CN114110963A - Air conditioner with intelligent adjusting function and control method - Google Patents
Air conditioner with intelligent adjusting function and control method Download PDFInfo
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- CN114110963A CN114110963A CN202111333244.8A CN202111333244A CN114110963A CN 114110963 A CN114110963 A CN 114110963A CN 202111333244 A CN202111333244 A CN 202111333244A CN 114110963 A CN114110963 A CN 114110963A
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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
- F24F11/62—Control or safety arrangements characterised by the type of control or by internal processing, e.g. using fuzzy logic, adaptive control or estimation of values
- F24F11/63—Electronic processing
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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
- F24F11/74—Control systems characterised by their outputs; Constructional details thereof for controlling the supply of treated air, e.g. its pressure for controlling air flow rate or air velocity
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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
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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
- F24F11/80—Control systems characterised by their outputs; Constructional details thereof for controlling the temperature of the supplied air
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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
- F24F2110/00—Control inputs relating to air properties
- F24F2110/10—Temperature
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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
- F24F2110/00—Control inputs relating to air properties
- F24F2110/20—Humidity
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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
- F24F2120/00—Control inputs relating to users or occupants
- F24F2120/10—Occupancy
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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
- F24F2120/00—Control inputs relating to users or occupants
- F24F2120/10—Occupancy
- F24F2120/12—Position of occupants
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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
- F24F2120/00—Control inputs relating to users or occupants
- F24F2120/10—Occupancy
- F24F2120/14—Activity of occupants
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- Y—GENERAL TAGGING OF NEW TECHNOLOGICAL DEVELOPMENTS; GENERAL TAGGING OF CROSS-SECTIONAL TECHNOLOGIES SPANNING OVER SEVERAL SECTIONS OF THE IPC; TECHNICAL SUBJECTS COVERED BY FORMER USPC CROSS-REFERENCE ART COLLECTIONS [XRACs] AND DIGESTS
- Y02—TECHNOLOGIES OR APPLICATIONS FOR MITIGATION OR ADAPTATION AGAINST CLIMATE CHANGE
- Y02B—CLIMATE CHANGE MITIGATION TECHNOLOGIES RELATED TO BUILDINGS, e.g. HOUSING, HOUSE APPLIANCES OR RELATED END-USER APPLICATIONS
- Y02B30/00—Energy efficient heating, ventilation or air conditioning [HVAC]
- Y02B30/70—Efficient control or regulation technologies, e.g. for control of refrigerant flow, motor or heating
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- Fuzzy Systems (AREA)
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- Air Conditioning Control Device (AREA)
Abstract
The invention belongs to the field of air conditioners, and particularly relates to an air conditioner with an intelligent adjusting function and a control method, wherein a temperature and humidity detection module in the air conditioner is used for detecting indoor environment temperature and indoor environment humidity and feeding back the indoor environment temperature and the indoor environment humidity to the control module; the human body state detection module detects state information of a user and feeds the state information back to the control module; the human body position detection module is used for detecting the position information of a user relative to the air outlet of the air conditioner and feeding the position information back to the control module; the control module stores a control algorithm program, the indoor environment temperature, the indoor environment humidity, the user state information and the position information of the user relative to the air outlet of the air conditioner are used as input values of the control algorithm program, the control algorithm program outputs a control strategy of the air conditioner, and the control module regulates and controls the air conditioner according to the output control strategy. The air conditioner and the control method can intelligently regulate and control the air conditioner according to the difference of the human body state, the human body position and the environment state, so that a user can feel comfortable in different states.
Description
Technical Field
The invention belongs to the field of air conditioners, and particularly relates to an air conditioner with an intelligent adjusting function and a control method.
Background
Along with the continuous development of intelligent technology, the air conditioner field is also being perfect and renewal constantly, and current air conditioner carries out manual regulation (means such as remote control, APP, pronunciation) to the temperature for the customer according to the demand of oneself mostly, can't accomplish that the machine is initiatively for the service. Although some air conditioners can achieve partial intellectualization, the air conditioners are generally single in regulation and control, such as tracking the position of a user to regulate and control the wind direction, and carrying out data recording according to the use habits of the user so as to regulate and control the environment temperature or judging the actions of the user so as to identify the comfort level of the experience of the user on the environment and further regulate and control the temperature. However, a comfortable space is formed by many factors, such as: environmental humidity, ambient temperature, human state and user's custom etc. consider the comfort level influence of multiple factor to the environment and adjust, are the direction that intelligent air conditioner needs the effort.
The present invention has been made in view of this situation.
Disclosure of Invention
The technical problem to be solved by the invention is to overcome the defects of the prior art and provide an air conditioner with an intelligent adjusting function and a control method, wherein the air conditioner can be intelligently adjusted and controlled according to different human body states, human body positions and environment states, so that a user can feel comfortable in different states.
In order to solve the technical problem, the invention provides an air conditioner with an intelligent adjusting function, which comprises a temperature and humidity detection module, a human body state detection module, a human body position detection module and a control module;
the temperature and humidity detection module is used for detecting the indoor environment temperature and the indoor environment humidity and feeding back the indoor environment temperature and the indoor environment humidity to the control module;
the human body state detection module is used for detecting state information of a user and feeding the state information back to the control module;
the human body position detection module is used for detecting the position information of a user relative to the air outlet of the air conditioner and feeding the position information back to the control module;
the control module stores a control algorithm program, the indoor environment temperature and the indoor environment humidity fed back by the temperature and humidity detection module, the state information of the user fed back by the human body state detection module and the position information of the user relative to the air outlet of the air conditioner fed back by the human body position detection module serve as input values of the control algorithm program, the control algorithm program outputs a control strategy of the air conditioner, and the control module regulates and controls the air conditioner according to the control strategy output by the control algorithm program.
Further optionally, the human body state detection module comprises
The human body temperature acquisition device is used for acquiring the body temperature of a user;
the human body motion capture device is used for capturing motion amplitude and motion frequency of a user;
the control module analyzes the body temperature of the user, the action amplitude and the action frequency of the user to determine the state of the user.
The invention also provides a control method of the air conditioner with the intelligent adjusting function, the air conditioner comprises an intelligent control mode, and after the air conditioner starts the intelligent control mode, the control method comprises the following steps:
acquiring indoor environment temperature and indoor environment humidity, and acquiring user state information and position information of a user relative to an air outlet of the air conditioner;
taking the indoor environment temperature, the indoor environment humidity, the user state information and the position information of the user relative to the air outlet of the air conditioner as input values of a control algorithm program, wherein the control algorithm program outputs a control strategy of the air conditioner;
and controlling the air conditioner to operate according to the control strategy.
Further optionally, the obtaining the user status information includes
Acquiring the body temperature of a user;
judging whether the body temperature is within a normal body temperature range, and if so, judging that the user is in a comfortable state; and if the temperature is not in the normal body temperature range, determining the state of the user by acquiring the action information of the user.
Further optionally, the determining the state of the user by the user obtaining the action information of the user comprises
Acquiring action information of a user, and analyzing action amplitude and action frequency of the user;
when the measured body temperature of the human body exceeds the normal body temperature range, when the action amplitude of the user is smaller than or equal to the set amplitude and the action frequency is smaller than or equal to the set frequency, determining that the current user is in a fever state; and when the action amplitude of the user is larger than the set amplitude and the action frequency is larger than the set frequency, determining that the current user is in a motion state.
Further optionally, the position information of the user relative to the air conditioner outlet includes a distance and an angle of the user relative to the air conditioner outlet.
Further optionally, the control strategy includes a regulation strategy for setting temperature, wind speed and wind direction.
Further optionally, the step of taking the indoor environment temperature, the indoor environment humidity, the user state information and the position information of the user relative to the air outlet of the air conditioner as input values of a control algorithm program, where the control algorithm program outputs a control strategy of the air conditioner, includes the step of
Let the ambient temperature be X1, the ambient humidity be X2, the human body state be X3, the human body orientation be X4, let the input be vector X, satisfy X ═ X1, X2, X3, X4 |;
let the set temperature be y 1; the wind speed is Y2, the wind direction is Y3, the output is a vector Y, and Y is Y1Y2Y 3;
the input vector X and the output vector Y satisfy the mapping relation: y ═ β (X) + ξ (X), where β (X) is the main trend function and ξ (X) is the correction function.
Further optionally, the mapping relationship: the establishment of Y ═ β (X) + ξ (X) includes:
performing an orthogonal experiment within an adjustable temperature range of the air conditioner to obtain a plurality of groups of experimental values of the vector X and the vector Y;
training the function Y ═ beta (X) + xi (X) through an experimental value; and obtaining the mapping relation between the vector X and the vector Y.
The present invention also proposes a control device of an air conditioner, comprising one or more processors and a non-transitory computer-readable storage medium storing program instructions, the one or more processors being configured to implement the method according to any one of the above when the one or more processors execute the program instructions.
The invention also proposes a non-transitory computer-readable storage medium having stored thereon program instructions for implementing a method according to any one of the above when the program instructions are executed by one or more processors.
The embodiment also provides an air conditioner which adopts the control method or adopts the control device or the non-transitory computer readable storage medium.
After adopting the technical scheme, compared with the prior art, the invention has the following beneficial effects:
due to the fact that the human body state (human body action state and human body temperature) and the human body position are different, requirements for refrigerating temperature, air quantity and wind direction are different, the refrigerating equipment intelligently adjusts refrigerating or heating temperature, air quantity and wind direction of air outlet in a proper temperature range through comprehensive consideration of the influence conditions, and users do not need to adjust setting manually repeatedly, and use experience of the users is improved.
The following describes embodiments of the present invention in further detail with reference to the accompanying drawings.
Drawings
The accompanying drawings, which are included to provide a further understanding of the invention, are incorporated in and constitute a part of this specification, illustrate embodiments of the invention and together with the description serve to explain the invention without limiting the invention to the right. It is obvious that the drawings in the following description are only some embodiments, and that for a person skilled in the art, other drawings can be derived from them without inventive effort. In the drawings:
FIG. 1: is a control system diagram of an air conditioner of an embodiment of the invention;
FIG. 2: a control flow chart of the air conditioner of the embodiment of the invention;
FIG. 3: the invention is a flow chart for determining the human body state.
It should be noted that the drawings and the description are not intended to limit the scope of the inventive concept in any way, but to illustrate it by a person skilled in the art with reference to specific embodiments.
Detailed Description
In the description of the present invention, it should be noted that the terms "inside", "outside", and the like indicate orientations or positional relationships based on the orientations or positional relationships shown in the drawings, which are only for convenience in describing the present invention and simplifying the description, but do not indicate or imply that the referred device or element must have a specific orientation, be constructed in a specific orientation, and operate, and thus, should not be construed as limiting the present invention.
In the description of the present invention, it should be noted that, unless otherwise explicitly specified or limited, the terms "mounted," "connected," "contacting," and "communicating" are to be construed broadly, e.g., as meaning fixedly connected, detachably connected, or integrally connected; can be mechanically or electrically connected; may be directly connected or indirectly connected through an intermediate. The specific meanings of the above terms in the present invention can be understood in specific cases to those skilled in the art.
Aiming at the problems that most of the existing air conditioners can not achieve intelligent adjustment by manually adjusting the temperature according to the needs of users (means such as remote control, APP, voice and the like), when the human body state changes (for example, the state is changed from static to running), the users need to manually adjust the setting value of equipment to achieve the proper temperature setting of the human body needs in the state, and the like. Meanwhile, if the adjustment is not timely, other uncomfortable symptoms such as cold and the like may be caused. In the prior art, various influence factors are not integrated, and different judgments and responses can not be intelligently carried out on different states of a human body, so that the optimal environment comfort level is achieved.
Therefore, this embodiment provides an air conditioner with intelligent regulation function, and the air conditioner of this embodiment includes temperature and humidity detection module, human state detection module, human position detection module and control module. The temperature and humidity detection module is used for detecting the indoor environment temperature and the indoor environment humidity and feeding back the indoor environment temperature and the indoor environment humidity to the control module; the temperature and humidity detection module can be a temperature and humidity sensor or a temperature sensor and a humidity sensor. The human body state detection module is used for detecting the state information of the user and feeding the state information back to the control module; optionally, the human body state detection module comprises a human body temperature acquisition device and a human body motion capture device, the human body temperature acquisition device is used for acquiring the body temperature of the user, and the human body temperature acquisition device is an infrared sensor optionally; the human body motion capture device is used for capturing motion amplitude and motion frequency of a user, and the human body motion capture module can be a camera optionally. The control module analyzes the body temperature of the user, the action amplitude and the action frequency of the user to determine the state of the user. The human body position detection module is used for detecting the position information of a user relative to the air outlet of the air conditioner and feeding the position information back to the control module; the control module stores a control algorithm program, the indoor environment temperature and the indoor environment humidity fed back by the temperature and humidity detection module, the state information of the user fed back by the human body state detection module and the position information of the user relative to the air outlet of the air conditioner fed back by the human body position detection module are used as input values of the control algorithm program, the control algorithm program outputs a control strategy of the air conditioner, and the control module regulates and controls the air conditioner according to the control strategy output by the control algorithm program. The control strategy of the air conditioner in the embodiment comprises regulation and control of set temperature, air volume and wind direction.
As shown in the control system diagram of fig. 1, because the demands for the output temperature, the air volume and the wind direction of the refrigeration equipment are different when the human body state is different, some influencing variables influencing the comfort level experience of the human body are considered, and the operation command of the refrigeration equipment is given after comprehensive judgment. On the basis of being influenced by ambient temperature, humidity, because the difference of human state (human action state, human body temperature), human position, all different to the demand of refrigeration temperature, amount of wind, wind direction, these influence conditions of comprehensive consideration here, but refrigeration or heating temperature, the amount of wind and the wind direction of air-out need not to relapse the manual regulation setting of adjusting, makes the user feel more comfortable, improves user's use simultaneously and experiences.
The present embodiment further provides a control method of an air conditioner with an intelligent adjustment function, where the air conditioner includes an intelligent control mode, and after the air conditioner starts the intelligent control mode, the control method includes steps S1 to S3, where:
s1, acquiring indoor environment temperature and indoor environment humidity, and acquiring user state information and position information of a user relative to an air outlet of the air conditioner;
s2, taking the indoor environment temperature, the indoor environment humidity, the user state information and the position information of the user relative to the air outlet of the air conditioner as input values of a control algorithm program, wherein the control algorithm program outputs a control strategy of the air conditioner;
and S3, controlling the air conditioner to operate according to the control strategy.
In this embodiment, the indoor ambient temperature, the indoor ambient humidity, the user status information, and the position information of the user with respect to the air outlet of the air conditioner may be obtained synchronously, or may be obtained sequentially according to a certain logical order, for example, the indoor ambient temperature and the indoor ambient humidity are obtained first, then the user status information is obtained, and finally the position information of the user with respect to the air outlet of the air conditioner is determined. As shown in the control flow chart of fig. 2, after the air conditioner enters the intelligent control mode, the temperature and humidity detecting module automatically detects an ambient temperature variable x1 and an ambient humidity variable x 2. The state of the user is determined by the human body state detection module to obtain a human body state variable x3, and the human body state in this embodiment may optionally include a comfortable state, a fever state, a motion heating state, or the like; then, in combination with the orientation variable x4 of the user relative to the position of the air conditioner outlet, the orientation of the user relative to the position of the air conditioner outlet includes the distance and angle of the user relative to the air conditioner outlet. Finally, the variables x1, x2, x3 and x4 are used as input values of a control algorithm program, and after the control algorithm program is operated or analyzed, the control strategy of the air conditioner based on the variables x1, x2, x3 and x4 is finally output. The control strategy of the air conditioner comprises a regulation strategy for setting temperature, wind speed and wind direction. This embodiment is through the difference of comprehensive consideration human state, the difference of human position, to refrigeration temperature, the amount of wind, the demand of wind direction is all different, refrigeration plant is at suitable temperature range intelligent regulation refrigeration or heating temperature, the amount of wind and the wind direction of air-out, realize the intelligent control of many input many output, give control command, controlgear moves, make human and environment homoenergetic realize comfortable refrigeration effect under different states, the user need not to relapse artificial regulation setting, improve user's use and experience.
Further optionally, the step S1 includes S11 to S12, where:
s11, acquiring the body temperature of the user;
s12, judging whether the body temperature is in the normal body temperature range, and if so, judging that the user is in a comfortable state; and if the temperature is not in the normal body temperature range, determining the state of the user by acquiring the action information of the user.
As shown in the control logic block diagram of fig. 3, the normal range of the human body temperature is T1-T2, for example, the normal range of the human body temperature is: 36 ℃ to 37.4 ℃. Firstly, judging whether the measured human body temperature is in a comfortable normal body temperature range of the human body, if so, judging that the current human body state is in a state 1, namely a comfortable state, and maintaining the current operation parameters of the refrigeration equipment; if the value is greater than T2 or less than T1, further according to the human body motion information, the specific human body state variable x3 is determined, for example: state 2 (heat), state 3 (vigorous motion), etc. Optionally, the temperature T of the human body is collected through an infrared collecting device, and the temperature range of the human body is judged.
Further optionally, step S12 includes S121 to S123, where:
s121, acquiring action information of a user, and analyzing action amplitude and action frequency of the user;
s122, when the action amplitude of the user is smaller than or equal to the set amplitude and the action frequency is smaller than or equal to the set frequency, determining that the current user is in a fever state;
and S123, when the action amplitude of the user is larger than the set amplitude and the action frequency is larger than the set frequency, determining that the current user is in a motion state.
As shown in the control logic block diagram of fig. 3, when both the motion amplitude and the motion frequency are smaller than their respective preset values, it indicates that the user is currently in a static state or a small-amplitude motion state (for example, slowly walking or slightly moving limbs), and if the body temperature of the user is determined to exceed the normal body temperature, it is determined that the user is in a fever state, and it is necessary to avoid cold wind from directly blowing the user. If the body temperature of the user is lower than the normal body temperature, the user is in a cold state, and the indoor temperature needs to be increased. When the action amplitude and the action frequency of the user are larger than the set amplitude, the user is in a motion heating state. Specifically, the human motion capture device captures human motion and determines which motion mode (e.g., still or moving … …) the human motion capture device is in based on the motion amplitude and the motion frequency. Such as: if the action amplitude exceeds 2m and the action frequency exceeds 2m/s, the user can judge that the user is in a violent movement mode. The human body state (for example: comfort, fever, motion fever … …) can be further judged on the premise of measuring the human body temperature, and a human body state variable x3 is obtained.
Further optionally, the step S2 includes S21 to S23, wherein:
s21, setting the ambient temperature to X1, the ambient humidity to X2, the human body state to X3, the human body orientation to X4, and the input to vector X, where X is | X1, X2, X3, and X4 |;
s22, setting the set temperature to be y 1; the wind speed is Y2, the wind direction is Y3, the output is a vector Y, and Y is | Y1Y2Y3 |;
s23, the input vector X and the output vector Y satisfy the mapping relationship: y ═ β (X) + ξ (X), where β (X) is the main trend function and ξ (X) is the correction function.
In this embodiment, after obtaining the ambient humidity, the ambient temperature, the human body state (the human body temperature, the motion frequency and the amplitude), and the relative position between the human body and the air outlet, the relative data X0 is obtained by measuring, and then the function Y is substituted into β (X) + ξ (X), and the corresponding output value Y0 is solved, and Y0 is the control strategy for output. The air conditioner adjusts the operation parameters (set temperature, air volume and wind direction) of the air conditioner in response to the control strategy Y0 so as to make the human body reach the most comfortable state. The embodiment can store data according to different user habits, and modify and adjust xi (X) of the function by the data to be more approximate to the user expectation.
An example is given below for the control case of the present embodiment:
when the ambient humidity is large, the set temperature may be slightly raised (set value when the relative humidity is small); if the human body is in a motion state (when the action amplitude is large and the change speed is high), the wind speed can be properly increased, and meanwhile, the wind direction can be opened in a left-right wind sweeping mode, so that the indoor air circulation is enhanced. Table one is a table corresponding to input values and output values in a specific implementation manner of this embodiment.
Table one: input/output correspondence table
In the embodiment, firstly, a proper control algorithm needs to be determined, and a plurality of groups of algorithm training samples are obtained according to experience, operation examples and other means and are used for training the model, so that the model can reasonably output corresponding setting values according to input values. Then determine the input, let ambient temperature x 1; ambient humidity x 2; human state x 3; body orientation x 4: let the input be vector X ═ X1, X2, X3, X4 |. Then determines the output, let set temperature y 1; the wind speed Y2 and the wind direction Y3 are output as a vector Y ═ Y1Y2Y3 |. Assuming that Y and X satisfy the mapping relationship: y is beta (X) + xi (X), wherein beta (X) is a main trend function, the output trend can be ensured to be consistent with an ideal trend, xi (X) is a correction function, so that the output value of the function is closer to the ideal value, and the output obtained by regulation is closer to the human body required value. The establishment of the function Y ═ β (X) + ξ (X) in the present embodiment includes: performing an orthogonal experiment within an adjustable temperature range of the air conditioner to obtain a plurality of groups of experimental values of the vector X and the vector Y; training the function Y ═ beta (X) + xi (X) through an experimental value; the parameters of the functions β (X) and ξ (X) are solved to obtain the mapping relationship between the vector X and the vector Y, and the table two is an example of the training sample in this embodiment.
Table two: example of training samples
The control algorithm used in this embodiment is only illustrated here. The examples from input to output are only empirical and are merely used to illustrate the results achieved by the method. The invention idea of the invention can be realized by any nonlinear mapping from multi-input to multi-output and intelligent control methods such as neural network fuzzy logic control and the like.
The control of the embodiment is a real-time updating process, when the motion state and the environmental condition change, the related data collected by the air conditioner can be updated, and the air conditioner outputs a new control strategy according to the updated data and further regulates and controls the related operating parameters of the air conditioner.
The present embodiment also proposes a control device of an air conditioner, which includes one or more processors and a non-transitory computer-readable storage medium storing program instructions, when the one or more processors execute the program instructions, the one or more processors are configured to implement the method according to any one of the above.
The present embodiments also propose a non-transitory computer-readable storage medium having stored thereon program instructions for implementing the method according to any one of the above when the program instructions are executed by one or more processors.
The embodiment also provides an air conditioner which adopts the control method or adopts the control device or the non-transitory computer readable storage medium.
Although the present invention has been described with reference to a preferred embodiment, it should be understood that various changes, substitutions and alterations can be made herein without departing from the spirit and scope of the invention as defined by the appended claims.
Claims (12)
1. An air conditioner with an intelligent adjusting function is characterized by comprising a temperature and humidity detection module, a human body state detection module, a human body position detection module and a control module;
the temperature and humidity detection module is used for detecting indoor environment temperature and indoor environment humidity and feeding back the indoor environment temperature and indoor environment humidity to the control module;
the human body state detection module is used for detecting state information of a user and feeding the state information back to the control module;
the human body position detection module is used for detecting the position information of a user relative to the air outlet of the air conditioner and feeding the position information back to the control module;
the control module stores a control algorithm program, the indoor environment temperature and the indoor environment humidity fed back by the temperature and humidity detection module, the state information of the user fed back by the human body state detection module and the position information of the user relative to the air outlet of the air conditioner fed back by the human body position detection module serve as input values of the control algorithm program, the control algorithm program outputs a control strategy of the air conditioner, and the control module regulates and controls the air conditioner according to the control strategy output by the control algorithm program.
2. The air conditioner with intelligent regulation function as claimed in claim 1, wherein the human body state detection module comprises
The human body temperature acquisition device is used for acquiring the body temperature of a user;
the human body motion capture device is used for capturing motion amplitude and motion frequency of a user;
the control module analyzes the body temperature of the user, the action amplitude and the action frequency of the user to determine the state of the user.
3. A control method of an air conditioner with intelligent regulation function as claimed in claim 1 or 2, wherein the air conditioner comprises an intelligent control mode, and when the air conditioner starts the intelligent control mode, the control method comprises:
acquiring indoor environment temperature and indoor environment humidity, and acquiring user state information and position information of a user relative to an air outlet of the air conditioner;
taking the indoor environment temperature, the indoor environment humidity, the user state information and the position information of the user relative to the air outlet of the air conditioner as input values of a control algorithm program, wherein the control algorithm program outputs a control strategy of the air conditioner;
and controlling the air conditioner to operate according to the control strategy.
4. The control method according to claim 3, wherein the obtaining user status information comprises:
acquiring the body temperature of a user;
judging whether the body temperature is within a normal body temperature range, and if so, judging that the user is in a comfortable state; and if the temperature is not in the normal body temperature range, determining the state of the user by acquiring the action information of the user.
5. The control method according to claim 4, wherein the determining the state of the user by the user obtaining the action information of the user comprises
Acquiring action information of a user, and analyzing action amplitude and action frequency of the user;
when the measured body temperature of the human body is higher than the normal body temperature range, when the action amplitude of the user is smaller than or equal to the set amplitude and the action frequency is smaller than or equal to the set frequency, determining that the current user is in a fever state; and when the action amplitude of the user is larger than the set amplitude and the action frequency is larger than the set frequency, determining that the current user is in a motion state.
6. The control method of claim 3, wherein the information about the position of the user relative to the outlet of the air conditioner comprises a distance and an angle of the user relative to the outlet of the air conditioner.
7. A control method according to claim 3, characterized in that the control strategy comprises a regulation strategy for setting temperature, wind speed and wind direction.
8. The control method according to claim 7, wherein the step of using the indoor ambient temperature, the indoor ambient humidity, the user status information and the user position information relative to the air outlet of the air conditioner as input values of a control algorithm program, and the control algorithm program outputs a control strategy of the air conditioner, comprises
Let the ambient temperature be X1, the ambient humidity be X2, the human body state be X3, the human body orientation be X4, let the input be vector X, satisfy X ═ X1, X2, X3, X4 |;
let the set temperature be y 1; the wind speed is Y2, the wind direction is Y3, the output is a vector Y, and Y is | Y1Y2Y3 |;
the input vector X and the output vector Y satisfy the mapping relation: y ═ β (X) + ξ (X), where β (X) is the main trend function and ξ (X) is the correction function.
9. The control method according to claim 8, wherein the mapping relationship:
the establishment of Y ═ β (X) + ξ (X) includes:
performing an orthogonal experiment within an adjustable temperature range of the air conditioner to obtain a plurality of groups of experimental values of the vector X and the vector Y;
training the function Y ═ beta (X) + xi (X) through an experimental value;
and obtaining the mapping relation between the vector X and the vector Y.
10. A control apparatus of an air conditioner, comprising one or more processors and a non-transitory computer readable storage medium storing program instructions, the one or more processors being configured to implement the method according to any one of claims 3 to 9 when the program instructions are executed by the one or more processors.
11. A non-transitory computer-readable storage medium having stored thereon program instructions which, when executed by one or more processors, are operable to implement the method of any one of claims 3-9.
12. An air conditioner employing the control method of any one of claims 3 to 9 or employing the control apparatus of claim 10 or the non-transitory computer-readable storage medium of claim 11.
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Cited By (2)
Publication number | Priority date | Publication date | Assignee | Title |
---|---|---|---|---|
CN115574429A (en) * | 2022-09-27 | 2023-01-06 | 国网浙江义乌市供电有限公司 | Energy-saving and efficiency-increasing intelligent control method and system for air conditioner |
CN115854527A (en) * | 2022-12-19 | 2023-03-28 | 宁波奥克斯电气股份有限公司 | Intelligent air conditioner and control method thereof |
Citations (32)
Publication number | Priority date | Publication date | Assignee | Title |
---|---|---|---|---|
JP2010091228A (en) * | 2008-10-10 | 2010-04-22 | Panasonic Corp | Air conditioner |
CN102384559A (en) * | 2010-09-06 | 2012-03-21 | 日立空调·家用电器株式会社 | Air conditioner |
WO2013151908A1 (en) * | 2012-04-01 | 2013-10-10 | Mahesh Viswanathan | Extensible networked multi-modal environment conditioning system |
JP2015081724A (en) * | 2013-10-23 | 2015-04-27 | 日立アプライアンス株式会社 | Air conditioner indoor unit and air conditioner using the same |
CN105091217A (en) * | 2015-07-31 | 2015-11-25 | 青岛海尔空调器有限总公司 | Intelligent control method for air conditioner |
CN105202694A (en) * | 2015-08-31 | 2015-12-30 | 青岛海尔空调器有限总公司 | Air conditioner control method |
CN106288223A (en) * | 2016-08-29 | 2017-01-04 | 珠海格力电器股份有限公司 | The control method of a kind of air-conditioner and device |
CN106440235A (en) * | 2016-10-31 | 2017-02-22 | 邯郸美的制冷设备有限公司 | Air conditioner and air supply control method and device thereof |
CN106524439A (en) * | 2016-12-27 | 2017-03-22 | 美的集团股份有限公司 | Air conditioner system, control method of air conditioner and linkage device |
CN106681686A (en) * | 2017-01-04 | 2017-05-17 | 广东美的制冷设备有限公司 | Broadcasting control method, broadcasting control device and air conditioner |
US20170193788A1 (en) * | 2014-07-08 | 2017-07-06 | Young Wung KIM | Air quality notifying device connecting air quality measurement device and wireless terminal, and air quality notifying method therefor |
JP6335425B2 (en) * | 2012-10-17 | 2018-05-30 | 日立ジョンソンコントロールズ空調株式会社 | Air conditioner |
CN108286781A (en) * | 2018-01-31 | 2018-07-17 | 广东美的制冷设备有限公司 | Air-conditioner control method, electronic equipment and computer readable storage medium |
CN108302694A (en) * | 2017-12-25 | 2018-07-20 | 珠海格力电器股份有限公司 | A kind of air conditioning control method and device |
CN108332375A (en) * | 2018-01-31 | 2018-07-27 | 广东美的制冷设备有限公司 | Air-conditioner control method, electronic equipment and computer readable storage medium |
CN108346469A (en) * | 2018-01-15 | 2018-07-31 | 维沃移动通信有限公司 | Method for determining human health status and mobile terminal |
CN108662728A (en) * | 2017-03-27 | 2018-10-16 | 松下知识产权经营株式会社 | Information processing method, information processing unit and program |
CN108954662A (en) * | 2018-08-07 | 2018-12-07 | 珠海格力电器股份有限公司 | A kind of air conditioner temperature controlling method and device |
CN109215291A (en) * | 2018-09-05 | 2019-01-15 | 广东小天才科技有限公司 | Fever based reminding method, device, equipment and storage medium based on wearable device |
CN208901572U (en) * | 2018-08-07 | 2019-05-24 | 珠海格力电器股份有限公司 | A kind of control device for temperature of air conditioner |
CN110251097A (en) * | 2019-06-18 | 2019-09-20 | 安徽大学 | Sense detection system is fitted after human motion |
CN110553367A (en) * | 2019-08-12 | 2019-12-10 | 珠海格力电器股份有限公司 | intelligent air conditioner control method and system and air conditioner |
CN110925995A (en) * | 2019-11-28 | 2020-03-27 | 新奥数能科技有限公司 | Method and system for air conditioning adaptive control air conditioning |
EP3633280A1 (en) * | 2017-07-12 | 2020-04-08 | Mitsubishi Electric Corporation | Comfort level display device |
CN111006368A (en) * | 2019-11-04 | 2020-04-14 | 佛山市云米电器科技有限公司 | Intelligent personalized air outlet system |
CN111023487A (en) * | 2019-11-04 | 2020-04-17 | 佛山市云米电器科技有限公司 | Single-person wind-sheltering intelligent customized air outlet method and system |
WO2020103306A1 (en) * | 2018-11-20 | 2020-05-28 | 章礼道 | Ai air conditioning system realizing real-time closed-loop control through high-sensitivity temperature and humidity meter |
CN111561771A (en) * | 2020-06-16 | 2020-08-21 | 重庆大学 | Intelligent air conditioner temperature adjusting method |
CN112128925A (en) * | 2019-06-24 | 2020-12-25 | 奇酷互联网络科技(深圳)有限公司 | Method for intelligently remotely controlling air conditioner, intelligent terminal and storage medium |
CN112880141A (en) * | 2021-01-27 | 2021-06-01 | 青岛海尔空调器有限总公司 | Control method and control system of air conditioner |
CN113357756A (en) * | 2020-03-03 | 2021-09-07 | 青岛海尔空调器有限总公司 | Intelligent human body induction control method of air conditioner and air conditioner |
CN113551383A (en) * | 2021-07-19 | 2021-10-26 | 新疆爱华盈通信息技术有限公司 | Intelligent temperature control switch air conditioner |
-
2021
- 2021-11-11 CN CN202111333244.8A patent/CN114110963B/en active Active
Patent Citations (32)
Publication number | Priority date | Publication date | Assignee | Title |
---|---|---|---|---|
JP2010091228A (en) * | 2008-10-10 | 2010-04-22 | Panasonic Corp | Air conditioner |
CN102384559A (en) * | 2010-09-06 | 2012-03-21 | 日立空调·家用电器株式会社 | Air conditioner |
WO2013151908A1 (en) * | 2012-04-01 | 2013-10-10 | Mahesh Viswanathan | Extensible networked multi-modal environment conditioning system |
JP6335425B2 (en) * | 2012-10-17 | 2018-05-30 | 日立ジョンソンコントロールズ空調株式会社 | Air conditioner |
JP2015081724A (en) * | 2013-10-23 | 2015-04-27 | 日立アプライアンス株式会社 | Air conditioner indoor unit and air conditioner using the same |
US20170193788A1 (en) * | 2014-07-08 | 2017-07-06 | Young Wung KIM | Air quality notifying device connecting air quality measurement device and wireless terminal, and air quality notifying method therefor |
CN105091217A (en) * | 2015-07-31 | 2015-11-25 | 青岛海尔空调器有限总公司 | Intelligent control method for air conditioner |
CN105202694A (en) * | 2015-08-31 | 2015-12-30 | 青岛海尔空调器有限总公司 | Air conditioner control method |
CN106288223A (en) * | 2016-08-29 | 2017-01-04 | 珠海格力电器股份有限公司 | The control method of a kind of air-conditioner and device |
CN106440235A (en) * | 2016-10-31 | 2017-02-22 | 邯郸美的制冷设备有限公司 | Air conditioner and air supply control method and device thereof |
CN106524439A (en) * | 2016-12-27 | 2017-03-22 | 美的集团股份有限公司 | Air conditioner system, control method of air conditioner and linkage device |
CN106681686A (en) * | 2017-01-04 | 2017-05-17 | 广东美的制冷设备有限公司 | Broadcasting control method, broadcasting control device and air conditioner |
CN108662728A (en) * | 2017-03-27 | 2018-10-16 | 松下知识产权经营株式会社 | Information processing method, information processing unit and program |
EP3633280A1 (en) * | 2017-07-12 | 2020-04-08 | Mitsubishi Electric Corporation | Comfort level display device |
CN108302694A (en) * | 2017-12-25 | 2018-07-20 | 珠海格力电器股份有限公司 | A kind of air conditioning control method and device |
CN108346469A (en) * | 2018-01-15 | 2018-07-31 | 维沃移动通信有限公司 | Method for determining human health status and mobile terminal |
CN108332375A (en) * | 2018-01-31 | 2018-07-27 | 广东美的制冷设备有限公司 | Air-conditioner control method, electronic equipment and computer readable storage medium |
CN108286781A (en) * | 2018-01-31 | 2018-07-17 | 广东美的制冷设备有限公司 | Air-conditioner control method, electronic equipment and computer readable storage medium |
CN108954662A (en) * | 2018-08-07 | 2018-12-07 | 珠海格力电器股份有限公司 | A kind of air conditioner temperature controlling method and device |
CN208901572U (en) * | 2018-08-07 | 2019-05-24 | 珠海格力电器股份有限公司 | A kind of control device for temperature of air conditioner |
CN109215291A (en) * | 2018-09-05 | 2019-01-15 | 广东小天才科技有限公司 | Fever based reminding method, device, equipment and storage medium based on wearable device |
WO2020103306A1 (en) * | 2018-11-20 | 2020-05-28 | 章礼道 | Ai air conditioning system realizing real-time closed-loop control through high-sensitivity temperature and humidity meter |
CN110251097A (en) * | 2019-06-18 | 2019-09-20 | 安徽大学 | Sense detection system is fitted after human motion |
CN112128925A (en) * | 2019-06-24 | 2020-12-25 | 奇酷互联网络科技(深圳)有限公司 | Method for intelligently remotely controlling air conditioner, intelligent terminal and storage medium |
CN110553367A (en) * | 2019-08-12 | 2019-12-10 | 珠海格力电器股份有限公司 | intelligent air conditioner control method and system and air conditioner |
CN111023487A (en) * | 2019-11-04 | 2020-04-17 | 佛山市云米电器科技有限公司 | Single-person wind-sheltering intelligent customized air outlet method and system |
CN111006368A (en) * | 2019-11-04 | 2020-04-14 | 佛山市云米电器科技有限公司 | Intelligent personalized air outlet system |
CN110925995A (en) * | 2019-11-28 | 2020-03-27 | 新奥数能科技有限公司 | Method and system for air conditioning adaptive control air conditioning |
CN113357756A (en) * | 2020-03-03 | 2021-09-07 | 青岛海尔空调器有限总公司 | Intelligent human body induction control method of air conditioner and air conditioner |
CN111561771A (en) * | 2020-06-16 | 2020-08-21 | 重庆大学 | Intelligent air conditioner temperature adjusting method |
CN112880141A (en) * | 2021-01-27 | 2021-06-01 | 青岛海尔空调器有限总公司 | Control method and control system of air conditioner |
CN113551383A (en) * | 2021-07-19 | 2021-10-26 | 新疆爱华盈通信息技术有限公司 | Intelligent temperature control switch air conditioner |
Cited By (3)
Publication number | Priority date | Publication date | Assignee | Title |
---|---|---|---|---|
CN115574429A (en) * | 2022-09-27 | 2023-01-06 | 国网浙江义乌市供电有限公司 | Energy-saving and efficiency-increasing intelligent control method and system for air conditioner |
CN115574429B (en) * | 2022-09-27 | 2023-05-12 | 国网浙江义乌市供电有限公司 | Intelligent control method and system for energy-saving and synergistic air conditioner |
CN115854527A (en) * | 2022-12-19 | 2023-03-28 | 宁波奥克斯电气股份有限公司 | Intelligent air conditioner and control method thereof |
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