WO2021199381A1

WO2021199381A1 - Air conditioning system and method for controlling air conditioner

Info

Publication number: WO2021199381A1
Application number: PCT/JP2020/015040
Authority: WO
Inventors: 芸青范
Original assignee: 三菱電機株式会社
Priority date: 2020-04-01
Filing date: 2020-04-01
Publication date: 2021-10-07
Also published as: US20230066057A1; JPWO2021199381A1; JP7199597B2; CN115335644A

Abstract

This air conditioning system comprises: an air conditioner; a person detection means for detecting, for a plurality of users, the amount of activity of each user and the position of each user; a storage device that stores groups containing comfort index distributions, which are distributions of comfort indexes indicating the comfort level of users in an air-conditioned space corresponding to each of the plurality of air conditioning control patterns of the air conditioner, for each of a plurality of activity amounts; and a control device that identifies the group corresponding to the amount of activity of each user, extracts the plurality of comfort indexes corresponding to the position of each user from the plurality of comfort index distributions in the identified group, calculates the comfort efficiency, which indicates the overall comfort level of the plurality of users for each of the plurality of air conditioning control patterns, using the plurality of comfort indexes extracted according to the position of each user, and finds the air conditioning control pattern that maximizes the calculated comfort efficiency from among the multiple air conditioning control patterns.

Description

How to control air conditioners and air conditioners

This disclosure relates to an air conditioning system that air-conditions the air-conditioned space and a control method for the air conditioning device.

In recent years, there is an increasing need for improving the comfort of the living environment due to the effects of changes in the external environment such as global warming. The role of air conditioners to keep the warmth and coldness of living people comfortable is increasing. A comfort index called PMV (Predicted Mean Vote) has been proposed to realize comfort. An air conditioning control system that monitors the PMV of a user in an air conditioning target space and controls an air conditioner is disclosed (see, for example, Patent Document 1).

In the air conditioning control system disclosed in Patent Document 1, when performing local air conditioning that sends a local air flow to a requester, the PMV of an adjacent person at a predetermined distance from the requester maintains a predetermined range, and the requester Local air conditioning is performed so that the PMV of the above is within a predetermined range. The air conditioning control system disclosed in Patent Document 1 weakens local air conditioning when the PMV of an adjacent person deviates from a predetermined range.

International Publication No. 2008/087959

The air conditioning control system disclosed in Patent Document 1 gives priority to the comfort of the neighbor over the requester when the PMV of the neighbor deviates from the predetermined range, and controls to weaken the local air conditioning. In this case, it takes time for the requester's PMV to fall within a predetermined range due to the weakening of the local air conditioning. Meanwhile, the requester must put up with an unpleasant condition. In the air conditioning control system disclosed in Patent Document 1, when there are a plurality of users in the air conditioning target space, if an attempt is made to improve the comfort of some users, the comfort of the remaining users is impaired.

This disclosure is made to solve the above-mentioned problems, and provides an air conditioning system for improving the comfort of a plurality of users in an air-conditioned space, and a control method for the air conditioning device. be.

The air conditioning system according to the present disclosure detects the activity amount of each user and the position of each user in the air conditioning target space for an air conditioning device that air-conditions the air conditioning target space and a plurality of users in the air conditioning target space. A plurality of activities include a group including a person detection means and a comfort index distribution which is a distribution of comfort indexes indicating the comfort level of a user in the air-conditioned space corresponding to each of a plurality of air-conditioning control patterns of the air-conditioning device. The storage device that stores each amount and the group corresponding to the activity amount detected by the person detecting means are specified for each user, and the person is detected from the plurality of comfort index distributions in the specified group. A plurality of the comfort indexes corresponding to the positions detected by the means are extracted, and the plurality of comfort indexes extracted corresponding to the positions of the respective users are used, and the air conditioning control patterns are described for each of the plurality of air conditioning control patterns. It has a control device that calculates a comfort efficiency indicating the total comfort level of a plurality of users and obtains an air conditioning control pattern that maximizes the calculated comfort efficiency among the plurality of air conditioning control patterns. ..

The control method of the air conditioning device according to the present disclosure includes, for a plurality of users in the air-conditioned space, the activity amount of each user and the person detecting means and the storage device for detecting the position of each user in the air-conditioned space. A method of controlling an air conditioner by a connected control device, which is a distribution of comfort indexes indicating a user's comfort level in the air-conditioned space corresponding to each of a plurality of air conditioning control patterns of the air conditioner. A step of storing a group including a sex index distribution for each of a plurality of activity amounts, a step of specifying the group corresponding to the activity amount detected by the person detecting means for each user, and a step of specifying the group corresponding to the activity amount detected by the person detecting means, and for each user. From the plurality of comfort index distributions in the specified group, the steps of extracting the plurality of comfort indexes corresponding to the positions detected by the person detecting means and the steps corresponding to the positions of the respective users were extracted. The step of calculating the comfort efficiency indicating the total comfort of the plurality of users for each of the plurality of air conditioning control patterns using the plurality of comfort indexes, and the calculation of the plurality of air conditioning control patterns. It has a step of obtaining an air conditioning control pattern that maximizes the comfort efficiency.

According to the present disclosure, a group including a comfort index distribution in the air-conditioned space corresponding to each of a plurality of air-conditioned control patterns can be obtained according to the activity amount of each user in the air-conditioned space. In addition, a plurality of comfort indexes are extracted from a plurality of comfort index distributions in the group according to the position of each user in the air-conditioned space. Then, based on the plurality of comfort indexes of each user, the air conditioning control pattern that maximizes the comfort efficiency of the plurality of users is obtained from the plurality of air conditioning control patterns. By performing air conditioning by the air conditioner according to the air conditioning control pattern that maximizes the comfort efficiency of the plurality of users, it is possible to improve the comfort for the plurality of users.

It is a figure which shows one configuration example of the air-conditioning system which concerns on Embodiment 1. FIG. It is a refrigerant circuit diagram which shows one configuration example of the air conditioner shown in FIG. It is a side schematic diagram which shows one configuration example of the load side unit shown in FIG. It is a schematic diagram which shows the relationship between the angle of the 1st flap shown in FIG. 3 and the air blowing direction. It is a schematic diagram which shows the relationship between the angle of the 2nd flap shown in FIG. 3 and the air blowing direction. It is a figure which shows an example of the range in the vertical direction of the temperature distribution detected by the infrared sensor shown in FIG. It is a figure which shows an example of the horizontal range of the temperature distribution detected by the infrared sensor shown in FIG. It is an image diagram which shows an example of the case where the temperature distribution detected by the infrared sensor shown in FIG. 2 is displayed on a two-dimensional image. It is a functional block diagram which shows one configuration example of the control device shown in FIG. It is a hardware configuration diagram which shows one configuration example of the control device shown in FIG. It is a hardware configuration diagram which shows another configuration example of the control device shown in FIG. It is a functional block diagram which shows one configuration example of the control device of the information processing apparatus shown in FIG. It is a table which shows the example of the combination which described the type of activity and the energy metabolism rate which represents the amount of activity. It is a hardware configuration diagram which shows one configuration example of the arithmetic unit shown in FIG. FIG. 5 is a layout diagram showing an example of an air-conditioned space in which the air conditioner shown in FIG. 1 is air-conditioned. It is a table which shows an example of the activity amount and position of each user. It is a schematic diagram which shows the operation procedure of the information processing apparatus which concerns on Embodiment 1. FIG. It is a flowchart which shows the operation procedure of the information processing apparatus which concerns on Embodiment 1. FIG. It is a table which shows an example of the calculation result of comfort efficiency. It is an image diagram which shows an example of the IPMV distribution in the case of the air conditioning control pattern determined in step S107. It is an image diagram which shows another example of the IPMV distribution in the case of the air conditioning control pattern determined in step S107. It is a figure which shows one configuration example of the air-conditioning system of the modification 1.

The embodiments of the present disclosure will be described in detail with reference to the drawings. The various specific setting examples described in the present embodiment are examples, and are not limited to the described setting examples. Further, in the embodiment of the present disclosure, the communication means either one or both of wireless communication and wired communication. In the present embodiment, the communication may be a communication method in which wireless communication and wired communication are mixed. The communication method may be, for example, one in which wireless communication is performed in a certain section and wired communication is performed in another space. Further, the communication from one device to another device may be performed by wired communication, and the communication from another device to a certain device may be performed by wireless communication.

Embodiment 1.
The configuration of the air conditioning system 1 of the first embodiment will be described. FIG. 1 is a diagram showing a configuration example of an air conditioning system according to the first embodiment. As shown in FIG. 1, the air conditioning system includes an air conditioning device 10 that harmonizes the air in a room that is an air-conditioned space, a person detecting means 30 that detects the activity amount and position of a user in the room, and an air conditioning device. It has 10 and an information processing device 2 that is communicated and connected with the person detecting means 30. The air conditioner 10 and the person detecting means 30 are communicated and connected to the information processing device 2 via the network 50. The network 50 is, for example, the Internet.

The person detecting means 30 includes an activity amount detecting means 32 for detecting the activity amount of the user in the room and a position detecting means 31 for detecting the position of the user in the room.

The configuration of the air conditioner 10 shown in FIG. 1 will be described. FIG. 2 is a refrigerant circuit diagram showing a configuration example of the air conditioner shown in FIG. The air conditioner 10 has a heat source side unit 104 that generates a heat source, and a load side unit 103 that adjusts the air in the room by using the heat source generated by the heat source side unit 104. The heat source side unit 104 includes a compressor 119, a heat source side heat exchanger 116, an expansion valve 117, a blower 114, and a four-way valve 118. The load-side unit 103 includes a load-side heat exchanger 115, a blower 113, a wind direction adjusting unit 105, and a control device 130.

The wind direction adjusting unit 105 has a first flap 4 and a second flap 5 for adjusting the blowing direction of the air blown out from the load side unit 103. The load side unit 103 is provided with an environment detection unit 120. The environment detection unit 120 detects a room temperature sensor 121 that detects the temperature of the indoor air, a humidity sensor 122 that detects the humidity of the indoor air, and a temperature that detects the temperature Tb of the air blown into the room from the load side unit 103. It has a sensor 123. Further, the load side unit 103 is provided with an infrared sensor 140 that detects the temperature distribution in the indoor space. The infrared sensor 140 functions as the person detecting means 30 shown in FIG.

The compressor 119, the heat source side heat exchanger 116, the expansion valve 117, and the load side heat exchanger 115 are connected by a refrigerant pipe 110 to form a refrigerant circuit 102 in which the refrigerant circulates. The compressor 119, the expansion valve 117, the blower 114, the four-way valve 118, and the wind direction adjusting unit 105 are communicated with the control device 130. The environment detection unit 120 and the infrared sensor 140 are communicated with the control device 130.

The compressor 119 compresses and discharges the refrigerant to be sucked. The compressor 119 is, for example, an inverter type compressor whose capacity can be changed. The four-way valve 118 changes the flow direction of the refrigerant flowing through the refrigerant circuit 102. The expansion valve 117 depressurizes the refrigerant and expands it. The expansion valve 117 is, for example, an electronic expansion valve. The heat source side heat exchanger 116 is a heat exchanger that exchanges heat between the refrigerant and the outside air. The load side heat exchanger 115 is a heat exchanger that exchanges heat between the refrigerant and the air in the room. The heat source side heat exchanger 116 and the load side heat exchanger 115 are, for example, fin tube type heat exchangers.

A heat pump is formed by circulating the refrigerant in the refrigerant circuit 102 while repeating compression and expansion. The load side unit 103 adjusts the air in the room by performing operations such as cooling, heating, dehumidifying, humidifying, moisturizing, and blowing air. FIG. 2 shows a case where the control device 130 is provided in the load side unit 103, but the installation position of the control device 130 is not limited to the load side unit 103. The control device 130 may be provided in the heat source side unit 104, or may be provided at a position other than both the load side unit 103 and the heat source side unit 104. Further, a temperature sensor (not shown) for detecting the condensation temperature and the evaporation temperature may be provided in the air conditioner 10.

FIG. 3 is a side schematic view showing a configuration example of the load side unit shown in FIG. The load side unit 103 is embedded in the ceiling 70. When the blower 113 rotates, an air flow in which air flows in the direction indicated by the broken line arrow is formed in the load side unit 103, and the air is blown into the room through the air outlet 6. The air outlet 6 is provided with a first flap 4 and a second flap 5. The second flap 5 has a front blade 5a and a rear blade 5b.

FIG. 4 is a schematic diagram showing the relationship between the angle of the first flap shown in FIG. 3 and the air blowing direction. As shown in FIG. 4, the first flap 4 has blades 4a to 4d. In FIG. 4, for the sake of explanation, the blades 4a to 4d that are seen through when the load side unit 103 is viewed from above are shown. The angles of the blades 4a to 4d of the first flap 4 are represented by θh, and the front direction (opposite direction of the X-axis arrow) of the load side unit 103 is defined as the horizontal reference θh0 = 0 °. In FIG. 4, the air blowing direction ad1 at the horizontal angle θh1 is indicated by a broken line arrow, and the air blowing direction ad2 at a horizontal angle θh2 is indicated by a solid arrow.

FIG. 5 is a schematic diagram showing the relationship between the angle of the second flap shown in FIG. 3 and the air blowing direction. In FIG. 5, for the sake of explanation, of the second flap 5 shown in FIG. 3, the front blade 5a is shown in an enlarged manner, and the rear blade 5b is omitted. The downward direction (opposite direction of the Z-axis arrow) of the load side unit 103 is represented by the vertical reference VAX, and the angle of the front blade 5a is represented by θv. In FIG. 5, the air blowing direction ad3 at the vertical angle θv1 is indicated by a solid arrow, and the air blowing direction ad4 at a vertical angle θv2 is indicated by a broken arrow.

In the first embodiment, the case where the load side unit 103 is a ceiling-embedded type has been described. , Other types may be used. Further, the configuration of the load side unit 103 shown in FIG. 3 is an example, and is not limited to the configuration shown in FIG. The arrangement of the load side heat exchanger 115 and the blower 113 is not limited to the configuration shown in FIG.

Further, the configuration for adjusting the blowing direction of the air blown out from the load side unit 103 is not limited to the wind direction adjusting unit 105 described with reference to FIGS. 3 to 5. The wind direction adjusting unit 105 has two types of vanes, a first flap 4 for adjusting the horizontal angle and a second flap 5 for adjusting the vertical angle. Of these, a configuration in which one type of vane that can adjust the angle in any direction may be provided. Further, the means for adjusting the blowing direction of the air blown out from the load side unit 103 is not limited to the means such as the wind direction adjusting unit 105, but may be a means for changing the direction of the air outlet itself. For example, a means for changing the vertical and horizontal angles of the air outlet can be considered.

FIG. 6 is a diagram showing an example of the vertical range of the temperature distribution detected by the infrared sensor shown in FIG. Similar to FIG. 5, the angle in the vertical direction with respect to the vertical reference Vax is defined as θv. FIG. 7 is a diagram showing an example of the horizontal range of the temperature distribution detected by the infrared sensor shown in FIG. Similar to FIG. 4, the horizontal angle with respect to the horizontal reference θh0 is defined as θh. As shown in FIGS. 6 and 7, the infrared sensor 140 has a fixed range of an angle θv in the vertical direction and a horizontal direction with respect to the direction of the wall on which the load side unit 103 faces (the direction opposite to the Y-axis arrow). The temperature distribution in the room is measured within a certain range of the angle θh.

FIG. 8 is an image diagram showing an example when the temperature distribution detected by the infrared sensor shown in FIG. 2 is displayed on a two-dimensional image. For illustration purposes, the boundaries between each of the walls, floors and ceilings and the other parts are shown by broken lines in FIG. In general, since the thermal conductivity of each material of the wall, floor, and ceiling is different, the temperature of the wall, floor, and ceiling is different from each other in the two-dimensional image showing the temperature distribution, and each boundary can be detected. ..

In the image Img shown in FIG. 8, it is shown that the higher the density of the pattern, the higher the temperature. Since warm air tends to stay closer to the ceiling than the floor FL, the pattern density is higher on the ceiling side than on the floor FL. Since the temperature of the floor FL is low, the pattern is not displayed. With reference to the image Img shown in FIG. 8, it can be seen that when there is a person in the room, the position of the human body can be detected because the surface temperature of the human body is different from the temperature of the floor FL and the wall. The image Img in FIG. 8 shows the case where the positions of the user MA and the user MB in the room are detected. In addition, the amount of activity of each user can be estimated by comparing the densities of the patterns indicating the surface temperatures of the user MA and the user MB. In the image Img shown in FIG. 8, since the pattern of the user MB has a higher density than the pattern of the user MA, it can be inferred that the activity amount of the user MB is larger than the activity amount of the user MA.

FIG. 9 is a functional block diagram showing a configuration example of the control device shown in FIG. The control device 130 is, for example, a microcomputer. The control device 130 includes a refrigeration cycle control means 131 and a communication means 132. Various functions of the control device 130 are realized by executing software by an arithmetic unit such as a microcomputer. Further, the control device 130 may be composed of hardware such as a circuit device that realizes various functions.

The refrigeration cycle control means 131 controls the four-way valve 118 in response to operations such as cooling, heating, dehumidification, humidification, moisturization, and ventilation of the load side unit 103. The refrigeration cycle control means 131 controls the refrigeration cycle of the refrigerant circuit 102 based on the room temperature and the set temperature, and the humidity and the set humidity. For example, the refrigeration cycle control means 131 opens the operating frequency of the compressor 119 and the expansion valve 117 so that the room temperature matches the set temperature in a certain range and the indoor humidity matches the set humidity in a certain range. The degree and the rotation speed of the

blowers

113 and 114 are controlled. The wind speed W of the airflow generated by the blower 113 can be selected, for example, in three stages of large, medium, and small. The set temperature and set humidity are set by the user in the control device 130 via a remote controller (not shown).

Further, the refrigeration cycle control means 131 transmits environmental information including the room temperature detected by the room temperature sensor 121 and the humidity detected by the humidity sensor 122 to the communication means 132. The refrigeration cycle control means 131 transmits operation information including the frequency of the compressor 119, the condensation temperature, the evaporation temperature, and the opening degree of the expansion valve 117 to the communication means 132. The operation information includes airflow information including the temperature Tb detected by the temperature sensor 123, the horizontal angle θh of the first flap 4, the vertical angle θv of the second flap 5, and the wind speed W. May be good.

Further, the refrigeration cycle control means 131 analyzes a two-dimensional image of the temperature distribution detected by the infrared sensor 140, and combines the position information indicating the position of the user in the room and the temperature data which is the data of the surface temperature of the user. The user information is transmitted to the communication means 132. The position information is information indicating a position represented by an angle θh in the horizontal direction and an angle θv in the vertical direction with reference to the load side unit 103. When there are a plurality of users in the room, the refrigeration cycle control means 131 transmits the plurality of user information to the communication means 132. The refrigeration cycle control means 131 may transmit the data of the two-dimensional image of the temperature distribution detected by the infrared sensor 140 to the communication means 132 instead of the plurality of user information.

Further, when the refrigerating cycle control means 131 receives the information of the air conditioning control pattern from the communication means 132, the refrigerating cycle control means 131 controls the wind direction adjusting unit 105 and the blower 113 according to the air conditioning control pattern. Specifically, the refrigeration cycle control means 131 adjusts the blowout temperature, the wind speed, and the wind direction in accordance with the air conditioning control pattern.

The air conditioning control pattern is, for example, blown out from the temperature Tb, which is the detected value of the temperature sensor 123, the horizontal angle θh of the first flap 4, the vertical angle θv of the second flap 5, and the load side unit 103. It is a combination of four control parameters with the wind speed W of the air. The plurality of air conditioning control patterns are patterns in which at least one of these four control parameters is combined so as to be different from each other. Specific examples of the plurality of air conditioning control patterns will be described later.

The communication means 132 transmits the environment information, the operation information, and the user information received from the refrigeration cycle control means 131 to the information processing device 2. When the communication means 132 receives the two-dimensional image data showing the temperature distribution from the refrigeration cycle control means 131, the communication means 132 transmits the two-dimensional image data to the information processing device 2. When the communication means 132 receives the air conditioning control pattern information from the information processing device 2, the communication means 132 transmits the received air conditioning control pattern information to the refrigeration cycle control means 131. The communication means 132 transmits / receives information to / from the information processing device 2 according to, for example, TCP / IP (Transmission Control Protocol / Internet Protocol).

Here, an example of the hardware of the control device 130 shown in FIG. 9 will be described. FIG. 10 is a hardware configuration diagram showing a configuration example of the control device shown in FIG. When various functions of the control device 130 are executed by hardware, the control device 130 shown in FIG. 9 is composed of a processing circuit 80 as shown in FIG. Each function of the refrigeration cycle control means 131 and the communication means 132 shown in FIG. 9 is realized by the processing circuit 80.

When each function is executed by hardware, the processing circuit 80 may be, for example, a single circuit, a composite circuit, a programmed processor, a parallel programmed processor, an ASIC (Application Specific Integrated Circuit), or an FPGA (Field-Programmable Gate). It corresponds to Array) or a combination of these. Each of the functions of the refrigerating cycle control means 131 and the communication means 132 may be realized by the processing circuit 80. Further, the functions of the refrigerating cycle control means 131 and the communication means 132 may be realized by one processing circuit 80.

Further, an example of another hardware of the control device 130 shown in FIG. 9 will be described. FIG. 11 is a hardware configuration diagram showing another configuration example of the control device shown in FIG. When various functions of the control device 130 are executed by software, the control device 130 shown in FIG. 9 is composed of a processor 81 and a memory 82 as shown in FIG. Each function of the refrigeration cycle control means 131 and the communication means 132 is realized by the processor 81 and the memory 82. FIG. 11 shows that the processor 81 and the memory 82 are communicably connected to each other via the bus 83.

When each function is executed by software, the functions of the refrigeration cycle control means 131 and the communication means 132 are realized by software, firmware, or a combination of software and firmware. The software and firmware are written as a program and stored in the memory 82. The processor 81 realizes the functions of each means by reading and executing the program stored in the memory 82.

As the memory 82, for example, a non-volatile semiconductor memory such as a ROM (Read Only Memory), a flash memory, an EPROM (Erasable and Programmable ROM) and an EEPROM (Electrically Erasable and Programmable ROM) is used. Further, as the memory 82, a volatile semiconductor memory of RAM (Random Access Memory) may be used. Further, as the memory 82, a removable recording medium such as a magnetic disk, a flexible disk, an optical disk, a CD (Compact Disc), an MD (Mini Disc), and a DVD (Digital Versaille Disc) may be used.

Next, before explaining the configuration of the information processing device 2 shown in FIG. 1, the comfort index used by the information processing device 2 when determining the air conditioning control pattern of the air conditioning device 10 will be described. First, PMV, which is a kind of comfort index, will be described.

For humans, the sense of fatigue and ease of work during work is composed of physical environmental factors such as the thermal environment, visual environment, and sound environment surrounding the person. Thermal environments are, for example, temperature, humidity, airflow and radiation. The visual environment is, for example, illuminance. The sound environment is, for example, sound pressure. The complex environment, which is a combination of these environmental factors, affects the work fit and fatigue of the person working in the environment.

PMV is a value proposed by Professor Fanger of the Technical University of Denmark as an index for numerically evaluating the comfort level and feeling of warmth and coldness of a person in a thermal environment. PMV was internationally standardized as ISO-7730 in 1984. PMV is a combination of the heat load of the human body and the feeling of warmth and coldness of the human body. Specifically, PMV has a heat equilibrium equation for the human body based on the elements on the air environment side and the elements on the human body side, and the heat equilibrium equation determines the skin temperature and the amount of heat released by sweating when humans feel comfortable. It is calculated by substituting the formula of. The elements on the air environment side are not only the air temperature but also the radiation temperature, the radiation temperature, the humidity, the air flow, and the like. Factors on the human body side are factors such as the amount of human activity, the amount of clothing, and the average skin temperature.

The amount of activity is an example of human biological information, and is expressed in a unit called MET (Metabolic Equivalent), which indicates exercise intensity. Various movements are quantified using MET. For example, the exercise intensity when a person is watching TV while sitting at rest is defined as 1 MET.

In the first embodiment, the case where the comfort index is IPMV (Individual PMV), which is an individual comfort index, will be described. The IPMV value is a value based on PMV, but it is not the average value of the overall warm / cool sensation of the air-conditioned space, but identifies the position where a person is, and indicates the local warm / cool sensation which is the warm / cool sensation at the specified position. The value. Local warming sensation is sometimes referred to as local comfort.

Eight variables in the equation (1) will be described. M is the amount of metabolism [W / m ² ], and W is the amount of mechanical work [W / m ² ]. Ed is the amount of insensitive ^{evaporation [W / m 2} ], and Es is the amount of heat of vaporization of sweat from the skin surface [W / m ² ]. Ere is the amount of latent heat loss due to respiration [W / m ² ], and Cre is the amount of sensible heat loss due to respiration [W / m ² ]. R is the amount of radiant heat loss [W / m ² ], and C is the amount of convection heat loss [W / m ² ].

As shown in the formula (1), the IPMV is a numerical expression of a person's feeling of warmth and coldness according to temperature, humidity, radiation temperature, and the like. The range of IPMV is -3 to +3. It is neutral when IPMV = 0. When IPMV = 0, it is defined as comfortable. It is defined as hot when IPMV = 3, warm when IPMV value = 2, and slightly warm when IPMV = 1. When IPMV = -3, it is defined as cold, when IPMV = -2, it is defined as cool, and when IPMV = -1, it is defined as slightly cool. That is, it is defined that the closer the IPMV is to 0, the better the comfort of the person.

Next, the configuration of the information processing device 2 shown in FIG. 1 will be described. FIG. 12 is a functional block diagram showing a configuration example of the control device of the information processing device shown in FIG. The information processing device 2 is a storage device 21 that stores an IPMV database, and a control that obtains an optimum air conditioning control pattern based on the activity amount, position, and comfort index of a plurality of users in the room and provides the air conditioning device 10 to the air conditioning device 10. It has a device 22 and. The storage device 21 is, for example, an HDD (Hard Disk Drive). The control device 22 is, for example, a microcomputer. Various functions of the control device 22 are realized by executing software by an arithmetic circuit such as a microcomputer. The procedure shown in the flowchart (FIG. 18) described later is written in this software.

The control device 22 includes a data acquisition means 11, a model generation means 12, an activity amount determination means 13, a position determination means 14, an efficiency calculation means 15, and a control determination means 16. The storage device 21 stores a standard fluid three-dimensional model for generating an IPMV database. The storage device 21 stores the IPMV database generated by the model generation means 12. The IPMV database has a configuration in which a group including a comfort index distribution, which is a distribution of a user's comfort index in a room corresponding to each of a plurality of air conditioning control patterns of the air conditioner 10, is provided for each of a plurality of activity amounts. Is.

The data acquisition means 11 stores the environmental information, the operation information, and the user information received from the air conditioner 10 in the storage device 21 at regular intervals. The data acquisition means 11 stores information received from the air conditioner 10 in a time series in the storage device 21 at regular intervals, and monitors the operating state of the air conditioner 10. The model generation means 12 reads environmental information and operation information from the storage device 21, reflects the read information in a standard fluid three-dimensional model, and generates an IPMV database. The activity amount determining means 13 refers to the IPMV database and identifies a group corresponding to the activity amount detected by the infrared sensor 140 for each user.

The position determination means 14 extracts a plurality of comfort indexes corresponding to the positions detected by the infrared sensor 140 from a plurality of comfort index distributions in the group specified by the activity amount determination means 13 for each user. The efficiency calculation means 15 uses a plurality of comfort indexes extracted corresponding to the positions of each user to calculate a comfort efficiency ζ indicating the total comfort of a plurality of users for each of the plurality of air conditioning control patterns. .. The control determining means 16 obtains an air conditioning control pattern that maximizes the calculated comfort efficiency ζ among the plurality of air conditioning control patterns. The control determination means 16 transmits the obtained air conditioning control pattern to the air conditioner 10.

The control device 22 transmits an air conditioning control pattern for changing the wind direction, air volume, and the like to the air conditioner 10 so that the IPMV at the position where the user is located approaches neutrality. The control device 22 does not try to neutralize the PMV in the entire area of the room, but determines the air conditioning control pattern so that the IPMV at the position where the user is present approaches neutral, and controls the IPMV at the position where the user is not present. Do not include in pattern determinants. Among the means of the control device 22 shown in FIG. 12, the configurations of the model generating means 12 and the efficiency calculating means 15 will be described in detail.

The configuration of the model generation means 12 shown in FIG. 12 will be described. The values of the eight variables in the equation (1) can be derived from the six values of room temperature, wind speed, radiant temperature and humidity, and the amount of clothing and activity of the user. In IPMV, the room temperature, wind speed, and radiant temperature are values corresponding to the user's position. Therefore, here, the room temperature is defined as the local temperature, the wind speed is defined as the local wind speed, and the radiation temperature is defined as the local radiation temperature. The method by which the model generating means 12 obtains these six values will be described below.

As the local temperature, the model generation means 12 simulates the temperature distribution of the air conditioning target space corresponding to the air conditioning control pattern by using CFD (Computational Fluid Dynamics) which is an example of numerical fluid analysis, and a specific position from the temperature distribution. Estimate the temperature of. Humidity is detected by the humidity sensor 122. The model generation means 12 acquires humidity information from the operation information stored in the storage device 21. As the local wind speed, the model generating means 12 estimates the wind speed at a specific position from the wind speed of the entire air in the air-conditioned space in the analysis result by CFD. The local radiant temperature is assumed to be equivalent to room temperature. Therefore, the model generating means 12 acquires the detected value of the room temperature sensor 121 from the operation information stored in the storage device 21.

As the amount of clothing, the model generating means 12 estimates the clo value representing the thermal resistance of clothing using the data of the two-dimensional image received from the air conditioner 10. Specifically, the model generation means 12 estimates the skin temperature, the amount of skin exposure, and the surface temperature of clothing for each detected user from the data of the two-dimensional image. Then, the model generation means 12 refers to the claw value table in which the skin temperature, the amount of exposure of the skin, the surface temperature of the clothes, and the clo value are associated with each other, and acquires the clo value of each user. The storage device 21 stores the claw value table. As the amount of activity, the model generating means 12 estimates the MET of each user from the data of the two-dimensional image received from the air conditioner 10. For example, the storage device 21 stores in advance a MET table in which the infrared detection value of the two-dimensional image data and the MET are associated with each other. The model generation means 12 refers to the MET table and reads out the MET corresponding to the infrared detection value of each user.

The model generation means 12 uses CFD as a numerical fluid analysis to generate an IPMV database for each activity amount regardless of the position of a person in the air-conditioned space in response to a plurality of air-conditioning control patterns, and is a storage device. Store in 21.

FIG. 13 is a table showing an example of a combination describing the type of activity and the energy metabolism rate representing the amount of activity. The energy metabolism rate is calculated by the formula (2). Referring to FIG. 13, for example, the amount of activity of a sleeping person is 0.7 MET, and the amount of activity of a person sitting at rest is 1 MET.

Explain an example of CFD calculation processing by the model generation means 12. First, the model generation means 12 three-dimensionally models the air-conditioned space to be simulated by using a standard fluid three-dimensional model. Subsequently, the model generating means 12 divides the modeled air-conditioned space into, for example, a grid pattern. Then, the model generation means 12 determines the boundary condition for each rectangular region between the lattices based on the result of heat calculation corresponding to the pressure, temperature, velocity of the fluid, the heating element existing in the space, and the heat entering from the wall. Give the necessary initial conditions as. Further, the model generating means 12 analyzes the pressure, air volume, temperature, etc. in each rectangular region based on the boundary conditions such as the invading heat from the wall and the internal heat generation, using the determined turbulence model and the difference scheme. ..

In the first embodiment, the IPMV is calculated corresponding to each air conditioning control pattern of the plurality of air conditioning control patterns. The plurality of air conditioning control patterns include, for example, three patterns relating to the angle θh of the first flap 4, three patterns relating to the angle θv of the second flap 5, three patterns relating to the wind speed W, and three patterns relating to the temperature Tb. There are 81 ways depending on the combination of. That is, the first embodiment is a case where the air conditioning control patterns are 3 × 3 × 3 × 3 = 81.

The horizontal angle θh of the first flap 4 is three patterns of leftward (X-axis arrow direction in FIG. 4) 30 °, 0 °, and rightward (opposite direction of the X-axis arrow in FIG. 4) 30 °. The vertical angle θv of the second flap 5 is three patterns of θv = 20 °, 45 °, and 60 °. The wind speed W has three patterns of large, medium and small. The temperature Tb of the air blown out from the load-side unit 103 has three patterns of high, medium, and low.

The model generation means 12 performs CFD analysis on 81 air-conditioning control patterns for each activity amount such as 1MET and 2MET with respect to the entire air-conditioning target space regardless of the position of the air-conditioning target space, and IPMV in the air-conditioning target space. Generate an IPMV distribution, which is the distribution of. In the IPMV distribution, the space to be air-conditioned is divided into a plurality of rectangular regions by CFD analysis, and the IPMV is stored in the storage device 21 corresponding to each rectangular region. For example, the model generation means 12 generates 81 IPMV distributions for 1 MET activity to form one group, and 81 IPMV distributions for 2 MET activity to form another group. In this way, the model generation means 12 generates groups corresponding to each of the plurality of activity amounts, and stores the plurality of groups in the storage device 21 as an IPMV database. In the first embodiment, the case where the activity amount is changed at intervals of 1 MET, 2 MET, etc. will be described, but the interval of the activity amount is not limited to 1.0. The activity interval may be 0.1 or 0.5.

The efficiency calculation means 15 calculates the comfort efficiency ζ of each of the plurality of air conditioning control patterns using the equation (3) using the information on the position and activity amount of the user in the room.

In formula (3), k is an identification number that differs for each user, and K is the number of users in the room. In the first embodiment, K ≧ 2. The target value is that the personal comfort index IPMV is within ± 0.5, and when | IPMVk |> 0.5, | IPMVk | is 0.5.

Comfort efficiency ζ is a value for evaluating how close the feeling of warmth and coldness of a plurality of users is to neutrality (individual IPMV = 0). The comfort efficiency ζ is a value indicating the overall comfort level of a plurality of users in the room. It is considered that the higher the comfort efficiency ζ (up to 100%), the more the comfort of a plurality of users in the room can be satisfied. That is, the comfort efficiency ζ = 100% means that a plurality of users are comfortable, and the comfort efficiency ζ = 0% means that a plurality of users are uncomfortable. The control determining means 16 obtains an air conditioning control pattern having the maximum comfort efficiency ζ among the comfort efficiency ζ corresponding to 81 kinds of air conditioning control patterns.

An example of the hardware of the control device 22 shown in FIG. 12 will be described. FIG. 14 is a hardware configuration diagram showing a configuration example of the arithmetic unit shown in FIG. When various functions of the control device 22 are executed by software, the control device 22 shown in FIG. 12 is composed of a processor 91 such as a CPU (Central Processing Unit) and a memory 92, as shown in FIG. .. The functions of the data acquisition means 11, the model generation means 12, the activity amount determination means 13, the position determination means 14, the efficiency calculation means 15, and the control determination means 16 are realized by the processor 91 and the memory 92. FIG. 14 shows that the processor 91 and the memory 92 are communicably connected to each other via the bus 93. The processor 91 and the memory 92 are connected to the storage device 21 shown in FIG. 12 via the bus 93. The memory 92 serves as a primary storage device, and the storage device 21 serves as a secondary storage device.

When each function is executed by software, the functions of the data acquisition means 11, the model generation means 12, the activity amount determination means 13, the position determination means 14, the efficiency calculation means 15, and the control determination means 16 are software, firmware, or software. It is realized by the combination of and firmware. The software and firmware are written as a program and stored in the memory 92. The processor 91 realizes the function of each means by reading and executing the program stored in the memory 92. The memory 92 has, for example, the same configuration as the memory 82, and detailed description thereof will be omitted.

The model generating means 12 may learn the calculation method of the IPMV in advance by the neural network and estimate the IPMV of the air-conditioned space from the input conditions such as the building load, the area, and the user's preference.

Further, the temperature Tb of the air blown out from the load side unit 103 changes linearly according to the load of the building and the operating frequency of the compressor 119. Therefore, the model generating means 12 learns the optimum combination of the temperature Tb of the air blown from the load side unit 103, the angles θh and θv, and the wind speed W from the input conditions such as the building load, the area, and the user's preference. However, the number of air conditioning control patterns to be selected may be narrowed down by a neural network. In this case, since the control determination means 16 selects the optimum air conditioning control pattern from the narrowed number of air conditioning control patterns, the determination process of the air conditioning control pattern is smoothly performed. The user's preference is, for example, the tendency of the user to feel warm or cold.

Specifically, the storage device 21 stores the combination data in time series, which is a combination of the input condition including the heat load of the building in which the air conditioner 10 is installed and the air conditioning control pattern that maximizes the comfort efficiency ζ. do. Then, the control determination means 16 narrows down the number of air conditioning control patterns to be selected from the plurality of air conditioning control patterns based on the plurality of combination data stored in time series. In this case, the input conditions include, in addition to the heat load of the building, the weather data of the area where the air conditioner 10 is installed, the amount of solar radiation of the building, and the information indicating the tendency of the feeling of warmth and coldness of a plurality of users. May include.

Further, the model generation means 12 may update the IPMV distribution of the IPMV database as follows. The model generating means 12 estimates the refrigerating capacity of the air conditioner 10 from the operation information including the frequency of the compressor 119, the condensation temperature, the evaporation temperature, and the opening degree of the expansion valve 117. Then, the model generating means 12 stores the estimated refrigerating capacity and the airflow state estimated from the temperature Tb, the horizontal angle θh, the vertical angle θv, and the wind speed W for each of the plurality of activity amounts. It is reflected in each IPMV distribution of the group. In this case, the IPMV database is updated to the latest state according to the change in the operating state of the air conditioner 10.

Next, the control method by the information processing device 2 of the first embodiment will be described. FIG. 15 is a layout diagram showing an example of an air-conditioned space in which the air conditioner shown in FIG. 1 is air-conditioned. FIG. 15 shows the positions of furniture placed in the room and the positions of two users in the room. Here, as shown in FIG. 15, a case where two users, a user MA and a user MB, are in the room will be described. The vertical axis of FIG. 15 is the Y-axis coordinate, and the horizontal axis is the X-axis coordinate. FIG. 16 is a table showing an example of the activity amount and position of each user. The activity amount of the user MA is 1 MET, and the activity amount of the user MB is 2 MET.

FIG. 17 is a schematic diagram showing an operation procedure of the information processing apparatus according to the first embodiment. n in nMET is a positive integer greater than or equal to 2. FIG. 18 is a flowchart showing an operation procedure of the information processing apparatus according to the first embodiment. In step S101, the data acquisition means 11 acquires environmental information from the air conditioner 10. The data acquisition means 11 stores the acquired environmental information in the storage device 21.

In step S102, the data acquisition means 11 acquires operation information from the air conditioner 10. The data acquisition means 11 stores the acquired operation information in the storage device 21. The operation information includes the frequency of the compressor 119, the condensation temperature, the evaporation temperature, and the opening degree of the expansion valve 117. Further, the operation information includes airflow information including the temperature Tb detected by the temperature sensor 123, the horizontal angle θh of the first flap 4, the vertical angle θv of the second flap 5, and the wind speed W. I'm out.

In step S101 or S102, the data acquisition means 11 acquires the two-dimensional image data detected by the infrared sensor 140 from the air conditioner 10 and stores it in the storage device 21 as user information. The model generation means 12 generates an IPMV database using the information stored in the storage device 21. The model generation means 12 stores the generated IPMV database in the storage device 21. FIG. 17 shows an IPMV database in which 81 IPMV distributions are provided for each activity amount.

In step S103, the activity amount determining means 13 refers to the two-dimensional image data stored in the storage device 21 and acquires the activity amount information of each user. Here, the activity amount determining means 13 estimates the activity amount of the user MA as 1 MET and the activity amount of the user MB as 2 MET.

In step S104, the position determination means 14 refers to the two-dimensional image data stored in the storage device 21 to acquire the position information of each user. Here, the position determining means 14 determines the position of the user MA as the coordinates (2, 7) and determines the position of the user MB as the coordinates (7, 9).

In step S105, the efficiency calculation means 15 reads out the 1MET group and the 2MET group from the IPMV database from the estimation result of the activity amount determination means 13. Subsequently, the efficiency calculating means 15 reads out 81 IPMVs located at the coordinates (2,7) of the group of 1MET from the determination result of the position determining means 14. Further, the efficiency calculating means 15 reads out 81 IPMVs located at the coordinates (7, 9) of the 2MET group from the determination result of the position determining means 14. At that time, the efficiency calculation means 15 reads out the IPMV at a predetermined height (for example, 1.3 m above the floor) of the air-conditioned space in each IPMV distribution. Then, the efficiency calculation means 15 substitutes 81 IPMVs of the user MA and 81 IPMVs of the user MB into the equation (3) to calculate 81 different comfort efficiencies ζ (step S106).

In step S107, the control determining means 16 determines the air conditioning control pattern having the largest comfort efficiency ζ among the 81 air conditioning control patterns. At that time, the selection condition of the air conditioning control pattern may include not only the condition that the comfort efficiency ζ is the maximum but also the condition that the IPMV of each user is within ± 0.5.

In step S108, the control determination means 16 transmits the information of the air conditioning control pattern determined in step S107 to the air conditioner 10. When the control device 130 of the air conditioner 10 receives the information of the air conditioning control pattern from the information processing device 2, it controls at least one of the compressor 119, the blower 113, and the wind direction adjusting unit 105 according to the air conditioning control pattern. .. For example, when changing the temperature at which air is blown out from the load-side unit 103, the refrigeration cycle control means 131 changes the operating frequency of the compressor 119. When the wind speed W is changed, the refrigeration cycle control means 131 changes the rotation speed of the blower 113. When changing the angle θh, the refrigeration cycle control means 131 changes the angle θh of the first flap 4. When changing the angle θv, the refrigeration cycle control means 131 changes the angle θv of the second flap 5.

In step S109, the data acquisition means 11 determines whether or not a certain time has elapsed. If a certain period of time does not elapse, the control device 22 goes into a standby state. As a result of the determination in step S109, when a certain time has elapsed, the control device 22 returns to the process of step S101.

FIG. 19 is a table showing an example of the calculation result of comfort efficiency. FIG. 19 shows the IPMV when the activity amount is 1 MET, the IPMV when the activity amount is 2 MET, and the comfort efficiency ζ corresponding to each air conditioning control pattern. The numbers in the left column of the table shown in FIG. 19 are identification numbers of the air conditioning control pattern. With reference to the table shown in FIG. 19, it can be seen that the air conditioning control pattern that maximizes the comfort efficiency ζ is the air conditioning control pattern No. 16.

FIG. 20 is an image diagram showing an example of the IPMV distribution in the case of the air conditioning control pattern determined in step S107. FIG. 20 shows the IPMV distribution when the activity amount is 1 MET in the 16th air conditioning control pattern. FIG. 21 is an image diagram showing another example of the IPMV distribution in the case of the air conditioning control pattern determined in step S107. FIG. 21 shows the IPMV distribution when the activity amount is 2MET in the 16th air conditioning control pattern.

As shown in FIGS. 20 and 21, in the air conditioning control pattern of No. 16, the IPMV of the user MA having an activity amount of 1 MET and the IPMV of the user MB having an activity amount of 2 MET are visualized. 20 and 21 show that the higher the pattern density is, the more the IPMV is on the negative side than the neutral value, and the smaller the pattern density is, the more the IPMV is on the negative side than the neutral value. In FIG. 20, the IPMV at the position of the user MA is close to 0. In FIG. 21, the IPMV is a value larger than 0 in a wide range of the room, but the peripheral IPMV centered on the coordinates (7, 7) close to the position of the user MB is a value close to 0. You can see that there is. This is because the control is performed so that air is blown out from the load side unit 103 in the direction of the coordinates (7, 7), and the value of IPMV is lowered. In this way, the IPMV can be quickly reached and stabilized in the comfort zone so that the IPMVs of the plurality of users of the user MA and the user MB are close to neutral.

Although the case of returning to step S101 after a certain period of time has elapsed in step S109 has been described with reference to the flowchart shown in FIG. 18, the process may return to step S103. In this case, in step S103, the data acquisition means 11 acquires the data of the two-dimensional image detected by the infrared sensor 140 from the air conditioner 10 as user information. If the IPMV database built in the storage device 21 is suitable for the air conditioner 10 and the air-conditioned space, it does not need to be updated frequently. In this case, the load of arithmetic processing of the model generation means 12 is reduced.

Further, in step S109, the activity amount determining means 13 and the position determining means 14 may monitor the data of the two-dimensional image detected by the infrared sensor 140 from the air conditioner 10. If the activity amount determining means 13 determines that the user's activity amount is not constant within a certain period of time, or if the position determining means 14 cannot determine the presence or absence of the user in the room, one or both of them, the load side unit. The wind direction of the air blown from 103 may be changed. Specifically, the control determining means 16 controls to perform a swing operation in which one or both of the horizontal angle of the first flap 4 and the vertical angle of the second flap 5 are changed at regular intervals. Information is transmitted to the air conditioner 10. For example, the swing operation of the first flap 4 is an operation in which the first flap 4 swings left and right with a cycle of 20 seconds with respect to the horizontal reference θh0. In this case, the environmental information and the operation information received by the information processing device 2 from the air conditioner 10 change, and the control device 22 can easily recognize the activity amount and the position of the user.

Further, in the first embodiment, when the control determining means determines the air conditioning control pattern in step S107 shown in FIG. 18, the efficiency calculating means 15 uses the equation (3) to determine the comfort efficiency ζ of each air conditioning control pattern. However, it is not limited to this evaluation method. The efficiency calculation means 15 may use TOPSIS (Technique for Order of Preferences by Similarity to Ideal Solution) to obtain an air conditioning control pattern that maximizes the overall comfort of a plurality of users. In the first embodiment, since the evaluation method using the equation (3) requires less calculation than TOPSIS, the load of arithmetic processing of the control device 22 is reduced.

The air conditioning system 1 of the first embodiment includes an air conditioning device 10, a person detecting means 30 for detecting an activity amount for each of a plurality of users and a position for each of a plurality of users, a storage device 21, and a control device 22. Has. The storage device 21 stores a group including a comfort index distribution, which is a distribution of the user's comfort index in the air-conditioned space corresponding to each of the plurality of air-conditioning control patterns of the air-conditioning device 10, for each of the plurality of activity amounts. do. The control device 22 includes an activity amount determination unit 13, a position determination unit 14, an efficiency calculation unit 15, and a control determination unit 16. The activity amount determining means 13 identifies a group corresponding to the activity amount detected by the person detecting means 30 for each user. The position determining means 14 extracts a plurality of comfort indexes corresponding to the positions detected by the person detecting means 30 from the plurality of comfort index distributions in the specified group. The efficiency calculation means 15 uses a plurality of comfort indexes extracted corresponding to the positions of each user to calculate a comfort efficiency ζ indicating the total comfort of a plurality of users for each of the plurality of air conditioning control patterns. .. The control determining means 16 obtains an air conditioning control pattern that maximizes the calculated comfort efficiency ζ among the plurality of air conditioning control patterns.

According to the first embodiment, a group including a comfort index distribution in the air-conditioned space corresponding to each of the plurality of air-conditioned control patterns is obtained according to the activity amount of each user in the air-conditioned space. In addition, a plurality of comfort indexes are extracted from a plurality of comfort index distributions in the group according to the position of each user in the air-conditioned space. Then, based on the plurality of comfort indexes of each user, the air conditioning control pattern that maximizes the comfort efficiency of the plurality of users is obtained from the plurality of air conditioning control patterns. By performing air conditioning by the air conditioner according to the air conditioning control pattern that maximizes the comfort efficiency of the plurality of users, it is possible to improve the comfort for the plurality of users.

Although the case where the infrared sensor 140 functions as the person detecting means 20 has been described in the above-described first embodiment, the person detecting means 20 is not limited to the infrared sensor 140. For example, the activity amount detecting means 32 may be a wearable sensor. The case where the activity amount detecting means 32 is a wearable sensor will be described below.

(Modification example 1)
FIG. 22 is a diagram showing a configuration example of the air conditioning system of the modified example 1. In the configuration shown in FIG. 22, the same reference numerals are given to the same configurations as those described with reference to FIG. 1, and detailed description thereof will be omitted in the present modification 1.

The air conditioning system 1a includes an air conditioning device 10 having a position detecting means 31, an information processing device 2, an access point (AP) 60, and a wearable terminal 40 provided for each user. The AP60 is provided in a room which is an air-conditioned space of the air conditioner 10. The AP60 has a short-range wireless communication means (not shown) such as Bluetooth (registered trademark) and a network communication means (not shown) corresponding to the communication protocol of the network 50. The communication protocol is, for example, TCP / IP. The position detecting means 31 is, for example, the infrared sensor 140 shown in FIG.

The wearable terminal 40 is provided for each user. The wearable terminal 40 is, for example, in the form of a wristwatch or bracelet. The wearable terminal 40 has an activity amount detecting means 32 that detects a pulse as an activity amount of the user at a fixed cycle. The amount of activity may be the skin temperature of the user. Further, the wearable terminal 40 has a memory (not shown) for storing a terminal identifier and a program, which are different identifiers for each terminal, and a CPU (not shown) for executing processing according to the program.

When the activity amount detecting means 32 detects the activity amount of the user, the CPU (not shown) of the wearable terminal 40 sends the user information including the activity amount information and the terminal identifier to the information processing device 2 via the AP 60 and the network 50. Send. The memory (not shown) of the wearable terminal 40 may store the coordinates of the installation position of the AP60. The CPU (not shown) of the wearable terminal 40 refers to the strength of the radio wave with the AP60 and estimates the distance from the installation position of the AP60. Then, the CPU (not shown) of the wearable terminal 40 includes the estimated position information in the user information as the user's position information. For example, when a plurality of AP60s are installed indoors, the CPU of the wearable terminal 40 (not shown) estimates the position of the user in the room more accurately by comparing the strengths of the radio waves of the plurality of AP60s. can do. The information processing device 2 associates the user information received from the wearable terminal 40 with the position of the user detected by the position detecting means 31.

Also in the present modification 1, the information processing apparatus 2 can determine the optimum air conditioning control pattern from the plurality of air conditioning control patterns according to the procedure shown in FIG. In the case of the first modification, the wearable terminal 40 worn for each user detects the activity amount of the user, so that the activity amount is detected more accurately. As a result, it is possible to perform air conditioning more suitable for each activity amount of the plurality of users.

1, 1a air conditioning system, 2 information processing device, 4 first flap, 4a-4d blades, 5 second flap, 5a front blade, 5b rear blade, 6 outlet, 10 air conditioner, 11 data acquisition means, 12 Model generation means, 13 activity amount determination means, 14 position determination means, 15 efficiency calculation means, 16 control determination means, 20 person detection means, 21 storage device, 22 control device, 30 person detection means, 31 position detection means, 32 activity. Quantity detection means, 40 wearable terminals, 50 networks, 60 access points, 70 ceilings, 80 processing circuits, 81 processors, 82 memories, 83 buses, 91 processors, 92 memories, 93 buses, 102 refrigerant circuits, 103 load side units, 104 Heat source side unit, 105 wind direction adjustment unit, 110 refrigerant pipe, 113 blower, 114 blower, 115 load side heat exchanger, 116 heat source side heat exchanger, 117 expansion valve, 118 four-way valve, 119 compressor, 120 environment detector, 121 room temperature sensor, 122 humidity sensor, 123 temperature sensor, 130 control device, 131 refrigeration cycle control means, 132 communication means, 140 infrared sensor, FL floor surface.

Claims

An air conditioner that harmonizes the air-conditioned space,
For a plurality of users in the air-conditioned space, a person detecting means for detecting the activity amount of each user and the position of each user in the air-conditioned space.
A group including a comfort index distribution, which is a distribution of comfort indexes indicating the user's comfort level in the air-conditioned space corresponding to each of the plurality of air-conditioning control patterns of the air conditioner, is stored for each of the plurality of activity amounts. Storage device and
For each user, the group corresponding to the amount of activity detected by the person detecting means is specified, and the position detected by the person detecting means corresponds to the position detected by the person detecting means from the plurality of comfort index distributions in the specified group. A plurality of the comfort indexes are extracted, and the plurality of comfort indexes extracted corresponding to the positions of the respective users are used to obtain the total comfort level of the plurality of users for each of the plurality of air conditioning control patterns. A control device that calculates the comfort efficiency indicating the above and obtains the air conditioning control pattern that maximizes the calculated comfort efficiency among the plurality of air conditioning control patterns.
Air conditioning system with.
The person detecting means is an infrared sensor.
The air conditioning system according to claim 1.
The person detecting means
A wearable terminal provided for each user and detecting the amount of activity of each user,
It has an infrared sensor that detects the position of each user in the air-conditioned space.
The air conditioning system according to claim 1 or 2.
A method of controlling an air conditioner by a control device connected to each of a person detecting means and a storage device for detecting the activity amount of each user and the position of each user in the air-conditioned space for a plurality of users in the air-conditioned space. And
A group including a comfort index distribution, which is a distribution of comfort indexes indicating the user's comfort level in the air-conditioned space corresponding to each of the plurality of air-conditioning control patterns of the air conditioner, is stored for each of the plurality of activity amounts. Steps to be stored in the device and
For each of the users, a step of identifying the group corresponding to the amount of activity detected by the person detecting means, and
For each of the users, a step of extracting a plurality of the comfort indexes corresponding to the positions detected by the person detecting means from the plurality of comfort index distributions in the specified group, and a step of extracting the plurality of comfort indexes.
Using the plurality of comfort indexes extracted corresponding to the positions of the respective users, a step of calculating the comfort efficiency indicating the total comfort of the plurality of users for each of the plurality of air conditioning control patterns, and a step of calculating the comfort efficiency.
Among the plurality of air conditioning control patterns, a step of obtaining the calculated air conditioning control pattern that maximizes the comfort efficiency, and
A method of controlling an air conditioner having.
Assuming that the identification number different for each of the plurality of users is k, the comfort index of the user with the identification number k is IPMVk, K is an integer of 2 or more, and the comfort efficiency is ζ, then each of the plurality of air conditioning control patterns The comfort efficiency ζ of
ζ = (1-2 | IPMV 1 |) × (1-2 | IPMV 2 |) × ・・・ × (1-2 | IPMV k |) × ・・・ (1-2 | IPMV K |) × 100 %
Calculated by the formula of
The control method for an air conditioner according to claim 4.
The plurality of air conditioning control patterns include the temperature of the air blown from the load-side unit provided in the air conditioner, the horizontal angle of the air blown from the load-side unit, and the blow-out from the load-side unit. It is a pattern in which at least one of the four control parameters of the vertical angle of the air to be generated and the wind speed of the air blown from the load-side unit are combined so as to be different from each other.
The method for controlling an air conditioner according to claim 4 or 5.
The control device is
The combination data, which is a combination of the input condition including the heat load of the building in which the air conditioner is installed and the air conditioning control pattern that maximizes the comfort efficiency of the plurality of users, is stored in time series, and the time series is stored. The number of air conditioning control patterns to be selected from the plurality of air conditioning control patterns is narrowed down based on the plurality of combination data stored in.
The control method for an air conditioner according to claim 6.
The input conditions indicate, in addition to the heat load of the building, the weather data of the area where the air conditioner is installed and the area, the amount of solar radiation of the building, and the tendency of the feeling of warmth and coldness of the plurality of users. Including information,
The control method for an air conditioner according to claim 7.
The control device is
Operation information including the frequency of the compressor, the condensation temperature, the evaporation temperature, and the opening degree of the expansion valve is received from the air conditioner, and the refrigerating capacity of the air conditioner is estimated from the received operation information, and the estimated refrigeration is performed. Each comfort index of the plurality of groups in which the capacity and the air temperature, the horizontal angle, the vertical angle, and the air flow state estimated from the wind speed are stored for each of the plurality of activity amounts. Reflect in the distribution,
The control method for an air conditioner according to any one of claims 6 to 8.
In the comfort index distribution, the air-conditioned space is divided into a plurality of regions, and the value of the comfort index is stored in the storage device corresponding to each region.
The control method for an air conditioner according to any one of claims 4 to 9.
The control device is
When the amount of activity detected by the person detecting means is not constant at a predetermined fixed time and when it is not possible to determine the presence or absence of a user in the air-conditioned space, one or both of them, the air conditioner. On the other hand, a swing operation is performed in which one or both angles of the horizontal direction and the vertical direction of the air blowing direction are changed at regular intervals.
The control method for an air conditioner according to any one of claims 4 to 10.