • the region (A4_2 in the figure) corresponding to the installation position of the air purifier 400 is set as the particle induction target region A4.
  • the blow control unit 23 selects the wind direction / wind speed model M in which the airflows AF_1 and AF_2 that guide the particles to be detected (PM in the figure) to the particle guidance target regions A4_1 and A4_2 are generated from the plurality of wind direction / wind speed models M.
  • the blast control unit 23 uses the wind direction and speed model table T to execute blast control according to the blast directions ⁇ B , ⁇ B and the blast volume V B corresponding to the selected wind direction and speed model M.
  • the particles to be detected are guided to the particle induction target regions A4_1 and A4_2.
  • the detection target particles guided to the particle guidance target region A4-1 are discharged to the outside of the air conditioning target space S1 by the operating ventilation device 300.
  • the particles to be detected guided to the particle guidance target region A4-2 are removed by the operating air purifier 400.
  • the particle detection processing unit 26 executes the particle detection process at a predetermined time interval, and the air blow control unit 23 determines whether or not the particle guidance air blow control needs to be executed. When it is determined that the execution of the particle guiding blower control is necessary, the blower control unit 23 continues the particle guidance blower control. On the other hand, when it is determined that the execution of the particle guiding air blowing control is unnecessary, the air blowing control unit 23 ends the particle guiding air blowing control, and the communication control unit 31 executes the operation stop instruction control.
  • the main part of the control device 100 is composed of the blower control unit 23, the particle detection processing unit 26, and the communication control unit 31.
  • the main part of the indoor unit 1 is composed of the first wind direction plate 11, the second wind direction plate 12, the blower fan 13, the drive motor 14, the drive motor 15, the drive motor 16, the rider 17, the communication device 19, and the control device 100. There is.
  • the indoor unit 1 and the outdoor unit 2 form a main part of the air conditioner 200.
  • the control device 100 has a processor 41 and a memory 42.
  • the memory 42 stores a program for realizing the functions of the ventilation control unit 23, the particle detection processing unit 26, and the communication control unit 31.
  • the processor 41 reads out and executes the stored program, the functions of the ventilation control unit 23, the particle detection processing unit 26, and the communication control unit 31 are realized.
  • the control device 100 has a processing circuit 43.
  • the functions of the ventilation control unit 23, the particle detection processing unit 26, and the communication control unit 31 are realized by the dedicated processing circuit 43.
  • control device 100 has a processor 41, a memory 42, and a processing circuit 43 (not shown).
  • a processor 41 some of the functions of the blower control unit 23, the particle detection processing unit 26, and the communication control unit 31 are realized by the processor 41 and the memory 42, and the remaining functions are realized by the dedicated processing circuit 43. Will be done.
  • the processor 41 is composed of one or a plurality of processors.
  • a CPU Central Processing Unit
  • a GPU Graphics Processing Unit
  • a microprocessor a microcontroller
  • DSP Digital Signal Processor
  • the memory 42 is composed of one or a plurality of non-volatile memories. Alternatively, the memory 42 is composed of one or more non-volatile memories and one or more volatile memories.
  • the individual volatile memories are, for example, those using RAM (Random Access Memory).
  • the individual non-volatile memories include, for example, a ROM (Read Only Memory), a flash memory, an EPROM (Erasable Programmable Read Only Memory), an EEPROM (Electrically Erasable Advanced Storage), a Small Memory Disk (Erasable Digital Disk) Drive) is used.
  • the processing circuit 43 is composed of one or a plurality of digital circuits. Alternatively, the processing circuit 43 is composed of one or more digital circuits and one or more analog circuits. That is, the processing circuit 43 is composed of one or a plurality of processing circuits.
  • the individual processing circuits include, for example, an ASIC (Application Specific Integrated Circuit), a PLD (Programmable Logic Device), an FPGA (Field-Programmable Gate Array), an FPGA (Field-Programmable Gate Array), and a System-System (System) System. ) Is used.
  • control device 100 Next, with reference to the flowchart of FIG. 9, the operation of the control device 100 will be mainly described with particle detection processing, operation start instruction control, particle guidance ventilation control, and operation stop instruction control.
  • the rider 17 when the blower control unit 23 is executing the blower control for air conditioning, the rider 17 repeatedly scans the inside of the air conditioning target space S1. The rider 17 acquires the distance-intensity characteristic P (Z) in each of the plurality of line-of-sight directions D in each scan.
  • the particle detection processing unit 26 executes the processing of step ST1 when, for example, each scanning by the rider 17 is completed.
  • step ST1 the particle detection processing unit 26 executes the particle detection processing. Since the specific example of the particle detection process is as described above, the description thereof will be omitted again.
  • the particle detection processing unit 26 outputs the second particle density distribution information to the ventilation control unit 23.
  • step ST2 the blower control unit 23 determines whether or not the particle induction blower control needs to be executed by using the second particle density distribution information output by the particle detection processing unit 26. Since the specific example of the determination method by the blower control unit 23 is as described above, the description thereof will be omitted again.
  • step ST2 When it is determined that it is necessary to execute the particle guidance ventilation control (step ST2 “YES”), the communication control unit 31 executes the operation start instruction control in step ST3.
  • step ST4 the blower control unit 23 starts the blower control for particle guidance. Since the specific example of the blower control for particle induction is as described above, the description thereof will be omitted again. At this time, when the air-conditioning blower control is being executed, the air-conditioning control unit 23 may stop the air-conditioning blower control during the execution.
  • step ST4 After the particle induction ventilation control is started in step ST4, scanning by the rider 17 is repeatedly executed. When each scan by the rider 17 is completed, the process of step ST5 is executed.
  • step ST5 the particle detection processing unit 26 executes the particle detection processing. Since the specific example of the particle detection process is as described above, the description thereof will be omitted again.
  • the particle detection processing unit 26 outputs the second particle density distribution information to the ventilation control unit 23.
  • step ST6 the blower control unit 23 determines whether or not the particle induction blower control needs to be executed by using the second particle density distribution information output by the particle detection processing unit 26. Since the specific example of the determination method by the blower control unit 23 is as described above, the description thereof will be omitted again.
  • step ST6 “NO” When it is determined that the execution of the particle guiding air blow control is necessary (step ST6 “NO”), the particle guiding air blow control is continued. On the other hand, when it is determined that the execution of the particle guiding air blowing control is unnecessary (step ST6 “YES”), the air blowing control unit 23 ends the particle guiding air blowing control in step ST7. At this time, the air-conditioning control unit 23 may restart the air-conditioning air-conditioning control that was stopped at the timing of step ST2 “YES”. Next, in step ST8, the communication control unit 31 executes the operation stop instruction control.
  • the air conditioner 200 executes the particle detection process using the rider 17.
  • the lidar 17 for the particle detection process, it is possible to detect the particles to be detected in the region near the installation position of the indoor unit 1 at an early stage, and the particles to be detected in the region far from the installation position. Can be detected early.
  • the rider 17 for the particle detection process it is possible to detect the distribution state of the density value ⁇ in a wide range (for example, substantially the entire area) in the air conditioning target space S1.
  • the airflow AF suitable for removing the particles to be detected can be generated by using the wind direction and speed model table T. Specifically, for example, an airflow AF that guides the particles to be detected to the ventilation device 300 or the air purifier 400 can be generated.
  • the particle removal system 500 may not include the air purifier 400.
  • the region (A4-1 in the figure) corresponding to the installation position of the ventilation device 300 may be set in the particle induction target region A4.
  • the particle removal system 500 may not include the ventilation device 300.
  • the region (A4_2 in the figure) corresponding to the installation position of the air purifier 400 may be set in the particle induction target region A4.
  • a different wind direction and speed model M may be selected for each type of particles to be detected.
  • This viscosity has sense target particles, the weight of the molecules contained in the detection target particles, and depending on the size of the molecules contained in the detection target particles, wind velocity V M required for the induction of the detection target particles (i.e. detection This is because the amount of air blown air V B ) required to guide the target particles may differ.
  • At least a part of the wind direction and wind speed models M among the plurality of wind direction and wind speed models M may use a trained model by so-called "machine learning”.
  • the particle detection processing unit 26 may not have the second particle density calculation unit 25. In this case, the particle detection processing unit 26 may output the first particle density distribution information to the ventilation control unit 23.
  • the blower control unit 23 uses the first density value ⁇ 1 instead of the second density value ⁇ 2 to determine whether or not the particle guide blower control needs to be executed, and even if the particle guide blower control is executed. good.
  • a model of wind direction values ⁇ M and ⁇ M in each of the plurality of unit regions A5 (hereinafter referred to as “wind direction model”) M'and this.
  • a table (hereinafter referred to as "wind direction model table”) T'showing the correspondence between the blowing directions ⁇ B and ⁇ B for realizing the wind direction model M' may be stored in advance.
  • the blowing directions ⁇ B and ⁇ B in the particle guiding blowing control are set to the values corresponding to the selected wind direction model M', while the blowing air volume V B in the particle guiding blowing control is the air conditioning blowing control. It may be set to the same value as the air volume V B in .
  • the method of controlling the air volume V B by the air volume control unit 22 is not limited to the method of controlling the rotation speed of the rotor in the drive motor 16.
  • the indoor unit 1 may have a damper (not shown) for adjusting the air volume.
  • the blast air volume control unit 22 may control the blast air volume V B by controlling the damper, that is, by changing the duct resistance curve.
  • the air conditioner 200 may be any device for air conditioning and is not limited to the air conditioner.
  • the air conditioner 200 may be composed of a fan, a blower, or an air duct device.
  • the particle removal system 500 may include a plurality of air conditioners 200.
  • the blower control for particle guidance by the selected wind direction and speed model M may be realized by coordinating the plurality of air conditioners 200. As a result, it is possible to realize the blowing control for particle guidance by the complicated wind direction and speed model M.
  • the air conditioner 200 uses the rider 17 to set the density value ⁇ and the particle detection processing unit 26 for calculating the density value ⁇ of the detection target particles in the air conditioning target space S1. It is provided with a ventilation control unit 23 for controlling the ventilation directions ⁇ B and ⁇ B with respect to the air conditioning target space S1.
  • a ventilation control unit 23 for controlling the ventilation directions ⁇ B and ⁇ B with respect to the air conditioning target space S1.
  • the particle detection processing unit 26 spatially averages the first particle density calculation unit 24 for calculating the first density value ⁇ 1 in each of the plurality of first particle detection target regions A1 and the first density value ⁇ 1.
  • the second particle density calculation unit 25 for calculating the second density value ⁇ 2 in each of the plurality of second particle detection target regions A2 is provided, and the ventilation control unit 23 sets the second density value ⁇ 2. It is used to control the ventilation directions ⁇ B and ⁇ B.
  • the second density value ⁇ 2 it is possible to stabilize the detection of the particles to be detected as compared with the case where the first density value ⁇ 1 is used.
  • the processing load of the blower control unit 23 can be reduced.
  • blower control unit 23 controls the blower air volume V B with respect to the blower directions ⁇ B , ⁇ B and the air conditioning target space S1 by using the density value ⁇ .
  • the particle detection processing unit 26 spatially averages the first particle density calculation unit 24 for calculating the first density value ⁇ 1 in each of the plurality of first particle detection target regions A1 and the first density value ⁇ 1.
  • the second particle density calculation unit 25 for calculating the second density value ⁇ 2 in each of the plurality of second particle detection target regions A2 is provided, and the ventilation control unit 23 sets the second density value ⁇ 2. It is used to control the ventilation direction ⁇ B , ⁇ B and the ventilation air volume V B.
  • the second density value ⁇ 2 it is possible to stabilize the detection of the particles to be detected as compared with the case where the first density value ⁇ 1 is used.
  • the processing load of the blower control unit 23 can be reduced.
  • the ventilation control unit 23 guides the detection target particles to the particle guidance target region A4 in the air conditioning target space S1 by controlling the ventilation directions ⁇ B and ⁇ B. Thereby, for example, the particles to be detected can be guided to the region corresponding to the installation position of the ventilation device 300 or the region corresponding to the installation position of the air purifier 400.
  • the blast control unit 23 guides the particles to be detected to the particle guidance target region A4 in the air conditioning target space S1 by controlling the blast directions ⁇ B , ⁇ B and the blast air volume V B. Thereby, for example, the particles to be detected can be guided to the region corresponding to the installation position of the ventilation device 300 or the region corresponding to the installation position of the air purifier 400.
  • the ventilation control unit 23 sets the region corresponding to the installation position of the ventilation device 300 in the air conditioning target space S1 to the particle guidance target region A4. As a result, it is possible to realize the removal of the detection target particles by the ventilation device 300.
  • blower control unit 23 sets the region corresponding to the installation position of the air purifier 400 in the air conditioning target space S1 to the particle guidance target region A4. As a result, it is possible to realize the removal of the particles to be detected by the air purifier 400.
  • the particle removal system 500 includes an air conditioner 200 and a ventilation device 300. As a result, it is possible to realize the removal of the detection target particles by the ventilation device 300.
  • the particle removal system 500 includes an air conditioner 200 and an air purifier 400. As a result, it is possible to realize the removal of the particles to be detected by the air purifier 400.
  • control method according to the first embodiment is a control method of the air conditioner 200, in which the particle detection processing unit 26 uses the rider 17 to set the density value ⁇ of the detection target particles in the air conditioning target space S1. After calculation, the ventilation control unit 23 controls the ventilation directions ⁇ B and ⁇ B with respect to the air conditioning target space S1 by using the density value ⁇ . Thereby, the same effect as the above effect by the air conditioner 200 can be obtained.
  • FIG. 14 is a block diagram showing a main part of the particle removal system including the air conditioner according to the second embodiment.
  • FIG. 15 is a block diagram showing a main part of the indoor unit of the air conditioner according to the second embodiment.
  • a particle removal system including an air conditioner according to a second embodiment will be described with reference to FIGS. 14 and 15.
  • FIG. 14 the same blocks as those shown in FIG. 1 are designated by the same reference numerals, and the description thereof will be omitted. Further, in FIG. 15, the same blocks as those shown in FIG. 2 are designated by the same reference numerals, and the description thereof will be omitted.
  • the main part of the particle removal system 500a is composed of the air conditioner 200a, the ventilation device 300, and the air purifier 400.
  • the rider 17 acquires the distance-intensity characteristic P (Z) in each of the plurality of line-of-sight directions D by scanning in the air-conditioning target space S1.
  • the rider 17 is subjected to the scanning at a point corresponding to at least one distance value Z (i) in each of the plurality of line-of-sight directions D (hereinafter referred to as “wind measurement target point”) Pr.
  • the wind speed value for the line-of-sight direction D (hereinafter referred to as "line-of-sight direction wind speed value”) Vr is acquired.
  • the rider 17 outputs information including the angle values ⁇ and ⁇ and the line-of-sight direction wind speed value Vr (hereinafter referred to as “line-of-sight direction wind speed information”) to the wind measurement processing unit 29.
  • the wind measurement processing unit 29 uses the line-of-sight direction wind speed information output by the rider 17 to azimuth angles in each of the N regions (hereinafter referred to as “wind measurement target regions”) A6 in the air conditioning target space S1.
  • the wind direction value (that is, the first wind direction value) ⁇ L with respect to the direction
  • the wind direction value (that is, the second wind direction value) ⁇ L with respect to the elevation / depression angle direction
  • the wind speed value VL are calculated.
  • Each of the N wind measurement target areas A6 is, for example, an area surrounded by the corresponding M wind measurement target points Pr among the plurality of wind measurement target points Pr.
  • N is an arbitrary integer of 2 or more
  • M is an arbitrary integer of 3 or more.
  • the wind measurement processing unit 29 is composed of the wind direction value calculation unit 27 that calculates the wind direction values ⁇ L and ⁇ L , and the wind speed value calculation unit 28 that calculates the wind speed value VL .
  • the process in which the wind direction value calculation unit 27 calculates the wind direction values ⁇ L and ⁇ L and the process in which the wind speed value calculation unit 28 calculates the wind speed value VL are collectively referred to as “wind measurement process”.
  • _n may be added to each code related to the nth wind measurement target area A6 of the N wind measurement target areas A6 (1 ⁇ n ⁇ N).
  • _n_m may be added to each code related to the mth wind measurement target point Pr among the M wind measurement target points Pr corresponding to the nth wind measurement target area A6 (1 ⁇ m ⁇ ). M).
  • the rider 17 emits laser light in each of the line-of-sight direction D_1, which corresponds to the angle values ⁇ _1 and ⁇ _1, the line-of-sight direction D_1, which corresponds to the angle values ⁇ _1, and ⁇ _1, and the line-of-sight direction D_1, which corresponds to the angle values ⁇ _1, and ⁇ _1.
  • L is output.
  • the three wind speed values in the line-of-sight direction Vr_1_1, Vr_1_2, and Vr_1_3 at the three wind measurement target points Pr_1, Pr_1_2, and Pr_1_3 are acquired, respectively.
  • Vu is a wind speed value in the x direction at the corresponding wind measurement target point Pr.
  • Vv is a wind speed value in the y direction at the corresponding wind measurement target point Pr.
  • Vw is a wind speed value in the z direction at the corresponding wind measurement target point Pr.
  • Vr Vu ⁇ sin ⁇ ⁇ cos ⁇ + Vv ⁇ cos ⁇ ⁇ cos ⁇ + Vw ⁇ sin ⁇ (4)
  • the wind measurement processing unit 29 calculates the wind speed values Vu_1, Vv_1, Vw_1 in the first wind measurement target region A6_1 by solving this ternary simultaneous equation.
  • the first wind measurement target area A6_1 is an area surrounded by three wind measurement target points Pr_1_1, Pr_1_2, and Pr_1-3.
  • the wind direction value calculation unit 27 calculates the wind direction value ⁇ L in the first wind measurement target region A6-1 by the following formula (5) using the wind speed values Vu_1 and Vv_1 calculated by the above formula (4). To do. Further, the wind direction value calculation unit 27 uses the wind speed values Vu_1, Vv_1, Vw_1 calculated by the above equation (4), and the wind direction value ⁇ L in the first wind measurement target region A6_1 by the following equation (6). Is calculated. Moreover, wind speed value calculation unit 28, the equation (4) wind velocity values calculated by Vu_1, Vv_1, using VW_1, the following equation (7), the wind speed value in the first wind measurement target region A6_1 V L Is calculated.
  • wind direction value [Phi L, theta L and wind speed V L is calculated in the wind measurement target region A6_N of the N (see FIG. 17).
  • the wind direction value calculation unit 27 considers that the wind direction and the wind speed in each wind measurement target area A6 are uniform, and the wind direction values ⁇ L , ⁇ L and the wind speed value V in each wind measurement target area A6. L is calculated. Therefore, it is preferable to set the size of each wind measurement target region A6 to a value small enough to be considered to have uniform wind direction and speed in each wind measurement target region A6.
  • the difference value between each of the two angle values ⁇ _n among the M angle values ⁇ _n_1 to ⁇ _n_M is set to a value (for example, 2 degrees) according to the size of the nth wind measurement target region A6_n. .. Further, the difference value between each of the two angle values ⁇ _n among the M angle values ⁇ _n_1 to ⁇ _n_M is set to a value (for example, 2 degrees) according to the size of the nth wind measurement target region A6_n. ..
  • the blast control unit 23a executes blast control for air conditioning and blast control for particle induction.
  • the wind direction wind speed model M selected from the plurality of wind direction wind speed models M is used for the air blow control for particle guidance.
  • the selected wind direction / wind speed model M is referred to as a “selected wind direction / wind speed model”.
  • the wind direction / wind speed model table T corresponding to the selected wind direction / wind speed model M is referred to as a “selected wind direction / wind speed model table”.
  • the blower control unit 23a the wind direction value calculated by the wind measurement processing unit 29 [Phi L, using a theta L and wind speed value V L, the blowing direction [Phi B indicated by selecting Wind model table T, theta B and against blowing air volume V B, and has a function to correct the blowing direction ⁇ B, ⁇ B and the blower air volume V B of the air blow control particle induction (i.e. corrected).
  • the blower direction control unit 21a controls to correct the first blower direction ⁇ B
  • the blower direction control unit 21a controls to correct the second blower direction ⁇ B
  • the blower air volume control unit 22a corrects the blower air volume V B.
  • the control is collectively called "correction control”. Specific examples of correction control are as follows.
  • the blowing direction control unit 21a includes a first wind direction value [Phi L in each wind measurement target region A6, the difference value [Phi E between the first wind direction value [Phi M in the corresponding unit region A5 in selective Wind model M calculate.
  • N difference values ⁇ E corresponding to N wind measurement target regions A6 on a one-to-one basis are calculated.
  • blowing direction control unit 21a a second wind direction values in individual wind measurement target region A6 theta L, the difference value theta E and the second wind direction value theta M in the corresponding unit region A5 in selective Wind model M calculate.
  • N difference values ⁇ E corresponding one-to-one with the N wind measurement target regions A6 are calculated.
  • blowing air volume control unit 22a calculates the wind velocity value V L in the individual wind measurement target region A6, the difference value V E of the wind speed V M at the corresponding unit area A5 in selective Wind model M.
  • the N differential values V E corresponding one-to-one with the N wind measurement target region A6 is calculated.
  • the air blowing direction control section 21a At least one of the difference values of the N difference values [Phi E (hereinafter referred to as "comparative difference value”.) Compare [Phi E with a predetermined threshold Faith.
  • the comparison difference value ⁇ E is, for example, the largest difference value ⁇ E among the N difference values ⁇ E.
  • the ventilation direction control unit 21a calculates an RMS (Root Mean Square) error ⁇ RMSE based on N difference values ⁇ E , and compares the calculated RMS error ⁇ RMSE with a predetermined threshold value ⁇ th.
  • the ventilation direction control unit 21a determines that the first ventilation direction ⁇ B needs to be corrected. On the other hand, when the comparison difference value ⁇ E or the RMS error ⁇ RMSE is less than the threshold value ⁇ th, the ventilation direction control unit 21a determines that the correction of the first ventilation direction ⁇ B is unnecessary.
  • blowing direction control section 21a at least one of the difference values of the N difference values theta E (hereinafter referred to as "comparative difference value”.)
  • the theta E with a predetermined threshold value .theta.TH.
  • the comparison difference value ⁇ E is, for example, the largest difference value ⁇ E among the N difference values ⁇ E.
  • blowing direction control unit 21a calculates the RMS error theta RMSE by the N difference values theta E, compare the RMS error theta RMSE, which is the calculated to a predetermined threshold value .theta.TH.
  • blowing direction control unit 21a determines that the second blowing direction ⁇ B needs to be corrected.
  • blowing direction control unit 21a determines that the second blowing direction theta B correction is not required.
  • blowing air volume control section 22a at least one of the difference values of the N difference values V E (hereinafter referred to as "comparative difference value”.) Compare V E with a predetermined threshold Vth. Comparative difference value V E is, for example, the largest difference value V E of the N difference values V E. Or, blow air volume control unit 22a calculates the RMS error V RMSE by the N difference values V E, compare the RMS error V RMSE, which is the calculated to a predetermined threshold value Vth. If the comparison difference value V E or RMS error V RMSE is equal to or greater than the threshold Vth, blowing air volume control unit 22a determines that the correction of the blowing air volume V B is essential. On the other hand, when the comparison difference value V E or RMS error V RMSE is smaller than the threshold value Vth, blowing air volume control unit 22a determines that the correction of the blowing air volume V B is not required.
  • the blowing direction control unit 21a receives at least one of the N difference values ⁇ E (hereinafter referred to as “correction difference value”). .) Calculate the correction value ⁇ C according to ⁇ E.
  • the correction difference value ⁇ E is, for example, the largest difference value ⁇ E among the N difference values ⁇ E. Airflow direction control unit 21a on the basis of the correction value [Phi C which is the calculated, corrected for the first blowing direction [Phi B indicated by selecting Wind model table T, the first blowing direction [Phi B in blast control particles derived To do.
  • the blowing direction control unit 21a sends the difference value of at least one of the N difference values ⁇ E (hereinafter, “correction difference value”). ”.) Calculate the correction value ⁇ C according to ⁇ E.
  • the correction difference value ⁇ E is, for example, the largest difference value ⁇ E among the N difference values ⁇ E.
  • Airflow direction control unit 21a based on the correction value theta C which is the calculated, corrected for the second blowing direction theta B indicated by selecting Wind model table T, a second blowing direction theta B in the particle-induced blower control To do.
  • blowing air volume control section 22a if the correction of the blowing air volume V B is determined to be needed, blowing air volume control section 22a, at least one of the difference values of the N difference values V E (hereinafter referred to as "correction difference value” .) and calculates a correction value V C corresponding to V E.
  • Correction difference value V E is, for example, the largest difference value V E of the N difference values V E.
  • Blowing air volume control unit 22a based on the correction value V C, which is the calculated, relative to the blowing air volume V B indicated selection Wind model table T, corrects the blowing air volume V B of the air blow control particle induction.
  • Respect wind direction and wind speed of the air-conditioning target space S1, the installation situation of furniture within the air-conditioning target space S1, the target value (i.e. ⁇ M, ⁇ M, V M ) measured values for (i.e. ⁇ L, ⁇ L, An error of VL ) may occur.
  • the error can be reduced by executing the correction control by the blower control unit 23a.
  • the accuracy of induction by the blower control for particle induction can be improved.
  • the rider 17 may scan the air conditioning target space S1 a plurality of times during the execution of the particle guidance ventilation control, and the wind measurement process and the correction control may be executed a plurality of times. Thereby, the above error can be gradually reduced. That is, the correction control may be by so-called "feedback control".
  • the main part of the control device 100a is composed of the air blow control unit 23a, the particle detection processing unit 26, the wind measurement processing unit 29, and the communication control unit 31.
  • the main part of the indoor unit 1a is composed of the first wind direction plate 11, the second wind direction plate 12, the blower fan 13, the drive motor 14, the drive motor 15, the drive motor 16, the rider 17, the communication device 19, and the control device 100a.
  • the indoor unit 1a and the outdoor unit 2 form a main part of the air conditioner 200a.
  • the functions of the air blow control unit 23a, the particle detection processing unit 26, the wind measurement processing unit 29, and the communication control unit 31 may be realized by the processor 41 and the memory 42, or by a dedicated processing circuit 43. It may be realized.
  • control device 100a Next, with reference to the flowchart of FIG. 18, the operation of the control device 100a will be described focusing on the wind measurement process and the correction control.
  • the rider 17 repeatedly scans the air conditioning target space S1 during the execution of the particle induction ventilation control, that is, between steps ST4 and ST7 shown in FIG. During the execution of the particle guidance blower control, the wind measurement process and the correction control are repeatedly executed according to the scanning by the rider 17.
  • step ST11 the wind measurement processing unit 29 executes the wind measurement processing. Since the specific example of the wind measurement process is as described above, the description thereof will be omitted again.
  • wind direction value [Phi L in each of the N wind measurement target region A6, theta L and wind speed V L is calculated.
  • the blowing direction control unit 21a uses the first wind direction value [Phi L of N calculated by the wind measurement process in step ST11, determines the necessity of the first blowing direction [Phi B fixes To do. Further, at step ST13, the blowing direction control unit 21a uses the second wind direction value theta L of N calculated by the wind measurement process in step ST11, determines the necessity of the second blowing direction theta B fixes To do. Further, in step ST14, the blast air volume control unit 22a determines whether or not the blast air volume V B needs to be corrected by using the N wind speed values VL calculated by the wind measurement process in step ST11. Since specific examples of these determination methods are as described above, the description thereof will be omitted again.
  • step ST15 the air blowing direction control unit 21a is the first indicated by the selected wind direction wind speed model table T in step ST4. relative airflow direction [Phi B, modifying the first blowing direction [Phi B in blast control particles induction.
  • step ST12 “NO” the processing of step ST15 is skipped.
  • step ST16 when it is determined that the correction of the second blowing direction ⁇ B is necessary (step ST13 “YES”), in step ST16, the blowing direction control unit 21a is shown by the selected wind direction and wind speed model table T in step ST4.
  • the second blowing direction ⁇ B in the particle guiding blowing control is modified with respect to the second blowing direction ⁇ B.
  • step ST13 “NO” when it is determined that the correction of the second blowing direction ⁇ B is unnecessary (step ST13 “NO”), the processing of step ST16 is skipped.
  • step ST17 the air volume control unit 22a uses the air volume control unit 22a to indicate the air volume indicated by the selected wind direction and speed model table T in step ST4.
  • V B the air volume V B in the air blow control for particle induction is corrected.
  • step ST14 “NO” the process of step ST17 is skipped.
  • the ventilation control unit 23a executes the correction control. Since the specific example of the correction control is as described above, the description thereof will be omitted again.
  • blowing direction control unit 21a instead of the RMS error [Phi RMSE, may be configured to compare the average value of N difference values [Phi E with a predetermined threshold Faith.
  • Airflow direction control unit 21a instead of the RMS error theta RMSE, may be configured to compare the average value of N difference values theta E with a predetermined threshold .theta.TH.
  • Blowing air volume control unit 22a instead of the RMS error V RMSE, may be configured to compare the average value of N difference values V E with a predetermined threshold Vth.
  • the correction control may be intended only for the ventilation directions ⁇ B and ⁇ B. That is, the air volume V B may be excluded from the target of correction control. In this case, it is not necessary to calculate the wind speed value VL in the wind measurement process. Further, the processing of steps ST14 and ST17 shown in FIG. 18 is unnecessary. However, from the viewpoint of improving the accuracy of guidance by the blower control for particle guidance, it is more preferable to include the blower air volume V B in the correction control target.
  • the correction control may be intended only for the first blowing direction ⁇ B. That is, the second blowing direction ⁇ B and the blowing air volume V B may be excluded from the target of the correction control.
  • the term of Vw ⁇ sin ⁇ in the above equation (4) is unnecessary.
  • the ventilation control unit 23a uses the second particle density distribution information output by the second particle density calculation unit 25 to use the region in which the high-density detection target particles exist (that is, the second density value ⁇ 2 having a threshold value ⁇ th2 or more).
  • the region corresponding to the second particle detection target region A2 having the above) may be set in the wind measurement target region A6.
  • the rider 17 may be configured by a pulse type Doppler lidar.
  • the rider 17 outputs the laser beam L in one line-of-sight direction D
  • the line-of-sight direction wind speed value Vr at each of the plurality of wind measurement target points Pr arranged along the line-of-sight direction D is acquired. can do. Therefore, as shown in FIG. 19, a plurality of wind measurement target regions A6 arranged along the line-of-sight direction D can be set at one time.
  • the air conditioner 200a can employ various modifications similar to those described in the first embodiment. Further, as the particle removing system 500a, various modifications similar to those described in the first embodiment can be adopted.
  • the air conditioner 200a includes a wind measurement processing unit 29 that calculates the wind direction values ⁇ L and ⁇ L in the air harmonization target space S1 by using the rider 17, and is a blow control unit.
  • 23a controls the blowing directions ⁇ B and ⁇ B by using the density value ⁇ and the wind direction values ⁇ L and ⁇ L.
  • the correction control for the blowing directions ⁇ B and ⁇ B can improve the accuracy of guidance by the blowing control for particle guidance.
  • the air conditioner 200a using the rider 17, with the wind measurement processing unit 29 for calculating the air-conditioning target space S1 wind direction value [Phi L, a theta L and wind speed value V L, the blower control unit 23a, the density
  • the blowing direction ⁇ B , ⁇ B and the blowing air volume V B are controlled by using the value ⁇ , the wind direction value ⁇ L , ⁇ L, and the wind speed value VL .
  • FIG. 20 is a block diagram showing a main part of the particle removal system including the air conditioner according to the third embodiment.
  • FIG. 21 is a block diagram showing a main part of the indoor unit of the air conditioner according to the third embodiment.
  • a particle removal system including an air conditioner according to a third embodiment will be described with reference to FIGS. 20 and 21.
  • FIG. 20 the same blocks as those shown in FIG. 1 are designated by the same reference numerals, and the description thereof will be omitted. Further, in FIG. 21, the same blocks as those shown in FIG. 2 are designated by the same reference numerals, and the description thereof will be omitted.
  • the main part of the particle removal system 500b is composed of the air conditioner 200b, the ventilation device 300, and the air purifier 400.
  • the rider 17 acquires the distance-intensity characteristic P (Z) in each of the plurality of line-of-sight directions D by scanning in the air-conditioning target space S1.
  • the rider 17 acquires so-called "intensity image” and "distance image” by the scanning.
  • Each pixel in the intensity image indicates an intensity value (for example, reception intensity P) of a received signal obtained by outputting the laser beam L in the line-of-sight direction D corresponding to the pixel.
  • Each pixel in the distance image indicates a distance value obtained by outputting the laser beam L in the line-of-sight direction D corresponding to the pixel.
  • the rider 17 outputs image information indicating the acquired intensity image (hereinafter referred to as “intensity image information”) and image information indicating the acquired distance image (hereinafter referred to as “distance image information”). ..
  • the images acquired by the rider 17 may be collectively referred to as “rider images”.
  • the object detection processing unit 30 executes a process of detecting an object O in the air harmonized target space S1 (hereinafter referred to as “object detection process”) using the intensity image information and the distance image information output by the rider 17. Is.
  • object detection process a process of detecting an object O in the air harmonized target space S1 (hereinafter referred to as “object detection process”) using the intensity image information and the distance image information output by the rider 17.
  • object detection process includes, for example, a person and furniture. Specific examples of the object detection process are as follows.
  • the object O is a so-called "hard target”. Therefore, first, the object detection processing unit 30 extracts the pixel group corresponding to the hard target in the rider image by executing the threshold value processing on the intensity image.
  • the intensity value of each pixel included in the pixel group corresponding to a hard target is one of about 104 times larger than the intensity values of other pixels. Therefore, by executing the threshold processing on the intensity image, the pixel group corresponding to the hard target in the rider image can be extracted.
  • the object detection processing unit 30 is based on the coordinate values of the extracted pixel group in the rider image and the distance value of the extracted pixel group in the distance image, and the three-dimensional position of each object O in the air conditioning target space S1. Is calculated. That is, by using the distance image in addition to the intensity image, it is possible to calculate the position of the object O in the x direction and the z direction, as well as the position of the object O in the y direction.
  • the object detection processing unit 30 determines whether or not the extracted pixel group corresponds to a person by executing pattern matching processing on the intensity image or the distance image. As a result, it is determined whether or not each object O is a person. Further, the object detection processing unit 30 determines whether or not the extracted pixel group corresponds to furniture by executing pattern matching processing on the intensity image or the distance image. As a result, it is determined whether or not each object O is furniture.
  • the object detection processing unit 30 outputs information indicating the result of the object detection processing (hereinafter referred to as “object detection result information”) to the ventilation control unit 23.
  • object detection result information information indicating the result of the object detection processing
  • the blast control unit 23 uses the object detection result information output by the object detection processing unit 30 for the particle guidance blast control. More specifically, the blower control unit 23 uses the output object detection result information for selecting the wind direction and speed model M.
  • the object detection processing unit 30 selects a wind direction and speed model M capable of realizing an airflow AF that avoids the person in the particle guidance ventilation control.
  • the person (FIG. 22) is controlled by blowing air for particle guidance based on the wind direction wind speed model table (that is, the selected wind direction wind speed model table) T corresponding to the selected wind direction wind speed model (that is, the selected wind direction wind speed model) M.
  • Airflow AF that avoids medium H
  • the object detection processing unit 30 selects the wind direction wind speed model M capable of realizing the airflow AF that avoids the furniture in the airflow control for particle guidance.
  • the furniture (FIG. 22) is controlled by blowing air for particle guidance based on the wind direction wind speed model table (that is, the selected wind direction wind speed model table) T corresponding to the selected wind direction wind speed model (that is, the selected wind direction wind speed model) M.
  • An airflow AF that avoids middle F) is generated. As a result, it is possible to prevent the particles to be detected (PM in the figure) from adhering to the furniture.
  • the main part of the control device 100b is composed of the blast control unit 23, the particle detection processing unit 26, the object detection processing unit 30, and the communication control unit 31.
  • the main part of the indoor unit 1b is composed of the first wind direction plate 11, the second wind direction plate 12, the blower fan 13, the drive motor 14, the drive motor 15, the drive motor 16, the rider 17, the communication device 19, and the control device 100b. There is.
  • the indoor unit 1b and the outdoor unit 2 form a main part of the air conditioner 200b.
  • the functions of the blower control unit 23, the particle detection processing unit 26, the object detection processing unit 30, and the communication control unit 31 may be realized by the processor 41 and the memory 42, or may be realized by the dedicated processing circuit 43. It may be realized.
  • FIG. 23 the operation of the control device 100b will be described focusing on particle detection processing, operation start instruction control, object detection processing, and air blow control for particle guidance.
  • the same steps as those shown in FIG. 9A are designated by the same reference numerals, and the description thereof will be omitted.
  • step ST1 the processes of steps ST1 and ST2 are executed. If it is determined that step ST2 is “YES”, the process of step ST3 is executed.
  • step ST21 the object detection processing unit 30 executes the object detection process. Since the specific example of the object detection process is as described above, the description thereof will be omitted again.
  • the object detection processing unit 30 outputs the object detection result information to the ventilation control unit 23.
  • step ST4a the blower control unit 23 starts the blower control for particle guidance.
  • the blast control unit 23 uses the object detection result information output by the object detection processing unit 30 to select the wind direction and speed model M. Since the specific example of the blower control for particle induction is as described above, the description thereof will be omitted again.
  • step ST4a After the particle induction ventilation control is started in step ST4a, the processes of steps ST5 to ST8 are executed. Since these processes are the same as those described with reference to FIG. 9B in the first embodiment, illustration and description thereof will be omitted.
  • the object O to be detected by the object detection process is not limited to people and furniture.
  • the object detection processing unit 30 may detect a wall in the air-conditioning target space S1 and also detect an open window in the wall by executing the object detection process.
  • the use of the object detection result information is not limited to the selection of the wind direction and wind speed model M.
  • the ventilation control unit 23 may use the object detection result information for setting the particle guidance target region A4.
  • the main part of the particle removal system 500b may be configured by the air conditioner 200b.
  • the particle removal system 500b may not include the ventilation device 300, and the particle removal system 500b may not include the air purifier 400.
  • the ventilation control unit 23 sets the region (A4_3 in the figure) corresponding to the open window (OW in the figure) to the particle guidance target region A4 by using the object detection result information. It may be a thing.
  • control device 100b may have a wind measurement processing unit 29. Further, the control device 100b may have a blast control unit 23a instead of the blast control unit 23. In this case, the blower control unit 23a may use the object detection result information for selecting the wind direction and speed model M and the like.
  • the camera 18 may be provided in the indoor unit 1b.
  • the camera 18 images the inside of the air-conditioning target space S1.
  • the object detection processing unit 30 may use an image captured by the camera 18 (hereinafter referred to as “camera image”) for the object detection processing instead of the rider image.
  • the camera 18 is composed of a stereo camera or a monocular camera.
  • the distance between the camera 18 and the object O can be measured using the camera image.
  • the position of the object O with respect to the y direction can be calculated.
  • the camera 18 is composed of a monocular camera, the distance between the camera 18 and the object O can be measured by using the result of so-called "machine learning" in addition to using the camera image. As a result, the position of the object O with respect to the y direction can be calculated.
  • the object detection processing unit 30 may use the camera image for the object detection processing in addition to the rider image. By increasing the types of images used in the object detection process, the accuracy of the object detection process can be improved.
  • the particle detection processing unit 26 uses the object detection result information to set a region corresponding to the position of a person in the air harmonization target space S1 as a region to be subject to particle detection processing (that is, a first particle detection target region A1). And may be set in the second particle detection target area A2). As a result, the density value ⁇ in the region corresponding to the position of the person concerned can be calculated.
  • the wind measurement processing unit 29 uses the object detection result information to create a region corresponding to the position of a person in the air conditioning target space S1. It may be set in the area to be measured (that is, the wind measurement target area A6). Thus, it is possible to calculate the wind direction value [Phi L, theta L and wind speed value V L in the region corresponding to the position of the person.
  • a region within a predetermined range for example, a range with a radius of 1 meter
  • a predetermined range for example, a range with a radius of 1 meter
  • the air conditioner 200b can employ various modifications similar to those described in the first and second embodiments.
  • the air blow control for particle induction may be intended only for the air blow directions ⁇ B and ⁇ B.
  • the wind measurement process may be intended only for the wind direction values ⁇ L and ⁇ L.
  • the correction control may be intended only for the ventilation directions ⁇ B and ⁇ B.
  • the air conditioner 200b uses the rider 17 or the camera 18 to calculate the position of the object O in the air conditioning target space S1 and the object detection processing unit for discriminating the object O.
  • the blower control unit 23 or the blower control unit 23a controls the blower directions ⁇ B and ⁇ B based on the calculation result and the determination result by the object detection processing unit 30.
  • the airflow AF avoiding people and furniture can be generated in the air conditioning target space S1.
  • the airflow control unit 23 or the airflow control unit 23a controls the airflow directions ⁇ B and ⁇ B to detect the particles to be detected.
  • An airflow AF that avoids the object O is generated. As a result, it is possible to prevent the particles to be detected from being inhaled by a person. In addition, it is possible to prevent the particles to be detected from adhering to the furniture.
  • the air conditioner 200b includes an object detection processing unit 30 that calculates the position of the object O in the air conditioning target space S1 and discriminates the object O by using the rider 17 or the camera 18, and is provided with the blower control unit 23 or
  • the blower control unit 23a controls the blower directions ⁇ B , ⁇ B and the blower air volume V B based on the calculation result and the determination result by the object detection processing unit 30.
  • the airflow AF avoiding people and furniture can be generated in the air conditioning target space S1.
  • the airflow control unit 23 or the airflow control unit 23a controls the airflow directions ⁇ B , ⁇ B and the airflow amount V B.
  • the particles to be detected generate an airflow AF that avoids the object O. As a result, it is possible to prevent the particles to be detected from being inhaled by a person. In addition, it is possible to prevent the particles to be detected from adhering to the furniture.
  • blower control unit 23 or the blower control unit 23a sets the region corresponding to the open window in the air conditioning target space S1 to the particle guidance target region A4. As a result, the ventilation device 300 and the air purifier 400 in the particle removal system 500b can be eliminated.
  • FIG. 29 is a block diagram showing a main part of the particle removal system including the air conditioner according to the fourth embodiment.
  • FIG. 30 is a block diagram showing a main part of the indoor unit of the air conditioner according to the fourth embodiment.
  • a particle removal system including an air conditioner according to a fourth embodiment will be described with reference to FIGS. 29 and 30.
  • FIG. 29 the same blocks as those shown in FIG. 1 are designated by the same reference numerals, and the description thereof will be omitted. Further, in FIG. 30, the same reference numerals are given to blocks similar to the blocks shown in FIG. 2, and the description thereof will be omitted.
  • the main part of the particle removal system 500c is composed of the air conditioner 200c, the ventilation device 300, and the air purifier 400.
  • the indoor unit 1c is provided with the ultraviolet irradiation device 20.
  • the ultraviolet irradiation device 20 irradiates the inside of the air conditioning target space S1 with ultraviolet rays.
  • the ultraviolet irradiation port by the ultraviolet irradiation device 20 is provided, for example, on the front surface of the indoor unit 1c.
  • the ultraviolet irradiation device 20 has a variable ultraviolet irradiation direction.
  • the ultraviolet irradiation control unit 32 acquires the second particle density distribution information output by the second particle density calculation unit 25. Based on the acquired second particle density distribution information, the ultraviolet irradiation control unit 32 uses the ultraviolet irradiation device 20 to form a region having a second density value ⁇ 2 equal to or higher than the threshold value ⁇ th2 in the air harmonization target space S1, that is, air harmony. Control of irradiating the region where the detection target particles exist in the target space S1 with ultraviolet rays (hereinafter referred to as “ultraviolet irradiation control”) is executed.
  • the ultraviolet irradiation control unit 32 sets the amount of ultraviolet rays irradiated by the ultraviolet irradiation device 20 based on the amount of energy at which the survival probability is equal to or less than a predetermined value.
  • the ultraviolet irradiation control unit 32 sets the irradiation direction of the ultraviolet rays by the ultraviolet irradiation device 20 in the direction in which the ultraviolet rays are irradiated to the region having the second density value ⁇ 2 of the threshold value ⁇ th2 or more based on the second particle density distribution information. To do.
  • the ultraviolet irradiation device 20 irradiates ultraviolet rays in the set irradiation direction at the set irradiation amount. Bacteria, viruses, molds, etc. among the particles detected by the particle detection process can be inactivated by irradiating the ultraviolet rays.
  • the main part of the control device 100c is composed of the ventilation control unit 23, the particle detection processing unit 26, the communication control unit 31, and the ultraviolet irradiation control unit 32.
  • the indoor unit 1c is required by the first wind direction plate 11, the second wind direction plate 12, the blower fan 13, the drive motor 14, the drive motor 15, the drive motor 16, the rider 17, the communication device 19, the ultraviolet irradiation device 20, and the control device 100c.
  • the part is composed.
  • the indoor unit 1c and the outdoor unit 2 form a main part of the air conditioner 200c.
  • the functions of the ventilation control unit 23, the particle detection processing unit 26, the communication control unit 31, and the ultraviolet irradiation control unit 32 may be realized by the processor 41 and the memory 42, or by a dedicated processing circuit 43. It may be realized.
  • control device 100c Next, with reference to the flowchart of FIG. 31, the operation of the control device 100c will be described focusing on the particle detection process and the ultraviolet irradiation process.
  • step ST31 the particle detection processing unit 26 executes the particle detection processing. Since the specific example of the particle detection process is as described above, the description thereof will be omitted again.
  • the particle detection processing unit 26 outputs the second particle density distribution information to the ultraviolet irradiation control unit 32.
  • step ST32 the ultraviolet irradiation control unit 32 determines whether or not the ultraviolet irradiation control needs to be executed based on the result of the particle detection process.
  • the ultraviolet irradiation control unit 32 needs to execute the ultraviolet irradiation control. Judge that there is.
  • the ventilation control unit 23 determines that the execution of the ultraviolet irradiation control is unnecessary. That is, the criterion for determining the necessity of executing the ultraviolet irradiation control may be the same as the criterion for determining the necessity of executing the blower control for particle induction.
  • step ST32 “YES” When it is determined that the execution of the ultraviolet irradiation control is necessary (step ST32 “YES”), the ultraviolet irradiation control executes the ultraviolet irradiation control in step ST33. Since the details of the ultraviolet irradiation control have already been described, the description thereof will be omitted again.
  • control device 100c may have a wind measurement processing unit 29. Further, the control device 100c may have a blast control unit 23a instead of the blast control unit 23.
  • control device 100c may have an object detection processing unit 30.
  • the ultraviolet irradiation control unit 32 may use the object detection result information for setting the ultraviolet irradiation direction. Specifically, for example, when a person is in the air conditioning target space S1, the ultraviolet irradiation control unit 32 sets the direction of irradiation of ultraviolet rays by the ultraviolet irradiation device 20 in a direction avoiding the person. As a result, it is possible to prevent the person from being irradiated with ultraviolet rays.
  • the object detection processing unit 30 when the object detection processing unit 30 is provided in the control device 100c, the following control may be executed in the control device 100c. That is, when ultraviolet rays are irradiated by the ultraviolet irradiation device 20, when there is a person in the air harmonization target space S1, the control device 100c emits a sound notifying the irradiation of ultraviolet rays or a sound prompting to leave the room, or the indoor unit 1c or Control to output to a speaker (not shown) provided on the remote controller 3 is executed. Alternatively, at this time, the control device 100c instructs the mobile information terminal (not shown) capable of communicating with the communication device 19 and possessed by the user of the air conditioner 200c to output such voice. Perform control.
  • control device 100c executes a control instructing the mobile information terminal to display an image notifying the irradiation of ultraviolet rays or an image prompting the user to leave the room. By leaving the room, it is possible to prevent the person from being irradiated with ultraviolet rays.
  • the camera 18 may be provided in the indoor unit 1c (not shown).
  • the object detection processing unit 30 may use the camera image in place of or in addition to the rider image for the object detection processing.
  • the particle detection processing unit 26 may not have the second particle density calculation unit 25.
  • the particle detection processing unit 26 may output the first particle density distribution information to the ultraviolet irradiation control unit 32.
  • the ultraviolet irradiation control unit 32 may use the first density value ⁇ 1 instead of the second density value ⁇ 2 to determine whether or not the ultraviolet irradiation control needs to be executed and to execute the ultraviolet irradiation control.
  • the air conditioner 200c can employ various modifications similar to those described in the first to third embodiments.
  • the air blow control for particle induction may be intended only for the air blow directions ⁇ B and ⁇ B.
  • the wind measurement process may be intended only for the wind direction values ⁇ L and ⁇ L.
  • the correction control may be intended only for the ventilation directions ⁇ B and ⁇ B.
  • the air conditioner 200c of the fourth embodiment irradiates the region where the detection target particles exist in the air conditioning target space S1 with ultraviolet rays based on the density value ⁇ . This makes it possible to inactivate bacteria, viruses, molds and the like.
  • the air conditioner, particle removal system and control method of the present invention can be used for removing house dust, dust, dust, bacteria, viruses, mold, PM2.5 and the like.

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  • Engineering & Computer Science (AREA)
  • Chemical & Material Sciences (AREA)
  • Combustion & Propulsion (AREA)
  • Mechanical Engineering (AREA)
  • General Engineering & Computer Science (AREA)
  • Air Conditioning Control Device (AREA)

Abstract

This air conditioner (200) is provided with: a particle detection processing unit (26) that uses a rider (17) to calculate a density value (ρ) of particles to be detected in a space (S1) to be air conditioned; and a blow control unit (23) that uses the density value (ρ) to control blow directions (ΦＢ，ΘＢ) with respect to the space (S1) to be air conditioned.

Description

空気調和機、粒子除去システム及び制御方法Air conditioner, particle removal system and control method
　本発明は、空気調和機、粒子除去システム及び制御方法に関する。 The present invention relates to an air conditioner, a particle removal system and a control method.
　従来、空気調和用の種々の機器が開発されている。より具体的には、エアコンディショナ（以下「エアコン」という。）、扇風機、送風機及びエアダクト装置などが開発されている。以下、これらの機器を総称して「空気調和機」という。また、従来、空気調和機を用いた種々の技術が開発されている。例えば、特許文献１には、複数個の送風機（１４，３０）及び１個の集塵機（４０）を用いて、室内における塵埃を回収する集塵装置が開示されている。 Conventionally, various devices for air conditioning have been developed. More specifically, air conditioners (hereinafter referred to as "air conditioners"), electric fans, blowers, air duct devices, and the like have been developed. Hereinafter, these devices are collectively referred to as "air conditioners". Further, conventionally, various techniques using an air conditioner have been developed. For example, Patent Document 1 discloses a dust collector that collects dust in a room by using a plurality of blowers (14, 30) and one dust collector (40).
特開２０１０－６０２６６号公報Japanese Unexamined Patent Publication No. 2010-60266
　特許文献１記載の集塵装置は、複数個の送風機（１４，３０）及び１個の集塵機（４０）の各々の内部にて、赤外線を用いて塵埃を検知している（例えば、特許文献１の段落［００４９］、段落［００５３］及び段落［００５８］参照。）。また、特許文献１記載の集塵装置は、超音波風向風速計を用いて、室内における風向及び風速を計測している（例えば、特許文献１の上記段落参照。）。 The dust collector described in Patent Document 1 detects dust using infrared rays inside each of a plurality of blowers (14, 30) and one dust collector (40) (for example, Patent Document 1). See paragraphs [0049], paragraphs [0053] and paragraphs [0058] of.). Further, the dust collector described in Patent Document 1 measures the wind direction and the wind speed in a room by using an ultrasonic anemometer (see, for example, the above paragraph of Patent Document 1).
　このため、特許文献１記載の集塵装置においては、室内における塵埃の分布状態を検知することができない問題があった。この結果、室内における塵埃を回収するにあたり、不要な気流が生成されることがあるという問題があった。例えば、室内における塵埃の存在しない領域を通る気流が生成されることがあるという問題があった。 For this reason, the dust collector described in Patent Document 1 has a problem that the distribution state of dust in the room cannot be detected. As a result, there is a problem that an unnecessary air flow may be generated when collecting dust in the room. For example, there is a problem that an air flow may be generated through an area where there is no dust in the room.
　本発明は、上記のような課題を解決するためになされたものであり、室内等の空間における塵埃等の粒子状物質を除去するにあたり、空間における粒子状物質の分布状態を検知することができる空気調和機を提供することを目的とする。 The present invention has been made to solve the above problems, and when removing particulate matter such as dust in a space such as a room, it is possible to detect the distribution state of the particulate matter in the space. The purpose is to provide an air conditioner.
　本発明の空気調和機は、ライダを用いて、空気調和対象空間における検知対象粒子の密度値を算出する粒子検知処理部と、密度値を用いて、空気調和対象空間に対する送風方向を制御する送風制御部と、を備えるものである。 The air conditioner of the present invention uses a rider to calculate the density value of the particles to be detected in the air-conditioning target space, and a blower that controls the ventilation direction with respect to the air-conditioning target space using the density value. It includes a control unit.
　本発明の空気調和機は、室内等の空間における塵埃等の粒子状物質を除去するにあたり、空間における粒子状物質の分布状態を検知することができる。 The air conditioner of the present invention can detect the distribution state of particulate matter in a space when removing particulate matter such as dust in a space such as a room.
実施の形態１に係る空気調和機を含む粒子除去システムの要部を示すブロック図である。It is a block diagram which shows the main part of the particle removal system including the air conditioner which concerns on Embodiment 1. FIG. 実施の形態１に係る空気調和機の室内機の要部を示すブロック図である。It is a block diagram which shows the main part of the indoor unit of the air conditioner which concerns on Embodiment 1. FIG. 距離－強度特性の例及び基準距離－強度特性の例を示す説明図である。It is explanatory drawing which shows the example of the distance-strength characteristic and the example of a reference distance-strength characteristic. 粒子検知対象空間における第１密度値の分布の例を示す説明図である。It is explanatory drawing which shows the example of the distribution of the 1st density value in the particle detection target space. 粒子検知対象空間における第２密度値の分布の例を示す説明図である。It is explanatory drawing which shows the example of the distribution of the 2nd density value in the particle detection target space. 風向風速モデルの例を示す説明図である。It is explanatory drawing which shows the example of the wind direction wind speed model. 粒子誘導用送風制御の例を示す説明図である。It is explanatory drawing which shows the example of the blast control for particle induction. 実施の形態１に係る空気調和機の室内機の制御装置のハードウェア構成を示す説明図である。It is explanatory drawing which shows the hardware composition of the control device of the indoor unit of the air conditioner which concerns on Embodiment 1. FIG. 実施の形態１に係る空気調和機の室内機の制御装置の他のハードウェア構成を示す説明図である。It is explanatory drawing which shows the other hardware configuration of the control device of the indoor unit of the air conditioner which concerns on Embodiment 1. FIG. 実施の形態１に係る空気調和機の室内機の制御装置の動作を示すフローチャートである。It is a flowchart which shows the operation of the control device of the indoor unit of the air conditioner which concerns on Embodiment 1. FIG. 実施の形態１に係る空気調和機の室内機の制御装置の動作を示すフローチャートである。It is a flowchart which shows the operation of the control device of the indoor unit of the air conditioner which concerns on Embodiment 1. FIG. 実施の形態１に係る空気調和機を含む他の粒子除去システムの要部を示すブロック図である。It is a block diagram which shows the main part of another particle removal system including the air conditioner which concerns on Embodiment 1. FIG. 粒子誘導用送風制御の他の例を示す説明図である。It is explanatory drawing which shows another example of the blast control for particle induction. 実施の形態１に係る空気調和機を含む他の粒子除去システムの要部を示すブロック図である。It is a block diagram which shows the main part of another particle removal system including the air conditioner which concerns on Embodiment 1. FIG. 粒子誘導用送風制御の他の例を示す説明図である。It is explanatory drawing which shows another example of the blast control for particle induction. 実施の形態２に係る空気調和機を含む粒子除去システムの要部を示すブロック図である。It is a block diagram which shows the main part of the particle removal system including the air conditioner which concerns on Embodiment 2. FIG. 実施の形態２に係る空気調和機の室内機の要部を示すブロック図である。It is a block diagram which shows the main part of the indoor unit of the air conditioner which concerns on Embodiment 2. FIG. 第１の風計測対象領域の例を示す説明図である。It is explanatory drawing which shows the example of the 1st wind measurement target area. 第Ｎの風計測対象領域の例を示す説明図である。It is explanatory drawing which shows the example of the 9th wind measurement target area. 実施の形態２に係る空気調和機の室内機の制御装置の動作を示すフローチャートである。It is a flowchart which shows the operation of the control device of the indoor unit of the air conditioner which concerns on Embodiment 2. 複数個の風計測対象領域の例を示す説明図である。It is explanatory drawing which shows the example of a plurality of wind measurement target areas. 実施の形態３に係る空気調和機を含む粒子除去システムの要部を示すブロック図である。It is a block diagram which shows the main part of the particle removal system including the air conditioner which concerns on Embodiment 3. 実施の形態３に係る空気調和機の室内機の要部を示すブロック図である。It is a block diagram which shows the main part of the indoor unit of the air conditioner which concerns on Embodiment 3. 粒子誘導用送風制御の他の例を示す説明図である。It is explanatory drawing which shows another example of the blast control for particle induction. 実施の形態３に係る空気調和機の室内機の制御装置の動作を示すフローチャートである。It is a flowchart which shows the operation of the control device of the indoor unit of the air conditioner which concerns on Embodiment 3. 実施の形態３に係る空気調和機を含む他の粒子除去システムの要部を示すブロック図である。FIG. 5 is a block diagram showing a main part of another particle removal system including an air conditioner according to a third embodiment. 粒子誘導用送風制御の他の例を示す説明図である。It is explanatory drawing which shows another example of the blast control for particle induction. 実施の形態３に係る他の空気調和機の室内機の要部を示すブロック図である。It is a block diagram which shows the main part of the indoor unit of another air conditioner which concerns on Embodiment 3. FIG. 実施の形態３に係る他の空気調和機の室内機の要部を示すブロック図である。It is a block diagram which shows the main part of the indoor unit of another air conditioner which concerns on Embodiment 3. FIG. 実施の形態３に係る他の空気調和機の室内機の要部を示すブロック図である。It is a block diagram which shows the main part of the indoor unit of another air conditioner which concerns on Embodiment 3. FIG. 実施の形態４に係る空気調和機を含む粒子除去システムの要部を示すブロック図である。It is a block diagram which shows the main part of the particle removal system including the air conditioner which concerns on Embodiment 4. FIG. 実施の形態４に係る空気調和機の室内機の要部を示すブロック図である。It is a block diagram which shows the main part of the indoor unit of the air conditioner which concerns on Embodiment 4. FIG. 実施の形態４に係る空気調和機の室内機の制御装置の動作を示すフローチャートである。It is a flowchart which shows the operation of the control device of the indoor unit of the air conditioner which concerns on Embodiment 4. FIG. 実施の形態４に係る他の空気調和機の室内機の要部を示すブロック図である。It is a block diagram which shows the main part of the indoor unit of another air conditioner which concerns on Embodiment 4. FIG. 実施の形態４に係る他の空気調和機の室内機の要部を示すブロック図である。It is a block diagram which shows the main part of the indoor unit of another air conditioner which concerns on Embodiment 4. FIG. 実施の形態４に係る他の空気調和機の室内機の要部を示すブロック図である。It is a block diagram which shows the main part of the indoor unit of another air conditioner which concerns on Embodiment 4. FIG.
　以下、この発明をより詳細に説明するために、この発明を実施するための形態について、添付の図面に従って説明する。 Hereinafter, in order to explain the present invention in more detail, a mode for carrying out the present invention will be described with reference to the accompanying drawings.
実施の形態１．
　図１は、実施の形態１に係る空気調和機を含む粒子除去システムの要部を示すブロック図である。図２は、実施の形態１に係る空気調和機の室内機の要部を示すブロック図である。図１及び図２を参照して、実施の形態１に係る空気調和機を含む粒子除去システムについて説明する。 Embodiment 1.
FIG. 1 is a block diagram showing a main part of a particle removal system including an air conditioner according to a first embodiment. FIG. 2 is a block diagram showing a main part of the indoor unit of the air conditioner according to the first embodiment. The particle removal system including the air conditioner according to the first embodiment will be described with reference to FIGS. 1 and 2.
　図１に示す如く、空気調和機２００、換気装置３００及び空気清浄機４００により、粒子除去システム５００の要部が構成されている。空気調和機２００は、例えば、エアコンにより構成されている。換気装置３００は、例えば、換気扇により構成されている。 As shown in FIG. 1, the main part of the particle removal system 500 is composed of the air conditioner 200, the ventilation device 300, and the air purifier 400. The air conditioner 200 is composed of, for example, an air conditioner. The ventilation device 300 is composed of, for example, a ventilation fan.
　空気調和機２００は、室内機１及び室外機２を有している。室内機１は熱交換器（不図示）を有しており、かつ、室外機２は他の熱交換器（不図示）を有しており、かつ、これらの熱交換器は冷媒管（不図示）により互いに熱的に接続されている。また、室外機２は冷媒用の圧縮機（不図示）等を有している。これらの部材の構造、配置及び動作などは公知であるため、詳細な説明は省略する。また、空気調和機２００は、リモートコントローラ（以下「リモコン」という。）３により操作されるものである。 The air conditioner 200 has an indoor unit 1 and an outdoor unit 2. The indoor unit 1 has a heat exchanger (not shown), the outdoor unit 2 has another heat exchanger (not shown), and these heat exchangers have a refrigerant pipe (not shown). (Shown) are thermally connected to each other. Further, the outdoor unit 2 has a compressor for refrigerant (not shown) and the like. Since the structure, arrangement, operation, and the like of these members are known, detailed description thereof will be omitted. Further, the air conditioner 200 is operated by a remote controller (hereinafter referred to as "remote controller") 3.
　以下、室内機１に対する左右方向を「ｘ方向」という。また、室内機１に対する前後方向を「ｙ方向」という。また、室内機１に対する上下方向を「ｚ方向」という。また、室内機１の前後方向に対する方位角方向、すなわちｙ方向に対する方位角方向を単に「方位角方向」という。また、室内機１の前後方向に対する仰俯角方向、すなわちｙ方向に対する仰俯角方向を単に「仰俯角方向」という。 Hereinafter, the left-right direction with respect to the indoor unit 1 is referred to as "x direction". Further, the front-rear direction with respect to the indoor unit 1 is referred to as a "y direction". Further, the vertical direction with respect to the indoor unit 1 is referred to as "z direction". Further, the azimuth direction of the indoor unit 1 with respect to the front-rear direction, that is, the azimuth direction with respect to the y direction is simply referred to as "azimuth direction". Further, the elevation / depression angle direction with respect to the front-rear direction of the indoor unit 1, that is, the elevation / depression angle direction with respect to the y direction is simply referred to as the "elevation / depression angle direction".
　また、空気調和機２００による空気調和の対象となる空間Ｓ１を「空気調和対象空間」という。すなわち、空気調和対象空間Ｓ１は、換気装置３００による換気の対象となる空間である。また、空気調和対象空間Ｓ１は、空気清浄機４００による空気清浄の対象となる空間である。 Further, the space S1 subject to air conditioning by the air conditioner 200 is referred to as an "air conditioning target space". That is, the air conditioning target space S1 is a space to be ventilated by the ventilation device 300. Further, the air conditioning target space S1 is a space subject to air purification by the air purifier 400.
　また、室内機１による空気調和対象空間Ｓ１に対する送風方向ΦＢ，ΘＢのうちの方位角方向に対する送風方向ΦＢを「第１送風方向」ということがある。また、仰俯角方向に対する送風方向ΘＢを「第２送風方向」ということがある。 Further, the air blowing direction Φ B with respect to the azimuth direction of the air blowing direction Φ B and Θ B with respect to the air harmonization target space S1 by the indoor unit 1 may be referred to as a “first air blowing direction”. Further, the air blowing direction Θ B with respect to the elevation / depression angle direction may be referred to as a “second air blowing direction”.
　図２に示す如く、室内機１は、方位角方向に対する取付け角度が可変な風向板（以下「第１風向板」という。）１１、仰俯角方向に対する取付け角度が可変な風向板（以下「第２風向板」という。）１２、及び空気調和対象空間Ｓ１に対する送風用のファン（以下「送風ファン」という。）１３を有している。また、室内機１は、第１風向板１１用の駆動モータ１４、第２風向板１２用の駆動モータ１５、及び送風ファン１３用の駆動モータ１６を有している。 As shown in FIG. 2, the indoor unit 1 has a wind direction plate (hereinafter referred to as “first wind direction plate”) 11 having a variable mounting angle with respect to the azimuth direction, and a wind direction plate having a variable mounting angle with respect to the elevation / depression angle direction (hereinafter referred to as “first wind direction plate”). It has (2) a wind direction plate () 12 and a fan (hereinafter referred to as a "blower fan") 13 for blowing air to the air conditioning target space S1. Further, the indoor unit 1 has a drive motor 14 for the first wind direction plate 11, a drive motor 15 for the second wind direction plate 12, and a drive motor 16 for the blower fan 13.
　送風方向制御部２１は、第１風向板１１の取付け角度を制御することにより、より具体的には駆動モータ１４におけるロータの回転位置を制御することにより、第１送風方向ΦＢを制御するものである。また、送風方向制御部２１は、第２風向板１２の取付け角度を制御することにより、より具体的には駆動モータ１５におけるロータの回転位置を制御することにより、第２送風方向ΘＢを制御するものである。 Airflow direction control unit 21, by controlling the mounting angle of the first wind direction plate 11, by controlling the rotational position of the rotor of the drive motor 14, more specifically, controls the first blowing direction [Phi B Is. Further, the ventilation direction control unit 21 controls the second ventilation direction Θ B by controlling the mounting angle of the second wind direction plate 12, and more specifically, by controlling the rotation position of the rotor in the drive motor 15. Is what you do.
　送風風量制御部２２は、送風ファン１３の回転数を制御することにより、より具体的には駆動モータ１６におけるロータの回転数を制御することにより、室内機１による空気調和対象空間Ｓ１に対する送風風量ＶＢを制御するものである。 The blast air volume control unit 22 controls the rotation speed of the blast fan 13, and more specifically, by controlling the rotation speed of the rotor in the drive motor 16, the blast air volume with respect to the air conditioning target space S1 by the indoor unit 1. It controls V B.
　空気調和機２００のユーザは、リモコン３を用いて設定温度の値などを入力する。当該入力された設定温度の値などに応じて、第１風向板１１の取付け角度、第２風向板１２の取付け角度、送風ファン１３の回転数、及び圧縮機の動作などが制御される。これらの制御により、空気調和対象空間Ｓ１内の空気調和（例えば冷房又は暖房）が実現される。 The user of the air conditioner 200 inputs a set temperature value or the like using the remote controller 3. The mounting angle of the first wind direction plate 11, the mounting angle of the second wind direction plate 12, the rotation speed of the blower fan 13, the operation of the compressor, and the like are controlled according to the input set temperature value and the like. By these controls, air conditioning (for example, cooling or heating) in the air conditioning target space S1 is realized.
　以下、送風方向制御部２１による送風方向ΦＢ，ΘＢの制御及び送風風量制御部２２による送風風量ＶＢの制御を総称して「送風制御」という。また、空気調和対象空間Ｓ１内の空気調和を実現するための送風制御を「空気調和用送風制御」という。送風方向制御部２１及び送風風量制御部２２により、送風制御部２３が構成されている。 Hereinafter, the control of the blower directions Φ B and Θ B by the blower direction control unit 21 and the control of the blower air volume V B by the blower air volume control unit 22 are collectively referred to as “blower control”. Further, the air-conditioning control for realizing the air-conditioning in the air-conditioning target space S1 is referred to as "air-conditioning air-conditioning control". The blast control unit 23 is composed of the blast direction control unit 21 and the blast volume control unit 22.
　室内機１は、ライダ１７を有している。ライダ１７は、例えば、パルス変調方式のライダ又はＣＷ（Ｃｏｎｔｉｎｕｏｕｓ　Ｗａｖｅ）方式のライダにより構成されている。各方式のライダの構造及び動作原理などは公知であるため、詳細な説明は省略する。 The indoor unit 1 has a rider 17. The rider 17 is composed of, for example, a pulse modulation type rider or a CW (Continuous Wave) type rider. Since the structure and operating principle of the rider of each method are known, detailed description thereof will be omitted.
　ライダ１７によるレーザ光Ｌの出力口ＯＰは、例えば、室内機１の前面部に設けられている。ライダ１７は、レーザ光Ｌの出力方向（以下「視線方向」という。）Ｄが可変なものである。ライダ１７は、空気調和対象空間Ｓ１にレーザ光Ｌを出力することにより、視線方向Ｄにおける、距離Ｚに対する受信信号の強度（以下「受信強度」という。）Ｐを示す特性（以下「距離－強度特性」という。）Ｐ（Ｚ）を取得するものである。受信強度Ｐは、例えば、受信信号の時間軸波形に対するＦＦＴ（Ｆａｓｔ　Ｆｏｕｒｉｅｒ　Ｔｒａｎｓｆｏｒｍ）により得られたパワースペクトルのピーク値に対応するものである。すなわち、受信強度Ｐは、ピーク周波数における受信信号の強度に対応するものである。各方式のライダによる距離－強度特性Ｐ（Ｚ）の取得方法は公知であるため、詳細な説明は省略する。 The output port OP of the laser beam L by the rider 17 is provided, for example, on the front portion of the indoor unit 1. The rider 17 has a variable output direction (hereinafter referred to as “line-of-sight direction”) D of the laser beam L. By outputting the laser beam L to the air-conditioning target space S1, the rider 17 exhibits a characteristic (hereinafter, “distance-intensity”) of the received signal with respect to the distance Z in the line-of-sight direction D (hereinafter referred to as “reception intensity”) P. "Characteristics".) P (Z) is acquired. The reception intensity P corresponds to, for example, the peak value of the power spectrum obtained by FFT (Fast Fourier Transform) with respect to the time axis waveform of the received signal. That is, the reception intensity P corresponds to the intensity of the received signal at the peak frequency. Since the method of acquiring the distance-strength characteristic P (Z) by the rider of each method is known, detailed description thereof will be omitted.
　ライダ１７は、空気調和対象空間Ｓ１内をラスタースキャン状に走査することにより、複数個の視線方向Ｄの各々における距離－強度特性Ｐ（Ｚ）を取得する。ライダ１７は、複数個の視線方向Ｄの各々における距離－強度特性Ｐ（Ｚ）を示す情報（以下「距離－強度特性情報」という。）を第１粒子密度算出部２４に出力する。なお、距離－強度特性情報は、個々の距離－強度特性Ｐ（Ｚ）に対応する視線方向Ｄを示す角度値φ，θを含むものである。φは方位角方向に対する角度値であり、θは仰俯角方向に対する角度値である。 The rider 17 acquires the distance-intensity characteristic P (Z) in each of the plurality of line-of-sight directions D by scanning the space S1 for air conditioning in a raster scan manner. The rider 17 outputs information indicating the distance-intensity characteristic P (Z) in each of the plurality of line-of-sight directions D (hereinafter referred to as “distance-intensity characteristic information”) to the first particle density calculation unit 24. The distance-intensity characteristic information includes angle values φ and θ indicating the line-of-sight direction D corresponding to each distance-intensity characteristic P (Z). φ is an angle value with respect to the azimuth direction, and θ is an angle value with respect to the elevation / depression angle direction.
　第１粒子密度算出部２４は、ライダ１７により出力された距離－強度特性情報を用いて、空気調和対象空間Ｓ１内の複数個の領域（以下「第１粒子検知対象領域」という。）Ａ１の各々における、所定の粒子状物質（以下「検知対象粒子」という。）の密度値（以下「第１密度値」という。）ρ１を算出するものである。ここで、複数個の第１粒子検知対象領域Ａ１は、空気調和対象空間Ｓ１のうちの少なくとも一部の空間（以下「粒子検知対象空間」という。）Ｓ２をｘ方向、ｙ方向及びｚ方向に所定間隔に分割してなるものである。個々の第１粒子検知対象領域Ａ１のサイズは、ライダ１７の空間分解能に応じた値（例えば各辺数センチメートル）に設定されている。粒子検知対象空間Ｓ２は、通常、空気調和対象空間Ｓ１の全体又は略全体に対応する空間に設定されている。 The first particle density calculation unit 24 uses the distance-intensity characteristic information output by the rider 17 to form a plurality of regions (hereinafter referred to as “first particle detection target regions”) A1 in the air harmonization target space S1. In each, the density value (hereinafter referred to as "first density value") ρ1 of a predetermined particulate substance (hereinafter referred to as "detection target particle") is calculated. Here, the plurality of first particle detection target regions A1 make at least a part of the air conditioning target space S1 (hereinafter referred to as “particle detection target space”) S2 in the x direction, the y direction, and the z direction. It is divided into predetermined intervals. The size of each first particle detection target region A1 is set to a value corresponding to the spatial resolution of the rider 17 (for example, several centimeters on each side). The particle detection target space S2 is usually set to a space corresponding to the entire or substantially the entire air conditioning target space S1.
　検知対象粒子は、所定値以上の粒径を有する粒子であれば、如何なる粒子を含むものであっても良い。この所定値は、例えば、レーザ光Ｌの波長に応じて定まるものである。この所定値は、例えば、２０～３０マイクロメートル（以下「μｍ」と記載する。）又は１００～２００μｍである。検知対象粒子は、例えば、ハウスダスト、塵、埃、細菌、ウィルス、カビ及び微小粒子状物質（いわゆる「ＰＭ２．５」）などを含むものである。 The detection target particle may include any particle as long as it has a particle size of a predetermined value or more. This predetermined value is determined according to, for example, the wavelength of the laser beam L. This predetermined value is, for example, 20 to 30 micrometers (hereinafter referred to as “μm”) or 100 to 200 μm. The particles to be detected include, for example, house dust, dust, dust, bacteria, viruses, molds, fine particulate matter (so-called "PM2.5") and the like.
　第１粒子密度算出部２４は、空気調和対象空間Ｓ１（より具体的には粒子検知対象空間Ｓ２）における第１密度値ρ１の分布を示す情報（以下「第１粒子密度分布情報」という。）を第２粒子密度算出部２５に出力する。 The first particle density calculation unit 24 is information indicating the distribution of the first density value ρ1 in the air harmonization target space S1 (more specifically, the particle detection target space S2) (hereinafter referred to as “first particle density distribution information”). Is output to the second particle density calculation unit 25.
　第２粒子密度算出部２５は、第１粒子密度算出部２４により出力された第１粒子密度分布情報を用いて、第１粒子密度算出部２４により算出された第１密度値ρ１を空間的に平均化するものである。より具体的には、第２粒子密度算出部２５は、当該算出された第１密度値ρ１をｘ方向、ｙ方向及びｚ方向に対する所定の距離範囲毎に平均化するものである。個々の距離範囲の幅は、例えば、１０センチメートル以上かつ１メートル以下の値に設定されている。なお、第２粒子密度算出部２５は、移動平均を求めるものであっても良い。 The second particle density calculation unit 25 spatially obtains the first density value ρ1 calculated by the first particle density calculation unit 24 by using the first particle density distribution information output by the first particle density calculation unit 24. It is to average. More specifically, the second particle density calculation unit 25 averages the calculated first density value ρ1 for each predetermined distance range with respect to the x direction, the y direction, and the z direction. The width of each distance range is set to a value of, for example, 10 centimeters or more and 1 meter or less. The second particle density calculation unit 25 may be used to obtain a moving average.
　これにより、第２粒子密度算出部２５は、空気調和対象空間Ｓ１（より具体的には粒子検知対象空間Ｓ２）内の複数個の領域（以下「第２粒子検知対象領域」という。）Ａ２の各々における、検知対象粒子の密度値（以下「第２密度値」という。）ρ２を算出するものである。すなわち、個々の第２粒子検知対象領域Ａ２は、複数個の第１粒子検知対象領域Ａ１のうちの対応する２個以上の第１粒子検知対象領域Ａ１を空間的にマージしてなるものである。したがって、個々の第２粒子検知対象領域Ａ２のサイズは、個々の第１粒子検知対象領域Ａ１のサイズに比して大きい。他方、第２粒子検知対象領域Ａ２の個数は、第１粒子検知対象領域Ａ１の個数に比して少ない。 As a result, the second particle density calculation unit 25 is a plurality of regions (hereinafter, referred to as “second particle detection target region”) A2 in the air conditioning target space S1 (more specifically, the particle detection target space S2). In each case, the density value (hereinafter referred to as "second density value") ρ2 of the detection target particle is calculated. That is, each second particle detection target region A2 is formed by spatially merging two or more corresponding first particle detection target regions A1 among the plurality of first particle detection target regions A1. .. Therefore, the size of each second particle detection target region A2 is larger than the size of each first particle detection target region A1. On the other hand, the number of the second particle detection target region A2 is smaller than the number of the first particle detection target region A1.
　第２粒子密度算出部２５は、空気調和対象空間Ｓ１（より具体的には粒子検知対象空間Ｓ２）における第２密度値ρ２の分布を示す情報（以下「第２粒子密度分布情報」という。）を送風制御部２３に出力する。 The second particle density calculation unit 25 is information indicating the distribution of the second density value ρ2 in the air harmonization target space S1 (more specifically, the particle detection target space S2) (hereinafter referred to as “second particle density distribution information”). Is output to the ventilation control unit 23.
　以下、第１密度値ρ１及び第２密度値ρ２を総称して単に「密度値」ということがある。また、この密度値に「ρ」の符号を付すことがある。 Hereinafter, the first density value ρ1 and the second density value ρ2 may be collectively referred to simply as "density value". In addition, this density value may be labeled with "ρ".
　また、第１粒子密度算出部２４が第１密度値ρ１を算出する処理及び第２粒子密度算出部２５が第２密度値ρ２を算出する処理を総称して「粒子検知処理」という。すなわち、粒子検知処理は、空気調和対象空間Ｓ１（より具体的には粒子検知対象空間Ｓ２）内の検知対象粒子を検知する処理である。第１粒子密度算出部２４及び第２粒子密度算出部２５により、粒子検知処理部２６が構成されている。 Further, the process in which the first particle density calculation unit 24 calculates the first density value ρ1 and the process in which the second particle density calculation unit 25 calculates the second density value ρ2 are collectively referred to as "particle detection process". That is, the particle detection process is a process of detecting the particles to be detected in the air conditioning target space S1 (more specifically, the particle detection target space S2). The particle detection processing unit 26 is composed of the first particle density calculation unit 24 and the second particle density calculation unit 25.
　ここで、図３～図５を参照して、距離－強度特性Ｐ（Ｚ）の具体例、距離－強度特性Ｐ（Ｚ）に対する比較対象となる距離－強度特性（以下「基準距離－強度特性」という。）Ｐｒｅｆ（Ｚ）の具体例、第１粒子密度分布情報が示す第１密度値ρ１の分布の具体例、及び第２粒子密度分布情報が示す第２密度値ρ２の具体例について説明する。併せて、第１粒子密度算出部２４による第１密度値ρ１の算出方法の具体例について説明する。 Here, with reference to FIGS. 3 to 5, a specific example of the distance-intensity characteristic P (Z), the distance-intensity characteristic to be compared with the distance-intensity characteristic P (Z) (hereinafter, “reference distance-intensity characteristic”). A specific example of Pref (Z), a specific example of the distribution of the first density value ρ1 indicated by the first particle density distribution information, and a specific example of the second density value ρ2 indicated by the second particle density distribution information will be described. To do. At the same time, a specific example of a method of calculating the first density value ρ1 by the first particle density calculation unit 24 will be described.
　以下の参考文献１に記載されているように、ミー散乱の散乱強度は、後方散乱係数に比例する。後方散乱係数は、空気中の粒子の体積密度に応じた値となる。 As described in Reference 1 below, the scattering intensity of Mie scattering is proportional to the backscattering coefficient. The backscattering coefficient is a value corresponding to the volume density of particles in the air.
［参考文献１］
Troy E. Cowan, "Healthcare acquired infection (HAIs): a deadly problem that is preventable: UV can help, What's holding it back?," Proceedings of SPIE, Vol. 10479, 104791A, 2018. [Reference 1]
Troy E. Cowan, "Healthcare acquired infection (HAIs): a deadly problem that is preventable: UV can help, What's holding it back ?," Proceedings of SPIE, Vol. 10479, 104791A, 2018.
　そこで、第１粒子密度算出部２４には、基準距離－強度特性Ｐｒｅｆ（Ｚ）を示す情報が予め記憶されている。基準距離－強度特性Ｐｒｅｆ（Ｚ）は、空気調和対象空間Ｓ１内の各地点における密度値ρが所定の閾値ρｔｈ１以下であるときの、個々の視線方向Ｄにおける距離－強度特性を示している。距離－強度特性Ｐ（Ｚ）における受信強度Ｐが基準距離－強度特性Ｐｒｅｆ（Ｚ）における受信強度（以下「基準受信強度」という。）Ｐｒｅｆよりも大きい場合、対応する地点における密度値ρが閾値ρｔｈ１よりも大きい状態であるといえる。他方、受信強度Ｐが基準受信強度Ｐｒｅｆ以下である場合、対応する地点における密度値ρが閾値ρｔｈ１以下の状態であるといえる。 Therefore, the information indicating the reference distance-intensity characteristic Pref (Z) is stored in advance in the first particle density calculation unit 24. The reference distance-intensity characteristic Pref (Z) indicates the distance-intensity characteristic in each line-of-sight direction D when the density value ρ at each point in the air harmonization target space S1 is equal to or less than a predetermined threshold value ρth1. When the reception intensity P at the distance-intensity characteristic P (Z) is larger than the reception intensity at the reference distance-intensity characteristic Def (Z) (hereinafter referred to as "reference reception intensity"), the density value ρ at the corresponding point is the threshold value. It can be said that the state is larger than ρth1. On the other hand, when the reception intensity P is equal to or less than the reference reception intensity Pref, it can be said that the density value ρ at the corresponding point is the threshold value ρth1 or less.
　例えば、検知対象粒子がＰＭ２．５である場合、閾値ρｔｈ１は、２５マイクログラム毎立方メートル（以下「μｇ／ｍ３」と記載する。）に設定されている。これは、ＷＨＯ（Ｗｏｒｌｄ　Ｈｅａｌｔｈ　Ｏｒｇａｎｉｚａｔｉｏｎ）の空気質ガイドラインにおけるＰＭ２．５の暴露限界に基づく値である。 For example, when the particle to be detected is PM2.5, the threshold value ρth1 is set to 25 micrograms per cubic meter (hereinafter referred to as “μg / m 3 ”). This is a value based on the exposure limit of PM2.5 in the air quality guideline of WHO (World Health Organization).
　図３は、距離－強度特性Ｐ（Ｚ）の例、及び基準距離－強度特性Ｐｒｅｆ（Ｚ）の例を示している。図中、ｉはレンジビン番号を示しており、Ｂ（ｉ）はレンジビンを示しており、Ｚ（ｉ）は各レンジビンに対応する距離値を示している。以下、各レンジビンＢ（ｉ）に対応する受信強度Ｐに「Ｐ（ｉ）」の符号を用いることがあり、各レンジビンＢ（ｉ）に対応する基準受信強度Ｐｒｅｆに「Ｐｒｅｆ（ｉ）」の符号を用いることがあり、各レンジビンＢ（ｉ）に対応する密度値ρに「ρ（ｉ）」の符号を用いることがある。 FIG. 3 shows an example of the distance-intensity characteristic P (Z) and an example of the reference distance-intensity characteristic Pref (Z). In the figure, i indicates a range bin number, B (i) indicates a range bin, and Z (i) indicates a distance value corresponding to each range bin. Hereinafter, the reference numeral “P (i)” may be used for the reception intensity P corresponding to each range bin B (i), and the reference reception intensity Pref corresponding to each range bin B (i) is referred to as “Pref (i)”. A code may be used, and a code of “ρ (i)” may be used for the density value ρ corresponding to each range bin B (i).
　図３に示す例において、レンジビンＢ（１）～Ｂ（４）における受信強度Ｐ（１）～Ｐ（４）は、対応する基準受信強度Ｐｒｅｆ（１）～Ｐｒｅｆ（４）と同等である。したがって、第１粒子密度算出部２４は、レンジビンＢ（１）～Ｂ（４）に対応する地点における密度値ρ（１）～ρ（４）が、いずれも閾値ρｔｈ１以下であると判定する。他方、レンジビンＢ（５）～Ｂ（１０）における受信強度Ｐ（５）～Ｐ（１０）は、対応する基準受信強度Ｐｒｅｆ（５）～Ｐｒｅｆ（１０）よりも大きい。したがって、第１粒子密度算出部２４は、レンジビンＢ（５）～Ｂ（１０）に対応する地点における密度値ρ（５）～ρ（１０）が、いずれも閾値ρｔｈ１よりも大きいと判定する。 In the example shown in FIG. 3, the reception intensities P (1) to P (4) in the range bins B (1) to B (4) are equivalent to the corresponding reference reception intensities Pref (1) to Pref (4). Therefore, the first particle density calculation unit 24 determines that the density values ρ (1) to ρ (4) at the points corresponding to the range bins B (1) to B (4) are all equal to or less than the threshold value ρth1. On the other hand, the reception intensities P (5) to P (10) in the range bins B (5) to B (10) are larger than the corresponding reference reception intensities Pref (5) to Pref (10). Therefore, the first particle density calculation unit 24 determines that the density values ρ (5) to ρ (10) at the points corresponding to the range bins B (5) to B (10) are all larger than the threshold value ρth1.
　第１粒子密度算出部２４は、受信強度Ｐ（５）の絶対値｜Ｐ（５）｜に基づき、レンジビンＢ（５）に対応する地点における密度値ρ（５）を算出する。または、第１粒子密度算出部２４は、基準受信強度Ｐｒｅｆ（５）に対する受信強度Ｐ（５）の比率Ｒ（５）に基づき、レンジビンＢ（５）に対応する地点における密度値ρ（５）を算出する。 The first particle density calculation unit 24 calculates the density value ρ (5) at the point corresponding to the range bin B (5) based on the absolute value | P (5) | of the reception intensity P (5). Alternatively, the first particle density calculation unit 24 determines the density value ρ (5) at the point corresponding to the range bin B (5) based on the ratio R (5) of the reception intensity P (5) to the reference reception intensity Ref (5). Is calculated.
　これと同様に、第１粒子密度算出部２４は、絶対値｜Ｐ（６）｜～｜Ｐ（１０）｜又は比率Ｒ（６）～Ｒ（１０）に基づき、レンジビンＢ（６）～Ｂ（１０）に対応する地点における密度値ρ（６）～ρ（１０）をそれぞれ算出する。 Similarly, the first particle density calculation unit 24 is based on the absolute value | P (6) | to | P (10) | or the ratios R (6) to R (10), and the range bins B (6) to B. The density values ρ (6) to ρ (10) at the points corresponding to (10) are calculated respectively.
　ここで、個々のレンジビンＢ（ｉ）に対応する地点の空気調和対象空間Ｓ１におけるｘ座標値は、以下の式（１）により表される。また、当該地点の空気調和対象空間Ｓ１におけるｙ座標値は、以下の式（２）により表される。また、当該地点の空気調和対象空間Ｓ１におけるｚ座標値は、以下の式（３）により表される。 Here, the x-coordinate value in the air-conditioning target space S1 of the point corresponding to each range bin B (i) is expressed by the following equation (1). Further, the y coordinate value in the air conditioning target space S1 at the relevant point is expressed by the following equation (2). Further, the z coordinate value in the air conditioning target space S1 at the relevant point is expressed by the following equation (3).
　ｘ＝Ｚ（ｉ）×ｓｉｎφ　　　　　　　（１）
　ｙ＝Ｚ（ｉ）×ｓｉｎθ×ｃｏｓφ　　（２）
　ｚ＝Ｚ（ｉ）×ｃｏｓφ×ｃｏｓθ　　（３） x = Z (i) × sinφ (1)
y = Z (i) × sinθ × cosφ (2)
z = Z (i) × cosφ × cosθ (3)
　第１粒子密度算出部２４は、上記式（１）～上記式（３）に基づき、個々のレンジビンＢ（ｉ）に対応する地点が、複数個の第１粒子検知対象領域Ａ１のうちのいずれの第１粒子検知対象領域Ａ１に対応する地点であるのかを判定する。第１粒子密度算出部２４は、当該判定の結果に基づき、個々の地点における密度値ρ（ｉ）を、対応する第１粒子検知対象領域Ａ１における第１密度値ρ１に設定する。 In the first particle density calculation unit 24, based on the above formulas (1) to (3), the point corresponding to each range bin B (i) is any of the plurality of first particle detection target regions A1. It is determined whether the point corresponds to the first particle detection target region A1 of the above. The first particle density calculation unit 24 sets the density value ρ (i) at each point to the first density value ρ1 in the corresponding first particle detection target region A1 based on the result of the determination.
　上記のとおり、ライダ１７は、空気調和対象空間Ｓ１内をラスタースキャン状に走査する。第１粒子密度算出部２４は、複数個の視線方向Ｄの各々について、個々のレンジビンＢ（ｉ）における密度値ρ（ｉ）を算出する。そして、第１粒子密度算出部２４は、これらの密度値ρ（ｉ）の各々を、対応する第１粒子検知対象領域Ａ１における第１密度値ρ１に設定する。 As described above, the rider 17 scans the air conditioning target space S1 in a raster scan manner. The first particle density calculation unit 24 calculates the density value ρ (i) in each range bin B (i) for each of the plurality of line-of-sight directions D. Then, the first particle density calculation unit 24 sets each of these density values ρ (i) to the first density value ρ1 in the corresponding first particle detection target region A1.
　これにより、図４に示す如く、複数個の第１粒子検知対象領域Ａ１の各々における第１密度値ρ１が算出される。図中、個々の丸印は、対応する第１粒子検知対象領域Ａ１における第１密度値ρ１を示している。すなわち、当該丸印の色が濃いほど、対応する第１粒子検知対象領域Ａ１における第１密度値ρ１が大きいことを示している。第１粒子密度算出部２４は、粒子検知対象空間Ｓ２における第１密度値ρ１の分布を示す情報、すなわち第１粒子密度分布情報を第２粒子密度算出部２５に出力する。 As a result, as shown in FIG. 4, the first density value ρ1 in each of the plurality of first particle detection target regions A1 is calculated. In the figure, individual circles indicate the first density value ρ1 in the corresponding first particle detection target region A1. That is, the darker the color of the circle, the larger the first density value ρ1 in the corresponding first particle detection target region A1. The first particle density calculation unit 24 outputs information indicating the distribution of the first density value ρ1 in the particle detection target space S2, that is, the first particle density distribution information to the second particle density calculation unit 25.
　次いで、第２粒子密度算出部２５は、第１粒子密度算出部２４により出力された第１粒子密度分布情報を用いて、第１粒子密度算出部２４により算出された第１密度値ρ１を空間的に平均化する。これにより、第２粒子密度算出部２５は、複数個の第２粒子検知対象領域Ａ２の各々における第２密度値ρ２を算出する。上記のとおり、個々の第２粒子検知対象領域Ａ２は、複数個の第１粒子検知対象領域Ａ１のうちの対応する２個以上の第１粒子検知対象領域Ａ１を空間的にマージしてなるものである。 Next, the second particle density calculation unit 25 uses the first particle density distribution information output by the first particle density calculation unit 24 to space the first density value ρ1 calculated by the first particle density calculation unit 24. Average. As a result, the second particle density calculation unit 25 calculates the second density value ρ2 in each of the plurality of second particle detection target regions A2. As described above, the individual second particle detection target region A2 is formed by spatially merging two or more corresponding first particle detection target regions A1 among the plurality of first particle detection target regions A1. Is.
　図５は、１２個の第２粒子検知対象領域Ａ２が設定されている場合における、当該１２個の第２粒子検知対象領域Ａ２の各々における第２密度値ρ２の例を示している。図中、個々の球体は、対応する第２粒子検知対象領域Ａ２における第２密度値ρ２を示している。すなわち、当該球体の色が濃いほど、対応する第２粒子検知対象領域Ａ２における第２密度値ρ２が大きいことを示している。 FIG. 5 shows an example of the second density value ρ2 in each of the 12 second particle detection target regions A2 when the 12 second particle detection target regions A2 are set. In the figure, each sphere shows a second density value ρ2 in the corresponding second particle detection target region A2. That is, the darker the color of the sphere, the larger the second density value ρ2 in the corresponding second particle detection target region A2.
　室内機１は、通信装置１９を有している。通信装置１９は、例えば、無線通信用の送信機及び受信機により構成されている。通信装置１９は、換気装置３００及び空気清浄機４００の各々と通信自在である。 The indoor unit 1 has a communication device 19. The communication device 19 is composed of, for example, a transmitter and a receiver for wireless communication. The communication device 19 can communicate with each of the ventilation device 300 and the air purifier 400.
　通信制御部３１は、通信装置１９を用いて、室内機１と換気装置３００間の通信により、空気調和対象空間Ｓ１における換気装置３００の設置位置を示す情報を取得するものである。また、通信制御部３１は、通信装置１９を用いて、室内機１と空気清浄機４００間の通信により、空気調和対象空間Ｓ１における空気清浄機４００の設置位置を示す情報を取得するものである。以下、これらの情報を総称して「設置位置情報」という。 The communication control unit 31 uses the communication device 19 to acquire information indicating the installation position of the ventilation device 300 in the air conditioning target space S1 by communication between the indoor unit 1 and the ventilation device 300. Further, the communication control unit 31 uses the communication device 19 to acquire information indicating the installation position of the air purifier 400 in the air conditioning target space S1 by communication between the indoor unit 1 and the air purifier 400. .. Hereinafter, this information is collectively referred to as "installation position information".
　通信制御部３１は、通信装置１９を用いて、室内機１と換気装置３００間の通信により、換気装置３００の作動開始を換気装置３００に指示する制御を実行するものである。また、通信制御部３１は、通信装置１９を用いて、室内機１と空気清浄機４００間の通信により、空気清浄機４００の作動開始を空気清浄機４００に指示する制御を実行するものである。以下、これらの制御を総称して「作動開始指示制御」という。 The communication control unit 31 uses the communication device 19 to execute control for instructing the ventilation device 300 to start the operation of the ventilation device 300 by communication between the indoor unit 1 and the ventilation device 300. Further, the communication control unit 31 uses the communication device 19 to execute control for instructing the air purifier 400 to start the operation of the air purifier 400 by communicating between the indoor unit 1 and the air purifier 400. .. Hereinafter, these controls are collectively referred to as "operation start instruction control".
　通信制御部３１は、通信装置１９を用いて、室内機１と換気装置３００間の通信により、換気装置３００の作動停止を換気装置３００に指示する制御を実行するものである。また、通信制御部３１は、通信装置１９を用いて、室内機１と空気清浄機４００間の通信により、空気清浄機４００の作動停止を空気清浄機４００に指示する制御を実行するものである。以下、これらの制御を総称して「作動停止指示制御」という。 The communication control unit 31 uses the communication device 19 to execute control for instructing the ventilation device 300 to stop the operation of the ventilation device 300 by communication between the indoor unit 1 and the ventilation device 300. Further, the communication control unit 31 uses the communication device 19 to execute control for instructing the air purifier 400 to stop the operation of the air purifier 400 by communication between the indoor unit 1 and the air purifier 400. .. Hereinafter, these controls are collectively referred to as "operation stop instruction control".
　送風制御部２３は、第２粒子密度算出部２５により出力された第２粒子密度分布情報を用いて、空気調和対象空間Ｓ１内の検知対象粒子を所定の領域（以下「粒子誘導対象領域」という。）Ａ４に誘導するための送風制御（以下「粒子誘導用送風制御」という。）を実行する。以下、図６及び図７を参照して、粒子誘導用送風制御の具体例について説明する。 The blast control unit 23 uses the second particle density distribution information output by the second particle density calculation unit 25 to set the detection target particles in the air conditioning target space S1 into a predetermined region (hereinafter referred to as “particle guidance target region””. ) Execute the ventilation control for guiding to A4 (hereinafter referred to as "particle induction blowing control"). Hereinafter, a specific example of blower control for particle induction will be described with reference to FIGS. 6 and 7.
　まず、送風制御部２３は、個々の第２粒子検知対象領域Ａ２における第２密度値ρ２を所定の閾値ρｔｈ２と比較する。これにより、送風制御部２３は、粒子誘導用送風制御の実行要否を判定する。 First, the ventilation control unit 23 compares the second density value ρ2 in each second particle detection target region A2 with the predetermined threshold value ρth2. As a result, the blower control unit 23 determines whether or not the particle induction blower control needs to be executed.
　例えば、閾値ρｔｈ２以上の第２密度値ρ２を有する第２粒子検知対象領域Ａ２の個数が所定個（例えば１個）以上である場合、送風制御部２３は、粒子誘導用送風制御の実行が要であると判定する。他方、閾値ρｔｈ２以上の第２密度値ρ２を有する第２粒子検知対象領域Ａ２の個数が所定個未満である場合、送風制御部２３は、粒子誘導用送風制御の実行が不要であると判定する。閾値ρｔｈ２は、検知対象粒子が人体に与える影響などを考慮して設定されたものである。閾値ρｔｈ２は、閾値ρｔｈ１と同等の値に設定されたものであっても良い。 For example, when the number of the second particle detection target regions A2 having the threshold value ρth2 or more and the second density value ρ2 is a predetermined number (for example, one) or more, the blower control unit 23 needs to execute the blower control for particle guidance. Is determined to be. On the other hand, when the number of the second particle detection target regions A2 having the threshold value ρth2 or more and the second density value ρ2 is less than a predetermined number, the blower control unit 23 determines that the execution of the blower control for particle induction is unnecessary. .. The threshold value ρth2 is set in consideration of the influence of the detection target particles on the human body. The threshold value ρth2 may be set to a value equivalent to the threshold value ρth1.
　粒子誘導用送風制御の実行が要であると判定された場合、通信制御部３１は、設置位置情報を取得するとともに、作動開始指示制御を実行する。また、送風制御部２３は、以下のように粒子誘導用送風制御を開始する。 When it is determined that the execution of the air blow control for particle guidance is necessary, the communication control unit 31 acquires the installation position information and executes the operation start instruction control. Further, the blast control unit 23 starts the blast control for particle induction as follows.
　すなわち、送風制御部２３には、空気調和対象空間Ｓ１内の複数個の領域（以下「単位領域」という。）Ａ５の各々における、方位角方向に対する風向値（以下「第１風向値」ということがある。）ΦＭ、仰俯角方向に対する風向値（以下「第２風向値」ということがある。）ΘＭ、及び風速値ＶＭのモデル（以下「風向風速モデル」という。）Ｍと、この風向風速モデルＭを実現するための送風方向ΦＢ，ΘＢ及び送風風量ＶＢとの対応関係を示すテーブル（以下「風向風速モデルテーブル」という。）Ｔが予め記憶されている。より具体的には、送風制御部２３には、複数個の風向風速モデルＭに対応する複数個の風向風速モデルテーブルＴが予め記憶されている。複数個の単位領域Ａ５は、空気調和対象空間Ｓ１をｘ方向、ｙ方向及びｚ方向に所定間隔に分割してなるものである。 That is, the blast control unit 23 has a wind direction value (hereinafter referred to as "first wind direction value") with respect to the azimuth direction in each of a plurality of regions (hereinafter referred to as "unit regions") A5 in the air conditioning target space S1. is.) [Phi M, elevation wind direction value for the depression angle direction (hereinafter sometimes referred to as "second wind direction value".) theta M, and the wind speed V M model (hereinafter referred to as "wind model".) and M, A table (hereinafter referred to as "wind direction and wind speed model table") T showing the correspondence between the air blowing directions Φ B and Θ B and the air blowing air volume V B for realizing this wind direction and wind speed model M is stored in advance. More specifically, the blower control unit 23 stores in advance a plurality of wind direction and wind speed model tables T corresponding to the plurality of wind direction and wind speed models M. The plurality of unit regions A5 are formed by dividing the air conditioning target space S1 into predetermined intervals in the x direction, the y direction, and the z direction.
　図６は、複数個の風向風速モデルＭのうちの１個の風向風速モデルＭにおける、所定のｘ座標値に対応する部分の例を示している。図中、複数個の白抜きの矢印の各々は、対応する単位領域Ａ５における風ベクトルＤＭを示している。すなわち、風ベクトルＤＭは、風向値ΦＭ，ΘＭに対応する向きを有し、かつ、風速値ＶＭに対応する大きさを有するものである。また、線状の矢印は、当該１個の風向風速モデルＭに対応する送風方向ΦＢ，ΘＢ及び送風風量ＶＢによる送風制御を送風制御部２３が実行した場合における、空気調和対象空間Ｓ１内に発生する気流ＡＦの例を示している。 FIG. 6 shows an example of a portion corresponding to a predetermined x-coordinate value in one wind direction wind speed model M among a plurality of wind direction wind speed models M. In the figure, each arrow of a plurality of white shows a wind vector D M in the corresponding unit region A5. In other words, wind vector D M has an orientation which corresponds to the wind direction value [Phi M, theta M, and those having a size corresponding to the wind speed value V M. Further, the linear arrow indicates the air conditioning target space S1 when the blower control unit 23 executes the blower control by the blower directions Φ B , Θ B and the blower air volume V B corresponding to the one wind direction wind speed model M. An example of the airflow AF generated inside is shown.
　図７に示す如く、送風制御部２３は、通信制御部３１により取得された設置位置情報を用いて、換気装置３００の設置位置に対応する領域（図中Ａ４＿１）を粒子誘導対象領域Ａ４に設定するとともに、空気清浄機４００の設置位置に対応する領域（図中Ａ４＿２）を粒子誘導対象領域Ａ４に設定する。送風制御部２３は、複数個の風向風速モデルＭのうち、検知対象粒子（図中ＰＭ）を粒子誘導対象領域Ａ４＿１，Ａ４＿２に誘導する気流ＡＦ＿１，ＡＦ＿２が発生する風向風速モデルＭを選択する。送風制御部２３は、風向風速モデルテーブルＴを用いて、当該選択された風向風速モデルＭに対応する送風方向ΦＢ，ΘＢ及び送風風量ＶＢによる送風制御を実行する。 As shown in FIG. 7, the ventilation control unit 23 uses the installation position information acquired by the communication control unit 31 to set a region (A4_1 in the figure) corresponding to the installation position of the ventilation device 300 in the particle guidance target region A4. At the same time, the region (A4_2 in the figure) corresponding to the installation position of the air purifier 400 is set as the particle induction target region A4. The blow control unit 23 selects the wind direction / wind speed model M in which the airflows AF_1 and AF_2 that guide the particles to be detected (PM in the figure) to the particle guidance target regions A4_1 and A4_2 are generated from the plurality of wind direction / wind speed models M. The blast control unit 23 uses the wind direction and speed model table T to execute blast control according to the blast directions Φ B , Θ B and the blast volume V B corresponding to the selected wind direction and speed model M.
　これにより、検知対象粒子（図中ＰＭ）が粒子誘導対象領域Ａ４＿１，Ａ４＿２に誘導される。粒子誘導対象領域Ａ４＿１に誘導された検知対象粒子は、作動中の換気装置３００により空気調和対象空間Ｓ１外に排出される。粒子誘導対象領域Ａ４＿２に誘導された検知対象粒子は、作動中の空気清浄機４００により除去される。 As a result, the particles to be detected (PM in the figure) are guided to the particle induction target regions A4_1 and A4_2. The detection target particles guided to the particle guidance target region A4-1 are discharged to the outside of the air conditioning target space S1 by the operating ventilation device 300. The particles to be detected guided to the particle guidance target region A4-2 are removed by the operating air purifier 400.
　粒子誘導用送風制御が開始された後、所定の時間間隔にて、粒子検知処理部２６が粒子検知処理を実行して、送風制御部２３が粒子誘導用送風制御の実行要否を判定する。粒子誘導用送風制御の実行が要であると判定された場合、送風制御部２３が粒子誘導用送風制御を継続する。他方、粒子誘導用送風制御の実行が不要であると判定された場合、送風制御部２３が粒子誘導用送風制御を終了して、通信制御部３１が作動停止指示制御を実行する。 After the particle guiding air blow control is started, the particle detection processing unit 26 executes the particle detection process at a predetermined time interval, and the air blow control unit 23 determines whether or not the particle guidance air blow control needs to be executed. When it is determined that the execution of the particle guiding blower control is necessary, the blower control unit 23 continues the particle guidance blower control. On the other hand, when it is determined that the execution of the particle guiding air blowing control is unnecessary, the air blowing control unit 23 ends the particle guiding air blowing control, and the communication control unit 31 executes the operation stop instruction control.
　送風制御部２３、粒子検知処理部２６及び通信制御部３１により、制御装置１００の要部が構成されている。第１風向板１１、第２風向板１２、送風ファン１３、駆動モータ１４、駆動モータ１５、駆動モータ１６、ライダ１７、通信装置１９及び制御装置１００により、室内機１の要部が構成されている。室内機１及び室外機２により、空気調和機２００の要部が構成されている。 The main part of the control device 100 is composed of the blower control unit 23, the particle detection processing unit 26, and the communication control unit 31. The main part of the indoor unit 1 is composed of the first wind direction plate 11, the second wind direction plate 12, the blower fan 13, the drive motor 14, the drive motor 15, the drive motor 16, the rider 17, the communication device 19, and the control device 100. There is. The indoor unit 1 and the outdoor unit 2 form a main part of the air conditioner 200.
　次に、図８を参照して、制御装置１００の要部のハードウェア構成について説明する。 Next, the hardware configuration of the main part of the control device 100 will be described with reference to FIG.
　図８Ａに示す如く、制御装置１００は、プロセッサ４１及びメモリ４２を有している。メモリ４２には、送風制御部２３、粒子検知処理部２６及び通信制御部３１の機能を実現するためのプログラムが記憶されている。当該記憶されているプログラムをプロセッサ４１が読み出して実行することにより、送風制御部２３、粒子検知処理部２６及び通信制御部３１の機能が実現される。 As shown in FIG. 8A, the control device 100 has a processor 41 and a memory 42. The memory 42 stores a program for realizing the functions of the ventilation control unit 23, the particle detection processing unit 26, and the communication control unit 31. When the processor 41 reads out and executes the stored program, the functions of the ventilation control unit 23, the particle detection processing unit 26, and the communication control unit 31 are realized.
　または、図８Ｂに示す如く、制御装置１００は、処理回路４３を有している。この場合、送風制御部２３、粒子検知処理部２６及び通信制御部３１の機能が専用の処理回路４３により実現される。 Alternatively, as shown in FIG. 8B, the control device 100 has a processing circuit 43. In this case, the functions of the ventilation control unit 23, the particle detection processing unit 26, and the communication control unit 31 are realized by the dedicated processing circuit 43.
　または、制御装置１００は、プロセッサ４１、メモリ４２及び処理回路４３を有している（不図示）。この場合、送風制御部２３、粒子検知処理部２６及び通信制御部３１の機能のうちの一部の機能がプロセッサ４１及びメモリ４２により実現されるとともに、残余の機能が専用の処理回路４３により実現される。 Alternatively, the control device 100 has a processor 41, a memory 42, and a processing circuit 43 (not shown). In this case, some of the functions of the blower control unit 23, the particle detection processing unit 26, and the communication control unit 31 are realized by the processor 41 and the memory 42, and the remaining functions are realized by the dedicated processing circuit 43. Will be done.
　プロセッサ４１は、１個又は複数個のプロセッサにより構成されている。個々のプロセッサは、例えば、ＣＰＵ（Ｃｅｎｔｒａｌ　Ｐｒｏｃｅｓｓｉｎｇ　Ｕｎｉｔ）、ＧＰＵ（Ｇｒａｐｈｉｃｓ　Ｐｒｏｃｅｓｓｉｎｇ　Ｕｎｉｔ）、マイクロプロセッサ、マイクロコントローラ又はＤＳＰ（Ｄｉｇｉｔａｌ　Ｓｉｇｎａｌ　Ｐｒｏｃｅｓｓｏｒ）を用いたものである。 The processor 41 is composed of one or a plurality of processors. As the individual processor, for example, a CPU (Central Processing Unit), a GPU (Graphics Processing Unit), a microprocessor, a microcontroller, or a DSP (Digital Signal Processor) is used.
　メモリ４２は、１個又は複数個の不揮発性メモリにより構成されている。または、メモリ４２は、１個又は複数個の不揮発性メモリ及び１個又は複数個の揮発性メモリにより構成されている。個々の揮発性メモリは、例えば、ＲＡＭ（Ｒａｎｄｏｍ　Ａｃｃｅｓｓ　Ｍｅｍｏｒｙ）を用いたものである。個々の不揮発性メモリは、例えば、ＲＯＭ（Ｒｅａｄ　Ｏｎｌｙ　Ｍｅｍｏｒｙ）、フラッシュメモリ、ＥＰＲＯＭ（Ｅｒａｓａｂｌｅ　Ｐｒｏｇｒａｍｍａｂｌｅ　Ｒｅａｄ　Ｏｎｌｙ　Ｍｅｍｏｒｙ）、ＥＥＰＲＯＭ（Ｅｌｅｃｔｒｉｃａｌｌｙ　Ｅｒａｓａｂｌｅ　Ｐｒｏｇｒａｍｍａｂｌｅ　Ｒｅａｄ－Ｏｎｌｙ　Ｍｅｍｏｒｙ）、ＳＳＤ（Ｓｏｌｉｄ　Ｓｔａｔｅ　Ｄｒｉｖｅ）又はＨＤＤ（Ｈａｒｄ　Ｄｉｓｋ　Ｄｒｉｖｅ）を用いたものである。 The memory 42 is composed of one or a plurality of non-volatile memories. Alternatively, the memory 42 is composed of one or more non-volatile memories and one or more volatile memories. The individual volatile memories are, for example, those using RAM (Random Access Memory). The individual non-volatile memories include, for example, a ROM (Read Only Memory), a flash memory, an EPROM (Erasable Programmable Read Only Memory), an EEPROM (Electrically Erasable Advanced Storage), a Small Memory Disk (Erasable Digital Disk) Drive) is used.
　処理回路４３は、１個又は複数個のデジタル回路により構成されている。または、処理回路４３は、１個又は複数個のデジタル回路及び１個又は複数個のアナログ回路により構成されている。すなわち、処理回路４３は、１個又は複数個の処理回路により構成されている。個々の処理回路は、例えば、ＡＳＩＣ（Ａｐｐｌｉｃａｔｉｏｎ　Ｓｐｅｃｉｆｉｃ　Ｉｎｔｅｇｒａｔｅｄ　Ｃｉｒｃｕｉｔ）、ＰＬＤ（Ｐｒｏｇｒａｍｍａｂｌｅ　Ｌｏｇｉｃ　Ｄｅｖｉｃｅ）、ＦＰＧＡ（Ｆｉｅｌｄ－Ｐｒｏｇｒａｍｍａｂｌｅ　Ｇａｔｅ　Ａｒｒａｙ）、ＳｏＣ（Ｓｙｓｔｅｍ－ｏｎ－ａ－Ｃｈｉｐ）又はシステムＬＳＩ（Ｌａｒｇｅ－Ｓｃａｌｅ　Ｉｎｔｅｇｒａｔｉｏｎ）を用いたものである。 The processing circuit 43 is composed of one or a plurality of digital circuits. Alternatively, the processing circuit 43 is composed of one or more digital circuits and one or more analog circuits. That is, the processing circuit 43 is composed of one or a plurality of processing circuits. The individual processing circuits include, for example, an ASIC (Application Specific Integrated Circuit), a PLD (Programmable Logic Device), an FPGA (Field-Programmable Gate Array), an FPGA (Field-Programmable Gate Array), and a System-System (System) System. ) Is used.
　次に、図９のフローチャートを参照して、制御装置１００の動作について、粒子検知処理、作動開始指示制御、粒子誘導用送風制御及び作動停止指示制御を中心に説明する。 Next, with reference to the flowchart of FIG. 9, the operation of the control device 100 will be mainly described with particle detection processing, operation start instruction control, particle guidance ventilation control, and operation stop instruction control.
　例えば、送風制御部２３が空気調和用送風制御を実行しているとき、ライダ１７は、空気調和対象空間Ｓ１内を繰り返し走査する。ライダ１７は、各回の走査において、複数個の視線方向Ｄの各々における距離－強度特性Ｐ（Ｚ）を取得する。粒子検知処理部２６は、例えば、ライダ１７による各回の走査が終了したとき、ステップＳＴ１の処理を実行する。 For example, when the blower control unit 23 is executing the blower control for air conditioning, the rider 17 repeatedly scans the inside of the air conditioning target space S1. The rider 17 acquires the distance-intensity characteristic P (Z) in each of the plurality of line-of-sight directions D in each scan. The particle detection processing unit 26 executes the processing of step ST1 when, for example, each scanning by the rider 17 is completed.
　まず、ステップＳＴ１にて、粒子検知処理部２６が粒子検知処理を実行する。粒子検知処理の具体例は上記のとおりであるため、再度の説明は省略する。粒子検知処理部２６は、第２粒子密度分布情報を送風制御部２３に出力する。 First, in step ST1, the particle detection processing unit 26 executes the particle detection processing. Since the specific example of the particle detection process is as described above, the description thereof will be omitted again. The particle detection processing unit 26 outputs the second particle density distribution information to the ventilation control unit 23.
　次いで、ステップＳＴ２にて、送風制御部２３は、粒子検知処理部２６により出力された第２粒子密度分布情報を用いて、粒子誘導用送風制御の実行要否を判定する。送風制御部２３による判定方法の具体例は上記のとおりであるため、再度の説明は省略する。 Next, in step ST2, the blower control unit 23 determines whether or not the particle induction blower control needs to be executed by using the second particle density distribution information output by the particle detection processing unit 26. Since the specific example of the determination method by the blower control unit 23 is as described above, the description thereof will be omitted again.
　粒子誘導用送風制御の実行が要であると判定された場合（ステップＳＴ２“ＹＥＳ”）、ステップＳＴ３にて、通信制御部３１が作動開始指示制御を実行する。次いで、ステップＳＴ４にて、送風制御部２３は、粒子誘導用送風制御を開始する。粒子誘導用送風制御の具体例は上記のとおりであるため、再度の説明は省略する。このとき、送風制御部２３は、空気調和用送風制御を実行中である場合、当該実行中の空気調和用送風制御を停止するものであっても良い。 When it is determined that it is necessary to execute the particle guidance ventilation control (step ST2 “YES”), the communication control unit 31 executes the operation start instruction control in step ST3. Next, in step ST4, the blower control unit 23 starts the blower control for particle guidance. Since the specific example of the blower control for particle induction is as described above, the description thereof will be omitted again. At this time, when the air-conditioning blower control is being executed, the air-conditioning control unit 23 may stop the air-conditioning blower control during the execution.
　ステップＳＴ４にて粒子誘導用送風制御が開始された後、ライダ１７による走査が繰り返し実行される。ライダ１７による各回の走査が終了したとき、ステップＳＴ５の処理が実行される。 After the particle induction ventilation control is started in step ST4, scanning by the rider 17 is repeatedly executed. When each scan by the rider 17 is completed, the process of step ST5 is executed.
　ステップＳＴ５にて、粒子検知処理部２６が粒子検知処理を実行する。粒子検知処理の具体例は上記のとおりであるため、再度の説明は省略する。粒子検知処理部２６は、第２粒子密度分布情報を送風制御部２３に出力する。 In step ST5, the particle detection processing unit 26 executes the particle detection processing. Since the specific example of the particle detection process is as described above, the description thereof will be omitted again. The particle detection processing unit 26 outputs the second particle density distribution information to the ventilation control unit 23.
　次いで、ステップＳＴ６にて、送風制御部２３は、粒子検知処理部２６により出力された第２粒子密度分布情報を用いて、粒子誘導用送風制御の実行要否を判定する。送風制御部２３による判定方法の具体例は上記のとおりであるため、再度の説明は省略する。 Next, in step ST6, the blower control unit 23 determines whether or not the particle induction blower control needs to be executed by using the second particle density distribution information output by the particle detection processing unit 26. Since the specific example of the determination method by the blower control unit 23 is as described above, the description thereof will be omitted again.
　粒子誘導用送風制御の実行が要であると判定された場合（ステップＳＴ６“ＮＯ”）、粒子誘導用送風制御が継続される。他方、粒子誘導用送風制御の実行が不要であると判定された場合（ステップＳＴ６“ＹＥＳ”）、ステップＳＴ７にて、送風制御部２３が粒子誘導用送風制御を終了する。このとき、送風制御部２３は、ステップＳＴ２“ＹＥＳ”のタイミングにて停止された空気調和用送風制御を再開するものであっても良い。次いで、ステップＳＴ８にて、通信制御部３１が作動停止指示制御を実行する。 When it is determined that the execution of the particle guiding air blow control is necessary (step ST6 “NO”), the particle guiding air blow control is continued. On the other hand, when it is determined that the execution of the particle guiding air blowing control is unnecessary (step ST6 “YES”), the air blowing control unit 23 ends the particle guiding air blowing control in step ST7. At this time, the air-conditioning control unit 23 may restart the air-conditioning air-conditioning control that was stopped at the timing of step ST2 “YES”. Next, in step ST8, the communication control unit 31 executes the operation stop instruction control.
　このように、空気調和機２００は、ライダ１７を用いた粒子検知処理を実行する。粒子検知処理にライダ１７を用いることにより、室内機１の設置位置に対する近傍の領域における検知対象粒子を早期に検知することができるのはもちろんのこと、当該設置位置に対する遠方の領域における検知対象粒子も早期に検知することができる。 In this way, the air conditioner 200 executes the particle detection process using the rider 17. By using the lidar 17 for the particle detection process, it is possible to detect the particles to be detected in the region near the installation position of the indoor unit 1 at an early stage, and the particles to be detected in the region far from the installation position. Can be detected early.
　また、粒子検知処理にライダ１７を用いることにより、空気調和対象空間Ｓ１内の広範囲（例えば略全体）における密度値ρの分布状態を検知することができる。これにより、風向風速モデルテーブルＴを用いて、検知対象粒子の除去に適した気流ＡＦを発生させることができる。具体的には、例えば、検知対象粒子を換気装置３００又は空気清浄機４００に誘導する気流ＡＦを発生させることができる。 Further, by using the rider 17 for the particle detection process, it is possible to detect the distribution state of the density value ρ in a wide range (for example, substantially the entire area) in the air conditioning target space S1. As a result, the airflow AF suitable for removing the particles to be detected can be generated by using the wind direction and speed model table T. Specifically, for example, an airflow AF that guides the particles to be detected to the ventilation device 300 or the air purifier 400 can be generated.
　なお、図１０に示す如く、粒子除去システム５００は、空気清浄機４００を含まないものであっても良い。この場合、図１１に示す如く、換気装置３００の設置位置に対応する領域（図中Ａ４＿１）が粒子誘導対象領域Ａ４に設定されるものであっても良い。 Note that, as shown in FIG. 10, the particle removal system 500 may not include the air purifier 400. In this case, as shown in FIG. 11, the region (A4-1 in the figure) corresponding to the installation position of the ventilation device 300 may be set in the particle induction target region A4.
　また、図１２に示す如く、粒子除去システム５００は、換気装置３００を含まないものであっても良い。この場合、図１３に示す如く、空気清浄機４００の設置位置に対応する領域（図中Ａ４＿２）が粒子誘導対象領域Ａ４に設定されるものであっても良い。 Further, as shown in FIG. 12, the particle removal system 500 may not include the ventilation device 300. In this case, as shown in FIG. 13, the region (A4_2 in the figure) corresponding to the installation position of the air purifier 400 may be set in the particle induction target region A4.
　また、粒子誘導用送風制御においては、検知対象粒子の種類毎に異なる風向風速モデルＭが選択されるものであっても良い。これは、検知対象粒子が有する粘性、検知対象粒子に含まれる分子の重さ、及び検知対象粒子に含まれる分子のサイズなどに応じて、検知対象粒子の誘導に要する風速値ＶＭ（すなわち検知対象粒子の誘導に要する送風風量ＶＢ）などが異なり得るためである。 Further, in the air blow control for particle guidance, a different wind direction and speed model M may be selected for each type of particles to be detected. This viscosity has sense target particles, the weight of the molecules contained in the detection target particles, and depending on the size of the molecules contained in the detection target particles, wind velocity V M required for the induction of the detection target particles (i.e. detection This is because the amount of air blown air V B ) required to guide the target particles may differ.
　また、複数個の風向風速モデルＭのうちの少なくとも一部の風向風速モデルＭは、いわゆる「機械学習」による学習済みモデルを用いたものであっても良い。 Further, at least a part of the wind direction and wind speed models M among the plurality of wind direction and wind speed models M may use a trained model by so-called "machine learning".
　また、粒子検知処理部２６は、第２粒子密度算出部２５を有しないものであっても良い。この場合、粒子検知処理部２６は、第１粒子密度分布情報を送風制御部２３に出力するものであっても良い。送風制御部２３は、第２密度値ρ２に代えて第１密度値ρ１を用いて、粒子誘導用送風制御の実行要否を判定するとともに、粒子誘導用送風制御を実行するものであっても良い。ただし、密度値ρと閾値ρｔｈ２との比較を安定させる観点から、すなわち検知対象粒子の検知を安定させる観点から、第２密度値ρ２を用いるのがより好適である。また、粒子誘導用送風制御による処理負荷を低減する観点からも、第２密度値ρ２を用いるのがより好適である。 Further, the particle detection processing unit 26 may not have the second particle density calculation unit 25. In this case, the particle detection processing unit 26 may output the first particle density distribution information to the ventilation control unit 23. The blower control unit 23 uses the first density value ρ1 instead of the second density value ρ2 to determine whether or not the particle guide blower control needs to be executed, and even if the particle guide blower control is executed. good. However, it is more preferable to use the second density value ρ2 from the viewpoint of stabilizing the comparison between the density value ρ and the threshold value ρth2, that is, from the viewpoint of stabilizing the detection of the particles to be detected. Further, it is more preferable to use the second density value ρ2 from the viewpoint of reducing the processing load due to the blow control for particle induction.
　また、送風制御部２３には、風向風速モデルテーブルＴに代えて、複数個の単位領域Ａ５の各々における風向値ΦＭ，ΘＭのモデル（以下「風向モデル」という。）Ｍ’と、この風向モデルＭ’を実現するための送風方向ΦＢ，ΘＢとの対応関係を示すテーブル（以下「風向モデルテーブル」という。）Ｔ’が予め記憶されているものであっても良い。この場合、粒子誘導用送風制御における送風方向ΦＢ，ΘＢが選択された風向モデルＭ’に応じた値に設定される一方、粒子誘導用送風制御における送風風量ＶＢは空気調和用送風制御における送風風量ＶＢと同様の値に設定されるものであっても良い。ただし、粒子誘導用送風制御による誘導の精度を向上する観点から、風向風速モデルテーブルＴを用いるのがより好適である。 Further, in the wind control unit 23, instead of the wind direction and wind speed model table T, a model of wind direction values Φ M and Θ M in each of the plurality of unit regions A5 (hereinafter referred to as “wind direction model”) M'and this. A table (hereinafter referred to as "wind direction model table") T'showing the correspondence between the blowing directions Φ B and Θ B for realizing the wind direction model M'may be stored in advance. In this case, the blowing directions Φ B and Θ B in the particle guiding blowing control are set to the values corresponding to the selected wind direction model M', while the blowing air volume V B in the particle guiding blowing control is the air conditioning blowing control. It may be set to the same value as the air volume V B in . However, it is more preferable to use the wind direction and speed model table T from the viewpoint of improving the accuracy of guidance by the blower control for particle guidance.
　また、送風風量制御部２２による送風風量ＶＢの制御方法は、駆動モータ１６におけるロータの回転数を制御する方法に限定されるものではない。例えば、室内機１は、風量調節用のダンパ（不図示）を有するものであっても良い。送風風量制御部２２は、当該ダンパを制御することにより、すなわちダクト抵抗曲線を変化させることにより、送風風量ＶＢを制御するものであっても良い。 Further, the method of controlling the air volume V B by the air volume control unit 22 is not limited to the method of controlling the rotation speed of the rotor in the drive motor 16. For example, the indoor unit 1 may have a damper (not shown) for adjusting the air volume. The blast air volume control unit 22 may control the blast air volume V B by controlling the damper, that is, by changing the duct resistance curve.
　また、空気調和機２００は空気調和用の機器であれば良く、エアコンに限定されるものではない。例えば、空気調和機２００は、扇風機、送風機又はエアダクト装置により構成されているものであっても良い。 Further, the air conditioner 200 may be any device for air conditioning and is not limited to the air conditioner. For example, the air conditioner 200 may be composed of a fan, a blower, or an air duct device.
　また、粒子除去システム５００は、複数台の空気調和機２００を含むものであっても良い。この場合、当該複数台の空気調和機２００が連携することにより、選択された風向風速モデルＭによる粒子誘導用送風制御が実現されるものであっても良い。これにより、複雑な風向風速モデルＭによる粒子誘導用送風制御を実現することができる。 Further, the particle removal system 500 may include a plurality of air conditioners 200. In this case, the blower control for particle guidance by the selected wind direction and speed model M may be realized by coordinating the plurality of air conditioners 200. As a result, it is possible to realize the blowing control for particle guidance by the complicated wind direction and speed model M.
　以上のように、実施の形態１に係る空気調和機２００は、ライダ１７を用いて、空気調和対象空間Ｓ１における検知対象粒子の密度値ρを算出する粒子検知処理部２６と、密度値ρを用いて、空気調和対象空間Ｓ１に対する送風方向ΦＢ，ΘＢを制御する送風制御部２３と、を備える。ライダ１７を用いることにより、空気調和対象空間Ｓ１における密度値ρの分布状態を検知することができる。この結果、粒子誘導用送風制御において、検知対象粒子の除去に適した気流ＡＦを発生させることができる。換言すれば、不要な気流が発生するのを抑制することができる。 As described above, the air conditioner 200 according to the first embodiment uses the rider 17 to set the density value ρ and the particle detection processing unit 26 for calculating the density value ρ of the detection target particles in the air conditioning target space S1. It is provided with a ventilation control unit 23 for controlling the ventilation directions Φ B and Θ B with respect to the air conditioning target space S1. By using the rider 17, the distribution state of the density value ρ in the air-conditioning target space S1 can be detected. As a result, it is possible to generate an airflow AF suitable for removing the particles to be detected in the blower control for particle guidance. In other words, it is possible to suppress the generation of unnecessary airflow.
　また、粒子検知処理部２６は、複数個の第１粒子検知対象領域Ａ１の各々における第１密度値ρ１を算出する第１粒子密度算出部２４と、第１密度値ρ１を空間的に平均化することにより、複数個の第２粒子検知対象領域Ａ２の各々における第２密度値ρ２を算出する第２粒子密度算出部２５と、を有し、送風制御部２３は、第２密度値ρ２を送風方向ΦＢ，ΘＢの制御に用いる。第２密度値ρ２を用いることにより、第１密度値ρ１を用いる場合に比して、検知対象粒子の検知を安定させることができる。また、送風制御部２３による処理負荷を低減することができる。 Further, the particle detection processing unit 26 spatially averages the first particle density calculation unit 24 for calculating the first density value ρ1 in each of the plurality of first particle detection target regions A1 and the first density value ρ1. By doing so, the second particle density calculation unit 25 for calculating the second density value ρ2 in each of the plurality of second particle detection target regions A2 is provided, and the ventilation control unit 23 sets the second density value ρ2. It is used to control the ventilation directions Φ B and Θ B. By using the second density value ρ2, it is possible to stabilize the detection of the particles to be detected as compared with the case where the first density value ρ1 is used. In addition, the processing load of the blower control unit 23 can be reduced.
　また、送風制御部２３は、密度値ρを用いて、送風方向ΦＢ，ΘＢ及び空気調和対象空間Ｓ１に対する送風風量ＶＢを制御する。送風方向ΦＢ，ΘＢに加えて送風風量ＶＢを制御対象に含めることにより、粒子誘導用送風制御による誘導の精度を向上することができる。 Further, the blower control unit 23 controls the blower air volume V B with respect to the blower directions Φ B , Θ B and the air conditioning target space S1 by using the density value ρ. Blowing direction [Phi B, by including in addition to the controlled object the blowing air volume V B to theta B, it is possible to improve the accuracy of induction by blowing control particles induction.
　また、粒子検知処理部２６は、複数個の第１粒子検知対象領域Ａ１の各々における第１密度値ρ１を算出する第１粒子密度算出部２４と、第１密度値ρ１を空間的に平均化することにより、複数個の第２粒子検知対象領域Ａ２の各々における第２密度値ρ２を算出する第２粒子密度算出部２５と、を有し、送風制御部２３は、第２密度値ρ２を送風方向ΦＢ，ΘＢ及び送風風量ＶＢの制御に用いる。第２密度値ρ２を用いることにより、第１密度値ρ１を用いる場合に比して、検知対象粒子の検知を安定させることができる。また、送風制御部２３による処理負荷を低減することができる。 Further, the particle detection processing unit 26 spatially averages the first particle density calculation unit 24 for calculating the first density value ρ1 in each of the plurality of first particle detection target regions A1 and the first density value ρ1. By doing so, the second particle density calculation unit 25 for calculating the second density value ρ2 in each of the plurality of second particle detection target regions A2 is provided, and the ventilation control unit 23 sets the second density value ρ2. It is used to control the ventilation direction Φ B , Θ B and the ventilation air volume V B. By using the second density value ρ2, it is possible to stabilize the detection of the particles to be detected as compared with the case where the first density value ρ1 is used. In addition, the processing load of the blower control unit 23 can be reduced.
　また、送風制御部２３は、送風方向ΦＢ，ΘＢを制御することにより、検知対象粒子を空気調和対象空間Ｓ１における粒子誘導対象領域Ａ４に誘導する。これにより、例えば、換気装置３００の設置位置に対応する領域、又は空気清浄機４００の設置位置に対応する領域に検知対象粒子を誘導することができる。 Further, the ventilation control unit 23 guides the detection target particles to the particle guidance target region A4 in the air conditioning target space S1 by controlling the ventilation directions Φ B and Θ B. Thereby, for example, the particles to be detected can be guided to the region corresponding to the installation position of the ventilation device 300 or the region corresponding to the installation position of the air purifier 400.
　また、送風制御部２３は、送風方向ΦＢ，ΘＢ及び送風風量ＶＢを制御することにより、検知対象粒子を空気調和対象空間Ｓ１における粒子誘導対象領域Ａ４に誘導する。これにより、例えば、換気装置３００の設置位置に対応する領域、又は空気清浄機４００の設置位置に対応する領域に検知対象粒子を誘導することができる。 Further, the blast control unit 23 guides the particles to be detected to the particle guidance target region A4 in the air conditioning target space S1 by controlling the blast directions Φ B , Θ B and the blast air volume V B. Thereby, for example, the particles to be detected can be guided to the region corresponding to the installation position of the ventilation device 300 or the region corresponding to the installation position of the air purifier 400.
　また、送風制御部２３は、空気調和対象空間Ｓ１における換気装置３００の設置位置に対応する領域を粒子誘導対象領域Ａ４に設定する。これにより、換気装置３００による検知対象粒子の除去を実現することができる。 Further, the ventilation control unit 23 sets the region corresponding to the installation position of the ventilation device 300 in the air conditioning target space S1 to the particle guidance target region A4. As a result, it is possible to realize the removal of the detection target particles by the ventilation device 300.
　また、送風制御部２３は、空気調和対象空間Ｓ１における空気清浄機４００の設置位置に対応する領域を粒子誘導対象領域Ａ４に設定する。これにより、空気清浄機４００による検知対象粒子の除去を実現することができる。 Further, the blower control unit 23 sets the region corresponding to the installation position of the air purifier 400 in the air conditioning target space S1 to the particle guidance target region A4. As a result, it is possible to realize the removal of the particles to be detected by the air purifier 400.
　また、実施の形態１に係る粒子除去システム５００は、空気調和機２００と、換気装置３００と、を備える。これにより、換気装置３００による検知対象粒子の除去を実現することができる。 Further, the particle removal system 500 according to the first embodiment includes an air conditioner 200 and a ventilation device 300. As a result, it is possible to realize the removal of the detection target particles by the ventilation device 300.
　また、実施の形態１に係る粒子除去システム５００は、空気調和機２００と、空気清浄機４００と、を備える。これにより、空気清浄機４００による検知対象粒子の除去を実現することができる。 Further, the particle removal system 500 according to the first embodiment includes an air conditioner 200 and an air purifier 400. As a result, it is possible to realize the removal of the particles to be detected by the air purifier 400.
　また、実施の形態１に係る制御方法は、空気調和機２００の制御方法であって、粒子検知処理部２６が、ライダ１７を用いて、空気調和対象空間Ｓ１における検知対象粒子の密度値ρを算出して、送風制御部２３が、密度値ρを用いて、空気調和対象空間Ｓ１に対する送風方向ΦＢ，ΘＢを制御する。これにより、空気調和機２００による上記効果と同様の効果を得ることができる。 Further, the control method according to the first embodiment is a control method of the air conditioner 200, in which the particle detection processing unit 26 uses the rider 17 to set the density value ρ of the detection target particles in the air conditioning target space S1. After calculation, the ventilation control unit 23 controls the ventilation directions Φ B and Θ B with respect to the air conditioning target space S1 by using the density value ρ. Thereby, the same effect as the above effect by the air conditioner 200 can be obtained.
実施の形態２．
　図１４は、実施の形態２に係る空気調和機を含む粒子除去システムの要部を示すブロック図である。図１５は、実施の形態２に係る空気調和機の室内機の要部を示すブロック図である。図１４及び図１５を参照して、実施の形態２に係る空気調和機を含む粒子除去システムについて説明する。 Embodiment 2.
FIG. 14 is a block diagram showing a main part of the particle removal system including the air conditioner according to the second embodiment. FIG. 15 is a block diagram showing a main part of the indoor unit of the air conditioner according to the second embodiment. A particle removal system including an air conditioner according to a second embodiment will be described with reference to FIGS. 14 and 15.
　なお、図１４において、図１に示すブロックと同様のブロックには同一符号を付して説明を省略する。また、図１５において、図２に示すブロックと同様のブロックには同一符号を付して説明を省略する。 Note that, in FIG. 14, the same blocks as those shown in FIG. 1 are designated by the same reference numerals, and the description thereof will be omitted. Further, in FIG. 15, the same blocks as those shown in FIG. 2 are designated by the same reference numerals, and the description thereof will be omitted.
　図１４に示す如く、空気調和機２００ａ、換気装置３００及び空気清浄機４００により、粒子除去システム５００ａの要部が構成されている。 As shown in FIG. 14, the main part of the particle removal system 500a is composed of the air conditioner 200a, the ventilation device 300, and the air purifier 400.
　実施の形態１にて説明したとおり、ライダ１７は、空気調和対象空間Ｓ１内を走査することにより、複数個の視線方向Ｄの各々における距離－強度特性Ｐ（Ｚ）を取得するものである。これに加えて、ライダ１７は、当該走査により、複数個の視線方向Ｄの各々における、少なくとも１個の距離値Ｚ（ｉ）に対応する地点（以下「風計測対象地点」という。）Ｐｒにおける、視線方向Ｄに対する風速値（以下「視線方向風速値」という。）Ｖｒを取得するものである。各方式のライダによる視線方向風速値Ｖｒの取得方法は公知であるため、詳細な説明は省略する。ライダ１７は、角度値θ，φ及び視線方向風速値Ｖｒを含む情報（以下「視線方向風速情報」という。）を風計測処理部２９に出力するものである。 As described in the first embodiment, the rider 17 acquires the distance-intensity characteristic P (Z) in each of the plurality of line-of-sight directions D by scanning in the air-conditioning target space S1. In addition to this, the rider 17 is subjected to the scanning at a point corresponding to at least one distance value Z (i) in each of the plurality of line-of-sight directions D (hereinafter referred to as “wind measurement target point”) Pr. , The wind speed value for the line-of-sight direction D (hereinafter referred to as "line-of-sight direction wind speed value") Vr is acquired. Since the method of acquiring the wind speed value Vr in the line-of-sight direction by the rider of each method is known, detailed description thereof will be omitted. The rider 17 outputs information including the angle values θ and φ and the line-of-sight direction wind speed value Vr (hereinafter referred to as “line-of-sight direction wind speed information”) to the wind measurement processing unit 29.
　風計測処理部２９は、ライダ１７により出力された視線方向風速情報を用いて、空気調和対象空間Ｓ１内のＮ個の領域（以下「風計測対象領域」という。）Ａ６の各々における、方位角方向に対する風向値（すなわち第１風向値）ΦＬ、仰俯角方向に対する風向値（すなわち第２風向値）ΘＬ、及び風速値ＶＬを算出するものである。Ｎ個の風計測対象領域Ａ６の各々は、例えば、複数個の風計測対象地点Ｐｒのうちの対応するＭ個の風計測対象地点Ｐｒにより囲まれた領域である。ここで、Ｎは２以上の任意の整数であり、Ｍは３以上の任意の整数である。 The wind measurement processing unit 29 uses the line-of-sight direction wind speed information output by the rider 17 to azimuth angles in each of the N regions (hereinafter referred to as “wind measurement target regions”) A6 in the air conditioning target space S1. The wind direction value (that is, the first wind direction value) Φ L with respect to the direction, the wind direction value (that is, the second wind direction value) Θ L with respect to the elevation / depression angle direction, and the wind speed value VL are calculated. Each of the N wind measurement target areas A6 is, for example, an area surrounded by the corresponding M wind measurement target points Pr among the plurality of wind measurement target points Pr. Here, N is an arbitrary integer of 2 or more, and M is an arbitrary integer of 3 or more.
　すなわち、風向値ΦＬ，ΘＬを算出する風向値算出部２７、及び風速値ＶＬを算出する風速値算出部２８により、風計測処理部２９が構成されている。以下、風向値算出部２７が風向値ΦＬ，ΘＬを算出する処理及び風速値算出部２８が風速値ＶＬを算出する処理を総称して「風計測処理」という。 That is, the wind measurement processing unit 29 is composed of the wind direction value calculation unit 27 that calculates the wind direction values Φ L and Θ L , and the wind speed value calculation unit 28 that calculates the wind speed value VL . Hereinafter, the process in which the wind direction value calculation unit 27 calculates the wind direction values Φ L and Θ L and the process in which the wind speed value calculation unit 28 calculates the wind speed value VL are collectively referred to as “wind measurement process”.
　ここで、図１６及び図１７を参照して、風計測処理部２９による風計測処理の具体例について説明する。以下、Ｎ個の風計測対象領域Ａ６のうちの第ｎの風計測対象領域Ａ６に係る各符号に「＿ｎ」を付すことがある（１≦ｎ≦Ｎ）。また、第ｎの風計測対象領域Ａ６に対応するＭ個の風計測対象地点Ｐｒのうちの第ｍの風計測対象地点Ｐｒに係る各符号に「＿ｎ＿ｍ」を付すことがある（１≦ｍ≦Ｍ）。 Here, a specific example of the wind measurement processing by the wind measurement processing unit 29 will be described with reference to FIGS. 16 and 17. Hereinafter, "_n" may be added to each code related to the nth wind measurement target area A6 of the N wind measurement target areas A6 (1 ≦ n ≦ N). Further, "_n_m" may be added to each code related to the mth wind measurement target point Pr among the M wind measurement target points Pr corresponding to the nth wind measurement target area A6 (1 ≦ m ≦). M).
　図１６に示す如く、角度値φ＿１＿１，θ＿１＿１に対応する視線方向Ｄ＿１＿１、角度値φ＿１＿２，θ＿１＿２に対応する視線方向Ｄ＿１＿２、及び角度値φ＿１＿３，θ＿１＿３に対応する視線方向Ｄ＿１＿３の各々にライダ１７がレーザ光Ｌを出力したものとする。これにより、３個の風計測対象地点Ｐｒ＿１＿１，Ｐｒ＿１＿２，Ｐｒ＿１＿３における３個の視線方向風速値Ｖｒ＿１＿１，Ｖｒ＿１＿２，Ｖｒ＿１＿３がそれぞれ取得される。 As shown in FIG. 16, the rider 17 emits laser light in each of the line-of-sight direction D_1, which corresponds to the angle values φ_1 and θ_1, the line-of-sight direction D_1, which corresponds to the angle values φ_1, and θ_1, and the line-of-sight direction D_1, which corresponds to the angle values φ_1, and θ_1. It is assumed that L is output. As a result, the three wind speed values in the line-of-sight direction Vr_1_1, Vr_1_2, and Vr_1_3 at the three wind measurement target points Pr_1, Pr_1_2, and Pr_1_3 are acquired, respectively.
　ここで、個々の風計測対象地点Ｐｒにおける視線方向風速値Ｖｒは、以下の式（４）により表される。Ｖｕは、対応する風計測対象地点Ｐｒにおけるｘ方向に対する風速値である。Ｖｖは、対応する風計測対象地点Ｐｒにおけるｙ方向に対する風速値である。Ｖｗは、対応する風計測対象地点Ｐｒにおけるｚ方向に対する風速値である。 Here, the line-of-sight direction wind speed value Vr at each wind measurement target point Pr is expressed by the following equation (4). Vu is a wind speed value in the x direction at the corresponding wind measurement target point Pr. Vv is a wind speed value in the y direction at the corresponding wind measurement target point Pr. Vw is a wind speed value in the z direction at the corresponding wind measurement target point Pr.
　Ｖｒ＝Ｖｕ×ｓｉｎφ×ｃｏｓθ
　　　＋Ｖｖ×ｃｏｓφ×ｃｏｓθ
　　　＋Ｖｗ×ｓｉｎθ　　　　　　　（４） Vr = Vu × sinφ × cosθ
+ Vv × cosφ × cosθ
+ Vw × sinθ (4)
　角度値φ＿１＿１，φ＿１＿２，φ＿１＿３，θ＿１＿１，θ＿１＿２，θ＿１＿３、及び視線方向風速値Ｖｒ＿１＿１，Ｖｒ＿１＿２，Ｖｒ＿１＿３を上記式（４）に代入することにより、３個の変数Ｖｕ，Ｖｖ，Ｖｗを含む三元連立方程式が得られる。風計測処理部２９は、この三元連立方程式を解くことにより、第１の風計測対象領域Ａ６＿１における風速値Ｖｕ＿１，Ｖｖ＿１，Ｖｗ＿１を算出する。図１６に示す如く、第１の風計測対象領域Ａ６＿１は、３個の風計測対象地点Ｐｒ＿１＿１，Ｐｒ＿１＿２，Ｐｒ＿１＿３により囲まれた領域である。 By substituting the angle values φ_1, φ_1, φ_1, θ_1, θ_1, θ_1, and the wind speed values in the line-of-sight direction Vr_1, Vr_1, Vr_1_3 into the above equation (4), a ternary system including three variables Vu, Vv, and Vw. The equation is obtained. The wind measurement processing unit 29 calculates the wind speed values Vu_1, Vv_1, Vw_1 in the first wind measurement target region A6_1 by solving this ternary simultaneous equation. As shown in FIG. 16, the first wind measurement target area A6_1 is an area surrounded by three wind measurement target points Pr_1_1, Pr_1_2, and Pr_1-3.
　次いで、風向値算出部２７は、上記式（４）により算出された風速値Ｖｕ＿１，Ｖｖ＿１を用いて、以下の式（５）により、第１の風計測対象領域Ａ６＿１における風向値ΦＬを算出する。また、風向値算出部２７は、上記式（４）により算出された風速値Ｖｕ＿１，Ｖｖ＿１，Ｖｗ＿１を用いて、以下の式（６）により、第１の風計測対象領域Ａ６＿１における風向値ΘＬを算出する。また、風速値算出部２８は、上記式（４）により算出された風速値Ｖｕ＿１，Ｖｖ＿１，Ｖｗ＿１を用いて、以下の式（７）により、第１の風計測対象領域Ａ６＿１における風速値ＶＬを算出する。 Next, the wind direction value calculation unit 27 calculates the wind direction value Φ L in the first wind measurement target region A6-1 by the following formula (5) using the wind speed values Vu_1 and Vv_1 calculated by the above formula (4). To do. Further, the wind direction value calculation unit 27 uses the wind speed values Vu_1, Vv_1, Vw_1 calculated by the above equation (4), and the wind direction value Θ L in the first wind measurement target region A6_1 by the following equation (6). Is calculated. Moreover, wind speed value calculation unit 28, the equation (4) wind velocity values calculated by Vu_1, Vv_1, using VW_1, the following equation (7), the wind speed value in the first wind measurement target region A6_1 V L Is calculated.
　ΦＬ＝ａｔａｎ（Ｖｕ／Ｖｖ）　　　　　　　　　　（５）
　ΘＬ＝ａｔａｎ｛Ｖｗ／√（Ｖｕ２＋Ｖｖ２）｝　　（６）
　ＶＬ＝√（Ｖｕ２＋Ｖｖ２＋Ｖｗ２）　　　　　　　（７） Φ L = atan (Vu / Vv) (5)
Θ L = atan {Vw / √ (Vu 2 + Vv 2 )} (6)
VL = √ (Vu 2 + Vv 2 + Vw 2 ) (7)
　以下、ライダ１７が空気調和対象空間Ｓ１内を走査しながら、上記と同様の処理が繰り返し実行される。最終的に、第Ｎの風計測対象領域Ａ６＿Ｎにおける風向値ΦＬ，ΘＬ及び風速値ＶＬが算出される（図１７参照）。 Hereinafter, the same processing as described above is repeatedly executed while the rider 17 scans in the air conditioning target space S1. Finally, wind direction value [Phi L, theta L and wind speed V L is calculated in the wind measurement target region A6_N of the N (see FIG. 17).
　すなわち、風向値算出部２７は、個々の風計測対象領域Ａ６内の風向及び風速が一様であるものとみなして、個々の風計測対象領域Ａ６における風向値ΦＬ，ΘＬ及び風速値ＶＬを算出するものである。したがって、個々の風計測対象領域Ａ６のサイズは、個々の風計測対象領域Ａ６内の風向及び風速が一様であるとみなすことができる程度に小さい値に設定するのが好適である。 That is, the wind direction value calculation unit 27 considers that the wind direction and the wind speed in each wind measurement target area A6 are uniform, and the wind direction values Φ L , Θ L and the wind speed value V in each wind measurement target area A6. L is calculated. Therefore, it is preferable to set the size of each wind measurement target region A6 to a value small enough to be considered to have uniform wind direction and speed in each wind measurement target region A6.
　例えば、Ｍ個の角度値φ＿ｎ＿１～φ＿ｎ＿Ｍのうちの各２個の角度値φ＿ｎ間の差分値は、第ｎの風計測対象領域Ａ６＿ｎのサイズに応じた値（例えば２度）に設定されている。また、Ｍ個の角度値θ＿ｎ＿１～θ＿ｎ＿Ｍのうちの各２個の角度値θ＿ｎ間の差分値は、第ｎの風計測対象領域Ａ６＿ｎのサイズに応じた値（例えば２度）に設定されている。 For example, the difference value between each of the two angle values φ_n among the M angle values φ_n_1 to φ_n_M is set to a value (for example, 2 degrees) according to the size of the nth wind measurement target region A6_n. .. Further, the difference value between each of the two angle values θ_n among the M angle values θ_n_1 to θ_n_M is set to a value (for example, 2 degrees) according to the size of the nth wind measurement target region A6_n. ..
　送風制御部２３ａは、空気調和用送風制御及び粒子誘導用送風制御を実行するものである。実施の形態１にて説明したとおり、粒子誘導用送風制御には、複数個の風向風速モデルＭのうちの選択された風向風速モデルＭが用いられる。以下、当該選択された風向風速モデルＭを「選択風向風速モデル」という。また、当該選択された風向風速モデルＭに対応する風向風速モデルテーブルＴを「選択風向風速モデルテーブル」という。 The blast control unit 23a executes blast control for air conditioning and blast control for particle induction. As described in the first embodiment, the wind direction wind speed model M selected from the plurality of wind direction wind speed models M is used for the air blow control for particle guidance. Hereinafter, the selected wind direction / wind speed model M is referred to as a “selected wind direction / wind speed model”. Further, the wind direction / wind speed model table T corresponding to the selected wind direction / wind speed model M is referred to as a “selected wind direction / wind speed model table”.
　ここで、送風制御部２３ａは、風計測処理部２９により算出された風向値ΦＬ，ΘＬ及び風速値ＶＬを用いて、選択風向風速モデルテーブルＴが示す送風方向ΦＢ，ΘＢ及び送風風量ＶＢに対して、粒子誘導用送風制御における送風方向ΦＢ，ΘＢ及び送風風量ＶＢを修正（すなわち補正）する機能を有している。以下、送風方向制御部２１ａが第１送風方向ΦＢを修正する制御、送風方向制御部２１ａが第２送風方向ΘＢを修正する制御、及び送風風量制御部２２ａが送風風量ＶＢを修正する制御を総称して「補正制御」という。補正制御の具体例は以下のとおりである。 Here, the blower control unit 23a, the wind direction value calculated by the wind measurement processing unit 29 [Phi L, using a theta L and wind speed value V L, the blowing direction [Phi B indicated by selecting Wind model table T, theta B and against blowing air volume V B, and has a function to correct the blowing direction Φ B, Θ B and the blower air volume V B of the air blow control particle induction (i.e. corrected). Hereinafter, the blower direction control unit 21a controls to correct the first blower direction Φ B , the blower direction control unit 21a controls to correct the second blower direction Θ B , and the blower air volume control unit 22a corrects the blower air volume V B. The control is collectively called "correction control". Specific examples of correction control are as follows.
　まず、送風方向制御部２１ａは、個々の風計測対象領域Ａ６における第１風向値ΦＬと、選択風向風速モデルＭにおける対応する単位領域Ａ５における第１風向値ΦＭとの差分値ΦＥを算出する。これにより、Ｎ個の風計測対象領域Ａ６と一対一に対応するＮ個の差分値ΦＥが算出される。 First, the blowing direction control unit 21a includes a first wind direction value [Phi L in each wind measurement target region A6, the difference value [Phi E between the first wind direction value [Phi M in the corresponding unit region A5 in selective Wind model M calculate. As a result, N difference values Φ E corresponding to N wind measurement target regions A6 on a one-to-one basis are calculated.
　また、送風方向制御部２１ａは、個々の風計測対象領域Ａ６における第２風向値ΘＬと、選択風向風速モデルＭにおける対応する単位領域Ａ５における第２風向値ΘＭとの差分値ΘＥを算出する。これにより、Ｎ個の風計測対象領域Ａ６と一対一に対応するＮ個の差分値ΘＥが算出される。 Further, the blowing direction control unit 21a, a second wind direction values in individual wind measurement target region A6 theta L, the difference value theta E and the second wind direction value theta M in the corresponding unit region A5 in selective Wind model M calculate. As a result, N difference values Θ E corresponding one-to-one with the N wind measurement target regions A6 are calculated.
　また、送風風量制御部２２ａは、個々の風計測対象領域Ａ６における風速値ＶＬと、選択風向風速モデルＭにおける対応する単位領域Ａ５における風速値ＶＭとの差分値ＶＥを算出する。これにより、Ｎ個の風計測対象領域Ａ６と一対一に対応するＮ個の差分値ＶＥが算出される。 Further, blowing air volume control unit 22a calculates the wind velocity value V L in the individual wind measurement target region A6, the difference value V E of the wind speed V M at the corresponding unit area A5 in selective Wind model M. Thus, the N differential values V E corresponding one-to-one with the N wind measurement target region A6 is calculated.
　次いで、送風方向制御部２１ａは、Ｎ個の差分値ΦＥのうちの少なくとも１個の差分値（以下「比較用差分値」という。）ΦＥを所定の閾値Φｔｈと比較する。比較用差分値ΦＥは、例えば、Ｎ個の差分値ΦＥのうちの最も大きい差分値ΦＥである。または、送風方向制御部２１ａは、Ｎ個の差分値ΦＥによるＲＭＳ（Ｒｏｏｔ　Ｍｅａｎ　Ｓｑｕａｒｅ）誤差ΦＲＭＳＥを算出して、当該算出されたＲＭＳ誤差ΦＲＭＳＥを所定の閾値Φｔｈと比較する。比較用差分値ΦＥ又はＲＭＳ誤差ΦＲＭＳＥが閾値Φｔｈ以上である場合、送風方向制御部２１ａは、第１送風方向ΦＢの修正が要であると判定する。他方、比較用差分値ΦＥ又はＲＭＳ誤差ΦＲＭＳＥが閾値Φｔｈ未満である場合、送風方向制御部２１ａは、第１送風方向ΦＢの修正が不要であると判定する。 Then, the air blowing direction control section 21a, at least one of the difference values of the N difference values [Phi E (hereinafter referred to as "comparative difference value".) Compare [Phi E with a predetermined threshold Faith. The comparison difference value Φ E is, for example, the largest difference value Φ E among the N difference values Φ E. Alternatively, the ventilation direction control unit 21a calculates an RMS (Root Mean Square) error Φ RMSE based on N difference values Φ E , and compares the calculated RMS error Φ RMSE with a predetermined threshold value Φth. When the comparison difference value Φ E or the RMS error Φ RMSE is equal to or greater than the threshold value Φth, the ventilation direction control unit 21a determines that the first ventilation direction Φ B needs to be corrected. On the other hand, when the comparison difference value Φ E or the RMS error Φ RMSE is less than the threshold value Φth, the ventilation direction control unit 21a determines that the correction of the first ventilation direction Φ B is unnecessary.
　また、送風方向制御部２１ａは、Ｎ個の差分値ΘＥのうちの少なくとも１個の差分値（以下「比較用差分値」という。）ΘＥを所定の閾値Θｔｈと比較する。比較用差分値ΘＥは、例えば、Ｎ個の差分値ΘＥのうちの最も大きい差分値ΘＥである。または、送風方向制御部２１ａは、Ｎ個の差分値ΘＥによるＲＭＳ誤差ΘＲＭＳＥを算出して、当該算出されたＲＭＳ誤差ΘＲＭＳＥを所定の閾値Θｔｈと比較する。比較用差分値ΘＥ又はＲＭＳ誤差ΘＲＭＳＥが閾値Θｔｈ以上である場合、送風方向制御部２１ａは、第２送風方向ΘＢの修正が要であると判定する。他方、比較用差分値ΘＥ又はＲＭＳ誤差ΘＲＭＳＥが閾値Θｔｈ未満である場合、送風方向制御部２１ａは、第２送風方向ΘＢの修正が不要であると判定する。 Further, the blowing direction control section 21a, at least one of the difference values of the N difference values theta E (hereinafter referred to as "comparative difference value".) The theta E with a predetermined threshold value .theta.TH. The comparison difference value Θ E is, for example, the largest difference value Θ E among the N difference values Θ E. Or blowing direction control unit 21a calculates the RMS error theta RMSE by the N difference values theta E, compare the RMS error theta RMSE, which is the calculated to a predetermined threshold value .theta.TH. When the comparison difference value Θ E or the RMS error Θ RMSE is equal to or greater than the threshold value Θth, the blowing direction control unit 21a determines that the second blowing direction Θ B needs to be corrected. On the other hand, when the comparison difference value theta E or RMS error theta RMSE is smaller than the threshold .theta.TH, blowing direction control unit 21a determines that the second blowing direction theta B correction is not required.
　また、送風風量制御部２２ａは、Ｎ個の差分値ＶＥのうちの少なくとも１個の差分値（以下「比較用差分値」という。）ＶＥを所定の閾値Ｖｔｈと比較する。比較用差分値ＶＥは、例えば、Ｎ個の差分値ＶＥのうちの最も大きい差分値ＶＥである。または、送風風量制御部２２ａは、Ｎ個の差分値ＶＥによるＲＭＳ誤差ＶＲＭＳＥを算出して、当該算出されたＲＭＳ誤差ＶＲＭＳＥを所定の閾値Ｖｔｈと比較する。比較用差分値ＶＥ又はＲＭＳ誤差ＶＲＭＳＥが閾値Ｖｔｈ以上である場合、送風風量制御部２２ａは、送風風量ＶＢの修正が要であると判定する。他方、比較用差分値ＶＥ又はＲＭＳ誤差ＶＲＭＳＥが閾値Ｖｔｈ未満である場合、送風風量制御部２２ａは、送風風量ＶＢの修正が不要であると判定する。 Further, blowing air volume control section 22a, at least one of the difference values of the N difference values V E (hereinafter referred to as "comparative difference value".) Compare V E with a predetermined threshold Vth. Comparative difference value V E is, for example, the largest difference value V E of the N difference values V E. Or, blow air volume control unit 22a calculates the RMS error V RMSE by the N difference values V E, compare the RMS error V RMSE, which is the calculated to a predetermined threshold value Vth. If the comparison difference value V E or RMS error V RMSE is equal to or greater than the threshold Vth, blowing air volume control unit 22a determines that the correction of the blowing air volume V B is essential. On the other hand, when the comparison difference value V E or RMS error V RMSE is smaller than the threshold value Vth, blowing air volume control unit 22a determines that the correction of the blowing air volume V B is not required.
　第１送風方向ΦＢの修正が要であると判定された場合、送風方向制御部２１ａは、Ｎ個の差分値ΦＥのうちの少なくとも１個の差分値（以下「補正用差分値」という。）ΦＥに応じた補正値ΦＣを算出する。補正用差分値ΦＥは、例えば、Ｎ個の差分値ΦＥのうちの最も大きい差分値ΦＥである。送風方向制御部２１ａは、当該算出された補正値ΦＣに基づき、選択風向風速モデルテーブルＴが示す第１送風方向ΦＢに対して、粒子誘導用送風制御における第１送風方向ΦＢを修正する。 When it is determined that the correction of the first blowing direction Φ B is necessary, the blowing direction control unit 21a receives at least one of the N difference values Φ E (hereinafter referred to as “correction difference value”). .) Calculate the correction value Φ C according to Φ E. The correction difference value Φ E is, for example, the largest difference value Φ E among the N difference values Φ E. Airflow direction control unit 21a on the basis of the correction value [Phi C which is the calculated, corrected for the first blowing direction [Phi B indicated by selecting Wind model table T, the first blowing direction [Phi B in blast control particles derived To do.
　また、第２送風方向ΘＢの修正が要であると判定された場合、送風方向制御部２１ａは、Ｎ個の差分値ΘＥのうちの少なくとも１個の差分値（以下「補正用差分値」という。）ΘＥに応じた補正値ΘＣを算出する。補正用差分値ΘＥは、例えば、Ｎ個の差分値ΘＥのうちの最も大きい差分値ΘＥである。送風方向制御部２１ａは、当該算出された補正値ΘＣに基づき、選択風向風速モデルテーブルＴが示す第２送風方向ΘＢに対して、粒子誘導用送風制御における第２送風方向ΘＢを修正する。 Further, when it is determined that the correction of the second blowing direction Θ B is necessary, the blowing direction control unit 21a sends the difference value of at least one of the N difference values Θ E (hereinafter, “correction difference value”). ”.) Calculate the correction value Θ C according to Θ E. The correction difference value Θ E is, for example, the largest difference value Θ E among the N difference values Θ E. Airflow direction control unit 21a, based on the correction value theta C which is the calculated, corrected for the second blowing direction theta B indicated by selecting Wind model table T, a second blowing direction theta B in the particle-induced blower control To do.
　また、送風風量ＶＢの修正が要であると判定された場合、送風風量制御部２２ａは、Ｎ個の差分値ＶＥのうちの少なくとも１個の差分値（以下「補正用差分値」という。）ＶＥに応じた補正値ＶＣを算出する。補正用差分値ＶＥは、例えば、Ｎ個の差分値ＶＥのうちの最も大きい差分値ＶＥである。送風風量制御部２２ａは、当該算出された補正値ＶＣに基づき、選択風向風速モデルテーブルＴが示す送風風量ＶＢに対して、粒子誘導用送風制御における送風風量ＶＢを修正する。 Further, if the correction of the blowing air volume V B is determined to be needed, blowing air volume control section 22a, at least one of the difference values of the N difference values V E (hereinafter referred to as "correction difference value" .) and calculates a correction value V C corresponding to V E. Correction difference value V E is, for example, the largest difference value V E of the N difference values V E. Blowing air volume control unit 22a, based on the correction value V C, which is the calculated, relative to the blowing air volume V B indicated selection Wind model table T, corrects the blowing air volume V B of the air blow control particle induction.
　空気調和対象空間Ｓ１内の風向及び風速に関して、空気調和対象空間Ｓ１内の家具等の設置状況により、目標値（すなわちΦＭ，ΘＭ，ＶＭ）に対する計測値（すなわちΦＬ，ΘＬ，ＶＬ）の誤差が生ずることがある。このとき、送風制御部２３ａが補正制御を実行することにより、かかる誤差を小さくすることができる。この結果、粒子誘導用送風制御による誘導の精度を向上することができる。 Respect wind direction and wind speed of the air-conditioning target space S1, the installation situation of furniture within the air-conditioning target space S1, the target value (i.e. Φ M, Θ M, V M ) measured values for (i.e. Φ L, Θ L, An error of VL ) may occur. At this time, the error can be reduced by executing the correction control by the blower control unit 23a. As a result, the accuracy of induction by the blower control for particle induction can be improved.
　なお、粒子誘導用送風制御の実行中に、ライダ１７が空気調和対象空間Ｓ１内を複数回走査して、風計測処理及び補正制御が複数回実行されるものであっても良い。これにより、上記誤差を次第に小さくすることができる。すなわち、補正制御は、いわゆる「フィードバック制御」によるものであっても良い。 It should be noted that the rider 17 may scan the air conditioning target space S1 a plurality of times during the execution of the particle guidance ventilation control, and the wind measurement process and the correction control may be executed a plurality of times. Thereby, the above error can be gradually reduced. That is, the correction control may be by so-called "feedback control".
　送風制御部２３ａ、粒子検知処理部２６、風計測処理部２９及び通信制御部３１により、制御装置１００ａの要部が構成されている。第１風向板１１、第２風向板１２、送風ファン１３、駆動モータ１４、駆動モータ１５、駆動モータ１６、ライダ１７、通信装置１９及び制御装置１００ａにより、室内機１ａの要部が構成されている。室内機１ａ及び室外機２により、空気調和機２００ａの要部が構成されている。 The main part of the control device 100a is composed of the air blow control unit 23a, the particle detection processing unit 26, the wind measurement processing unit 29, and the communication control unit 31. The main part of the indoor unit 1a is composed of the first wind direction plate 11, the second wind direction plate 12, the blower fan 13, the drive motor 14, the drive motor 15, the drive motor 16, the rider 17, the communication device 19, and the control device 100a. There is. The indoor unit 1a and the outdoor unit 2 form a main part of the air conditioner 200a.
　制御装置１００ａの要部のハードウェア構成は、実施の形態１にて図８を参照して説明したものと同様であるため、図示及び説明を省略する。すなわち、送風制御部２３ａ、粒子検知処理部２６、風計測処理部２９及び通信制御部３１の機能は、プロセッサ４１及びメモリ４２により実現されるものであっても良く、又は専用の処理回路４３により実現されるものであっても良い。 Since the hardware configuration of the main part of the control device 100a is the same as that described with reference to FIG. 8 in the first embodiment, the illustration and description will be omitted. That is, the functions of the air blow control unit 23a, the particle detection processing unit 26, the wind measurement processing unit 29, and the communication control unit 31 may be realized by the processor 41 and the memory 42, or by a dedicated processing circuit 43. It may be realized.
　次に、図１８のフローチャートを参照して、制御装置１００ａの動作について、風計測処理及び補正制御を中心に説明する。 Next, with reference to the flowchart of FIG. 18, the operation of the control device 100a will be described focusing on the wind measurement process and the correction control.
　粒子誘導用送風制御の実行中、すなわち図９に示すステップＳＴ４，ＳＴ７間にて、ライダ１７は空気調和対象空間Ｓ１内を繰り返し走査する。粒子誘導用送風制御の実行中、ライダ１７による走査に応じて、風計測処理及び補正制御が繰り返し実行される。 The rider 17 repeatedly scans the air conditioning target space S1 during the execution of the particle induction ventilation control, that is, between steps ST4 and ST7 shown in FIG. During the execution of the particle guidance blower control, the wind measurement process and the correction control are repeatedly executed according to the scanning by the rider 17.
　すなわち、ステップＳＴ１１にて、風計測処理部２９が風計測処理を実行する。風計測処理の具体例は上記のとおりであるため、再度の説明は省略する。ステップＳＴ１１の風計測処理により、Ｎ個の風計測対象領域Ａ６の各々における風向値ΦＬ，ΘＬ及び風速値ＶＬが算出される。 That is, in step ST11, the wind measurement processing unit 29 executes the wind measurement processing. Since the specific example of the wind measurement process is as described above, the description thereof will be omitted again. The wind measurement process in step ST11, wind direction value [Phi L in each of the N wind measurement target region A6, theta L and wind speed V L is calculated.
　次いで、ステップＳＴ１２にて、送風方向制御部２１ａは、ステップＳＴ１１の風計測処理により算出されたＮ個の第１風向値ΦＬを用いて、第１送風方向ΦＢの修正の要否を判定する。また、ステップＳＴ１３にて、送風方向制御部２１ａは、ステップＳＴ１１の風計測処理により算出されたＮ個の第２風向値ΘＬを用いて、第２送風方向ΘＢの修正の要否を判定する。また、ステップＳＴ１４にて、送風風量制御部２２ａは、ステップＳＴ１１の風計測処理により算出されたＮ個の風速値ＶＬを用いて、送風風量ＶＢの修正の要否を判定する。これらの判定方法の具体例は上記のとおりであるため、再度の説明は省略する。 Then, at step ST12, the blowing direction control unit 21a uses the first wind direction value [Phi L of N calculated by the wind measurement process in step ST11, determines the necessity of the first blowing direction [Phi B fixes To do. Further, at step ST13, the blowing direction control unit 21a uses the second wind direction value theta L of N calculated by the wind measurement process in step ST11, determines the necessity of the second blowing direction theta B fixes To do. Further, in step ST14, the blast air volume control unit 22a determines whether or not the blast air volume V B needs to be corrected by using the N wind speed values VL calculated by the wind measurement process in step ST11. Since specific examples of these determination methods are as described above, the description thereof will be omitted again.
　第１送風方向ΦＢの修正が要であると判定された場合（ステップＳＴ１２“ＹＥＳ”）、ステップＳＴ１５にて、送風方向制御部２１ａは、ステップＳＴ４における選択風向風速モデルテーブルＴが示す第１送風方向ΦＢに対して、粒子誘導用送風制御における第１送風方向ΦＢを修正する。他方、第１送風方向ΦＢの修正が不要であると判定された場合（ステップＳＴ１２“ＮＯ”）、ステップＳＴ１５の処理はスキップされる。 When it is determined that the correction of the first air blowing direction Φ B is necessary (step ST12 “YES”), in step ST15, the air blowing direction control unit 21a is the first indicated by the selected wind direction wind speed model table T in step ST4. relative airflow direction [Phi B, modifying the first blowing direction [Phi B in blast control particles induction. On the other hand, when it is determined that the correction of the first blowing direction Φ B is unnecessary (step ST12 “NO”), the processing of step ST15 is skipped.
　また、第２送風方向ΘＢの修正が要であると判定された場合（ステップＳＴ１３“ＹＥＳ”）、ステップＳＴ１６にて、送風方向制御部２１ａは、ステップＳＴ４における選択風向風速モデルテーブルＴが示す第２送風方向ΘＢに対して、粒子誘導用送風制御における第２送風方向ΘＢを修正する。他方、第２送風方向ΘＢの修正が不要であると判定された場合（ステップＳＴ１３“ＮＯ”）、ステップＳＴ１６の処理はスキップされる。 Further, when it is determined that the correction of the second blowing direction Θ B is necessary (step ST13 “YES”), in step ST16, the blowing direction control unit 21a is shown by the selected wind direction and wind speed model table T in step ST4. The second blowing direction Θ B in the particle guiding blowing control is modified with respect to the second blowing direction Θ B. On the other hand, when it is determined that the correction of the second blowing direction Θ B is unnecessary (step ST13 “NO”), the processing of step ST16 is skipped.
　また、送風風量ＶＢの修正が要であると判定された場合（ステップＳＴ１４“ＹＥＳ”）、ステップＳＴ１７にて、送風風量制御部２２ａは、ステップＳＴ４における選択風向風速モデルテーブルＴが示す送風風量ＶＢに対して、粒子誘導用送風制御における送風風量ＶＢを修正する。他方、送風風量ＶＢの修正が不要であると判定された場合（ステップＳＴ１４“ＮＯ”）、ステップＳＴ１７の処理はスキップされる。 When it is determined that the air volume V B needs to be corrected (step ST14 “YES”), in step ST17, the air volume control unit 22a uses the air volume control unit 22a to indicate the air volume indicated by the selected wind direction and speed model table T in step ST4. For V B , the air volume V B in the air blow control for particle induction is corrected. On the other hand, when it is determined that the correction of the air volume V B is unnecessary (step ST14 “NO”), the process of step ST17 is skipped.
　すなわち、ステップＳＴ１５～ＳＴ１７にて、送風制御部２３ａが補正制御を実行する。補正制御の具体例は上記のとおりであるため、再度の説明は省略する。 That is, in steps ST15 to ST17, the ventilation control unit 23a executes the correction control. Since the specific example of the correction control is as described above, the description thereof will be omitted again.
　なお、送風方向制御部２１ａは、ＲＭＳ誤差ΦＲＭＳＥに代えて、Ｎ個の差分値ΦＥの平均値を所定の閾値Φｔｈと比較するものであっても良い。送風方向制御部２１ａは、ＲＭＳ誤差ΘＲＭＳＥに代えて、Ｎ個の差分値ΘＥの平均値を所定の閾値Θｔｈと比較するものであっても良い。送風風量制御部２２ａは、ＲＭＳ誤差ＶＲＭＳＥに代えて、Ｎ個の差分値ＶＥの平均値を所定の閾値Ｖｔｈと比較するものであっても良い。 Incidentally, the blowing direction control unit 21a, instead of the RMS error [Phi RMSE, may be configured to compare the average value of N difference values [Phi E with a predetermined threshold Faith. Airflow direction control unit 21a, instead of the RMS error theta RMSE, may be configured to compare the average value of N difference values theta E with a predetermined threshold .theta.TH. Blowing air volume control unit 22a, instead of the RMS error V RMSE, may be configured to compare the average value of N difference values V E with a predetermined threshold Vth.
　また、補正制御は、送風方向ΦＢ，ΘＢのみを対象とするものであっても良い。すなわち、送風風量ＶＢは、補正制御の対象から除外されたものであっても良い。この場合、風計測処理における風速値ＶＬの算出は不要である。また、図１８に示すステップＳＴ１４，ＳＴ１７の処理は不要である。ただし、粒子誘導用送風制御による誘導の精度を向上する観点から、送風風量ＶＢを補正制御の対象に含めるのがより好適である。 Further, the correction control may be intended only for the ventilation directions Φ B and Θ B. That is, the air volume V B may be excluded from the target of correction control. In this case, it is not necessary to calculate the wind speed value VL in the wind measurement process. Further, the processing of steps ST14 and ST17 shown in FIG. 18 is unnecessary. However, from the viewpoint of improving the accuracy of guidance by the blower control for particle guidance, it is more preferable to include the blower air volume V B in the correction control target.
　また、補正制御は、第１送風方向ΦＢのみを対象とするものであっても良い。すなわち、第２送風方向ΘＢ及び送風風量ＶＢは、補正制御の対象から除外されたものであっても良い。この場合、上記式（４）におけるＶｗ×ｓｉｎθの項は不要である。これにより、上記式（４）における変数の個数が２個になるため（すなわちＶｕ及びＶｖ）、個々の風計測対象領域Ａ６に対応する風計測対象地点Ｐｒの個数は２個であっても良い（すなわちＭ＝２）。ただし、粒子誘導用送風制御による誘導の精度を向上する観点から、第２送風方向ΘＢ及び送風風量ＶＢを補正制御の対象に含めるのがより好適である。 Further, the correction control may be intended only for the first blowing direction Φ B. That is, the second blowing direction Θ B and the blowing air volume V B may be excluded from the target of the correction control. In this case, the term of Vw × sinθ in the above equation (4) is unnecessary. As a result, the number of variables in the above equation (4) becomes two (that is, Vu and Vv), so that the number of wind measurement target points Pr corresponding to the individual wind measurement target regions A6 may be two. (That is, M = 2). However, from the viewpoint of improving the accuracy of induction by blowing control particles derived, it is more preferable to include a second blowing direction theta B and the blower air volume V B to be corrected control.
　また、送風制御部２３ａは、第２粒子密度算出部２５により出力された第２粒子密度分布情報を用いて、高密度の検知対象粒子が存在する領域（すなわち閾値ρｔｈ２以上の第２密度値ρ２を有する第２粒子検知対象領域Ａ２に対応する領域）を風計測対象領域Ａ６に設定するものであっても良い。これにより、高密度の検知対象粒子が存在する領域における風向値ΦＬ，ΘＬ及び風速値ＶＬに基づく補正制御を実行することができる。 Further, the ventilation control unit 23a uses the second particle density distribution information output by the second particle density calculation unit 25 to use the region in which the high-density detection target particles exist (that is, the second density value ρ2 having a threshold value ρth2 or more). The region corresponding to the second particle detection target region A2 having the above) may be set in the wind measurement target region A6. Thus, it is possible to perform the correction control based on the wind direction value [Phi L, theta L and wind speed value V L in the area where high density detection target particles are present.
　また、ライダ１７は、パルス式のドップラーライダにより構成されているものであっても良い。これにより、ライダ１７が１個の視線方向Ｄにレーザ光Ｌを出力したとき、この視線方向Ｄに沿うように配列された複数個の風計測対象地点Ｐｒの各々における視線方向風速値Ｖｒを取得することができる。したがって、図１９に示す如く、この視線方向Ｄに沿うように配列された複数個の風計測対象領域Ａ６を一度に設定することができる。 Further, the rider 17 may be configured by a pulse type Doppler lidar. As a result, when the rider 17 outputs the laser beam L in one line-of-sight direction D, the line-of-sight direction wind speed value Vr at each of the plurality of wind measurement target points Pr arranged along the line-of-sight direction D is acquired. can do. Therefore, as shown in FIG. 19, a plurality of wind measurement target regions A6 arranged along the line-of-sight direction D can be set at one time.
　そのほか、空気調和機２００ａは、実施の形態１にて説明したものと同様の種々の変形例を採用することができる。また、粒子除去システム５００ａは、実施の形態１にて説明したものと同様の種々の変形例を採用することができる。 In addition, the air conditioner 200a can employ various modifications similar to those described in the first embodiment. Further, as the particle removing system 500a, various modifications similar to those described in the first embodiment can be adopted.
　以上のように、実施の形態２に係る空気調和機２００ａは、ライダ１７を用いて、空気調和対象空間Ｓ１における風向値ΦＬ，ΘＬを算出する風計測処理部２９を備え、送風制御部２３ａは、密度値ρ及び風向値ΦＬ，ΘＬを用いて、送風方向ΦＢ，ΘＢを制御する。送風方向ΦＢ，ΘＢを対象とする補正制御により、粒子誘導用送風制御による誘導の精度を向上することができる。 As described above, the air conditioner 200a according to the second embodiment includes a wind measurement processing unit 29 that calculates the wind direction values Φ L and Θ L in the air harmonization target space S1 by using the rider 17, and is a blow control unit. 23a controls the blowing directions Φ B and Θ B by using the density value ρ and the wind direction values Φ L and Θ L. The correction control for the blowing directions Φ B and Θ B can improve the accuracy of guidance by the blowing control for particle guidance.
　また、空気調和機２００ａは、ライダ１７を用いて、空気調和対象空間Ｓ１における風向値ΦＬ，ΘＬ及び風速値ＶＬを算出する風計測処理部２９を備え、送風制御部２３ａは、密度値ρ並びに風向値ΦＬ，ΘＬ及び風速値ＶＬを用いて、送風方向ΦＢ，ΘＢ及び送風風量ＶＢを制御する。送風方向ΦＢ，ΘＢ及び送風風量ＶＢを対象とする補正制御により、粒子誘導用送風制御による誘導の精度を更に向上することができる。 The air conditioner 200a, using the rider 17, with the wind measurement processing unit 29 for calculating the air-conditioning target space S1 wind direction value [Phi L, a theta L and wind speed value V L, the blower control unit 23a, the density The blowing direction Φ B , Θ B and the blowing air volume V B are controlled by using the value ρ, the wind direction value Φ L , Θ L, and the wind speed value VL . By the correction control for the blowing direction Φ B , Θ B and the blowing air volume V B , the accuracy of the guidance by the blowing control for particle guidance can be further improved.
実施の形態３．
　図２０は、実施の形態３に係る空気調和機を含む粒子除去システムの要部を示すブロック図である。図２１は、実施の形態３に係る空気調和機の室内機の要部を示すブロック図である。図２０及び図２１を参照して、実施の形態３に係る空気調和機を含む粒子除去システムについて説明する。 Embodiment 3.
FIG. 20 is a block diagram showing a main part of the particle removal system including the air conditioner according to the third embodiment. FIG. 21 is a block diagram showing a main part of the indoor unit of the air conditioner according to the third embodiment. A particle removal system including an air conditioner according to a third embodiment will be described with reference to FIGS. 20 and 21.
　なお、図２０において、図１に示すブロックと同様のブロックには同一符号を付して説明を省略する。また、図２１において、図２に示すブロックと同様のブロックには同一符号を付して説明を省略する。 In FIG. 20, the same blocks as those shown in FIG. 1 are designated by the same reference numerals, and the description thereof will be omitted. Further, in FIG. 21, the same blocks as those shown in FIG. 2 are designated by the same reference numerals, and the description thereof will be omitted.
　図２０に示す如く、空気調和機２００ｂ、換気装置３００及び空気清浄機４００により、粒子除去システム５００ｂの要部が構成されている。 As shown in FIG. 20, the main part of the particle removal system 500b is composed of the air conditioner 200b, the ventilation device 300, and the air purifier 400.
　実施の形態１にて説明したとおり、ライダ１７は、空気調和対象空間Ｓ１内を走査することにより、複数個の視線方向Ｄの各々における距離－強度特性Ｐ（Ｚ）を取得するものである。これに加えて、ライダ１７は、当該走査により、いわゆる「強度画像」及び「距離画像」を取得するものである。強度画像における各画素は、当該画素に対応する視線方向Ｄにレーザ光Ｌを出力することにより得られた受信信号の強度値（例えば受信強度Ｐ）を示すものである。距離画像における各画素は、当該画素に対応する視線方向Ｄにレーザ光Ｌを出力することにより得られた距離値を示すものである。ライダ１７は、当該取得された強度画像を示す画像情報（以下「強度画像情報」という。）、及び当該取得された距離画像を示す画像情報（以下「距離画像情報」）を出力するものである。以下、ライダ１７により取得される画像を総称して「ライダ画像」ということがある。 As described in the first embodiment, the rider 17 acquires the distance-intensity characteristic P (Z) in each of the plurality of line-of-sight directions D by scanning in the air-conditioning target space S1. In addition to this, the rider 17 acquires so-called "intensity image" and "distance image" by the scanning. Each pixel in the intensity image indicates an intensity value (for example, reception intensity P) of a received signal obtained by outputting the laser beam L in the line-of-sight direction D corresponding to the pixel. Each pixel in the distance image indicates a distance value obtained by outputting the laser beam L in the line-of-sight direction D corresponding to the pixel. The rider 17 outputs image information indicating the acquired intensity image (hereinafter referred to as “intensity image information”) and image information indicating the acquired distance image (hereinafter referred to as “distance image information”). .. Hereinafter, the images acquired by the rider 17 may be collectively referred to as “rider images”.
　物体検知処理部３０は、ライダ１７により出力された強度画像情報及び距離画像情報を用いて、空気調和対象空間Ｓ１における物体Ｏを検知する処理（以下「物体検知処理」という。）を実行するものである。検知対象となる物体Ｏは、例えば、人及び家具を含むものである。物体検知処理の具体例は以下のとおりである。 The object detection processing unit 30 executes a process of detecting an object O in the air harmonized target space S1 (hereinafter referred to as “object detection process”) using the intensity image information and the distance image information output by the rider 17. Is. The object O to be detected includes, for example, a person and furniture. Specific examples of the object detection process are as follows.
　物体Ｏは、いわゆる「ハードターゲット」である。そこで、まず、物体検知処理部３０は、強度画像に対する閾値処理を実行することにより、ライダ画像におけるハードターゲットに対応する画素群を抽出する。通常、ハードターゲットに対応する画素群に含まれる個々の画素の強度値は、他の画素の強度値に対して１０４倍程度大きいものである。このため、強度画像に対する閾値処理を実行することにより、ライダ画像におけるハードターゲットに対応する画素群を抽出することができる。 The object O is a so-called "hard target". Therefore, first, the object detection processing unit 30 extracts the pixel group corresponding to the hard target in the rider image by executing the threshold value processing on the intensity image. Usually, the intensity value of each pixel included in the pixel group corresponding to a hard target is one of about 104 times larger than the intensity values of other pixels. Therefore, by executing the threshold processing on the intensity image, the pixel group corresponding to the hard target in the rider image can be extracted.
　物体検知処理部３０は、ライダ画像における当該抽出された画素群の座標値、及び距離画像における当該抽出された画素群の距離値に基づき、空気調和対象空間Ｓ１における個々の物体Ｏの三次元位置を算出する。すなわち、強度画像に加えて距離画像を用いることにより、ｘ方向及びｚ方向に対する物体Ｏの位置を算出することができるのはもちろんのこと、ｙ方向に対する物体Ｏの位置を算出することができる。 The object detection processing unit 30 is based on the coordinate values of the extracted pixel group in the rider image and the distance value of the extracted pixel group in the distance image, and the three-dimensional position of each object O in the air conditioning target space S1. Is calculated. That is, by using the distance image in addition to the intensity image, it is possible to calculate the position of the object O in the x direction and the z direction, as well as the position of the object O in the y direction.
　次いで、物体検知処理部３０は、強度画像又は距離画像に対するパターンマッチング処理を実行することにより、当該抽出された画素群が人に対応するものであるか否かを判定する。これにより、個々の物体Ｏが人であるか否かが判別される。また、物体検知処理部３０は、強度画像又は距離画像に対するパターンマッチング処理を実行することにより、当該抽出された画素群が家具に対応するものであるか否かを判定する。これにより、個々の物体Ｏが家具であるか否かが判別される。 Next, the object detection processing unit 30 determines whether or not the extracted pixel group corresponds to a person by executing pattern matching processing on the intensity image or the distance image. As a result, it is determined whether or not each object O is a person. Further, the object detection processing unit 30 determines whether or not the extracted pixel group corresponds to furniture by executing pattern matching processing on the intensity image or the distance image. As a result, it is determined whether or not each object O is furniture.
　物体検知処理部３０は、物体検知処理の結果を示す情報（以下「物体検知結果情報」という。）を送風制御部２３に出力する。送風制御部２３は、物体検知処理部３０により出力された物体検知結果情報を粒子誘導用送風制御に用いる。より具体的には、送風制御部２３は、当該出力された物体検知結果情報を風向風速モデルＭの選択に用いる。 The object detection processing unit 30 outputs information indicating the result of the object detection processing (hereinafter referred to as “object detection result information”) to the ventilation control unit 23. The blast control unit 23 uses the object detection result information output by the object detection processing unit 30 for the particle guidance blast control. More specifically, the blower control unit 23 uses the output object detection result information for selecting the wind direction and speed model M.
　例えば、物体検知処理部３０は、空気調和対象空間Ｓ１内に人がいる場合、粒子誘導用送風制御において、当該人を回避するような気流ＡＦを実現可能な風向風速モデルＭを選択する。当該選択された風向風速モデル（すなわち選択風向風速モデル）Ｍに対応する風向風速モデルテーブル（すなわち選択風向風速モデルテーブル）Ｔに基づく粒子誘導用送風制御により、図２２に示す如く、当該人（図中Ｈ）を回避する気流ＡＦが発生する。これにより、検知対象粒子（図中ＰＭ）が当該人により吸入されるのを回避することができる。 For example, when a person is in the air-conditioning target space S1, the object detection processing unit 30 selects a wind direction and speed model M capable of realizing an airflow AF that avoids the person in the particle guidance ventilation control. As shown in FIG. 22, the person (FIG. 22) is controlled by blowing air for particle guidance based on the wind direction wind speed model table (that is, the selected wind direction wind speed model table) T corresponding to the selected wind direction wind speed model (that is, the selected wind direction wind speed model) M. Airflow AF that avoids medium H) is generated. As a result, it is possible to prevent the particles to be detected (PM in the figure) from being inhaled by the person concerned.
　また、物体検知処理部３０は、空気調和対象空間Ｓ１内に家具がある場合、粒子誘導用送風制御において、当該家具を回避するような気流ＡＦを実現可能な風向風速モデルＭを選択する。当該選択された風向風速モデル（すなわち選択風向風速モデル）Ｍに対応する風向風速モデルテーブル（すなわち選択風向風速モデルテーブル）Ｔに基づく粒子誘導用送風制御により、図２２に示す如く、当該家具（図中Ｆ）を回避する気流ＡＦが生成される。これにより、検知対象粒子（図中ＰＭ）が当該家具に付着するのを回避することができる。 Further, when the object detection processing unit 30 has furniture in the air harmonization target space S1, the object detection processing unit 30 selects the wind direction wind speed model M capable of realizing the airflow AF that avoids the furniture in the airflow control for particle guidance. As shown in FIG. 22, the furniture (FIG. 22) is controlled by blowing air for particle guidance based on the wind direction wind speed model table (that is, the selected wind direction wind speed model table) T corresponding to the selected wind direction wind speed model (that is, the selected wind direction wind speed model) M. An airflow AF that avoids middle F) is generated. As a result, it is possible to prevent the particles to be detected (PM in the figure) from adhering to the furniture.
　送風制御部２３、粒子検知処理部２６、物体検知処理部３０及び通信制御部３１により、制御装置１００ｂの要部が構成されている。第１風向板１１、第２風向板１２、送風ファン１３、駆動モータ１４、駆動モータ１５、駆動モータ１６、ライダ１７、通信装置１９及び制御装置１００ｂにより、室内機１ｂの要部が構成されている。室内機１ｂ及び室外機２により、空気調和機２００ｂの要部が構成されている。 The main part of the control device 100b is composed of the blast control unit 23, the particle detection processing unit 26, the object detection processing unit 30, and the communication control unit 31. The main part of the indoor unit 1b is composed of the first wind direction plate 11, the second wind direction plate 12, the blower fan 13, the drive motor 14, the drive motor 15, the drive motor 16, the rider 17, the communication device 19, and the control device 100b. There is. The indoor unit 1b and the outdoor unit 2 form a main part of the air conditioner 200b.
　制御装置１００ｂの要部のハードウェア構成は、実施の形態１にて図８を参照して説明したものと同様であるため、図示及び説明を省略する。すなわち、送風制御部２３、粒子検知処理部２６、物体検知処理部３０及び通信制御部３１の機能は、プロセッサ４１及びメモリ４２により実現されるものであっても良く、又は専用の処理回路４３により実現されるものであっても良い。 Since the hardware configuration of the main part of the control device 100b is the same as that described with reference to FIG. 8 in the first embodiment, the illustration and description will be omitted. That is, the functions of the blower control unit 23, the particle detection processing unit 26, the object detection processing unit 30, and the communication control unit 31 may be realized by the processor 41 and the memory 42, or may be realized by the dedicated processing circuit 43. It may be realized.
　次に、図２３のフローチャートを参照して、制御装置１００ｂの動作について、粒子検知処理、作動開始指示制御、物体検知処理及び粒子誘導用送風制御を中心に説明する。なお、図２３において、図９Ａに示すステップと同様のステップには同一符号を付して説明を省略する。 Next, with reference to the flowchart of FIG. 23, the operation of the control device 100b will be described focusing on particle detection processing, operation start instruction control, object detection processing, and air blow control for particle guidance. In FIG. 23, the same steps as those shown in FIG. 9A are designated by the same reference numerals, and the description thereof will be omitted.
　まず、ステップＳＴ１，ＳＴ２の処理が実行される。ステップＳＴ２“ＹＥＳ”と判定された場合、ステップＳＴ３の処理が実行される。 First, the processes of steps ST1 and ST2 are executed. If it is determined that step ST2 is “YES”, the process of step ST3 is executed.
　次いで、ステップＳＴ２１にて、物体検知処理部３０が物体検知処理を実行する。物体検知処理の具体例は上記のとおりであるため、再度の説明は省略する。物体検知処理部３０は、物体検知結果情報を送風制御部２３に出力する。 Next, in step ST21, the object detection processing unit 30 executes the object detection process. Since the specific example of the object detection process is as described above, the description thereof will be omitted again. The object detection processing unit 30 outputs the object detection result information to the ventilation control unit 23.
　次いで、ステップＳＴ４ａにて、送風制御部２３が粒子誘導用送風制御を開始する。このとき、送風制御部２３は、物体検知処理部３０により出力された物体検知結果情報を風向風速モデルＭの選択に用いる。粒子誘導用送風制御の具体例は上記のとおりであるため、再度の説明は省略する。 Next, in step ST4a, the blower control unit 23 starts the blower control for particle guidance. At this time, the blast control unit 23 uses the object detection result information output by the object detection processing unit 30 to select the wind direction and speed model M. Since the specific example of the blower control for particle induction is as described above, the description thereof will be omitted again.
　ステップＳＴ４ａにて粒子誘導用送風制御が開始された後、ステップＳＴ５～ＳＴ８の処理が実行される。これらの処理については、実施の形態１にて図９Ｂを参照して説明したものと同様であるため、図示及び説明を省略する。 After the particle induction ventilation control is started in step ST4a, the processes of steps ST5 to ST8 are executed. Since these processes are the same as those described with reference to FIG. 9B in the first embodiment, illustration and description thereof will be omitted.
　なお、物体検知処理による検知対象となる物体Ｏは、人及び家具に限定されるものではない。例えば、物体検知処理部３０は、物体検知処理を実行することにより、空気調和対象空間Ｓ１における壁を検知するとともに、当該壁における開放状態の窓を検知するものであっても良い。また、物体検知結果情報の用途は、風向風速モデルＭの選択に限定されるものではない。例えば、送風制御部２３は、物体検知結果情報を粒子誘導対象領域Ａ４の設定に用いるものであっても良い。 The object O to be detected by the object detection process is not limited to people and furniture. For example, the object detection processing unit 30 may detect a wall in the air-conditioning target space S1 and also detect an open window in the wall by executing the object detection process. Further, the use of the object detection result information is not limited to the selection of the wind direction and wind speed model M. For example, the ventilation control unit 23 may use the object detection result information for setting the particle guidance target region A4.
　すなわち、図２４に示す如く、空気調和機２００ｂにより粒子除去システム５００ｂの要部が構成されているものであっても良い。換言すれば、粒子除去システム５００ｂに換気装置３００が含まれておらず、かつ、粒子除去システム５００ｂに空気清浄機４００が含まれていないものであっても良い。このとき、図２５に示す如く、送風制御部２３は、物体検知結果情報を用いて、開放状態の窓（図中ＯＷ）に対応する領域（図中Ａ４＿３）を粒子誘導対象領域Ａ４に設定するものであっても良い。 That is, as shown in FIG. 24, the main part of the particle removal system 500b may be configured by the air conditioner 200b. In other words, the particle removal system 500b may not include the ventilation device 300, and the particle removal system 500b may not include the air purifier 400. At this time, as shown in FIG. 25, the ventilation control unit 23 sets the region (A4_3 in the figure) corresponding to the open window (OW in the figure) to the particle guidance target region A4 by using the object detection result information. It may be a thing.
　また、図２６又は図２８に示す如く、制御装置１００ｂは、風計測処理部２９を有するものであっても良い。また、制御装置１００ｂは、送風制御部２３に代えて送風制御部２３ａを有するものであっても良い。この場合、送風制御部２３ａは、物体検知結果情報を風向風速モデルＭの選択などに用いるものであっても良い。 Further, as shown in FIG. 26 or FIG. 28, the control device 100b may have a wind measurement processing unit 29. Further, the control device 100b may have a blast control unit 23a instead of the blast control unit 23. In this case, the blower control unit 23a may use the object detection result information for selecting the wind direction and speed model M and the like.
　また、図２７又は図２８に示す如く、室内機１ｂにカメラ１８が設けられているものであっても良い。カメラ１８は、空気調和対象空間Ｓ１内を撮像するものである。物体検知処理部３０は、ライダ画像に代えて、カメラ１８により撮像された画像（以下「カメラ画像」という。）を物体検知処理に用いるものであっても良い。 Further, as shown in FIG. 27 or FIG. 28, the camera 18 may be provided in the indoor unit 1b. The camera 18 images the inside of the air-conditioning target space S1. The object detection processing unit 30 may use an image captured by the camera 18 (hereinafter referred to as “camera image”) for the object detection processing instead of the rider image.
　ここで、カメラ１８は、ステレオカメラ又は単眼カメラにより構成されている。カメラ１８がステレオカメラにより構成されている場合、カメラ画像を用いてカメラ１８と物体Ｏ間の距離を測定することができる。これにより、ｙ方向に対する物体Ｏの位置を算出することができる。他方、カメラ１８が単眼カメラにより構成されている場合、カメラ画像を用いるのに加えて、いわゆる「機械学習」の結果を用いることにより、カメラ１８と物体Ｏ間の距離を測定することができる。これにより、ｙ方向に対する物体Ｏの位置を算出することができる。 Here, the camera 18 is composed of a stereo camera or a monocular camera. When the camera 18 is composed of a stereo camera, the distance between the camera 18 and the object O can be measured using the camera image. As a result, the position of the object O with respect to the y direction can be calculated. On the other hand, when the camera 18 is composed of a monocular camera, the distance between the camera 18 and the object O can be measured by using the result of so-called "machine learning" in addition to using the camera image. As a result, the position of the object O with respect to the y direction can be calculated.
　また、室内機１ｂにカメラ１８が設けられているとき、物体検知処理部３０は、ライダ画像に加えてカメラ画像を物体検知処理に用いるものであっても良い。物体検知処理に用いられる画像の種類を増やすことにより、物体検知処理の精度を向上することができる。 Further, when the camera 18 is provided in the indoor unit 1b, the object detection processing unit 30 may use the camera image for the object detection processing in addition to the rider image. By increasing the types of images used in the object detection process, the accuracy of the object detection process can be improved.
　また、粒子検知処理部２６は、物体検知結果情報を用いて、空気調和対象空間Ｓ１内の人の位置に対応する領域を、粒子検知処理の対象となる領域（すなわち第１粒子検知対象領域Ａ１及び第２粒子検知対象領域Ａ２）に設定するものであっても良い。これにより、当該人の位置に対応する領域における密度値ρを算出することができる。 Further, the particle detection processing unit 26 uses the object detection result information to set a region corresponding to the position of a person in the air harmonization target space S1 as a region to be subject to particle detection processing (that is, a first particle detection target region A1). And may be set in the second particle detection target area A2). As a result, the density value ρ in the region corresponding to the position of the person concerned can be calculated.
　また、制御装置１００ｂが風計測処理部２９を有するものである場合、風計測処理部２９は、物体検知結果情報を用いて、空気調和対象空間Ｓ１内の人の位置に対応する領域を、風計測処理の対象となる領域（すなわち風計測対象領域Ａ６）に設定するものであっても良い。これにより、当該人の位置に対応する領域における風向値ΦＬ，ΘＬ及び風速値ＶＬを算出することができる。なお、空気調和対象空間Ｓ１内に複数人の人がいる場合、例えば、各人の位置を中心とする所定範囲（例えば半径１メートルの範囲）内の領域が風計測処理の対象に設定されるものであっても良い。 When the control device 100b has a wind measurement processing unit 29, the wind measurement processing unit 29 uses the object detection result information to create a region corresponding to the position of a person in the air conditioning target space S1. It may be set in the area to be measured (that is, the wind measurement target area A6). Thus, it is possible to calculate the wind direction value [Phi L, theta L and wind speed value V L in the region corresponding to the position of the person. When there are a plurality of people in the air conditioning target space S1, for example, a region within a predetermined range (for example, a range with a radius of 1 meter) centered on the position of each person is set as the target of the wind measurement process. It may be a thing.
　そのほか、空気調和機２００ｂは、実施の形態１，２にて説明したものと同様の種々の変形例を採用することができる。例えば、粒子誘導用送風制御は、送風方向ΦＢ，ΘＢのみを対象とするものであっても良い。この場合、風計測処理は、風向値ΦＬ，ΘＬのみを対象とするものであっても良い。また、補正制御は、送風方向ΦＢ，ΘＢのみを対象とするものであっても良い。 In addition, the air conditioner 200b can employ various modifications similar to those described in the first and second embodiments. For example, the air blow control for particle induction may be intended only for the air blow directions Φ B and Θ B. In this case, the wind measurement process may be intended only for the wind direction values Φ L and Θ L. Further, the correction control may be intended only for the ventilation directions Φ B and Θ B.
　以上のように、実施の形態３に係る空気調和機２００ｂは、ライダ１７又はカメラ１８を用いて、空気調和対象空間Ｓ１における物体Ｏの位置を算出するとともに、物体Ｏを判別する物体検知処理部３０を備え、送風制御部２３又は送風制御部２３ａは、物体検知処理部３０による算出結果及び判別結果に基づき、送風方向ΦＢ，ΘＢを制御する。これにより、例えば、人及び家具を回避した気流ＡＦを空気調和対象空間Ｓ１内に発生させることができる。 As described above, the air conditioner 200b according to the third embodiment uses the rider 17 or the camera 18 to calculate the position of the object O in the air conditioning target space S1 and the object detection processing unit for discriminating the object O. The blower control unit 23 or the blower control unit 23a controls the blower directions Φ B and Θ B based on the calculation result and the determination result by the object detection processing unit 30. Thereby, for example, the airflow AF avoiding people and furniture can be generated in the air conditioning target space S1.
　また、送風制御部２３又は送風制御部２３ａは、物体検知処理部３０により物体Ｏが人又は家具であると判別された場合、送風方向ΦＢ，ΘＢを制御することにより、検知対象粒子が物体Ｏを回避する気流ＡＦを発生させる。これにより、検知対象粒子が人により吸入されるのを回避することができる。また、検知対象粒子が家具に付着するのを回避することができる。 Further, when the object detection processing unit 30 determines that the object O is a person or furniture, the airflow control unit 23 or the airflow control unit 23a controls the airflow directions Φ B and Θ B to detect the particles to be detected. An airflow AF that avoids the object O is generated. As a result, it is possible to prevent the particles to be detected from being inhaled by a person. In addition, it is possible to prevent the particles to be detected from adhering to the furniture.
　また、空気調和機２００ｂは、ライダ１７又はカメラ１８を用いて、空気調和対象空間Ｓ１における物体Ｏの位置を算出するとともに、物体Ｏを判別する物体検知処理部３０を備え、送風制御部２３又は送風制御部２３ａは、物体検知処理部３０による算出結果及び判別結果に基づき、送風方向ΦＢ，ΘＢ及び送風風量ＶＢを制御する。これにより、例えば、人及び家具を回避した気流ＡＦを空気調和対象空間Ｓ１内に発生させることができる。 Further, the air conditioner 200b includes an object detection processing unit 30 that calculates the position of the object O in the air conditioning target space S1 and discriminates the object O by using the rider 17 or the camera 18, and is provided with the blower control unit 23 or The blower control unit 23a controls the blower directions Φ B , Θ B and the blower air volume V B based on the calculation result and the determination result by the object detection processing unit 30. Thereby, for example, the airflow AF avoiding people and furniture can be generated in the air conditioning target space S1.
　また、送風制御部２３又は送風制御部２３ａは、物体検知処理部３０により物体Ｏが人又は家具であると判別された場合、送風方向ΦＢ，ΘＢ及び送風風量ＶＢを制御することにより、検知対象粒子が物体Ｏを回避する気流ＡＦを発生させる。これにより、検知対象粒子が人により吸入されるのを回避することができる。また、検知対象粒子が家具に付着するのを回避することができる。 Further, when the object detection processing unit 30 determines that the object O is a person or furniture, the airflow control unit 23 or the airflow control unit 23a controls the airflow directions Φ B , Θ B and the airflow amount V B. , The particles to be detected generate an airflow AF that avoids the object O. As a result, it is possible to prevent the particles to be detected from being inhaled by a person. In addition, it is possible to prevent the particles to be detected from adhering to the furniture.
　また、送風制御部２３又は送風制御部２３ａは、空気調和対象空間Ｓ１における開放状態の窓に対応する領域を粒子誘導対象領域Ａ４に設定する。これにより、粒子除去システム５００ｂにおける換気装置３００及び空気清浄機４００を不要とすることができる。 Further, the blower control unit 23 or the blower control unit 23a sets the region corresponding to the open window in the air conditioning target space S1 to the particle guidance target region A4. As a result, the ventilation device 300 and the air purifier 400 in the particle removal system 500b can be eliminated.
実施の形態４．
　図２９は、実施の形態４に係る空気調和機を含む粒子除去システムの要部を示すブロック図である。図３０は、実施の形態４に係る空気調和機の室内機の要部を示すブロック図である。図２９及び図３０を参照して、実施の形態４に係る空気調和機を含む粒子除去システムについて説明する。 Embodiment 4.
FIG. 29 is a block diagram showing a main part of the particle removal system including the air conditioner according to the fourth embodiment. FIG. 30 is a block diagram showing a main part of the indoor unit of the air conditioner according to the fourth embodiment. A particle removal system including an air conditioner according to a fourth embodiment will be described with reference to FIGS. 29 and 30.
　なお、図２９において、図１に示すブロックと同様のブロックには同一符号を付して説明を省略する。また、図３０において、図２に示すブロックと同様のブロックには同一符号を付して説明を省略する。 Note that, in FIG. 29, the same blocks as those shown in FIG. 1 are designated by the same reference numerals, and the description thereof will be omitted. Further, in FIG. 30, the same reference numerals are given to blocks similar to the blocks shown in FIG. 2, and the description thereof will be omitted.
　図２９に示す如く、空気調和機２００ｃ、換気装置３００及び空気清浄機４００により、粒子除去システム５００ｃの要部が構成されている。 As shown in FIG. 29, the main part of the particle removal system 500c is composed of the air conditioner 200c, the ventilation device 300, and the air purifier 400.
　図３０に示す如く、室内機１ｃに紫外線照射装置２０が設けられている。紫外線照射装置２０は、空気調和対象空間Ｓ１内に紫外線を照射するものである。紫外線照射装置２０による紫外線の照射口は、例えば、室内機１ｃの前面部に設けられている。紫外線照射装置２０は、紫外線の照射方向が可変なものである。 As shown in FIG. 30, the indoor unit 1c is provided with the ultraviolet irradiation device 20. The ultraviolet irradiation device 20 irradiates the inside of the air conditioning target space S1 with ultraviolet rays. The ultraviolet irradiation port by the ultraviolet irradiation device 20 is provided, for example, on the front surface of the indoor unit 1c. The ultraviolet irradiation device 20 has a variable ultraviolet irradiation direction.
　紫外線照射制御部３２は、第２粒子密度算出部２５により出力された第２粒子密度分布情報を取得するものである。紫外線照射制御部３２は、当該取得された第２粒子密度分布情報に基づき、紫外線照射装置２０を用いて、空気調和対象空間Ｓ１における閾値ρｔｈ２以上の第２密度値ρ２を有する領域、すなわち空気調和対象空間Ｓ１における検知対象粒子が存在する領域に対して、紫外線を照射する制御（以下「紫外線照射制御」という。）を実行するものである。 The ultraviolet irradiation control unit 32 acquires the second particle density distribution information output by the second particle density calculation unit 25. Based on the acquired second particle density distribution information, the ultraviolet irradiation control unit 32 uses the ultraviolet irradiation device 20 to form a region having a second density value ρ2 equal to or higher than the threshold value ρth2 in the air harmonization target space S1, that is, air harmony. Control of irradiating the region where the detection target particles exist in the target space S1 with ultraviolet rays (hereinafter referred to as “ultraviolet irradiation control”) is executed.
　例えば、以下の参考文献２には、生物粒子の生存確率と生物粒子に照射された紫外線のエネルギー量との関係が記載されている。紫外線照射制御部３２は、生存確率が所定値以下となるエネルギー量に基づき、紫外線照射装置２０による紫外線の照射量を設定する。 For example, Reference 2 below describes the relationship between the survival probability of biological particles and the amount of energy of ultraviolet rays irradiated to the biological particles. The ultraviolet irradiation control unit 32 sets the amount of ultraviolet rays irradiated by the ultraviolet irradiation device 20 based on the amount of energy at which the survival probability is equal to or less than a predetermined value.
［参考文献２］
David Welch, Manuela Buonanno, Igor Shuryak, Gerhard Randers-Pehrson, Henry M. Spotnitz, and David J. Brenner, "Far-UVC light applications: sterilization of MRSA on a surface and inactivation of aerosolized influenza virus," Proceedings of SPIE, Vol.10479, 104791D, 2018. [Reference 2]
David Welch, Manuela Buonanno, Igor Shuryak, Gerhard Randers-Pehrson, Henry M. Spotnitz, and David J. Brenner, "Far-UVC light applications: sterilization of MRSA on a surface and inactivation of aerosolized influenza virus," Proceedings of SPIE, Vol.10479, 104791D, 2018.
　また、紫外線照射制御部３２は、第２粒子密度分布情報に基づき、紫外線照射装置２０による紫外線の照射方向を、閾値ρｔｈ２以上の第２密度値ρ２を有する領域に紫外線が照射される方向に設定する。 Further, the ultraviolet irradiation control unit 32 sets the irradiation direction of the ultraviolet rays by the ultraviolet irradiation device 20 in the direction in which the ultraviolet rays are irradiated to the region having the second density value ρ2 of the threshold value ρth2 or more based on the second particle density distribution information. To do.
　紫外線照射装置２０は、当該設定された照射量にて、当該設定された照射方向に紫外線を照射する。粒子検知処理により検知された粒子のうちの細菌、ウィルス及びカビなどに対して、かかる紫外線が照射されることにより、細菌、ウィルス又はカビなどの不活性化を図ることができる。 The ultraviolet irradiation device 20 irradiates ultraviolet rays in the set irradiation direction at the set irradiation amount. Bacteria, viruses, molds, etc. among the particles detected by the particle detection process can be inactivated by irradiating the ultraviolet rays.
　送風制御部２３、粒子検知処理部２６、通信制御部３１及び紫外線照射制御部３２により、制御装置１００ｃの要部が構成されている。第１風向板１１、第２風向板１２、送風ファン１３、駆動モータ１４、駆動モータ１５、駆動モータ１６、ライダ１７、通信装置１９、紫外線照射装置２０及び制御装置１００ｃにより、室内機１ｃの要部が構成されている。室内機１ｃ及び室外機２により、空気調和機２００ｃの要部が構成されている。 The main part of the control device 100c is composed of the ventilation control unit 23, the particle detection processing unit 26, the communication control unit 31, and the ultraviolet irradiation control unit 32. The indoor unit 1c is required by the first wind direction plate 11, the second wind direction plate 12, the blower fan 13, the drive motor 14, the drive motor 15, the drive motor 16, the rider 17, the communication device 19, the ultraviolet irradiation device 20, and the control device 100c. The part is composed. The indoor unit 1c and the outdoor unit 2 form a main part of the air conditioner 200c.
　制御装置１００ｃの要部のハードウェア構成は、実施の形態１にて図８を参照して説明したものと同様であるため、図示及び説明を省略する。すなわち、送風制御部２３、粒子検知処理部２６、通信制御部３１及び紫外線照射制御部３２の機能は、プロセッサ４１及びメモリ４２により実現されるものであっても良く、又は専用の処理回路４３により実現されるものであっても良い。 Since the hardware configuration of the main part of the control device 100c is the same as that described with reference to FIG. 8 in the first embodiment, the illustration and description will be omitted. That is, the functions of the ventilation control unit 23, the particle detection processing unit 26, the communication control unit 31, and the ultraviolet irradiation control unit 32 may be realized by the processor 41 and the memory 42, or by a dedicated processing circuit 43. It may be realized.
　次に、図３１のフローチャートを参照して、制御装置１００ｃの動作について、粒子検出処理及び紫外線照射処理を中心に説明する。 Next, with reference to the flowchart of FIG. 31, the operation of the control device 100c will be described focusing on the particle detection process and the ultraviolet irradiation process.
　まず、ステップＳＴ３１にて、粒子検知処理部２６が粒子検知処理を実行する。粒子検知処理の具体例は上記のとおりであるため、再度の説明は省略する。粒子検知処理部２６は、第２粒子密度分布情報を紫外線照射制御部３２に出力する。 First, in step ST31, the particle detection processing unit 26 executes the particle detection processing. Since the specific example of the particle detection process is as described above, the description thereof will be omitted again. The particle detection processing unit 26 outputs the second particle density distribution information to the ultraviolet irradiation control unit 32.
　次いで、ステップＳＴ３２にて、紫外線照射制御部３２は、粒子検知処理の結果に基づき、紫外線照射制御の実行要否を判定する。 Next, in step ST32, the ultraviolet irradiation control unit 32 determines whether or not the ultraviolet irradiation control needs to be executed based on the result of the particle detection process.
　例えば、閾値ρｔｈ２以上の第２密度値ρ２を有する第２粒子検知対象領域Ａ２の個数が所定個（例えば１個）以上である場合、紫外線照射制御部３２は、紫外線照射制御の実行が要であると判定する。他方、閾値ρｔｈ２以上の第２密度値ρ２を有する第２粒子検知対象領域Ａ２の個数が所定個未満である場合、送風制御部２３は、紫外線照射制御の実行が不要であると判定する。すなわち、紫外線照射制御の実行要否の判定基準は、粒子誘導用送風制御の実行要否の判定基準と同様の基準であっても良い。 For example, when the number of the second particle detection target regions A2 having the threshold value ρth2 or more and the second density value ρ2 is a predetermined number (for example, one) or more, the ultraviolet irradiation control unit 32 needs to execute the ultraviolet irradiation control. Judge that there is. On the other hand, when the number of the second particle detection target regions A2 having the threshold value ρth2 or more and the second density value ρ2 is less than a predetermined number, the ventilation control unit 23 determines that the execution of the ultraviolet irradiation control is unnecessary. That is, the criterion for determining the necessity of executing the ultraviolet irradiation control may be the same as the criterion for determining the necessity of executing the blower control for particle induction.
　紫外線照射制御の実行が要であると判定された場合（ステップＳＴ３２“ＹＥＳ”）、ステップＳＴ３３にて、紫外線照射制御が紫外線照射制御を実行する。紫外線照射制御の詳細については既に説明したとおりであるため、再度の説明は省略する。 When it is determined that the execution of the ultraviolet irradiation control is necessary (step ST32 “YES”), the ultraviolet irradiation control executes the ultraviolet irradiation control in step ST33. Since the details of the ultraviolet irradiation control have already been described, the description thereof will be omitted again.
　なお、図３２又は図３４に示す如く、制御装置１００ｃは、風計測処理部２９を有するものであっても良い。また、制御装置１００ｃは、送風制御部２３に代えて送風制御部２３ａを有するものであっても良い。 Note that, as shown in FIG. 32 or FIG. 34, the control device 100c may have a wind measurement processing unit 29. Further, the control device 100c may have a blast control unit 23a instead of the blast control unit 23.
　また、図３３又は図３４に示す如く、制御装置１００ｃは、物体検知処理部３０を有するものであっても良い。 Further, as shown in FIG. 33 or FIG. 34, the control device 100c may have an object detection processing unit 30.
　制御装置１００ｃに物体検知処理部３０が設けられている場合、紫外線照射制御部３２は、物体検知結果情報を紫外線の照射方向の設定に用いるものであっても良い。具体的には、例えば、紫外線照射制御部３２は、空気調和対象空間Ｓ１内に人がいるとき、紫外線照射装置２０による紫外線の照射方向を、当該人を回避した方向に設定する。これにより、当該人に紫外線が照射されるのを回避することができる。 When the object detection processing unit 30 is provided in the control device 100c, the ultraviolet irradiation control unit 32 may use the object detection result information for setting the ultraviolet irradiation direction. Specifically, for example, when a person is in the air conditioning target space S1, the ultraviolet irradiation control unit 32 sets the direction of irradiation of ultraviolet rays by the ultraviolet irradiation device 20 in a direction avoiding the person. As a result, it is possible to prevent the person from being irradiated with ultraviolet rays.
　また、制御装置１００ｃに物体検知処理部３０が設けられている場合、制御装置１００ｃにおいて、以下のような制御が実行されるものであっても良い。すなわち、紫外線照射装置２０により紫外線が照射される場合において、空気調和対象空間Ｓ１内に人がいるとき、制御装置１００ｃは、紫外線の照射を通知する音声又は退室を促す音声を、室内機１ｃ又はリモコン３に設けられているスピーカ（不図示）に出力させる制御を実行する。または、このとき、制御装置１００ｃは、かかる音声の出力を、通信装置１９と通信自在な携帯情報端末（不図示）であって、空気調和機２００ｃのユーザが所持している携帯情報端末に指示する制御を実行する。または、このとき、制御装置１００ｃは、紫外線の照射を通知する画像又は退室を促す画像の表示を、当該携帯情報端末に指示する制御を実行する。当該人が退室することにより、当該人に紫外線が照射されるのを回避することができる。 Further, when the object detection processing unit 30 is provided in the control device 100c, the following control may be executed in the control device 100c. That is, when ultraviolet rays are irradiated by the ultraviolet irradiation device 20, when there is a person in the air harmonization target space S1, the control device 100c emits a sound notifying the irradiation of ultraviolet rays or a sound prompting to leave the room, or the indoor unit 1c or Control to output to a speaker (not shown) provided on the remote controller 3 is executed. Alternatively, at this time, the control device 100c instructs the mobile information terminal (not shown) capable of communicating with the communication device 19 and possessed by the user of the air conditioner 200c to output such voice. Perform control. Alternatively, at this time, the control device 100c executes a control instructing the mobile information terminal to display an image notifying the irradiation of ultraviolet rays or an image prompting the user to leave the room. By leaving the room, it is possible to prevent the person from being irradiated with ultraviolet rays.
　制御装置１００ｃに物体検知処理部３０が設けられている場合、室内機１ｃにカメラ１８が設けられているものであっても良い（不図示）。物体検知処理部３０は、ライダ画像に代えて又は加えてカメラ画像を物体検知処理に用いるものであっても良い。 When the object detection processing unit 30 is provided in the control device 100c, the camera 18 may be provided in the indoor unit 1c (not shown). The object detection processing unit 30 may use the camera image in place of or in addition to the rider image for the object detection processing.
　また、粒子検知処理部２６は、第２粒子密度算出部２５を有しないものであっても良い。この場合、粒子検知処理部２６は、第１粒子密度分布情報を紫外線照射制御部３２に出力するものであっても良い。紫外線照射制御部３２は、第２密度値ρ２に代えて第１密度値ρ１を用いて、紫外線照射制御の実行要否を判定するとともに、紫外線照射制御を実行するものであっても良い。 Further, the particle detection processing unit 26 may not have the second particle density calculation unit 25. In this case, the particle detection processing unit 26 may output the first particle density distribution information to the ultraviolet irradiation control unit 32. The ultraviolet irradiation control unit 32 may use the first density value ρ1 instead of the second density value ρ2 to determine whether or not the ultraviolet irradiation control needs to be executed and to execute the ultraviolet irradiation control.
　そのほか、空気調和機２００ｃは、実施の形態１～３にて説明したものと同様の種々の変形例を採用することができる。例えば、粒子誘導用送風制御は、送風方向ΦＢ，ΘＢのみを対象とするものであっても良い。この場合、風計測処理は、風向値ΦＬ，ΘＬのみを対象とするものであっても良い。また、補正制御は、送風方向ΦＢ，ΘＢのみを対象とするものであっても良い。 In addition, the air conditioner 200c can employ various modifications similar to those described in the first to third embodiments. For example, the air blow control for particle induction may be intended only for the air blow directions Φ B and Θ B. In this case, the wind measurement process may be intended only for the wind direction values Φ L and Θ L. Further, the correction control may be intended only for the ventilation directions Φ B and Θ B.
　以上のように、実施の形態４の空気調和機２００ｃは、密度値ρに基づき、空気調和対象空間Ｓ１における検知対象粒子が存在する領域に紫外線を照射する。これにより、細菌、ウィルス又はカビなどの不活性化を図ることができる。 As described above, the air conditioner 200c of the fourth embodiment irradiates the region where the detection target particles exist in the air conditioning target space S1 with ultraviolet rays based on the density value ρ. This makes it possible to inactivate bacteria, viruses, molds and the like.
　なお、本願発明はその発明の範囲内において、各実施の形態の自由な組み合わせ、あるいは各実施の形態の任意の構成要素の変形、もしくは各実施の形態において任意の構成要素の省略が可能である。 In the present invention, within the scope of the invention, it is possible to freely combine each embodiment, modify any component of each embodiment, or omit any component in each embodiment. ..
　本発明の空気調和機、粒子除去システム及び制御方法は、ハウスダスト、塵、埃、細菌、ウィルス、カビ又はＰＭ２．５などの除去に用いることができる。 The air conditioner, particle removal system and control method of the present invention can be used for removing house dust, dust, dust, bacteria, viruses, mold, PM2.5 and the like.
　１，１ａ，１ｂ，１ｃ　室内機、２　室外機、３　リモートコントローラ（リモコン）、１１　第１風向板、１２　第２風向板、１３　送風ファン、１４　駆動モータ、１５　駆動モータ、１６　駆動モータ、１７　ライダ、１８　カメラ、１９　通信装置、２０　紫外線照射装置、２１，２１ａ　送風方向制御部、２２，２２ａ　送風風量制御部、２３，２３ａ　送風制御部、２４　第１粒子密度算出部、２５　第２粒子密度算出部、２６　粒子検知処理部、２７　風向値算出部、２８　風速値算出部、２９　風計測処理部、３０　物体検知処理部、３１　通信制御部、３２　紫外線照射制御部、４１　プロセッサ、４２　メモリ、４３　処理回路、１００，１００ａ，１００ｂ，１００ｃ　制御装置、２００，２００ａ，２００ｂ，２００ｃ　空気調和機、３００　換気装置、４００　空気清浄機、５００，５００ａ，５００ｂ，５００ｃ　粒子除去システム。 1,1a, 1b, 1c Indoor unit, 2 Outdoor unit, 3 Remote controller (remote control), 11 1st wind direction plate, 12 2nd wind direction plate, 13 Blower fan, 14 drive motor, 15 drive motor, 16 drive motor, 17 Rider, 18 camera, 19 communication device, 20 ultraviolet irradiation device, 21 and 21a ventilation direction control unit, 22, 22a ventilation control unit, 23, 23a ventilation control unit, 24 first particle density calculation unit, 25 second particle density Calculation unit, 26 particle detection processing unit, 27 wind direction value calculation unit, 28 wind speed value calculation unit, 29 wind measurement processing unit, 30 object detection processing unit, 31 communication control unit, 32 ultraviolet irradiation control unit, 41 processor, 42 memory, 43 Processing circuit, 100, 100a, 100b, 100c control device, 200, 200a, 200b, 200c air conditioner, 300 ventilation device, 400 air purifier, 500, 500a, 500b, 500c particle removal system.

Claims (19)

  1. 　ライダを用いて、空気調和対象空間における検知対象粒子の密度値を算出する粒子検知処理部と、
    　前記密度値を用いて、前記空気調和対象空間に対する送風方向を制御する送風制御部と、
    　を備える空気調和機。     A particle detection processing unit that calculates the density value of the particles to be detected in the air-conditioning target space using a rider,
    A blower control unit that controls the blower direction with respect to the air conditioning target space using the density value,
    Air conditioner equipped with.
  2. 　前記ライダを用いて、前記空気調和対象空間における風向値を算出する風計測処理部を備え、
    　前記送風制御部は、前記密度値及び前記風向値を用いて、前記送風方向を制御する
    　ことを特徴とする請求項１記載の空気調和機。     It is provided with a wind measurement processing unit that calculates the wind direction value in the air conditioning target space using the rider.
    The air conditioner according to claim 1, wherein the air blower control unit controls the air blower direction by using the density value and the wind direction value.
  3. 　前記粒子検知処理部は、複数個の第１粒子検知対象領域の各々における第１密度値を算出する第１粒子密度算出部と、前記第１密度値を空間的に平均化することにより、複数個の第２粒子検知対象領域の各々における第２密度値を算出する第２粒子密度算出部と、を有し、
    　前記送風制御部は、前記第２密度値を前記送風方向の制御に用いる
    　ことを特徴とする請求項１又は請求項２記載の空気調和機。     The particle detection processing unit is a plurality of first particle density calculation units that calculate the first density value in each of the plurality of first particle detection target regions, and a plurality of the first particle density value by spatially averaging the first density values. It has a second particle density calculation unit that calculates a second density value in each of the second particle detection target regions.
    The air conditioner according to claim 1 or 2, wherein the blower control unit uses the second density value for controlling the blower direction.
  4. 　前記送風制御部は、前記密度値を用いて、前記送風方向及び前記空気調和対象空間に対する送風風量を制御することを特徴とする請求項１記載の空気調和機。 The air conditioner according to claim 1, wherein the air conditioner controls the amount of air blown to the air conditioning direction and the air conditioning target space by using the density value.
  5. 　前記ライダを用いて、前記空気調和対象空間における風向値及び風速値を算出する風計測処理部を備え、
    　前記送風制御部は、前記密度値並びに前記風向値及び前記風速値を用いて、前記送風方向及び前記送風風量を制御する
    　ことを特徴とする請求項４記載の空気調和機。     A wind measurement processing unit for calculating a wind direction value and a wind speed value in the air conditioning target space using the rider is provided.
    The air conditioner according to claim 4, wherein the air blowing control unit controls the blowing direction and the blowing air volume by using the density value, the wind direction value, and the wind speed value.
  6. 　前記粒子検知処理部は、複数個の第１粒子検知対象領域の各々における第１密度値を算出する第１粒子密度算出部と、前記第１密度値を空間的に平均化することにより、複数個の第２粒子検知対象領域の各々における第２密度値を算出する第２粒子密度算出部と、を有し、
    　前記送風制御部は、前記第２密度値を前記送風方向及び前記送風風量の制御に用いる
    　ことを特徴とする請求項４又は請求項５記載の空気調和機。     The particle detection processing unit is a plurality of first particle density calculation units that calculate the first density value in each of the plurality of first particle detection target regions, and a plurality of the first particle density value by spatially averaging the first density values. It has a second particle density calculation unit that calculates a second density value in each of the second particle detection target regions.
    The air conditioner according to claim 4 or 5, wherein the blower control unit uses the second density value for controlling the blower direction and the blower amount.
  7. 　前記送風制御部は、前記送風方向を制御することにより、前記検知対象粒子を前記空気調和対象空間における粒子誘導対象領域に誘導することを特徴とする請求項１から請求項３のうちのいずれか１項記載の空気調和機。 Any one of claims 1 to 3, wherein the ventilation control unit guides the detection target particles to a particle guidance target region in the air conditioning target space by controlling the ventilation direction. The air conditioner according to item 1.
  8. 　前記送風制御部は、前記送風方向及び前記送風風量を制御することにより、前記検知対象粒子を前記空気調和対象空間における粒子誘導対象領域に誘導することを特徴とする請求項４から請求項６のうちのいずれか１項記載の空気調和機。 The fourth to sixth aspects of the present invention, wherein the ventilation control unit guides the detection target particles to the particle guidance target region in the air conditioning target space by controlling the ventilation direction and the ventilation volume. The air conditioner described in any one of them.
  9. 　前記送風制御部は、前記空気調和対象空間における換気装置の設置位置に対応する領域を前記粒子誘導対象領域に設定することを特徴とする請求項７又は請求項８記載の空気調和機。 The air conditioner according to claim 7 or 8, wherein the air blower control unit sets a region corresponding to an installation position of a ventilation device in the air conditioning target space in the particle guidance target region.
  10. 　前記送風制御部は、前記空気調和対象空間における空気清浄機の設置位置に対応する領域を前記粒子誘導対象領域に設定することを特徴とする請求項７又は請求項８記載の空気調和機。 The air conditioner according to claim 7 or 8, wherein the air blower control unit sets a region corresponding to the installation position of the air purifier in the air conditioning target space in the particle guidance target region.
  11. 　前記送風制御部は、前記空気調和対象空間における開放状態の窓に対応する領域を前記粒子誘導対象領域に設定することを特徴とする請求項７又は請求項８記載の空気調和機。 The air conditioner according to claim 7 or 8, wherein the air blower control unit sets a region corresponding to an open window in the air conditioning target space in the particle guidance target region.
  12. 　前記ライダ又はカメラを用いて、前記空気調和対象空間における物体の位置を算出するとともに、前記物体を判別する物体検知処理部を備え、
    　前記送風制御部は、前記物体検知処理部による算出結果及び判別結果に基づき、前記送風方向を制御する
    　ことを特徴とする請求項１から請求項３のうちのいずれか１項記載の空気調和機。     Using the rider or the camera, the position of the object in the air-conditioning target space is calculated, and the object detection processing unit for discriminating the object is provided.
    The air conditioner according to any one of claims 1 to 3, wherein the air blower control unit controls the air blower direction based on a calculation result and a determination result by the object detection processing unit. ..
  13. 　前記送風制御部は、前記物体検知処理部により前記物体が人又は家具であると判別された場合、前記送風方向を制御することにより、前記検知対象粒子が前記物体を回避する気流を発生させることを特徴とする請求項１２記載の空気調和機。 When the object detection processing unit determines that the object is a person or furniture, the ventilation control unit controls the ventilation direction to generate an air flow in which the detection target particles avoid the object. 12. The air conditioner according to claim 12.
  14. 　前記ライダ又はカメラを用いて、前記空気調和対象空間における物体の位置を算出するとともに、前記物体を判別する物体検知処理部を備え、
    　前記送風制御部は、前記物体検知処理部による算出結果及び判別結果に基づき、前記送風方向及び前記送風風量を制御する
    　ことを特徴とする請求項４から請求項６のうちのいずれか１項記載の空気調和機。     Using the rider or the camera, the position of the object in the air-conditioning target space is calculated, and the object detection processing unit for discriminating the object is provided.
    The invention according to any one of claims 4 to 6, wherein the air blowing control unit controls the air blowing direction and the air blowing amount based on the calculation result and the determination result by the object detection processing unit. Air conditioner.
  15. 　前記送風制御部は、前記物体検知処理部により前記物体が人又は家具であると判別された場合、前記送風方向及び前記送風風量を制御することにより、前記検知対象粒子が前記物体を回避する気流を発生させることを特徴とする請求項１４記載の空気調和機。 When the object detection processing unit determines that the object is a person or furniture, the air blowing control unit controls the air blowing direction and the air blowing amount so that the detection target particles avoid the object. The air conditioner according to claim 14, wherein the air conditioner is generated.
  16. 　前記密度値に基づき、前記空気調和対象空間における前記検知対象粒子が存在する領域に紫外線を照射することを特徴とする請求項１から請求項１５のうちのいずれか１項記載の空気調和機。 The air conditioner according to any one of claims 1 to 15, wherein the region where the detection target particles exist in the air conditioning target space is irradiated with ultraviolet rays based on the density value.
  17. 　請求項９記載の空気調和機と、前記換気装置と、を備える粒子除去システム。 A particle removal system including the air conditioner according to claim 9 and the ventilation device.
  18. 　請求項１０記載の空気調和機と、前記空気清浄機と、を備える粒子除去システム。 A particle removal system including the air conditioner according to claim 10 and the air purifier.
  19. 　空気調和機の制御方法であって、
    　粒子検知処理部が、ライダを用いて、空気調和対象空間における検知対象粒子の密度値を算出して、
    　送風制御部が、前記密度値を用いて、前記空気調和対象空間に対する送風方向を制御する
    　ことを特徴とする制御方法。     It is a control method for air conditioners.
    The particle detection processing unit uses a rider to calculate the density value of the particles to be detected in the air-conditioned space.
    A control method characterized in that the blower control unit controls the blower direction with respect to the air conditioning target space using the density value.
PCT/JP2019/027276 2019-07-10 2019-07-10 Air conditioner, particle removing system, and control method WO2021005736A1 (en)

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