Thermal insulation performance evaluation system, thermal insulation performance evaluation method

Abstract

The objective is to provide a thermal insulation performance evaluation system and thermal insulation performance evaluation method that can evaluate the thermal insulation performance of a room or house. [Solution] A thermal insulation performance evaluation system including an air conditioner and a server device connected to the air conditioner via a network, the system having a control unit for evaluating the thermal insulation performance of a room or house in which the air conditioner is installed, the control unit collects air conditioner data from the air conditioner, including the output values ​​of sensors and operating data of the air conditioner, generates first information regarding the thermal insulation performance of the room or house using the air conditioner data, and compares the first information with index information that serves as an index for evaluating the thermal insulation performance.

Description

Technical Field

[0001] The present disclosure relates to a heat insulation performance evaluation system and a heat insulation performance evaluation method.

Background Art

[0002] Conventionally, it has been disclosed to collect sensor information of an air conditioner, process the information to identify the heat insulation performance, and output a heat insulation performance evaluation index based on the identified performance value. [[ID=?]]

Prior Art Documents

Patent Documents

[0003]

Patent Document 1

Summary of the Invention

Problems to be Solved by the Invention

[0004] In the above-described conventional technology, for example, it is difficult for a user of an air conditioner installed in a room or a house such as a residence to grasp or evaluate the heat insulation performance of the room or the house in which the user lives.

[0005] An object of the present disclosure is to provide a heat insulation performance evaluation system and a heat insulation performance evaluation method for evaluating the heat insulation performance of a room or a house.

Means for Solving the Problems

[0006] A heat insulation performance evaluation system according to a first aspect of the present disclosure is a heat insulation performance evaluation system including an air conditioner and a server device connected to the air conditioner via a network, having a control unit for evaluating the heat insulation performance of a room or a house in which the air conditioner is installed, wherein the control unit [[ID=5?]] collects air conditioner data including output values of sensors and operation data of the air conditioner from the air conditioner, It should be noted that there are some question marks in the translation where the original text seems to have some inconsistent or unclear tags. You may want to double-check the original text for accuracy.Using the aforementioned air conditioning data, first information regarding the thermal insulation performance of the room or house is generated. This is a thermal insulation performance evaluation system that compares the aforementioned first information with index information that serves as an indicator for evaluating thermal insulation performance.

[0007] According to the first aspect of this disclosure, the thermal insulation performance of a house can be evaluated.

[0008] A second aspect of this disclosure is the thermal insulation performance evaluation system described in the first aspect, The aforementioned first information and the indicator information are, This is a thermal insulation performance evaluation system, which is information generated based on the rated capacity of the air conditioner or the size of the room or house in which the air conditioner is installed.

[0009] According to the second aspect of this disclosure, the indicator information can be made independent of the air conditioners installed in the house, the size of the house, etc.

[0010] A third aspect of this disclosure is a thermal insulation performance evaluation system described in the first or second aspect, The aforementioned indicator information is, This is a thermal insulation performance evaluation system, which is information generated based on air conditioning data collected via the network from air conditioning units installed in multiple other rooms or houses located in the same area as the aforementioned room or house, but separate from the aforementioned room or house.

[0011] According to a third aspect of this disclosure, the first information of the room or house being evaluated can be evaluated relative to the first information of other rooms or houses in the same area.

[0012] A fourth aspect of this disclosure is a thermal insulation performance evaluation system described in any one of the first to third aspects, The aforementioned indicator information is standard information predetermined for each region. The control unit, This is a thermal insulation performance evaluation system that compares the aforementioned first information with the aforementioned standard information.

[0013] According to a fourth aspect of the present disclosure, the first information of the house to be evaluated can be compared with a reference value determined in advance for each region.

[0014] A fifth aspect of the present disclosure is the heat insulation performance evaluation system according to any one of the first to fourth aspects, where the air conditioner data is a heat insulation performance evaluation system including at least one of indoor temperature, outdoor temperature, indoor humidity, heat exchanger temperature, and the rotation speed of the indoor fan.

[0015] A sixth aspect of the present disclosure is the heat insulation performance evaluation system according to any one of the first to fifth aspects, where the control unit is a heat insulation performance evaluation system that outputs comparison result information indicating the result of comparing the first information with the index information that is an index for evaluating the heat insulation performance.

[0016] According to a sixth aspect of the present disclosure, the heat insulation performance of a room or a house can be grasped.

[0017] A seventh aspect of the present disclosure is the heat insulation performance evaluation system according to any one of the first to sixth aspects, where the control unit is a heat insulation performance evaluation system that causes the comparison result information to be displayed on a terminal device associated with a user of the air conditioner installed in the room or the house.

[0018] According to a seventh aspect of the present disclosure, a user of an air conditioner can easily grasp the heat insulation performance of the room or the house in which the air conditioner is installed.

[0019] An eighth aspect of the present disclosure is the heat insulation performance evaluation system according to any one of the first to seventh aspects, where the first information and the index information indicate a plurality of types of heat loads in the room or the house.

[0020] According to the eighth aspect of the present disclosure, it becomes easier to propose improvements for improving the heat insulation performance to the user.

[0021] The ninth aspect of the present disclosure is the heat insulation performance evaluation system according to any one of the first to eighth aspects, where the control unit, receives an instruction from a terminal device associated with a user and causes the comparison result information to be displayed on a terminal device different from the terminal device associated with the user, and is a heat insulation performance evaluation system.

[0022] According to the ninth aspect of the present disclosure, the evaluation result information can be shared between the user of the air conditioner and a third party other than the user.

[0023] The heat insulation performance evaluation method according to the tenth aspect of the present disclosure is a heat insulation performance evaluation method by a heat insulation performance evaluation system including an air conditioner and a server device connected to the air conditioner via a network, collecting air conditioner data including output values of sensors and operation data of the air conditioner from the air conditioner; generating first information regarding the heat insulation performance in the room or house using the air conditioner data; and comparing the first information with index information serving as an index for evaluating the heat insulation performance.

[0024] According to the tenth aspect of the present disclosure, the heat insulation performance of a room or house can be evaluated.

Brief Description of Drawings

[0025] [Figure 1] It is a diagram showing an example of the system configuration of the heat insulation performance evaluation system. [Figure 2] It is a diagram showing an example of the hardware configuration of the server device. [Figure 3] It is a diagram for explaining the functional configuration of the server device and the distribution server device. [Figure 4]This is a diagram showing an example of a house information storage unit. [Figure 5] This is a diagram showing an example of an air conditioner data storage unit. [Figure 6] This figure shows an example of the first information storage unit. [Figure 7] This is a diagram showing an example of a reference information storage unit. [Figure 8] This figure shows an example of a proposed information storage unit. [Figure 9] This is the first sequence diagram illustrating the operation of the thermal insulation performance evaluation system. [Figure 10] This is a flowchart explaining the processing of the load calculation unit. [Figure 11] This is the second sequence diagram illustrating the operation of the thermal insulation performance evaluation system. [Figure 12A] Figure 1 shows an example of the evaluation results screen. [Figure 12B] Figure 2 shows an example of the evaluation results screen. [Figure 13] Figure 3 shows an example of the evaluation results screen. [Modes for carrying out the invention]

[0026] Embodiments will be described below with reference to the drawings. Figure 1 is a diagram showing an example of the system configuration of a thermal insulation performance evaluation system.

[0027] The thermal insulation performance evaluation system 100 of this embodiment includes a server device 200, air conditioners 300a to 300n, communication devices 310a to 310n, and a distribution server device 400.

[0028] The server device 200 in this embodiment communicates with communication devices 310a to 310n via a network such as the Internet.

[0029] Each of the communication devices 310a to 310n is installed in a house, for example, and acquires air conditioning data, including the operating data of the air conditioners 300a to 300n installed in the house and the output values ​​of the sensors that each of the air conditioners 300a to 300n has, and transmits it to the server device 200. The communication devices 310a to 310n may be, for example, routers. In the following description, when the communication devices 310a to 310n are not distinguished, they will simply be referred to as communication device 310.

[0030] The air conditioners 300a to 300n of this embodiment are installed in a house, such as a residence. Each of the air conditioners 300a to 300n may be, for example, an air conditioner, a ventilation system, a floor heating system, etc. In the following description, when the air conditioners 300a to 300n are not distinguished, they will simply be referred to as air conditioner 300.

[0031] Furthermore, the house in this embodiment includes multiple rooms, each equipped with an air conditioner 300. If the house has only one room equipped with an air conditioner 300, the thermal insulation performance of the house will be that of the room equipped with the air conditioner 300.

[0032] In Figure 1, air conditioners 300a, 300b, and 300c are installed in each room of house 1A, and a communication device 310a is also installed in house 1A. The communication device 310a in house 1A acquires air conditioner data, including operating data and sensor output values, from each of the air conditioners 300a, 300b, and 300c, and transmits it to the server device 200.

[0033] Furthermore, in Figure 1, each room in house 1N is equipped with an air conditioner 300m and an air conditioner 300n, and house 1N is also equipped with a communication device 310n. The communication device 310n in house 1N acquires air conditioner data, including operating data and sensor output values, from each of the air conditioners 300m and 300n, and transmits it to the server device 200.

[0034] In this embodiment, the server device 200 is connected to the distribution server device 400 via a network such as the Internet. The server device 200 in this embodiment collects air conditioning data from the air conditioners 300 installed in each house via the communication device 310, and generates first information regarding the thermal insulation performance of each house. The server device 200 also evaluates the thermal insulation performance of each house based on the first information of each house, and stores evaluation result information, including the evaluation information of each house, in the distribution server device 400.

[0035] The distribution server device 400 is connected to terminal devices 500 and 600 via a network such as the Internet. Terminal device 500 may be, for example, a terminal device used by a user of an air conditioner 300 installed in a house. The distribution server device 400 may display to terminal device 500 the evaluation results of the thermal insulation performance of the house in which the user of terminal device 500 resides.

[0036] Terminal device 600 is a terminal device used by a third party separate from terminal device 500. Terminal device 600 allows users of terminal device 500 to view evaluation results information of the thermal insulation performance of the house in which they reside, in response to operations performed by the user of terminal device 500. In this embodiment, terminal device 600 may be, for example, a terminal device used by a contractor that performs house renovations.

[0037] In this embodiment, air conditioning data, including operating data of the air conditioner 300 and sensor output values, is collected for each house, and the evaluation results of the thermal insulation performance of each house are displayed on the terminal device 500 of the user residing in the house, based on first information regarding the thermal insulation performance of each house. Therefore, according to this embodiment, the user residing in the house can easily understand the thermal insulation performance of the house.

[0038] Furthermore, in this embodiment, the results of the thermal insulation performance evaluation can be displayed on the terminal device 600 used by the contractor at the instruction of the user residing in the house, and made available for the contractor performing the renovation to view, thus making it easy for the user to request renovations.

[0039] In the following explanation, "user" refers to the user of the air conditioner 300. In other words, in the following explanation, "user" refers to the user associated with the house where the air conditioner 300 is installed in the thermal insulation performance evaluation system 100.

[0040] In the example shown in Figure 1, there is one terminal device 500 and one terminal device 600 included in the thermal insulation performance evaluation system 100, but the number of terminal devices 500 and 600 included in the thermal insulation performance evaluation system 100 can be any number.

[0041] Furthermore, although the example in Figure 1 shows that the server device 200 and the distribution server device 400 are provided separately, the system is not limited to this. The server device 200 may also serve as the distribution server device 400.

[0042] Furthermore, although the server device 200 is represented as a single information processing device in the example in Figure 1, it is not limited to this. The server device 200 may be implemented using multiple information processing devices. For example, the functions of the server device 200 may be implemented by the server device 200 and the distribution server device 400.

[0043] The hardware configuration of the server device 200 in this embodiment will be described below with reference to Figure 2. Figure 2 is a diagram showing an example of the hardware configuration of the server device.

[0044] The server device 200 in this embodiment is a computer that includes an input device 21, an output device 22, a drive device 23, an auxiliary storage device 24, a memory device 25, a processor 26, and an interface device 27, all of which are interconnected via bus B.

[0045] The input device 21 is a device for inputting various types of information. The output device 22 is for outputting various types of information. The interface device 27 is used to connect to a network.

[0046] The thermal insulation performance evaluation program that enables the functions of the server device 200, described later, is at least a part of the various programs that control the server device 200, and is provided, for example, by downloading from a network.

[0047] Furthermore, the thermal insulation performance evaluation program may be provided on a recording medium 28 on which the program is recorded. The recording medium 28 can be of various types, such as recording media that record information optically, electrically, or magnetically, such as CD-ROMs, flexible disks, and magneto-optical disks, or semiconductor memories that record information electrically, such as ROMs and flash memory.

[0048] Furthermore, the thermal insulation performance evaluation program is downloaded from the network via the interface device 27 and installed on the auxiliary storage device 24.

[0049] The auxiliary storage device 24 implements the various storage units of the server device 200, storing programs installed on the server device 200, as well as various necessary files and information from the server device 200. The memory device 25 reads the thermal insulation performance evaluation program from the auxiliary storage device 24 and stores it when the server device 200 starts up. The processor 26 then performs various processes as described later, according to the thermal insulation performance evaluation program stored in the memory device 25.

[0050] Furthermore, the distribution server device 400 and terminal devices 500 and 600 in this embodiment are computers having a processor and a memory device, and their hardware configuration may be the same as that shown in Figure 2, so a detailed explanation is omitted.

[0051] Next, with reference to Figure 3, the functions of the server device 200 and the distribution server device 400 in this embodiment will be described. Figure 3 is a diagram illustrating the functional configuration of the server device and the distribution server device.

[0052] The server device 200 of this embodiment includes a house information storage unit 210, an air conditioner data storage unit 220, a weather information storage unit 230, a first information storage unit 240, a reference information storage unit 250, and a proposed information storage unit 260. Each of these storage units may be implemented, for example, by an auxiliary storage device 24 of the server device 200. The server device 200 also has a control unit 270. The functions of the control unit 270 are implemented by the processor 26 of the server device 200 reading and executing programs stored in the memory device 25, auxiliary storage device 24, etc.

[0053] The house information storage unit 210 stores house information relating to the house in which the air conditioner 300 is installed. The house information may be pre-entered by the user of the air conditioner 300. The air conditioner data storage unit 220 stores air conditioner data collected from the air conditioner 300. The air conditioner data includes the output values ​​of the sensors on the air conditioner 300 and the operating data of the air conditioner 300. Details of the house information storage unit 210 and the air conditioner data storage unit 220 will be described later.

[0054] The weather information storage unit 230 stores weather information obtained from external sources, such as the Internet. The weather information may include, for example, the date, weather conditions, temperature, humidity, etc.

[0055] The first information storage unit 240 stores first information regarding the thermal insulation performance of each house, which is generated by the processing of the control unit 270. The first information in this embodiment may include heat loads classified into multiple types. In other words, the first information in this embodiment is information that shows the result of classifying the heat load of each house into multiple types of heat loads, and can be said to be information regarding the heat load of each house.

[0056] The reference information storage unit 250 stores reference information indicating reference values ​​for each type of heat load included in the first information described later. The reference values ​​for each type of heat load are stored as predetermined values.

[0057] In this embodiment, classifying the heat load of a house into multiple types of heat loads makes it easier to suggest improvements to the user to enhance the insulation performance.

[0058] The proposal information storage unit 260 stores proposal information to be suggested to the user in accordance with evaluation information indicating the evaluation of the insulation performance of the house. The proposal information is pre-prepared information. Details of the first information storage unit 240, the reference information storage unit 250, and the proposal information storage unit 260 will be described later.

[0059] The control unit 270 of this embodiment includes an information acquisition unit 271, an input reception unit 272, a storage control unit 273, a load calculation unit 274, a thermal insulation performance evaluation unit 275, an evaluation result generation unit 276, and an output unit 277.

[0060] The information acquisition unit 271 collects air conditioner 300 data via the communication device 310 and stores it in the air conditioner data storage unit 220. The input reception unit 272 receives various inputs to the server device 200. Specifically, the input reception unit 272 receives inputs such as house information from the terminal device 500 and standard information from the administrator of the thermal insulation performance evaluation system 100.

[0061] The storage control unit 273 controls the storage of information to each storage unit. Specifically, the storage control unit 273 controls, for example, the storage of air conditioner data to the air conditioner data storage unit 220. The storage control unit 273 also controls the storage of first information to the first information storage unit 240.

[0062] The load calculation unit 274 calculates the heat load of a house based on house information, weather information, and air conditioner data. In this embodiment, the load calculation unit 274 may calculate the sensible heat load and latent heat load of the air conditioner for the entire house. Alternatively, the load calculation unit 274 may classify the heat load of the house into multiple types of heat loads and calculate the heat load for each of the multiple types. In this embodiment, the information including the multiple types of heat loads for each house calculated by the load calculation unit 274 is referred to as the first information. In other words, the load calculation unit 274 generates the first information. Details of the processing of the load calculation unit 274 will be described later.

[0063] The thermal insulation performance evaluation unit 275 acquires index information, which serves as an indicator for evaluating the thermal insulation performance of a house, based on the first information generated by the load calculation unit 274, and evaluates the thermal insulation performance of the house by comparing the first information with the index information.

[0064] In this embodiment, the thermal insulation performance evaluation unit 275 may acquire reference information stored in the reference information storage unit 250 as index information. Alternatively, the thermal insulation performance evaluation unit 275 may acquire first information of other houses stored in the first information storage unit 240 as index information. Here, "other houses" refers to houses located in the same area as the house being evaluated. The index information may be selected by the user of the terminal device 500. Note that "other houses" may be multiple houses or a single house.

[0065] Furthermore, the thermal insulation performance evaluation unit 275 may perform both an evaluation of the thermal insulation performance of a house using standard information as index information, and an evaluation of the thermal insulation performance of a house using the first information of another house as index information.

[0066] In the following explanation, the evaluation results obtained when the insulation performance of a house is evaluated using standard information as indicator information will be referred to as "first evaluation information," and the evaluation results obtained when the insulation performance of a house is evaluated using the first information of another house as indicator information will be referred to as "second evaluation information."

[0067] In this embodiment, by evaluating the thermal insulation performance of a house using the first information of other houses as indicator information, it is possible to evaluate the first information relatively within the same region.

[0068] The evaluation result generation unit 276 generates evaluation result information showing the results of the insulation performance evaluation of the house by the insulation performance evaluation unit 275. The evaluation result information may be, for example, display information to be shown on a terminal device 500 of a user residing in the house whose insulation performance has been evaluated. The evaluation result information also includes first evaluation information and second evaluation information.

[0069] Furthermore, the evaluation result generation unit 276 of this embodiment may estimate the heat load of the house when the proposed content indicated by the proposed information identified based on the first evaluation information is implemented, and include information indicating the estimated result in the evaluation result information. In addition, the evaluation result generation unit 276 may estimate the power consumption and utility costs of the air conditioner 300 when the proposed content indicated by the proposed information is implemented, and include this in the evaluation result information.

[0070] The output unit 277 outputs the evaluation result information generated by the evaluation result generation unit 276 to the distribution server device 400.

[0071] The distribution server device 400 of this embodiment includes an evaluation result storage unit 410, a registered vendor storage unit 415, and a display control unit 420.

[0072] The evaluation result storage unit 410 stores evaluation result information output from the server device 200. The registered contractor storage unit 415 stores registered contractor information relating to contractors who perform house renovations, etc. The registered contractor information may include, for example, the email address or telephone number of a contractor who performs house renovations. The registered contractor information may also be stored in advance in the distribution server device 400.

[0073] The display control unit 420 displays evaluation result information on the terminal device 500 and the terminal device 600 used by registered businesses.

[0074] In the example shown in Figure 3, the server device 200 is provided with a house information storage unit 210, an air conditioner data storage unit 220, a weather information storage unit 230, a reference information storage unit 250, a first information storage unit 240, and a proposal information storage unit 260, but is not limited to this. Some or all of these storage units may be provided in a device other than the server device 200 that can communicate with the server device 200. Furthermore, the device other than the server device 200 that can communicate with the server device 200 may be a distribution server device 400.

[0075] Furthermore, in the example shown in Figure 3, the functions of the control unit 270 are assumed to be implemented by the server device 200, but this is not limited to this. The functions of the control unit 270 may be implemented by multiple information processing devices. Alternatively, the functions of the control unit 270 may be implemented by the server device 200 and the distribution server device 400.

[0076] Furthermore, in the example shown in Figure 3, the distribution server device 400 is assumed to have an evaluation result storage unit 410 and a display control unit 420, but it is not limited to this. The evaluation result storage unit 410 and the display control unit 420 may also be provided in the server device 200. In other words, the server device 200 may also serve as the distribution server device 400.

[0077] Next, with reference to Figures 4 to 8, the storage units of the server device 200 will be described. Figure 4 shows an example of a house information storage unit.

[0078] The house information stored in the house information storage unit 210 shown in Figure 4 includes the user ID, address, and property information as information items, with the "user ID" item being associated with the "address" and "property information" items.

[0079] The value of the "User ID" field is identification information that identifies the user associated with the house. A user associated with a house is primarily, but not limited to, a user residing in the house. This includes users who manage the house. The value of the "Address" field indicates the address where the house is located.

[0080] The item "Property Information" is associated with multiple items. The items associated with "Property Information" include room area, window size, window direction, floor plan, number of occupants, lighting information, and installed equipment. The value of the item "Room Area" indicates the area of ​​the rooms in the house. The value of the item "Window Size" indicates the size of the windows installed in the house. The value of the item "Window Direction" indicates the direction in which the windows are installed in the house. The value of the item "Floor Plan" indicates the floor plan of the house. The value of the item "Number of Occupants" indicates the number of people present in the house. The value of the item "Lighting Information" indicates the type of lighting fixture installed in the room where the air conditioner 300 is located. The value of the item "Installed Equipment" indicates the electrical appliances and electronic devices placed inside the house, and the power consumption of those electrical appliances and electronic devices.

[0081] In the example in Figure 4, the house associated with the user identified by user ID "101" has a room area of ​​70m². 2 It is a 3LDK apartment with a 1690mm x 2030mm window facing south. Appliances such as a television and refrigerator are placed inside, indicating that four people are living in the apartment.

[0082] Note that the information included in the house information is not limited to the example shown in Figure 4. The house information may include, for example, information that associates the air conditioner 300 with the room in which the air conditioner 300 is installed.

[0083] Figure 5 shows an example of an air conditioner data storage unit. In the air conditioner data storage unit 220 of this embodiment, air conditioner data is stored for each user ID. In other words, the air conditioner data storage unit 220 stores equipment information for each house associated with a user identified by a user ID.

[0084] The air conditioner data in this embodiment includes the following information items: unit number, model name, operating data, and sensor output value. Furthermore, the air conditioner data is information associated with the item "User ID". When the air conditioner 300 is installed in a house, the unit number and model may be associated with the User ID and stored in the air conditioner data storage unit 220. The value of the item "User ID" is identification information that identifies the User ID when the air conditioner 300 indicated by the unit number is installed in a house.

[0085] The value in the "Unit Number" field is identification information used to identify air conditioner 300. The value in the "Model" field indicates the model of air conditioner 300.

[0086] The value of the item "Operation Data" indicates the operation data obtained from the air conditioner 300, which is identified by its serial number and model. The operation data includes the rotation speed of the indoor fan, the heat exchanger temperature, the date, etc. The operation data may also include information indicating the history of user operations. The value of the item "Sensor Output Value" indicates the output values ​​of various sensors installed in the air conditioner 300, which is identified by its serial number and model. The sensor output values ​​include indoor temperature, outdoor temperature, indoor humidity, etc.

[0087] In the example in Figure 5, it can be seen that the house associated with the user identified by user ID "101" is equipped with an air conditioner 300a, identified by model "Air Conditioner" and unit number "1", an air conditioner 300b, identified by model "Ventilation System" and unit number "2", and an air conditioner 300c, identified by model "Floor Heating" and unit number "3".

[0088] Figure 6 shows an example of the first information storage unit. The first information stored in the first information storage unit 240 is stored for each user ID.

[0089] The first information in this embodiment includes heat load for each of several types. The first information is also information associated with the item "User ID". The value of the item "User ID" is identification information that identifies the user associated with the house where the air conditioner 300 indicated by the unit number is installed.

[0090] In the example in Figure 6, the types of heat loads include sensible heat load from air conditioning, latent heat load from air conditioning, structural load, solar radiation load, in-wall load, equipment load, sensible heat load from the human body, latent heat load from the human body, sensible heat load from ventilation, latent heat load from ventilation, sensible heat load from drafts, and latent heat load from drafts.

[0091] The sum of the sensible heat load and latent heat load of the air conditioning system represents the total heat load of the house. The sum of the structural load, solar radiation load, and wall load represents the building envelope load. The building envelope load may include the glass load. The sum of the equipment load, human sensible heat load, and human latent heat load represents the indoor load. The indoor load may include the lighting load. The sum of the ventilation sensible heat load, ventilation latent heat load, draft sensible heat load, and draft latent heat load represents the outdoor air load.

[0092] Each type of heat load is calculated by the load calculation unit 274. Furthermore, the multiple types of heat loads stored in the first information storage unit 240 are normalized values ​​based on the rated capacity of the air conditioner 300 installed in the house or information indicating the size of the house.

[0093] In this embodiment, the rated capacity of the air conditioner 300 installed in the house or the information indicating the size of the house may be user-input information entered by the user as part of the house information, as will be described later. In addition, in this embodiment, catalog information of the air conditioner 300 obtained via the internet or the like may be used as the rated capacity of the air conditioner 300 installed in the house or the information indicating the size of the house. Furthermore, in this embodiment, estimated information obtained by the air conditioner 300 using sensors mounted on the unit to estimate the size of the space in which it is installed may be used as the rated capacity of the air conditioner 300 installed in the house or the information indicating the size of the house.

[0094] In this embodiment, the administrator of the thermal insulation performance evaluation system 100 may set priorities for each of the user input information, catalog information, and estimated information, and the information with the highest priority may be used as information indicating the rated capacity of the air conditioner 300 or the size of the house. In addition, in this embodiment, the administrator of the thermal insulation performance evaluation system 100 may pre-set information from the user input information, catalog information, and estimated information to be used as information indicating the rated capacity of the air conditioner 300 or the size of the house.

[0095] In this embodiment, by normalizing the heat load included in the first information, the first information for each house can be made independent of the air conditioner 300 installed in the house, the size of the house, etc.

[0096] Furthermore, the multiple types of heat loads included in the first information stored in the first information storage unit 240 are normalized values ​​based on the difference between the indoor temperature and the outdoor temperature of the house being evaluated. In this embodiment, by setting the multiple types of heat loads to such values, the values ​​can be made independent of the climate of the area where the air conditioner 300 is installed, thereby increasing the usefulness of the data.

[0097] Furthermore, the multiple types of heat loads included in the first information stored in the first information storage unit 240 may be normalized based on the amount of solar radiation in the room where the air conditioner 300 is installed. Alternatively, the multiple types of heat loads stored in the first information storage unit 240 may be normalized based on the difference between the indoor temperature of the room where the air conditioner 300 is installed and the temperature of the adjacent room.

[0098] Furthermore, the types of heat loads included in the first information in this embodiment are not limited to the examples shown in Figure 6. The types of heat loads included in the first information do not need to include all the types shown in Figure 6; for example, they may only include the sensible heat load and the latent heat load of the air conditioning system. Also, the first information may represent the heat load of the entire house. The heat load of the entire house is the sum of the sensible heat load and the latent heat load of the air conditioning system.

[0099] Figure 7 shows an example of a reference information storage unit. The reference values ​​included in the reference information stored in the reference information storage unit 250 are reference values ​​for each of several types of heat loads predetermined for each region. In the example shown in Figure 7, the types of heat loads for which reference values ​​are stored in the reference information storage unit 250 are the same as those shown in Figure 6.

[0100] Furthermore, the reference values ​​for multiple types of heat loads included in the reference information are normalized values ​​based on the rated capacity of the air conditioner 300 installed in the house or information regarding the size of the house in which the air conditioner 300 is installed.

[0101] In this embodiment, by setting reference values ​​for multiple types of heat load for each region, the reference values ​​can be made to take into account the weather conditions of each region. Furthermore, in this embodiment, by making the reference values ​​for multiple types of heat load normalized values, the values ​​can be made independent of the air conditioner 300 installed in the house, the size of the house, etc.

[0102] Figure 8 shows an example of a proposal information storage unit. The proposal information stored in the proposal information storage unit 260 shown in Figure 8 is pre-stored by the administrator of the server device 200 or the like.

[0103] The proposal information stored in the proposal information storage unit 260 is information that associates the first evaluation information with the proposed content. In this embodiment, the proposal information storage unit 260 may, for example, compare each thermal load included in the first information with each reference value included in the reference information, and acquire proposal information if the thermal load included in the first information deviates from the reference value included in the reference information by a predetermined range or more. The predetermined range may be pre-defined.

[0104] Figure 8 shows that, for example, if the structural load, solar radiation load, and wall load each deviate from the standard value by a predetermined range, the proposed solution is house renovation. Also, Figure 8 shows that, for example, if the solar radiation load deviates from the corresponding standard value by a predetermined range, the proposed solution is the introduction of interior design.

[0105] The proposal information stored in the proposal information storage unit 260 may be text data. Furthermore, the proposal information stored in the proposal information storage unit 260 is not limited to the example shown in Figure 8. The proposal information stored in the proposal information storage unit 260 may, for example, include proposal information that includes proposal content suggested to the user based on the second evaluation information. The proposal content suggested to the user based on the second evaluation information may, for example, be points to be raised regarding the house being evaluated, based on the comparison results with the first information for houses in the same area.

[0106] Next, the operation of the thermal insulation performance evaluation system 100 of this embodiment will be described. Figure 9 is a first sequence diagram illustrating the operation of the thermal insulation performance evaluation system. Figure 9 illustrates the operation from when the server device 200 acquires air conditioner data from the air conditioner 300 until the evaluation result information is stored in the distribution server device 400.

[0107] In the thermal insulation performance evaluation system 100, the air conditioner 300 outputs its own air conditioner data to the communication device 310 (step S901). The communication device 310 transmits the air conditioner data output from the air conditioner 300 to the server device 200 (step S902).

[0108] The server device 200 acquires air conditioner data received from the communication device 310 using the information acquisition unit 271, and stores the acquired air conditioner data in the air conditioner data storage unit 220 using the storage control unit 273 (step S903).

[0109] In this embodiment, the user ID and the unit number and model number for identifying the air conditioner 300 may be pre-registered in the air conditioner data storage unit 220. When the information acquisition unit 271 acquires air conditioner data, the storage control unit 273 identifies the user ID to which the air conditioner data is associated based on the unit number and model number included in the air conditioner data. The storage control unit 273 then associates the acquired air conditioner data with the identified user ID and stores it in the air conditioner data storage unit 220.

[0110] Furthermore, in the example shown in Figure 9, the air conditioner data acquired from the air conditioner 300 over a certain period of time may be stored in the air conditioner data storage unit 220.

[0111] Next, the server device 200 uses the load calculation unit 274 to calculate the heat load of the house where the air conditioner 300 is installed, using the acquired air conditioner data, and uses this as first information (step S904). In other words, the load calculation unit 274 is an example of a generation unit that generates first information. Details of the processing of the load calculation unit 274 in step S904 will be described later.

[0112] Next, the server device 200 stores the generated first information in the first information storage unit 240 using the storage control unit 273 (step S905).

[0113] Specifically, the storage control unit 273 obtains a user ID associated with the air conditioner data acquired in step S902, associates the acquired user ID with the first information, and stores it in the first information storage unit 240.

[0114] Next, the server device 200 evaluates the thermal insulation performance of the house based on the first information obtained in step S905 using the thermal insulation performance evaluation unit 275 (step S906).

[0115] Here, we will explain the processing of the thermal insulation performance evaluation unit 275 when the evaluation index information is the reference information stored in the reference information storage unit 250.

[0116] In this case, the thermal insulation performance evaluation unit 275 refers to the address corresponding to the user ID associated with the first information in step S905 in the house information storage unit 210. Next, the thermal insulation performance evaluation unit 275 refers to the reference information storage unit 250 and obtains regional reference information including the address corresponding to the user ID. Next, the thermal insulation performance evaluation unit 275 compares the heat load for each of the multiple types included in the first information with the reference values ​​of the multiple types of heat load included in the reference information.

[0117] The thermal insulation performance evaluation unit 275 then identifies the type of thermal load if there is a type of thermal load whose thermal load deviates from the standard value by a predetermined value or more. In this embodiment, information indicating the type of thermal load whose deviation from the standard value is greater than or equal to a predetermined value may be used as the first evaluation information.

[0118] Next, we will explain the processing of the thermal insulation performance evaluation unit 275 when the evaluation index information is the first information of another house.

[0119] In this case, the thermal insulation performance evaluation unit 275 refers to the house information storage unit 210 and extracts the user ID of the region that includes the address corresponding to the user ID associated with the first information in step S905. In other words, the thermal insulation performance evaluation unit 275 extracts the user ID associated with houses in the same region as the house that was evaluated.

[0120] Next, the thermal insulation performance evaluation unit 275 extracts first information corresponding to the extracted user ID from the first information storage unit 240. In other words, the thermal insulation performance evaluation unit 275 extracts first information of houses located in the same area as the house being evaluated. Next, based on the extracted first information, the thermal insulation performance evaluation unit 275 creates a normal distribution of heat load and identifies where the heat load of the house being evaluated is located within the normal distribution. In this embodiment, information indicating the location of the house being evaluated within the normal distribution of heat load of houses in the same area may be used as second evaluation information.

[0121] Next, the server device 200 generates evaluation result information showing the evaluation result of the thermal insulation performance by the thermal insulation performance evaluation unit 275 using the evaluation result generation unit 276 (step S907).

[0122] Here, the generation of evaluation result information by the evaluation result generation unit 276 will be described. In this embodiment, the evaluation result generation unit 276 refers to the proposal information storage unit 260 and obtains the type of heat load indicated by the first evaluation information and the corresponding proposal content. Then, the evaluation result generation unit 276 associates the first evaluation information with the obtained proposal content.

[0123] Furthermore, the evaluation result generation unit 276 refers to the proposal information storage unit 260 and obtains the range of the normal distribution representing the second evaluation information and the corresponding proposal content. Then, the evaluation result generation unit 276 associates the second evaluation information with the obtained proposal content.

[0124] Next, the evaluation result generation unit 276 associates the information relating the first evaluation result to the proposed content, and the information relating the second evaluation result to the proposed content, with the user ID associated with the house that was the subject of evaluation, to obtain evaluation result information.

[0125] When the evaluation result information is generated by the evaluation result generation unit 276, the server device 200 transmits the evaluation result information to the distribution server device 400 (step S908).

[0126] When the distribution server device 400 receives evaluation result information from the server device 200, it stores it in the evaluation result storage unit 410 (step S909).

[0127] Next, with reference to Figure 10, the processing of the load calculation unit 274 in this embodiment will be described. Figure 10 is a flowchart illustrating the processing of the load calculation unit.

[0128] The load calculation unit 274 acquires air conditioner data from the air conditioner data storage unit 220, including operating data of the air conditioner 300 and sensor output values ​​(step S1001). Next, the load calculation unit 274 acquires house information of the house where the air conditioner 300 is installed from the house information storage unit 210 (step S1002). Next, the load calculation unit 274 acquires weather information for the area including the address included in the acquired house information from the weather information storage unit 230 (step S1003). The weather information acquired here includes, for example, outside temperature, humidity, solar radiation, etc.

[0129] Next, the load calculation unit 274 refers to the operating data of the air conditioner 300 and the output values ​​of the sensors, and calculates the sensible heat load and latent heat load from the amount and temperature of air drawn in from the intake port and the amount and temperature of air discharged from the outlet port of the air conditioner 300 (step S1004). The sensible heat load is the heat load generated when the air conditioner 300 changes the temperature of the room, and the latent heat load is the heat load generated when the air conditioner 300 changes the humidity of the room.

[0130] Next, the load calculation unit 274 extracts a steady-state interval from the sensible heat load and latent heat load of the air conditioner, as well as the temperature and humidity of the room (step S1005). The steady-state interval is the time period during which the air conditioner 300 is in operation and the temperature and humidity of the room remain constant. In this embodiment, the sum of the sensible heat load and latent heat load of the air conditioner in the steady-state interval is taken as the heat load of the house (the room in which the air conditioner 300 is installed).

[0131] Next, the load calculation unit 274 determines the sensible heat load and the latent heat load of the human body according to the number of occupants included in the house information (step S1006). The sensible heat load and the latent heat load of the human body are the heat generation load by people. The sensible heat load of the human body is a value obtained from the number of people and the amount of sensible heat per person, and the latent heat load of the human body is a value obtained from the number of people and the amount of latent heat per person. The number of people and the amount of sensible heat and latent heat per person may be predetermined in, for example, the construction equipment design standards.

[0132] Next, the load calculation unit 274 calculates the sum of the ventilation latent heat load and the draft latent heat load from the difference between the air conditioning latent heat load and the human body latent heat load (step S1007). The ventilation latent heat load is the latent heat load due to the outside air taken into the room, and the draft latent heat load is the latent heat load due to drafts. The sum of the ventilation latent heat load and the draft latent heat load is the outside air latent heat load.

[0133] Next, the load calculation unit 274 calculates the amount of outside air flowing in from the sum of the ventilation latent heat load and the draft latent heat load, and environmental information (step S1008). The environmental information may include, for example, the outdoor humidity and indoor humidity included in the sensor output values, and the room area included in the house information.

[0134] Next, the load calculation unit 274 calculates the sum of the ventilation sensible heat load and the draft sensible heat load based on the amount of outside air inflow (step S1009).

[0135] Next, the load calculation unit 274 classifies the sensible heat load of the air conditioning system into structural sensible heat load, solar radiation load, wall load, other noise, and fixed load according to changes based on the difference between indoor and outdoor room temperatures, changes based on solar radiation and direction, and changes in adjacent room temperature and indoor temperature (step S1010).

[0136] Structural sensible heat load is the load generated by the temperature difference between the inside and outside separated by structural elements such as walls, floors, ceilings, and roofs of a house, and is a value that is linear with respect to the difference between indoor and outdoor temperatures obtained as sensor output values. Solar radiation load is the load of direct sunlight entering through glass surfaces, and is a value that is linear with respect to the amount of solar radiation included in weather information and the window direction included in house information.

[0137] The wall load is the load from walls, floors, etc., separating rooms, and is a value that is linear with respect to the room temperature of the room where the air conditioner 300 is located and the room temperature of the adjacent room. The noise and fixed load is the value obtained by subtracting the sum of the structural sensible heat load, solar radiation load, and wall load from the sensible heat load of the air conditioning system.

[0138] In this embodiment, the sensible heat load of the air conditioning system is classified into four values, thereby classifying the sensible heat load into multiple types of heat loads.

[0139] Next, the load calculation unit 274 distributes the noise and fixed loads classified in step S1010 into lighting loads and equipment loads based on information indicating the room size (step S1011). The information indicating the room size may be information indicating the size of the house entered by the user, or information estimating the room size by the air conditioner 300.

[0140] Lighting load is the load generated by the lighting fixtures themselves and can be calculated from the number of fixtures and their power consumption. Equipment load is the load generated by the equipment placed in the room and is determined based on the size of the room in which the equipment is placed and the power consumption of the equipment.

[0141] Next, the load calculation unit 274 determines whether or not the air conditioner data for the ventilation system is included in the air conditioner data acquired in step S1001 (step S1012).

[0142] If the air conditioner data for the ventilation system is not included in step S1012, the load calculation unit 274 proceeds to step S1015, which will be described later.

[0143] In step S1012, if the air conditioner data for the ventilation system is included, the load calculation unit 274 calculates the ventilation sensible heat load and ventilation latent heat load from the ventilation system's operating data and the sensor output values ​​(step S1013).

[0144] Next, the load calculation unit 274 calculates the draft sensible heat load by subtracting the ventilation sensible heat load calculated in step S1013 from the sum of the ventilation sensible heat load and the draft sensible heat load, and calculates the draft latent heat load by subtracting the ventilation latent heat load calculated in step S1013 from the sum of the ventilation latent heat load and the draft latent heat load (step S1014), and proceeds to step S1020, which will be described later.

[0145] In step S1012, if no air conditioner data for the ventilation system exists, the load calculation unit 274 determines whether or not ventilation is being performed in the room (step S1015).

[0146] In step S1015, if ventilation is not performed, the load calculation unit 274 takes the sum of the ventilation sensible heat load and the draft sensible heat load as the draft sensible heat load, and the sum of the ventilation latent heat load and the draft latent heat load as the draft latent heat load (step S1016), and proceeds to step S1020, which will be described later.

[0147] In step S1015, if ventilation is occurring, the load calculation unit 274 sets the standard ventilation rate (step S1017) and calculates the ventilation sensible heat load and ventilation latent heat load (step S1018).

[0148] Next, the load calculation unit 274 calculates the draft sensible heat load by subtracting the ventilation sensible heat load calculated in step S1013 from the sum of the ventilation sensible heat load and the draft sensible heat load, and calculates the draft latent heat load by subtracting the ventilation latent heat load calculated in step S1013 from the sum of the ventilation latent heat load and the draft latent heat load (step S1019), and proceeds to step S1020, which will be described later.

[0149] Next, the load calculation unit 274 associates the various heat loads calculated in the process up to step S1019 with the user ID associated with the air conditioner data, sets them as first information (step S1020), and terminates the process.

[0150] Next, referring to Figure 11, we will explain the operation of the thermal insulation performance evaluation system 100 in which evaluation result information is displayed on the user's terminal device 500 linked to the house. Figure 11 is a second sequence diagram illustrating the operation of the thermal insulation performance evaluation system.

[0151] In the thermal insulation performance evaluation system 100, when the terminal device 500 receives an operation to instruct the display of evaluation result information for the thermal insulation performance of the user's house (step S1101), it transmits an instruction to the server device 200 to display the evaluation result information (step S1102).

[0152] When the server device 200 receives this display instruction via the input reception unit 272, the output unit 277 transmits a request to the distribution server device 400 to display evaluation result information (step S1103). This display request includes the user ID of the terminal device 500.

[0153] When the distribution server device 400 receives a display request from the server device 200, the display control unit 420 identifies the evaluation result information, including the user ID included in the display request (step S1104). Subsequently, the distribution server device 400 sends a display instruction for the evaluation result information to the terminal device 500 (step S1105).

[0154] When the terminal device 500 receives a display instruction from the distribution server device 400, the terminal device 500 accesses the distribution server device 400 and displays an evaluation results screen containing the evaluation result information identified by the display control unit 420 (step S1106). Details of the evaluation results screen will be described later.

[0155] Next, when the terminal device 500 performs an operation on the evaluation results screen to allow a third party to view the evaluation results information (step S1107), it sends a notification to the distribution server device 400 indicating that the registered vendor has been permitted to view the evaluation results information (step S1108).

[0156] Upon receiving this notification, the distribution server device 400 sends a notification to the terminal device 600 indicating that there is evaluation result information that can be viewed, based on the registered vendor information stored in the registered vendor storage unit 415 (step S1109).

[0157] The evaluation results screen will be explained below with reference to Figures 12A, 12B, and 13. Figure 12A is the first figure showing an example of the evaluation results screen.

[0158] The screen 501 shown in Figure 12A is an example of a screen displayed on the terminal device 500 in step S1106 of Figure 11. The screen 501 shown in Figure 12A is also an example of an evaluation result screen when the deviation from the reference value of solar radiation load included in the first information is greater than or equal to a predetermined value, when the reference information stored in the reference information storage unit 250 is used as index information.

[0159] Screen 501 includes display areas 502, 503, 504, and operation units 505, 506. Display area 502 displays first evaluation information 502a, which indicates that a heat load whose deviation from a reference value is greater than or equal to a predetermined value is a solar radiation load, and information 502b, which indicates the type of heat load indicated by the first evaluation information 502a and the corresponding proposed content.

[0160] Display area 503 displays a graph showing the comparison result between the solar radiation load included in the first information and the standard value of the solar radiation load included in the reference information.

[0161] Display area 504 displays the estimated solar radiation load and the estimated energy costs if the proposed content shown in information 502b is implemented.

[0162] Specifically, display area 504 displays bar graphs 504a and 504b. Bar graph 504a shows a comparison between the current solar radiation load and the estimated solar radiation load if the proposed measures shown in information 502b are implemented. Bar graph 504b shows a comparison between the current energy costs and the estimated energy costs if the proposed measures shown in information 502b are implemented.

[0163] Figure 12 shows that bar graph 504a indicates that if the proposed measures shown in information 502b are implemented, the solar radiation load will be reduced. Furthermore, bar graph 504b indicates that if the proposed measures shown in information 502b are implemented, energy costs will be reduced.

[0164] In this embodiment, by comparing the current heat load and utility costs with the heat load and utility costs if the proposed measures are implemented, the user of the terminal device 500 can visually grasp the effects of implementing the proposed measures, such as improved insulation performance of the house and reduced utility costs.

[0165] The operation unit 505 is an operation unit for transitioning screen 501 to an evaluation results screen that includes second evaluation information. When the operation unit 505 is operated on screen 501, screen 501 may transition to screen 501B, which will be described later.

[0166] The operation unit 506 is an operation unit for granting permission to businesses whose registered business information is stored in the registered business information storage unit 415 to view the information displayed on the evaluation results screen. In this embodiment, for example, when the operation unit 506 is operated, a list of businesses whose registered business information is stored in the registered business information storage unit 415 may be displayed. In that case, the terminal device 500 may grant permission to view information only to businesses selected from the list. Therefore, in this embodiment, it is possible to easily request a consideration of home renovations from the user of the terminal device 500.

[0167] Figure 12B is a second figure showing an example of an evaluation result screen. The screen 501A shown in Figure 12B is another example of a screen displayed on the terminal device 500 in step S1106 of Figure 11. Furthermore, the screen 501A shown in Figure 12B is an example of an evaluation result screen when the deviation from the reference value of solar radiation load included in the first information is greater than or equal to a predetermined value, when the reference information stored in the reference information storage unit 250 is used as index information.

[0168] Screen 501A includes display areas 503, 504A, and operation units 505 and 506. Display area 503 displays first evaluation information 503a, which indicates that a heat load whose deviation from a reference value is greater than or equal to a predetermined value is a solar radiation load, and information 503b, which indicates the content and cost of a renovation based on the proposed content corresponding to the type of heat load indicated by the first evaluation information 503a.

[0169] Information 503b includes Pattern 1, which proposes renovations to the windows of a house, and the cost of carrying out the renovations according to Pattern 1; and Pattern 2, which proposes renovations to the walls of a house, and the cost of carrying out the renovations according to Pattern 2.

[0170] Display area 504A shows the changes in thermal insulation performance when the renovations shown in pattern 1 and pattern 2, respectively, are carried out, as indicated in information 503b.

[0171] Specifically, display area 504 displays bar graphs 504c and 504d. Bar graph 504c shows the current solar radiation load and the estimated solar radiation load if the renovations based on the proposed content shown in Pattern 1 are carried out.

[0172] Bar graph 504d shows the current solar radiation load and the estimated solar radiation load if the renovations based on the proposed content shown in Pattern 2 are carried out.

[0173] Figure 12B shows, from bar graphs 504c and 504d, that the insulation performance is improved when the renovation is carried out based on the proposed content shown in Pattern 1.

[0174] In this embodiment, by displaying the renovation patterns for multiple parts of the house and the effects of the renovations, the user of the terminal device 500 can easily grasp the degree to which the house's thermal insulation performance has improved due to the renovations.

[0175] The operation unit 505 is an operation unit for transitioning screen 501A to an evaluation results screen that includes second evaluation information. When the operation unit 505 is operated on screen 501A, screen 501 may transition to screen 501B, which will be described later.

[0176] The operation unit 506 is an operation unit for granting permission to businesses whose registered business information is stored in the registered business information storage unit 415 to view the information displayed on the evaluation results screen. In this embodiment, for example, when the operation unit 506 is operated, a list of businesses whose registered business information is stored in the registered business information storage unit 415 may be displayed. In that case, the terminal device 500 may grant permission to view information only to businesses selected from the list. Therefore, in this embodiment, it is possible to easily request a consideration of home renovations from the user of the terminal device 500.

[0177] Figure 13 is a third figure showing an example of an evaluation results screen. Screen 501B is an example of an evaluation results screen displayed when the operation unit 505 is operated on screen 501.

[0178] Screen 501B includes display areas 507 and 508, and operation units 506 and 509. Display area 507 displays the second evaluation information. Specifically, display area 507 includes graphs 507a and 507b.

[0179] Graph 507a shows the normal distribution of the sensible heat load of air conditioning for houses in the same area as the house being evaluated, with the number of users on the vertical axis and the sensible heat load of air conditioning on the horizontal axis. Similarly, graph 507b shows the normal distribution of the latent heat load of air conditioning for houses in the same area as the house being evaluated, with the number of users on the vertical axis and the latent heat load of air conditioning on the horizontal axis.

[0180] In Graph 507a, marker 51a indicates that the sensible heat load of the house being evaluated is greater than the average sensible heat load of houses in the same area. In Graph 507b, marker 51b indicates that the latent heat load of the house being evaluated is smaller than the average latent heat load of houses in the same area.

[0181] In this embodiment, instead of graphs 507a and 507b, information such as the normal distribution of electricity charges or information on health risks may be displayed.

[0182] The display area 508 displays information suggested to the user of the terminal device 500 based on the second evaluation information displayed in the display area 507.

[0183] In this embodiment, the comparison result (second evaluation information) between the first information of the house being evaluated and the first information of neighboring houses is displayed. Furthermore, in this embodiment, suggested content is displayed according to the comparison result. Therefore, in this embodiment, the user of the terminal device 500 can understand the difference in thermal insulation performance between their house and other neighboring houses. In addition, in the display area 508, if the thermal insulation performance of the target house is lower than that of neighboring houses, information indicating the disadvantages of having low thermal insulation performance may be displayed as suggested content to the user of the terminal device 500.

[0184] On screen 501B, when the operation unit 506 is operated, a list of registered contractors whose information is stored in the registered contractor storage unit 415 may be displayed. In that case, the terminal device 500 may allow viewing of information only for the selected contractor from the list. Therefore, in this embodiment, the user of the terminal device 500 can easily request consideration of home renovations.

[0185] The operation unit 509 is an operation unit for transitioning screen 501B to an evaluation results screen containing first evaluation information. When the operation unit 509 is operated on screen 501B, screen 501B may transition to screen 501 shown in Figure 12A.

[0186] The evaluation results screen displayed on the terminal device 500 is not limited to the examples shown in Figures 12A, 12B, and 13. For example, the evaluation results screen may display the current environmental information and annual electricity costs of the house being evaluated, as well as the environmental information and annual electricity costs after implementing the proposed measures. Environmental information may include, for example, solar radiation, outside temperature, indoor temperature, and indoor humidity. By displaying such information on the terminal device 500, the user can experience the effect of energy saving by the air conditioner 300 as a result of implementing the proposed measures.

[0187] Furthermore, the evaluation results screen may display the results of a simulation of temperature and humidity under specific environmental conditions. These specific conditions may be room temperature xx°C, outside temperature yy°C, outside humidity zz%, indoor humidity ww%, and around T PM. The simulation results displayed may have time on the horizontal axis and temperature (room temperature, outside temperature), humidity (indoor humidity, outside humidity), and power consumption on the vertical axis. In this embodiment, displaying such simulation results on the terminal device 500 allows the user to understand the effect of improving indoor comfort.

[0188] Although embodiments have been described above, it should be understood that various modifications to the form and details are possible without departing from the spirit and scope of the claims. [Explanation of symbols]

[0189] 100 Thermal Insulation Performance Evaluation System 200 Server Devices 210 House Information Storage Unit 220 Air conditioner data storage unit 230 Weather Information Memory Unit 240 1st information storage section 250 Standard information storage section 260 Proposal information storage unit 270 Control Unit 300 Air conditioner 400 Distribution Server Devices

Claims

1. A thermal insulation performance evaluation system including an air conditioner and a server device connected to the air conditioner via a network, The system includes a control unit that evaluates the thermal insulation performance of the room or house in which the air conditioner is installed, The control unit, From the aforementioned air conditioner, air conditioner data including the output values ​​of sensors and operating data of the air conditioner is collected. Using the aforementioned air conditioning data, first information regarding the thermal insulation performance of the room or house is generated. A thermal insulation performance evaluation system that compares the first information with index information that serves as an indicator for evaluating thermal insulation performance.

2. The first information and the indicator information are, The thermal insulation performance evaluation system according to claim 1, wherein the information is generated based on the rated capacity of the air conditioner or the size of the room or house in which the air conditioner is installed.

3. The aforementioned indicator information is, The thermal insulation performance evaluation system according to claim 1, wherein the information is generated based on air conditioning data collected via the network from an air conditioning unit installed in another room or house, which is located in the same area as the room or house in which the room or house is located.

4. The aforementioned indicator information is standard information predetermined for each region. The control unit, The thermal insulation performance evaluation system according to claim 1, which compares the first information with the reference information.

5. The aforementioned air conditioner data is, The thermal insulation performance evaluation system according to claim 1, comprising at least one of indoor temperature, outdoor temperature, indoor humidity, heat exchanger temperature, and indoor fan rotation speed.

6. The control unit, The thermal insulation performance evaluation system according to claim 1, which outputs comparison result information showing the result of comparing the first information with the index information which serves as an index for evaluating the thermal insulation performance.

7. The control unit, The thermal insulation performance evaluation system according to claim 6, wherein the comparison result information is displayed on a terminal device associated with the user of the air conditioner installed in the room or house.

8. The thermal insulation performance evaluation system according to claim 1, wherein the first information and index information indicate multiple types of heat loads in the room or house.

9. The control unit, The thermal insulation performance evaluation system according to claim 6, which receives instructions from a terminal device associated with a user and displays the comparison result information on a terminal device other than the terminal device associated with the user.

10. A method for evaluating thermal insulation performance using a thermal insulation performance evaluation system that includes an air conditioner and a server device connected to the air conditioner via a network, The steps include collecting air conditioner data from the air conditioner, including the output values ​​of sensors and operating data of the air conditioner, The steps include generating first information regarding the thermal insulation performance of a room or house using the aforementioned air conditioning data, A method for evaluating thermal insulation performance, comprising the step of comparing the first information with index information that serves as an indicator for evaluating the thermal insulation performance.

Images