JP7209869B2 - Air-conditioning control device, air-conditioning system, air-conditioning method and program - Google Patents

Description

The present invention relates to an air conditioning control device, an air conditioning system, an air conditioning method and a program.

A technique is known for predicting the heat load generated in an indoor space to be air-conditioned. For example, Patent Literature 1 discloses a heat load prediction device that predicts the heat load of air conditioning heat source equipment. Specifically, the heat load prediction device disclosed in Patent Document 1 includes performance data before the target time period regarding the heat load of the air conditioning heat source equipment, the building external environment and the building internal environment, the building external environment and the building internal environment The heat load for the target time period is predicted based on the environment prediction data for the target time period and the heat load prediction model. Further, the heat load prediction device disclosed in Patent Literature 1 learns a heat load prediction model using performance data.

Japanese Patent Application Laid-Open No. 2006-29607

The heat load prediction method disclosed in Patent Literature 1 does not take into consideration the difference in heat load depending on the position in the building. In response to this, there is a demand for more accurate estimation of the heat load generated in the indoor space to properly air-condition the indoor space and improve comfort.

SUMMARY OF THE INVENTION It is an object of the present invention to provide an air-conditioning control apparatus and the like capable of appropriately air-conditioning an indoor space to improve comfort.

In order to achieve the above object, an air conditioning control device according to the present invention includes:
An air conditioning control device for controlling air conditioning of an indoor space by an air conditioner,
Meteorological data acquisition means for acquiring meteorological data;
a temperature distribution acquiring means for acquiring a temperature distribution of the indoor space by causing a photographing means for photographing the indoor space with infrared rays to photograph the indoor space ;
human information acquiring means for acquiring human information about a person in the indoor space based on the photographed image of the indoor space photographed by the photographing means;
receiving input of the weather data acquired by the weather data acquisition means, the temperature distribution acquired by the temperature distribution acquisition means, and the human information acquired by the human information acquisition means, an estimating means for outputting estimated information obtained by estimating the distribution of the heat load generated in the space;
air conditioning control means for receiving input of the estimated information output by the estimation means and outputting an air conditioning control signal for causing the air conditioner to air condition the indoor space ;
The temperature distribution acquiring means rotates the photographing means at a higher speed than when there is a person in the indoor space when no person exists in the indoor space, and the temperature distribution obtaining means rotates the photographing means to capture the temperature of the indoor space. is taken.

The present invention acquires weather data, the temperature distribution of the indoor space, and human information about people in the indoor space, estimates the distribution of the heat load generated in the indoor space based on the acquired weather data, the temperature distribution, and the human information, The indoor space is air-conditioned by the air conditioner based on the estimated heat load distribution. Therefore, according to the present invention, it is possible to appropriately air-condition the indoor space and improve comfort.

1 is a block diagram showing the overall configuration of an air conditioning system according to Embodiment 1 of the present invention; 2 is a diagram showing an indoor space air-conditioned by the air conditioning system according to Embodiment 1; FIG. 1 is a block diagram showing the hardware configuration of an imaging device according to Embodiment 1; FIG. 1 is a block diagram showing the hardware configuration of an air conditioning control device according to Embodiment 1; FIG. 1 is a block diagram showing a functional configuration of an air conditioning system according to Embodiment 1. FIG. A diagram showing an example of a weather DB according to Embodiment 1 FIG. 4 is a diagram showing an example of an image of an indoor space captured with infrared light in Embodiment 1; FIG. 4 is a diagram showing an example of temperature DB according to the first embodiment; A diagram showing an example of a room presence DB according to Embodiment 1 A diagram showing an example of temporal changes in the outside air temperature and the wall temperature of the indoor space in the first embodiment. FIG. 2 is a diagram showing an example of heat load distribution in an indoor space in Embodiment 1. FIG. 4 is a flowchart showing the flow of air conditioning control processing executed by the air conditioning control device according to Embodiment 1; 4 is a flow chart showing the flow of first photographing processing executed by the air conditioning control device according to Embodiment 1; 5 is a flow chart showing the flow of a second photographing process executed by the air conditioning control device according to Embodiment 1;

BEST MODE FOR CARRYING OUT THE INVENTION Hereinafter, embodiments of the present invention will be described in detail with reference to the drawings. The same reference numerals are given to the same or corresponding parts in the drawings.

(Embodiment 1)
FIG. 1 shows the overall configuration of an air conditioning system 1 according to Embodiment 1. As shown in FIG. The air-conditioning system 1 is equipment for air-conditioning a space to be air-conditioned. Air conditioning is the adjustment of the temperature, humidity, cleanliness, airflow, etc., of air in a space to be air-conditioned, and specifically includes heating, cooling, dehumidification, humidification, air cleaning, and the like.

As shown in FIG. 1 , the air conditioning system 1 includes an air conditioning control system 10 and multiple air conditioners 40 . Here, the air conditioning control system 10 includes a plurality of imaging devices 20 and an air conditioning control device 30 . Moreover, each of the plurality of air conditioners 40 includes an outdoor unit 41 installed outside the indoor space 2 and an indoor unit 42 installed inside the indoor space 2 .

FIG. 2 shows an indoor space 2, which is a space to be air-conditioned by the air conditioning system 1. As shown in FIG. The indoor space 2 is, for example, a room in a detached house, collective housing, office building, factory, or the like. Each of the plurality of indoor units 42 and the plurality of imaging devices 20 is installed on the ceiling of the indoor space 2, as an example. Further, the indoor space 2 is provided with a plurality of lights 5, a doorway through which people enter and exit, and windows.

Each of the photographing devices 20 has an infrared camera, and obtains a thermal image showing the heat distribution in the indoor space 2 by photographing the indoor space 2 with the infrared camera. One photographing device 20 is installed for one indoor unit 42 in the indoor space 2 . In the example of FIG. 2 , each photographing device 20 is installed in the vicinity of the conditioned air outlet of the corresponding indoor unit 42 and photographs the area air-conditioned by the corresponding indoor unit 42 .

As shown in FIG. 3 , each imaging device 20 includes a control section 21 , a storage section 22 , an imaging section 23 , a rotation drive section 24 and a communication section 25 . These units are connected via a communication bus.

The control unit 21 includes a CPU (Central Processing Unit), a ROM (Read Only Memory), and a RAM (Random Access Memory). The CPU is also called a central processing unit, a central processing unit, a processor, a microprocessor, a microcomputer, a DSP (Digital Signal Processor), or the like, and functions as a central processing unit that executes processing and calculations related to control of the imaging device 20 . In the control unit 21 , the CPU reads programs and data stored in the ROM, uses the RAM as a work area, and controls the photographing device 20 in an integrated manner.

The control unit 21 also includes a processor for image processing, such as a DSP or GPU (Graphics Processing Unit), and a buffer memory that temporarily stores images to be processed. The control unit 21 processes the photographed image obtained by the photographing unit 23 using a well-known image processing method.

The storage unit 22 includes a non-volatile semiconductor memory such as flash memory, EPROM (Erasable Programmable ROM), EEPROM (Electrically Erasable Programmable ROM), etc., and serves as a so-called secondary storage device or auxiliary storage device. The storage unit 22 stores programs and data used by the control unit 21 to perform various processes. It also stores data generated or acquired by the control unit 21 performing various processes.

The photographing unit 23 acquires a photographed image representing the state inside the indoor space 2 by photographing the indoor space 2 . Specifically, the photographing unit 23 includes an infrared camera that photographs the indoor space 2 using infrared rays. An infrared camera consists of a lens that collects infrared light, an image sensor that is placed at the position where the lens collects light, and an A/D (Analog/Digital) converter that converts electrical signals representing the image obtained by the image sensor into digital data. etc. The photographing unit 23 obtains a thermal image representing the temperature distribution of the indoor space 2 by photographing the indoor space 2 with an infrared camera. The imaging unit 23 functions as imaging means.

The rotation drive unit 24 includes drive members such as motors and actuators, and rotates the photographing unit 23 to change the direction of the optical axis. Specifically, the rotation drive unit 24 rotates the photographing unit 23 around a vertical rotation axis. Thereby, the rotation drive unit 24 causes the photographing unit 23 to photograph a wide range in the indoor space 2 . The rotation driving section 24 functions as a rotation driving means.

The communication unit 25 has a communication interface for communicating with the air conditioning control device 30 . The communication unit 25 is communicably connected to the air conditioning control device 30 by wire or wirelessly, and communicates according to a known communication standard such as a wired LAN (Local Area Network) or wireless LAN.

Returning to FIG. 1 , the air conditioning control device 30 is a device that controls air conditioning of the indoor space 2 by a plurality of air conditioners 40 . The air conditioning control device 30 is, for example, a remote controller operated by a user present in the indoor space 2 to transmit various commands to each air conditioner 40 , and is installed on the side wall of the indoor space 2 .

As shown in FIG. 4 , the air conditioning control device 30 includes a control section 31 , a storage section 32 , a user interface 33 and a communication section 35 . These units are connected via a communication bus.

The control unit 31 includes a CPU, ROM and RAM. The CPU is also called a central processing unit, a central processing unit, a processor, a microprocessor, a microcomputer, a DSP, or the like, and functions as a central processing unit that executes processing and calculations related to control of the air conditioning control device 30 . In the control unit 31 , the CPU reads programs and data stored in the ROM, uses the RAM as a work area, and performs overall control of the air conditioning control device 30 .

The storage unit 32 includes a non-volatile semiconductor memory such as flash memory, EPROM, EEPROM, etc., and serves as a so-called secondary storage device or auxiliary storage device. The storage unit 32 stores programs and data used by the control unit 31 to perform various processes. The storage unit 32 also stores data generated or acquired by the control unit 31 performing various processes.

The user interface 33 includes an input section such as a touch panel, switches, and push buttons, and a display section such as an LCD (Liquid Crystal Display) panel and organic EL. The user interface 33 receives an operation input from the user via the input section, and displays a display image via the display section.

The communication unit 35 includes a communication interface for communicating with external devices including the plurality of photographing devices 20 and the plurality of air conditioners 40 . The communication unit 35 is communicably connected to each photographing device 20 and each air conditioner 40 by wire or wirelessly, and communicates according to known communication standards such as wired LAN and wireless LAN.

Returning to FIG. 1, each of the plurality of air conditioners 40 air-conditions the indoor space 2, which is the space to be air-conditioned. Each air conditioner 40 is, for example, a heat pump air conditioner using CO ₂ (carbon dioxide), HFC (hydrofluorocarbon), or the like as a refrigerant.

Although not shown, the outdoor unit 41 and the indoor unit 42 are connected via a refrigerant circuit through which refrigerant flows. The outdoor unit 41 includes a compressor that compresses a refrigerant and circulates it through the refrigeration circuit, a four-way valve that switches the direction of the refrigerant flowing through the refrigerant circuit, and an outdoor unit that exchanges heat between the refrigerant flowing through the refrigerant circuit and the outdoor air. It includes a heat exchanger, an expansion valve that decompresses and expands the refrigerant flowing through the refrigerant circuit, and an outdoor fan that sends outdoor air to the outdoor heat exchanger. The indoor unit 42 includes an indoor heat exchanger that exchanges heat between the refrigerant flowing through the refrigerant circuit and the air in the indoor space 2, and an indoor fan that sends the air in the indoor space 2 to the indoor heat exchanger.

Both the outdoor unit 41 and the indoor unit 42 are equipped with a CPU, a ROM, a RAM, a communication interface, and a readable/writable non-volatile semiconductor memory, and perform an emphasizing operation according to an air conditioning control signal transmitted from the air conditioning control device 30. and controls the air conditioner 40 as a whole. Specifically, the outdoor unit 41 controls the drive frequency of the compressor, the switching of the four-way valve, the rotation speed of the outdoor fan, and the opening of the expansion valve. Also, the indoor unit 42 controls the rotational speed of the indoor fan. Thereby, the indoor space 2 is air-conditioned.

Next, a functional configuration of the air conditioning control device 30 will be described with reference to FIG. The air conditioning control device 30 functionally includes a weather data acquisition unit 310, a temperature distribution acquisition unit 320, a human information acquisition unit 330, an estimation unit 350, an air conditioning control unit 360, and a lighting control unit 370. . Each of these functions is implemented by software, firmware, or a combination of software and firmware. Software and firmware are written as programs and stored in the ROM or storage unit 32 . These functions are implemented by the CPU executing programs stored in the ROM or storage unit 32 .

The air conditioning control device 30 also includes a weather DB (database) 410 , a temperature DB 420 , and a room presence DB 430 . These are constructed in appropriate storage areas within the storage unit 32 .

The weather data acquisition unit 310 acquires weather data from the weather server 50 . Meteorological data is data relating to weather forecasts and performance, such as weather, outside temperature, amount of insolation, hours of sunshine, wind direction, and the like. The weather server 50 is a data server that is operated by the Japan Meteorological Agency, a weather service provider, and the like, and provides weather data for general use.

The weather data acquisition unit 310 communicates with the weather server 50 via the wide area network once or several times a day, for example, and obtains weather data around the indoor space 2. In other words, the indoor space 2 exists. Acquire data such as local weather and outside temperature. The weather data acquisition unit 310 is implemented by the cooperation of the control unit 31 and the communication unit 35 . The weather data acquisition unit 310 functions as weather data acquisition means.

After acquiring the weather data from the weather server 50 , the weather data acquisition unit 310 stores the acquired weather data in the weather DB 410 . The weather DB 410 is a database that stores the history of weather data. Specifically, as shown in FIG. 6, the weather DB 410 stores weather data on the outside air temperature and weather around the indoor space 2 in association with the date and time. The weather data stored in the weather DB 410 is updated each time weather data is acquired from the weather server 50 .

More specifically, the weather data acquisition unit 310 acquires, as weather data, weather forecast data predicted in the future and actual weather data indicating past performance. Of the weather data stored in the weather DB 410, weather data at a point in time past the present time corresponds to actual weather data, and weather data at a time point in the future from the present time corresponds to weather forecast data. When the weather data acquisition unit 310 acquires the actual weather data for a certain date and time from the weather server 50, the weather forecast data already stored in the weather DB 410 as the weather data for that date and time is updated to the acquired actual weather data.

Returning to FIG. 5 , the temperature distribution acquisition section 320 acquires the temperature distribution of the indoor space 2 . Here, the temperature distribution in the indoor space 2 is information indicating the spatial spread of the temperature in the indoor space 2, and the temperature at a plurality of positions such as walls, floors, windows, etc. in the indoor space 2 is measured. This is the information shown. The temperature distribution acquisition unit 320 acquires the temperature distribution of the indoor space 2 by causing the imaging unit 23 to photograph the indoor space 2 with infrared rays.

Specifically, the temperature distribution acquisition unit 320 transmits a photographing command to the plurality of photographing devices 20 installed in the indoor space 2 at a frequency of about once per hour, for example. Each photographing device 20 photographs the indoor space 2 by the photographing unit 23 upon receiving the photographing command transmitted from the air conditioning control device 30 . As a result, each imaging device 20 obtains an infrared captured image of an area in the indoor space 2 that is air-conditioned by the indoor unit 42 of the imaging device 20 itself.

FIG. 7 shows an example of a photographed image 51 of the indoor space 2 photographed by one photographing device 20. As shown in FIG. The photographed image 51 is an image photographed with infrared light, and is therefore a thermal image representing the temperature distribution, ie, heat distribution, of the indoor space 2 . As an example, it can be confirmed from the photographed image 51 that the temperature in the area where the person, the lighting 5 and the window exist in the indoor space 2 is different from the temperature in the area other than these areas.

After photographing the indoor space 2 , each photographing device 20 transmits a photographed image 51 obtained by photographing to the air conditioning control device 30 via the communication unit 25 . The temperature distribution acquisition unit 320 acquires the temperature distribution of the indoor space 2 by receiving the captured image 51 transmitted from each imaging device 20 . The temperature distribution acquisition unit 320 is implemented by the control unit 31 cooperating with the communication unit 35 . The temperature distribution acquisition unit 320 functions as temperature distribution acquisition means.

After acquiring the temperature distribution of the indoor space 2 , the temperature distribution acquiring unit 320 stores the temperature data indicated by the acquired temperature distribution in the temperature DB 420 . The temperature DB 420 is a database that stores the history of temperature data. Specifically, as shown in FIG. 8, the temperature DB 420 stores, as data of the temperature distribution in the indoor space 2, temperatures at a plurality of positions including walls, floors, and windows in the indoor space 2, and dates and times when the temperatures were acquired. are stored in association with . The temperature data stored in the temperature DB 420 is updated each time the temperature distribution acquisition unit 320 acquires the temperature distribution.

More specifically, the temperature distribution acquisition unit 320 performs a first photographing process in which the photographing unit 23 is caused to photograph the indoor space 2 while rotating the photographing unit 23, and a direction in which the photographing unit 23 is directed to a specific location in the indoor space 2. and a second photographing process of fixing the direction and allowing the photographing unit 23 to photograph the indoor space 2 .

The temperature distribution acquisition unit 320 executes the first imaging process when a predetermined timing has arrived. In the first photographing process, the temperature distribution acquisition unit 320 transmits to each photographing device 20 a command to cause the photographing unit 23 to photograph the indoor space 2 while rotating the photographing unit 23 .

Upon receiving a photographing command transmitted from the air conditioning control device 30 , each photographing device 20 photographs the indoor space 2 while driving the rotation driving section 24 and changing the orientation of the optical axis of the photographing section 23 . By rotating the photographing unit 23 in this way, it is possible to acquire a photographed image of a wide range in the indoor space 2 .

On the other hand, the temperature distribution acquisition unit 320 executes the second photographing process when the predetermined timing does not come, in other words, except when the first photographing process is being executed. In the second photographing process, the temperature distribution acquisition unit 320 issues a command to each photographing device 20 to cause the photographing unit 23 to photograph the indoor space 2 by fixing the orientation of the photographing unit 23 in the direction of a specific location in the indoor space 2. Send. Here, the specific place is specifically a person's doorway in the indoor space 2 .

Each photographing device 20 receives a photographing command transmitted from the air-conditioning control device 30, drives the rotation driving unit 24, directs the optical axis of the photographing unit 23 toward the entrance, and photographs the indoor space 2. . In this manner, by fixing the direction of the photographing unit 23 to the doorway except for the timing of executing the first photographing process, it is possible to photograph a person entering and exiting the indoor space 2 with high accuracy.

Returning to FIG. 5 , the human information acquiring unit 330 acquires human information about people present in the indoor space 2 based on the photographed image of the indoor space 2 photographed by the photographing unit 23 . The human information is information indicating the presence or absence of people in the indoor space 2 and, if there are people, the number and positions of the people. In other words, the human information acquisition unit 330 acquires the presence or absence of people in the indoor space 2, the number of people in the indoor space 2, and the positions of people in the indoor space 2 as human information.

The human information acquisition unit 330 analyzes the infrared captured image acquired from each imaging device 20 by the temperature distribution acquisition unit 320 using a well-known human recognition method to determine whether a person is included in the captured image. determine whether or not The human information acquisition unit 330 determines the presence or absence of a person by identifying the shape, motion, etc. of the person from the photographed image 51 shown in FIG. 7, for example. Then, if there are people in the indoor space 2, the human information acquisition unit 330 acquires information on the number and positions of the people.

More specifically, the human information acquisition unit 330 determines whether or not a person has entered the indoor space 2 based on the photographed image of the indoor space 2 photographed in the second photographing process. Specifically, the human information acquisition unit 330 identifies the presence or absence of a person at the doorway from the captured image captured with the imaging unit 23 fixed in the direction of the doorway of the indoor space 2 . Accordingly, the human information acquisition unit 330 determines whether or not a person has entered the room through the doorway. By photographing the doorway, it is possible to accurately determine whether or not a person has entered the room.

Upon acquiring the human information, the human information acquiring unit 330 stores the number of people in the room indicated by the acquired human information in the room existing DB 430 . The in-room DB 430 is a database that stores a history of the number of people present in the indoor space 2 . Specifically, as shown in FIG. 9, the occupancy DB 430 stores data on the number of people in the room in association with the date and time when the data was obtained. The number of people in the room stored in the room DB 430 is updated each time the person information acquisition unit 330 acquires the person information. The human information acquisition unit 330 is implemented by the control unit 31 cooperating with the storage unit 32 . The human information acquisition unit 330 functions as human information acquisition means.

Returning to FIG. 5, the estimation unit 350 includes the weather data acquired by the weather data acquisition unit 310, the temperature distribution acquired by the temperature distribution acquisition unit 320, the human information acquired by the human information acquisition unit 330, , the estimation information obtained by estimating the distribution of the heat load generated in the indoor space 2 is output. Here, the thermal load is also called an air conditioning load, and means the amount of heat required for the air conditioner 40 to keep the indoor space 2 at the target temperature. In addition to the temperature in the indoor space 2 , the heat load depends on the target temperature of the indoor space 2 and objects such as people, walls, floors, windows, etc. existing in the indoor space 2 .

The estimator 350 estimates the distribution of the heat load that will occur in the indoor space 2 at a future point in time. Here, the future time at which the estimation unit 350 estimates the distribution of the heat load is, specifically, the time at which it is predicted that a person will start entering the indoor space 2 from a state in which no person is present. .

For example, if the indoor space 2 is a room in an office building, the future time point to be estimated is set to 30 minutes before the starting time. Alternatively, if the indoor space 2 is a room in a house, the future time point to be estimated is set to the resident's return home time. Such a future point in time to be estimated may be set in advance at a specific time, or may be set at a time estimated by the estimation unit 350 based on the past number of people in the room stored in the room DB 430. May be.

More specifically, estimation unit 350 includes the functions of learning unit 380 and heat load distribution calculation unit 390 . The learning unit 380 determines the relationship between the weather data acquired by the weather data acquiring unit 310, the human information acquired by the human information acquiring unit 330, and the temperature distribution of the indoor space 2 acquired by the temperature distribution acquiring unit 320. learn.

The learning unit 380 refers to history data accumulated in the past period in each of the weather DB 410, the temperature DB 420, and the room presence DB 430. FIG. Then, the learning unit 380 generates a trained model 450 by executing machine learning using these data as teacher data. The learned model 450 is a model that outputs the temperature distribution of the indoor space 2 in response to inputs of weather data and human information. In general, the greater the amount of teacher data, that is, the more data in the past is used as the learning target, the higher the accuracy of learning.

As an example, the learning unit 380 uses a neural network technique. A neural network is a model that includes an input layer, an output layer, and at least one intermediate layer, and outputs output data from the output layer in response to input data that has been input to the input layer. The input data to be input to the input layer are, specifically, meteorological data such as outside air temperature and weather, and the number of people in the indoor space 2 . Also, the output data output from the output layer is the temperature distribution of the indoor space 2 .

The learning unit 380 uses the actual weather data, the temperature data, and the number of people in the room in the past period stored in the weather DB 410, the temperature DB 420, and the room occupancy DB 430, respectively, as teacher data to determine the connection of each layer in the neural network. Adjust weights. Specifically, the learning unit 380 inputs the weather data stored in the weather DB 410 and the number of people in the room stored in the room DB 430 as input data to the input layer. Then, the learning unit 380 determines the temperature distribution output as output data from the output layer in response to the input of the input data, out of the temperature data stored in the temperature DB 420, the weather data input to the input layer and the current temperature distribution. Compare with temperature data for the same or corresponding date and time as the number of people in the room. As a result of the comparison, the learning unit 380 adjusts the coupling weight of each layer using the error backpropagation method so that the difference between the temperature distribution output from the output layer and the temperature data stored in the temperature DB 420 is small. do.

The learning unit 380 performs such processing on data of each date and time stored in the weather DB 410 , the temperature DB 420 and the room presence DB 430 . As a result, the learning unit 380 learns the relationship between the weather data, the human information, and the temperature distribution, and generates a trained model 450 that outputs the temperature distribution of the indoor space 2 in response to the inputs of the weather data and the human information. do. The learning unit 380 is implemented by the cooperation of the control unit 31 and the storage unit 32 . The learning unit 380 functions as learning means.

The heat load distribution calculator 390 calculates the heat load distribution that will occur in the indoor space 2 at a future point in time, based on the learning result of the learning unit 380 . First, based on the human information in the indoor space 2 acquired by the human information acquisition unit 330, the heat load distribution calculator 390 estimates the number of people present in the indoor space 2 in the future.

Specifically, the heat load distribution calculation unit 390 refers to the history information of the number of people in the room stored in the DB 430 in the room. Then, based on the number of people in the room at the date and time corresponding to the future time to be estimated, among the number of people in the room stored in the room DB 430, the heat load distribution calculation unit 390 calculates the number of people in the room at that future time. Estimate the number of people present in space 2. For example, the heat load distribution calculation unit 390 calculates the past average of the number of people in the room stored in the room DB 430 at the future point in time to be estimated, the time, the day of the week, etc. , as the number of people present in the indoor space 2 at that future time.

After estimating the number of people in the room in this way, secondly, the heat load distribution calculation unit 390 calculates the estimated number of people in the room, the weather forecast data among the weather data acquired by the weather data acquisition unit 310, Based on the relationship learned by the learning unit 380, the temperature distribution of the indoor space 2 at a future point in time is estimated.

Specifically, the estimation unit 350 has learned the estimated number of people in the room and the future weather forecast data to be estimated from among the data stored in the weather DB 410 as input data. Input to model 450 . Then, the estimation unit 350 estimates the temperature distribution output from the learned model 450 as output data in response to such an input as the temperature distribution of the indoor space 2 at a future point in time to be estimated.

After estimating the temperature distribution in this way, thirdly, the heat load distribution calculator 390 calculates the heat load distribution from the temperature distribution estimated by the learned model 450 according to a predetermined calculation procedure.

For example, the heat load of walls, floors, windows, etc. is calculated by multiplying the temperature difference between the temperature of walls, floors, windows, etc. and the target temperature by the area of walls, floors, windows, etc. and the heat transmission coefficient. . Also, the human heat load is calculated by multiplying the sensible heat and latent heat per person by the number of people in the room. Therefore, the heat load distribution calculation unit 390 calculates the temperature distribution estimated by the learned model 450 based on the information on the walls, floors, windows, etc. provided in the indoor space 2 and the estimated number of people in the room. The temperature of the position is converted into a heat load at each position within the indoor space 2 . Thereby, the heat load distribution calculator 390 calculates the heat load distribution that will occur in the indoor space 2 in the future.

Thus, the heat load distribution calculator 390 calculates the spatial distribution of the heat load generated in the indoor space 2 using the weather forecast data, the estimated number of people in the room, and the learning result by the learning section 380 . The heat load distribution calculator 390 is implemented by the control unit 31 cooperating with the storage unit 32 . The heat load distribution calculator 390 functions as a heat load distribution calculator.

The estimator 350 estimates the heat load distribution calculated by the heat load distribution calculator 390 as the heat load distribution that will occur in the indoor space 2 in the future. Then, estimation unit 350 outputs estimation information indicating the estimated heat load distribution to air conditioning control unit 360 . Estimation unit 350 is implemented by cooperation of control unit 31 and storage unit 32 . The estimator 350 functions as an estimator.

The estimating unit 350 executes such a process of estimating the heat load distribution at a timing that is a predetermined time before the timing at which people are expected to start entering the indoor space 2 . For example, as shown in FIG. 10, when it is predicted that a person will start entering the indoor space 2 at time T3, the estimation unit 350 performs the estimation process at time T1, which is a predetermined time before time T3. to run. The predetermined time is set in advance to a length of time such as 30 minutes, 1 hour, or the like.

Returning to FIG. 5 , the air-conditioning control unit 360 receives input of the estimation information output by the estimation unit 350 and outputs an air-conditioning control signal for causing the air conditioner 40 to air-condition the indoor space 2 . The air conditioning control unit 360 generates an air conditioning control signal for causing the air conditioner 40 to perform air conditioning according to the heat load distribution estimated in the estimation information output by the estimation unit 350 . The air conditioning control unit 360 causes the air conditioner 40 to air the indoor space 2 by transmitting the generated air conditioning control signal to the air conditioner 40 via the communication unit 35 . The air conditioning control unit 360 is implemented by the control unit 31 cooperating with the communication unit 35 . Air conditioning control unit 360 functions as air conditioning control means.

More specifically, the air conditioning control unit 360 controls the heat load distribution estimated in the estimation information output from the estimation unit 350 for a length of time corresponding to the estimated heat load distribution. First, an air conditioning control signal is output to cause the air conditioner 40 to start air conditioning of the indoor space 2 . For example, as shown in FIG. 10, when it is predicted that people will start entering the room at time T3, the air conditioning control unit 360 controls the temperature of the indoor space 2 to reach the target temperature at time T3. At the previous time T2, the air conditioner 40 is caused to start air conditioning the indoor space 2 .

The length of time between time T3 and time T2 is set according to the heat load distribution estimated by estimation unit 350 . For example, the air conditioning control unit 360 may require a longer time to change the temperature of the indoor space 2 to the target temperature when the average value of the heat loads at a plurality of positions indicated by the estimated heat load distribution is larger. Therefore, the length of time between time T3 and time T2 is set longer. The air conditioning control unit 360 causes the air conditioner 40 to start precooling or prewarming at the time T2 thus set.

For example, when precooling is started at time T2, the wall temperature of the indoor space 2 changes as indicated by the solid line in FIG. Specifically, the wall temperature of the indoor space 2 rises from time T1 to time T2 as the outside air temperature rises as indicated by the dashed line. After that, when cooling is started at time T2, the wall temperature starts to decrease at time T2 and reaches the target temperature at time T3. Since the temperature of the indoor space 2 reaches the target temperature at the time T3 in this way, the comfort of the person entering the indoor space 2 can be improved.

Furthermore, the air-conditioning control unit 360 controls the location of the indoor space 2 where the heat load indicated by the heat load distribution estimated in the estimation information output by the estimation unit 350 is greater, with a stronger intensity. output an air conditioning control signal for air conditioning. FIG. 11 shows an example of the heat load distribution estimated by the estimation unit 350 when the indoor space 2 is air-conditioned by a plurality of indoor units 42 . As shown in FIG. 11 , when heat is accumulated in a shaded area 60 , the air-conditioning control unit 360 cools this area 60 with a higher intensity than areas other than the area 60 in the indoor space 2 . , an air conditioning control signal is transmitted to the plurality of indoor units 42 .

Specifically, the air-conditioning control unit 360 controls the indoor unit 42 that is installed inside or closest to the area 60 where the heat buildup is occurring among the plurality of indoor units 42, and controls the other indoor units 42 to It is cooled with a stronger intensity than 42. Alternatively, the air conditioning control unit 360 may direct the direction of the conditioned air blown out from each indoor unit 42 toward the heat pool. By adjusting the intensity of the air conditioning according to the difference in the heat load depending on the position in this way, the area in the indoor space 2 having a relatively large heat load can be brought closer to the target temperature in a shorter period of time.

Returning to FIG. 5 , when the human information acquiring unit 330 determines that a person has entered the indoor space 2 , the lighting control unit 370 turns on the lighting 5 in the indoor space 2 . Specifically, the lighting control unit 370 determines whether or not a person enters the indoor space 2 through the doorway based on the human information acquired by the human information acquisition unit 330 from the photographed image of the doorway. Then, when it is determined that a person first enters the indoor space 2 from a state in which no person is present, the lighting control unit 370 transmits a lighting control signal to the lighting 5 via the communication unit 35 to control the lighting. 5 is lit.

In this way, by controlling the lighting 5 in addition to controlling the air conditioning according to the entry of people into the room, the comfort of the people entering the indoor space 2 can be further improved. The illumination control section 370 is implemented by the control section 31 cooperating with the communication section 35 . The lighting control section 370 functions as lighting control means.

The flow of the air conditioning control process executed by the air conditioning control device 30 configured as described above will be described with reference to the flowchart shown in FIG. The air-conditioning control process shown in FIG. 12 is appropriately executed in a state in which the air-conditioning system 1 can normally air-condition the indoor space 2 .

When the air conditioning control process is started, the control unit 31 functions as the weather data acquisition unit 310 and acquires weather data from the weather server 50 (step S1). More specifically, the control unit 31 communicates with the weather server 50 once or several times a day, and obtains weather forecast data and actual weather data. The control unit 31 stores the acquired weather forecast data and actual weather data in the weather DB 410 .

After acquiring the weather data, the control unit 31 determines whether or not the learning timing, which comes once every hour, for example, has arrived (step S2). When the learning timing has arrived (step S2; YES), the control section 31 executes the first photographing process (step S3). Details of the first photographing process in step S3 will be described with reference to the flowchart shown in FIG.

When the first photographing process shown in FIG. 13 is started, the control section 31 rotates the photographing section 23 of each photographing device 20 (step S31). Then, the control unit 31 functions as the temperature distribution acquisition unit 320 and acquires the temperature distribution of the indoor space 2 by causing each imaging device 20 to photograph the indoor space 2 (step S32). The control unit 31 saves the temperature data indicated by the acquired temperature distribution in the temperature DB 420 .

After obtaining the temperature distribution, the control unit 31 functions as the human information obtaining unit 330 and obtains the human information (step S33). More specifically, the control unit 31 identifies the shape, movement, etc. of a person from a photographed image obtained by photographing the indoor space 2 and determines whether or not there is a person in the indoor space 2 . Then, if there are people in the indoor space 2, the control unit 31 acquires information on the number and positions of the people. The control unit 31 saves the number of persons present in the room indicated by the acquired person information in the room presence DB 430 .

Next, the control unit 31 functions as the learning unit 380 and learns the relationship between the weather data, human information in the indoor space 2, and the temperature distribution in the indoor space 2 (step S34). Specifically, the control unit 31 executes machine learning using data stored in the weather DB 410, the temperature DB 420, and the room presence DB 430 as teacher data. Thereby, the control unit 31 generates a trained model 450 that outputs a temperature distribution in response to inputs of weather data and human information.

Next, the controller 31 determines whether or not the timing for estimating the heat load distribution in the indoor space 2 has arrived (step S35). The timing for estimating the heat load distribution is, specifically, a timing earlier than a future point of time to be estimated by a predetermined time, such as time T1 shown in FIG.

When the timing for estimating the heat load distribution has arrived (step S35; YES), the control unit 31 functions as the heat load distribution calculation unit 390, and estimates the heat load distribution at a future point in time to be estimated ( step S36). Specifically, the control unit 31 estimates the number of people in the room at a future point in time to be estimated, and based on the estimated number of people in the room, the weather forecast data, and the learned model 450 generated in step S34, , the temperature distribution at a future point in time to be estimated is estimated, and the heat load distribution is calculated from the estimated temperature distribution according to a predetermined calculation procedure.

After estimating the heat load distribution, the control unit 31 functions as the air conditioning control unit 360, and pre-cools or pre-warms the indoor space 2 based on the estimated heat load distribution (step S37). Specifically, the control unit 31 sets the timing to start precooling or preheating according to the estimated heat load distribution. Then, the control unit 31 transmits an air conditioning control signal to the air conditioner 40 at the set timing to start precooling or prewarming of the indoor space 2 .

On the other hand, if the timing for estimating the heat load distribution has not arrived (step S35; NO), the control unit 31 skips the processes of steps S36 and S37. Thus, the first photographing process shown in FIG. 13 ends.

Returning to FIG. 12, if the learning timing has not arrived in step S2 (step S2; NO), the control section 31 executes the second photographing process (step S4). Details of the second photographing process in step S4 will be described with reference to the flowchart shown in FIG.

When the second photographing process shown in FIG. 14 is started, the control section 31 fixes the direction of the photographing section 23 of each photographing device 20 toward the doorway (step S41). Then, the control unit 31 functions as the temperature distribution acquisition unit 320 and acquires the temperature distribution of the space where the entrance is provided by causing the imaging unit 23 to photograph the entrance (step S42).

After obtaining the temperature distribution, the control unit 31 functions as the human information obtaining unit 330 and obtains the human information (step S43). More specifically, the control unit 31 identifies the shape, movement, etc. of a person from a photographed image obtained by photographing the doorway, and determines whether or not there is a person in the indoor space 2 . Then, if there are people in the indoor space 2, the control unit 31 acquires information on the number and positions of the people. The control unit 31 saves the number of persons present in the room indicated by the acquired person information in the room presence DB 430 .

After acquiring the human information, the control unit 31 determines whether or not the entry of a person into the indoor space 2 has been detected based on the acquired human information (step S44). When entry into the room is detected (step S44; YES), the controller 31 functions as the lighting controller 370 and turns on the lighting 5 (step S45).

On the other hand, if entry into the room is not detected (step S44; NO), the control unit 31 skips the process of step S45. As described above, the second photographing process shown in FIG. 14 ends.

Returning to FIG. 12, after executing the first or second imaging process, the control unit 31 saves the control result in the storage unit 32 (step S5). After that, the control unit 31 returns the process to step S1, and repeats the processes of steps S1 to S5. In this manner, the control unit 31 repeatedly executes the above-described first photographing process or second photographing process while the air conditioning system 1 can operate normally.

As described above, the air conditioning control device 30 according to Embodiment 1 acquires the weather data, the temperature distribution of the indoor space 2, and the human information of the indoor space 2, and combines the acquired weather data, temperature distribution, and human information. , and the indoor space 2 is air-conditioned by the air conditioner 40 based on the estimated heat load distribution. Thus, since the air conditioning control device 30 according to Embodiment 1 estimates the distribution of the heat load, it is possible to perform the air conditioning control according to the difference in the position of the heat load in the indoor space 2 . As a result, the indoor space 2 can be appropriately air-conditioned, and the comfort of the indoor space 2 can be improved.

(Embodiment 2)
Next, Embodiment 2 of the present invention will be described.

In Embodiment 1 described above, the temperature distribution acquisition unit 320 executes the first imaging process when a predetermined timing arrives, and executes the second imaging process otherwise. On the other hand, in Embodiment 2, the temperature distribution acquisition unit 320 performs the second imaging process when the temperature in the specific location changes more greatly than the temperature in the indoor space 2 other than the specific location. Run.

In Embodiment 2, the specific place is a place where a larger temperature change per unit time is predicted than other places than the specific place at the specific time. As an example, the specific place is a window provided in the indoor space 2, for example. Also, the specific time is early in the morning or late in the evening.

More specifically, the windows tend to undergo rapid temperature changes in a short period of time compared to places other than the windows in the indoor space 2 because the windows are greatly illuminated by sunlight in the morning or evening. Therefore, in the morning or evening hours, the temperature distribution acquisition unit 320 rotates the photographing unit 23 and fixes its orientation toward the window. Then, the temperature distribution acquisition unit 320 acquires the temperature distribution by causing the imaging unit 23 to photograph the space provided with the window.

As described above, the air-conditioning control device 30 according to the second embodiment acquires detailed temperature data of the place by fixing the orientation of the photographing unit 23 in the direction of the place in the indoor space 2 where the temperature is likely to change. be able to. As a result, the heat load distribution can be estimated more accurately, and more appropriate air conditioning control can be achieved.

(Embodiment 3)
Next, Embodiment 3 of the present invention will be described.

In Embodiment 3, each photographing device 20 changes the rotation speed at which the photographing unit 23 is rotated by the rotation driving unit 24 depending on whether or not there is a person in the indoor space 2 . Specifically, when there are people in the indoor space 2, if the imaging unit 23 is rotated at high speed, the noise reduces comfort. On the other hand, when there is no person in the indoor space 2, no noise problem occurs. In addition, when there is no person in the indoor space 2, it is desirable that the direction of the imaging unit 23 is fixed in the direction of the doorway for as long as possible in order to monitor the entry of people.

Therefore, in the first photographing process, the temperature distribution acquisition unit 320 rotates the photographing unit 23 at a higher speed when there is no person in the indoor space 2 than when there is a person in the indoor space 2. The photographing part 23 is caused to photograph the indoor space 2 while the camera is being moved.

Specifically, the temperature distribution acquisition unit 320 determines whether or not there is a person in the indoor space 2 based on the human information acquired by the human information acquisition unit 330 . As a result of the determination, the temperature distribution acquisition unit 320 sets the rotation speed of the photographing unit 23 to be higher when there is no person in the indoor space 2 than when there is a person in the indoor space 2. , the first photographing process is executed. As a result, the time required for the first photographing process can be shortened, and the other time can be used for monitoring the entry of people into the room. Therefore, the immediacy of control of the lighting 5 can be improved.

(Modification)
Although the embodiments of the present invention have been described above, various modifications and applications are possible in carrying out the present invention.

For example, in the above-described embodiment, the temperature distribution acquisition unit 320 acquires the temperature distribution of the indoor space 2 by causing the imaging unit 23 to photograph the indoor space 2 . However, in the present invention, temperature sensors are installed at a plurality of different positions in the indoor space 2, and the temperature distribution acquisition unit 320 acquires the temperature measurement results of these temperature sensors to obtain the temperature of the indoor space 2. You can get the distribution.

In the above embodiment, the human information acquiring section 330 acquires the human information in the indoor space 2 based on the photographed image of the indoor space 2 photographed by the photographing section 23 . However, in the present invention, at least one human sensor is installed in the indoor space 2, and the human information acquisition unit 330 acquires the human detection result from the at least one human sensor, thereby Personal information may be obtained.

In the above embodiment, the air conditioning control device 30 has the learning section 380 . However, in the present invention, the function of the learning unit 380 is not limited to being provided in the air conditioning control device 30 and may be provided in a device external to the air conditioning control device 30 . In that case, the estimation unit 350 acquires the learning result by the external device from the external device via the communication unit 35 . Then, the estimation unit 350 estimates the distribution of the heat load generated in the indoor space 2 based on the obtained learning result. By not providing the function of the learning unit 380, the configuration of the air conditioning control device 30 can be further simplified.

In the above embodiment, learning unit 380 learned the relationship between weather data, human information in indoor space 2, and temperature distribution in indoor space 2 using a neural network. However, in the present invention, the learning unit 380 is not limited to the neural network, and may use other machine learning methods. For example, the learning unit 380 may learn the relationship between weather data and human information in the indoor space 2 and the temperature distribution in the indoor space 2 using a regression analysis technique using a support vector machine.

In the above embodiment, the learning unit 380 learned the relationship between weather data, human information in the indoor space 2 , and the temperature distribution in the indoor space 2 . In other words, in the above embodiment, the process of calculating the heat load distribution from the temperature distribution by the heat load distribution calculator 390 was performed after the learning process by the learning section 380 . However, in the present invention, the process of calculating the heat load distribution from the temperature distribution may be executed before the learning process by the learning section 380. In this case, the learning unit 380 calculates the heat load distribution from the temperature data stored in the temperature DB 420 according to a predetermined calculation procedure. Then, the learning unit 380 learns the relationship between the actual weather data stored in the weather DB 410, the data on the number of people in the room stored in the room DB 430, and the calculated heat load distribution. Generate a finished model 450 . The heat load distribution calculator 390 calculates the heat load distribution at a future point in time based on the weather forecast data, the estimated number of people in the room at the future point in time, and the learned model 450 . Thus, the details of the process of estimating the heat load distribution from the weather data, temperature distribution, and human information are not limited to the above embodiment.

In the above-described embodiment, the air conditioning system 1 includes the plurality of photographing devices 20 and the plurality of air conditioners 40 . However, in the present invention, the number of the photographing device 20 and the air conditioner 40 provided in the air conditioning system 1 may be one. Further, if the photographing device 20 can acquire the temperature distribution within the required range in the indoor space 2, the photographing unit 23 does not have to be rotationally driven. Also, in order to simplify the configuration, the air conditioning control device 30 does not have to have the function of the lighting control section 370 .

In the above embodiment, the CPU in the control unit 31 functions as each unit shown in FIG. 5 by executing the program stored in the ROM or the storage unit 32 . However, in the present invention, the controller 31 may be dedicated hardware. Dedicated hardware is, for example, a single circuit, a composite circuit, a programmed processor, an ASIC (Application Specific Integrated Circuit), an FPGA (Field-Programmable Gate Array), or a combination thereof. When the control unit 31 is dedicated hardware, each function of each unit may be realized by separate hardware, or the functions of each unit may be collectively realized by single hardware.

Also, some of the functions of each unit may be realized by dedicated hardware, and other parts may be realized by software or firmware. In this way, the control unit 31 can implement each function described above by hardware, software, firmware, or a combination thereof.

By applying an operation program that defines the operation of the air conditioning control device 30 according to the present invention to a computer such as an existing personal computer or an information terminal device, the computer can be used as the imaging device 20 or the air conditioning control device 30 according to the present invention. It is also possible to make it work.

Any method of distributing such programs may be used. For example, a CD-ROM (Compact Disk ROM), a DVD (Digital Versatile Disk), an MO (Magneto Optical Disk), or a computer-readable recording medium such as a memory card may be used. It may be stored in a medium and distributed, or may be distributed via a communication network such as the Internet.

The present invention is capable of various embodiments and modifications without departing from the broader spirit and scope of the invention. Moreover, the embodiment described above is for explaining the present invention, and does not limit the scope of the present invention. That is, the scope of the present invention is indicated by the claims rather than the embodiments. Various modifications made within the scope of the claims and within the meaning of the invention equivalent thereto are considered to be within the scope of the present invention.

INDUSTRIAL APPLICATION This invention can be suitably employ|adopted for an air-conditioning system etc.

1 air-conditioning system, 2 indoor space, 5 lighting, 10 air-conditioning control system, 20 photographing device, 21 control unit, 22 storage unit, 23 photographing unit, 24 rotation driving unit, 25 communication unit, 30 air-conditioning control device, 31 control unit, 32 storage unit, 33 user interface, 35 communication unit, 40 air conditioner, 41 outdoor unit, 42 indoor unit, 50 weather server, 51 photographed image, 60 area, 310 weather data acquisition unit, 320 temperature distribution acquisition unit, 330 human information Acquisition unit 350 Estimation unit 360 Air conditioning control unit 370 Lighting control unit 380 Learning unit 390 Heat load distribution calculation unit 410 Weather DB 420 Temperature DB 430 In-room DB 450 Learned model

Claims (11)

An air conditioning control device for controlling air conditioning of an indoor space by an air conditioner,
Meteorological data acquisition means for acquiring meteorological data;
a temperature distribution acquiring means for acquiring a temperature distribution of the indoor space by causing a photographing means for photographing the indoor space with infrared rays to photograph the indoor space ;
human information acquiring means for acquiring human information about a person in the indoor space based on the photographed image of the indoor space photographed by the photographing means;
receiving input of the weather data acquired by the weather data acquisition means, the temperature distribution acquired by the temperature distribution acquisition means, and the human information acquired by the human information acquisition means, an estimating means for outputting estimated information obtained by estimating the distribution of the heat load generated in the space;
air conditioning control means for receiving input of the estimated information output by the estimation means and outputting an air conditioning control signal for causing the air conditioner to air condition the indoor space ;
The temperature distribution acquiring means rotates the photographing means at a higher speed than when there is a person in the indoor space when no person exists in the indoor space, and the temperature distribution obtaining means rotates the photographing means to capture the temperature of the indoor space. to shoot the
Air conditioning controller. The temperature distribution acquiring means performs a first photographing process of causing the photographing means to photograph the indoor space while rotating the photographing means, and fixing the direction of the photographing means to a specific location in the indoor space. a second photographing process that causes the photographing means to photograph the indoor space;
The air conditioning control device according to claim 1 . The specific place is a person's doorway in the indoor space,
The human information acquisition means determines whether or not a person has entered the indoor space based on the photographed image of the indoor space photographed in the second photographing process.
The air conditioning control device according to claim 2 . further comprising lighting control means for turning on the lighting of the indoor space when the human information acquiring means determines that a person has entered the indoor space;
The air conditioning control device according to claim 3 . The temperature distribution acquisition means executes the second imaging process when the temperature at the specific location changes more greatly than at locations other than the specific location in the indoor space.
The air conditioning control device according to any one of claims 2 to 4 . The estimation means is
learning means for learning the relationship between the weather data acquired by the weather data acquiring means, the human information acquired by the human information acquiring means, and the temperature distribution acquired by the temperature distribution acquiring means;
Based on the human information acquired by the human information acquiring means, the number of people present in the indoor space at a time point in the future is estimated, and the estimated number of people and the weather data acquired by the weather data acquiring means are estimated. heat load distribution calculation means for calculating the distribution of the heat load at a future point in time based on the weather forecast data out of the weather data obtained and the relationship learned by the learning means;
The air conditioning control device according to any one of claims 1 to 5 . The future point in time is a point in time when it is estimated that a person will start entering the indoor space;
The air conditioning control means causes the air conditioner to move to the indoor space before the future time by a length of time corresponding to the distribution of the heat load estimated in the estimation information output by the estimation means. outputting the air conditioning control signal to start air conditioning of
The air conditioning control device according to claim 6 . The air conditioning control means controls, in the indoor space, a place where the heat load indicated by the distribution of the heat load estimated in the estimation information output by the estimation means is greater, with a stronger intensity. outputting the air conditioning control signal to cause air conditioning to
The air conditioning control device according to any one of claims 1 to 7 . An air conditioning control device according to any one of claims 1 to 8 , and the air conditioner,
air conditioning system. get weather data,
Acquiring the temperature distribution of the indoor space by photographing the indoor space with a photographing means for photographing the indoor space with infrared rays ;
Acquiring human information about a person in the indoor space based on the photographed image of the indoor space photographed by the photographing means ;
estimating a heat load distribution generated in the indoor space based on the acquired weather data, the temperature distribution, and the human information;
air-conditioning the indoor space based on the estimated heat load distribution;
An air conditioning method comprising:
In the step of acquiring the temperature distribution of the indoor space, when no person exists in the indoor space, the photographing is performed while rotating the photographing means at a higher speed than when a person exists in the indoor space. causing the means to photograph the indoor space;
air conditioning method. The computer that controls the air conditioning of the indoor space by the air conditioner,
Meteorological data acquisition means for acquiring meteorological data;
temperature distribution acquiring means for acquiring the temperature distribution of the indoor space by causing an imaging means for photographing the indoor space with infrared rays to photograph the indoor space ;
human information acquisition means for acquiring human information about people in the indoor space based on the photographed image of the indoor space photographed by the photographing means;
receiving input of the weather data acquired by the weather data acquisition means, the temperature distribution acquired by the temperature distribution acquisition means, and the human information acquired by the human information acquisition means, estimating means for outputting estimated information obtained by estimating the distribution of the heat load generated in the space;
functioning as air conditioning control means for receiving input of the estimated information output by the estimation means and outputting an air conditioning control signal for causing the air conditioner to air condition the indoor space ;
The temperature distribution acquiring means rotates the photographing means at a higher speed than when there is a person in the indoor space when no person exists in the indoor space, and the temperature distribution obtaining means rotates the photographing means to capture the temperature of the indoor space. to shoot the
program.

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