WO2024071257A1 - Programme, procédé de traitement d'informations et dispositif de traitement d'informations - Google Patents

Programme, procédé de traitement d'informations et dispositif de traitement d'informations 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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WIPO (PCT)
Prior art keywords
recommended
space
conditioning equipment
air conditioning
air
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PCT/JP2023/035290
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English (en)
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/fr

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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

Selon un premier mode de réalisation de la présente divulgation, un programme amène un ordinateur à : exécuter un processus d'acquisition d'informations d'espace concernant un espace dans lequel un climatiseur doit être installé ; acquérir un emplacement d'installation du climatiseur dans l'espace ; et spécifier un climatiseur recommandé sur la base des informations sur l'espace et de l'emplacement d'installation. La présente divulgation permet de suggérer un type de climatiseur qui est approprié à l'espace dans lequel un utilisateur souhaite installer un climatiseur, ainsi que pour l'emplacement d'installation dans l'espace.
PCT/JP2023/035290 2022-09-27 2023-09-27 Programme, procédé de traitement d'informations et dispositif de traitement d'informations WO2024071257A1 (fr)

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JP2016181196A (ja) * 2015-03-25 2016-10-13 日本電気株式会社 情報処理装置、情報処理方法およびプログラム
WO2019087376A1 (fr) * 2017-11-06 2019-05-09 三菱電機株式会社 Terminal opérationnel, programme et système de climatisation
JP2020012568A (ja) * 2018-07-13 2020-01-23 三菱重工サーマルシステムズ株式会社 制御装置、制御システム、制御方法及びプログラム
JP7121176B1 (ja) * 2021-08-18 2022-08-17 功憲 末次 商品・サービス提案システム及びプログラム

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