WO2024071257A1 - Program, information processing method, and information processing device - Google Patents

Program, information processing method, and information processing device Download PDF

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Publication number
WO2024071257A1
WO2024071257A1 PCT/JP2023/035290 JP2023035290W WO2024071257A1 WO 2024071257 A1 WO2024071257 A1 WO 2024071257A1 JP 2023035290 W JP2023035290 W JP 2023035290W WO 2024071257 A1 WO2024071257 A1 WO 2024071257A1
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WO
WIPO (PCT)
Prior art keywords
recommended
space
conditioning equipment
air conditioning
air
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Application number
PCT/JP2023/035290
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French (fr)
Japanese (ja)
Inventor
寛子 樫本
知美 久木田
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ダイキン工業株式会社
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Publication of WO2024071257A1 publication Critical patent/WO2024071257A1/en

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    • F—MECHANICAL ENGINEERING; LIGHTING; HEATING; WEAPONS; BLASTING
    • F24—HEATING; RANGES; VENTILATING
    • F24F—AIR-CONDITIONING; AIR-HUMIDIFICATION; VENTILATION; USE OF AIR CURRENTS FOR SCREENING
    • F24F11/00—Control or safety arrangements
    • F24F11/89—Arrangement or mounting of control or safety devices
    • G—PHYSICS
    • G06—COMPUTING; CALCULATING OR COUNTING
    • G06Q—INFORMATION AND COMMUNICATION TECHNOLOGY [ICT] SPECIALLY ADAPTED FOR ADMINISTRATIVE, COMMERCIAL, FINANCIAL, MANAGERIAL OR SUPERVISORY PURPOSES; SYSTEMS OR METHODS SPECIALLY ADAPTED FOR ADMINISTRATIVE, COMMERCIAL, FINANCIAL, MANAGERIAL OR SUPERVISORY PURPOSES, NOT OTHERWISE PROVIDED FOR
    • G06Q30/00—Commerce
    • G06Q30/01—Customer relationship services
    • G06Q30/015—Providing customer assistance, e.g. assisting a customer within a business location or via helpdesk
    • G—PHYSICS
    • G06—COMPUTING; CALCULATING OR COUNTING
    • G06Q—INFORMATION AND COMMUNICATION TECHNOLOGY [ICT] SPECIALLY ADAPTED FOR ADMINISTRATIVE, COMMERCIAL, FINANCIAL, MANAGERIAL OR SUPERVISORY PURPOSES; SYSTEMS OR METHODS SPECIALLY ADAPTED FOR ADMINISTRATIVE, COMMERCIAL, FINANCIAL, MANAGERIAL OR SUPERVISORY PURPOSES, NOT OTHERWISE PROVIDED FOR
    • G06Q30/00—Commerce
    • G06Q30/06—Buying, selling or leasing transactions
    • G06Q30/0601—Electronic shopping [e-shopping]

Definitions

  • This technology relates to a program, an information processing method, and an information processing device.
  • Patent Document 1 outputs information on the suitable model and the suitable installation location based on inputted information on the room (space) in which the unit will be installed.
  • Patent Document 1 does not suggest models based on where the user wants to install the air conditioner.
  • the purpose of this disclosure is to provide a program etc. that can suggest models based on the location where the user wants to install the air conditioner.
  • the program according to the first aspect of the present disclosure causes a computer to execute a process of acquiring spatial information of a space in which an air conditioner is to be installed, acquiring the installation position of the air conditioner in the space, and identifying a recommended air conditioner based on the spatial information and the installation position.
  • the program according to the second aspect of the present disclosure is the program according to the first aspect, in which the spatial information includes information about the shape of the space.
  • This disclosure makes it possible to propose a model of air conditioning equipment that is best suited to the shape of the space.
  • the program according to the third aspect of the present disclosure is the program according to the first or second aspect, and the spatial information includes information regarding the position of a window in the space, the size of the space, the layout of the space, the area in which a building that includes the space is located, the type of the building, or the position of the space within the building.
  • the program according to the fourth aspect of the present disclosure is a program according to any one of the first to third aspects, in which the spatial information includes information regarding the use of the space.
  • This disclosure makes it possible to propose a model of air conditioning equipment that is suitable for the intended use of the space.
  • the program according to the fifth aspect of the present disclosure is a program according to any one of the first to fourth aspects, and identifies the recommended air conditioning equipment from among the candidate air conditioning equipment based on the spatial information, the installation position, and the airflow performance of the candidate air conditioning equipment that is a candidate for the recommended air conditioning equipment.
  • the program according to the sixth aspect of the present disclosure is a program according to any one of the first to fifth aspects, and outputs the reason why the recommended air conditioner was identified.
  • This disclosure makes it possible to increase users' satisfaction with the recommended air conditioners and increase their willingness to purchase them.
  • the program according to the seventh aspect of the present disclosure is a program according to any one of the first to sixth aspects, and if the shape of the space is a predetermined shape, identifies the recommended air conditioning equipment that has a temperature sensing function or a human detection function.
  • the program according to the eighth aspect of the present disclosure is a program according to any one of the first to seventh aspects, and if the use of the space is a predetermined use, identifies the recommended air conditioning equipment that has a temperature sensing function or a human detection function.
  • the program according to the ninth aspect of the present disclosure is a program according to any one of the first to eighth aspects, and in addition to the recommended air conditioning equipment, identifies recommended ancillary equipment including an air conditioner, air purifier, circulator, electric fan, or fan that is recommended for installation.
  • This disclosure makes it possible to propose a method for more efficiently achieving the air conditioning performance of recommended air conditioners.
  • the program according to the tenth aspect of the present disclosure is the program according to the ninth aspect, and identifies a recommended installation location for the recommended accessory device based on the spatial information and the installation position.
  • This disclosure makes it possible to propose a method for more efficiently achieving the air conditioning performance of recommended air conditioners.
  • a program according to an eleventh aspect of the present disclosure is a program according to any one of the first to tenth aspects, comprising: inputting the spatial information, the installation position, and performance of candidate air-conditioning equipment that is a candidate for the recommended air-conditioning equipment into a simulator; The recommended air conditioning equipment is identified based on the temperature, humidity, or airflow conditions in the space obtained from the simulator.
  • the program according to the twelfth aspect of the present disclosure is a program according to any one of the first to tenth aspects, in which the spatial information and the installation location are input to a learning model that has been trained to output the recommended air conditioner when the spatial information and the installation location are input, and the recommended air conditioner is output.
  • the program according to the thirteenth aspect of the present disclosure is a program according to any one of the first to twelfth aspects, which selectably outputs a group of icons including icons indicating a plurality of mutually different spatial shapes that indicate the shape of the space, outputs a plan view of the space corresponding to the selected spatial shape, accepts input of the installation position of the air conditioning device on the output plan view, and outputs an icon of the air conditioning device at the accepted installation position.
  • the present disclosure makes it possible for users to more easily input spatial information.
  • the program according to the fourteenth aspect of the present disclosure is a program according to any one of the first to thirteenth aspects, which acquires a photographed image of the space, estimates the spatial information including the shape and volume of the space based on the acquired photographed image, and identifies the recommended air-conditioning equipment based on the estimated spatial information and the installation position.
  • the program according to the fifteenth aspect of the present disclosure is the program according to the fourteenth aspect, which outputs possible installation positions of the air conditioner within the captured image, accepts input of the installation position within the possible installation positions, and identifies the recommended air conditioner based on the estimated spatial information and the accepted input of the installation position.
  • This disclosure makes it easier for users to input the installation location of air conditioners.
  • the program according to the sixteenth aspect of the present disclosure is a program according to any one of the first to fifteenth aspects, which acquires a captured image of the space and displays an AR virtual object of the identified recommended air conditioning device within the captured image.
  • the program according to the seventeenth aspect of the present disclosure is a program according to any one of the first to sixteenth aspects, which evaluates the comfort in the space when candidate air-conditioning equipment that is a candidate for the recommended air-conditioning equipment is installed in the space based on the spatial information and the installation position, and identifies the recommended air-conditioning equipment from among the candidate air-conditioning equipment based on the evaluated comfort.
  • An information processing method acquires spatial information of a space in which an air conditioner is to be installed, acquires the installation position of the air conditioner in the space, and identifies a recommended air conditioner based on the spatial information and the installation position.
  • An information processing device includes a control unit that acquires spatial information about a space in which an air conditioner is to be installed, acquires the installation position of the air conditioner in the space, and identifies a recommended air conditioner based on the spatial information and the installation position.
  • the program according to one aspect of the present disclosure can suggest a model of air conditioner based on where the user wants to install the equipment.
  • FIG. 1 is an explanatory diagram showing a configuration of an air conditioner recommendation system according to a first embodiment.
  • FIG. 1 is a block diagram showing an example of the configuration of an information processing device according to a first embodiment
  • FIG. 2 is a block diagram showing a configuration example of a user terminal according to the first embodiment.
  • 11 is an explanatory diagram showing an example of an input reception screen for spatial information and an installation position in a user terminal.
  • FIG. 11 is an explanatory diagram showing an example of an input reception screen for spatial information and an installation position in a user terminal.
  • FIG. FIG. 13 is an explanatory diagram showing an example of a recommended air conditioning equipment output screen.
  • FIG. 4 is an explanatory diagram illustrating an example of an air conditioning equipment table.
  • FIG. 13 is a flowchart illustrating an example of a required ability calculation process.
  • FIG. 13 is an explanatory diagram illustrating an example of an estimated load table.
  • 6 is a flowchart illustrating an example of processing by a control unit of the information processing device according to the first embodiment.
  • FIG. 11 is an explanatory diagram illustrating an example of a required function table.
  • FIG. 13 is an explanatory diagram illustrating an example of a reason table.
  • FIG. 11 is a block diagram showing an example of the configuration of an information processing device according to a second embodiment.
  • FIG. 2 is an explanatory diagram showing an example of an air conditioner recommendation model.
  • 10 is a flowchart illustrating an example of processing by a control unit of an information processing device according to a second embodiment.
  • FIG. 11 is a block diagram showing an example of the configuration of an information processing device according to a third embodiment.
  • FIG. 13 is an explanatory diagram illustrating an example of an auxiliary device table.
  • FIG. 13 is an explanatory diagram showing an example of a recommended accessory device display screen.
  • 13 is a flowchart illustrating an example of processing by a control unit of an information processing device according to a third embodiment.
  • FIG. 13 is a block diagram showing an example of the configuration of an information processing device according to a fourth embodiment.
  • 13 is a flowchart illustrating an example of processing by a control unit of an information processing device according to a fourth embodiment.
  • FIG. 13 is a block diagram showing an example of the configuration of an information processing device according to a fifth embodiment.
  • FIG. 13 is a block diagram showing a configuration example of a user terminal according to a fifth embodiment.
  • FIG. 2 is an explanatory diagram showing an example of a captured image.
  • FIG. 2 is an explanatory diagram illustrating an example of an object detection model.
  • FIG. 13 is an explanatory diagram showing an example of an installation position input reception screen according to the fifth embodiment.
  • 13 is a flowchart illustrating an example of processing by a control unit of an information processing device according to embodiment 5.
  • FIG. 23 is a block diagram showing an example of the configuration of a user terminal according to the sixth embodiment.
  • FIG. 23 is an explanatory diagram showing an example of an air conditioning equipment table according to the sixth embodiment.
  • FIG. 13 is an explanatory diagram illustrating an AR display of an air conditioner.
  • FIG. 1 is an explanatory diagram showing the configuration of an air conditioner recommendation system S according to the first embodiment.
  • the air conditioner recommendation system S includes an information processing device 1 and a user terminal 2.
  • the information processing device 1 can communicate with the user terminal 2 via a network N using wide-area wireless communication.
  • the user terminal 2 is a terminal owned by a user who is considering purchasing or leasing an air conditioner, and accepts input of spatial information related to a space (room) in which the user wishes to install the air conditioner, and a position (installation position) in which the user wishes to install the air conditioner in the space.
  • the user terminal 2 transmits the received spatial information and installation position to the information processing device 1 via the network N.
  • the information processing device 1 which has received the spatial information and installation position, identifies a recommended air conditioner that is recommended to the user for purchase or lease based on the received spatial information and installation position, and transmits information related to the identified recommended air conditioner to the user terminal 2.
  • the air conditioner refers to an air conditioner.
  • the user terminal 2 may execute part or all of the processing of the information processing device 1 described below.
  • FIG. 2 is a block diagram showing an example of the configuration of the information processing device 1 according to the first embodiment.
  • the information processing device 1 is, for example, a server computer, and includes a control unit 11, a storage unit 12, and a communication unit 13.
  • the control unit 11 is configured with a CPU (Central Processing Unit), an MPU (Micro Processing Unit), a GPU (Graphical Processing Unit), a quantum processor, or the like, and performs various control processes, arithmetic processes, and the like by reading and executing a program P (program product) and a database pre-stored in the storage unit 12.
  • a database server or the like may be provided outside the information processing device 1, and the database may be read from the database server or the like.
  • the information processing device 1 may be one whose functions are realized by multiple server devices or computers.
  • the information processing device 1 may correspond to a node on a blockchain.
  • the memory unit 12 of the information processing device 1 is, for example, a volatile memory and a non-volatile memory.
  • the memory unit 12 stores a program P, an air conditioning equipment table 121, an estimated load table 122, a required function table 123, and a reason table 124.
  • the program P may be provided to the information processing device 1 using a storage medium 12a in which the program P is stored so as to be readable by a computer.
  • the storage medium 12a is, for example, a portable memory. Examples of the portable memory include a CD-ROM, a USB (Universal Serial Bus) memory, an SD card, a micro SD card, or a Compact Flash Memory (registered trademark).
  • the processing element of the control unit 11 may read the program P from the storage medium 12a using a reading device not shown.
  • the read program P is written to the memory unit 12.
  • the program P may be provided to the information processing device 1 by the communication unit 13 communicating with an external device. Details of the air conditioning equipment table 121, estimated load table 122, required function table 123, and reason table 124 will be described later.
  • the communication unit 13 is a communication module or communication interface for communicating with the user terminal 2 by wire or wirelessly, and is, for example, a wide-area wireless communication module such as LTE (registered trademark), 4G, or 5G.
  • the control unit 11 communicates with the user terminal 2 via the communication unit 13 through an external network N such as the Internet.
  • FIG. 3 is a block diagram showing an example of the configuration of the user terminal 2 according to the first embodiment.
  • the user terminal 2 is, for example, a smartphone, a tablet terminal, or a personal computer. In this embodiment, an example in which the user terminal 2 is a smartphone will be described.
  • the user terminal 2 includes a terminal control unit 21, a storage unit 22, a communication unit 23, an input unit 24, and a display unit 25.
  • the terminal control unit 21 is configured with a CPU or an MPU, and performs various control processes, arithmetic processes, and the like.
  • the storage unit 22 stores an application program Pa that accepts input of spatial information and presents recommended air conditioning equipment to the user.
  • the application program Pa is provided to the user terminal 2 using, for example, a storage medium 22a.
  • the terminal control unit 21 of the user terminal 2 may obtain the application program Pa using the Internet and store it in the storage unit 22.
  • the communication unit 23 is a communication module or communication interface for wirelessly communicating with the information processing device 1.
  • the terminal control unit 21 communicates with the information processing device 1 through the external network N via the communication unit 23.
  • the input unit 24 accepts input of spatial information about the room in which the user wishes to install the air conditioner, and the location (installation location) in the room in which the user wishes to install the air conditioner.
  • the display unit 25 displays an input reception screen that receives input of spatial information and installation positions, and a recommendation screen that displays information about recommended air-conditioning equipment received from the information processing device 1.
  • the user terminal 2 is a smartphone, and the input unit 24 and display unit 25 are integrated into a touch panel.
  • the control unit 11 receives input of spatial information including the shape of the room, the size of the room, the purpose of the room, the position of the windows, the layout of the room, the direction to the room, the type of building in which the room is located, the position of the room within the building (floor), or the area in which the building is located, and the installation position of the air-conditioning equipment via the input unit 24.
  • FIG. 4 and 5 are explanatory diagrams showing an example of an input reception screen for spatial information and installation position in the user terminal 2.
  • the terminal control unit 21 of the user terminal causes the display unit 25 to display the screen shown in FIG. 4A.
  • the terminal control unit 21 may also cause the display unit 25 to display the screen described below via a web base.
  • FIG. 4A shows an input reception screen for the shape of the room, the size of the room, and the purpose of the room.
  • the terminal control unit 21 of the user terminal 2 outputs a selectable icon group IG including icons indicating a plurality of spatial shapes that are different from each other and indicate the shape of the room on the input reception screen shown in FIG. 4A.
  • the icon group IG includes an elongated room icon, a rectangular room icon, a square room icon, an L-shaped room icon, a trapezoidal room icon, a two-room use icon, and other icons.
  • the terminal control unit 21 may accept the shape of the room by handwriting input via the input unit 24.
  • the terminal control unit 21 also outputs an area input field for accepting input of the size of the room and a purpose selection field for accepting selection of the purpose of the room.
  • the terminal control unit 21 accepts, for example, input of the number of tatami mats in the room in the area input field.
  • the terminal control unit 21 may also accept input of a square meter value.
  • the terminal control unit 21 also accepts the user's selection of purpose from options such as living/dining/kitchen, dining/kitchen, room, bedroom, study, or guest room in the purpose selection field.
  • the terminal control unit 21 accepts the selection of the room shape, input of the room size, and input of the room purpose in FIG. 4A through the input unit 24, and when the "Next" command is selected, causes the display unit 25 to display the input acceptance screen shown in FIG. 4B.
  • FIG. 4B shows an input reception screen that accepts input of the window position in a room.
  • the terminal control unit 21 of the user terminal 2 outputs a plan view of the room corresponding to the shape of the room selected and accepted on the input reception screen shown in FIG. 4A.
  • the terminal control unit 21 allows the user to input the shape of the room by handwriting, and to input the window position by tracing some of the edges of the output plan view.
  • the terminal control unit 21 accepts the input of the window position, and when the "OK" command is selected, causes the display unit 25 to display the installation position input reception screen shown in FIG. 4C.
  • FIG. 4C shows the installation location input reception screen.
  • the terminal control unit 21 of the user terminal 2 outputs a plan view of the room corresponding to the shape of the room selected and received on the input reception screen shown in FIG. 4A. As shown in FIG. 4C, the terminal control unit 21 may also display the window position for which input was received on the input reception screen shown in FIG. 4B.
  • the user can input the installation location of the air conditioning equipment by touching part of the output plan view.
  • the terminal control unit 21 receives input of the installation location of the air conditioning equipment, it causes the display unit 25 to display the input reception screen shown in FIG. 4D.
  • FIG. 4D shows an input reception screen that accepts input of the room layout.
  • the terminal control unit 21 outputs a plan view of the room corresponding to the shape of the room selected and accepted on the input reception screen shown in FIG. 4A.
  • the terminal control unit 21 may also display the window positions inputted on the input reception screen shown in FIG. 4B and the air conditioning equipment installation positions inputted on the installation position input reception screen shown in FIG. 4C.
  • the user can input the position (layout) of an open ceiling or loft by tracing part of the plan view.
  • the terminal control unit 21 accepts the input of the floor plan, and when the "OK" command is selected, causes the display unit 25 to display the input reception screen shown in FIG. 5A.
  • FIG. 5A shows an input reception screen that accepts input of the direction of the room.
  • the terminal control unit 21 outputs a plan view of the room corresponding to the shape of the room selected on the input reception screen shown in FIG. 4A.
  • the terminal control unit 21 may display the window position input on the input reception screen shown in FIG. 4B and the installation position of the air conditioner input on the installation position input reception screen shown in FIG. 4C.
  • the terminal control unit 21 may output, for example, icons showing 16 directions, with one direction selectable. The user can select the direction corresponding to the north direction from the 16 direction icons.
  • the terminal control unit 21 may accept the selection of the direction corresponding to the south direction, for example. When one direction is selected and the terminal control unit 21 accepts input of the direction of the room and the "OK" command is selected, the terminal control unit 21 displays the input reception screen shown in FIG. 5B on the display unit 25.
  • FIG. 5B is an input reception screen that accepts input of the type of building in which the room is located, the location (floor) of the room within the building, and the area in which the building is located.
  • the terminal control unit 21 outputs a type input field that accepts input of the type of building, a floor input field that accepts input of the floor number of the room, and an area input field that accepts input of the area in which the building is located.
  • the type input field and area input field are displayed in a manner that allows the user to select from multiple options and enter an input.
  • the area input field may also accept input of a postal code.
  • the terminal control unit 21 transmits the spatial information and installation position input accepted on the input reception screens shown in FIGS. 4 and 5 to the information processing device.
  • FIG. 6 is an explanatory diagram showing an example of a recommended air conditioning equipment output screen.
  • the control unit 11 of the information processing device 1 receives (acquires) space information and an installation location from the user terminal, it identifies a recommended air conditioning equipment that is recommended to be installed by the user based on the acquired space information and installation location. A detailed method for identifying a recommended air conditioning equipment will be described later.
  • the control unit 11 transmits information on the identified recommended air conditioning equipment to the user terminal 2.
  • the user terminal 2 receives (acquires) information on the recommended air conditioning equipment, it displays the acquired information on the recommended air conditioning equipment on the recommended air conditioning equipment output screen. Specifically, as shown in FIG.
  • the external view of the recommended air conditioning equipment, the model name, the selling price, and the reason for identifying the recommended air conditioning equipment (reason for recommendation) are displayed on the recommended air conditioning equipment output screen. Note that multiple air conditioning equipment may be output as recommended air conditioning equipment on the recommended air conditioning equipment output screen in order of the degree of recommendation.
  • the air conditioning equipment table 121 stores the performance of candidate air conditioning equipment that is a candidate for a recommended air conditioning equipment.
  • the management items (fields) of the air conditioning equipment table 121 include, for example, a model name field, a sales price field, a capacity field, an airflow reach distance field, an up-down airflow diffusion angle field, a left-right airflow diffusion angle field, a circulation airflow field, a temperature sensing function field, and a human detection function field.
  • the model name field stores the model name of the air conditioning equipment.
  • the sales price field stores the sales price of the air conditioning equipment.
  • the capacity field stores the air conditioning capacity of the air conditioning equipment.
  • the air conditioning capacity indicates the amount of heat that the air conditioning equipment can remove from or add to a space per unit time.
  • the airflow reach field stores the distance that the air conditioning equipment can reach with the airflow.
  • the up-down airflow diffusion angle field stores the up-down angle at which the air conditioning equipment can diffuse the airflow.
  • the left/right airflow diffusion angle field stores the left/right angle at which the air conditioner can diffuse the airflow.
  • the circulation airflow field stores the presence or absence of a circulation airflow control function of the air conditioner. Circulation airflow control is a control that causes the airflow to flow around the wall or ceiling.
  • the temperature sensing function field stores the presence or absence of a temperature sensing function.
  • the temperature sensing function is a function that detects temperature unevenness in a space.
  • the human detection function field stores the presence or absence of a human detection function of the air conditioner.
  • the human detection function is a function that detects people in a space and is a function for changing the airflow control according to the position or movement of the person in the space.
  • the human detection function is realized, for example, by a Doppler sensor or image processing. It should be noted that the human detection function may also be realized by temperature sensing.
  • the control unit 11 of the information processing device 1 identifies the recommended air conditioning equipment from among the candidate air conditioning equipment, which are the air conditioning equipment stored in the air conditioning equipment table 121 and are candidates for the recommended air conditioning equipment.
  • FIG 8 is a flowchart showing an example of the required capacity calculation process.
  • Figure 9 is an explanatory diagram showing an example of the estimated load table 122.
  • the control unit 11 of the information processing device 1 acquires spatial information from the user terminal 2 (S1).
  • the control unit 11 refers to the estimated load table 122 and identifies the approximate load of the room based on the room's purpose and the room's position (floor) in the building included in the spatial information (S2).
  • the management items (fields) of the estimated load table 122 include, for example, a purpose field, a floor field, and an approximate load field.
  • the purpose field stores the purpose of the room.
  • the floor field stores the floor on which the room is located.
  • the approximate load field stores the approximate heat load per m2. For example, if the purpose is living/dining/kitchen area and the floor is the top floor, the control unit identifies the approximate load as 140 W/m2.
  • the control unit 11 multiplies the estimated load by the size of the room to calculate the thermal load of the room (S3). For example, the control unit 11 performs the multiplication assuming that one tatami mat is 2 m2.
  • the control unit 11 determines whether the type of building is a highly airtight and highly insulated house (S4), and if it is a highly airtight and highly insulated house (S4: YES), the control unit 11 corrects the thermal load calculated in S3 by multiplying it by 0.8 (S5). If it is not a highly airtight and highly insulated house (S4: NO), the control unit 11 corrects the thermal load by multiplying it by 1.0 (S6).
  • the control unit 11 determines whether the window is located in the south direction based on the window position and the direction to the room included in the spatial information (S7). If the window is located on the south side (S7: YES), the control unit 11 corrects the corrected thermal load in S5 or S6 by multiplying it by 1.2 (S8). If the window is not on the south side, the control unit 11 corrects the corrected thermal load in S5 or S6 by multiplying it by 1.0 (S9). The control unit 11 determines the thermal load corrected in S8 or S9 as the air conditioning capacity required for the recommended air conditioner (S10) and ends the process.
  • FIG. 10 is a flowchart showing an example of the processing of the control unit 11 of the information processing device 1 according to the first embodiment.
  • FIG. 11 is an explanatory diagram showing an example of a required function table 123.
  • FIG. 12 is an explanatory diagram showing an example of a reason table 124.
  • the control unit 11 of the information processing device 1 starts the following processing when the spatial information and the installation position are transmitted from the user terminal 2.
  • the control unit 11 acquires the spatial information and the installation position from the user terminal 2 (S11). Based on the spatial information, the control unit 11 calculates the air conditioning capacity of the air conditioning equipment required for the room in which the user wishes to install the air conditioning equipment by the method shown in FIG. 8 (S12).
  • the control unit 11 refers to the air conditioning equipment table 121 and extracts candidate air conditioning equipment having an air conditioning capacity equal to or greater than the air conditioning capacity calculated in S12 (S13). All candidate air conditioning equipment stored in the air conditioning equipment table 121 are set as first candidate air conditioning equipment, and the candidate air conditioning equipment extracted in S13 is set as second candidate air conditioning equipment.
  • the control unit 11 calculates the distance from the installation position of the air conditioning equipment to the farthest point in the room and the left and right angles based on the size and shape of the room included in the spatial information and the installation position (S14).
  • the control unit 11 extracts candidate air conditioning equipment (third candidate air conditioning equipment) that has an airflow reach distance equal to or greater than the distance calculated in S14 and whose left and right airflow diffusion angle includes the left and right angle calculated in S14 from the second candidate air conditioning equipment (S15).
  • the control unit 11 may extract candidate air conditioning equipment whose airflow reach distance or left and right airflow diffusion angle meets the conditions.
  • the control unit 11 may also calculate the proportion of the area inside the room that the airflow reaches based on the spatial information, the installation position, the airflow reach distance, and the left and right airflow diffusion angle, and extract candidate air conditioning equipment whose proportion is equal to or exceeds a certain value.
  • the control unit 11 Based on the shape of the room and the purpose of the room included in the spatial information, the control unit 11 refers to the necessary function table 123 (see FIG. 11) to identify the functions required for the recommended air conditioner (S16).
  • the management items (fields) of the necessary function table 123 include, for example, a function field and a recommended condition field.
  • the function field stores functions that may be required for the recommended air conditioner.
  • the recommended condition field stores the spatial information conditions for which each function is required for the recommended air conditioner. If multiple conditions are stored in the recommended condition field, each condition is an OR condition. For example, if there is a blind spot from the air conditioner inside the room, or if there is an open ceiling or loft, the control unit 11 identifies the circulation airflow function as the required function.
  • the control unit 11 identifies the temperature sensing function as the required function. If the purpose of the room is a purpose in which the location of people is limited (predetermined purpose), such as a kitchen or bedroom, the control unit 11 identifies the human detection function as the required function. Note that multiple functions may be identified as necessary functions. Furthermore, the functions required for the conditions are not limited to these. For example, if the shape of the room is long and narrow, L-shaped, or used by two rooms (predetermined shape), a human detection function may be identified as a necessary function.
  • a temperature sensing function may be identified as a necessary function.
  • the control unit 11 identifies, among the third candidate air conditioners, an air conditioner having the necessary functions identified in S16 as a recommended air conditioner (S17). Note that, if there are multiple applicable third candidate air conditioners, the control unit 11 identifies, among the multiple third candidate air conditioners, the candidate air conditioner with the lowest air conditioning capacity as a recommended air conditioner.
  • the control unit 11 After identifying the recommended air conditioning equipment in S17, the control unit 11 refers to the reason table 124 (see FIG. 12) and selects the reason for identifying the recommended air conditioning equipment to be sent to the user terminal 2 (S18).
  • the management items (fields) of the reason table include, for example, a reason field and a condition field.
  • the reason field stores a template that forms the basis of the reason text to be sent (output) to the user terminal 2.
  • the condition field stores the spatial information conditions for outputting the template stored in the reason field to the user terminal 2.
  • the control unit 11 refers to the reason table 124 and selects a reason that corresponds to the acquired spatial information.
  • the control unit 11 outputs (transmits) the recommended air conditioning equipment and the reason selected in S18 to the user terminal 2 (S19), and ends the process. Note that if multiple reason templates were selected in S18, the control unit 11 transmits a sentence that combines the multiple templates as the reason to the user terminal 2.
  • the above configuration and processing make it possible to identify and output a suitable air conditioner as a recommended air conditioner based on the installation location of the air conditioner desired by the user. In addition, since it is possible to output the reason why the recommended air conditioner was identified, it is possible to increase the user's desire to purchase an air conditioner.
  • the storage unit 12 of the information processing device 1 stores an air conditioner recommendation model M1, which is a learning model that outputs the likelihood that each candidate air conditioner will become a recommended air conditioner when the acquired spatial information and installation location are input.
  • the control unit 11 inputs the spatial information and the installation location into the air conditioner recommendation model M1, and sets the candidate air conditioner with the highest output likelihood as the recommended air conditioner.
  • FIG. 13 is a block diagram showing an example of the configuration of an information processing device 1 according to embodiment 2.
  • the storage unit 12 according to embodiment 2 stores an air conditioner recommendation model M1.
  • the air conditioner recommendation model M1 is read out and used by the control unit 11, and is executed by the control unit 11, which has a calculation processing capacity, to configure the system.
  • FIG. 14 is an explanatory diagram showing an example of the air conditioning equipment recommendation model M1.
  • the air conditioning equipment recommendation model M1 takes spatial information and installation positions as input data and outputs the likelihood that each candidate air conditioning equipment will become a recommended air conditioning equipment.
  • the room shape and window positions, the atrium or loft position (room layout), and the air conditioning equipment installation positions included in the spatial information are input to the air conditioning equipment recommendation model M1 as image data of a planar figure when input is accepted on the screens shown in FIGS. 4B, 4C, and 4D.
  • the room shape and window positions, the atrium or loft position (room layout), and the air conditioning equipment installation positions may also be input to the air conditioning equipment recommendation model M1 using coordinate values in a planar figure.
  • the air conditioning equipment recommendation model M1 is generated by machine learning using, for example, a neural network.
  • machine learning may be performed by methods other than neural networks.
  • various machine learning methods such as LSTM (Long Short Term Memory), Transformer, SVM (Support Vector Machine), decision trees, XGBoost (eXtreme Gradient Boosting), LGBoost (Light Gradient Boosting), or k-nearest neighbors may be adopted.
  • the input layer included in the air conditioning equipment recommendation model M1 has multiple neurons that accept each piece of information included in the spatial information and the installation position, and passes each piece of information included in the input spatial information and the installation position to the middle layer.
  • the middle layer has multiple neurons that extract features of each piece of information included in the spatial information and the installation position, and passes the extracted features to the output layer.
  • the output layer outputs the likelihood that a candidate air conditioning equipment will be a recommended air conditioning equipment based on the features output from the middle layer.
  • the air conditioning equipment recommendation model M1 learns using training data that links the spatial information and installation positions of rooms in which previously purchased air conditioning equipment was installed to the model names of the air conditioning equipment.
  • the control unit 11 of the information processing device 1 outputs the probability that each candidate air conditioner will become a recommended air conditioner using the air conditioner recommendation model M1, and then specifies the candidate air conditioner with the highest probability as the recommended air conditioner, and transmits (outputs) it to the user terminal 2.
  • the control unit 11 since model: B002 has the highest probability, specifies the candidate air conditioner of model: B002 as the recommended air conditioner.
  • the control unit 11 may calculate the contribution of each piece of information included in the spatial information input to the air conditioner recommendation model M1 to specify the information that contributed most to the output probability, and transmit (output) the corresponding information to the user terminal 2 as the reason for specifying the recommended air conditioner.
  • the method of calculating the contribution is not limited, but may use, for example, SHAP (SHapley Additive exPlanation), LIME (Local Interpretable Model-Agnostic Explanations), or an Attention mechanism.
  • SHAP SHapley Additive exPlanation
  • LIME Lical Interpretable Model-Agnostic Explanations
  • Attention mechanism an Attention mechanism. The greater the contribution of the information, the greater the influence on the output of the probability.
  • FIG. 15 is a flowchart showing an example of processing by the control unit 11 of the information processing device 1 according to the second embodiment.
  • the control unit 11 acquires spatial information and installation positions from the user terminal 2 (S21).
  • the control unit 11 inputs the spatial information and installation positions into the air conditioning equipment recommendation model M1 (S22).
  • the control unit 11 outputs the probability that each candidate air conditioning equipment will become a recommended air conditioning equipment (S23).
  • the control unit 11 identifies the candidate air conditioning equipment with the highest probability as the recommended air conditioning equipment (S24).
  • the control unit 11 transmits (outputs) the recommended air conditioning equipment identified in S24 to the user terminal 2 (S25) and ends the processing.
  • the control unit 11 of the information processing device 1 When identifying a recommended air conditioner, the control unit 11 of the information processing device 1 according to the third embodiment identifies, for the user, auxiliary equipment for supporting the recommended air conditioner based on the spatial information, and sets the auxiliary equipment as the recommended auxiliary equipment.
  • the auxiliary equipment includes, for example, an air conditioner, an air purifier, a circulator, an electric fan, or a fan.
  • the control unit 11 also identifies a recommended installation position of the recommended auxiliary equipment based on the spatial information and the installation position.
  • FIG. 16 is a block diagram showing an example of the configuration of an information processing device 1 according to embodiment 3.
  • the storage unit 12 of the information processing device 1 according to embodiment 3 stores an accessory device table 125.
  • FIG. 17 is an explanatory diagram showing an example of the auxiliary equipment table 125.
  • the management items (fields) of the auxiliary equipment table 125 include an auxiliary equipment name field, a recommended condition field, and an installation location condition field.
  • the auxiliary equipment name field stores the product name of a candidate auxiliary equipment that is a candidate for a recommended auxiliary equipment.
  • the auxiliary equipment name field may store the model name of the candidate auxiliary equipment.
  • the recommended condition field stores the conditions for identifying a candidate auxiliary equipment as a recommended auxiliary equipment. In this embodiment, when there are multiple conditions in the recommended condition field of the auxiliary equipment table 125, each condition is an AND condition.
  • the installation location condition field stores the conditions of the location where the candidate auxiliary equipment that will become the recommended auxiliary equipment will be installed.
  • the control unit 11 of the information processing device 1 refers to the accessory device table 125 and identifies candidate accessory devices that match the conditions stored in the recommended condition field of the spatial information received as input at the user terminal 2 as recommended accessory devices. If the spatial information does not match the conditions of any of the candidate accessory devices, the control unit 11 determines that there is no recommended accessory device. Furthermore, based on the shape of the room included in the spatial information and the installation position of the air conditioning device, the control unit 11 identifies a location in the plan view showing the shape of the room that matches the conditions stored in the installation location condition field of the accessory device that has become the recommended accessory device as the recommended installation location.
  • FIG. 18 is an explanatory diagram showing an example of a recommended additional equipment display screen.
  • the terminal control unit 21 of the user terminal 2 causes the display unit 25 to display the recommended additional equipment received from the information processing device, as well as a plan view showing the shape of the space in which the installation positions of the air conditioners and the recommended installation locations of the recommended additional equipment are displayed.
  • the terminal control unit 21 causes the display unit 25 to display the name and image of the recommended accessory device on the recommended accessory device display screen.
  • an electric fan is displayed as a recommended accessory device.
  • the terminal control unit 21 outputs, on the recommended accessory device display screen, a floor plan showing the shape of the room for which the selection has been accepted on the input acceptance screen. Furthermore, the terminal control unit 21 displays the recommended installation location on the floor plan based on the coordinates of the recommended installation location received from the information processing device 1. In the example shown in FIG. 18, the recommended installation location is indicated by a star.
  • FIG. 19 is a flowchart showing an example of processing by the control unit 11 of the information processing device 1 according to the third embodiment.
  • the control unit 11 acquires spatial information and the installation positions of the air conditioning equipment from the user terminal 2 (S31).
  • the control unit 11 refers to the accessory table 125 and identifies candidate accessory equipment for which the acquired spatial information matches the conditions stored in the recommended condition field as recommended accessory equipment (S32).
  • the control unit 11 Based on the shape of the room included in the spatial information and the installation positions of the air conditioning equipment, the control unit 11 identifies a location in the plan view showing the shape of the room that matches the conditions stored in the installation location condition field of the accessory equipment that has become the recommended accessory equipment as the recommended installation location (S33).
  • the control unit 11 transmits the recommended accessory equipment and the recommended installation location to the user terminal 2 (S34) and ends the processing.
  • control unit 11 of the information processing device 1 identifies the recommended auxiliary equipment and the recommended installation location by referring to the auxiliary equipment table 125, but the method of identifying the recommended auxiliary equipment and the recommended installation location is not limited to this.
  • the control unit 11 may identify the recommended auxiliary equipment by a learning model that outputs the likelihood that each candidate auxiliary equipment will become a recommended auxiliary equipment when spatial information, information about the recommended air conditioner, or the installation location of the air conditioner is input.
  • the auxiliary equipment may be identified by the air conditioner recommendation model M1.
  • the recommended installation location may also be identified by a learning model that outputs the coordinates of the recommended installation location of the recommended auxiliary equipment in the room when spatial information, the installation location of the air conditioner, information about the recommended air conditioner, or information about the recommended auxiliary equipment is input.
  • the control unit 11 may identify the recommended installation location by generating an image that displays the recommended installation location on a plan view of the room using a learning model capable of generating images such as GAN (Generative Adversarial Networks) or U-NET.
  • the control unit 11 of the information processing device 1 simulates the temperature distribution, humidity distribution, or airflow when each candidate air conditioning device is installed in a room in which a user wishes to install the air conditioning device, based on spatial information, installation locations, and performance of the candidate air conditioning devices, and identifies the candidate air conditioning device that is most suitable as a result of the simulation as the recommended air conditioning device.
  • FIG. 20 is a block diagram showing an example of the configuration of an information processing device 1 according to embodiment 4.
  • the storage unit 12 of the information processing device 1 according to embodiment 4 stores a simulation program Ps (simulator).
  • the simulation program Ps is executed by the control unit 11, and upon receiving input of spatial information, installation positions, and performance of candidate air-conditioning equipment, performs a simulation including temperature distribution analysis, humidity distribution analysis, or airflow analysis.
  • the simulation program Ps may be based on a learning model capable of outputting time-series data such as LSTM as input data.
  • the control unit 11 inputs the spatial information and installation location acquired from the user terminal 2 and the performance of the candidate air conditioning equipment stored in the air conditioning equipment table 121 into the simulation program and outputs the simulation results.
  • the simulation results include temperature distribution analysis results, humidity distribution analysis results, and airflow analysis results.
  • the control unit 11 calculates a temperature distribution deviation indicating the variation in temperature distribution in the room, a humidity distribution deviation indicating the variation in humidity distribution, or an airflow velocity deviation indicating the variation in airflow velocity based on the simulation results.
  • the control unit 11 identifies the candidate air conditioning equipment with the smallest temperature distribution deviation, humidity distribution deviation, or airflow velocity deviation as the recommended air conditioning equipment. Note that the control unit 11 may identify the recommended air conditioning equipment based on all of the temperature distribution deviation, humidity distribution deviation, and airflow velocity deviation.
  • FIG. 21 is a flowchart showing an example of processing by the control unit 11 of the information processing device 1 according to the fourth embodiment.
  • the control unit 11 acquires spatial information and installation positions from the user terminal 2 (S41).
  • the control unit 11 reads out the performance of the candidate air conditioning equipment from the air conditioning equipment table 121 (S42).
  • the control unit 11 inputs the spatial information, installation positions, and performance of the candidate air conditioning equipment into the simulation program Ps (S43) and outputs the simulation results (S44).
  • the control unit 11 calculates the temperature distribution deviation, humidity distribution deviation, or airflow velocity deviation based on the simulation results (S45).
  • the control unit 11 identifies the candidate air conditioning equipment with the smallest temperature distribution deviation, humidity distribution deviation, or airflow velocity deviation as the recommended air conditioning equipment (S46).
  • the control unit 11 transmits (outputs) the recommended air conditioning equipment to the user terminal 2 (S47) and ends the processing.
  • the control unit 11 of the information processing device 1 acquires from the user terminal 2 a captured image of the interior of a room (space) in which a user desires to install an air conditioner, and estimates the shape, size, purpose, window position, and layout of the room based on the acquired captured image.
  • the control unit 11 identifies recommended air conditioners based on the estimated shape, size, purpose, window position, and layout of the room (spatial information).
  • FIG. 22 is a block diagram showing an example of the configuration of an information processing device 1 according to embodiment 5.
  • the storage unit 12 of the information processing device 1 according to embodiment 5 stores an object detection model M4. Details of the object detection model M4 will be described later.
  • FIG. 23 is a block diagram showing an example of the configuration of a user terminal 2 according to embodiment 5.
  • the user terminal 2 according to embodiment 5 includes a photographing unit 26.
  • the photographing unit 26 is a camera built into the smartphone.
  • FIG. 24 is an explanatory diagram showing an example of a captured image.
  • the user terminal 2 captures an image of the interior of a room through user operation and transmits it to the information processing device 1. It is desirable for the captured image to capture as wide an area of the interior of the room as possible. Note that the user terminal 2 may capture multiple images of one room and transmit them to the information processing device 1.
  • the object detection model M4 is a learning model that detects objects contained in a captured image, such as RCNN (Regions with Convolutional Neural Network), Fast RCNN, Faster RCNN, SSD (Single Shot Multibook Detector), or YOLO (You Only Look Once).
  • RCNN Registered with Convolutional Neural Network
  • the object detection model M4 has a plurality of neurons that accept input of pixel values of the captured image, and passes the input pixel values to the intermediate layer.
  • the intermediate layer has a plurality of neurons that extract image features of the captured image, and passes the extracted image features to the output layer.
  • the output layer outputs the positions of room corners, equipment such as a kitchen, objects such as furniture, and windows in the captured image based on the image features.
  • the control unit 11 of the information processing device 1 estimates the shape of the room based on the positions of the corners of the room output by the object detection model M4.
  • the control unit 11 may estimate the shape of the room based on distances in the room measured by a function such as Lidar (Light Detection And Ranging) or an infrared sensor provided in the user terminal, or mapping by SLAM (Simultaneous Localization and Mapping) technology.
  • the control unit 11 also estimates the size, purpose, and layout of the room based on the positions of the equipment and objects. Furthermore, the control unit 11 estimates the positions of windows in the room based on the positions of the windows in the captured image.
  • the control unit 11 of the information processing device 1 also identifies possible installation positions where air conditioning equipment can be installed based on the positions of the corners of the room and the windows in the captured image. Specifically, the control unit 11 identifies a plane on the wall surface on which there is no window of a certain area or more as a possible installation position. The control unit 11 may also identify a location where an outlet for the air conditioner is present as a possible installation position.
  • FIG. 26 is an explanatory diagram showing an example of an installation position input reception screen according to embodiment 5.
  • the control unit 11 of the information processing device 1 transmits the identified possible installation positions to the user terminal 2.
  • the terminal control unit 21 of the user terminal 2 causes the display unit 25 to display the captured image, and also causes the possible installation positions acquired from the information processing device 1 to be displayed on the captured image.
  • FIG. 26A shows the possible installation position display screen.
  • the possible installation positions are indicated by, for example, diagonal lines as shown in FIG. 26A.
  • FIG. 26B shows the installation position display screen.
  • the installation position is input by, for example, tracing around the position where the user wishes to install the air conditioner, as shown in FIG. 26B.
  • the terminal control unit 21 of the user terminal 2 causes the photographing unit 26 to photograph an image of the interior of the room (S51) and transmits the photographed image (photographed image) to the information processing device 1 (S52).
  • the control unit 11 of the information processing device 1 acquires (receives) the photographed image of the interior of the room from the user terminal 2 (S53).
  • the control unit 11 inputs the photographed image to the object detection model M4 (S54) and outputs the positions of the corners of the room, equipment, objects, and windows in the photographed image (S55).
  • the control unit 11 estimates the volume, size of the room, purpose of the room, shape of the room (plan view of the room), and layout of the room based on the positions of the corners of the room, equipment, and objects in the photographed image output in S55 (S56).
  • the control unit 11 estimates the positions of the windows in the plan view of the room based on the positions of the windows in the photographed image (S57).
  • the control unit 11 identifies possible installation positions in the captured image where the air conditioner can be installed based on the positions of the corners and windows of the room (S58).
  • the control unit 11 transmits (outputs) the possible installation positions of the air conditioner identified in S58 to the user terminal 2 (S59).
  • the terminal control unit 21 of the user terminal 2 acquires (receives) the possible installation positions from the information processing device 1 (S60) and causes the display unit 25 to display the possible installation positions on the captured image (S61).
  • the terminal control unit 21 accepts input of the installation positions of the air conditioner in the captured image from the user (S62) and transmits the installation positions in the captured image that have been accepted to the information processing device 1 (S63).
  • the control unit 11 of the information processing device 1 receives the installation positions in the captured image from the user terminal 2 (S64).
  • the control unit 11 estimates the installation positions in the plan view of the room based on the installation positions in the captured image (S65).
  • the control unit 11 inputs the spatial information estimated in S56 and S57 and the installation position in the plan view of the room estimated in S65 to the air conditioner recommendation model M1 in the same manner as in the second embodiment (S66).
  • the spatial information input to the air conditioner recommendation model M1 in this embodiment includes the volume of the room.
  • the control unit 11 outputs the probability that each candidate air conditioner will become a recommended air conditioner (S67), and specifies the candidate air conditioner with the highest probability as the recommended air conditioner (S68).
  • the control unit 11 transmits the specified recommended air conditioner to the user terminal 2 (S69), and ends the process.
  • the terminal control unit 21 of the user terminal 2 acquires (receives) the recommended air conditioner from the information processing device 1 (S70), and displays the received recommended air conditioner on the display unit 25 (S71), and ends the process.
  • the control unit 11 may display the recommended air conditioner on the display unit 25 by displaying an AR image of the air conditioner described later on the captured image. Additionally, an AR image of the accessory device described in embodiment 3 may be displayed on the captured image.
  • the control unit 11 of the information processing device 1 transmits three-dimensional image data of the recommended air conditioning equipment to the user terminal 2.
  • the user terminal 2 displays the three-dimensional image data of the recommended air conditioning equipment in AR (Augmented Reality) on the image captured by the imaging unit 26, providing the user with an image of what the recommended air conditioning equipment will look like when installed in a room.
  • AR Augmented Reality
  • FIG. 28 is a block diagram showing an example of the configuration of a user terminal 2 according to the sixth embodiment.
  • the user terminal 2 according to the sixth embodiment includes a photographing unit 26, similar to the user terminal 2 according to the fifth embodiment.
  • FIG. 29 is an explanatory diagram showing an example of an air conditioning equipment table 121 according to embodiment 6.
  • the air conditioning equipment table 121 according to embodiment 6 includes a three-dimensional image data field.
  • three-dimensional image data field three-dimensional image data showing the external appearance of the air conditioning equipment is stored, for example, in a file format.
  • control unit 11 of the information processing device 1 After identifying the recommended air conditioners using the method shown in embodiment 1, 2, or 4, the control unit 11 of the information processing device 1 transmits three-dimensional image data of the recommended air conditioners to the user terminal 2.
  • FIG. 30 is an explanatory diagram explaining the AR display of air conditioning equipment.
  • FIG. 30A shows a display screen of an image captured by the image capturing unit 26.
  • the terminal control unit 21 of the user terminal 2 causes the display unit 25 to display an image of the interior of the room captured by the image capturing unit 26.
  • the input unit 24 accepts input of the installation position where the user wishes to install the air conditioning equipment on the screen shown in FIG. 30A.
  • Fig. 30B shows the installation location display screen.
  • the terminal control unit 21 causes the display unit 25 to display the installation location input by the input unit 24 on the screen shown in Fig. 30A on the captured image.
  • the installation location is input by, for example, tracing the location where the user wants to install the air conditioner, as shown in Fig. 30B.
  • the terminal control unit 21 also causes the display unit 25 to display a command to instruct AR display.
  • Fig. 30C shows an AR display screen of the recommended air conditioning equipment.
  • the terminal control unit 21 of the user terminal 2 causes the display unit 25 to display a three-dimensional image of the recommended air conditioning equipment at the installation position within the captured image, based on the three-dimensional image data of the recommended air conditioning equipment acquired from the information processing device 1.
  • the control unit 11 of the information processing device 1 extracts candidate air conditioners based on spatial information and position information, and evaluates the comfort (e.g., discomfort index) of the space when each of the extracted candidate air conditioners is installed using a simulation program.
  • the control unit 11 extracts recommended air conditioners from the candidate air conditioners based on the evaluated comfort.
  • FIG. 31 is a block diagram showing an example of the configuration of an information processing device 1 according to embodiment 7.
  • the storage unit 12 of the information processing device 1 according to embodiment 4 stores a simulation program Ps (simulator).
  • FIG. 32 is a flowchart showing an example of processing by the control unit 11 of the information processing device 1 according to the seventh embodiment.
  • the control unit 11 acquires space information and installation positions from the user terminal 2 (S81).
  • the control unit 11 reads out the performance of the candidate air conditioners from the air conditioner table 121 (S82).
  • the control unit 11 inputs the space information, installation positions, and performance of the candidate air conditioners into the simulation program Ps (S83) and outputs the simulation results (S84). Based on the simulation results, the control unit 11 calculates the estimated temperature and estimated humidity at the farthest point from the installation position of the air conditioner in the space in which it is installed, after a predetermined time has elapsed since the start of air conditioning (S85).
  • the control unit 11 calculates an estimated discomfort index based on the calculated estimated temperature and estimated humidity (S86).
  • the control unit 11 specifies, from the candidate air conditioners, an air conditioner whose estimated discomfort index is less than a predetermined value as a recommended air conditioner (S87).
  • the control unit 11 transmits (outputs) the recommended air conditioner to the user terminal 2 (S88) and ends the process.
  • the control unit 11 may calculate the average estimated temperature and average estimated humidity in the space in which the air conditioners are installed based on the simulation results, and calculate the estimated discomfort index based on the average estimated temperature and average estimated humidity.
  • the control unit 11 may also calculate the estimated discomfort index in the space in which the air conditioners are installed based on test data related to the temperature distribution or humidity distribution actually measured in the test space of each air conditioner.
  • the control unit 11 may calculate the percentage of the area in the space that the airflow of the air conditioner reaches based on the simulation results, and evaluate the comfort of each candidate air conditioner based on the calculated percentage of the area that the airflow reaches.
  • the control unit 11 may also evaluate the comfort based on functions including the presence or absence of an infrared temperature sensor equipped in the air conditioner.
  • the control unit 11 may evaluate the overall comfort when each candidate air conditioner is installed in the space based on multiple comforts among a first comfort evaluated based on the estimated temperature and estimated humidity for each candidate air conditioner, a second comfort evaluated based on the percentage of the area that the airflow reaches, and a third comfort evaluated based on functions.
  • the recommended air conditioner display screen may also display the labor costs for installing the recommended air conditioner or the delivery time until the installation is completed.
  • Spatial information may include the type and location of ventilation fans or the location of vents in a room (space).
  • Control unit 12 Storage unit 12a Storage medium 13 Communication unit 2 User terminal 21 Terminal control unit 23 Communication unit 24 Input unit 25 Display unit 26
  • Photography unit 121 Air conditioning equipment table 123 Required function table 124 Reason table 125 Accessory equipment table M1 Air conditioning equipment recommendation model M2 Accessory equipment recommendation model M3 Recommended installation location specification model M4 Object detection model N Network P Program Pa Application program Ps Simulation program S Air conditioning equipment recommendation system

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Abstract

A program according to a first embodiment of the present disclosure causes a computer to execute a process for acquiring space information regarding a space in which an air conditioner is to be installed, acquiring an installation location of the air conditioner in the space, and specifying a recommended air conditioner on the basis of the space information and the installation location. The present disclosure makes it possible to suggest a type of air conditioner that is suitable for the space in which a user would like to install an air conditioner and for the installation location in the space.

Description

プログラム、情報処理方法、及び情報処理装置PROGRAM, INFORMATION PROCESSING METHOD, AND INFORMATION PROCESSING APPARATUS
　本技術は、プログラム、情報処理方法、及び情報処理装置に関する。 This technology relates to a program, an information processing method, and an information processing device.
　従来、ユーザが空調機（空調機器）を購入する際の機種の選定を支援するシステムが提案されている。例えば、特許文献１に記載のシステムは、入力された設置室（空間）情報に基づいて好適機種と、設置好適位置情報とを出力する。 　Conventionally, systems have been proposed that assist users in selecting the model of air conditioner (air conditioning equipment) they are purchasing. For example, the system described in Patent Document 1 outputs information on the suitable model and the suitable installation location based on inputted information on the room (space) in which the unit will be installed.
特開２００２－１５００５１号公報JP 2002-150051 A
　特許文献１に記載のシステムは、ユーザが空調機器の設置を希望する箇所に基づいて機種の提案がなされない。 The system described in Patent Document 1 does not suggest models based on where the user wants to install the air conditioner.
　本開示の目的は、ユーザが空調機器の設置を希望する箇所に基づく機種の提案が可能であるプログラム等を提供することである。 The purpose of this disclosure is to provide a program etc. that can suggest models based on the location where the user wants to install the air conditioner.
　本開示の第１の態様に係るプログラムは、空調機器を設置する空間の空間情報を取得し、前記空調機器の前記空間における設置位置を取得し、前記空間情報及び前記設置位置に基づき、推奨空調機器を特定する処理をコンピュータに実行させる。 The program according to the first aspect of the present disclosure causes a computer to execute a process of acquiring spatial information of a space in which an air conditioner is to be installed, acquiring the installation position of the air conditioner in the space, and identifying a recommended air conditioner based on the spatial information and the installation position.
　本開示によれば、ユーザが空調機器の設置を希望する空間及び空間における設置位置に対して好適な空調機器の機種を提案することが可能である。 According to this disclosure, it is possible to suggest a model of air conditioning equipment that is suitable for the space in which the user wishes to install the air conditioning equipment and the installation location within that space.
　本開示の第２の態様に係るプログラムは、第１の態様に係るプログラムであって、前記空間情報は、前記空間の形状に関する情報を含む。 The program according to the second aspect of the present disclosure is the program according to the first aspect, in which the spatial information includes information about the shape of the space.
　本開示によれば、空間の形状に対して好適な空調機器の機種を提案することが可能である。 This disclosure makes it possible to propose a model of air conditioning equipment that is best suited to the shape of the space.
　本開示の第３の態様に係るプログラムは、第１の態様または第２の態様に係るプログラムであって、前記空間情報は、前記空間における窓の位置、前記空間の広さ、前記空間の間取り、前記空間を備える建物が存在する地域、前記建物の種類、または前記建物内における前記空間の位置に関する情報を含む。 The program according to the third aspect of the present disclosure is the program according to the first or second aspect, and the spatial information includes information regarding the position of a window in the space, the size of the space, the layout of the space, the area in which a building that includes the space is located, the type of the building, or the position of the space within the building.
　本開示によれば、前記空間における窓の位置、前記空間の広さ、前記空間の間取り、前記空間を備える建物が存在する地域、前記建物の種類、または前記建物内における前記空間の位置に対して好適な空調機器の機種を提案することが可能である。 According to the present disclosure, it is possible to propose a model of air conditioning equipment that is suitable for the position of the window in the space, the size of the space, the layout of the space, the area in which the building that contains the space is located, the type of the building, or the position of the space within the building.
　本開示の第４の態様に係るプログラムは、第１～第３の態様のいずれか１つに係るプログラムであって、前記空間情報は、前記空間の用途に関する情報を含む。 The program according to the fourth aspect of the present disclosure is a program according to any one of the first to third aspects, in which the spatial information includes information regarding the use of the space.
　本開示によれば、空間の用途に対して好適な空調機器の機種を提案することが可能である。 This disclosure makes it possible to propose a model of air conditioning equipment that is suitable for the intended use of the space.
　本開示の第５の態様に係るプログラムは、第１～第４の態様のいずれか１つに係るプログラムであって、前記空間情報、前記設置位置、及び前記推奨空調機器の候補となる候補空調機器の気流性能に基づき、前記候補空調機器の中から前記推奨空調機器を特定する。 The program according to the fifth aspect of the present disclosure is a program according to any one of the first to fourth aspects, and identifies the recommended air conditioning equipment from among the candidate air conditioning equipment based on the spatial information, the installation position, and the airflow performance of the candidate air conditioning equipment that is a candidate for the recommended air conditioning equipment.
　本開示によれば、ユーザが空調機器の設置を希望する空間及び空間における設置位置に対して適切な性能を有する空調機器の機種を提案することが可能である。 According to this disclosure, it is possible to propose a model of air conditioning equipment that has appropriate performance for the space in which the user wishes to install the air conditioning equipment and the installation location within that space.
　本開示の第６の態様に係るプログラムは、第１～第５の態様のいずれか１つに係るプログラムであって、前記推奨空調機器を特定した理由を出力する。 The program according to the sixth aspect of the present disclosure is a program according to any one of the first to fifth aspects, and outputs the reason why the recommended air conditioner was identified.
　本開示によれば、推奨空調機器に対するユーザの納得度を高め、購買意欲を高めることが可能である。 This disclosure makes it possible to increase users' satisfaction with the recommended air conditioners and increase their willingness to purchase them.
　本開示の第７の態様に係るプログラムは、第１～第６の態様のいずれか１つに係るプログラムであって、前記空間の形状が所定形状である場合、温度センシング機能または人検知機能を有する前記推奨空調機器を特定する。 The program according to the seventh aspect of the present disclosure is a program according to any one of the first to sixth aspects, and if the shape of the space is a predetermined shape, identifies the recommended air conditioning equipment that has a temperature sensing function or a human detection function.
　本開示によれば、空間の形状が、空調機器の気流が届き難い箇所を有する形状である場合に、より効果的に空調を行える空調機器の機種を提案することが可能である。 According to this disclosure, it is possible to propose a model of air conditioning equipment that can provide more effective air conditioning when the shape of the space has areas that are difficult for the airflow from the air conditioning equipment to reach.
　本開示の第８の態様に係るプログラムは、第１～第７の態様のいずれか１つに係るプログラムであって、前記空間の用途が所定用途である場合、温度センシング機能または人検知機能を有する前記推奨空調機器を特定する。 The program according to the eighth aspect of the present disclosure is a program according to any one of the first to seventh aspects, and if the use of the space is a predetermined use, identifies the recommended air conditioning equipment that has a temperature sensing function or a human detection function.
　本開示によれば、空間の用途が、ユーザの所在場所が限られる用途である場合に、より効果的に空調を行える空調機器の機種を提案することが可能である。 According to the present disclosure, it is possible to propose a model of air conditioning equipment that can provide more effective air conditioning when the use of the space is such that the location of the user is limited.
　本開示の第９の態様に係るプログラムは、第１～第８の態様のいずれか１つに係るプログラムであって、前記推奨空調機器に加えて、さらに設置を推奨するエアーコンディショナー、空気清浄機、サーキュレータ、扇風機、またはファンを含む推奨付帯機器を特定する。 The program according to the ninth aspect of the present disclosure is a program according to any one of the first to eighth aspects, and in addition to the recommended air conditioning equipment, identifies recommended ancillary equipment including an air conditioner, air purifier, circulator, electric fan, or fan that is recommended for installation.
　本開示によれば、推奨空調機器の空調性能をより効率的に発揮可能な方法を提案することが可能である。 This disclosure makes it possible to propose a method for more efficiently achieving the air conditioning performance of recommended air conditioners.
　本開示の第１０の態様に係るプログラムは、第９の態様に係るプログラムであって、前記空間情報及び前記設置位置に基づき、前記推奨付帯機器の推奨設置箇所を特定する。 The program according to the tenth aspect of the present disclosure is the program according to the ninth aspect, and identifies a recommended installation location for the recommended accessory device based on the spatial information and the installation position.
　本開示によれば、推奨空調機器の空調性能をより効率的に発揮可能な方法を提案することが可能である。 This disclosure makes it possible to propose a method for more efficiently achieving the air conditioning performance of recommended air conditioners.
　本開示の第１１の態様に係るプログラムは、第１～第１０の態様のいずれか１つに係るプログラムであって、前記空間情報、前記設置位置、及び前記推奨空調機器の候補となる候補空調機器の性能をシミュレーターに入力し、
　前記シミュレーターから得られる前記空間内の温度、湿度、または気流の状態に基づいて、前記推奨空調機器を特定する。 A program according to an eleventh aspect of the present disclosure is a program according to any one of the first to tenth aspects, comprising: inputting the spatial information, the installation position, and performance of candidate air-conditioning equipment that is a candidate for the recommended air-conditioning equipment into a simulator;
The recommended air conditioning equipment is identified based on the temperature, humidity, or airflow conditions in the space obtained from the simulator.
　本開示によれば、より高い精度でユーザが空調機器の設置を希望する空間及び空間における設置位置に対して好適な空調機器の機種を提案することが可能である。 According to the present disclosure, it is possible to propose with greater accuracy the model of air conditioning equipment that is most suitable for the space in which the user wishes to install the air conditioning equipment and the installation location within that space.
　本開示の第１２の態様に係るプログラムは、第１～第１０の態様のいずれか１つに係るプログラムであって、前記空間情報及び前記設置位置を入力した場合に前記推奨空調機器を出力するように学習された学習モデルに、前記空間情報及び前記設置位置を入力し、前記推奨空調機器を出力する。 The program according to the twelfth aspect of the present disclosure is a program according to any one of the first to tenth aspects, in which the spatial information and the installation location are input to a learning model that has been trained to output the recommended air conditioner when the spatial information and the installation location are input, and the recommended air conditioner is output.
　本開示によれば、より高い精度でユーザが空調機器の設置を希望する空間及び空間における設置位置に対して好適な空調機器の機種を提案することが可能である。 According to the present disclosure, it is possible to propose with greater accuracy the model of air conditioning equipment that is most suitable for the space in which the user wishes to install the air conditioning equipment and the installation location within that space.
　本開示の第１３の態様に係るプログラムは、第１～第１２の態様のいずれか１つに係るプログラムであって、前記空間の形状を示す、相互に形状が異なる複数の空間形状を示すアイコンを含むアイコン群を選択可能に出力し、選択された前記空間形状に対応する前記空間の平面図形を出力し、出力した前記平面図形上において前記空調機器の前記設置位置の入力を受け付け、受け付けた前記設置位置に前記空調機器のアイコンを出力する。 The program according to the thirteenth aspect of the present disclosure is a program according to any one of the first to twelfth aspects, which selectably outputs a group of icons including icons indicating a plurality of mutually different spatial shapes that indicate the shape of the space, outputs a plan view of the space corresponding to the selected spatial shape, accepts input of the installation position of the air conditioning device on the output plan view, and outputs an icon of the air conditioning device at the accepted installation position.
　本開示によれば、ユーザによる空間情報の入力をより簡便にすることが可能である。 The present disclosure makes it possible for users to more easily input spatial information.
　本開示の第１４の態様に係るプログラムは、第１～第１３の態様のいずれか１つに係るプログラムであって、前記空間の撮影画像を取得し、取得した前記撮影画像に基づいて、前記空間の形状及び容積を含む前記空間情報を推定し、推定した前記空間情報、及び前記設置位置に基づき、前記推奨空調機器を特定する。 The program according to the fourteenth aspect of the present disclosure is a program according to any one of the first to thirteenth aspects, which acquires a photographed image of the space, estimates the spatial information including the shape and volume of the space based on the acquired photographed image, and identifies the recommended air-conditioning equipment based on the estimated spatial information and the installation position.
　本開示によれば、ユーザによる空間情報の入力を省略し、空調機器の機種を提案することが可能である。 According to this disclosure, it is possible to suggest air conditioning equipment models without the need for the user to input spatial information.
　本開示の第１５の態様に係るプログラムは、第１４の態様に係るプログラムであって、前記撮影画像内において、前記空調機器の設置可能位置を出力し、前記設置可能位置内において前記設置位置の入力を受け付け、推定した前記空間情報、及び入力を受け付けた前記設置位置に基づき、前記推奨空調機器を特定する。 The program according to the fifteenth aspect of the present disclosure is the program according to the fourteenth aspect, which outputs possible installation positions of the air conditioner within the captured image, accepts input of the installation position within the possible installation positions, and identifies the recommended air conditioner based on the estimated spatial information and the accepted input of the installation position.
　本開示によれば、ユーザによる空調機器の設置位置の入力をより簡便にすることが可能である。 This disclosure makes it easier for users to input the installation location of air conditioners.
　本開示の第１６の態様に係るプログラムは、第１～第１５の態様のいずれか１つに係るプログラムであって、前記空間の撮影画像を取得し、前記撮影画像内に、特定された前記推奨空調機器の仮想オブジェクトをＡＲ表示する。 The program according to the sixteenth aspect of the present disclosure is a program according to any one of the first to fifteenth aspects, which acquires a captured image of the space and displays an AR virtual object of the identified recommended air conditioning device within the captured image.
　本開示によれば、ユーザに対して、推奨空調機器を設置位置に設置した際のイメージを提供し、購買意欲を高めることが可能である。 According to this disclosure, it is possible to provide users with an image of what the recommended air conditioner will look like when installed in the installation location, thereby increasing their desire to purchase.
　本開示の第１７の態様に係るプログラムは、第１～第１６の態様のいずれか１つに係るプログラムであって、前記空間情報及び前記設置位置に基づき、前記推奨空調機器の候補となる候補空調機器が前記空間に設置された場合の前記空間における快適性を評価し、評価された快適性に基づいて、前記候補空調機器の中から前記推奨空調機器を特定する。 The program according to the seventeenth aspect of the present disclosure is a program according to any one of the first to sixteenth aspects, which evaluates the comfort in the space when candidate air-conditioning equipment that is a candidate for the recommended air-conditioning equipment is installed in the space based on the spatial information and the installation position, and identifies the recommended air-conditioning equipment from among the candidate air-conditioning equipment based on the evaluated comfort.
　本開示によれば、より高い精度でユーザが空調機器の設置を希望する空間及び空間における設置位置に対して好適な空調機器の機種を提案することが可能である。 According to the present disclosure, it is possible to propose with greater accuracy the model of air conditioning equipment that is most suitable for the space in which the user wishes to install the air conditioning equipment and the installation location within that space.
　本開示の一態様に係る情報処理方法は、空調機器を設置する空間の空間情報を取得し、前記空調機器の前記空間における設置位置を取得し、前記空間情報及び前記設置位置に基づき、推奨空調機器を特定する。 An information processing method according to one aspect of the present disclosure acquires spatial information of a space in which an air conditioner is to be installed, acquires the installation position of the air conditioner in the space, and identifies a recommended air conditioner based on the spatial information and the installation position.
　本開示によれば、ユーザが空調機器の設置を希望する空間及び空間における設置位置に対して好適な空調機器の機種を提案することが可能である。 According to this disclosure, it is possible to suggest a model of air conditioning equipment that is suitable for the space in which the user wishes to install the air conditioning equipment and the installation location within that space.
　本開示の一態様に係る情報処理装置は、空調機器を設置する空間の空間情報を取得し、前記空調機器の前記空間における設置位置を取得し、前記空間情報及び前記設置位置に基づき、推奨空調機器を特定する制御部を備える。 An information processing device according to one aspect of the present disclosure includes a control unit that acquires spatial information about a space in which an air conditioner is to be installed, acquires the installation position of the air conditioner in the space, and identifies a recommended air conditioner based on the spatial information and the installation position.
　本開示によれば、ユーザが空調機器の設置を希望する空間及び空間における設置位置に対して好適な空調機器の機種を提案することが可能である。 According to this disclosure, it is possible to suggest a model of air conditioning equipment that is suitable for the space in which the user wishes to install the air conditioning equipment and the installation location within that space.
　本開示の一態様によるプログラムによれば、ユーザが空調機器の設置を希望する箇所に基づく機種の提案が可能である。 The program according to one aspect of the present disclosure can suggest a model of air conditioner based on where the user wants to install the equipment.
実施形態１に係る空調機器推奨システムの構成を示す説明図である。1 is an explanatory diagram showing a configuration of an air conditioner recommendation system according to a first embodiment. FIG. 実施形態１に係る情報処理装置の構成例を示すブロック図である。1 is a block diagram showing an example of the configuration of an information processing device according to a first embodiment; 実施形態１に係るユーザ端末の構成例を示すブロック図である。FIG. 2 is a block diagram showing a configuration example of a user terminal according to the first embodiment. ユーザ端末における空間情報及び設置位置の入力受付画面の一例を示す説明図である。11 is an explanatory diagram showing an example of an input reception screen for spatial information and an installation position in a user terminal. FIG. ユーザ端末における空間情報及び設置位置の入力受付画面の一例を示す説明図である。11 is an explanatory diagram showing an example of an input reception screen for spatial information and an installation position in a user terminal. FIG. 推奨空調機器出力画面の一例を示す説明図である。FIG. 13 is an explanatory diagram showing an example of a recommended air conditioning equipment output screen. 空調機器テーブルの一例を示す説明図である。FIG. 4 is an explanatory diagram illustrating an example of an air conditioning equipment table. 必要能力算出処理の一例を示すフローチャートである。13 is a flowchart illustrating an example of a required ability calculation process. 概算負荷テーブルの一例を示す説明図である。FIG. 13 is an explanatory diagram illustrating an example of an estimated load table. 実施形態１に係る情報処理装置の制御部の処理の一例を示すフローチャートである。6 is a flowchart illustrating an example of processing by a control unit of the information processing device according to the first embodiment. 必要機能テーブルの一例を示す説明図である。FIG. 11 is an explanatory diagram illustrating an example of a required function table. 理由テーブルの一例を示す説明図である。FIG. 13 is an explanatory diagram illustrating an example of a reason table. 実施形態２に係る情報処理装置の構成例を示すブロック図である。FIG. 11 is a block diagram showing an example of the configuration of an information processing device according to a second embodiment. 空調機器推奨モデルの一例を示す説明図である。FIG. 2 is an explanatory diagram showing an example of an air conditioner recommendation model. 実施形態２に係る情報処理装置の制御部の処理の一例を示すフローチャートである。10 is a flowchart illustrating an example of processing by a control unit of an information processing device according to a second embodiment. 実施形態３に係る情報処理装置の構成例を示すブロック図である。FIG. 11 is a block diagram showing an example of the configuration of an information processing device according to a third embodiment. 付帯機器テーブルの一例を示す説明図である。FIG. 13 is an explanatory diagram illustrating an example of an auxiliary device table. 推奨付帯機器表示画面の一例を示す説明図である。FIG. 13 is an explanatory diagram showing an example of a recommended accessory device display screen. 実施形態３に係る情報処理装置の制御部の処理の一例を示すフローチャートである。13 is a flowchart illustrating an example of processing by a control unit of an information processing device according to a third embodiment. 実施形態４に係る情報処理装置の構成例を示すブロック図である。FIG. 13 is a block diagram showing an example of the configuration of an information processing device according to a fourth embodiment. 実施形態４に係る情報処理装置の制御部の処理の一例を示すフローチャートである。13 is a flowchart illustrating an example of processing by a control unit of an information processing device according to a fourth embodiment. 実施形態５に係る情報処理装の構成例を示すブロック図である。FIG. 13 is a block diagram showing an example of the configuration of an information processing device according to a fifth embodiment. 実施形態５に係るユーザ端末の構成例を示すブロック図である。FIG. 13 is a block diagram showing a configuration example of a user terminal according to a fifth embodiment. 撮影画像の一例を示す説明図である。FIG. 2 is an explanatory diagram showing an example of a captured image. 物体検出モデルの一例を示す説明図である。FIG. 2 is an explanatory diagram illustrating an example of an object detection model. 実施形態５に係る設置位置入力受付画面の一例を示す説明図である。FIG. 13 is an explanatory diagram showing an example of an installation position input reception screen according to the fifth embodiment. 実施形態５に係る情報処理装置の制御部の処理の一例を示すフローチャートである。13 is a flowchart illustrating an example of processing by a control unit of an information processing device according to embodiment 5. 実施形態６に係るユーザ端末の構成例を示すブロック図である。FIG. 23 is a block diagram showing an example of the configuration of a user terminal according to the sixth embodiment. 実施形態６に係る空調機器テーブルの一例を示す説明図である。FIG. 23 is an explanatory diagram showing an example of an air conditioning equipment table according to the sixth embodiment. 空調機器のＡＲ表示を説明する説明図である。FIG. 13 is an explanatory diagram illustrating an AR display of an air conditioner. 実施形態７に係る情報処理装置の構成例を示すブロック図である。FIG. 13 is a block diagram showing an example of the configuration of an information processing device according to a seventh embodiment. 実施形態７に係る情報処理装置の制御部の処理の一例を示すフローチャートである。13 is a flowchart illustrating an example of processing by a control unit of an information processing device according to a seventh embodiment.
（実施形態１）
　図１は、実施形態１に係る空調機器推奨システムＳの構成を示す説明図である。空調機器推奨システムＳは、情報処理装置１と、ユーザ端末２とを備える。情報処理装置１は、広域無線通信によるネットワークＮを介してユーザ端末２と互いに通信可能である。ユーザ端末２は、空調機器の購入またはリースを検討するユーザが所持する端末であり、ユーザが空調機器の設置を希望する空間（部屋）に関する空間情報、及びユーザが空間において空調機器の設置を希望する位置（設置位置）の入力を受け付ける。また、ユーザ端末２は、ネットワークＮを介して、入力を受け付けた空間情報及び設置位置を情報処理装置１に送信する。空間情報及び設置位置を受信した情報処理装置１は、受信した空間情報及び設置位置に基づいてユーザに購入またはリースを推奨する推奨空調機器を特定し、特定した推奨空調機器に関する情報をユーザ端末２に送信する。本実施形態において、空調機器はエアーコンディショナーを指すものとして以下の説明を行う。なお、以下に説明する情報処理装置１の処理の一部または全部をユーザ端末２が実行してもよい。 (Embodiment 1)
FIG. 1 is an explanatory diagram showing the configuration of an air conditioner recommendation system S according to the first embodiment. The air conditioner recommendation system S includes an information processing device 1 and a user terminal 2. The information processing device 1 can communicate with the user terminal 2 via a network N using wide-area wireless communication. The user terminal 2 is a terminal owned by a user who is considering purchasing or leasing an air conditioner, and accepts input of spatial information related to a space (room) in which the user wishes to install the air conditioner, and a position (installation position) in which the user wishes to install the air conditioner in the space. In addition, the user terminal 2 transmits the received spatial information and installation position to the information processing device 1 via the network N. The information processing device 1, which has received the spatial information and installation position, identifies a recommended air conditioner that is recommended to the user for purchase or lease based on the received spatial information and installation position, and transmits information related to the identified recommended air conditioner to the user terminal 2. In this embodiment, the following description will be given assuming that the air conditioner refers to an air conditioner. Note that the user terminal 2 may execute part or all of the processing of the information processing device 1 described below.
　図２は、実施形態１に係る情報処理装置１の構成例を示すブロック図である。情報処理装置１は、例えばサーバコンピュータであり、制御部１１と、記憶部１２と、通信部１３とを備える。制御部１１は、ＣＰＵ（Central Processing Unit）ＭＰＵ(Micro Processing Unit)、ＧＰＵ（Graphical Processing Unit）、または量子プロセッサ等により構成されており、記憶部１２に予め記憶されたプログラムＰ（プログラム製品）及びデータベースを読み出して実行することにより、種々の制御処理、演算処理等を行う。なお情報処理装置１の外部にデータベースサーバ等を設け、該データベースサーバ等からデータベースを読み出してもよい。また、情報処理装置１は、複数のサーバ装置またはコンピュータによりその機能が実現されるものであってもよい。また、情報処理装置１は、ブロックチェーン上のノードに対応するものでもよい。 FIG. 2 is a block diagram showing an example of the configuration of the information processing device 1 according to the first embodiment. The information processing device 1 is, for example, a server computer, and includes a control unit 11, a storage unit 12, and a communication unit 13. The control unit 11 is configured with a CPU (Central Processing Unit), an MPU (Micro Processing Unit), a GPU (Graphical Processing Unit), a quantum processor, or the like, and performs various control processes, arithmetic processes, and the like by reading and executing a program P (program product) and a database pre-stored in the storage unit 12. Note that a database server or the like may be provided outside the information processing device 1, and the database may be read from the database server or the like. Furthermore, the information processing device 1 may be one whose functions are realized by multiple server devices or computers. Furthermore, the information processing device 1 may correspond to a node on a blockchain.
　情報処理装置１の記憶部１２は、例えば、揮発性メモリ及び不揮発性メモリである。記憶部１２には、プログラムＰ、空調機器テーブル１２１、概算負荷テーブル１２２、必要機能テーブル１２３、及び理由テーブル１２４が記憶されている。なお、プログラムＰは、コンピュータが読み取り可能に記憶した記憶媒体１２ａを用いて情報処理装置１に提供されてもよい。記憶媒体１２ａは、例えば可搬型メモリである。可搬型メモリの例として、ＣＤ－ＲＯＭ、ＵＳＢ（Universal Serial Bus）メモリ、ＳＤカード、マイクロＳＤカード又はコンパクトフラッシュメモリ（登録商標）等が挙げられる。記憶媒体１２ａが可搬型メモリである場合、制御部１１の処理素子は、図示しない読取装置を用いて記憶媒体１２ａからプログラムＰを読み取ってもよい。読み取ったプログラムＰは記憶部１２に書き込まれる。更に、プログラムＰは、通信部１３が外部装置と通信することによって、情報処理装置１に提供されてもよい。空調機器テーブル１２１、概算負荷テーブル１２２、必要機能テーブル１２３、及び理由テーブル１２４の詳細については後述する。 The memory unit 12 of the information processing device 1 is, for example, a volatile memory and a non-volatile memory. The memory unit 12 stores a program P, an air conditioning equipment table 121, an estimated load table 122, a required function table 123, and a reason table 124. The program P may be provided to the information processing device 1 using a storage medium 12a in which the program P is stored so as to be readable by a computer. The storage medium 12a is, for example, a portable memory. Examples of the portable memory include a CD-ROM, a USB (Universal Serial Bus) memory, an SD card, a micro SD card, or a Compact Flash Memory (registered trademark). When the storage medium 12a is a portable memory, the processing element of the control unit 11 may read the program P from the storage medium 12a using a reading device not shown. The read program P is written to the memory unit 12. Furthermore, the program P may be provided to the information processing device 1 by the communication unit 13 communicating with an external device. Details of the air conditioning equipment table 121, estimated load table 122, required function table 123, and reason table 124 will be described later.
　通信部１３は、有線又は無線によりユーザ端末２と通信するための通信モジュール又は通信インターフェイスであり、例えばＬＴＥ（登録商標）、４Ｇ、または５Ｇ等の広域無線通信モジュールである。制御部１１は、通信部１３を介し、例えばインターネットなどの外部のネットワークＮを通じて、ユーザ端末２と通信を行う。 The communication unit 13 is a communication module or communication interface for communicating with the user terminal 2 by wire or wirelessly, and is, for example, a wide-area wireless communication module such as LTE (registered trademark), 4G, or 5G. The control unit 11 communicates with the user terminal 2 via the communication unit 13 through an external network N such as the Internet.
　図３は、実施形態１に係るユーザ端末２の構成例を示すブロック図である。ユーザ端末２は、例えば、スマートフォン、タブレット型端末、またはパーソナルコンピュータ等である。なお、本実施形態においては、ユーザ端末２はスマートフォンである例について説明を行う。ユーザ端末２は、端末制御部２１と、記憶部２２と、通信部２３と、入力部２４と、表示部２５とを備える。端末制御部２１は、ＣＰＵ又はＭＰＵ等により構成されており、種々の制御処理、演算処理等を行う。 FIG. 3 is a block diagram showing an example of the configuration of the user terminal 2 according to the first embodiment. The user terminal 2 is, for example, a smartphone, a tablet terminal, or a personal computer. In this embodiment, an example in which the user terminal 2 is a smartphone will be described. The user terminal 2 includes a terminal control unit 21, a storage unit 22, a communication unit 23, an input unit 24, and a display unit 25. The terminal control unit 21 is configured with a CPU or an MPU, and performs various control processes, arithmetic processes, and the like.
　記憶部２２は、空間情報の入力を受け付け、推奨空調機器をユーザに提示するアプリケーションのアプリプログラムＰａを記憶している。アプリプログラムＰａは、例えば、記憶媒体２２ａを用いてユーザ端末２に提供される。なお、ユーザ端末２の端末制御部２１は、インターネットを用いてアプリプログラムＰａを取得し、記憶部２２に記憶させてもよい。 The storage unit 22 stores an application program Pa that accepts input of spatial information and presents recommended air conditioning equipment to the user. The application program Pa is provided to the user terminal 2 using, for example, a storage medium 22a. The terminal control unit 21 of the user terminal 2 may obtain the application program Pa using the Internet and store it in the storage unit 22.
　通信部２３は、無線により情報処理装置１と通信するための通信モジュール又は通信インターフェイスである。端末制御部２１は、通信部２３を介し、外部のネットワークＮを通じて、情報処理装置１と通信を行う。 The communication unit 23 is a communication module or communication interface for wirelessly communicating with the information processing device 1. The terminal control unit 21 communicates with the information processing device 1 through the external network N via the communication unit 23.
　入力部２４は、ユーザが空調機器の設置を希望する部屋に関する空間情報、及び該部屋においてユーザが空調機器の設置を希望する位置（設置位置）の入力を受け付ける。 The input unit 24 accepts input of spatial information about the room in which the user wishes to install the air conditioner, and the location (installation location) in the room in which the user wishes to install the air conditioner.
　表示部２５は、空間情報及び設置位置の入力を受け付ける入力受付画面、及び情報処理装置１から受信した、推奨空調機器に関する情報を表示する推奨画面を表示する。なお、本実施形態において、ユーザ端末２はスマートフォンであり、入力部２４及び表示部２５はタッチパネルによって一体として構成される。制御部１１は、入力部２４を介して、部屋の形状、部屋の広さ、部屋の用途、窓の位置、部屋の間取り、部屋に対する方角部屋を備える建物の種類、該建物内における部屋の位置（階数）、または該建物が存在する地域を含む空間情報、及び空調機器の設置位置の入力を受け付ける。 The display unit 25 displays an input reception screen that receives input of spatial information and installation positions, and a recommendation screen that displays information about recommended air-conditioning equipment received from the information processing device 1. In this embodiment, the user terminal 2 is a smartphone, and the input unit 24 and display unit 25 are integrated into a touch panel. The control unit 11 receives input of spatial information including the shape of the room, the size of the room, the purpose of the room, the position of the windows, the layout of the room, the direction to the room, the type of building in which the room is located, the position of the room within the building (floor), or the area in which the building is located, and the installation position of the air-conditioning equipment via the input unit 24.
　図４及び図５は、ユーザ端末２における空間情報及び設置位置の入力受付画面の一例を示す説明図である。ユーザ端末の端末制御部２１は、アプリプログラムＰａが起動されると、図４Ａに示す画面を表示部２５に表示させる。なお、端末制御部２１は、Ｗｅｂベースによって表示部２５に以下に説明する画面を表示させてもよい。図４Ａは、部屋の形状、部屋の広さ、及び部屋の用途の入力受付画面を示す。ユーザ端末２の端末制御部２１は、図４Ａに示す入力受付画面において、部屋の形状を示す、相互に形状が異なる複数の空間形状を示すアイコンを含むアイコン群ＩＧを選択可能に出力する。本例において、アイコン群ＩＧは、細長い部屋アイコン、長方形部屋アイコン、正方形部屋アイコン、Ｌ字型部屋アイコン、台形部屋アイコン、２部屋使用アイコン、及びその他アイコンを含む。なお、その他アイコンが選択された場合、端末制御部２１は、入力部２４を介して部屋の形状を手書き入力によって受け付けてもよい。また、端末制御部２１は、部屋の広さの入力を受け付ける広さ入力欄と、部屋の用途の選択を受け付ける用途選択欄とを出力する。端末制御部２１は、例えば、広さ入力欄において部屋の畳数の入力を受け付ける。なお、端末制御部２１は、平米の数値の入力を受け付けてもよい。また、端末制御部２１は、用途選択欄において、ＬＤＫ、ＤＫ、Ｌ、寝室、書斎、または客間などの選択肢から、ユーザによる用途の選択を受け付ける。端末制御部２１は、図４Ａにおいて部屋の形状の選択、部屋の広さの入力、及び部屋の用途の入力を、入力部２４を通じて受け付け、「次へ」コマンドが選択されると、図４Ｂに示す入力受付画面を表示部２５に表示させる。 4 and 5 are explanatory diagrams showing an example of an input reception screen for spatial information and installation position in the user terminal 2. When the application program Pa is started, the terminal control unit 21 of the user terminal causes the display unit 25 to display the screen shown in FIG. 4A. The terminal control unit 21 may also cause the display unit 25 to display the screen described below via a web base. FIG. 4A shows an input reception screen for the shape of the room, the size of the room, and the purpose of the room. The terminal control unit 21 of the user terminal 2 outputs a selectable icon group IG including icons indicating a plurality of spatial shapes that are different from each other and indicate the shape of the room on the input reception screen shown in FIG. 4A. In this example, the icon group IG includes an elongated room icon, a rectangular room icon, a square room icon, an L-shaped room icon, a trapezoidal room icon, a two-room use icon, and other icons. When the other icon is selected, the terminal control unit 21 may accept the shape of the room by handwriting input via the input unit 24. The terminal control unit 21 also outputs an area input field for accepting input of the size of the room and a purpose selection field for accepting selection of the purpose of the room. The terminal control unit 21 accepts, for example, input of the number of tatami mats in the room in the area input field. The terminal control unit 21 may also accept input of a square meter value. The terminal control unit 21 also accepts the user's selection of purpose from options such as living/dining/kitchen, dining/kitchen, room, bedroom, study, or guest room in the purpose selection field. The terminal control unit 21 accepts the selection of the room shape, input of the room size, and input of the room purpose in FIG. 4A through the input unit 24, and when the "Next" command is selected, causes the display unit 25 to display the input acceptance screen shown in FIG. 4B.
　図４Ｂは、部屋における窓の位置の入力を受け付ける入力受付画面を示す。ユーザ端末２の端末制御部２１は、図４Ａに示す入力受付画面において選択を受け付けた部屋の形状に対応する部屋の平面図形を出力する。端末制御部２１は、部屋の形状を手書き入力によってユーザは、出力された平面図形の辺のうち一部をなぞることにより、窓の位置の入力が可能である。端末制御部２１は、窓の位置の入力を受け付け、「ＯＫ」コマンドが選択されると、図４Ｃに示す設置位置入力受付画面を表示部２５に表示させる。 FIG. 4B shows an input reception screen that accepts input of the window position in a room. The terminal control unit 21 of the user terminal 2 outputs a plan view of the room corresponding to the shape of the room selected and accepted on the input reception screen shown in FIG. 4A. The terminal control unit 21 allows the user to input the shape of the room by handwriting, and to input the window position by tracing some of the edges of the output plan view. The terminal control unit 21 accepts the input of the window position, and when the "OK" command is selected, causes the display unit 25 to display the installation position input reception screen shown in FIG. 4C.
　図４Ｃは、設置位置入力受付画面を示す。ユーザ端末２の端末制御部２１は、図４Ａに示す入力受付画面において選択を受け付けた部屋の形状に対応する部屋の平面図形を出力する。なお、端末制御部２１は、図４Ｃに示すように、図４Ｂに示す入力受付画面において入力を受け付けた窓の位置を表示してもよい。ユーザは、出力された平面図形の一部をタッチすることにより、空調機器の設置位置を入力することが可能である。端末制御部２１は、空調機器の設置位置の入力を受け付けると、図４Ｄに示す入力受付画面を表示部２５に表示させる。 FIG. 4C shows the installation location input reception screen. The terminal control unit 21 of the user terminal 2 outputs a plan view of the room corresponding to the shape of the room selected and received on the input reception screen shown in FIG. 4A. As shown in FIG. 4C, the terminal control unit 21 may also display the window position for which input was received on the input reception screen shown in FIG. 4B. The user can input the installation location of the air conditioning equipment by touching part of the output plan view. When the terminal control unit 21 receives input of the installation location of the air conditioning equipment, it causes the display unit 25 to display the input reception screen shown in FIG. 4D.
　図４Ｄは、部屋の間取りの入力を受け付ける入力受付画面を示す。端末制御部２１は、図４Ａに示す入力受付画面において選択を受け付けた部屋の形状に対応する部屋の平面図形を出力する。なお、端末制御部２１は、図４Ｄに示すように、図４Ｂに示す入力受付画面において入力を受け付けた窓の位置、及び図４Ｃに示す設置位置入力受付画面において入力を受け付けた空調機器の設置位置を表示してもよい。ユーザは、平面図形の一部をなぞることにより、吹き抜けまたはロフトが存在する位置（間取り）を入力することが可能である。端末制御部２１は、間取りの入力を受け付け、「ＯＫ」コマンドが選択されると、図５Ａに示す入力受付画面を表示部２５に表示させる。 FIG. 4D shows an input reception screen that accepts input of the room layout. The terminal control unit 21 outputs a plan view of the room corresponding to the shape of the room selected and accepted on the input reception screen shown in FIG. 4A. As shown in FIG. 4D, the terminal control unit 21 may also display the window positions inputted on the input reception screen shown in FIG. 4B and the air conditioning equipment installation positions inputted on the installation position input reception screen shown in FIG. 4C. The user can input the position (layout) of an open ceiling or loft by tracing part of the plan view. The terminal control unit 21 accepts the input of the floor plan, and when the "OK" command is selected, causes the display unit 25 to display the input reception screen shown in FIG. 5A.
　図５Ａは、部屋に対する方角の入力を受け付ける入力受付画面を示す。端末制御部２１は、図４Ａに示す入力受付画面において選択を受け付けた部屋の形状に対応する部屋の平面図形を出力する。なお、端末制御部２１は、図５Ａに示すように、図４Ｂに示す入力受付画面において入力を受け付けた窓の位置、及び図４Ｃに示す設置位置入力受付画面において入力を受け付けた空調機器の設置位置を表示してもよい。また、端末制御部２１は、例えば、１６方位を示すアイコンを、１方位を選択可能に出力する。ユーザは１６方位のアイコンのうち、北の方角にあたる方位を選択可能である。なお、端末制御部２１は、例えば、南の方角にあたる方位の選択を受け付けてもよい。端末制御部２１は、１方位が選択され、部屋に対する方角の入力を受け付け、「ＯＫ」コマンドが選択されると、図５Ｂに示す入力受付画面を表示部２５に表示させる。 FIG. 5A shows an input reception screen that accepts input of the direction of the room. The terminal control unit 21 outputs a plan view of the room corresponding to the shape of the room selected on the input reception screen shown in FIG. 4A. As shown in FIG. 5A, the terminal control unit 21 may display the window position input on the input reception screen shown in FIG. 4B and the installation position of the air conditioner input on the installation position input reception screen shown in FIG. 4C. The terminal control unit 21 may output, for example, icons showing 16 directions, with one direction selectable. The user can select the direction corresponding to the north direction from the 16 direction icons. The terminal control unit 21 may accept the selection of the direction corresponding to the south direction, for example. When one direction is selected and the terminal control unit 21 accepts input of the direction of the room and the "OK" command is selected, the terminal control unit 21 displays the input reception screen shown in FIG. 5B on the display unit 25.
　図５Ｂは、部屋を備える建物の種類、該建物内における部屋の位置（階数）、及び該建物が存在する地域の入力を受け付ける入力受付画面である。端末制御部２１は、建物の種類の入力を受け付ける種類入力欄、部屋の階数の入力を受け付ける階数入力欄、及び建物の存在する地域の入力を受け付ける地域入力欄を出力する。なお、本実施形態において、種類入力欄、及び地域入力欄は、ユーザが複数の選択肢から選択して入力が可能な様態で表示される。地域入力欄においては、郵便番号の入力を受け付けてもよい。端末制御部２１は、「判定」コマンドが選択されると、図４及び図５に示す入力受付画面において入力を受け付けた空間情報及び設置位置を情報処理装置に送信する。 FIG. 5B is an input reception screen that accepts input of the type of building in which the room is located, the location (floor) of the room within the building, and the area in which the building is located. The terminal control unit 21 outputs a type input field that accepts input of the type of building, a floor input field that accepts input of the floor number of the room, and an area input field that accepts input of the area in which the building is located. In this embodiment, the type input field and area input field are displayed in a manner that allows the user to select from multiple options and enter an input. The area input field may also accept input of a postal code. When the "determine" command is selected, the terminal control unit 21 transmits the spatial information and installation position input accepted on the input reception screens shown in FIGS. 4 and 5 to the information processing device.
　図６は、推奨空調機器出力画面の一例を示す説明図である。情報処理装置１の制御部１１は、ユーザ端末から空間情報と設置位置とを受信（取得）すると、取得した空間情報及び設置位置に基づき、ユーザに設置を推奨する推奨空調機器を特定する。推奨空調機器を特定する詳細な方法については後述する。制御部１１は、特定した推奨空調機器に関する情報をユーザ端末２に送信する。ユーザ端末２は、推奨空調機器に関する情報を受信（取得）すると、推奨空調機器出力画面に、取得した推奨空調機器に関する情報を表示する。具体的には、図６に示すように、推奨空調機器の外観図、機種名、販売価格、及び推奨空調機器を特定した理由（おすすめの理由）が推奨空調機器出力画面に表示される。なお、推奨空調機器出力画面には、推奨度が高い順に、複数の空調機器が推奨空調機器として出力されてもよい。 FIG. 6 is an explanatory diagram showing an example of a recommended air conditioning equipment output screen. When the control unit 11 of the information processing device 1 receives (acquires) space information and an installation location from the user terminal, it identifies a recommended air conditioning equipment that is recommended to be installed by the user based on the acquired space information and installation location. A detailed method for identifying a recommended air conditioning equipment will be described later. The control unit 11 transmits information on the identified recommended air conditioning equipment to the user terminal 2. When the user terminal 2 receives (acquires) information on the recommended air conditioning equipment, it displays the acquired information on the recommended air conditioning equipment on the recommended air conditioning equipment output screen. Specifically, as shown in FIG. 6, the external view of the recommended air conditioning equipment, the model name, the selling price, and the reason for identifying the recommended air conditioning equipment (reason for recommendation) are displayed on the recommended air conditioning equipment output screen. Note that multiple air conditioning equipment may be output as recommended air conditioning equipment on the recommended air conditioning equipment output screen in order of the degree of recommendation.
　図７は、空調機器テーブル１２１の一例を示す説明図である。空調機器テーブル１２１には、推奨空調機器の候補となる候補空調機器の性能が記憶されている。空調機器テーブル１２１の管理項目（フィールド）は、例えば、機種名フィールド、販売価格フィールド、能力フィールド、気流到達距離フィールド、上下気流拡散角度フィールド、左右気流拡散角度フィールド、サーキュレーション気流フィールド、温度センシング機能フィールド及び人検知機能フィールドを含む。機種名フィールドには、空調機器の機種名が格納される。販売価格フィールドには、空調機器の販売価格が格納されている。能力フィールドには、空調機器の空調能力が格納される。空調能力は、空調機器が単位時間当たりに空間内から除去する、または加えることが可能な熱量を示す。気流到達フィールドには、空調機器が気流を到達させることが可能な距離が格納される。上下気流拡散角度フィールドには、空調機器が気流を拡散させることが可能な上下方向の角度が格納される。左右気流拡散角度フィールドには、空調機器が気流を拡散させることが可能な左右方向の角度が格納される。サーキュレーション気流フィールドには、空調機器のサーキュレーション気流制御機能の有無が格納される。サーキュレーション気流制御とは、気流を壁又は天井に沿って回り込ませる制御である。温度センシング機能フィールドには、温度センシング機能の有無が格納されている。温度センシング機能は、空間内の温度ムラを検知する機能である。人検知機能フィールドには、空調機器の人検知機能の有無が格納される。人検知機能は、空間内にいる人を検知する機能であり、空間内の人の位置または動きに応じて気流制御を変更するための機能である。人検知機能は、例えば、ドップラーセンサまたは画像処理によって実現される。なお、人検知機能は、温度センシングによって実現されるものであってもよい。 7 is an explanatory diagram showing an example of an air conditioning equipment table 121. The air conditioning equipment table 121 stores the performance of candidate air conditioning equipment that is a candidate for a recommended air conditioning equipment. The management items (fields) of the air conditioning equipment table 121 include, for example, a model name field, a sales price field, a capacity field, an airflow reach distance field, an up-down airflow diffusion angle field, a left-right airflow diffusion angle field, a circulation airflow field, a temperature sensing function field, and a human detection function field. The model name field stores the model name of the air conditioning equipment. The sales price field stores the sales price of the air conditioning equipment. The capacity field stores the air conditioning capacity of the air conditioning equipment. The air conditioning capacity indicates the amount of heat that the air conditioning equipment can remove from or add to a space per unit time. The airflow reach field stores the distance that the air conditioning equipment can reach with the airflow. The up-down airflow diffusion angle field stores the up-down angle at which the air conditioning equipment can diffuse the airflow. The left/right airflow diffusion angle field stores the left/right angle at which the air conditioner can diffuse the airflow. The circulation airflow field stores the presence or absence of a circulation airflow control function of the air conditioner. Circulation airflow control is a control that causes the airflow to flow around the wall or ceiling. The temperature sensing function field stores the presence or absence of a temperature sensing function. The temperature sensing function is a function that detects temperature unevenness in a space. The human detection function field stores the presence or absence of a human detection function of the air conditioner. The human detection function is a function that detects people in a space and is a function for changing the airflow control according to the position or movement of the person in the space. The human detection function is realized, for example, by a Doppler sensor or image processing. It should be noted that the human detection function may also be realized by temperature sensing.
　情報処理装置１の制御部１１は、空調機器テーブル１２１に格納されている空調機器を、推奨空調機器の候補となる候補空調機器として、候補空調機器の中から推奨空調機器を特定する。 The control unit 11 of the information processing device 1 identifies the recommended air conditioning equipment from among the candidate air conditioning equipment, which are the air conditioning equipment stored in the air conditioning equipment table 121 and are candidates for the recommended air conditioning equipment.
　図８は、必要能力算出処理の一例を示すフローチャートである。図９は、概算負荷テーブル１２２の一例を示す説明図である。情報処理装置１の制御部１１は、ユーザ端末２から空間情報を取得する（Ｓ１）。制御部１１は、概算負荷テーブル１２２を参照し、空間情報に含まれる部屋の用途及び建物内における部屋の位置（階数）に基づいて部屋の概算負荷を特定する（Ｓ２）。概算負荷テーブル１２２の管理項目（フィールド）は、例えば、用途フィールドと、階数フィールドと、概算負荷フィールドとを含む。用途フィールドには、部屋の用途が格納される。階数フィールドには、部屋が存在する階数が格能される。概算負荷フィールドには、１ｍ2 あたりの熱の概算負荷が格納される。制御部は、例えば用途がＬＤＫ、階数が最上階であった場合、１４０Ｗ／ｍ2 を概算負荷に特定する。 Figure 8 is a flowchart showing an example of the required capacity calculation process. Figure 9 is an explanatory diagram showing an example of the estimated load table 122. The control unit 11 of the information processing device 1 acquires spatial information from the user terminal 2 (S1). The control unit 11 refers to the estimated load table 122 and identifies the approximate load of the room based on the room's purpose and the room's position (floor) in the building included in the spatial information (S2). The management items (fields) of the estimated load table 122 include, for example, a purpose field, a floor field, and an approximate load field. The purpose field stores the purpose of the room. The floor field stores the floor on which the room is located. The approximate load field stores the approximate heat load per m2. For example, if the purpose is living/dining/kitchen area and the floor is the top floor, the control unit identifies the approximate load as 140 W/m2.
　制御部１１は、概算負荷に部屋の広さを乗算し、部屋の熱負荷を算出する（Ｓ３）。なお、制御部１１は、例えば、一畳を２ｍ2 として乗算を行う。制御部１１は、建物の種類が高気密高断熱住宅であるか否かを判定し（Ｓ４）、高気密高断熱住宅である場合（Ｓ４：ＹＥＳ）、Ｓ３において算出した熱負荷に０．８を乗算して補正する（Ｓ５）。高気密高断熱住宅でない場合（Ｓ４：ＮＯ）、制御部１１は熱負荷に１．０を乗算して補正する（Ｓ６）。制御部１１は、空間情報に含まれる窓の位置及び部屋に対する方角に基づいて、窓が南方向にあるか否かを判定する（Ｓ７）。窓が南側にある場合（Ｓ７：ＹＥＳ）、制御部１１は、Ｓ５またはＳ６において補正後の熱負荷に１．２を乗算して補正を行う（Ｓ８）。窓が南側にない場合、制御部１１は、Ｓ５またはＳ６において補正後の熱負荷に１．０を乗算して補正する（Ｓ９）。制御部１１は、Ｓ８またはＳ９において補正した熱負荷を推奨空調機器に必要な空調能力に決定し（Ｓ１０）、処理を終了する。 The control unit 11 multiplies the estimated load by the size of the room to calculate the thermal load of the room (S3). For example, the control unit 11 performs the multiplication assuming that one tatami mat is 2 m2. The control unit 11 determines whether the type of building is a highly airtight and highly insulated house (S4), and if it is a highly airtight and highly insulated house (S4: YES), the control unit 11 corrects the thermal load calculated in S3 by multiplying it by 0.8 (S5). If it is not a highly airtight and highly insulated house (S4: NO), the control unit 11 corrects the thermal load by multiplying it by 1.0 (S6). The control unit 11 determines whether the window is located in the south direction based on the window position and the direction to the room included in the spatial information (S7). If the window is located on the south side (S7: YES), the control unit 11 corrects the corrected thermal load in S5 or S6 by multiplying it by 1.2 (S8). If the window is not on the south side, the control unit 11 corrects the corrected thermal load in S5 or S6 by multiplying it by 1.0 (S9). The control unit 11 determines the thermal load corrected in S8 or S9 as the air conditioning capacity required for the recommended air conditioner (S10) and ends the process.
　図１０は、実施形態１に係る情報処理装置１の制御部１１の処理の一例を示すフローチャートである。図１１は、必要機能テーブル１２３の一例を示す説明図である。図１２は、理由テーブル１２４の一例を示す説明図である。情報処理装置１の制御部１１は、ユーザ端末２から空間情報及び設置位置が送信されると以下の処理を開始する。制御部１１は、ユーザ端末２から空間情報及び設置位置を取得する（Ｓ１１）。制御部１１は、空間情報に基づいて、ユーザが空調機器の設置を希望する部屋に必要な空調機器の空調能力を、図８に示す方法によって算出する（Ｓ１２）。 FIG. 10 is a flowchart showing an example of the processing of the control unit 11 of the information processing device 1 according to the first embodiment. FIG. 11 is an explanatory diagram showing an example of a required function table 123. FIG. 12 is an explanatory diagram showing an example of a reason table 124. The control unit 11 of the information processing device 1 starts the following processing when the spatial information and the installation position are transmitted from the user terminal 2. The control unit 11 acquires the spatial information and the installation position from the user terminal 2 (S11). Based on the spatial information, the control unit 11 calculates the air conditioning capacity of the air conditioning equipment required for the room in which the user wishes to install the air conditioning equipment by the method shown in FIG. 8 (S12).
　制御部１１は、空調機器テーブル１２１を参照し、Ｓ１２において算出された空調能力以上の空調能力を有する候補空調機器を抽出する（Ｓ１３）。なお、空調機器テーブル１２１に格納されるすべての候補空調機器を第１候補空調機器とし、Ｓ１３において抽出された候補空調機器を第２候補空調機器とする。制御部１１は、空間情報に含まれる部屋の広さ及び部屋の形状と、設置位置とに基づき、空調機器の設置位置から最も遠い部屋内の箇所までの距離、及び左右角度を算出する（Ｓ１４）。制御部１１は、Ｓ１４において算出した距離以上の気流到達距離を有し、かつ、左右気流拡散角度内にＳ１４において算出した左右角度が含まれる候補空調機器（第３候補空調機器）を第２候補空調機器から抽出する（Ｓ１５）。なお、制御部１１は、気流到達距離、または左右気流拡散角度のどちらか一方が条件に合致する候補空調機器を抽出してもよい。また、制御部１１は、空間情報、設置位置、気流到達距離、左右気流拡散角度に基づいて、部屋の内部において気流が到達する領域の割合を算出し、該割合が一定値以上である候補空調機器を抽出してもよい。 The control unit 11 refers to the air conditioning equipment table 121 and extracts candidate air conditioning equipment having an air conditioning capacity equal to or greater than the air conditioning capacity calculated in S12 (S13). All candidate air conditioning equipment stored in the air conditioning equipment table 121 are set as first candidate air conditioning equipment, and the candidate air conditioning equipment extracted in S13 is set as second candidate air conditioning equipment. The control unit 11 calculates the distance from the installation position of the air conditioning equipment to the farthest point in the room and the left and right angles based on the size and shape of the room included in the spatial information and the installation position (S14). The control unit 11 extracts candidate air conditioning equipment (third candidate air conditioning equipment) that has an airflow reach distance equal to or greater than the distance calculated in S14 and whose left and right airflow diffusion angle includes the left and right angle calculated in S14 from the second candidate air conditioning equipment (S15). The control unit 11 may extract candidate air conditioning equipment whose airflow reach distance or left and right airflow diffusion angle meets the conditions. The control unit 11 may also calculate the proportion of the area inside the room that the airflow reaches based on the spatial information, the installation position, the airflow reach distance, and the left and right airflow diffusion angle, and extract candidate air conditioning equipment whose proportion is equal to or exceeds a certain value.
　制御部１１は、空間情報に含まれる部屋の形状、及び部屋の用途に基づき、必要機能テーブル１２３（図１１参照）を参照して、推奨空調機器に必要な機能を特定する（Ｓ１６）。必要機能テーブル１２３の管理項目（フィールド）は、例えば、機能フィールドと、推奨条件フィールドとを含む。機能フィールドには、推奨空調機器に必要とされる可能性のある機能が格納される。推奨条件フィールドには、各機能が推奨空調機器に必要とされる空間情報の条件が格納される。なお、推奨条件フィールドに複数の条件が格納されている場合、各条件はＯＲ条件である。制御部１１は、例えば、部屋の内部において、空調機器から死角となる箇所がある場合、あるいは吹き抜けまたはロフトが存在する場合、サーキュレーション気流機能を必要な機能に特定する。部屋の形状が細長い、Ｌ字型、または２部屋使用（所定形状）である場合、制御部１１は、温度センシング機能を必要な機能に特定する。部屋の用途がキッチンまたは寝室等の人の所在場所が限定される用途（所定用途）である場合、制御部１１は、人検知機能を必要な機能に特定する。なお、複数の機能が必要な機能として特定される場合もある。また、条件に対して必要とされる機能はこれに限られず、例えば、部屋の形状が細長い、Ｌ字型、または２部屋使用（所定形状）である場合、必要な機能として人検知機能が特定されてもよい。また、部屋の用途がキッチンまたは寝室等の人の所在場所が限定される用途（所定用途）である場合、必要な機能として温度センシング機能が特定されてもよい。制御部１１は、第３候補空調機器のうち、Ｓ１６において特定した必要な機能を備える空調機器を推奨空調機器に特定する（Ｓ１７）。なお、制御部１１は、該当する第３候補空調機器が複数ある場合、該複数の第３候補空調機器のうち、空調能力が一番低い候補空調機器を推奨空調機器に特定する。 Based on the shape of the room and the purpose of the room included in the spatial information, the control unit 11 refers to the necessary function table 123 (see FIG. 11) to identify the functions required for the recommended air conditioner (S16). The management items (fields) of the necessary function table 123 include, for example, a function field and a recommended condition field. The function field stores functions that may be required for the recommended air conditioner. The recommended condition field stores the spatial information conditions for which each function is required for the recommended air conditioner. If multiple conditions are stored in the recommended condition field, each condition is an OR condition. For example, if there is a blind spot from the air conditioner inside the room, or if there is an open ceiling or loft, the control unit 11 identifies the circulation airflow function as the required function. If the shape of the room is long and narrow, L-shaped, or used by two rooms (predetermined shape), the control unit 11 identifies the temperature sensing function as the required function. If the purpose of the room is a purpose in which the location of people is limited (predetermined purpose), such as a kitchen or bedroom, the control unit 11 identifies the human detection function as the required function. Note that multiple functions may be identified as necessary functions. Furthermore, the functions required for the conditions are not limited to these. For example, if the shape of the room is long and narrow, L-shaped, or used by two rooms (predetermined shape), a human detection function may be identified as a necessary function. Furthermore, if the room is used for a purpose in which the location of people is limited (predetermined purpose), such as a kitchen or bedroom, a temperature sensing function may be identified as a necessary function. The control unit 11 identifies, among the third candidate air conditioners, an air conditioner having the necessary functions identified in S16 as a recommended air conditioner (S17). Note that, if there are multiple applicable third candidate air conditioners, the control unit 11 identifies, among the multiple third candidate air conditioners, the candidate air conditioner with the lowest air conditioning capacity as a recommended air conditioner.
　制御部１１は、Ｓ１７において推奨空調機器を特定後、理由テーブル１２４（図１２参照）を参照して、ユーザ端末２に送信する推奨空調機器を特定した理由を選定する（Ｓ１８）。理由テーブルの管理項目（フィールド）は、例えば、理由フィールドと、条件フィールドとを含む。理由フィールドには、ユーザ端末２に送信（出力）される理由の文章の基になるテンプレートが格納される。条件フィールドには、理由フィールドに格納されているテンプレートがユーザ端末２に出力されるための空間情報の条件が格納されている。制御部１１は、理由テーブル１２４を参照し、取得した空間情報に対応する理由を選定する。 After identifying the recommended air conditioning equipment in S17, the control unit 11 refers to the reason table 124 (see FIG. 12) and selects the reason for identifying the recommended air conditioning equipment to be sent to the user terminal 2 (S18). The management items (fields) of the reason table include, for example, a reason field and a condition field. The reason field stores a template that forms the basis of the reason text to be sent (output) to the user terminal 2. The condition field stores the spatial information conditions for outputting the template stored in the reason field to the user terminal 2. The control unit 11 refers to the reason table 124 and selects a reason that corresponds to the acquired spatial information.
　制御部１１は、推奨空調機器及びＳ１８において選定した理由をユーザ端末２に出力（送信）し（Ｓ１９）、処理を終了する。なお、Ｓ１８において複数の理由のテンプレートが選定されている場合、制御部１１は、該複数のテンプレートを複合した文章を理由としてユーザ端末２に送信する。 The control unit 11 outputs (transmits) the recommended air conditioning equipment and the reason selected in S18 to the user terminal 2 (S19), and ends the process. Note that if multiple reason templates were selected in S18, the control unit 11 transmits a sentence that combines the multiple templates as the reason to the user terminal 2.
　以上の構成及び処理によれば、ユーザが希望する空調機器の設置位置に基づいて、好適な空調機器を推奨空調機器として特定し、出力することが可能である。また、推奨空調機器を特定した理由を出力することが出来るので、ユーザの空調機器の購買意欲を高めることが可能である。 The above configuration and processing make it possible to identify and output a suitable air conditioner as a recommended air conditioner based on the installation location of the air conditioner desired by the user. In addition, since it is possible to output the reason why the recommended air conditioner was identified, it is possible to increase the user's desire to purchase an air conditioner.
（実施形態２）
　実施形態２に係る情報処理装置１の記憶部１２は、取得した空間情報及び設置位置を入力すると、候補空調機器それぞれが推奨空調機器となる確度を出力する学習モデルである、空調機器推奨モデルＭ１を記憶している。制御部１１は、空調機器推奨モデルＭ１に空間情報及び設置位置を入力し、出力された確度が一番高い候補空調機器を推奨空調機器とする。 (Embodiment 2)
The storage unit 12 of the information processing device 1 according to the second embodiment stores an air conditioner recommendation model M1, which is a learning model that outputs the likelihood that each candidate air conditioner will become a recommended air conditioner when the acquired spatial information and installation location are input. The control unit 11 inputs the spatial information and the installation location into the air conditioner recommendation model M1, and sets the candidate air conditioner with the highest output likelihood as the recommended air conditioner.
　図１３は、実施形態２に係る情報処理装置１の構成例を示すブロック図である。実施形態２に係る記憶部１２は、空調機器推奨モデルＭ１を記憶している。空調機器推奨モデルＭ１は、制御部１１に読み出されて用いられるものであり、演算処理能力を有する制御部１１によって実行されることによってシステムが構成される。 FIG. 13 is a block diagram showing an example of the configuration of an information processing device 1 according to embodiment 2. The storage unit 12 according to embodiment 2 stores an air conditioner recommendation model M1. The air conditioner recommendation model M1 is read out and used by the control unit 11, and is executed by the control unit 11, which has a calculation processing capacity, to configure the system.
　図１４は、空調機器推奨モデルＭ１の一例を示す説明図である。空調機器推奨モデルＭ１は、空間情報及び設置位置を入力データとして、各候補空調機器が推奨空調機器となる確度を出力する。なお、空間情報に含まれる部屋の形状及び窓の位置と、吹き抜けまたはロフトの位置（部屋の間取り）と、空調機器の設置位置とは、図４Ｂ、図４Ｃ、及び図４Ｄに示す画面において入力を受け付けた際の平面図形の画像データとして空調機器推奨モデルＭ１に入力される。なお、部屋の形状及び窓の位置と、吹き抜けまたはロフトの位置（部屋の間取り）と、空調機器の設置位置とは、平面図形における座標値によって空調機器推奨モデルＭ１に入力されてもよい。 FIG. 14 is an explanatory diagram showing an example of the air conditioning equipment recommendation model M1. The air conditioning equipment recommendation model M1 takes spatial information and installation positions as input data and outputs the likelihood that each candidate air conditioning equipment will become a recommended air conditioning equipment. The room shape and window positions, the atrium or loft position (room layout), and the air conditioning equipment installation positions included in the spatial information are input to the air conditioning equipment recommendation model M1 as image data of a planar figure when input is accepted on the screens shown in FIGS. 4B, 4C, and 4D. The room shape and window positions, the atrium or loft position (room layout), and the air conditioning equipment installation positions may also be input to the air conditioning equipment recommendation model M1 using coordinate values in a planar figure.
　空調機器推奨モデルＭ１は、例えばニューラルネットワークを用いた機械学習により生成されている。ただし機械学習はニューラルネットワーク以外の手法により行われてもよい。例えば、ＬＳＴＭ（Long Short Term Memory）、Transformer、ＳＶＭ（Support Vector Machine）、決定木、ＸＧＢｏｏｓｔ（eXtreme Gradient Boosting）、ＬＧＢｏｏｓｔ（Light Gradient Boosting）又はｋ近傍法等の種々の機械学習の方法が採用され得る。 The air conditioning equipment recommendation model M1 is generated by machine learning using, for example, a neural network. However, machine learning may be performed by methods other than neural networks. For example, various machine learning methods such as LSTM (Long Short Term Memory), Transformer, SVM (Support Vector Machine), decision trees, XGBoost (eXtreme Gradient Boosting), LGBoost (Light Gradient Boosting), or k-nearest neighbors may be adopted.
　空調機器推奨モデルＭ１に含まれる入力層は、空間情報に含まれる各情報及び設置位置を受け付ける複数のニューロンを有し、入力された空間情報に含まれる各情報及び設置位置を中間層に受け渡す。中間層は、空間情報に含まれる各情報及び設置位置の特徴量を抽出する複数のニューロンを有し、抽出した特徴量を出力層に受け渡す。出力層は、中間層から出力された特徴量に基づいて、候補空調機器が推奨空調機器となる確度を出力する。空調機器推奨モデルＭ１は、過去に購入された空調機器が設置された部屋の空間情報及び設置位置と、空調機器の機種名とを紐づけた訓練データを用いて学習される。 The input layer included in the air conditioning equipment recommendation model M1 has multiple neurons that accept each piece of information included in the spatial information and the installation position, and passes each piece of information included in the input spatial information and the installation position to the middle layer. The middle layer has multiple neurons that extract features of each piece of information included in the spatial information and the installation position, and passes the extracted features to the output layer. The output layer outputs the likelihood that a candidate air conditioning equipment will be a recommended air conditioning equipment based on the features output from the middle layer. The air conditioning equipment recommendation model M1 learns using training data that links the spatial information and installation positions of rooms in which previously purchased air conditioning equipment was installed to the model names of the air conditioning equipment.
　情報処理装置１の制御部１１は、空調機器推奨モデルＭ１によって各候補空調機器が推奨空調機器となる確度を出力後、該確度が一番高い候補空調機器を推奨空調機器に特定し、ユーザ端末２に送信（出力）する。本例においては、機種：Ｂ００２の確度が最も高いため、制御部１１は、機種：Ｂ００２の候補空調機器を推奨空調機器に特定する。なお、制御部１１は、空調機器推奨モデルＭ１に入力される空間情報に含まれる各情報の寄与度を算出することにより、出力される確度に最も寄与した情報を特定し、該当情報を、推奨空調機器を特定した理由としてユーザ端末２に送信（出力）してもよい。寄与度の算出方法は限定されるものではないが、例えばＳＨＡＰ（SHapley Additive exPlanation）、ＬＩＭＥ（Local Interpretable Model-Agnostic Explanations）、またはAttention機構等を利用することができる。情報の寄与度が大きいほど、確度の出力に及ぼす影響が大きいことを示す。 The control unit 11 of the information processing device 1 outputs the probability that each candidate air conditioner will become a recommended air conditioner using the air conditioner recommendation model M1, and then specifies the candidate air conditioner with the highest probability as the recommended air conditioner, and transmits (outputs) it to the user terminal 2. In this example, since model: B002 has the highest probability, the control unit 11 specifies the candidate air conditioner of model: B002 as the recommended air conditioner. The control unit 11 may calculate the contribution of each piece of information included in the spatial information input to the air conditioner recommendation model M1 to specify the information that contributed most to the output probability, and transmit (output) the corresponding information to the user terminal 2 as the reason for specifying the recommended air conditioner. The method of calculating the contribution is not limited, but may use, for example, SHAP (SHapley Additive exPlanation), LIME (Local Interpretable Model-Agnostic Explanations), or an Attention mechanism. The greater the contribution of the information, the greater the influence on the output of the probability.
　図１５は、実施形態２に係る情報処理装置１の制御部１１の処理の一例を示すフローチャートである。制御部１１は、ユーザ端末２から空間情報及び設置位置を取得する（Ｓ２１）。制御部１１は、空間情報及び設置位置を空調機器推奨モデルＭ１に入力する（Ｓ２２）。制御部１１は、各候補空調機器が推奨空調機器となる確度を出力する（Ｓ２３）。制御部１１は、確度が最も高い候補空調機器を推奨空調機器に特定する（Ｓ２４）。制御部１１は、Ｓ２４において特定した推奨空調機器をユーザ端末２に送信（出力）し（Ｓ２５）、処理を終了する。 FIG. 15 is a flowchart showing an example of processing by the control unit 11 of the information processing device 1 according to the second embodiment. The control unit 11 acquires spatial information and installation positions from the user terminal 2 (S21). The control unit 11 inputs the spatial information and installation positions into the air conditioning equipment recommendation model M1 (S22). The control unit 11 outputs the probability that each candidate air conditioning equipment will become a recommended air conditioning equipment (S23). The control unit 11 identifies the candidate air conditioning equipment with the highest probability as the recommended air conditioning equipment (S24). The control unit 11 transmits (outputs) the recommended air conditioning equipment identified in S24 to the user terminal 2 (S25) and ends the processing.
（実施形態３）
　実施形態３に係る情報処理装置１の制御部１１は、推奨空調機器を特定する際に、空間情報に基づいて、ユーザに対して推奨空調機器を補助するための付帯機器を特定し、推奨付帯機器とする。付帯機器は、例えば、エアーコンディショナー、空気清浄機、サーキュレータ、扇風機、またはファンを含む。また、制御部１１は、空間情報及び設置位置に基づいて推奨付帯機器の推奨設置位置を特定する。 (Embodiment 3)
When identifying a recommended air conditioner, the control unit 11 of the information processing device 1 according to the third embodiment identifies, for the user, auxiliary equipment for supporting the recommended air conditioner based on the spatial information, and sets the auxiliary equipment as the recommended auxiliary equipment. The auxiliary equipment includes, for example, an air conditioner, an air purifier, a circulator, an electric fan, or a fan. The control unit 11 also identifies a recommended installation position of the recommended auxiliary equipment based on the spatial information and the installation position.
　図１６は、実施形態３に係る情報処理装置１の構成例を示すブロック図である。実施形態３に係る情報処理装置１の記憶部１２は、付帯機器テーブル１２５を記憶している。 FIG. 16 is a block diagram showing an example of the configuration of an information processing device 1 according to embodiment 3. The storage unit 12 of the information processing device 1 according to embodiment 3 stores an accessory device table 125.
　図１７は、付帯機器テーブル１２５の一例を示す説明図である。付帯機器テーブル１２５の管理項目（フィールド）は、付帯機器名フィールドと、推奨条件フィールドと、設置箇所条件フィールドとを含む。付帯機器名フィールドには、推奨付帯機器の候補となる候補付帯機器の製品名が格納される。なお、付帯機器名フィールドには、候補付帯機器の機種名が格納されてもよい。推奨条件フィールドには、候補付帯機器が推奨付帯機器として特定されるための条件が格納されている。なお、本実施形態における付帯機器テーブル１２５の推奨条件フィールドにおいて、条件が複数ある場合、各条件はＡＮＤ条件である。設置箇所条件フィールドには、推奨付帯機器となる候補付帯機器が設置される箇所の条件が格納されている。 FIG. 17 is an explanatory diagram showing an example of the auxiliary equipment table 125. The management items (fields) of the auxiliary equipment table 125 include an auxiliary equipment name field, a recommended condition field, and an installation location condition field. The auxiliary equipment name field stores the product name of a candidate auxiliary equipment that is a candidate for a recommended auxiliary equipment. The auxiliary equipment name field may store the model name of the candidate auxiliary equipment. The recommended condition field stores the conditions for identifying a candidate auxiliary equipment as a recommended auxiliary equipment. In this embodiment, when there are multiple conditions in the recommended condition field of the auxiliary equipment table 125, each condition is an AND condition. The installation location condition field stores the conditions of the location where the candidate auxiliary equipment that will become the recommended auxiliary equipment will be installed.
　情報処理装置１の制御部１１は、付帯機器テーブル１２５を参照し、ユーザ端末２において入力を受け付けた空間情報が推奨条件フィールドに格納されている条件に合致する候補付帯機器を推奨付帯機器に特定する。なお、空間情報がいずれの候補付帯機器の条件にも合致しない場合、制御部１１は、推奨付帯機器がないものとする。また、制御部１１は、空間情報に含まれる部屋の形状と、空調機器の設置位置に基づいて、部屋の形状を示す平面図形において、推奨付帯機器となった付帯機器の設置箇所条件フィールドに格納されている条件に合致する箇所を、推奨設置箇所に特定する。 The control unit 11 of the information processing device 1 refers to the accessory device table 125 and identifies candidate accessory devices that match the conditions stored in the recommended condition field of the spatial information received as input at the user terminal 2 as recommended accessory devices. If the spatial information does not match the conditions of any of the candidate accessory devices, the control unit 11 determines that there is no recommended accessory device. Furthermore, based on the shape of the room included in the spatial information and the installation position of the air conditioning device, the control unit 11 identifies a location in the plan view showing the shape of the room that matches the conditions stored in the installation location condition field of the accessory device that has become the recommended accessory device as the recommended installation location.
　図１８は、推奨付帯機器表示画面の一例を示す説明図である。ユーザ端末２の端末制御部２１は、情報処理装置から受信した推奨付帯機器と、空調機器の設置位置及び推奨付帯機器の推奨設置箇所を表示した空間の形状を示す平面図形を表示部２５に表示させる。 FIG. 18 is an explanatory diagram showing an example of a recommended additional equipment display screen. The terminal control unit 21 of the user terminal 2 causes the display unit 25 to display the recommended additional equipment received from the information processing device, as well as a plan view showing the shape of the space in which the installation positions of the air conditioners and the recommended installation locations of the recommended additional equipment are displayed.
　端末制御部２１は、例えば、推奨付帯機器表示画面において、推奨付帯機器の名称と、画像を表示部２５に表示させる。図１８に示す例においては、扇風機が推奨付帯機器として表示されている。 The terminal control unit 21, for example, causes the display unit 25 to display the name and image of the recommended accessory device on the recommended accessory device display screen. In the example shown in FIG. 18, an electric fan is displayed as a recommended accessory device.
　端末制御部２１は、推奨付帯機器表示画面において、入力受付画面において選択を受け付けた部屋の形状を示す平面図を出力する。さらに、端末制御部２１は、情報処理装置１から受信した推奨設置箇所の座標に基づき、該平面図上に、推奨設置箇所を表示する。図１８に示す例においては、星印によって推奨設置箇所が示されている。 The terminal control unit 21 outputs, on the recommended accessory device display screen, a floor plan showing the shape of the room for which the selection has been accepted on the input acceptance screen. Furthermore, the terminal control unit 21 displays the recommended installation location on the floor plan based on the coordinates of the recommended installation location received from the information processing device 1. In the example shown in FIG. 18, the recommended installation location is indicated by a star.
　図１９は、実施形態３に係る情報処理装置１の制御部１１の処理の一例を示すフローチャートである。制御部１１は、ユーザ端末２から空間情報及び空調機器の設置位置を取得する（Ｓ３１）。制御部１１は、付帯機器テーブル１２５を参照し、取得した空間情報が推奨条件フィールドに格納される条件に合致する候補付帯機器を推奨付帯機器に特定する（Ｓ３２）。制御部１１は、空間情報に含まれる部屋の形状と、空調機器の設置位置に基づいて、部屋の形状を示す平面図形において、推奨付帯機器となった付帯機器の設置箇所条件フィールドに格納されている条件に合致する箇所を、推奨設置箇所に特定する（Ｓ３３）。制御部１１は、推奨付帯機器及び推奨設置箇所をユーザ端末２に送信し（Ｓ３４）、処理を終了する。 FIG. 19 is a flowchart showing an example of processing by the control unit 11 of the information processing device 1 according to the third embodiment. The control unit 11 acquires spatial information and the installation positions of the air conditioning equipment from the user terminal 2 (S31). The control unit 11 refers to the accessory table 125 and identifies candidate accessory equipment for which the acquired spatial information matches the conditions stored in the recommended condition field as recommended accessory equipment (S32). Based on the shape of the room included in the spatial information and the installation positions of the air conditioning equipment, the control unit 11 identifies a location in the plan view showing the shape of the room that matches the conditions stored in the installation location condition field of the accessory equipment that has become the recommended accessory equipment as the recommended installation location (S33). The control unit 11 transmits the recommended accessory equipment and the recommended installation location to the user terminal 2 (S34) and ends the processing.
　本実施形態において、情報処理装置１の制御部１１は、付帯機器テーブル１２５を参照することによって推奨付帯機器及び推奨設置箇所を特定したが、推奨付帯機器及び推奨設置箇所を特定する方法はこれに限られない。例えば、制御部１１は、空間情報、推奨空調機器に関する情報、または空調機器の設置位置を入力すると各候補付帯機器が推奨付帯機器となる確度を出力する学習モデルによって推奨付帯機器を特定してもよい。なお、空調機器推奨モデルＭ１によって付帯機器は特定されてもよい。また、空間情報、空調機器の設置位置、推奨空調機器に関する情報、または推奨付帯機器に関する情報を入力すると部屋内における推奨付帯機器の推奨設置箇所の座標を出力する学習モデルによって推奨設置箇所を特定してもよい。なお、制御部１１は、ＧＡＮ（Generative Adversarial Networks）、またはＵ―ＮＥＴなどの画像生成が可能な学習モデルにより、部屋の平面図形上に推奨設置箇所を表示した画像を生成することによって推奨設置箇所を特定してもよい。 In this embodiment, the control unit 11 of the information processing device 1 identifies the recommended auxiliary equipment and the recommended installation location by referring to the auxiliary equipment table 125, but the method of identifying the recommended auxiliary equipment and the recommended installation location is not limited to this. For example, the control unit 11 may identify the recommended auxiliary equipment by a learning model that outputs the likelihood that each candidate auxiliary equipment will become a recommended auxiliary equipment when spatial information, information about the recommended air conditioner, or the installation location of the air conditioner is input. The auxiliary equipment may be identified by the air conditioner recommendation model M1. The recommended installation location may also be identified by a learning model that outputs the coordinates of the recommended installation location of the recommended auxiliary equipment in the room when spatial information, the installation location of the air conditioner, information about the recommended air conditioner, or information about the recommended auxiliary equipment is input. The control unit 11 may identify the recommended installation location by generating an image that displays the recommended installation location on a plan view of the room using a learning model capable of generating images such as GAN (Generative Adversarial Networks) or U-NET.
（実施形態４）
　実施形態４に係る情報処理装置１の制御部１１は、空間情報、設置位置、及び候補空調機器の性能に基づいて、ユーザが空調機器の設置を希望する部屋に各候補空調機器に設置した場合の温度分布、湿度分布、または気流をシミュレーションし、シミュレーション結果が最も好適な候補空調機器を推奨空調機器に特定する。 (Embodiment 4)
The control unit 11 of the information processing device 1 according to the fourth embodiment simulates the temperature distribution, humidity distribution, or airflow when each candidate air conditioning device is installed in a room in which a user wishes to install the air conditioning device, based on spatial information, installation locations, and performance of the candidate air conditioning devices, and identifies the candidate air conditioning device that is most suitable as a result of the simulation as the recommended air conditioning device.
　図２０は、実施形態４に係る情報処理装置１の構成例を示すブロック図である。実施形態４に係る情報処理装置１の記憶部１２は、シミュレーションプログラムＰｓ（シミュレーター）を記憶している。シミュレーションプログラムＰｓは制御部１１によって実行され、空間情報、設置位置、及び候補空調機器の性能の入力を受け付けると、温度分布解析、湿度分布解析、または気流解析を含むシミュレーションを行う。なお、シミュレーションプログラムＰｓは、ＬＳＴＭなどの時系列データを入力データとして出力可能な学習モデルによるものでも良い。 FIG. 20 is a block diagram showing an example of the configuration of an information processing device 1 according to embodiment 4. The storage unit 12 of the information processing device 1 according to embodiment 4 stores a simulation program Ps (simulator). The simulation program Ps is executed by the control unit 11, and upon receiving input of spatial information, installation positions, and performance of candidate air-conditioning equipment, performs a simulation including temperature distribution analysis, humidity distribution analysis, or airflow analysis. Note that the simulation program Ps may be based on a learning model capable of outputting time-series data such as LSTM as input data.
　制御部１１は、ユーザ端末２から取得した空間情報及び設置位置と、空調機器テーブル１２１に格納されている候補空調機器の性能をシミュレーションプログラムに入力し、シミュレーション結果を出力する。シミュレーション結果には、温度分布解析結果、湿度分布解析結果、または気流解析結果が含まれる。制御部１１は、例えば、シミュレーション結果に基づき、部屋内の温度分布のバラつきを示す温度分布偏差、湿度分布のバラつきを示す湿度分布偏差、または気流速度のバラつきを示す気流速度偏差を算出する。制御部１１は、温度分布偏差、湿度分布偏差、または気流速度偏差が最も小さい候補空調機器を推奨空調機器に特定する。なお、制御部１１は、温度分布偏差、湿度分布偏差、及び気流速度偏差すべてに基づいて推奨空調機器を特定してもよい。 The control unit 11 inputs the spatial information and installation location acquired from the user terminal 2 and the performance of the candidate air conditioning equipment stored in the air conditioning equipment table 121 into the simulation program and outputs the simulation results. The simulation results include temperature distribution analysis results, humidity distribution analysis results, and airflow analysis results. For example, the control unit 11 calculates a temperature distribution deviation indicating the variation in temperature distribution in the room, a humidity distribution deviation indicating the variation in humidity distribution, or an airflow velocity deviation indicating the variation in airflow velocity based on the simulation results. The control unit 11 identifies the candidate air conditioning equipment with the smallest temperature distribution deviation, humidity distribution deviation, or airflow velocity deviation as the recommended air conditioning equipment. Note that the control unit 11 may identify the recommended air conditioning equipment based on all of the temperature distribution deviation, humidity distribution deviation, and airflow velocity deviation.
　図２１は、実施形態４に係る情報処理装置１の制御部１１の処理の一例を示すフローチャートである。制御部１１は、ユーザ端末２から空間情報及び設置位置を取得する（Ｓ４１）。制御部１１は、空調機器テーブル１２１から候補空調機器の性能を読み出す（Ｓ４２）。制御部１１は、空間情報、設置位置、及び候補空調機器の性能をシミュレーションプログラムＰｓに入力し（Ｓ４３）、シミュレーション結果を出力する（Ｓ４４）。制御部１１は、シミュレーション結果に基づいて温度分布偏差、湿度分布偏差、または気流速度偏差を算出する（Ｓ４５）。制御部１１は、温度分布偏差、湿度分布偏差、または気流速度偏差が最も小さい候補空調機器を推奨空調機器に特定する（Ｓ４６）。制御部１１は、推奨空調機器をユーザ端末２に送信（出力）し（Ｓ４７）、処理を終了する。 FIG. 21 is a flowchart showing an example of processing by the control unit 11 of the information processing device 1 according to the fourth embodiment. The control unit 11 acquires spatial information and installation positions from the user terminal 2 (S41). The control unit 11 reads out the performance of the candidate air conditioning equipment from the air conditioning equipment table 121 (S42). The control unit 11 inputs the spatial information, installation positions, and performance of the candidate air conditioning equipment into the simulation program Ps (S43) and outputs the simulation results (S44). The control unit 11 calculates the temperature distribution deviation, humidity distribution deviation, or airflow velocity deviation based on the simulation results (S45). The control unit 11 identifies the candidate air conditioning equipment with the smallest temperature distribution deviation, humidity distribution deviation, or airflow velocity deviation as the recommended air conditioning equipment (S46). The control unit 11 transmits (outputs) the recommended air conditioning equipment to the user terminal 2 (S47) and ends the processing.
（実施形態５）
　実施形態５に係る情報処理装置１の制御部１１は、ユーザ端末２から、ユーザが空調機器の設置を希望する部屋（空間）の内部を撮影した撮影画像を取得し、取得した撮影画像に基づいて、部屋の形状、部屋の広さ、部屋の用途、窓の位置、及び部屋の間取りを推定する。制御部１１は、推定した部屋の形状、部屋の広さ、部屋の用途、窓の位置、及び部屋の間取り（空間情報）に基づいて、推奨空調機器を特定する。 (Embodiment 5)
The control unit 11 of the information processing device 1 according to the fifth embodiment acquires from the user terminal 2 a captured image of the interior of a room (space) in which a user desires to install an air conditioner, and estimates the shape, size, purpose, window position, and layout of the room based on the acquired captured image. The control unit 11 identifies recommended air conditioners based on the estimated shape, size, purpose, window position, and layout of the room (spatial information).
　図２２は、実施形態５に係る情報処理装置１の構成例を示すブロック図である。実施形態５に係る情報処理装置１の記憶部１２は、物体検出モデルＭ４を記憶している。物体検出モデルＭ４の詳細については後述する。 FIG. 22 is a block diagram showing an example of the configuration of an information processing device 1 according to embodiment 5. The storage unit 12 of the information processing device 1 according to embodiment 5 stores an object detection model M4. Details of the object detection model M4 will be described later.
　図２３は、実施形態５に係るユーザ端末２の構成例を示すブロック図である。実施形態５に係るユーザ端末２は、撮影部２６を備える。ユーザ端末２がスマートフォンである場合、撮影部２６は、スマートフォンに内蔵されているカメラによるものである。 FIG. 23 is a block diagram showing an example of the configuration of a user terminal 2 according to embodiment 5. The user terminal 2 according to embodiment 5 includes a photographing unit 26. When the user terminal 2 is a smartphone, the photographing unit 26 is a camera built into the smartphone.
　図２４は、撮影画像の一例を示す説明図である。ユーザ端末２は、ユーザの操作により、部屋の内部の撮影画像を撮影し、情報処理装置１に送信する。撮影画像は、可能な限り部屋の内部の広範囲を撮影されたものが望ましい。なお、ユーザ端末２は、一の部屋に対して複数の撮影画像を撮影し、情報処理装置１に送信してもよい。 FIG. 24 is an explanatory diagram showing an example of a captured image. The user terminal 2 captures an image of the interior of a room through user operation and transmits it to the information processing device 1. It is desirable for the captured image to capture as wide an area of the interior of the room as possible. Note that the user terminal 2 may capture multiple images of one room and transmit them to the information processing device 1.
　図２５は、物体検出モデルＭ４の一例を示す説明図である。物体検出モデルＭ４は、例えば、ＲＣＮＮ（Regions with Convolutional Neural Network）、Ｆａｓｔ ＲＣＮＮ、Ｆａｓｔｅｒ ＲＣＮＮ、ＳＳＤ（Single Shot Multibook Detector）、又はＹＯＬＯ（You Only Look Once）、等、撮影画像内に含まれる物体を検出する学習モデルである。物体検出モデルが例えばＲＣＮＮ等の画像の特徴量を抽出するＣＮＮ（Convolutional Neural Network）を含むニューラルネットワークで構成される場合、物体検出モデルＭ４は、撮影画像の画素値の入力を受け付ける複数のニューロンを有し、入力された画素値を中間層に受け渡す。中間層は撮影画像の画像特徴量を抽出する複数のニューロンを有し、抽出した画像特徴量を出力層に受け渡す。出力層は、画像特徴量に基づき、撮影画像内における部屋の角、キッチンなどの設備、家具などの物体、及び窓などの位置を出力する。 25 is an explanatory diagram showing an example of the object detection model M4. The object detection model M4 is a learning model that detects objects contained in a captured image, such as RCNN (Regions with Convolutional Neural Network), Fast RCNN, Faster RCNN, SSD (Single Shot Multibook Detector), or YOLO (You Only Look Once). When the object detection model is configured with a neural network including a CNN (Convolutional Neural Network) that extracts image features such as RCNN, the object detection model M4 has a plurality of neurons that accept input of pixel values of the captured image, and passes the input pixel values to the intermediate layer. The intermediate layer has a plurality of neurons that extract image features of the captured image, and passes the extracted image features to the output layer. The output layer outputs the positions of room corners, equipment such as a kitchen, objects such as furniture, and windows in the captured image based on the image features.
　情報処理装置１の制御部１１は、物体検出モデルＭ４によって出力された部屋の角の位置に基づいて、部屋の形状を推定する。なお、制御部１１は、ユーザ端末が備えるＬｉｄａｒ（Light Detection And Ranging）、または赤外線センサなどの機能により測定された部屋内の距離、あるいはＳＬＡＭ（Simultaneous Localization and Mapping）技術によるマッピングに基づいて部屋の形状を推定してもよい。また、制御部１１は、設備及び物体の位置に基づいて、部屋の広さ、部屋の用途、及び部屋の間取りを推定する。さらに、制御部１１は、撮影画像内における窓の位置に基づいて、部屋内における窓の位置を推定する。また、情報処理装置１の制御部１１は、撮影画像内における部屋の角及び窓の位置に基づいて、空調機器の設置が可能な設置可能位置を特定する。具体的には、制御部１１は、壁面における一定面積以上の窓が存在しない平面を設置可能位置として特定する。なお、制御部１１は、エアーコンディショナー用のコンセントが存在する箇所を設置可能位置として特定してもよい。 The control unit 11 of the information processing device 1 estimates the shape of the room based on the positions of the corners of the room output by the object detection model M4. The control unit 11 may estimate the shape of the room based on distances in the room measured by a function such as Lidar (Light Detection And Ranging) or an infrared sensor provided in the user terminal, or mapping by SLAM (Simultaneous Localization and Mapping) technology. The control unit 11 also estimates the size, purpose, and layout of the room based on the positions of the equipment and objects. Furthermore, the control unit 11 estimates the positions of windows in the room based on the positions of the windows in the captured image. The control unit 11 of the information processing device 1 also identifies possible installation positions where air conditioning equipment can be installed based on the positions of the corners of the room and the windows in the captured image. Specifically, the control unit 11 identifies a plane on the wall surface on which there is no window of a certain area or more as a possible installation position. The control unit 11 may also identify a location where an outlet for the air conditioner is present as a possible installation position.
　図２６は、実施形態５に係る設置位置入力受付画面の一例を示す説明図である。情報処理装置１の制御部１１は、特定した設置可能位置をユーザ端末２に送信する。ユーザ端末２の端末制御部２１は、表示部２５に撮影画像を表示させるとともに、情報処理装置１から取得した設置可能位置を撮影画像上に表示させる。図２６Ａは、設置可能位置表示画面を示す。設置可能位置は、例えば、図２６Ａに示すように、斜線が表示されることによって示される。図２６Ｂは、設置位置の表示画面を示す。設置位置は、例えば、図２６Ｂに示すように、ユーザが空調機器の設置を希望する位置を囲むようになぞることによって入力される。 FIG. 26 is an explanatory diagram showing an example of an installation position input reception screen according to embodiment 5. The control unit 11 of the information processing device 1 transmits the identified possible installation positions to the user terminal 2. The terminal control unit 21 of the user terminal 2 causes the display unit 25 to display the captured image, and also causes the possible installation positions acquired from the information processing device 1 to be displayed on the captured image. FIG. 26A shows the possible installation position display screen. The possible installation positions are indicated by, for example, diagonal lines as shown in FIG. 26A. FIG. 26B shows the installation position display screen. The installation position is input by, for example, tracing around the position where the user wishes to install the air conditioner, as shown in FIG. 26B.
　図２７は、実施形態５に係る情報処理装置１の制御部１１及びユーザ端末２の端末制御部２１の処理の一例を示すフローチャートである。ユーザ端末２の端末制御部２１は、撮影部２６に部屋の内部の画像を撮影させ（Ｓ５１）、撮影した画像（撮影画像）を情報処理装置１に送信する（Ｓ５２）。情報処理装置１の制御部１１は、ユーザ端末２から部屋の内部の撮影画像を取得（受信）する（Ｓ５３）。制御部１１は、撮影画像を物体検出モデルＭ４に入力し（Ｓ５４）、撮影画像内における部屋の角、設備、物体、及び窓の位置を出力する（Ｓ５５）。制御部１１は、Ｓ５５において出力された撮影画像内における部屋の角、設備、及び物体の位置に基づいて、部屋の容積、部屋の広さ、部屋の用途、部屋の形状（部屋の平面図形）及び部屋の間取りを推定する（Ｓ５６）。制御部１１は、撮影画像内における窓の位置に基づいて、部屋の平面図形における窓の位置を推定する（Ｓ５７）。制御部１１は、部屋の角及び窓の位置に基づいて、撮影画像における空調機器の設置が可能な設置可能位置を特定する（Ｓ５８）。制御部１１は、Ｓ５８において特定した空調機の設置可能位置をユーザ端末２に送信（出力）する（Ｓ５９）。ユーザ端末２の端末制御部２１は、設置可能位置を情報処理装置１から取得（受信）し（Ｓ６０）、表示部２５に、設置可能位置を撮影画像上に表示させる（Ｓ６１）。端末制御部２１は、ユーザから撮影画像における空調機器の設置位置の入力を受け付け（Ｓ６２）、入力を受け付けた撮影画像における設置位置を情報処理装置１に送信する（Ｓ６３）。情報処理装置１の制御部１１は、ユーザ端末２から撮影画像における設置位置を受信する（Ｓ６４）。制御部１１は、撮影画像における設置位置に基づいて、部屋の平面図形における設置位置を推定する（Ｓ６５）。制御部１１は、Ｓ５６及びＳ５７において推定した空間情報及びＳ６５おいて推定した部屋の平面図形における設置位置を、実施形態２と同様に空調機器推奨モデルＭ１に入力する（Ｓ６６）。なお、本実施形態における、空調機器推奨モデルＭ１に入力される空間情報には、部屋の容積が含まれる。制御部１１は、各候補空調機器が推奨空調機器となる確度を出力し（Ｓ６７）、該確度が最も高い候補空調機器を推奨空調機器に特定する（Ｓ６８）。制御部１１は、特定した推奨空調機器をユーザ端末２に送信し（Ｓ６９）、処理を終了する。ユーザ端末２の端末制御部２１は、情報処理装置１から推奨空調機器を取得（受信）し（Ｓ７０）、受信した推奨空調機器を表示部２５に表示させて（Ｓ７１）処理を終了する。なお、制御部１１は、撮影画像に後述する空調機器のＡＲ画像を表示させることによって、表示部２５に推奨空調機器を表示させてもよい。また、実施形態３において述べられた付帯機器のＡＲ画像が撮影画像に表示されてもよい。 27 is a flowchart showing an example of the processing of the control unit 11 of the information processing device 1 and the terminal control unit 21 of the user terminal 2 according to the fifth embodiment. The terminal control unit 21 of the user terminal 2 causes the photographing unit 26 to photograph an image of the interior of the room (S51) and transmits the photographed image (photographed image) to the information processing device 1 (S52). The control unit 11 of the information processing device 1 acquires (receives) the photographed image of the interior of the room from the user terminal 2 (S53). The control unit 11 inputs the photographed image to the object detection model M4 (S54) and outputs the positions of the corners of the room, equipment, objects, and windows in the photographed image (S55). The control unit 11 estimates the volume, size of the room, purpose of the room, shape of the room (plan view of the room), and layout of the room based on the positions of the corners of the room, equipment, and objects in the photographed image output in S55 (S56). The control unit 11 estimates the positions of the windows in the plan view of the room based on the positions of the windows in the photographed image (S57). The control unit 11 identifies possible installation positions in the captured image where the air conditioner can be installed based on the positions of the corners and windows of the room (S58). The control unit 11 transmits (outputs) the possible installation positions of the air conditioner identified in S58 to the user terminal 2 (S59). The terminal control unit 21 of the user terminal 2 acquires (receives) the possible installation positions from the information processing device 1 (S60) and causes the display unit 25 to display the possible installation positions on the captured image (S61). The terminal control unit 21 accepts input of the installation positions of the air conditioner in the captured image from the user (S62) and transmits the installation positions in the captured image that have been accepted to the information processing device 1 (S63). The control unit 11 of the information processing device 1 receives the installation positions in the captured image from the user terminal 2 (S64). The control unit 11 estimates the installation positions in the plan view of the room based on the installation positions in the captured image (S65). The control unit 11 inputs the spatial information estimated in S56 and S57 and the installation position in the plan view of the room estimated in S65 to the air conditioner recommendation model M1 in the same manner as in the second embodiment (S66). Note that the spatial information input to the air conditioner recommendation model M1 in this embodiment includes the volume of the room. The control unit 11 outputs the probability that each candidate air conditioner will become a recommended air conditioner (S67), and specifies the candidate air conditioner with the highest probability as the recommended air conditioner (S68). The control unit 11 transmits the specified recommended air conditioner to the user terminal 2 (S69), and ends the process. The terminal control unit 21 of the user terminal 2 acquires (receives) the recommended air conditioner from the information processing device 1 (S70), and displays the received recommended air conditioner on the display unit 25 (S71), and ends the process. Note that the control unit 11 may display the recommended air conditioner on the display unit 25 by displaying an AR image of the air conditioner described later on the captured image. Additionally, an AR image of the accessory device described in embodiment 3 may be displayed on the captured image.
（実施形態６）
　実施形態６に係る情報処理装置１の制御部１１は、推奨空調機器の３次元画像データをユーザ端末２に送信する。ユーザ端末２は、撮影部２６によって撮影された画像に推奨空調機器の３次元画像データをＡＲ(Augmented Reality)表示し、ユーザに対して推奨空調機器を部屋内に取り付けた際のイメージを提供する。 (Embodiment 6)
The control unit 11 of the information processing device 1 according to the sixth embodiment transmits three-dimensional image data of the recommended air conditioning equipment to the user terminal 2. The user terminal 2 displays the three-dimensional image data of the recommended air conditioning equipment in AR (Augmented Reality) on the image captured by the imaging unit 26, providing the user with an image of what the recommended air conditioning equipment will look like when installed in a room.
　図２８は、実施形態６に係るユーザ端末２の構成例を示すブロック図である。実施形態６に係るユーザ端末２は、実施形態５に係るユーザ端末２と同様に撮影部２６を備える。 FIG. 28 is a block diagram showing an example of the configuration of a user terminal 2 according to the sixth embodiment. The user terminal 2 according to the sixth embodiment includes a photographing unit 26, similar to the user terminal 2 according to the fifth embodiment.
　図２９は、実施形態６に係る空調機器テーブル１２１の一例を示す説明図である。実施形態６に係る空調機器テーブル１２１は、３次元画像データフィールドを含む。３次元画像データフィールドには、空調機器の外観を示す３次元画像データが、例えば、ファイル形式で格納されている。 FIG. 29 is an explanatory diagram showing an example of an air conditioning equipment table 121 according to embodiment 6. The air conditioning equipment table 121 according to embodiment 6 includes a three-dimensional image data field. In the three-dimensional image data field, three-dimensional image data showing the external appearance of the air conditioning equipment is stored, for example, in a file format.
　情報処理装置１の制御部１１は、実施形態１、２、または４に示す方法によって推奨空調機器を特定後、推奨空調機器の３次元画像データをユーザ端末２に送信する。 After identifying the recommended air conditioners using the method shown in embodiment 1, 2, or 4, the control unit 11 of the information processing device 1 transmits three-dimensional image data of the recommended air conditioners to the user terminal 2.
　図３０は、空調機器のＡＲ表示を説明する説明図である。図３０Ａは、撮影部２６による撮影画像の表示画面を示す。ユーザ端末２の端末制御部２１は、撮影部２６によって撮影された部屋の内部の撮影画像を表示部２５に表示させる。入力部２４は、図３０Ａに示す画面において、ユーザが空調機器の設置を希望する設置位置の入力を受け付ける。 FIG. 30 is an explanatory diagram explaining the AR display of air conditioning equipment. FIG. 30A shows a display screen of an image captured by the image capturing unit 26. The terminal control unit 21 of the user terminal 2 causes the display unit 25 to display an image of the interior of the room captured by the image capturing unit 26. The input unit 24 accepts input of the installation position where the user wishes to install the air conditioning equipment on the screen shown in FIG. 30A.
　図３０Ｂは、設置位置の表示画面を示す。端末制御部２１は、表示部２５に、図３０Ａに示す画面において入力部２４が入力を受け付けた設置位置を撮影画像上に表示させる。設置位置は、例えば、図３０Ｂに示すように、ユーザが空調機器の設置を希望する位置を囲むようになぞることによって入力される。また、端末制御部２１は、表示部２５に、ＡＲ表示を指示するためのコマンドを表示させる。 Fig. 30B shows the installation location display screen. The terminal control unit 21 causes the display unit 25 to display the installation location input by the input unit 24 on the screen shown in Fig. 30A on the captured image. The installation location is input by, for example, tracing the location where the user wants to install the air conditioner, as shown in Fig. 30B. The terminal control unit 21 also causes the display unit 25 to display a command to instruct AR display.
　図３０Ｃは、推奨空調機器のＡＲ表示画面を示す。ユーザ端末２の端末制御部２１は、図３０ＢにおいてＡＲ表示を指示するコマンドが入力されると、表示部２５に、情報処理装置１から取得した推奨空調機器の３次元画像データに基づいて、撮影画像内の設置位置に推奨空調機器の３次元画像を表示させる。 Fig. 30C shows an AR display screen of the recommended air conditioning equipment. When a command instructing AR display is input in Fig. 30B, the terminal control unit 21 of the user terminal 2 causes the display unit 25 to display a three-dimensional image of the recommended air conditioning equipment at the installation position within the captured image, based on the three-dimensional image data of the recommended air conditioning equipment acquired from the information processing device 1.
（実施形態７）
　実施形態７に係る情報処理装置１の制御部１１は、空間情報と位置情報とに基づいて候補空調機器を抽出し、抽出した各候補空調機が設置された場合の空間内の快適性（例えば、不快指数）を、シミュレーションプログラムを用いて評価する。制御部１１は、評価された快適性に基づいて、候補空調機器から推奨空調機器を抽出する。 (Embodiment 7)
The control unit 11 of the information processing device 1 according to the seventh embodiment extracts candidate air conditioners based on spatial information and position information, and evaluates the comfort (e.g., discomfort index) of the space when each of the extracted candidate air conditioners is installed using a simulation program. The control unit 11 extracts recommended air conditioners from the candidate air conditioners based on the evaluated comfort.
　図３１は、実施形態７に係る情報処理装置１の構成例を示すブロック図である。実施形態４に係る情報処理装置１の記憶部１２は、シミュレーションプログラムＰｓ（シミュレーター）を記憶している。 FIG. 31 is a block diagram showing an example of the configuration of an information processing device 1 according to embodiment 7. The storage unit 12 of the information processing device 1 according to embodiment 4 stores a simulation program Ps (simulator).
　図３２は、実施形態７に係る情報処理装置１の制御部１１の処理の一例を示すフローチャートである。制御部１１は、ユーザ端末２から空間情報及び設置位置を取得する（Ｓ８１）。制御部１１は、空調機器テーブル１２１から候補空調機器の性能を読み出す（Ｓ８２）。制御部１１は、空間情報、設置位置、及び候補空調機器の性能をシミュレーションプログラムＰｓに入力し（Ｓ８３）、シミュレーション結果を出力する（Ｓ８４）。制御部１１は、シミュレーション結果に基づいて、設置される空間内における空調機器の設置位置からの最遠点の、空調開始から所定時間経過後の推定温度及び推定湿度を算出する（Ｓ８５）。制御部１１は、算出された推定温度及び推定湿度に基づいて推定不快指数を算出する（Ｓ８６）。制御部１１は、候補空調機器から、推定不快指数が所定値未満である空調機器を推奨空調機器に特定する（Ｓ８７）。制御部１１は、推奨空調機器をユーザ端末２に送信（出力）し（Ｓ８８）、処理を終了する。 FIG. 32 is a flowchart showing an example of processing by the control unit 11 of the information processing device 1 according to the seventh embodiment. The control unit 11 acquires space information and installation positions from the user terminal 2 (S81). The control unit 11 reads out the performance of the candidate air conditioners from the air conditioner table 121 (S82). The control unit 11 inputs the space information, installation positions, and performance of the candidate air conditioners into the simulation program Ps (S83) and outputs the simulation results (S84). Based on the simulation results, the control unit 11 calculates the estimated temperature and estimated humidity at the farthest point from the installation position of the air conditioner in the space in which it is installed, after a predetermined time has elapsed since the start of air conditioning (S85). The control unit 11 calculates an estimated discomfort index based on the calculated estimated temperature and estimated humidity (S86). The control unit 11 specifies, from the candidate air conditioners, an air conditioner whose estimated discomfort index is less than a predetermined value as a recommended air conditioner (S87). The control unit 11 transmits (outputs) the recommended air conditioner to the user terminal 2 (S88) and ends the process.
　制御部１１は、シミュレーション結果に基づいて空調機器が設置される空間内の平均推定温度及び平均推定湿度を算出し、平均推定温度及び平均推定湿度に基づいて推定不快指数を算出してもよい。また、制御部１１は、各空調機の試験空間で実測された温度分布または湿度分布に関する試験データに基づいて、空調機器が設置される空間内における推定不快指数を算出してもよい。 The control unit 11 may calculate the average estimated temperature and average estimated humidity in the space in which the air conditioners are installed based on the simulation results, and calculate the estimated discomfort index based on the average estimated temperature and average estimated humidity. The control unit 11 may also calculate the estimated discomfort index in the space in which the air conditioners are installed based on test data related to the temperature distribution or humidity distribution actually measured in the test space of each air conditioner.
　制御部１１は、シミュレーション結果に基づいて空間内において空調機の気流が到達する領域の割合を算出し、算出した気流が到達する領域の割合に基づいて各候補空調機器の快適性を評価してもよい。また、制御部１１は、空調機が備える赤外線温度センサの有無などを含む機能に基づいて快適性を評価してもよい。加えて、制御部１１は、各候補空調機器に係る推定温度及び推定湿度に基づいて評価される第１の快適性、気流が到達する領域の割合に基づいて評価される第２の快適性、または機能に基づいて評価される第３の快適性のうち複数の快適性に基づいて、各候補空調機器が空間に設置された場合の総合的な快適性を評価してもよい。 The control unit 11 may calculate the percentage of the area in the space that the airflow of the air conditioner reaches based on the simulation results, and evaluate the comfort of each candidate air conditioner based on the calculated percentage of the area that the airflow reaches. The control unit 11 may also evaluate the comfort based on functions including the presence or absence of an infrared temperature sensor equipped in the air conditioner. In addition, the control unit 11 may evaluate the overall comfort when each candidate air conditioner is installed in the space based on multiple comforts among a first comfort evaluated based on the estimated temperature and estimated humidity for each candidate air conditioner, a second comfort evaluated based on the percentage of the area that the airflow reaches, and a third comfort evaluated based on functions.
（変形例）
　推奨空調機器表示画面において、推奨空調機器を設置する際の工賃、または設置完了までの納期が表示されてもよい。 (Modification)
The recommended air conditioner display screen may also display the labor costs for installing the recommended air conditioner or the delivery time until the installation is completed.
　空間情報には、部屋（空間）における換気扇の種類及び位置、または通気口の位置が含まれてもよい。 Spatial information may include the type and location of ventilation fans or the location of vents in a room (space).
　今回開示した実施の形態は、全ての点で例示であって、制限的なものではないと考えられるべきである。各実施例にて記載されている技術的特徴は互いに組み合わせることができ、本開示の範囲は、請求の範囲内での全ての変更及び請求の範囲と均等の範囲が含まれることが意図される。また、請求の範囲に記載した独立請求項及び従属請求項は、引用形式に関わらず全てのあらゆる組み合わせにおいて、相互に組み合わせることが可能である。さらに、請求の範囲には他の２以上のクレームを引用するクレームを記載する形式（マルチクレーム形式）を用いているが、これに限るものではない。マルチクレームを少なくとも一つ引用するマルチクレーム（マルチマルチクレーム）を記載する形式を用いて記載しても良い。 The embodiments disclosed herein are illustrative in all respects and should not be considered restrictive. The technical features described in each embodiment may be combined with one another, and the scope of the present disclosure is intended to include all modifications within the scope of the claims and equivalents to the scope of the claims. Furthermore, the independent claims and dependent claims described in the claims may be combined with one another in any and all combinations, regardless of the citation format. Furthermore, the claims use a format in which a claim cites two or more other claims (multi-claim format), but this is not limited to this. They may also be written in a format in which a multiple claim cites at least one other claim (multi-multi-claim).
　１　情報処理装置
　１１　制御部
　１２　記憶部
　１２ａ　記憶媒体
　１３　通信部
　２　ユーザ端末
　２１　端末制御部
　２３　通信部
　２４　入力部
　２５　表示部
　２６　撮影部
　１２１　空調機器テーブル
　１２３　必要機能テーブル
　１２４　理由テーブル
　１２５　付帯機器テーブル
　Ｍ１　空調機器推奨モデル
　Ｍ２　付帯機器推奨モデル
　Ｍ３　推奨設置箇所特定モデル
　Ｍ４　物体検出モデル
　Ｎ　ネットワーク
　Ｐ　プログラム
　Ｐａ　アプリプログラム
　Ｐｓ　シミュレーションプログラム
　Ｓ　空調機器推奨システム REFERENCE SIGNS LIST 1 Information processing device 11 Control unit 12 Storage unit 12a Storage medium 13 Communication unit 2 User terminal 21 Terminal control unit 23 Communication unit 24 Input unit 25 Display unit 26 Photography unit 121 Air conditioning equipment table 123 Required function table 124 Reason table 125 Accessory equipment table M1 Air conditioning equipment recommendation model M2 Accessory equipment recommendation model M3 Recommended installation location specification model M4 Object detection model N Network P Program Pa Application program Ps Simulation program S Air conditioning equipment recommendation system

Claims (19)

  1. 　空調機器を設置する空間の空間情報を取得し、
    　前記空調機器の前記空間における設置位置を取得し、
    　前記空間情報及び前記設置位置に基づき、推奨空調機器を特定する
    　処理をコンピュータに実行させるプログラム。     Obtain spatial information about the space in which the air conditioning equipment will be installed,
    Acquire an installation position of the air conditioning device in the space;
    A program that causes a computer to execute a process of identifying a recommended air-conditioning device based on the spatial information and the installation position.
  2. 　前記空間情報は、前記空間の形状に関する情報を含む
    　請求項１に記載のプログラム。     The program according to claim 1 , wherein the spatial information includes information regarding a shape of the space.
  3. 　前記空間情報は、前記空間における窓の位置、前記空間の広さ、前記空間の間取り、前記空間を備える建物が存在する地域、前記建物の種類、または前記建物内における前記空間の位置に関する情報を含む
    　請求項１または２に記載のプログラム。     The program according to claim 1 or 2, wherein the spatial information includes information regarding the position of a window in the space, the size of the space, the layout of the space, the area in which a building having the space is located, the type of the building, or the position of the space within the building.
  4. 　前記空間情報は、前記空間の用途に関する情報を含む
    　請求項１から３のいずれか一つに記載のプログラム。     The program according to claim 1 , wherein the spatial information includes information regarding a use of the space.
  5. 　前記空間情報、前記設置位置、及び前記推奨空調機器の候補となる候補空調機器の気流性能に基づき、前記候補空調機器の中から前記推奨空調機器を特定する
    　請求項１から４のいずれか一つに記載のプログラム。     The program according to claim 1 , further comprising: identifying the recommended air conditioning equipment from among the candidate air conditioning equipment based on the spatial information, the installation position, and airflow performance of candidate air conditioning equipment that is a candidate for the recommended air conditioning equipment.
  6. 　前記推奨空調機器を特定した理由を出力する
    　請求項１から５のいずれか一つに記載のプログラム。     The program according to claim 1 , further comprising:outputting a reason why the recommended air conditioning equipment was identified.
  7. 　前記空間の形状が所定形状である場合、温度センシング機能または人検知機能を有する前記推奨空調機器を特定する
    　請求項２に記載のプログラム。     The program according to claim 2 , further comprising: identifying the recommended air-conditioning equipment having a temperature sensing function or a human detection function when the shape of the space is a predetermined shape.
  8. 　前記空間の用途が所定用途である場合、温度センシング機能または人検知機能を有する前記推奨空調機器を特定する
    　請求項４に記載のプログラム。     The program according to claim 4 , further comprising: identifying the recommended air-conditioning equipment having a temperature sensing function or a human detection function when the use of the space is a predetermined use.
  9. 　前記推奨空調機器に加えて、さらに設置を推奨するエアーコンディショナー、空気清浄機、サーキュレータ、扇風機、またはファンを含む推奨付帯機器を特定する
    　請求項１から８のいずれか一つに記載のプログラム。     The program according to claim 1 , further comprising: identifying, in addition to the recommended air-conditioning equipment, a recommended accessory device including an air conditioner, an air purifier, a circulator, an electric fan, or a fan that is recommended for installation.
  10. 　前記空間情報及び前記設置位置に基づき、前記推奨付帯機器の推奨設置箇所を特定する
    　請求項９に記載のプログラム。     The program according to claim 9 , further comprising: determining a recommended installation location for the recommended accessory device based on the spatial information and the installation position.
  11. 　前記空間情報、前記設置位置、及び前記推奨空調機器の候補となる候補空調機器の性能をシミュレーターに入力し、
    　前記シミュレーターから得られる前記空間内の温度、湿度、または気流の状態に基づいて、前記推奨空調機器を特定する
    　請求項１から１０のいずれか一つに記載のプログラム。     Inputting the spatial information, the installation position, and performance of candidate air-conditioning equipment that is a candidate for the recommended air-conditioning equipment into a simulator;
    The program according to claim 1 , further comprising: identifying the recommended air-conditioning equipment based on a state of temperature, humidity, or airflow in the space obtained from the simulator.
  12. 　前記空間情報及び前記設置位置を入力した場合に前記推奨空調機器を出力するように学習された学習モデルに、前記空間情報及び前記設置位置を入力し、前記推奨空調機器を出力する
    　請求項１から１１のいずれか一つに記載のプログラム。     The program according to any one of claims 1 to 11, further comprising: inputting the spatial information and the installation location into a learning model that has been trained to output the recommended air conditioning equipment when the spatial information and the installation location are input; and outputting the recommended air conditioning equipment.
  13. 　前記空間の形状を示す、相互に形状が異なる複数の空間形状を示すアイコンを含むアイコン群を選択可能に出力し、
    　選択された前記空間形状に対応する前記空間の平面図形を出力し、
    　出力した前記平面図形上において前記空調機器の前記設置位置の入力を受け付け、
    受け付けた前記設置位置に前記空調機器のアイコンを出力する
    　請求項１から１２のいずれか一つに記載のプログラム。     outputting a selectable icon group including icons each showing a shape of the space and each icon showing a plurality of different shapes of the space;
    outputting a plan view of the space corresponding to the selected spatial shape;
    receiving an input of the installation position of the air conditioning device on the outputted planar diagram;
    The program according to claim 1 , further comprising: outputting an icon of the air conditioning device at the accepted installation position.
  14. 　前記空間の撮影画像を取得し、
    　取得した前記撮影画像に基づいて、前記空間の形状及び容積を含む前記空間情報を推定し、
    　推定した前記空間情報、及び前記設置位置に基づき、前記推奨空調機器を特定する
    　請求項１から１３のいずれか一つに記載のプログラム。     Acquire a photographed image of the space;
    Estimating the spatial information including a shape and a volume of the space based on the acquired photographed image;
    The program according to claim 1 , further comprising: identifying the recommended air-conditioning equipment based on the estimated spatial information and the installation position.
  15. 　前記撮影画像内において、前記空調機器の設置可能位置を出力し、
    　前記設置可能位置内において前記設置位置の入力を受け付け、
    　推定した前記空間情報、及び入力を受け付けた前記設置位置に基づき、前記推奨空調機器を特定する
    　請求項１４に記載のプログラム。     outputting possible installation positions of the air conditioning equipment within the captured image;
    Accepting an input of the installation position within the installation possible position;
    The program according to claim 14 , further comprising: identifying the recommended air-conditioning equipment based on the estimated spatial information and the installation position whose input has been accepted.
  16. 　前記空間の撮影画像を取得し、
    　前記撮影画像内に、特定された前記推奨空調機器の仮想オブジェクトをＡＲ表示する
    　請求項１から１５のいずれか一つに記載のプログラム。     Acquire a photographed image of the space;
    The program according to claim 1 , further comprising: displaying a virtual object of the identified recommended air conditioning device in the captured image using AR.
  17. 　前記空間情報及び前記設置位置に基づき、前記推奨空調機器の候補となる候補空調機器が前記空間に設置された場合の前記空間における快適性を評価し、
    　評価された快適性に基づいて、前記候補空調機器の中から前記推奨空調機器を特定する
    　請求項１から１６のいずれか一つに記載のプログラム。     Evaluating comfort in the space when a candidate air-conditioning device that is a candidate for the recommended air-conditioning device is installed in the space based on the space information and the installation position;
    The program according to claim 1 , further comprising: identifying the recommended air-conditioning equipment from among the candidate air-conditioning equipment based on the evaluated comfort.
  18. 　空調機器を設置する空間の空間情報を取得し、
    　前記空調機器の前記空間における設置位置を取得し、
    　前記空間情報及び前記設置位置に基づき、推奨空調機器を特定する
    　情報処理方法。     Obtain spatial information about the space in which the air conditioning equipment will be installed,
    Acquire an installation position of the air conditioning device in the space;
    and identifying a recommended air-conditioning device based on the spatial information and the installation position.
  19. 　空調機器を設置する空間の空間情報を取得し、
    　前記空調機器の前記空間における設置位置を取得し、
    　前記空間情報及び前記設置位置に基づき、推奨空調機器を特定する
    　制御部
    　を備える情報処理装置。
          Obtain spatial information about the space in which the air conditioning equipment will be installed,
    Acquire an installation position of the air conditioning device in the space;
    and a control unit that identifies a recommended air-conditioning device based on the spatial information and the installation position.
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