WO2023233551A1 - Measurement position recommendation device and measurement position recommendation method - Google Patents

Measurement position recommendation device and measurement position recommendation method Download PDF

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Publication number
WO2023233551A1
WO2023233551A1 PCT/JP2022/022213 JP2022022213W WO2023233551A1 WO 2023233551 A1 WO2023233551 A1 WO 2023233551A1 JP 2022022213 W JP2022022213 W JP 2022022213W WO 2023233551 A1 WO2023233551 A1 WO 2023233551A1
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WIPO (PCT)
Prior art keywords
room
people
measurement point
measurement position
map
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PCT/JP2022/022213
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French (fr)
Japanese (ja)
Inventor
嘉人 遠藤
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三菱電機ビルソリューションズ株式会社
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Priority to PCT/JP2022/022213 priority Critical patent/WO2023233551A1/en
Publication of WO2023233551A1 publication Critical patent/WO2023233551A1/en

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    • G—PHYSICS
    • G01—MEASURING; TESTING
    • G01N—INVESTIGATING OR ANALYSING MATERIALS BY DETERMINING THEIR CHEMICAL OR PHYSICAL PROPERTIES
    • G01N33/00—Investigating or analysing materials by specific methods not covered by groups G01N1/00 - G01N31/00
    • 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
    • F24F2110/30—Velocity

Definitions

  • the present disclosure relates to a measurement position recommendation device and a measurement position recommendation method that recommend measurement positions of an air environment in a room of a building.
  • Patent Document 1 discloses a technique related to measuring the air environment inside a building.
  • Managers of buildings such as office buildings are required to conduct air environment measurements twice a day during business hours, but there are no legal regulations regarding when measurements should be taken. For this reason, for example, measurements are carried out at roughly fixed times in the morning and afternoon.
  • the person measuring the air environment should check whether the number of people in the room is at its peak and if the number of people in the room is at its peak. It is necessary to measure the air environment to ensure that this does not occur.
  • measuring in a narrow hallway may prevent the occupants from passing through, or measuring in front of a doorway with a lot of traffic may cause the occupants to be unable to pass through. It is likely to obstruct traffic or interfere with the work of the people in the room by taking measurements in front of shelves where materials necessary for work are kept.
  • the present disclosure has been made to solve such problems, and the purpose of the present disclosure is to provide a measurement position that allows even a measurer who is unfamiliar with buildings to measure the air environment at a suitable location and time.
  • An object of the present invention is to provide a recommended device and a method for recommending measurement positions.
  • a measurement position recommendation device is a device that recommends a measurement position of an air environment in a room of a building.
  • the measurement position recommendation device includes a processor and a memory that stores a program executable by the processor.
  • the processor determines the measurement position based on information about the occupants in the room during a peak time period when the number of occupants in the room is at its peak, and a determination condition including a first condition regarding the distance between the measurement position and the position of the occupant. decide.
  • the processor outputs the determined measurement position.
  • the measurement position recommendation method is a method of recommending the measurement position of the air environment in a room of a building.
  • the measurement position recommendation method is based on information on people in the room during a peak time period when the number of people in the room is at its peak, and determination conditions including a first condition regarding the distance between the measurement position and the position of the people in the room.
  • the method includes a step of determining a measurement position and a step of outputting the determined measurement position.
  • FIG. 1 is an overall configuration diagram of a measurement point recommendation system according to an embodiment of the present disclosure.
  • FIG. 2 is a diagram showing the hardware configuration of a measurement point recommendation system.
  • FIG. 2 is a diagram for explaining processing executed by the measurement point recommendation system.
  • FIG. 3 is a diagram showing an example of data on the number of people in the room. It is a figure which shows an example of peak time zone data. It is a figure showing an example of a people flow map. It is a flowchart of measurement point map generation processing. It is a figure showing an example of a measurement point map.
  • FIG. 3 is a diagram showing an example of a screen display on a terminal. It is a figure for explaining the process which the measurement point recommendation system concerning a modification performs.
  • FIG. 3 is a diagram showing an example of a congestion level map. It is a figure showing an example of a measurement point map.
  • FIG. 1 is an overall configuration diagram of a measurement point recommendation system 100 according to an embodiment of the present disclosure.
  • the measurement point recommendation system 100 includes a measurement point recommendation device (also referred to as a "measurement position recommendation device") 10, a position monitoring device 20, a terminal 30, an entry/exit control system 80, and a plurality of It includes a wireless communication device 72 and a plurality of cameras 70.
  • a measurement point recommendation device also referred to as a "measurement position recommendation device”
  • a position monitoring device 20 includes a terminal 30, an entry/exit control system 80, and a plurality of It includes a wireless communication device 72 and a plurality of cameras 70.
  • the measurement point recommendation device 10 is a device that recommends measurement points (also referred to as "measurement positions") of the air environment in rooms of a building.
  • a measurement point (measurement position) is a position defined in the Building Sanitation Management Act at which the air environment such as temperature and carbon dioxide concentration inside a building is measured.
  • a “room” in this embodiment refers to a section of a building partitioned off by walls, etc., and is also referred to as a "room.”
  • a room may also include a common area such as a hallway or a lobby.
  • a measurement point in an office building is recommended as an example of a building.
  • a building manager who manages the building is stationed in this office building.
  • a building manager (also referred to as a "measuring person") measures the air environment in accordance with the Building Sanitation Management Act.
  • each company uses one or more rooms (rooms). It is assumed that employees of each company have an IC card. Employees enter and exit each room by having their IC card read by a card reader installed at the entrance of each room. Entry/exit to each room is managed by an entry/exit management system 80.
  • the measurement point recommendation device 10, the position monitoring device 20, the terminal 30, and the room entry/exit management system 80 are configured to be able to communicate with each other via a communication network NW (typically, the Internet).
  • NW typically, the Internet
  • a plurality of wireless communication devices 72 and a plurality of cameras 70 are installed inside the office building, and these make it possible to measure the current location of employees, etc. (including security guards, cleaning staff, etc.) within the office building. It is configured.
  • the wireless communication device 62 is a card-type communication device, and the employee 4 carries the wireless communication device 62.
  • the wireless communication device 62 transmits a signal for detecting the position of the employee 4 using, for example, a communication method according to the BLE (Bluetooth Low Energy, "Bluetooth” is a registered trademark) communication standard.
  • BLE Bluetooth Low Energy
  • UWB Ultra Wide Band
  • the wireless communication device 62 sends a signal or the like indicating an ID (Identification) for identifying the employee 4 to the position monitoring device 20 using a communication method that conforms to a wireless communication standard such as LTE (Long Term Evolution). Send.
  • LTE Long Term Evolution
  • the plurality of wireless communication devices 72 and the plurality of cameras 70 are installed, for example, on the ceiling 45 of an office building at an appropriate distance.
  • the plurality of wireless communication devices 72 receive signals generated from the wireless communication device 62 of the employee 4 using a communication method that follows the same communication standard as the wireless communication device 62 of the employee 4, and detect the reception strength of the signal. do.
  • the position of the employee 4 within the office building can be determined from the reception strength at the wireless communication device 72.
  • the wireless communication device 72 outputs the reception strength of the signal received from the wireless communication device 62 of the employee 4 to the position monitoring device 20.
  • the camera 70 images the inside of the office building and outputs the captured image (moving image) to the position monitoring device 20.
  • the captured images include images of employees and the like existing in the office building.
  • the wireless communication device 72 and camera 70 may be installed on a wall.
  • a plurality of wireless communication devices 72 and a camera 70 installed on the ceiling 45 are communicatively connected to the position monitoring device 20.
  • the position monitoring device 20 in this embodiment includes an indoor position information device and a surveillance camera device.
  • the indoor position information device manages the position information of the employee 4 based on information from the wireless communication device 72.
  • the surveillance camera device manages position information of the employee 5 based on information from the camera 70.
  • the position monitoring device 20 may be configured to include an indoor location information device and a surveillance camera device, or may be configured to include either an indoor location information device or a surveillance camera device. good.
  • the position monitoring device 20 receives the reception strength of the signal received by the wireless communication device 72 from the wireless communication device 72, and determines the location of employees, etc. in the office building based on the reception strength of each wireless communication device 72. Measure the position of. Further, the position monitoring device 20 (surveillance camera device) measures the positions of employees and the like based on captured images (moving images) from the camera 70. Furthermore, the position monitoring device 20 generates people flow data (also referred to as "flow line data") based on the position information of the wireless communication device 62 and the captured image (moving image) from the camera 70. The position monitoring device 20 can transmit the human flow data to the measurement point recommendation device 10 via the communication network NW.
  • either the wireless communication device 72 or the camera 70 may be installed in each room in the office building. If a wireless communication device 72 is installed in the room, the wireless communication device 72 is used to obtain position information of the employee in the room. If a camera 70 is installed in the room, the camera 70 is used to obtain position information of the employee in the room.
  • the measurement point recommendation device 10 recommends measurement points for the air environment in each room of the office building to the building manager 3 of the office building. Specifically, the measurement point recommendation device 10 determines a plurality of measurement points for each room during the peak time period. The building manager 3 can check the determined measurement points on the terminal 30.
  • the position monitoring device 20 and the measurement point recommendation device 10 are configured as separate bodies, but the present invention is not limited to this, and they may be configured as a single server device.
  • the terminal 30 is communicably connected to the measurement point recommendation device 10 via the communication network NW.
  • the terminal 30 is an information processing device having a communication function and a display function, and is typically a smartphone or a tablet.
  • the terminal 30 may be used by the building manager 3 or the like.
  • the terminal 30 is not limited to a mobile terminal such as a smartphone or a tablet, but may also be a PC (Personal Computer) installed in an office building.
  • PC Personal Computer
  • the terminal 30 typically has a web browser.
  • the terminal 30 accesses the measurement point recommendation device 10 and displays screen data (WEB screen) on its own device.
  • the measurement point recommendation device 10 may be accessed from the terminal 30 using installed dedicated application software.
  • FIG. 2 is a diagram showing the hardware configuration of the measurement point recommendation system 100.
  • the measurement point recommendation system 100 includes the measurement point recommendation device 10, the position monitoring device 20, the terminal 30, the room entry/exit management system 80, the plurality of wireless communication devices 72, and the plurality of cameras 70. Be prepared.
  • the measurement point recommendation device 10 includes, as main components, a processor 11 that executes a program, a ROM (Read Only Memory) 12 that stores data in a non-volatile manner, and data generated by the execution of the program by the processor 11, or It includes a RAM (Random Access Memory) 13 that volatilely stores data input through an input device, an HDD (Hard Disk Drive) 14 that stores data nonvolatilely, and a communication IF (Interface) 15. Each component is interconnected by a data bus 16.
  • a processor 11 that executes a program
  • ROM Read Only Memory
  • HDD Hard Disk Drive
  • IF Communication Interface
  • the communication IF 15 is an interface for communicating between the entry/exit management system 80, the position monitoring device 20, and the terminal 30, and the measurement point recommendation device 10.
  • the HDD 14 stores various data.
  • the measurement point recommendation device 10 may include other nonvolatile storage devices instead of the HDD 14 or in addition to the HDD 14.
  • the position monitoring device 20 includes a processor 21, ROM 22, RAM 23, HDD 24, and communication IF 25 as main components. Each component is interconnected by a data bus 26.
  • the communication IF 25 is an interface for communicating with the measurement point recommendation device 10, the wireless communication device 72, and the camera 70.
  • the HDD 24 stores information on employees and the like, information on office buildings, location information on employees and the like.
  • FIG. 2 shows an example of a configuration in which necessary processing is provided by each of the processors 11, 21, and 31 executing a program, some or all of these provided processing may be It may be implemented using a hardware circuit (for example, an ASIC (Application Specific Integrated Circuit) or an FPGA (Field-Programmable Gate Array)).
  • ASIC Application Specific Integrated Circuit
  • FPGA Field-Programmable Gate Array
  • the terminal 30 includes a processor 31, ROM 32, RAM 33, input section 34, display 35, and communication IF 36 as main components. Each component is interconnected by a data bus 37.
  • the input unit 34 receives input from a user (for example, a building manager, etc.).
  • the display 35 displays the processing results of the processor 11.
  • a touch panel display in which the input section 34 and the display 35 are integrated may be adopted.
  • the communication IF 36 is an interface for communicating with the measurement point recommendation device 10.
  • the HDD 34 stores installed application software and the like.
  • the position monitoring device 20 monitors the movements of employees and the like.
  • a plurality of wireless communication devices 72 and a camera 70 installed on the ceiling 45 are communicatively connected to the position monitoring device 20 .
  • a plurality of wireless communication devices 72 and cameras 70 are installed on the ceiling 45 at an appropriate distance, and are used to detect the movements of the employees 4 and 5 within the office building.
  • the wireless communication device 62 owned by the employee 4, like the wireless communication device 72, transmits a signal for detecting the position of the employee 4 using a communication method according to the BLE communication standard or the UWB communication standard.
  • the wireless communication device 72 receives the signal generated from the wireless communication device 62 and detects the reception strength using a communication method that follows the same communication standard as the wireless communication device 62 owned by the employee 4.
  • the wireless communication device 72 outputs the reception strength of the signal received from the wireless communication device 62 to the position monitoring device 20.
  • the camera 70 images the inside of the office building and outputs the captured image (moving image) to the position monitoring device 20.
  • the captured image includes an image of the employee 5 passing through the office building.
  • the position monitoring device 20 receives the reception strength of the signal received by the wireless communication device 72 from the wireless communication device 72, and measures the position of the employee 4 within the office building from the reception strength at each wireless communication device 72. Furthermore, the position monitoring device 20 measures the position of the employee 5 from images captured by the plurality of cameras 70 using a known image analysis technique.
  • the position monitoring device 20 generates people flow data (flow line data indicating people's flow lines) indicating the flow of people in each room in the office building based on the measurement information of these positions. These people flow data are stored in the HDD 24 as historical information. The position monitoring device 20 can transmit the generated people flow data (historical information) to the measurement point recommendation device 10 via the communication network NW.
  • people flow data flow line data indicating people's flow lines
  • the room entry/exit management system 80 is a system that manages entry/exit from each room of an office building.
  • the room entry/exit management system 80 includes a management device 81 and a plurality of card readers 82 .
  • the management device 61 is a device that controls the card reader 82 and manages entry and exit from the room.
  • the card reader 82 is installed at the entrance and exit of the living room and is used when entering and leaving the room.
  • the door to the room will be unlocked and the employee can enter the room.
  • the IC card carried by the employee is read by a card reader 82 installed at the exit of the room, the door to the room is unlocked and the employee can leave the room.
  • the room entry/exit management system 80 manages entry/exit information obtained from a plurality of card readers 82 for each room (resident room).
  • the room entry/exit management system 80 counts the current number of people in the room based on information on people entering the room and information on people leaving the room, and converts this into data on the number of people in the room (see FIG. 4 described later). ).
  • FIG. 3 is a diagram for explaining the processing executed by the measurement point recommendation system 100.
  • This process is comprised of processes executed by the measurement point recommendation device 10, the room entry/exit management system 80, the position monitoring device 20, and the terminal 30.
  • the measurement point map generated by the measurement point recommendation device 10 is finally displayed on the terminal 30.
  • the measurement point recommendation device 10 requests data on the number of people in the room from the room entry/exit management system 80 (S11).
  • the room entry/exit management system 80 receives the request for the data on the number of people in the room, it extracts the data on the number of people in the room (S21).
  • FIG. 4 is a diagram showing an example of data on the number of people in the room.
  • the data on the number of people in the room is data in which the number of people in the room corresponding to the date, time zone, and room name is recorded.
  • the data on the number of people in the room is the "number of people in the room" in the room (occupancy) recorded in "Room Name” on the date recorded in "Date", during the time period recorded in "Time Zone”. This is data showing.
  • the room entry/exit management system 80 counts the number of people in the room A302 based on the entry/exit data from the card reader 82. When the room entry process is performed using the card reader at the entrance of A302, the room entry/exit management system 80 increases the number of people in the room A302 by one. When exit processing is performed using the card reader at the exit of A302, the room entry/exit management system 80 reduces the number of people in the room A302 by one.
  • the room entry/exit management system 80 counts the number of people in the room every hour. For example, the room entry/exit control system 80 calculates the average value of the number of people entering and leaving the room every minute from 8:00 to 9:00, and uses the data as the number of people in the room between 8:00 and 9:00. Record.
  • the example in Figure 4 shows that the (average) number of people in room A302 was 10 for one hour from 8:00 to 9:00 (around 8:00) on October 6th. has been done. Similarly, it is shown that there were 50 people in A302 for one hour from 9:00 to 10:00 (9 o'clock) on October 6th. Below, the number of people in A302 is 57 (10 o'clock), 36 (11 o'clock), 28 (12 o'clock), 40 (13 o'clock), 45 (14 o'clock). It is shown that...
  • the number of people in the room on October 6th was 30 (8 o'clock), 5 (9 o'clock), 5 (10 o'clock), 10 (11 o'clock), 20 ( 12:00), 10 (13:00), 5 (14:00), etc.
  • the data for A302 and A303 on October 6th is illustrated, but the data on the number of people in the office building for the most recent multiple days (for example, 365 days) including October 6th is used as an example. Data for all rooms in the room are recorded.
  • the room entry/exit management system 80 transmits the data on the number of people in the room to the measurement point recommendation device 10 (S22).
  • the measurement point recommendation device 10 acquires data on the number of people in the room from the room entry/exit management system 80 (S12).
  • the measurement point recommendation device 10 generates peak time period data (S13).
  • the air environment is measured once a month.
  • the day in a month when the number of people in the room is likely to be the largest may be selected as the day on which the air environment should be measured in the current month.
  • the total sum of the number of people in the room for each time period is calculated for each day of the acquired data on the number of people in the room for one year (365 days).
  • a plurality of days on which the total number of people in the room increases may be set as measurement date candidates.
  • the 6th and 15th may be extracted as candidate dates.
  • dates may be categorized as 1st Monday to 1st Friday, 2nd Monday to 2nd Friday, etc., or the first working day of the month (not including holidays), the second working day of the month, etc. Dates may be classified as 3rd working day... For example, in a case where a sales department is located in a room where everyone comes to work on the first working day (weekday) when there is a sales meeting, the first working day may be extracted as a candidate day. Furthermore, if the most people are around 9:00 a.m. due to morning meetings (people go out on the outside at other times), then 9:00 a.m. is extracted as the busy time. The date and time period when the room is crowded (at its peak) may be estimated using known statistical processing from data for the past one or two years, for example.
  • FIG. 5 is a diagram showing an example of peak time zone data.
  • the peak time period data is data extracted from the data on the number of people in a room during a time period when the number of people in each room is large. Data for a time period with the highest number of people in each room and a time period with the next highest number of occupants may be extracted.
  • the time period when the number of people in the room is the largest in A302 is around 10 o'clock (57 people), and the time period when the number of people in the room is the next highest is around 9 o'clock (50 people).
  • the time period when the number of people in the room is the largest is around 8 o'clock (30 people), and the time period when the number of people in the room is the next largest is around 12 o'clock (20 people). For this reason, these data are extracted to generate peak time period data as shown in FIG.
  • the time slots are divided into 1-hour intervals, but the time slots are not limited to this, and the time slots may be divided into 15-minute intervals or 30-minute intervals.
  • the method is not limited to extracting two pieces of data indicating the largest number of people in the room, but may extract three or more pieces of data.
  • the time period when the number of people in the room is at its peak is referred to as the "peak time period.”
  • peak time period there may be multiple peak time periods.
  • the time period when the number of people in the room is at its peak refers to the time period when the number of people in the room is the highest, or multiple time periods when the number of people in the room is the highest, according to the data on the number of people in the room. 5).
  • the measurement point recommendation device 10 requests the position monitoring device 20 for a people flow map during peak hours (S14).
  • the people flow map of A302 between 9:00 and 10:00 on October 6th and the people flow map of A303 between 8:00 and 12:00 on October 6th are requested.
  • the location monitoring device 20 receives the request for a people flow map, it generates a people flow map during peak hours (S23).
  • FIG. 6 is a diagram showing an example of a people flow map. What is shown in FIG. 6 is the A302 people flow map at around 9:00 on October 6th.
  • the position monitoring device 20 stores, in the HDD 24, people flow data (flow line data) indicating the flow of people within the office building (flow line data) as history information.
  • the position monitoring device 20 generates a people flow map for A302 around 9 o'clock on October 6th.
  • the flow of people data from 9:00 to 10:00 on October 6th of A302 is extracted from the history information stored in the HDD 24.
  • each flow line data is assigned a flow line number, and for each flow line number, the room name (for example, A302) and the position information (coordinates) of the person corresponding to each time are recorded. .
  • the HDD 24 stores a floor map of each room.
  • a floor map is an image schematically showing a plan view of a floor viewed from the ceiling.
  • the position of each room on the floor map can be specified using the above coordinates (X, Y).
  • a floor map of A302 is shown on the screen 91 in FIG.
  • A302 is provided with multiple doors, desks, shelves, and a conference room.
  • A302 has two doors D for entering and exiting A302, a small conference room R1, a large conference room R2, an executive room R3, and a shelf B2 installed along the wall.
  • B4, C4 a printer B3, a meeting desk C1, a shelf C2, and a desk C3 (self-seat) assigned to each employee working at A302.
  • a door D is provided at each entrance to the small conference room R1, large conference room R2, and executive room R3, and a conference desk B1 is provided in the small conference room R1, a conference desk B5 is provided in the large conference room R2, and a conference desk B5 is provided in the large conference room R2.
  • a meeting desk B6, a desk B7, and a printer B8 are respectively provided.
  • the position monitoring device 20 generates a people flow map by superimposing the people flow data on the floor map.
  • Screen 91 in FIG. 6 is a people flow map created by superimposing the people flow data of A302 from 9:00 to 10:00 on October 6th on the floor map of A302.
  • the flow of people L in the screen 91 indicates the flow of employees working within A302.
  • the flow of people L shown in FIG. 6 includes data on the flow of people from door D to desk C3 (my seat), data on small conference room R1, large conference room R2, data on people flow from executive room R3 to desk C3, data on flow of people from desk C3 to shelf B2, Coordinate data such as data on the flow of people toward B4, C4, printer B3, or meeting desk C1 are plotted on the floor map.
  • the position monitoring device 20 transmits the people flow map to the measurement point recommendation device 10 (S24).
  • the measurement point recommendation device 10 acquires the people flow map from the position monitoring device 20 (S15).
  • FIG. 7 is a flowchart of measurement point map generation processing. A series of processes shown in this flowchart are executed by the measurement point recommendation device 10.
  • the measurement point recommendation device 10 uses "information on the people in the room (employees)" during the peak time period (the time shown in FIG. 5) when the number of people in the room peaks, and “determination conditions” to be described later. Determine measurement points based on.
  • Information on people in the room includes a people flow map in which information indicating the flow of people in the room is superimposed on a map of the room. This will be explained in detail below.
  • the measurement point recommendation device 10 acquires people flow map information in step (hereinafter simply referred to as "S") 101.
  • the measurement point recommendation device determines measurement points based on the determination conditions and information on people in the room (people flow map).
  • the determining conditions are a first condition (condition 1) regarding the distance between the measurement point and the position of the person in the room, a second condition (condition 2) regarding the distance between the measurement point and the entrance/exit of the room, and a path width at the measurement point. and a third condition (condition 3).
  • condition 1 is that the measurement point is located at a location where there is little traffic. More specifically, condition 1 is that the measurement point exists at a location that avoids the location of the person in the room identified from the flow of people. This is because if measurements are taken on a path that people take, it will obstruct the passage of people (employees) in the room.
  • Condition 2 is that the measurement point is located close to the entrance/exit. The farther the measurement point is from the entrance/exit, the longer the building manager (measuring person) has to travel to reach the measurement point, and the more likely it is that the building manager (measuring person) will be obstructing the passage of people in the room (employees) during the move. This is because it is expensive.
  • the third condition is that the measurement point is located on a wide passage. This is because if the aisle width is wide, people in the room (employees) can move around the manager (measuring person) and are less likely to obstruct passage.
  • the measurement point recommendation device 10 sets priorities to the extracted measurement points.
  • the measurement point recommendation device generates a measurement point map by superimposing the measurement point information on the people flow map, and ends the measurement point map generation process.
  • FIG. 8 is a diagram showing an example of a measurement point map.
  • the measurement point map in FIG. 8 is a measurement point map generated by superimposing measurement point information on the people flow map shown in FIG. 6.
  • measurement points P1 to P3 are shown as measurement point information.
  • the measurement point P1 is set to have a priority order of 1st place.
  • the measurement point P2 is set to have a priority order of 2nd place.
  • the measurement point P3 is set to have a priority order of 3rd place.
  • the evaluation value is set so that a place that is far from the wall and has as many people as possible in the room has a higher priority.
  • higher evaluation values are set in the order of measurement points P1, P2, and P3 that are farther from the wall and closer to desk C3 in the center.
  • the evaluation value is set so that the priority is higher when the measurement point is located on a wide passageway (condition 3).
  • the passage widths at measurement points P2, P1, and P3 are equally wide.
  • the specific weight becomes higher (the evaluation value becomes larger) in the order of evaluation value A (distance from the wall), evaluation value B (condition 2), and evaluation value C (condition 3).
  • the evaluation value A' may be set such that the farther the distance from the flow of people (condition 1), the larger the value.
  • the measurement point recommendation device 10 selects a plurality of measurement points and their corresponding priorities based on information on people in the room (people flow data) and decision conditions (conditions 1 to 3). (Measurement point information) has been determined. Specifically, the measurement point recommendation device 10 determines the measurement point so that the measurement can be performed in a position that is away from the wall and away from the flow of people, and is as close to the entrance and exit as possible and has a wide passageway. are doing.
  • the above example uses the A302 people flow map at 9 o'clock on October 6th, but as illustrated in Figure 5, the A302 people flow map at 10 o'clock, 8 o'clock and 12 o'clock Regarding the people flow map of A303, a plurality of measurement points and corresponding priorities (measurement point information) are determined respectively.
  • the measurement point recommendation device 10 determines a plurality of measurement points and corresponding priorities (measurement point information) for each of a plurality of peak time periods based on information on people in the room and determination conditions. Then, a measurement point map is generated by superimposing each person flow information and measurement point information on the corresponding floor map.
  • the measurement point recommendation device 10 transmits (outputs) all the generated measurement point maps to the terminal 30 (S17).
  • FIG. 9 is a diagram showing an example of a screen display on the terminal 30. As shown in FIG. 9, on the right side of the screen 93 of the terminal 30, the measurement point map shown in FIG. 8 (an example at A302 around 9 o'clock on October 6) is displayed.
  • a measurement point map selection menu is displayed on the left side of the screen 93.
  • This menu has a "Building Specification” button to change the target building, a "Floor Specification” button to change the floor of the building, a “Room Specification” button to change the room, and a "Time Zone Specification” button to change the time zone. ing.
  • This measurement point map is displayed by specifying the building “Building A”, the floor “3rd floor”, the room “A302”, and the time period "9 o'clock".
  • the peak time period data in Figure 5 corresponds to the measurement point map displayed by specifying the building "A building”, the floor “3rd floor”, the room “A302”, and the time period "10 o'clock”.
  • a measurement point map that is displayed by specifying the building "A building”, floor “3rd floor”, room “A303”, and time zone “8 o'clock” and the building “A building", floor “3rd floor” , room “A303", and time zone “12 o'clock” correspond to the measurement point map displayed.
  • a "date designation” button for switching the date may be provided. For example, if the peak days are set to “6th” and “15th”, measurement point maps for "6th” and “15th” can be selected. Furthermore, the date may also be selected when specifying the time (for example, “9 o'clock on the 6th”, “10 o'clock on the 15th”, etc.).
  • the measurement point recommendation device 10 recommends measurement points for the air environment in rooms of an office building.
  • the measurement point recommendation device 10 determines measurement points based on information on people in the room during a peak time period when the number of people in the room is at its peak, and on determination conditions. It includes a first condition regarding the distance between the measurement point and the position of the person in the room, a second condition regarding the distance between the measurement point and the entrance/exit of the room, and a third condition regarding the passage width at the measurement point.
  • the measurement point recommendation device 10 outputs the determined measurement points.
  • the measurer can measure at the next highest priority measurement point, for example, even if there is a person at the measurement point with the highest priority. Furthermore, since a plurality of dates and time zones are presented, the measurer can select a convenient date and time zone for measurement.
  • the room entry/exit management system 80 generates room occupant data.
  • the present invention is not limited to this, and the position monitoring device 20 may generate the occupant data.
  • the position monitoring device 20 generates a people flow map
  • the measurement point recommendation device 10 generates a measurement point map based on the people flow map.
  • the present invention is not limited to this, and the location monitoring device 20 may generate a congestion degree map, and the measurement point recommendation device 10 may generate a measurement point map based on the congestion degree map.
  • the congestion degree map is a map of the room superimposed with information indicating the degree of crowding of people in the room.
  • the measurement point recommendation device 10 determines the measurement points and priority order based on the information on the people in the room including the congestion degree map and the determination conditions.
  • the human flow map or the congestion degree map may be generated by the measurement point recommendation device 10 based on data acquired from the position monitoring device 20.
  • FIG. 10 is a diagram for explaining processing executed by the measurement point recommendation system according to the modification.
  • the processing in FIG. 10 is the same as the processing in FIG. 3 except for the differences described above.
  • the measurement point recommendation device 10 requests data on the number of people in the room from the position monitoring device 20 (S31).
  • the position monitoring device 20 receives the request for data on the number of people in the room, it extracts the data on the number of people in the room (S41), and transmits the data on the number of people in the room to the measurement point recommendation device 10 (S42).
  • the position monitoring device 20 can measure the positions of employees and the like based on information from the wireless communication device 72 and information from the camera 70.
  • the position monitoring device 20 can count the number of employees, etc. in each room at each time from this position information.
  • the position monitoring device 20 generates data on the number of people in each room indicating the number of people in each room by time period, as shown in FIG. 4, from the number of employees and the like.
  • the measurement point recommendation device 10 acquires the data on the number of people in the room from the room entry/exit management system 80 (S32), it generates peak time period data (S33).
  • the measurement point recommendation device 10 requests a congestion degree map from the location monitoring device 20 (S34).
  • the location monitoring device 20 receives the request for a congestion degree map, it generates a congestion degree map (S43), and transmits the congestion degree map to the measurement point recommendation device 10 (S44).
  • FIG. 11 is a diagram showing an example of a congestion level map. An example in which the location monitoring device 20 generates a congestion degree map for A302 around 9 o'clock on October 6th will be described below.
  • the position monitoring device 20 stores information on the positions of people within the office building in the HDD 24 along with the time.
  • the location information of the person A302 at around 9:00 on October 6th is extracted from the information stored in the HDD 24. Then, similarly to FIG. 6, the extracted position information is plotted on the floor map.
  • the floor map is divided into multiple small sections.
  • the degree of congestion is set according to the number of location information plotted in each section.
  • each section is classified into congestion degree 1, congestion degree 2, congestion degree 3, and congestion degree 4 in descending order of the number of plotted position information.
  • an image with a congestion degree A1 is displayed in a section classified as a congestion degree 1
  • an image with a congestion degree A2 is displayed in a section classified as a congestion degree 2
  • an image with a congestion degree A3 is displayed in a section classified as a congestion degree 3.
  • An image with a congestion degree of A4 is displayed in a section classified into a congestion degree of 4.
  • the highest congestion degree A1 or the next highest congestion degree A2 are often displayed. It is shown that the further away from the door D, the more the image of congestion degree A3 or congestion degree A4 is displayed.
  • the measurement point recommendation device 10 Upon acquiring the congestion degree map from the position monitoring device 20 (S35), the measurement point recommendation device 10 executes measurement point map generation processing (S36).
  • S36 measurement point map generation processing
  • a congestion degree map is obtained, and measurement points are determined based on the determination conditions and information on people in the room (congestion degree map).
  • the measurement point map is generated by superimposing the measurement point information on the congestion level map.
  • condition 1 regarding the distance between the measurement point and the position of the person in the room, a position that avoids the position of the person in the room specified from the degree of congestion is determined as the measurement point.
  • FIG. 12 is a diagram showing an example of a measurement point map. Similar to the example of FIG. 8, measurement points P1 to P3 are superimposed on the congestion level map of FIG. 11 to generate a measurement point map. In this example, measurement points P1 to P3 are set at positions that avoid sections set with congestion degrees 1 to 4 (sections in which congestion degrees A1 to A4 are displayed). Other conditions and evaluation value calculation methods are the same as in the example of FIG. 8 .
  • the measurement point recommendation device 10 transmits the measurement point map to the terminal 30 (S37).
  • the terminal 30 receives the measurement point map from the measurement point recommendation device 10, it displays the measurement point map as shown in FIG. 12 (S46).
  • Measurement point recommendation device 20 Position monitoring device, 11, 21, 31 Processor, 12, 22, 32 ROM, 13, 23, 33 RAM, 14, 24 HDD, 15, 25, 36 Communication IF, 16, 26, 37 Data bus, 30 Terminal device, 34 Input unit, 35 Display, 45 Ceiling, 62, 72 Wireless communication device, 70 Camera, 80 Entry/exit control system, 81 Management device, 82 Card Reader, 91-94 screen, 100 measurement point recommendation system, NW communication network.

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Abstract

Provided is a measurement point recommendation device (10) that recommends an air environment measurement point in a room of a building. A processor (11) determines a measurement point on the basis of information pertaining to a room occupant in a peak time zone in which the number of room occupants in the room reaches the peak and a determination condition including a first condition related to a distance between a measurement point and the position of the room occupant. The processor (11) outputs the determined measurement point.

Description

測定位置推奨装置および測定位置推奨方法Measurement position recommendation device and measurement position recommendation method
　本開示は、建物の部屋における空気環境の測定位置を推奨する測定位置推奨装置および測定位置推奨方法に関する。 The present disclosure relates to a measurement position recommendation device and a measurement position recommendation method that recommend measurement positions of an air environment in a room of a building.
　ビル衛生管理法には、建物内の温度、二酸化炭素の濃度等の空気環境を測定し、測定結果が所定の基準を満たすか否かを確認することが義務づけられている。たとえば、特開２００１－１１６７４２号公報（特許文献１）には、建物内の空気環境の測定に関する技術が開示されている。 The Building Sanitation Management Act requires measuring the air environment such as temperature and carbon dioxide concentration inside a building, and confirming whether the measurement results meet predetermined standards. For example, Japanese Patent Laid-Open No. 2001-116742 (Patent Document 1) discloses a technique related to measuring the air environment inside a building.
　オフィスビル等の建物の管理者は、業務時間中に１日２回の空気環境測定を実施する必要があるが、どの時間に測定すべきなのかは法律上規定がない。このため、たとえば、午前と午後とに分けて任意のおおよその一定時刻に測定を行うなどしている。 Managers of buildings such as office buildings are required to conduct air environment measurements twice a day during business hours, but there are no legal regulations regarding when measurements should be taken. For this reason, for example, measurements are carried out at roughly fixed times in the morning and afternoon.
　一方で、たとえば、オフィスビルに入居する企業側には、従業員の安全管理という観点から、オフィス（部屋）内の在室人数がピークとなる時間帯であっても、二酸化炭素濃度等の値が基準値以下になっていることを確認したいというニーズがある。このように、現状では、建物管理者の空気環境測定の実施タイミングと、入居者側が希望する実施タイミングとが合致していない。 On the other hand, for example, from the perspective of employee safety management, companies that occupy office buildings are required to keep track of values such as carbon dioxide concentration even during times when the number of people in the office (room) is at its peak. There is a need to confirm that the value is below the standard value. As described above, currently, the timing of air environment measurement by the building manager and the timing desired by the occupants do not match.
特開２００１－１１６７４２号公報Japanese Patent Application Publication No. 2001-116742
　入居者のニーズに応えようとした場合、空気環境の測定者（建物管理者）は、部屋内の在室人数がピークとなっている状態において、在室者（従業員）の作業の妨げとならないように空気環境を測定する必要がある。ところが、部屋内が混雑した状態で空気環境を測定する場合、たとえば、狭い通路で測定することで在室者が通路を通れなくなったり、通行量の多い出入口前で測定することで在室者の通行の妨げとなったり、業務に必要な資料を置いている棚の前で測定することで在室者の業務の妨げとなりやすい。 When trying to meet the needs of residents, the person measuring the air environment (building manager) should check whether the number of people in the room is at its peak and if the number of people in the room is at its peak. It is necessary to measure the air environment to ensure that this does not occur. However, when measuring the air environment in a crowded room, for example, measuring in a narrow hallway may prevent the occupants from passing through, or measuring in front of a doorway with a lot of traffic may cause the occupants to be unable to pass through. It is likely to obstruct traffic or interfere with the work of the people in the room by taking measurements in front of shelves where materials necessary for work are kept.
　この場合、在室者の作業の妨げとなるだけでなく、在室者に不快な思いをさせてしまう。こうした状況を回避するために、室内の在室人数が少ない時間帯において空気環境を測定した場合は、入居者側のニーズに答えることができない。このように、建物管理者が空気環境の測定作業をしやすい条件と入居者のニーズを満たす条件とは相反する要素がある。 In this case, it not only interferes with the work of the people in the room, but also makes them feel uncomfortable. In order to avoid such a situation, if the air environment is measured during a time period when there are few people in the room, it will not be possible to meet the needs of the residents. As described above, there are conflicting factors between conditions that make it easy for building managers to measure the air environment and conditions that satisfy the needs of residents.
　入居者のニーズを満たしつつ円滑に空気環境を測定するためには、室内の混雑状況および利用状況を理解した上で、適切な作業位置および適切な作業タイミングを決定して測定作業を行う必要がある。しかしながら、このようにしようとすると、建物の状況を熟知した者でなければ対応が難しいという問題が発生する。 In order to smoothly measure the air environment while meeting the needs of residents, it is necessary to understand the congestion and usage conditions in the room, and then decide on the appropriate work location and timing before carrying out the measurement work. be. However, when attempting to do this, a problem arises in that it is difficult to deal with it unless someone is familiar with the situation of the building.
　本開示は、かかる問題を解決するためになされたものであり、本開示の目的は、建物に不慣れな測定者であっても好適な位置および時間帯で空気環境を測定することができる測定位置推奨装置および測定位置推奨方法を提供することである。 The present disclosure has been made to solve such problems, and the purpose of the present disclosure is to provide a measurement position that allows even a measurer who is unfamiliar with buildings to measure the air environment at a suitable location and time. An object of the present invention is to provide a recommended device and a method for recommending measurement positions.
　本開示に従う測定位置推奨装置は、建物の部屋における空気環境の測定位置を推奨する装置である。測定位置推奨装置は、プロセッサと、プロセッサによって実行可能なプログラムを記憶するメモリとを備える。プロセッサは、部屋の在室者数がピークになるピーク時間帯における在室者の情報と、測定位置と在室者の位置との距離に関する第１条件を含む決定条件とに基づき、測定位置を決定する。プロセッサは、決定した測定位置を出力する。 A measurement position recommendation device according to the present disclosure is a device that recommends a measurement position of an air environment in a room of a building. The measurement position recommendation device includes a processor and a memory that stores a program executable by the processor. The processor determines the measurement position based on information about the occupants in the room during a peak time period when the number of occupants in the room is at its peak, and a determination condition including a first condition regarding the distance between the measurement position and the position of the occupant. decide. The processor outputs the determined measurement position.
　測定位置推奨方法は、建物の部屋における空気環境の測定位置を推奨する方法である。測定位置推奨方法は、部屋の在室者数がピークになるピーク時間帯における在室者の情報と、測定位置と在室者の位置との距離に関する第１条件を含む決定条件とに基づき、測定位置を決定するステップと、決定した測定位置を出力するステップとを備える。 The measurement position recommendation method is a method of recommending the measurement position of the air environment in a room of a building. The measurement position recommendation method is based on information on people in the room during a peak time period when the number of people in the room is at its peak, and determination conditions including a first condition regarding the distance between the measurement position and the position of the people in the room. The method includes a step of determining a measurement position and a step of outputting the determined measurement position.
　本開示によれば、建物に不慣れな測定者であっても好適な位置および時間帯で空気環境を測定することができる。 According to the present disclosure, even a measurer who is unfamiliar with buildings can measure the air environment at a suitable location and time.
本開示の実施の形態に従う測定ポイント推奨システムの全体構成図である。1 is an overall configuration diagram of a measurement point recommendation system according to an embodiment of the present disclosure. 測定ポイント推奨システムのハードウェア構成を示す図である。FIG. 2 is a diagram showing the hardware configuration of a measurement point recommendation system. 測定ポイント推奨システムが実行する処理を説明するための図である。FIG. 2 is a diagram for explaining processing executed by the measurement point recommendation system. 在室者数データの一例を示す図である。FIG. 3 is a diagram showing an example of data on the number of people in the room. ピーク時間帯データの一例を示す図である。It is a figure which shows an example of peak time zone data. 人流マップの一例を示す図である。It is a figure showing an example of a people flow map. 測定ポイントマップ生成処理のフローチャートである。It is a flowchart of measurement point map generation processing. 測定ポイントマップの一例を示す図である。It is a figure showing an example of a measurement point map. 端末における画面表示例を示す図である。FIG. 3 is a diagram showing an example of a screen display on a terminal. 変形例に係る測定ポイント推奨システムが実行する処理を説明するための図である。It is a figure for explaining the process which the measurement point recommendation system concerning a modification performs. 混雑度マップの一例を示す図である。FIG. 3 is a diagram showing an example of a congestion level map. 測定ポイントマップの一例を示す図である。It is a figure showing an example of a measurement point map.
　以下、本開示の実施の形態について、図面を参照しながら詳細に説明する。なお、図中の同一または相当部分には同一符号を付してその説明は繰り返さない。 Hereinafter, embodiments of the present disclosure will be described in detail with reference to the drawings. Note that the same or corresponding parts in the figures are denoted by the same reference numerals, and the description thereof will not be repeated.
　図１は、本開示の実施の形態に従う測定ポイント推奨システム１００の全体構成図である。図１に示すように、測定ポイント推奨システム１００は、測定ポイント推奨装置（「測定位置推奨装置」とも称する）１０と、位置監視装置２０と、端末３０と、入退室管理システム８０と、複数の無線通信機７２と、複数のカメラ７０とを備える。 FIG. 1 is an overall configuration diagram of a measurement point recommendation system 100 according to an embodiment of the present disclosure. As shown in FIG. 1, the measurement point recommendation system 100 includes a measurement point recommendation device (also referred to as a "measurement position recommendation device") 10, a position monitoring device 20, a terminal 30, an entry/exit control system 80, and a plurality of It includes a wireless communication device 72 and a plurality of cameras 70.
　測定ポイント推奨装置１０は、建物の部屋における空気環境の測定ポイント（「測定位置」とも称する）を推奨する装置である。測定ポイント（測定位置）とは、ビル衛生管理法に定められた、建物内の温度、二酸化炭素の濃度等の空気環境を測定する位置である。 The measurement point recommendation device 10 is a device that recommends measurement points (also referred to as "measurement positions") of the air environment in rooms of a building. A measurement point (measurement position) is a position defined in the Building Sanitation Management Act at which the air environment such as temperature and carbon dioxide concentration inside a building is measured.
　本実施の形態における「部屋」とは、建物において壁等で仕切られた区画を示し、「室」とも称する。また、部屋は、居室以外にも共用部分である廊下、ロビー等の区画も含むものであってもよい。 A "room" in this embodiment refers to a section of a building partitioned off by walls, etc., and is also referred to as a "room." In addition to the living room, a room may also include a common area such as a hallway or a lobby.
　本実施の形態では、建物の一例としてオフィスビル内の測定ポイントを推奨する場合を例として説明する。本オフィスビルには、ビルを管理するビル管理者が駐在している。ビル管理者（「測定者」とも称する）は、ビル衛生管理法に従って空気環境を測定する。 In this embodiment, a case will be described in which a measurement point in an office building is recommended as an example of a building. A building manager who manages the building is stationed in this office building. A building manager (also referred to as a "measuring person") measures the air environment in accordance with the Building Sanitation Management Act.
　本実施の形態において、オフィスビル内には、複数の会社が入居しているものとする。各会社は、１または複数の部屋（居室）を使用している。各会社の従業員は、ＩＣカードを所持しているものとする。従業員は、各部屋の出入口に設置されたカードリーダにＩＣカードを読み取らせて、各部屋に入退室するものとする。各部屋への入退室は入退室管理システム８０により管理されている。 In this embodiment, it is assumed that multiple companies are located within the office building. Each company uses one or more rooms (rooms). It is assumed that employees of each company have an IC card. Employees enter and exit each room by having their IC card read by a card reader installed at the entrance of each room. Entry/exit to each room is managed by an entry/exit management system 80.
　測定ポイント推奨装置１０、位置監視装置２０、端末３０および入退室管理システム８０は、通信網ＮＷ（代表的には、インターネット）を介して互いに通信可能に構成されている。オフィスビル内には、複数の無線通信機７２および複数のカメラ７０が設置されており、これらによって、オフィスビル内の従業員等（警備員、清掃員等も含む）の現在位置が計測可能に構成されている。 The measurement point recommendation device 10, the position monitoring device 20, the terminal 30, and the room entry/exit management system 80 are configured to be able to communicate with each other via a communication network NW (typically, the Internet). A plurality of wireless communication devices 72 and a plurality of cameras 70 are installed inside the office building, and these make it possible to measure the current location of employees, etc. (including security guards, cleaning staff, etc.) within the office building. It is configured.
　たとえば、無線通信機６２はカード型の通信機であり、従業員４は無線通信機６２を携帯している。無線通信機６２は、たとえば、ＢＬＥ（Bluetooth　Low　Energy、「Bluetooth」が登録商標）通信規格に従う通信方式を用いて、従業員４の位置を検出するための信号を発信する。ＢＬＥ通信規格に代えて、ＵＷＢ（Ultra　Wide　Band）通信規格等に従う通信方式を用いてもよい。または、無線通信機６２は、例えばＬＴＥ（Long　Term　Evolution）等の無線通信規格に従う通信方式を用いて、従業員４を識別するためのＩＤ（Identification）等を示す信号等を位置監視装置２０へ送信する。 For example, the wireless communication device 62 is a card-type communication device, and the employee 4 carries the wireless communication device 62. The wireless communication device 62 transmits a signal for detecting the position of the employee 4 using, for example, a communication method according to the BLE (Bluetooth Low Energy, "Bluetooth" is a registered trademark) communication standard. Instead of the BLE communication standard, a communication method based on the UWB (Ultra Wide Band) communication standard or the like may be used. Alternatively, the wireless communication device 62 sends a signal or the like indicating an ID (Identification) for identifying the employee 4 to the position monitoring device 20 using a communication method that conforms to a wireless communication standard such as LTE (Long Term Evolution). Send.
　複数の無線通信機７２および複数のカメラ７０は、例えば、オフィスビルの天井４５に適当な距離をおいて設置される。複数の無線通信機７２は、従業員４の無線通信機６２と同じ通信規格に従う通信方式を用いて、従業員４の無線通信機６２から発生される信号を受信するとともに、その受信強度を検知する。無線通信機７２における受信強度から、オフィスビル内における従業員４の位置を測定することができる。無線通信機７２は、従業員４の無線通信機６２から受信した信号の受信強度を位置監視装置２０へ出力する。 The plurality of wireless communication devices 72 and the plurality of cameras 70 are installed, for example, on the ceiling 45 of an office building at an appropriate distance. The plurality of wireless communication devices 72 receive signals generated from the wireless communication device 62 of the employee 4 using a communication method that follows the same communication standard as the wireless communication device 62 of the employee 4, and detect the reception strength of the signal. do. The position of the employee 4 within the office building can be determined from the reception strength at the wireless communication device 72. The wireless communication device 72 outputs the reception strength of the signal received from the wireless communication device 62 of the employee 4 to the position monitoring device 20.
　カメラ７０は、オフィスビル内を撮像し、撮像画像（動画像）を位置監視装置２０へ出力する。撮像画像には、オフィスビル内に存在する従業員等の画像が含まれている。なお、無線通信機７２およびカメラ７０は、壁に設置されてもよい。 The camera 70 images the inside of the office building and outputs the captured image (moving image) to the position monitoring device 20. The captured images include images of employees and the like existing in the office building. Note that the wireless communication device 72 and camera 70 may be installed on a wall.
　位置監視装置２０には、天井４５に設置された複数の無線通信機７２およびカメラ７０が通信接続されている。本実施の形態における位置監視装置２０は、屋内位置情報装置および監視カメラ装置を含む。屋内位置情報装置は、無線通信機７２からの情報に基づき従業員４の位置情報を管理する。監視カメラ装置は、カメラ７０からの情報に基づき従業員５の位置情報を管理する。 A plurality of wireless communication devices 72 and a camera 70 installed on the ceiling 45 are communicatively connected to the position monitoring device 20. The position monitoring device 20 in this embodiment includes an indoor position information device and a surveillance camera device. The indoor position information device manages the position information of the employee 4 based on information from the wireless communication device 72. The surveillance camera device manages position information of the employee 5 based on information from the camera 70.
　位置監視装置２０は、屋内位置情報装置および監視カメラ装置を含んで構成されるものであってもよいし、屋内位置情報装置および監視カメラ装置のいずれかを含んで構成されるものであってもよい。 The position monitoring device 20 may be configured to include an indoor location information device and a surveillance camera device, or may be configured to include either an indoor location information device or a surveillance camera device. good.
　位置監視装置２０（屋内位置情報装置）は、無線通信機７２において受信される信号の受信強度を無線通信機７２から受信し、各無線通信機７２における受信強度から、オフィスビル内における従業員等の位置を測定する。また、位置監視装置２０（監視カメラ装置）は、カメラ７０からの撮像画像（動画像）に基づいて、従業員等の位置を測定する。さらに、位置監視装置２０は、無線通信機６２の位置情報およびカメラ７０からの撮像画像（動画像）に基づいて、人流データ（「動線データ」とも称する）を生成する。位置監視装置２０は、人流データを、通信網ＮＷを経由して測定ポイント推奨装置１０へ送信可能である。 The position monitoring device 20 (indoor position information device) receives the reception strength of the signal received by the wireless communication device 72 from the wireless communication device 72, and determines the location of employees, etc. in the office building based on the reception strength of each wireless communication device 72. Measure the position of. Further, the position monitoring device 20 (surveillance camera device) measures the positions of employees and the like based on captured images (moving images) from the camera 70. Furthermore, the position monitoring device 20 generates people flow data (also referred to as "flow line data") based on the position information of the wireless communication device 62 and the captured image (moving image) from the camera 70. The position monitoring device 20 can transmit the human flow data to the measurement point recommendation device 10 via the communication network NW.
　なお、オフィスビル内の各部屋には、無線通信機７２およびカメラ７０のいずれかが設置されていればよい。部屋に無線通信機７２が設置されている場合は、無線通信機７２を用いて部屋内の従業員の位置情報を取得する。部屋にカメラ７０が設置されている場合は、カメラ７０を用いて部屋内の従業員の位置情報を取得する。 Note that either the wireless communication device 72 or the camera 70 may be installed in each room in the office building. If a wireless communication device 72 is installed in the room, the wireless communication device 72 is used to obtain position information of the employee in the room. If a camera 70 is installed in the room, the camera 70 is used to obtain position information of the employee in the room.
　測定ポイント推奨装置１０は、オフィスビルのビル管理者３に対して、オフィスビルの各部屋における空気環境の測定ポイントを推奨する。具体的には、測定ポイント推奨装置１０は、ピーク時間帯における複数の測定ポイントを部屋ごとに決定する。ビル管理者３は、決定された測定ポイントを端末３０上で確認することができる。 The measurement point recommendation device 10 recommends measurement points for the air environment in each room of the office building to the building manager 3 of the office building. Specifically, the measurement point recommendation device 10 determines a plurality of measurement points for each room during the peak time period. The building manager 3 can check the determined measurement points on the terminal 30.
　なお、本実施の形態では、位置監視装置２０と測定ポイント推奨装置１０を別体として構成されているが、これに限定されず、一つのサーバ装置として構成してもよい。 Note that in this embodiment, the position monitoring device 20 and the measurement point recommendation device 10 are configured as separate bodies, but the present invention is not limited to this, and they may be configured as a single server device.
　端末３０は、通信網ＮＷを介して、測定ポイント推奨装置１０と通信可能に接続されている。端末３０は、通信機能および表示機能を有する情報処理装置であり、代表的にはスマートフォンまたはタブレットである。端末３０は、ビル管理者３等によって利用され得る。なお、端末３０は、スマートフォンまたはタブレット等の携帯端末に限定されず、オフィスビル内に設置されたＰＣ（Personal　Computer）等であってもよい。 The terminal 30 is communicably connected to the measurement point recommendation device 10 via the communication network NW. The terminal 30 is an information processing device having a communication function and a display function, and is typically a smartphone or a tablet. The terminal 30 may be used by the building manager 3 or the like. Note that the terminal 30 is not limited to a mobile terminal such as a smartphone or a tablet, but may also be a PC (Personal Computer) installed in an office building.
　端末３０は、典型的には、ウェブブラウザを有している。端末３０は、測定ポイント推奨装置１０にアクセスし、画面データ（ＷＥＢ画面）を自装置に表示する。あるいは、インストールされた専用のアプリケーションソフトウェアを用いて端末３０から測定ポイント推奨装置１０にアクセスするようにしてもよい。 The terminal 30 typically has a web browser. The terminal 30 accesses the measurement point recommendation device 10 and displays screen data (WEB screen) on its own device. Alternatively, the measurement point recommendation device 10 may be accessed from the terminal 30 using installed dedicated application software.
　図２は、測定ポイント推奨システム１００のハードウェア構成を示す図である。上述のように、測定ポイント推奨システム１００は、測定ポイント推奨装置１０と、位置監視装置２０と、端末３０と、入退室管理システム８０と、複数の無線通信機７２と、複数のカメラ７０とを備える。 FIG. 2 is a diagram showing the hardware configuration of the measurement point recommendation system 100. As described above, the measurement point recommendation system 100 includes the measurement point recommendation device 10, the position monitoring device 20, the terminal 30, the room entry/exit management system 80, the plurality of wireless communication devices 72, and the plurality of cameras 70. Be prepared.
　測定ポイント推奨装置１０は、主たる構成要素として、プログラムを実行するプロセッサ１１と、データを不揮発的に格納するＲＯＭ（Read　Only　Memory）１２と、プロセッサ１１によるプログラムの実行により生成されたデータ、または、入力装置を介して入力されたデータを揮発的に格納するＲＡＭ（Random　Access　Memory）１３と、データを不揮発的に格納するＨＤＤ（Hard　Disk　Drive）１４と、通信ＩＦ（Interface）１５とを含む。各構成要素は、相互にデータバス１６によって接続されている。 The measurement point recommendation device 10 includes, as main components, a processor 11 that executes a program, a ROM (Read Only Memory) 12 that stores data in a non-volatile manner, and data generated by the execution of the program by the processor 11, or It includes a RAM (Random Access Memory) 13 that volatilely stores data input through an input device, an HDD (Hard Disk Drive) 14 that stores data nonvolatilely, and a communication IF (Interface) 15. Each component is interconnected by a data bus 16.
　なお、通信ＩＦ１５は、入退室管理システム８０、位置監視装置２０および端末３０と、測定ポイント推奨装置１０との間で通信を行うためのインターフェイスである。ＨＤＤ１４は、各種データを格納する。なお、測定ポイント推奨装置１０は、ＨＤＤ１４の代わりに、または、ＨＤＤ１４とともに他の不揮発性記憶装置を備えていてもよい。 Note that the communication IF 15 is an interface for communicating between the entry/exit management system 80, the position monitoring device 20, and the terminal 30, and the measurement point recommendation device 10. The HDD 14 stores various data. Note that the measurement point recommendation device 10 may include other nonvolatile storage devices instead of the HDD 14 or in addition to the HDD 14.
　位置監視装置２０は、主たる構成要素として、プロセッサ２１、ＲＯＭ２２、ＲＡＭ２３、ＨＤＤ２４、および通信ＩＦ２５を含む。各構成要素は、相互にデータバス２６によって接続されている。通信ＩＦ２５は、測定ポイント推奨装置１０、無線通信機７２およびカメラ７０との間で通信を行なうためのインターフェイスである。ＨＤＤ２４は、従業員等の情報、オフィスビルの情報、従業員等の位置情報等を記憶する。 The position monitoring device 20 includes a processor 21, ROM 22, RAM 23, HDD 24, and communication IF 25 as main components. Each component is interconnected by a data bus 26. The communication IF 25 is an interface for communicating with the measurement point recommendation device 10, the wireless communication device 72, and the camera 70. The HDD 24 stores information on employees and the like, information on office buildings, location information on employees and the like.
　なお、図２には、プロセッサ１１，２１，３１の各々がプログラムを実行することによって必要な処理が提供される構成例を示したが、これらの提供される処理の一部または全部を、専用のハードウェア回路（例えば、ＡＳＩＣ（Application　Specific　Integrated　Circuit）またはＦＰＧＡ（Field-Programmable　Gate　Array）等を用いて実装してもよい。 Note that although FIG. 2 shows an example of a configuration in which necessary processing is provided by each of the processors 11, 21, and 31 executing a program, some or all of these provided processing may be It may be implemented using a hardware circuit (for example, an ASIC (Application Specific Integrated Circuit) or an FPGA (Field-Programmable Gate Array)).
　端末３０は、主たる構成要素として、プロセッサ３１、ＲＯＭ３２、ＲＡＭ３３、入力部３４、ディスプレイ３５、および通信ＩＦ３６を含む。各構成要素は、相互にデータバス３７によって接続されている。入力部３４は、ユーザ（例えば、ビル管理者等）からの入力を受け付ける。ディスプレイ３５は、プロセッサ１１での処理結果を表示する。入力部３４とディスプレイ３５とを一体化したタッチパネルディスプレイを採用してもよい。通信ＩＦ３６は、測定ポイント推奨装置１０との間で通信を行なうためのインターフェイスである。ＨＤＤ３４は、インストールされたアプリケーションソフトウェア等を記憶する。 The terminal 30 includes a processor 31, ROM 32, RAM 33, input section 34, display 35, and communication IF 36 as main components. Each component is interconnected by a data bus 37. The input unit 34 receives input from a user (for example, a building manager, etc.). The display 35 displays the processing results of the processor 11. A touch panel display in which the input section 34 and the display 35 are integrated may be adopted. The communication IF 36 is an interface for communicating with the measurement point recommendation device 10. The HDD 34 stores installed application software and the like.
　位置監視装置２０は、従業員等の動きを監視する。位置監視装置２０には、天井４５に設置された複数の無線通信機７２およびカメラ７０が通信接続されている。複数の無線通信機７２およびカメラ７０は、天井４５に適当な距離をおいて設置され、オフィスビル内に存在する従業員４，５の動きを検知するために用いられる。従業員４が所持する無線通信機６２は、無線通信機７２と同様に、ＢＬＥ通信規格またはＵＷＢ通信規格等に従う通信方式を用いて、従業員４の位置を検出するための信号を発信する。 The position monitoring device 20 monitors the movements of employees and the like. A plurality of wireless communication devices 72 and a camera 70 installed on the ceiling 45 are communicatively connected to the position monitoring device 20 . A plurality of wireless communication devices 72 and cameras 70 are installed on the ceiling 45 at an appropriate distance, and are used to detect the movements of the employees 4 and 5 within the office building. The wireless communication device 62 owned by the employee 4, like the wireless communication device 72, transmits a signal for detecting the position of the employee 4 using a communication method according to the BLE communication standard or the UWB communication standard.
　無線通信機７２は、従業員４が所持する無線通信機６２と同じ通信規格に従う通信方式を用いて、無線通信機６２から発生される信号を受信するとともに、その受信強度を検知する。無線通信機７２は、無線通信機６２から受信した信号の受信強度を位置監視装置２０へ出力する。カメラ７０は、オフィスビル内を撮像し、撮像画像（動画像）を位置監視装置２０へ出力する。撮像画像には、オフィスビル内を通行する従業員５の画像が含まれている。 The wireless communication device 72 receives the signal generated from the wireless communication device 62 and detects the reception strength using a communication method that follows the same communication standard as the wireless communication device 62 owned by the employee 4. The wireless communication device 72 outputs the reception strength of the signal received from the wireless communication device 62 to the position monitoring device 20. The camera 70 images the inside of the office building and outputs the captured image (moving image) to the position monitoring device 20. The captured image includes an image of the employee 5 passing through the office building.
　位置監視装置２０は、無線通信機７２において受信される信号の受信強度を無線通信機７２から受信し、各無線通信機７２における受信強度からオフィスビル内における従業員４の位置を測定する。また、位置監視装置２０は、公知の画像解析技術を用いて、複数のカメラ７０による撮像画像から従業員５の位置を測定する。 The position monitoring device 20 receives the reception strength of the signal received by the wireless communication device 72 from the wireless communication device 72, and measures the position of the employee 4 within the office building from the reception strength at each wireless communication device 72. Furthermore, the position monitoring device 20 measures the position of the employee 5 from images captured by the plurality of cameras 70 using a known image analysis technique.
　位置監視装置２０は、これらの位置の測定情報に基づいて、オフィスビル内の各部屋における人流を示す人流データ（人の動線を示す動線データ）を生成する。これらの人流データは、履歴情報としてＨＤＤ２４に記憶される。位置監視装置２０は、生成した人流データ（履歴情報）を、通信網ＮＷを経由して測定ポイント推奨装置１０へ送信可能である。 The position monitoring device 20 generates people flow data (flow line data indicating people's flow lines) indicating the flow of people in each room in the office building based on the measurement information of these positions. These people flow data are stored in the HDD 24 as historical information. The position monitoring device 20 can transmit the generated people flow data (historical information) to the measurement point recommendation device 10 via the communication network NW.
　入退室管理システム８０は、オフィスビルの各部屋での入退室を管理するシステムである。入退室管理システム８０は、管理装置８１と、複数のカードリーダ８２とを備える。管理装置６１は、カードリーダ８２を制御し、入退室を管理する装置である。カードリーダ８２は、居室の入口および出口に設置され、入退室する際に使用される。 The room entry/exit management system 80 is a system that manages entry/exit from each room of an office building. The room entry/exit management system 80 includes a management device 81 and a plurality of card readers 82 . The management device 61 is a device that controls the card reader 82 and manages entry and exit from the room. The card reader 82 is installed at the entrance and exit of the living room and is used when entering and leaving the room.
　従業員が所持するＩＣカードを居室の入口に設置されたカードリーダ８２に読み取らせると、居室の扉が解錠されて従業員が入室可能となる。従業員が所持するＩＣカードを居室の出口に設置されたカードリーダ８２に読み取らせると、居室の扉が解錠されて従業員が退室可能となる。 When the IC card carried by the employee is read by the card reader 82 installed at the entrance to the room, the door to the room will be unlocked and the employee can enter the room. When the IC card carried by the employee is read by a card reader 82 installed at the exit of the room, the door to the room is unlocked and the employee can leave the room.
　入退室管理システム８０は、複数のカードリーダ８２から取得した入退室情報を部屋（居室）ごとに管理している。入退室管理システム８０は、居室への入室者情報と居室への退室者情報に基づいて、居室における現在の在室者数をカウントして、これを在室者数データ（後述の図４参照）として保持している。 The room entry/exit management system 80 manages entry/exit information obtained from a plurality of card readers 82 for each room (resident room). The room entry/exit management system 80 counts the current number of people in the room based on information on people entering the room and information on people leaving the room, and converts this into data on the number of people in the room (see FIG. 4 described later). ).
　次に、測定ポイント推奨システム１００が実行する処理を説明する。図３は、測定ポイント推奨システム１００が実行する処理を説明するための図である。本処理は、測定ポイント推奨装置１０、入退室管理システム８０、位置監視装置２０および端末３０が実行する処理により構成される。本処理において、最終的には、測定ポイント推奨装置１０が生成された測定ポイントマップが端末３０上で表示される。 Next, the processing executed by the measurement point recommendation system 100 will be explained. FIG. 3 is a diagram for explaining the processing executed by the measurement point recommendation system 100. This process is comprised of processes executed by the measurement point recommendation device 10, the room entry/exit management system 80, the position monitoring device 20, and the terminal 30. In this process, the measurement point map generated by the measurement point recommendation device 10 is finally displayed on the terminal 30.
　まず、測定ポイント推奨装置１０は、入退室管理システム８０に対して在室者数データを要求する（Ｓ１１）。入退室管理システム８０は、在室者数データの要求を受信すると、在室者数データを抽出する（Ｓ２１）。 First, the measurement point recommendation device 10 requests data on the number of people in the room from the room entry/exit management system 80 (S11). When the room entry/exit management system 80 receives the request for the data on the number of people in the room, it extracts the data on the number of people in the room (S21).
　図４は、在室者数データの一例を示す図である。在室者数データは、日付、時間帯および部屋名に対応する在室者数が記録されたデータである。在室者数データは、「日付」に記録された日付において、「時間帯」に記録された時間帯での、「部屋名」に記録された部屋（居室）での「在室者数」を示すデータである。 FIG. 4 is a diagram showing an example of data on the number of people in the room. The data on the number of people in the room is data in which the number of people in the room corresponding to the date, time zone, and room name is recorded. The data on the number of people in the room is the "number of people in the room" in the room (occupancy) recorded in "Room Name" on the date recorded in "Date", during the time period recorded in "Time Zone". This is data showing.
　ここで、オフィスビルには、Ｘ社を含む複数の会社が入居しており、Ｘ社の従業員は、Ａ３０２およびＡ３０３の居室を含む複数の居室で働いているものとする。Ａ３０２に自席があるＸ社の従業員は、Ａ３０２の出入口に設置されたカードリーダ８２に、自身が所持するＩＣカードをかざして入退室を行う。 Here, it is assumed that the office building is occupied by multiple companies including Company X, and employees of Company X work in multiple rooms including rooms A302 and A303. An employee of Company X whose seat is in A302 enters and leaves the room by swiping his or her own IC card over the card reader 82 installed at the entrance of A302.
　入退室管理システム８０は、このカードリーダ８２からの入退室データに基づき、Ａ３０２の在室者数をカウントする。入退室管理システム８０は、Ａ３０２の入口のカードリーダを用いて入室処理が行われた場合は、Ａ３０２内の在室者数を１人増加させる。入退室管理システム８０は、Ａ３０２の出口のカードリーダを用いて退室処理が行われた場合は、Ａ３０２内の在室者数を１人減少させる。 The room entry/exit management system 80 counts the number of people in the room A302 based on the entry/exit data from the card reader 82. When the room entry process is performed using the card reader at the entrance of A302, the room entry/exit management system 80 increases the number of people in the room A302 by one. When exit processing is performed using the card reader at the exit of A302, the room entry/exit management system 80 reduces the number of people in the room A302 by one.
　入退室管理システム８０は、１時間毎に在室者数を集計する。たとえば、入退室管理システム８０は、８：００～９：００における１分ごとの入退室者数の平均値を算出し、８時台の時間帯の在室者数として在室者数データに記録する。 The room entry/exit management system 80 counts the number of people in the room every hour. For example, the room entry/exit control system 80 calculates the average value of the number of people entering and leaving the room every minute from 8:00 to 9:00, and uses the data as the number of people in the room between 8:00 and 9:00. Record.
　たとえば、図４の例では、１０月６日の８：００～９：００の１時間（８時台）でＡ３０２の部屋において在室者数（の平均）が１０人であったことが示されている。同様に、１０月６日の９：００～１０：００（９時台）の１時間でＡ３０２において在室者数が５０人であることが示されている。以下、Ａ３０２の在室者数は、５７人（１０時台）、３６人（１１時台）、２８人（１２時台）、４０人（１３時台）、４５人（１４時台）・・・と推移していることが示されている。 For example, the example in Figure 4 shows that the (average) number of people in room A302 was 10 for one hour from 8:00 to 9:00 (around 8:00) on October 6th. has been done. Similarly, it is shown that there were 50 people in A302 for one hour from 9:00 to 10:00 (9 o'clock) on October 6th. Below, the number of people in A302 is 57 (10 o'clock), 36 (11 o'clock), 28 (12 o'clock), 40 (13 o'clock), 45 (14 o'clock). It is shown that...
　また、Ａ３０３において、１０月６日の在室者数は３０人（８時台）、５人（９時台）、５人（１０時台）、１０人（１１時台）、２０人（１２時台）、１０人（１３時台）、５人（１４時台）・・・と推移していることが示されている。 In addition, in A303, the number of people in the room on October 6th was 30 (8 o'clock), 5 (9 o'clock), 5 (10 o'clock), 10 (11 o'clock), 20 ( 12:00), 10 (13:00), 5 (14:00), etc.
　上記例においては、１０月６日のＡ３０２およびＡ３０３のデータを例示しているが、在室者数データには、１０月６日を含む直近の複数日（たとえば、３６５日）における、オフィスビル内の全ての部屋のデータが記録されている。 In the above example, the data for A302 and A303 on October 6th is illustrated, but the data on the number of people in the office building for the most recent multiple days (for example, 365 days) including October 6th is used as an example. Data for all rooms in the room are recorded.
　図３に戻り、入退室管理システム８０は、測定ポイント推奨装置１０に対して、在室者数データを送信する（Ｓ２２）。測定ポイント推奨装置１０は、入退室管理システム８０から在室者数データを取得する（Ｓ１２）。次に、測定ポイント推奨装置１０は、ピーク時間帯データを生成する（Ｓ１３）。 Returning to FIG. 3, the room entry/exit management system 80 transmits the data on the number of people in the room to the measurement point recommendation device 10 (S22). The measurement point recommendation device 10 acquires data on the number of people in the room from the room entry/exit management system 80 (S12). Next, the measurement point recommendation device 10 generates peak time period data (S13).
　本実施の形態においては、月に１回、空気環境の測定を行うものとする。当月において空気環境を測定すべき日として、１ヶ月の中で最も在室者数が多くなりそうな日を選択すればよい。たとえば、取得した１年分（３６５日）の在室者数データのそれぞれの日について各時間帯の在室者数の総和を算出する。そして、在室者数の総和が多くなる複数の日を測定日の候補として設定するようにしてもよい。 In this embodiment, it is assumed that the air environment is measured once a month. The day in a month when the number of people in the room is likely to be the largest may be selected as the day on which the air environment should be measured in the current month. For example, the total sum of the number of people in the room for each time period is calculated for each day of the acquired data on the number of people in the room for one year (365 days). Then, a plurality of days on which the total number of people in the room increases may be set as measurement date candidates.
　たとえば、毎月、６日に在室者数の総和（各月の平均値）が最も多くなり、１５日に在室者数の総和（各月の平均値）が次に多くなるのであれば、６日、１５日を候補日として抽出するようにしてもよい。 For example, if the total number of people in the room (average value for each month) is the highest on the 6th of every month, and the total number of people in the room (average value for each month) is the next highest on the 15th, then The 6th and 15th may be extracted as candidate dates.
　あるいは、第１月曜日～第１金曜日、第２月曜日～第２金曜日・・・のように日付を分類してもよいし、月の第１出勤日（休日を含まない）、第２出勤日、第３出勤日・・・のように日付を分類してもよい。たとえば、営業部がある居室（部屋）であって、営業の打合せがある第１出勤日（平日）は全員出社するといったような場合、第１出勤日が候補日として抽出され得る。また、朝礼により朝の９時台が最も人が多くなる（その他の時間帯は外回りで外出する）のであれば、９時台が混雑時間帯として抽出される。部屋内が混雑する（ピークとなる）日付・時間帯は、たとえば、過去１年分あるいは２年分のデータから公知の統計処理により推測させるようにしてもよい。 Alternatively, dates may be categorized as 1st Monday to 1st Friday, 2nd Monday to 2nd Friday, etc., or the first working day of the month (not including holidays), the second working day of the month, etc. Dates may be classified as 3rd working day... For example, in a case where a sales department is located in a room where everyone comes to work on the first working day (weekday) when there is a sales meeting, the first working day may be extracted as a candidate day. Furthermore, if the most people are around 9:00 a.m. due to morning meetings (people go out on the outside at other times), then 9:00 a.m. is extracted as the busy time. The date and time period when the room is crowded (at its peak) may be estimated using known statistical processing from data for the past one or two years, for example.
　図５は、ピーク時間帯データの一例を示す図である。本例では、簡単のため、過去３０日分のデータを取得し、最も在室者数の総和が多かった「６日」（本例では、１０月６日）のデータを候補日のデータとして選択したものとする。ピーク時間帯データは、在室者数データにおいて各部屋の在室者数が多い時間帯のデータが抽出されたものである。各部屋において在室者数が最も多い時間帯と次に多い時間帯のデータを抽出してもよい。 FIG. 5 is a diagram showing an example of peak time zone data. In this example, for simplicity, we acquire data for the past 30 days, and use the data for "6th" (October 6th in this example), which had the largest total number of people in the room, as candidate day data. Assume that you have selected it. The peak time period data is data extracted from the data on the number of people in a room during a time period when the number of people in each room is large. Data for a time period with the highest number of people in each room and a time period with the next highest number of occupants may be extracted.
　図４の例では、Ａ３０２において最も在室者数が多くなる時間帯は１０時台（５７人）であり、次に在室者数が多くなる時間帯は９時台（５０人）である。Ａ３０３において最も在室者数が多くなる時間帯は８時台（３０人）であり、次に在室者数が多くなる時間帯は１２時台（２０人）である。このため、これらのデータを抽出して、図５に示すようなピーク時間帯データを生成している。 In the example in Figure 4, the time period when the number of people in the room is the largest in A302 is around 10 o'clock (57 people), and the time period when the number of people in the room is the next highest is around 9 o'clock (50 people). . In A303, the time period when the number of people in the room is the largest is around 8 o'clock (30 people), and the time period when the number of people in the room is the next largest is around 12 o'clock (20 people). For this reason, these data are extracted to generate peak time period data as shown in FIG.
　なお、本例においては、１時間ごとに時間帯を区切っているが、これに限らず、１５分ごとに時間帯を区切ってもよく、３０分ごとに時間帯を区切ってもよい。また、在室者数が最も多いデータを２つ抽出するものに限らず、３つ以上抽出するものであってもよい。また、過去３０日分のピーク時間帯データを取得し、３０日×２４時間分の在室者数データのうち在室者数が多い順に複数（２つ、または、３つ以上）のデータを部屋ごとに抽出するようにしてもよい。 Note that in this example, the time slots are divided into 1-hour intervals, but the time slots are not limited to this, and the time slots may be divided into 15-minute intervals or 30-minute intervals. Furthermore, the method is not limited to extracting two pieces of data indicating the largest number of people in the room, but may extract three or more pieces of data. In addition, we obtain peak time period data for the past 30 days, and collect multiple (two or more) pieces of data in descending order of the number of people in the room from among the data on the number of people in the room for 30 days x 24 hours. It is also possible to extract data for each room.
　本実施の形態においては、部屋の在室者数がピークになる時間帯を「ピーク時間帯」と称する。上記例のように、ピーク時間帯は複数あってもよい。「在室者数がピークになる時間帯」とは、在室者数データにおいて、在室者数が最も多くなる時間帯、あるいは、在室者数が多くなる複数の時間帯を指す（図５に示した時間帯）。 In this embodiment, the time period when the number of people in the room is at its peak is referred to as the "peak time period." As in the above example, there may be multiple peak time periods. "The time period when the number of people in the room is at its peak" refers to the time period when the number of people in the room is the highest, or multiple time periods when the number of people in the room is the highest, according to the data on the number of people in the room. 5).
　図３に戻り、測定ポイント推奨装置１０は、位置監視装置２０に対して、ピーク時間帯における人流マップを要求する（Ｓ１４）。上記例では、１０月６日の９時台および１０時台のＡ３０２の人流マップと、１０月６日の８時台および１２時台のＡ３０３の人流マップが要求される。位置監視装置２０は、人流マップの要求を受信すると、ピーク時間帯における人流マップを生成する（Ｓ２３）。 Returning to FIG. 3, the measurement point recommendation device 10 requests the position monitoring device 20 for a people flow map during peak hours (S14). In the above example, the people flow map of A302 between 9:00 and 10:00 on October 6th and the people flow map of A303 between 8:00 and 12:00 on October 6th are requested. When the location monitoring device 20 receives the request for a people flow map, it generates a people flow map during peak hours (S23).
　図６は、人流マップの一例を示す図である。図６に示されるのは、１０月６日の９時台のＡ３０２の人流マップである。位置監視装置２０は、オフィスビル内における人の人流（動線）を示す人流データ（動線データ）を履歴情報としてＨＤＤ２４に記憶している。 FIG. 6 is a diagram showing an example of a people flow map. What is shown in FIG. 6 is the A302 people flow map at around 9:00 on October 6th. The position monitoring device 20 stores, in the HDD 24, people flow data (flow line data) indicating the flow of people within the office building (flow line data) as history information.
　本例では、位置監視装置２０は、１０月６日の９時台のＡ３０２の人流マップを生成するものとする。この場合、ＨＤＤ２４に記憶された履歴情報から、Ａ３０２の１０月６日９時～１０時の人流データを抽出する。図示しないが、各人流データは動線番号が割り振られており、動線番号ごとに、部屋名（たとえば、Ａ３０２）と、各時刻に対応する人の位置情報（座標）とが記録されている。 In this example, it is assumed that the position monitoring device 20 generates a people flow map for A302 around 9 o'clock on October 6th. In this case, the flow of people data from 9:00 to 10:00 on October 6th of A302 is extracted from the history information stored in the HDD 24. Although not shown, each flow line data is assigned a flow line number, and for each flow line number, the room name (for example, A302) and the position information (coordinates) of the person corresponding to each time are recorded. .
　一例を示すと、動線番号「２３４５６」、部屋名「Ａ３０２」、時刻１「９：１３：３２」の座標１（Ｘ，Ｙ）＝（１２４，２３）、時刻２「９：１３：３３」の座標２（Ｘ，Ｙ）＝（１２５，２３）、時刻３「９：１３：３４」の座標２（Ｘ，Ｙ）＝（１２６，２３）・・・のように記録されている。 To give an example, flow line number "23456", room name "A302", time 1 "9:13:32" coordinates 1 (X, Y) = (124, 23), time 2 "9:13:33" ", coordinates 2 (X, Y) = (125, 23), time 3 "9:13:34" coordinates 2 (X, Y) = (126, 23), etc.
　ＨＤＤ２４は、各部屋のフロアマップを記憶している。フロアマップは、天井からフロアを見た平面図を模式的に示す画像である。上記の座標（Ｘ，Ｙ）により、各部屋のフロアマップ内の位置を特定できる。 The HDD 24 stores a floor map of each room. A floor map is an image schematically showing a plan view of a floor viewed from the ceiling. The position of each room on the floor map can be specified using the above coordinates (X, Y).
　図６の画面９１には、Ａ３０２のフロアマップが示されている。図６に示すように、Ａ３０２には、複数のドア、机、棚、会議室が設けられている。具体的には、Ａ３０２には、Ａ３０２に出入りするための２か所のドアＤ、Ａ３０２室内に設けられた小会議室Ｒ１、大会議室Ｒ２、役員室Ｒ３、壁沿いに設置された棚Ｂ２，Ｂ４，Ｃ４、プリンタＢ３、打ち合わせ机Ｃ１、棚Ｃ２、および、Ａ３０２で働く従業員に各自割当てられた机Ｃ３（自席）が設置されている。また、小会議室Ｒ１、大会議室Ｒ２、役員室Ｒ３の各出入口にはドアＤが設けられるとともに、小会議室Ｒ１には会議机Ｂ１、大会議室Ｒ２には会議机Ｂ５、役員室Ｒ３には打ち合わせ机Ｂ６、机Ｂ７、プリンタＢ８がそれぞれ設けられている。 A floor map of A302 is shown on the screen 91 in FIG. As shown in FIG. 6, A302 is provided with multiple doors, desks, shelves, and a conference room. Specifically, A302 has two doors D for entering and exiting A302, a small conference room R1, a large conference room R2, an executive room R3, and a shelf B2 installed along the wall. , B4, C4, a printer B3, a meeting desk C1, a shelf C2, and a desk C3 (self-seat) assigned to each employee working at A302. In addition, a door D is provided at each entrance to the small conference room R1, large conference room R2, and executive room R3, and a conference desk B1 is provided in the small conference room R1, a conference desk B5 is provided in the large conference room R2, and a conference desk B5 is provided in the large conference room R2. A meeting desk B6, a desk B7, and a printer B8 are respectively provided.
　位置監視装置２０は、フロアマップに人流データを重ねて人流マップを生成する。図６の画面９１は、Ａ３０２のフロアマップにＡ３０２の１０月６日９時～１０時の人流データを重ねて生成した人流マップである。 The position monitoring device 20 generates a people flow map by superimposing the people flow data on the floor map. Screen 91 in FIG. 6 is a people flow map created by superimposing the people flow data of A302 from 9:00 to 10:00 on October 6th on the floor map of A302.
　画面９１中の人流ＬがＡ３０２内で働く従業員の人流を示している。図６で示された人流Ｌは、ドアＤから机Ｃ３（自席）に向かう人流データ、小会議室Ｒ１、大会議室Ｒ２、役員室Ｒ３から机Ｃ３に向かう人流データ、机Ｃ３から棚Ｂ２，Ｂ４，Ｃ４、プリンタＢ３あるいは打ち合わせ机Ｃ１に向かう人流データなどの各座標データが、フロアマップ上にプロットされている。 The flow of people L in the screen 91 indicates the flow of employees working within A302. The flow of people L shown in FIG. 6 includes data on the flow of people from door D to desk C3 (my seat), data on small conference room R1, large conference room R2, data on people flow from executive room R3 to desk C3, data on flow of people from desk C3 to shelf B2, Coordinate data such as data on the flow of people toward B4, C4, printer B3, or meeting desk C1 are plotted on the floor map.
　図３に戻り、位置監視装置２０は、測定ポイント推奨装置１０に対して、人流マップを送信する（Ｓ２４）。測定ポイント推奨装置１０は、位置監視装置２０から人流マップを取得する（Ｓ１５）。 Returning to FIG. 3, the position monitoring device 20 transmits the people flow map to the measurement point recommendation device 10 (S24). The measurement point recommendation device 10 acquires the people flow map from the position monitoring device 20 (S15).
　次に、測定ポイント推奨装置１０は、測定ポイントマップ生成処理を実行する（Ｓ１６）。図７は、測定ポイントマップ生成処理のフローチャートである。このフローチャートに示される一連の処理は、測定ポイント推奨装置１０によって実行される。 Next, the measurement point recommendation device 10 executes measurement point map generation processing (S16). FIG. 7 is a flowchart of measurement point map generation processing. A series of processes shown in this flowchart are executed by the measurement point recommendation device 10.
　測定ポイント推奨装置１０は、部屋の在室者数がピークになるピーク時間帯（図５で示した時間帯）における「在室者（従業員）の情報」と、後述する「決定条件」とに基づき、測定ポイントを決定する。「在室者の情報」は、部屋における在室者の人流を示す情報を部屋のマップに重ね合わせた人流マップを含む。以下、具体的に説明する。 The measurement point recommendation device 10 uses "information on the people in the room (employees)" during the peak time period (the time shown in FIG. 5) when the number of people in the room peaks, and "determination conditions" to be described later. Determine measurement points based on. "Information on people in the room" includes a people flow map in which information indicating the flow of people in the room is superimposed on a map of the room. This will be explained in detail below.
　測定ポイントマップ生成処理が開始すると、測定ポイント推奨装置１０は、ステップ（以下、単に「Ｓ」と表記する）１０１において、人流マップ情報を取得する。 When the measurement point map generation process starts, the measurement point recommendation device 10 acquires people flow map information in step (hereinafter simply referred to as "S") 101.
　測定ポイント推奨装置は、Ｓ１０２において、決定条件と在室者の情報（人流マップ）に基づき測定ポイントを決定する。決定条件は、測定ポイントと在室者の位置との距離に関する第１条件（条件１）と、測定ポイントと部屋の出入口との距離に関する第２条件（条件２）と、測定ポイントにおける通路幅に関する第３条件（条件３）とを含む。 In S102, the measurement point recommendation device determines measurement points based on the determination conditions and information on people in the room (people flow map). The determining conditions are a first condition (condition 1) regarding the distance between the measurement point and the position of the person in the room, a second condition (condition 2) regarding the distance between the measurement point and the entrance/exit of the room, and a path width at the measurement point. and a third condition (condition 3).
　具体的には、条件１は、人流が少ない位置が測定ポイントとなることである。より具体的には、条件１は、人流から特定される在室者の位置を避けた位置に測定ポイントが存在することである。人が通る経路上で測定を行うと、在室者（従業員）の通行の妨げになるからである。 Specifically, condition 1 is that the measurement point is located at a location where there is little traffic. More specifically, condition 1 is that the measurement point exists at a location that avoids the location of the person in the room identified from the flow of people. This is because if measurements are taken on a path that people take, it will obstruct the passage of people (employees) in the room.
　条件２は、出入口に近い位置に測定ポイントがあることである。測定ポイントが出入口から遠くなればなるほど、ビル管理者（測定者）が測定ポイントに到着するまでの移動距離が長くなり、移動中に在室者（従業員）の通行の妨げになる可能性が高いからである。 Condition 2 is that the measurement point is located close to the entrance/exit. The farther the measurement point is from the entrance/exit, the longer the building manager (measuring person) has to travel to reach the measurement point, and the more likely it is that the building manager (measuring person) will be obstructing the passage of people in the room (employees) during the move. This is because it is expensive.
　第３条件は、通路幅が広い通路上に測定ポイントがあることである。通路幅が広ければ、在室者（従業員）が管理者（測定者）を迂回して移動することができ、通行の妨げになりにくいからである。 The third condition is that the measurement point is located on a wide passage. This is because if the aisle width is wide, people in the room (employees) can move around the manager (measuring person) and are less likely to obstruct passage.
　測定ポイント推奨装置１０は、Ｓ１０３において、抽出した測定ポイントに優先順位を設定する。測定ポイント推奨装置は、Ｓ１０４において、人流マップに測定ポイント情報を重ね合わせて測定ポイントマップを生成し、測定ポイントマップ生成処理を終了する。 In S103, the measurement point recommendation device 10 sets priorities to the extracted measurement points. In S104, the measurement point recommendation device generates a measurement point map by superimposing the measurement point information on the people flow map, and ends the measurement point map generation process.
　以下、図８を用いて説明する。図８は、測定ポイントマップの一例を示す図である。図８の測定ポイントマップは、図６に示した人流マップに測定ポイント情報を重ね合わせて生成された測定ポイントマップである。 This will be explained below using FIG. 8. FIG. 8 is a diagram showing an example of a measurement point map. The measurement point map in FIG. 8 is a measurement point map generated by superimposing measurement point information on the people flow map shown in FIG. 6.
　図８には、測定ポイント情報として測定ポイントＰ１～Ｐ３が示されている。測定ポイントＰ１には、優先順位＝１位が設定されている。測定ポイントＰ２には、優先順位＝２位が設定されている。測定ポイントＰ３には、優先順位＝３位が設定されている。 In FIG. 8, measurement points P1 to P3 are shown as measurement point information. The measurement point P1 is set to have a priority order of 1st place. The measurement point P2 is set to have a priority order of 2nd place. The measurement point P3 is set to have a priority order of 3rd place.
　測定ポイントＰ１～Ｐ３として、人流から特定される在室者の位置を避けた位置が選択されている（条件１）。その際、壁から離れており、なるべく在室者の多い場所が優先順位が高くなるように評価値が設定される。本例では、壁から遠く、中央にある机Ｃ３に近い測定ポイントＰ１、Ｐ２、Ｐ３の順に高い評価値が設定される。 As the measurement points P1 to P3, positions that avoid the positions of people in the room identified from the flow of people are selected (condition 1). At this time, the evaluation value is set so that a place that is far from the wall and has as many people as possible in the room has a higher priority. In this example, higher evaluation values are set in the order of measurement points P1, P2, and P3 that are farther from the wall and closer to desk C3 in the center.
　また、通路幅が広い通路上に測定ポイントがある場合に優先順位が高くなるように評価値が設定される（条件３）。本例では、測定ポイントＰ２、Ｐ１、Ｐ３の通路幅は同程度に広い。 Furthermore, the evaluation value is set so that the priority is higher when the measurement point is located on a wide passageway (condition 3). In this example, the passage widths at measurement points P2, P1, and P3 are equally wide.
　測定ポイントの決定は、たとえば、以下のように行ってもよい。まず、フロアマップを複数の小さな区画に分割し、分割された各区画を測定ポイントの候補とする。このうち、人流と重なる区画を除外し（条件１）、残った区画のそれぞれについて、フロアの中心に近ければ近いほど数値が大きくなるように評価値Ａを設定し、出入り口に近ければ近いほど数値が大きくなるように評価値Ｂを設定し、通路が広ければ広いほど数値が大きくなるように評価値Ｃを設定する。そして、総合評価値＝評価値Ａ＋評価値Ｂ＋評価値Ｃを算出する。 The measurement points may be determined, for example, as follows. First, the floor map is divided into a plurality of small sections, and each divided section is used as a candidate for a measurement point. Among these, sections that overlap with the flow of people are excluded (Condition 1), and for each remaining section, the evaluation value A is set so that the closer it is to the center of the floor, the higher the value is, and the closer it is to the entrance/exit, the higher the value. The evaluation value B is set so that the value becomes larger, and the evaluation value C is set so that the larger the passage, the larger the value. Then, total evaluation value=evaluation value A+evaluation value B+evaluation value C is calculated.
　そして、総合評価値が大きい順に測定ポイントＰ１（優先順位＝１）、Ｐ２（優先順位＝２）、Ｐ３（優先順位＝３）を決定する。本例では、測定ポイントとして３点を決定したが、測定ポイント数は何点であっても構わない。 Then, measurement points P1 (priority=1), P2 (priority=2), and P3 (priority=3) are determined in descending order of overall evaluation value. In this example, three measurement points are determined, but the number of measurement points may be any number.
　評価値の算出の際には、評価値Ａ（壁からの遠さ）、評価値Ｂ（条件２）、評価値Ｃ（条件３）の順に比重が高くなる（評価値が大きくなる）ように評価値を設定する。また、人流からの距離（条件１）が遠いほど数値が大きくなるように評価値Ａ’を設定するようにしてもよい。この場合、評価値Ａ、評価値Ａ’、評価値Ｂ、評価値Ｃの順に比重が高くなるように評価値を設定する。そして、総合評価値＝評価値Ａ＋評価値Ａ’＋評価値Ｂ＋評価値Ｃを算出する。 When calculating the evaluation value, the specific weight becomes higher (the evaluation value becomes larger) in the order of evaluation value A (distance from the wall), evaluation value B (condition 2), and evaluation value C (condition 3). Set evaluation value. Alternatively, the evaluation value A' may be set such that the farther the distance from the flow of people (condition 1), the larger the value. In this case, the evaluation values are set so that the weight increases in the order of evaluation value A, evaluation value A', evaluation value B, and evaluation value C. Then, total evaluation value=evaluation value A+evaluation value A'+evaluation value B+evaluation value C is calculated.
　このように、本実施の形態において、測定ポイント推奨装置１０は、在室者の情報（人流データ）と決定条件（条件１～３）とに基づき、複数の測定ポイントとこれに対応した優先順位（測定ポイント情報）を決定している。具体的には、測定ポイント推奨装置１０は、壁から離れておりかつ人流を避けた位置であって、できる限り、出入口から近くて通路幅が広い位置で測定を行えるように、測定ポイントを決定している。 As described above, in the present embodiment, the measurement point recommendation device 10 selects a plurality of measurement points and their corresponding priorities based on information on people in the room (people flow data) and decision conditions (conditions 1 to 3). (Measurement point information) has been determined. Specifically, the measurement point recommendation device 10 determines the measurement point so that the measurement can be performed in a position that is away from the wall and away from the flow of people, and is as close to the entrance and exit as possible and has a wide passageway. are doing.
　上記例では、１０月６日の９時台のＡ３０２の人流マップを用いた例について示したが、図５に例示したように、１０時台のＡ３０２の人流マップ、８時台および１２時台のＡ３０３の人流マップについても、それぞれ複数の測定ポイントとこれに対応した優先順位（測定ポイント情報）を決定する。 The above example uses the A302 people flow map at 9 o'clock on October 6th, but as illustrated in Figure 5, the A302 people flow map at 10 o'clock, 8 o'clock and 12 o'clock Regarding the people flow map of A303, a plurality of measurement points and corresponding priorities (measurement point information) are determined respectively.
　このように、ピーク時間帯は複数ある。測定ポイント推奨装置１０は、複数のピーク時間帯の各々について、在室者の情報と決定条件とに基づき、複数の測定ポイントおよびこれに対応した優先順位（測定ポイント情報）を決定している。そして、対応するフロアマップにそれぞれの人流情報および測定ポイント情報を重ね合わせて測定ポイントマップを生成する。 In this way, there are multiple peak hours. The measurement point recommendation device 10 determines a plurality of measurement points and corresponding priorities (measurement point information) for each of a plurality of peak time periods based on information on people in the room and determination conditions. Then, a measurement point map is generated by superimposing each person flow information and measurement point information on the corresponding floor map.
　図３に戻り、端末３０から測定ポイントマップが要求されると（Ｓ２５）、測定ポイント推奨装置１０は、端末３０に対して、生成した全ての測定ポイントマップを送信（出力）する（Ｓ１７）。 Returning to FIG. 3, when a measurement point map is requested from the terminal 30 (S25), the measurement point recommendation device 10 transmits (outputs) all the generated measurement point maps to the terminal 30 (S17).
　端末３０は、測定ポイント推奨装置１０から測定ポイントマップを受信すると、測定ポイントマップを表示する（Ｓ２６）。図９は、端末３０における画面表示例を示す図である。図９に示すように、端末３０の画面９３の右側には、図８に示した測定ポイントマップ（１０月６日９時台のＡ３０２における例）が表示されている。 Upon receiving the measurement point map from the measurement point recommendation device 10, the terminal 30 displays the measurement point map (S26). FIG. 9 is a diagram showing an example of a screen display on the terminal 30. As shown in FIG. 9, on the right side of the screen 93 of the terminal 30, the measurement point map shown in FIG. 8 (an example at A302 around 9 o'clock on October 6) is displayed.
　画面９３の左側には、測定ポイントマップ選択メニューが表示されている。本メニューには、対象とする建物を切り替える「建物指定」ボタン、建物の階を切り替える「フロア指定」ボタン、部屋を切り替える「部屋指定」ボタン、時間帯を切り替える「時間帯指定」ボタンが用意されている。 On the left side of the screen 93, a measurement point map selection menu is displayed. This menu has a "Building Specification" button to change the target building, a "Floor Specification" button to change the floor of the building, a "Room Specification" button to change the room, and a "Time Zone Specification" button to change the time zone. ing.
　本測定ポイントマップは、建物「Ａビル」、フロア「３階」、部屋「Ａ３０２」、時間帯「９時台」を指定して表示されたものである。他にも、図５のピーク時間帯データは、建物「Ａビル」、フロア「３階」、部屋「Ａ３０２」、時間帯「１０時台」を指定して表示される測定ポイントマップと対応している。また、建物「Ａビル」、フロア「３階」、部屋「Ａ３０３」、時間帯「８時台」を指定して表示される測定ポイントマップ、および、建物「Ａビル」、フロア「３階」、部屋「Ａ３０３」、時間帯「１２時台」を指定して表示される測定ポイントマップと対応している。 This measurement point map is displayed by specifying the building "Building A", the floor "3rd floor", the room "A302", and the time period "9 o'clock". In addition, the peak time period data in Figure 5 corresponds to the measurement point map displayed by specifying the building "A building", the floor "3rd floor", the room "A302", and the time period "10 o'clock". ing. In addition, a measurement point map that is displayed by specifying the building "A building", floor "3rd floor", room "A303", and time zone "8 o'clock", and the building "A building", floor "3rd floor" , room "A303", and time zone "12 o'clock" correspond to the measurement point map displayed.
　図示しないが、日付を切り替える「日付指定」ボタンを設けるようにしてもよい。たとえば、ピークとなる日が「６日」および「１５日」に設定されている場合は、「６日」および「１５日」における測定ポイントマップを選択可能である。また、時間帯指定において日付も含めて選択できるようにしてもよい（たとえば、「６日の９時台」、「１５日の１０時台」等）。 Although not shown, a "date designation" button for switching the date may be provided. For example, if the peak days are set to "6th" and "15th", measurement point maps for "6th" and "15th" can be selected. Furthermore, the date may also be selected when specifying the time (for example, "9 o'clock on the 6th", "10 o'clock on the 15th", etc.).
　以上説明したように、本実施の形態においては、測定ポイント推奨装置１０は、オフィスビルの部屋における空気環境の測定ポイントを推奨する。測定ポイント推奨装置１０は、部屋の在室者数がピークになるピーク時間帯における在室者の情報と、決定条件とに基づき、測定ポイントを決定する。測定ポイントと在室者の位置との距離に関する第１条件と、測定ポイントと部屋の出入口との距離に関する第２条件と、測定ポイントにおける通路幅に関する第３条件とを含む。測定ポイント推奨装置１０は、決定した測定ポイントを出力する。これにより、計測ニーズの高いピーク時間帯であっても、人流を避けることができるため、測定者（ビル管理者）の作業によって在室者（従業員）の作業（通行）の妨げとなることがない。このように、建物に不慣れな測定者であっても好適な位置および時間帯で空気環境を測定することができる。 As described above, in this embodiment, the measurement point recommendation device 10 recommends measurement points for the air environment in rooms of an office building. The measurement point recommendation device 10 determines measurement points based on information on people in the room during a peak time period when the number of people in the room is at its peak, and on determination conditions. It includes a first condition regarding the distance between the measurement point and the position of the person in the room, a second condition regarding the distance between the measurement point and the entrance/exit of the room, and a third condition regarding the passage width at the measurement point. The measurement point recommendation device 10 outputs the determined measurement points. This makes it possible to avoid the flow of people even during peak hours when measurement needs are high, so that the work of the measurer (building manager) does not obstruct the work (passage) of the people (employees) in the room. There is no. In this way, even a measurer who is unfamiliar with buildings can measure the air environment at a suitable location and time.
　また、優先順位付きで複数の測定ポイントが提示されるため、測定者は、たとえば、優先順位の高い測定ポイントに人がいたとしても、次に優先順位の高い測定ポイントで測定することができる。また、複数の日付・時間帯が提示されるため、測定者の都合のよい日付・時間帯を選択して測定することができる。 Furthermore, since a plurality of measurement points are presented with priorities, the measurer can measure at the next highest priority measurement point, for example, even if there is a person at the measurement point with the highest priority. Furthermore, since a plurality of dates and time zones are presented, the measurer can select a convenient date and time zone for measurement.
　本実施の形態においては、図３に示したように、入退室管理システム８０が在室者データを生成するようにした。しかし、これに限らず、位置監視装置２０が在室者データを生成してもよい。 In this embodiment, as shown in FIG. 3, the room entry/exit management system 80 generates room occupant data. However, the present invention is not limited to this, and the position monitoring device 20 may generate the occupant data.
　また、本実施の形態においては、図３に示したように、位置監視装置２０が人流マップを生成し、測定ポイント推奨装置１０が人流マップに基づき測定ポイントマップを生成するようにした。しかし、これに限らず、位置監視装置２０が混雑度マップを生成し、測定ポイント推奨装置１０が混雑度マップに基づき測定ポイントマップを生成するようにしてもよい。 Furthermore, in this embodiment, as shown in FIG. 3, the position monitoring device 20 generates a people flow map, and the measurement point recommendation device 10 generates a measurement point map based on the people flow map. However, the present invention is not limited to this, and the location monitoring device 20 may generate a congestion degree map, and the measurement point recommendation device 10 may generate a measurement point map based on the congestion degree map.
　混雑度マップは、部屋における在室者の混雑度を示す情報を部屋のマップに重ね合わせたものである。この場合、測定ポイント推奨装置１０は、混雑度マップを含む在室者の情報と決定条件とに基づき、測定ポイントおよび優先順位を決定する。なお、人流マップあるいは混雑度マップは、位置監視装置２０から取得したデータに基づき測定ポイント推奨装置１０が生成するようにしてもよい。 The congestion degree map is a map of the room superimposed with information indicating the degree of crowding of people in the room. In this case, the measurement point recommendation device 10 determines the measurement points and priority order based on the information on the people in the room including the congestion degree map and the determination conditions. Note that the human flow map or the congestion degree map may be generated by the measurement point recommendation device 10 based on data acquired from the position monitoring device 20.
　以下、図１０，図１１を用いて説明する。図１０は、変形例に係る測定ポイント推奨システムが実行する処理を説明するための図である。図１０での処理において、上記に説明した違い以外は、図３での処理と同じである。 This will be explained below using FIGS. 10 and 11. FIG. 10 is a diagram for explaining processing executed by the measurement point recommendation system according to the modification. The processing in FIG. 10 is the same as the processing in FIG. 3 except for the differences described above.
　まず、測定ポイント推奨装置１０は、位置監視装置２０に対して在室者数データを要求する（Ｓ３１）。位置監視装置２０は、在室者数データの要求を受信すると、在室者数データを抽出し（Ｓ４１）、測定ポイント推奨装置１０に対して、在室者数データを送信する（Ｓ４２）。 First, the measurement point recommendation device 10 requests data on the number of people in the room from the position monitoring device 20 (S31). When the position monitoring device 20 receives the request for data on the number of people in the room, it extracts the data on the number of people in the room (S41), and transmits the data on the number of people in the room to the measurement point recommendation device 10 (S42).
　上述のように、位置監視装置２０は、無線通信機７２からの情報およびカメラ７０からの情報に基づき従業員等の位置を測定することができる。位置監視装置２０は、これらの位置情報から、各時間の各部屋における従業員等の人数をカウントすることができる。さらに、位置監視装置２０は、従業員等の人数から、図４に示したような各部屋の時間帯別の在室者数を示す在室者数データを生成する。 As described above, the position monitoring device 20 can measure the positions of employees and the like based on information from the wireless communication device 72 and information from the camera 70. The position monitoring device 20 can count the number of employees, etc. in each room at each time from this position information. Furthermore, the position monitoring device 20 generates data on the number of people in each room indicating the number of people in each room by time period, as shown in FIG. 4, from the number of employees and the like.
　測定ポイント推奨装置１０は、入退室管理システム８０から在室者数データを取得すると（Ｓ３２）、ピーク時間帯データを生成する（Ｓ３３）。 When the measurement point recommendation device 10 acquires the data on the number of people in the room from the room entry/exit management system 80 (S32), it generates peak time period data (S33).
　測定ポイント推奨装置１０は、位置監視装置２０に対して、混雑度マップを要求する（Ｓ３４）。位置監視装置２０は、混雑度マップの要求を受信すると、混雑度マップを生成し（Ｓ４３）、測定ポイント推奨装置１０に対して、混雑度マップを送信する（Ｓ４４）。 The measurement point recommendation device 10 requests a congestion degree map from the location monitoring device 20 (S34). When the location monitoring device 20 receives the request for a congestion degree map, it generates a congestion degree map (S43), and transmits the congestion degree map to the measurement point recommendation device 10 (S44).
　図１１は、混雑度マップの一例を示す図である。以下、位置監視装置２０が、１０月６日の９時台のＡ３０２の混雑度マップを生成する例について説明する。位置監視装置２０は、オフィスビル内における人の位置情報を時刻とともにＨＤＤ２４に記憶している。 FIG. 11 is a diagram showing an example of a congestion level map. An example in which the location monitoring device 20 generates a congestion degree map for A302 around 9 o'clock on October 6th will be described below. The position monitoring device 20 stores information on the positions of people within the office building in the HDD 24 along with the time.
　この場合、ＨＤＤ２４に記憶された情報から、Ａ３０２の１０月６日９時台における人の位置情報が抽出される。そして、図６と同様に、抽出された位置情報をフロアマップにプロットされる。フロアマップは、複数の小さな区画に分割される。そして、各区画においてプロットされた位置情報の数に応じて混雑度が設定される。ここでは、プロットされた位置情報の数が多い順に、混雑度１、混雑度２、混雑度３、混雑度４に各区画を分類する。そして、混雑度１に分類された区画に混雑度Ａ１の画像を表示し、混雑度２に分類された区画に混雑度Ａ２の画像を表示し、混雑度３に分類された区画に混雑度Ａ３の画像を表示し、混雑度４に分類された区画に混雑度Ａ４の画像を表示する。 In this case, the location information of the person A302 at around 9:00 on October 6th is extracted from the information stored in the HDD 24. Then, similarly to FIG. 6, the extracted position information is plotted on the floor map. The floor map is divided into multiple small sections. Then, the degree of congestion is set according to the number of location information plotted in each section. Here, each section is classified into congestion degree 1, congestion degree 2, congestion degree 3, and congestion degree 4 in descending order of the number of plotted position information. Then, an image with a congestion degree A1 is displayed in a section classified as a congestion degree 1, an image with a congestion degree A2 is displayed in a section classified as a congestion degree 2, and an image with a congestion degree A3 is displayed in a section classified as a congestion degree 3. An image with a congestion degree of A4 is displayed in a section classified into a congestion degree of 4.
　たとえば、図１１では、ドアＤの付近では混雑度の最も高い混雑度Ａ１あるいは次に混雑度の高い混雑度Ａ２が多く表示されている。ドアＤから離れるほど、混雑度Ａ３あるいは混雑度Ａ４の画像が表示されている様子が示されている。 For example, in FIG. 11, in the vicinity of door D, the highest congestion degree A1 or the next highest congestion degree A2 are often displayed. It is shown that the further away from the door D, the more the image of congestion degree A3 or congestion degree A4 is displayed.
　測定ポイント推奨装置１０は、位置監視装置２０から混雑度マップを取得すると（Ｓ３５）、測定ポイントマップ生成処理を実行する（Ｓ３６）。本変形例においては、図７で示した測定ポイントマップ生成処理と異なり、混雑度マップを取得し、決定条件と在室者の情報（混雑度マップ）に基づき測定ポイントを決定する。 Upon acquiring the congestion degree map from the position monitoring device 20 (S35), the measurement point recommendation device 10 executes measurement point map generation processing (S36). In this modification, unlike the measurement point map generation process shown in FIG. 7, a congestion degree map is obtained, and measurement points are determined based on the determination conditions and information on people in the room (congestion degree map).
　また、測定ポイントマップは、混雑度マップに測定ポイント情報を重ねて生成される。その際、測定ポイントと在室者の位置との距離に関する条件１に関し、混雑度から特定される在室者の位置を避けた位置が測定ポイントとして決定される。 Additionally, the measurement point map is generated by superimposing the measurement point information on the congestion level map. At this time, regarding condition 1 regarding the distance between the measurement point and the position of the person in the room, a position that avoids the position of the person in the room specified from the degree of congestion is determined as the measurement point.
　図１２は、測定ポイントマップの一例を示す図である。図８の例と同様に、図１１の混雑度マップに測定ポイントＰ１～Ｐ３が重ね合わされて測定ポイントマップが生成されている。本例において、混雑度１～４が設定された区画（混雑度Ａ１～Ａ４が表示された区画）を避けた位置に測定ポイントＰ１～Ｐ３が設定される。その他の条件および評価値の算出方法については、図８の例と同様である。 FIG. 12 is a diagram showing an example of a measurement point map. Similar to the example of FIG. 8, measurement points P1 to P3 are superimposed on the congestion level map of FIG. 11 to generate a measurement point map. In this example, measurement points P1 to P3 are set at positions that avoid sections set with congestion degrees 1 to 4 (sections in which congestion degrees A1 to A4 are displayed). Other conditions and evaluation value calculation methods are the same as in the example of FIG. 8 .
　図１０に戻り、端末３０から測定ポイントマップが要求されると（Ｓ４５）、測定ポイント推奨装置１０は、端末３０に対して、測定ポイントマップを送信する（Ｓ３７）。端末３０は、測定ポイント推奨装置１０から測定ポイントマップを受信すると、図１２に示したような測定ポイントマップを表示する（Ｓ４６）。 Returning to FIG. 10, when a measurement point map is requested from the terminal 30 (S45), the measurement point recommendation device 10 transmits the measurement point map to the terminal 30 (S37). When the terminal 30 receives the measurement point map from the measurement point recommendation device 10, it displays the measurement point map as shown in FIG. 12 (S46).
　以上説明したように、本変形例においても、計測ニーズの高いピーク時間帯であっても、混雑した場所を避けることができるため、測定者（ビル管理者）の作業によって在室者（従業員）の作業（通行）の妨げとなることがない。このように、建物に不慣れな測定者（管理者）であっても好適な位置および時間帯で空気環境を測定することができる。 As explained above, in this modified example, even during peak hours when measurement needs are high, crowded places can be avoided, so the work of the measurer (building manager) can be ) will not obstruct work (passage). In this way, even a measurer (manager) who is unfamiliar with buildings can measure the air environment at a suitable location and time.
　今回開示された実施の形態は、すべての点で例示であって制限的なものではないと考えられるべきである。本開示により示される技術的範囲は、上記した実施の形態の説明ではなくて請求の範囲によって示され、請求の範囲と均等の意味および範囲内でのすべての変更が含まれることが意図される。 The embodiments disclosed this time should be considered to be illustrative in all respects and not restrictive. The technical scope indicated by the present disclosure is indicated by the claims rather than the description of the embodiments described above, and is intended to include meanings equivalent to the claims and all changes within the scope. .
　４，５　従業員、３　ビル管理者、１０　測定ポイント推奨装置、２０　位置監視装置、１１，２１，３１　プロセッサ、１２，２２，３２　ＲＯＭ、１３，２３，３３　ＲＡＭ、１４，２４　ＨＤＤ、１５，２５，３６　通信ＩＦ、１６，２６，３７　データバス、３０　端末装置、３４　入力部、３５　ディスプレイ、４５　天井、６２，７２　無線通信機、７０　カメラ、８０　入退室管理システム、８１　管理装置、８２　カードリーダ、９１～９４　画面、１００　測定ポイント推奨システム、ＮＷ　通信網。 4, 5 Employee, 3 Building manager, 10 Measurement point recommendation device, 20 Position monitoring device, 11, 21, 31 Processor, 12, 22, 32 ROM, 13, 23, 33 RAM, 14, 24 HDD, 15, 25, 36 Communication IF, 16, 26, 37 Data bus, 30 Terminal device, 34 Input unit, 35 Display, 45 Ceiling, 62, 72 Wireless communication device, 70 Camera, 80 Entry/exit control system, 81 Management device, 82 Card Reader, 91-94 screen, 100 measurement point recommendation system, NW communication network.

Claims (7)

  1. 　建物の部屋における空気環境の測定位置を推奨する測定位置推奨装置であって、
    　プロセッサと、
    　前記プロセッサによって実行可能なプログラムを記憶するメモリとを備え、
    　前記プロセッサは、
    　　前記部屋の在室者数がピークになるピーク時間帯における在室者の情報と、前記測定位置と前記在室者の位置との距離に関する第１条件を含む決定条件とに基づき、前記測定位置を決定し、
    　　決定した前記測定位置を出力する、測定位置推奨装置。     A measurement position recommendation device that recommends a measurement position of an air environment in a room of a building,
    a processor;
    a memory that stores a program executable by the processor;
    The processor includes:
    The measurement position is determined based on information on people in the room during a peak time period when the number of people in the room peaks, and a determination condition including a first condition regarding the distance between the measurement position and the position of the person in the room. decide,
    A measurement position recommendation device that outputs the determined measurement position.
  2. 　前記在室者の情報は、前記部屋における前記在室者の人流を示す情報を前記部屋のマップに重ね合わせた人流マップを含む、請求項１に記載の測定位置推奨装置。 The measurement position recommendation device according to claim 1, wherein the information on the people in the room includes a people flow map in which information indicating the flow of people in the room in the room is superimposed on a map of the room.
  3. 　前記在室者の情報は、前記部屋における前記在室者の混雑度を示す情報を前記部屋のマップに重ね合わせた混雑度マップを含む、請求項１に記載の測定位置推奨装置。 The measurement position recommendation device according to claim 1, wherein the information on the occupants in the room includes a congestion level map in which information indicating the congestion level of the occupants in the room is superimposed on a map of the room.
  4. 　前記決定条件は、さらに、前記測定位置と前記部屋の出入口との距離に関する第２条件と、前記測定位置における通路幅に関する第３条件とを含む、請求項１～請求項３のいずれか１項に記載の測定位置推奨装置。 The determining conditions further include a second condition regarding the distance between the measurement position and the entrance/exit of the room, and a third condition regarding the passage width at the measurement position. Measurement position recommendation device described in .
  5. 　前記測定位置は、複数の位置を含み、
    　前記プロセッサは、
    　　前記在室者の情報と前記決定条件とに基づき、前記複数の位置および前記複数の位置の優先度を決定し、
    　　決定した前記複数の位置および前記複数の位置の優先度を出力する、請求項１～請求項４のいずれか１項に記載の測定位置推奨装置。     The measurement position includes a plurality of positions,
    The processor includes:
    determining the plurality of positions and the priority of the plurality of positions based on the information of the person in the room and the determination condition;
    The measurement position recommendation device according to any one of claims 1 to 4, which outputs the plurality of determined positions and the priorities of the plurality of positions.
  6. 　前記ピーク時間帯は、複数の時間帯を含み、
    　前記プロセッサは、
    　　前記複数の時間帯の各々について、前記在室者の情報と前記決定条件とに基づき、前記複数の位置および前記複数の位置の優先度を決定し、
    　　前記複数の時間帯の各々について、決定した前記複数の位置および前記複数の位置の優先度を出力する、請求項５に記載の測定位置推奨装置。     The peak time period includes a plurality of time periods,
    The processor includes:
    For each of the plurality of time slots, determine the plurality of positions and the priority of the plurality of positions based on the information of the person in the room and the determination condition,
    The measurement position recommendation device according to claim 5, which outputs the plurality of determined positions and the priorities of the plurality of positions for each of the plurality of time slots.
  7. 　建物の部屋における空気環境の測定位置を推奨する測定位置推奨方法であって、
    　前記部屋の在室者数がピークになるピーク時間帯における在室者の情報と、前記測定位置と前記在室者の位置との距離に関する第１条件を含む決定条件とに基づき、前記測定位置を決定するステップと、
    　決定した前記測定位置を出力するステップとを備える、測定位置推奨方法。     A measurement position recommendation method for recommending a measurement position of an air environment in a room of a building, the method comprising:
    The measurement position is determined based on information on people in the room during a peak time period when the number of people in the room peaks, and a determination condition including a first condition regarding the distance between the measurement position and the position of the person in the room. a step of determining
    A measurement position recommendation method comprising the step of outputting the determined measurement position.
PCT/JP2022/022213 2022-05-31 2022-05-31 Measurement position recommendation device and measurement position recommendation method WO2023233551A1 (en)

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JPH0798142A (en) * 1993-09-29 1995-04-11 Toyota Central Res & Dev Lab Inc Device for evaluating feeling of temperature
JPH09273794A (en) * 1996-04-08 1997-10-21 Hitachi Building Syst Co Ltd Evaluating method of indoor atmosphere
JP2001116742A (en) * 1999-10-19 2001-04-27 Yazaki Corp Environment measuring system
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JP2013040693A (en) * 2011-08-11 2013-02-28 Kajima Corp Indoor air conditioner and indoor air-conditioning method

Patent Citations (5)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
JPH0798142A (en) * 1993-09-29 1995-04-11 Toyota Central Res & Dev Lab Inc Device for evaluating feeling of temperature
JPH09273794A (en) * 1996-04-08 1997-10-21 Hitachi Building Syst Co Ltd Evaluating method of indoor atmosphere
JP2001116742A (en) * 1999-10-19 2001-04-27 Yazaki Corp Environment measuring system
JP2005016931A (en) * 2003-06-23 2005-01-20 Samsung Electronics Co Ltd Indoor environment controlling system and its control method
JP2013040693A (en) * 2011-08-11 2013-02-28 Kajima Corp Indoor air conditioner and indoor air-conditioning method

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