WO2024043156A1 - Système de commande de ventilation, dispositif de commande de ventilation, programme de commande de ventilation, système de réglage/régulation de température, dispositif de réglage/régulation de température et programme de réglage/régulation de température - Google Patents

Système de commande de ventilation, dispositif de commande de ventilation, programme de commande de ventilation, système de réglage/régulation de température, dispositif de réglage/régulation de température et programme de réglage/régulation de température Download PDF

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Publication number
WO2024043156A1
WO2024043156A1 PCT/JP2023/029611 JP2023029611W WO2024043156A1 WO 2024043156 A1 WO2024043156 A1 WO 2024043156A1 JP 2023029611 W JP2023029611 W JP 2023029611W WO 2024043156 A1 WO2024043156 A1 WO 2024043156A1
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WIPO (PCT)
Prior art keywords
information
control
ventilation
temperature adjustment
control information
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PCT/JP2023/029611
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English (en)
Japanese (ja)
Inventor
雄介 岩屋
由治 佐藤
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ｃｙｎａｐｓ株式会社
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Publication of WO2024043156A1 publication Critical patent/WO2024043156A1/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
    • F24F11/70—Control systems characterised by their outputs; Constructional details thereof
    • F24F11/72—Control systems characterised by their outputs; Constructional details thereof for controlling the supply of treated air, e.g. its pressure
    • F24F11/74—Control systems characterised by their outputs; Constructional details thereof for controlling the supply of treated air, e.g. its pressure for controlling air flow rate or air velocity
    • F24F11/77—Control systems characterised by their outputs; Constructional details thereof for controlling the supply of treated air, e.g. its pressure for controlling air flow rate or air velocity by controlling the speed of ventilators
    • F—MECHANICAL ENGINEERING; LIGHTING; HEATING; WEAPONS; BLASTING
    • F24—HEATING; RANGES; VENTILATING
    • F24F—AIR-CONDITIONING; AIR-HUMIDIFICATION; VENTILATION; USE OF AIR CURRENTS FOR SCREENING
    • F24F7/00—Ventilation
    • F24F7/007—Ventilation with forced flow
    • 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
    • G06Q10/00—Administration; Management
    • 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
    • G06Q50/00—Information and communication technology [ICT] specially adapted for implementation of business processes of specific business sectors, e.g. utilities or tourism
    • G06Q50/10—Services
    • F—MECHANICAL ENGINEERING; LIGHTING; HEATING; WEAPONS; BLASTING
    • F24—HEATING; RANGES; VENTILATING
    • F24F—AIR-CONDITIONING; AIR-HUMIDIFICATION; VENTILATION; USE OF AIR CURRENTS FOR SCREENING
    • F24F2110/00—Control inputs relating to air properties
    • F24F2110/50—Air quality properties
    • F24F2110/64—Airborne particle content
    • Y—GENERAL TAGGING OF NEW TECHNOLOGICAL DEVELOPMENTS; GENERAL TAGGING OF CROSS-SECTIONAL TECHNOLOGIES SPANNING OVER SEVERAL SECTIONS OF THE IPC; TECHNICAL SUBJECTS COVERED BY FORMER USPC CROSS-REFERENCE ART COLLECTIONS [XRACs] AND DIGESTS
    • Y02—TECHNOLOGIES OR APPLICATIONS FOR MITIGATION OR ADAPTATION AGAINST CLIMATE CHANGE
    • Y02B—CLIMATE CHANGE MITIGATION TECHNOLOGIES RELATED TO BUILDINGS, e.g. HOUSING, HOUSE APPLIANCES OR RELATED END-USER APPLICATIONS
    • Y02B30/00—Energy efficient heating, ventilation or air conditioning [HVAC]
    • Y02B30/70—Efficient control or regulation technologies, e.g. for control of refrigerant flow, motor or heating

Definitions

  • the present invention relates to a ventilation control system, a ventilation control device, a ventilation control program, a temperature adjustment control system, and a temperature adjustment control system for controlling a ventilation device that ventilates the interior of a building structure or a temperature adjustment device that adjusts the temperature of the room.
  • the present invention relates to a device and a temperature adjustment control program.
  • Patent Document 1 discloses an equipment control system that controls equipment to be controlled, such as an air conditioner, using a control program downloaded by a remote terminal connectable to a communication network.
  • the ventilation device or temperature control device is constantly connected to the communication network in order to receive various requests via the communication network. need to be. Therefore, for example, a ventilation device or a temperature control device that is already installed in a building and does not support connection of a remote terminal cannot be controlled.
  • the corresponding control programs differ depending on the type of ventilation equipment or temperature control equipment (ventilation fan, damper, air conditioner, total heat exchanger, air conditioner without ventilation function, etc.), we will arrange multiple control programs. There is a concern that management will be complicated.
  • the present invention has been devised in view of the above-mentioned problems, and its purpose is to improve the convenience of a ventilation system that ventilates the interior of a building structure or a temperature control system that adjusts the interior temperature.
  • An object of the present invention is to provide a ventilation control system, a ventilation control device, a ventilation control program, a temperature adjustment control system, a temperature adjustment control device, and a temperature adjustment control program, all of which have improved functionality.
  • an existing ventilation device that performs indoor ventilation
  • an existing ventilation device operation section that outputs control information for controlling the ventilation device, the ventilation device, and the ventilation device a ventilation control device newly installed between the operation unit
  • the ventilation control device includes reference control information including control information of the ventilation device, and reference device information including device information of the ventilation device.
  • a device information specifying means for specifying device information corresponding to the control information acquired from the ventilation device operation unit by referring to a first database stored in a linked manner in advance;
  • Reference operation information including operation information and reference control information including control information of the ventilation device are stored in advance in association with each device information of the ventilation device.
  • Setting means for acquiring operation information and control information corresponding to the device information specified by the information specifying means from the second database, and setting the acquired operation information and control information for the ventilation control device. It is characterized by comprising the following.
  • the device information specifying means sets a set of input data including the reference control information and output data including the reference device information. Using the dataset as learning data and referring to the device information model generated by machine learning and stored in advance in the first database, device information corresponding to the control information acquired from the ventilation device operation unit is specified. It is characterized by
  • the setting means sets a set of input data including the reference operation information and output data including the reference control information. is generated by machine learning using a data set as learning data, and with reference to a control information model stored in advance in the second database, operation information according to the device information specified by the device information specifying means. and control information corresponding to the operation information.
  • the ventilation control system in the fourth aspect of the invention, reproduces and generates the control information acquired from the ventilation device operating section, and among the reproduced control information output to the ventilation device, a learning data acquisition means for acquiring learning data including reproduction control information capable of controlling corresponding to the operation information of the ventilation device and device information of the ventilation device; and based on the learning data acquired by the learning data acquisition means,
  • the apparatus is characterized by further comprising: apparatus information model generation means for generating an apparatus information model by machine learning.
  • the ventilation control system reproduces and generates the control information acquired from the ventilation device operating section, and out of the reproduction control information output to the ventilation device, learning data acquisition means for acquiring learning data including reproduction control information capable of controlling the operation information corresponding to the operation information;
  • control information model generation means for generating a control information model.
  • the ventilation control device includes at least indoor information, external information, performance information, indoor sensor information, and outdoor sensor information regarding the room or the ventilation device.
  • an information acquisition means for acquiring various information including one or more pieces of information
  • a management setting means for setting control conditions for automatically controlling the ventilation device, the various information acquired by the information acquisition means, and the management and determining means for determining the degree of necessity of controlling the ventilator based on the control condition set by the setting means, and determining the degree of necessity of controlling the ventilation device based on the degree of necessity determined by the determination means.
  • the control information set by the means is output to the ventilation device.
  • the management setting means sets the control conditions based on the various information acquired by the information acquisition means.
  • the management setting means uses the determination model using the degree of necessity for the various information as training data, and The control condition is set according to the degree of necessity output from the determination model when various information is input.
  • the information acquisition means refers to preset calibration conditions and calibrates the acquired various information. .
  • the ventilation control device is newly installed between an existing ventilation device that performs indoor ventilation and an existing ventilation device operation section that outputs control information for controlling the ventilation device.
  • reference control information including control information of the ventilation device and reference device information including device information of the ventilation device are stored in a linked manner in advance, with reference to a first database; device information specifying means for specifying device information corresponding to the control information acquired from the ventilation device operation unit; reference operation information including operation information indicating operation details of the ventilation device; and reference operation information including control information of the ventilation device;
  • operation information and control information corresponding to the device information specified by the device information specifying means are determined. It is characterized by comprising a setting means for acquiring the acquired operation information and the control information from the second database and setting the acquired operation information and the control information to the ventilation control device.
  • an existing ventilation device that performs indoor ventilation
  • an existing ventilation device operation section that outputs control information for controlling the ventilation device, the ventilation device, and the ventilation device
  • a ventilation control program that controls a ventilation control system that is newly installed between a ventilation control device and an operation unit
  • reference control information that includes control information of the ventilation device and reference control information that includes device information of the ventilation device are provided.
  • the method is characterized by causing a computer to execute a setting step.
  • an existing temperature adjustment device that adjusts the indoor temperature
  • an existing temperature adjustment device operating section that outputs control information for controlling the temperature adjustment device
  • the temperature adjustment device a temperature adjustment control device newly installed between the adjustment device and the temperature adjustment device operation section
  • the temperature adjustment control device includes reference control information including control information of the temperature adjustment device;
  • a device that specifies device information corresponding to control information acquired from the temperature control device operation unit by referring to a first database in which reference device information including device information of the device is stored in a linked manner in advance.
  • the information specifying means, reference operation information including operation information indicating operation details of the temperature adjustment device, and reference control information including control information of the temperature adjustment device are linked in advance for each device information of the temperature adjustment device.
  • the device information specifying means obtains operation information and control information corresponding to the device information specified by the device information specifying means from the second database, and then obtains operation information and control information for the temperature adjustment control device. , and a setting means for setting the acquired operation information and the control information.
  • the temperature adjustment control device in the thirteenth invention between the existing temperature adjustment device that adjusts the indoor temperature and the existing temperature adjustment device operating section that outputs control information for controlling the temperature adjustment device.
  • a temperature adjustment control device that is newly installed in 1; a device information specifying means for specifying device information corresponding to the control information acquired from the temperature control device operation unit after referring to a database; and reference operation information including operation information indicating operation details of the temperature control device; , reference control information including control information of the temperature adjustment device, and the device identified by the device information specifying means after referring to a second database stored in advance in association with each device information of the temperature adjustment device. and a setting means for acquiring operation information and control information corresponding to the information from the second database and setting the acquired operation information and control information to the temperature adjustment control device.
  • an existing temperature adjustment device that adjusts the indoor temperature
  • an existing temperature adjustment device operating section that outputs control information for controlling the temperature adjustment device
  • the temperature adjustment device
  • a temperature adjustment control program that controls a temperature adjustment control system comprising a temperature adjustment control device newly installed between an adjustment device and the temperature adjustment device operating section, a reference control including control information of the temperature adjustment device.
  • operation information and control information corresponding to the device information specified in the device information specifying step are acquired from the second database, and the temperature adjustment is performed.
  • the present invention is characterized by causing a computer to execute a setting step of setting the acquired operation information and the control information to the control device.
  • the ventilation control system includes a device information specifying means for specifying device information corresponding to control information acquired from a ventilation device operating section; and a setting means for acquiring the acquired operation information and control information from the second database and setting the acquired operation information and control information to the ventilation control device. Therefore, the ventilation device can be controlled regardless of the type, manufacturer, model number, etc. of the ventilation device. Thereby, the convenience of the ventilation system can be improved.
  • the device information specifying means uses as learning data a data set including input data including reference control information and output data including reference device information. After referring to the device information model generated by learning, the device information corresponding to the control information acquired from the ventilation device operation unit is specified. Therefore, the accuracy of specifying the device information of the ventilation device can be improved. Thereby, the convenience of the ventilation device can be further improved.
  • the setting means performs machine learning using a data set including input data including reference operation information and output data including reference control information as learning data. After referring to the generated control information model, operation information according to the device information specified by the device information specifying means and control information corresponding to the operation information are acquired. Therefore, even if the control information for the ventilation device is unknown, new control information can be generated. Thereby, it is possible to improve the convenience of various ventilation devices.
  • the ventilation control system reproduces the control information acquired from the ventilation device operation unit, and controls the ventilation device corresponding to the operation information of the ventilation device among the reproduction control information output to the ventilation device.
  • a learning data acquisition means for acquiring learning data including reproduction control information that can be reproduced and equipment information of the ventilation device; and generating an equipment information model by machine learning based on the learning data acquired by the learning data acquisition means.
  • the apparatus further includes a device information model generating means for generating a device information model. In other words, it is possible to generate a learning model compatible with ventilation equipment for which learning data cannot be arranged. Therefore, device information of various ventilation devices can be specified. Thereby, it is possible to improve the convenience of various ventilation devices.
  • the ventilation control system reproduces the control information acquired from the ventilation device operation unit, and controls the ventilation device corresponding to the operation information of the ventilation device among the reproduction control information output to the ventilation device.
  • learning data acquisition means for acquiring learning data including reproduction control information that can be reproduced and the operation information; and control information for generating a control information model by machine learning based on the learning data acquired by the learning data acquisition means.
  • the apparatus further includes model generation means. In other words, it is possible to generate a learning model compatible with ventilation equipment for which learning data cannot be arranged. Therefore, even if the control information for the ventilation device is unknown, more accurate control information can be newly generated. This makes it possible to improve the convenience of a wider variety of ventilation devices.
  • the ventilation control device includes various information including at least one of the acquired indoor information, external information, performance information, indoor sensor information, and outdoor sensor information, and settings.
  • the device further includes a determining means for determining the degree of necessity of controlling the ventilation device based on the control conditions determined by the determination means, and transmitting the control information set by the setting means to the ventilation device based on the degree of necessity determined by the determination means. Output against. Therefore, it is possible to automate the determination of the degree of necessity and the control of the device according to the various acquired information. Thereby, the convenience of the ventilation device can be further improved.
  • the management setting means sets the control conditions based on various information acquired by the information acquisition means. Therefore, it is possible to automate the setting of control conditions according to various types of acquired information. Thereby, the convenience of the ventilation device can be further improved.
  • the management setting means uses a judgment model that uses the degree of necessity for various pieces of information as training data, and when newly acquired various pieces of information are input, the management setting means uses a judgment model that uses the degree of necessity for each type of information as training data, and when newly acquired various pieces of information are input, the necessity level is output from the judgment model.
  • Set the control conditions according to the degree Therefore, even if the degree of necessity of controlling the ventilator according to the acquired various information is unknown, the degree of necessity can be determined more accurately. Thereby, the convenience of the ventilation device can be further improved.
  • the information acquisition means refers to preset calibration conditions and calibrates the various acquired information. Therefore, it is possible to more accurately determine the degree of necessity of controlling the ventilation device according to various information. Thereby, the convenience of the ventilation device can be further improved.
  • the ventilation control device includes device information specifying means for specifying device information corresponding to control information acquired from the ventilation device operating section, and operation information corresponding to the device information specified by the device information specifying device. and control information from the second database, and setting means for setting the acquired operation information and control information to the ventilation control device. Therefore, the ventilation device can be controlled regardless of the type, manufacturer, model number, etc. of the ventilation device. Thereby, the convenience of the ventilation system can be improved.
  • the ventilation control program includes the device information specifying step of specifying device information corresponding to the control information acquired from the ventilation device operating section, and the operation information corresponding to the device information specified by the device information specifying means.
  • control information from a second database, and causes the computer to execute a setting step of setting the acquired operation information and control information to the ventilation control device. Therefore, the ventilation device can be controlled regardless of the type, manufacturer, model number, etc. of the ventilation device. Thereby, it is possible to provide a ventilation device with improved convenience.
  • the temperature adjustment control system includes: device information specifying means for specifying device information corresponding to control information acquired from a temperature control device operating section; and an operation according to the device information specified by the device information specifying means.
  • a setting means is provided for acquiring information and control information from a second database and setting the acquired operation information and control information to the temperature adjustment control device. Therefore, the temperature control device can be controlled regardless of the type, manufacturer, model number, etc. of the temperature control device. Thereby, the convenience of the temperature control device can be improved.
  • the temperature adjustment control device includes device information specifying means for specifying device information corresponding to control information acquired from the temperature control device operating section, and an operation according to the device information specified by the device information specifying device.
  • a setting means is provided for acquiring information and control information from a second database and setting the acquired operation information and control information to the temperature adjustment control device. Therefore, the temperature control device can be controlled regardless of the type, manufacturer, model number, etc. of the temperature control device. Thereby, the convenience of the temperature control device can be improved.
  • the temperature adjustment control program includes a device information specifying step of specifying device information corresponding to control information acquired from a temperature control device operating section, and an operation according to the device information specified by the device information specifying means.
  • the computer is caused to execute a setting step of acquiring the information and control information from the second database and setting the acquired operation information and control information to the temperature adjustment control device. Therefore, the temperature control device can be controlled regardless of the type, manufacturer, model number, etc. of the temperature control device. Thereby, it is possible to provide a temperature control device with improved convenience.
  • FIG. 1 is a schematic diagram showing an example of a ventilation control system according to a first embodiment of the present invention.
  • FIG. 2 is a schematic diagram showing an example of a method of connecting the ventilation control system according to the first embodiment of the present invention.
  • FIG. 3 is a schematic diagram showing a modification of the connection method of the ventilation control system in the first embodiment of the present invention.
  • FIG. 4(a) is a schematic diagram showing an example of the configuration of the ventilation control device in the first embodiment of the present invention, and FIG. 4(b) is a detailed diagram of the ventilation control device in the first embodiment of the present invention.
  • FIG. 2 is a schematic diagram showing an example of a configuration.
  • FIG. 5 is a schematic diagram showing a modification of the ventilation control system according to the first embodiment of the present invention.
  • FIG. 1 is a schematic diagram showing an example of a ventilation control system according to a first embodiment of the present invention.
  • FIG. 2 is a schematic diagram showing an example of a method of connecting the ventilation control system according to
  • FIG. 6 is a flowchart showing an example of the operation of the ventilation control system in the first embodiment of the present invention.
  • FIG. 7 is a schematic diagram showing an example of information related to the ventilation control system according to the first embodiment of the present invention.
  • FIGS. 8(a) to 8(b) are schematic diagrams showing an example of a database related to the ventilation control system according to the first embodiment of the present invention.
  • FIGS. 9(a) to 9(b) are schematic diagrams showing an example of the first database related to the ventilation control system according to the first embodiment of the present invention.
  • FIGS. 10(a) to 10(c) are schematic diagrams showing an example of the second database related to the ventilation control system in the first embodiment of the present invention.
  • FIG. 11(a) to 11(b) are schematic diagrams showing an example of details of the second database related to the ventilation control system according to the first embodiment of the present invention.
  • FIG. 12 is a schematic diagram showing an example of a detailed configuration of a ventilation control device according to the second embodiment of the present invention.
  • FIG. 13 is a flowchart showing an example of the operation of the ventilation control system in the second embodiment of the present invention.
  • FIG. 14 is a schematic diagram showing an example of a learning method for a learning model related to the ventilation control system according to the second embodiment of the present invention.
  • FIG. 15 is a schematic diagram showing an example of a detailed configuration of a ventilation control device according to the third embodiment of the present invention.
  • FIG. 16 is a flowchart showing an example of the operation of the ventilation control system in the third embodiment of the present invention.
  • FIG. 17 is a schematic diagram showing an example of a learning method of a learning model related to a ventilation control system according to the third embodiment of the present invention.
  • FIG. 18 is a schematic diagram showing an example of the configuration of a ventilation control system according to the fourth embodiment of the present invention.
  • FIG. 19 is a schematic diagram showing an example of the configuration of a ventilation control system according to the fourth embodiment of the present invention.
  • FIG. 20 is a flowchart showing an example of the operation of the ventilation control system in the fourth embodiment of the present invention.
  • FIG. 21 is a schematic diagram showing an example of an automatic control method for the ventilation control system according to the fourth embodiment of the present invention.
  • FIG. 22 is a schematic diagram showing an example of a learning method for a learning model related to a ventilation control system according to the fourth embodiment of the present invention.
  • FIG. 1 is a schematic diagram showing an example of a ventilation control system 1 in this embodiment.
  • FIG. 2 is a schematic diagram showing an example of a connection method of the ventilation control system 1 in this embodiment.
  • FIG. 3 is a schematic diagram showing a modification of the connection method of the ventilation control system 1 in this embodiment.
  • FIG. 4(a) is a schematic diagram showing an example of the configuration of the ventilation control device 3 in this embodiment, and
  • FIG. 4(b) is a schematic diagram showing an example of the detailed configuration of the ventilation control device 3 in this embodiment. It is a diagram.
  • FIG. 5 is a schematic diagram showing a modification of the ventilation control system 1 in this embodiment.
  • the ventilation control system 1 includes a ventilation device 2, a ventilation device operating section 200, and a ventilation control device 3.
  • the ventilation device 2 is an existing device that ventilates the room.
  • the ventilation device 2 is installed in a wired connection with the operating section.
  • Examples of the ventilation device 2 include a ventilation fan that does not have a temperature adjustment function.
  • the ventilation device 2 for example, an air conditioner having a temperature adjustment function may be used.
  • the term "wired connection” refers to a connection method for communication using a linear transmission path, and is used hereinafter with the same meaning.
  • a known circuit connection cable is used as the means for wired connection.
  • the ventilation device operation unit 200 is an existing operation unit that outputs control information for controlling the ventilation device 2.
  • the ventilation device operating section 200 is connected to the ventilation device 2 by wire.
  • the ventilation device operation unit 200 is, for example, an operation panel for operating the ventilation device 2.
  • the ventilation control device 3 is newly installed between the existing ventilation device 2 and the existing ventilation device operation section 200.
  • "between the existing ventilation system 2 and the existing ventilation system operation section 200" refers to the physical arrangement relationship between the ventilation control device 3, the ventilation system 2, and the ventilation system operation section 200. This does not necessarily mean that the ventilation device 2 and the ventilation device operation unit 200 are connected by wire via the ventilation control device 3.
  • the ventilation control device 3 is connected to the ventilation device 2 by wire so that each information can be sent and received.
  • the ventilation control device 3 is connected by wire to the ventilation device operation unit 200 so that various information can be transmitted and received.
  • the ventilation control device 3 for example, as shown in FIG. N
  • the negative terminal (N) of the ventilation device 2 are connected by wire, thereby establishing a wire connection with the ventilation device 2.
  • a positive terminal (P) of the ventilation control device 3 and a positive terminal (P) of the ventilation device operation unit 200 are connected by wire, and a negative terminal (N) of the ventilation control device 3 and a ventilation
  • the negative terminal (N) of the device operating section 200 is connected by wire, thereby establishing a wired connection to the ventilation device operating section 200.
  • the ventilation control device 3 can connect the existing ventilation device 2 and the existing ventilation device operation unit 200 by arbitrarily modifying and using an existing transmission line to connect the existing ventilation device 2 and the existing ventilation device operation unit 200 by wire. It may be connected to the device operation section 200 by wire. In this case, when the ventilation control device 3 is newly installed between the existing ventilation device 2 and the existing ventilation device operation section 200, there is no need to perform additional wiring work, etc., and the installation is easy. be able to.
  • the ventilation control device 3 may be connected by wire to a ventilation device 2 having an indoor unit 21 and an outdoor unit 22, as shown in FIG. 3, for example.
  • the positive terminal (P) of the ventilation control device 3 may be connected by wire to a transmission line that connects the positive terminal (P) of the indoor unit 21 and the positive terminal (P) of the outdoor unit 22 by wire.
  • the negative terminal (N) of the ventilation control device 3 may be connected by wire to a transmission line that connects the negative terminal (N) of the indoor unit 21 and the negative terminal (N) of the outdoor unit 22 by wire.
  • the ventilation control device 3 a known single board computer such as Raspberry Pi (registered trademark) is used, for example.
  • the ventilation control device 3 includes a housing 30, a CPU 301, a ROM (Read Only Memory) 302, a RAM (Random Access Memory) 303, a storage section 304, and an I/O. Equipped with F305 to F307.
  • Each configuration 301 - 307 is connected by an internal bus 310 .
  • the CPU 301 controls the entire ventilation control device 3.
  • the ROM 302 stores operation codes for the CPU 301.
  • the RAM 303 is a work area used when the CPU 301 operates.
  • the storage unit 304 stores various information such as a database and learning data.
  • a data storage device such as an HDD (Hard Disk Drive) or an SSD (Solid State Drive) is used.
  • the ventilation control device 3 may include, for example, a GPU (Graphics Processing Unit) not shown.
  • an external storage medium that is distinct from the ventilation control device 3 may be used in place of the storage unit 304, or may be used in combination with the storage unit 304.
  • the external storage medium may be, for example, a known personal computer or the like, and may be connected to the ventilation control device 3 via a communication network.
  • the communication network is, for example, the Internet network.
  • the communication network may be constituted by a so-called optical fiber communication network, and may be realized by a known communication technology such as a wireless communication network such as LTE (Long Term Evolution) in addition to a wired communication network.
  • the I/F 305 is an interface for transmitting and receiving various information with the ventilation device 2 or the ventilation device operation unit 200, etc., as necessary.
  • I/F 306 is an interface for transmitting and receiving information to and from input unit 308 .
  • a keyboard is used as the input unit 308, and the operator inputs control commands for various information and the like through the input unit 308.
  • I/F 307 is an interface for transmitting and receiving various information to and from display unit 309 .
  • the display unit 309 displays various information stored in the storage unit 304, evaluation results, etc.
  • a display is used as the display unit 309, and in the case of a touch panel type, for example, it is provided integrally with the input unit 308.
  • the ventilation control device 3 may be connected to a terminal 311 via the wireless communication network 4 and operated via the terminal 311, as shown in FIG. 5, for example.
  • the terminal 311 may be used as the input section 308 and the display section 309.
  • the terminal 311 for example, a known tablet terminal, smartphone, or the like is used.
  • FIG. 4(b) is a schematic diagram showing an example of a detailed configuration of the ventilation control device 3.
  • the ventilation control device 3 includes, for example, a communication means 31, a storage means 32, a device information specifying means 33, and a setting means 34. Note that each configuration shown in FIG. 4B is realized by the CPU 301 executing a program stored in the storage unit 304 or the like using the RAM 303 as a work area.
  • the communication means 31 receives, for example, information transmitted from the ventilator operation unit 200.
  • the communication means 31 receives, for example, control information for controlling the ventilation device 2 from the ventilation device operating section 200.
  • the communication means 31 transmits information to the ventilation device 2, for example.
  • the communication means 31 transmits control information for controlling the ventilation device 2 to the ventilation device 2, for example.
  • the communication means 31 may transmit received, transmitted, or generated information to an external storage medium that is distinguished from the ventilation control device 3, for example, in order to store the information in the external storage medium. .
  • the storage unit 32 stores, for example, the information received by the communication unit 31 in a database stored in the storage unit 304.
  • the storage unit 32 retrieves various data stored in a database stored in the storage unit 304, for example, as needed.
  • the storage unit 32 stores various data acquired or generated by each of the components 31, 33, and 34 in a database stored in the storage unit 304 as necessary.
  • the device information specifying means 33 specifies device information corresponding to control information for controlling the ventilation device 2 .
  • the device information includes, for example, information on the type of ventilation device (ventilation fan, air conditioner, etc.), manufacturer information, model number information, and the like.
  • the device information specifying means 33 refers to a database stored in the storage unit 304, for example, and specifies device information corresponding to control information for controlling the ventilation device 2.
  • the device information specifying means 33 may specify device information corresponding to control information for controlling the ventilation device 2, for example, by referring to a database stored in an external storage medium.
  • the setting means 34 acquires operation information and control information according to the device information of the ventilation device 2 specified by the device information specifying means 33, and sets it for the ventilation control device 3.
  • the operation information is , is information indicating the operation details of the ventilation device, and includes "start", "increase the air flow rate by one level", etc.
  • the setting unit 34 refers to a database stored in the storage unit 304, for example, and obtains operation information and control information corresponding to the device information specified by the device information specifying unit 33.
  • the setting means 34 may refer to a database stored in an external storage medium, for example, and obtain the operation information and control information according to the device information specified by the device information specifying means 33.
  • ventilation control system 1 is referred to as “temperature adjustment control system”
  • ventilation control device 2 is referred to as “temperature adjustment device”
  • ventilation control device operation unit 200 is referred to as “temperature adjustment control system.”
  • adjustment device operation section and “ventilation control device 3” may be read as “temperature adjustment control device” respectively.
  • the temperature adjustment control system includes a temperature adjustment device corresponding to the ventilation device 2, a temperature adjustment device operation section corresponding to the ventilation device operation section 200, and a temperature adjustment control device corresponding to the ventilation control device 3.
  • the temperature adjustment device is an existing device that adjusts the indoor temperature, and is installed by being connected by wire to the temperature adjustment device operation section.
  • Examples of the temperature control device include a total heat exchanger, an air conditioner without a ventilation function, and other air conditioning equipment.
  • the temperature adjustment device operation unit is an existing operation unit that outputs control information for controlling the temperature adjustment device, and is, for example, an operation panel for operating the temperature adjustment device.
  • the temperature adjustment control device is newly installed between the existing temperature adjustment device and the existing temperature adjustment device operating section.
  • “between the existing temperature adjustment device and the existing temperature adjustment device operation section” means that the temperature adjustment device and the temperature adjustment device operation section are connected by wire via the temperature adjustment control device.
  • the temperature adjustment control device is connected by wire to the temperature adjustment device and the temperature adjustment device operation unit so that each information can be sent and received.
  • the temperature adjustment control device has, for example, the same configuration as the ventilation control device 3, and uses a known single board computer.
  • the temperature adjustment control device includes, for example, like the ventilation control device 3, the above-mentioned communication means 31, storage means 32, device information specifying means 33, and setting means 34.
  • FIG. 6 is a flowchart showing an example of the operation of the ventilation control system 1 in this embodiment.
  • FIG. 7 is a schematic diagram showing an example of information related to the ventilation control system 1 in this embodiment.
  • FIGS. 8(a) to 8(b) are schematic diagrams showing an example of a database related to the ventilation control system 1 in this embodiment.
  • FIGS. 9(a) to 9(b) are schematic diagrams showing an example of the first database related to the ventilation control system 1 in this embodiment.
  • FIGS. 10(a) to 10(c) are schematic diagrams showing an example of the second database related to the ventilation control system 1 in this embodiment.
  • FIGS. 11(a) to 11(b) are schematic diagrams showing an example of details of the second database related to the ventilation control system 1 in this embodiment.
  • the ventilation control system 1 is executed, for example, via a ventilation control program installed in the ventilation control device 3.
  • the operation of the ventilation control system 1 includes, for example, as shown in FIG. 6, a device information specifying step S110 and a setting step S120.
  • the ventilation control device 3 acquires the control information D33' included in the control information D33 from the ventilation device operating section 200.
  • the device information specifying means 33 refers to the first database 61 and specifies the device information D31 corresponding to the control information D33 that the ventilation control device 3 has acquired from the ventilator operation unit 200.
  • the ventilation control system 1 may acquire, for example, the operation information D32 of the ventilation device 2 together with the device information D31.
  • the device information D31 includes information regarding the ventilation device 2.
  • the device information D31 includes type information (ventilation fan, air conditioner, etc.) of the ventilation device 2, manufacturer information, model number information, and the like.
  • the operation information D32 includes information indicating the operation details of the ventilation device 2.
  • the operation information D32 includes information indicating operation details such as, for example, "activating" the ventilation device 2 or "increasing the air flow rate by one level.”
  • the operation information D32 acquired by various devices is not limited to a form that acquires all information indicating the operation details of the ventilation device 2, but may indicate the operation details of the ventilation device 2 as necessary. This includes the form in which at least part of the information is obtained.
  • the control information D33 includes information for controlling the ventilation device 2.
  • the control information D33 includes signal information for controlling the ventilation device 2, for example.
  • the control information D33 that the ventilation control device 3 acquires from the ventilation device operation unit 200 will be described as control information D33'.
  • Control information D33' is included in control information D33 and is the same type of information as control information D33.
  • the control information D33 acquired by various devices is not limited to a form in which all information for controlling the ventilation device 2 is acquired, and the control information D33 is used to control the ventilation device 2 as necessary. including the form in which at least part of the information for the purpose is obtained.
  • the first database 61 is stored in the ventilation control device 3, for example.
  • the first database 61 is stored in the storage unit 304 included in the ventilation control device 3, for example.
  • the first database 61 may be stored in an external storage medium, for example.
  • the first database 61 for example, reference device information D61-1 including device information D31 of the ventilation device 2 and reference control information D63-1 including control information D33 of the ventilation device 2 are stored in advance in a linked manner. Ru.
  • the first database 61 includes a device information table T611 for storing reference device information D61-1 and a control information table T611 for storing reference control information D61-3. T613.
  • the device information table T611 stores reference device information D61-1, for example, as shown in FIG. 9(a).
  • the reference device information D61-1 is stored, for example, in the device information table T611.
  • the reference device information D61-1 includes, for example, device information of a ventilation device.
  • the reference device information D61-1 includes, for example, ventilation device type information (ventilation fan, air conditioner, etc.), manufacturer information, model number information, and the like.
  • the reference device information D61-1 includes, for example, device information D31.
  • Control information table T613 stores reference control information D63-1, as shown in FIG. 9(b), for example.
  • the reference control information D63-1 is stored, for example, in the control information table T613.
  • the reference control information D63-1 includes, for example, control information for a ventilation system.
  • the reference control information D63-1 includes, for example, signal information for controlling a ventilation device.
  • the reference control information D63-1 includes, for example, the control information D33.
  • the control information included in the reference control information D63-1 is linked, for example, with the device information included in the reference device information D61-1.
  • model number information "A123” made by manufacturer A and signal information "10XXX” for controlling model number information "A123” are linked.
  • model number information "B456” made by manufacturer B and the signal information "20XXX” for controlling the model number information "B456” are linked.
  • the setting means 34 refers to the second database 62 and sets the operation information D32 and control information D33 according to the device information D31 specified by the device information specifying means 33 in the device information specifying step S110.
  • the acquired operation information D32 and control information D33 are acquired from the second database 62 and set for the ventilation control device 3.
  • the ventilation device 2 can be controlled regardless of the type, manufacturer, model number, etc. of the ventilation device 2.
  • the control information D33 acquired by the setting means 34 in the setting step S120 is not limited to acquiring all the control information for controlling the ventilation apparatus 2, but for example, the control information D33 for controlling the ventilation apparatus 2.
  • the setting means 34 may acquire only the same control information as the control information D33' that the ventilation control device 3 acquired from the ventilation device operation unit 200 in the device information specifying step S110, and the control information Only the control information including the control information D33′ included in the control information D33 may be acquired, or the control information including the control information D33′ included in the control information D33 excluding the control information D33′ may be acquired. Only control information may be acquired.
  • the operation information D32 acquired by the setting means 34 in the setting step S120 is also similar to the control information D33, and is not limited to acquiring all the information indicating the operation contents of the ventilation device 2. Only part of the information indicating the operation details may be acquired, and the same applies below.
  • the second database 62 is stored in the ventilation control device 3, for example.
  • the second database 62 is stored in the storage unit 304 included in the ventilation control device 3, for example.
  • the second database 62 may be stored in an external storage medium, for example.
  • the second database 62 may be stored, for example, in the same storage medium as the first database 61, or may be stored in a different storage medium.
  • the second database 62 includes, for example, reference operation information D62-2 including operation information D32 of the ventilation device 2, reference control information D63-2 including control information D33 of the ventilation device 2, and device information of the ventilation device 2.
  • Each reference device information D61-2 including D31 is stored in association with each other in advance.
  • the second database 62 includes a device information table T621 for storing reference device information D61-2 and an operation information table T621 for storing reference operation information D62-2. T622, and a control information table T623 for storing reference control information D63-2.
  • the device information table T621 stores reference device information D61-2, for example, as shown in FIG. 10(a).
  • the reference device information D61-2 is stored, for example, in the device information table T621.
  • the reference device information D61-2 includes, for example, the same information as the reference device information D61-1.
  • the operation information table T622 stores reference operation information D62-2, as shown in FIG. 10(b), for example.
  • the reference operation information D62-2 is stored, for example, in the operation information table T622.
  • the reference operation information D62-2 includes, for example, operation information indicating operation details of the ventilation device.
  • the reference operation information D62-2 includes, for example, the operation information D32.
  • Control information table T623>> The control information table T623 stores reference control information D63-2, as shown in FIG. 10(c), for example.
  • the reference control information D63-2 is stored, for example, in the control information table T623.
  • the reference control information D63-2 includes, for example, the same information as the reference control information D63-1.
  • the reference device information D61-2 includes a library number assigned to each piece of device information including type information, manufacturer information, model number information, etc., as shown in FIG. 11(a), for example.
  • the reference device information D61-2 includes, for example, type information "ventilation fan”, manufacturer information "Company A”, model number information "A123”, and library number "1".
  • the operation details of the library number "1" included in the reference device information D61-2 and the model number information "A123” included in the reference operation information D62-2 The operation information indicating "start” and the signal information "10001” included in the reference control information D63-2 and used to control the model number information "A123” to execute the operation content "start” are linked. It will be done. Also, for example, the library number "1" included in the reference device information D61-2 and the operation content "increase the air blow rate by one level” for the model number information "A123” included in the reference operation information D62-2 are shown.
  • the operation information is associated with signal information "10002" for controlling the model number information "A123” to execute the operation content "increase the air blowing amount by one level”.
  • the reference operation information D62-2 and the reference control information D63-2 are stored in advance in association with each reference device information D61-2.
  • the reference operation information D62-2 and the reference control information D63-2 may be linked to the model number information "A123", for example, without using the library number included in the reference device information D61-2. .
  • each step described above is carried out, the operation of the ventilation control system 1 in this embodiment is completed.
  • each step mentioned above may be implemented repeatedly, for example.
  • ventilation control system 1 is referred to as “temperature adjustment control system”
  • ventilation control device 2 is referred to as “temperature adjustment device”
  • ventilation control device operation unit 200 is referred to as “temperature adjustment control system.”
  • adjustment device operation section and “ventilation control device 3” may be read as “temperature adjustment control device” respectively.
  • the operation of the temperature adjustment control system is executed, for example, via a temperature adjustment control program installed in the temperature adjustment control device.
  • the operation of the temperature adjustment control system may include, for example, the above-described device information specifying step S110 and setting step S120, similarly to the operation of the ventilation control system 1.
  • the temperature adjustment control device acquires the control information D33' included in the control information D33, for example from the temperature adjustment device operating section.
  • the device information specifying means 33 refers to the first database 61 and specifies the device information D31 corresponding to the control information D33 that the temperature adjustment control device acquires from the temperature adjustment device operating section.
  • the temperature adjustment control system may acquire, for example, the operation information D32 of the temperature adjustment device together with the device information D31.
  • the device information D31 includes, for example, type information of the temperature control device (such as an air conditioner without a total heat exchanger or ventilation function), manufacturer information, model number information, and the like.
  • the operation information D32 includes information indicating operation details, such as “activating” the temperature control device or “increasing the indoor temperature by 1° C.”, for example.
  • the setting means 34 refers to the second database 62 and sets the operation information D32 and control information D33 according to the device information D31 specified by the device information specifying means 33 in the device information specifying step S110.
  • the obtained operation information D32 and control information D33 are obtained from the second database 62 and set for the temperature adjustment control device.
  • the temperature control device can be controlled regardless of the type, manufacturer, model number, etc. of the temperature control device. Thereby, the convenience of the temperature control device can be improved.
  • the ventilation control system 1 includes a device information specifying means 33 that specifies the device information D31 corresponding to the control information D33' acquired from the ventilation device operating section 200, and a device specified by the device information specifying means 33.
  • a setting means 34 that acquires operation information D32 and control information D33 corresponding to the information D31 from the second database 62, and sets the acquired operation information D32 and control information D33 to the ventilation control device 3; Equipped with Therefore, the ventilation device 2 can be controlled regardless of the type, manufacturer, model number, etc. of the ventilation device 2. Thereby, the convenience of the ventilation device 2 can be improved.
  • the ventilation control device 3 includes a device information specifying means 33 that specifies the device information D31 corresponding to the control information D33' acquired from the ventilation device operation unit 200, and a device specified by the device information specifying device 33.
  • a setting means 34 that acquires operation information D32 and control information D33 corresponding to the information D31 from the second database 62, and sets the acquired operation information D32 and control information D33 to the ventilation control device 3; Equipped with Therefore, the ventilation device 2 can be controlled regardless of the type, manufacturer, model number, etc. of the ventilation device 2. Thereby, the convenience of the ventilation device 2 can be improved.
  • the ventilation control program includes a device information specifying step S110 that specifies the device information D31 corresponding to the control information D33' acquired from the ventilator operation unit 200, and the device information specified by the device information specifying step S110.
  • the temperature adjustment control system includes a device information specifying means 33 that specifies device information D31 corresponding to control information D33' acquired from a temperature control device operating section, and a device specified by the device information specifying means 33.
  • a setting means 34 that acquires operation information D32 and control information D33 corresponding to the information D31 from the second database 62, and sets the acquired operation information D32 and control information D33 to the temperature adjustment control device; Equipped with Therefore, the temperature control device can be controlled regardless of the type, manufacturer, model number, etc. of the temperature control device. Thereby, the convenience of the temperature control device can be improved.
  • the temperature adjustment control device includes the device information specifying means 33 that specifies the device information D31 corresponding to the control information D33' acquired from the temperature control device operating section, and the device specified by the device information specifying means 33.
  • a setting means 34 that acquires operation information D32 and control information D33 corresponding to the information D31 from the second database 62, and sets the acquired operation information D32 and control information D33 to the temperature adjustment control device; Equipped with Therefore, the temperature control device can be controlled regardless of the type, manufacturer, model number, etc. of the temperature control device. Thereby, the convenience of the temperature control device can be improved.
  • the temperature adjustment control program includes a device information specifying step S110 that specifies the device information D31 corresponding to the control information D33' acquired from the temperature control device operation unit, and a device information specifying step S110 that specifies the device information D31 that corresponds to the control information D33' acquired from the temperature control device operation unit.
  • a setting step S120 of acquiring operation information D32 and control information D33 corresponding to the information D31 from the second database 62, and setting the acquired operation information D32 and control information D33 for the temperature adjustment control device have the computer execute it. Therefore, the temperature control device can be controlled regardless of the type, manufacturer, model number, etc. of the temperature control device. Thereby, it is possible to provide a temperature control device with improved convenience.
  • FIG. 12 is a schematic diagram showing an example of a detailed configuration of the ventilation control device 3 in this embodiment.
  • the ventilation control device 3 further includes a learning data acquisition means 35 and a device information model generation means 36, and the device information specifying means 33 specifies the device information D31 by referring to the learning model. This is different from the first embodiment. Note that the description of the same configurations as those described above will be omitted.
  • the ventilation control device 3 further includes learning data acquisition means 35 and device information model generation means 36, as shown in FIG. 12, for example.
  • the device information specifying means 33 refers to a learning model stored in advance in the first database 61, for example, and specifies device information corresponding to the control information acquired from the ventilation device operation unit 200.
  • the learning data acquisition means 35 reproduces and generates the acquired control information as reproduction control information, for example, and acquires control information including the generated reproduction control information and device information of the ventilation device as learning data.
  • the reproduction control information will be explained later.
  • the device information model generation means 36 generates a learning model by machine learning, for example, based on the learning data acquired by the learning data acquisition means 35.
  • the device information model generation unit 36 generates a device information model, which will be described later, based on learning data including reproduction control information and device information, which is acquired by the learning data acquisition unit 35, for example.
  • the description of the configuration of the ventilation control system 1 in this embodiment can also be replaced with the description of the configuration of the temperature adjustment control system.
  • the temperature adjustment control device further includes the above-described learning data acquisition means 35 and device information model generation means 36.
  • FIG. 13 is a flowchart showing an example of the operation of the ventilation control system 1 in this embodiment.
  • FIG. 14 is a schematic diagram showing an example of a learning method of a learning model related to the ventilation control system 1 in this embodiment.
  • the operation of the ventilation control system 1 further includes a learning data acquisition step S130 and an apparatus information model generation step S140, as shown in FIG. 13, for example.
  • the learning data acquisition means 35 reproduces and generates the control information D33' acquired from the ventilation device operation unit 200, and selects the relevant ventilation device from among the reproduction control information output to the ventilation device 2.
  • Learning data D71 including reproduction control information that allows control corresponding to the operation information D32 of No. 2 and device information D31 of the ventilation device 2 is acquired.
  • the reproduction control information is control information that is newly generated by imitating, for example, the signal information included in the control information D33' of the ventilation device 2.
  • the control information D33' is information for controlling the ventilation apparatus 2 so that the operation indicated by the operation information D32 is performed.
  • some of the generated reproduction control information may not be able to control the ventilation apparatus 2 so that the operation indicated by the operation information D32 is performed.
  • the learning data acquisition means 35 outputs the generated reproduction control information to the ventilation apparatus 2, and only reproduces the reproduction control information that can control the ventilation apparatus 2 so that the operation indicated by the operation information D32 is performed. It may also be acquired as D71.
  • the learning data acquisition means 35 may acquire, as the learning data D71, only reproduction control information for which it is confirmed by the operation of the ventilation device 2 that the ventilation device 2 can be controlled so that the operation indicated by the operation information D32 is performed. .
  • the learning data D71 is used for machine learning to generate a device information model 81, which will be described later, as shown in FIG. 14, for example.
  • the learning data D71 is, for example, a data set including input data D711 and output data D712.
  • the input data D711 is used as part of the learning data used for machine learning to generate the device information model 81.
  • the input data D711 includes, for example, reference control information D63-1 acquired in advance.
  • the output data D712 is used as part of the learning data D71 used for machine learning to generate the device information model 81.
  • the output data D712 includes, for example, reference device information D61-1 acquired in advance.
  • a combination of a set of input data D711 and output data D712 included in the learning data D71 is, for example, reference control information D63-1 included in the input data D711 and reference device information D61-1 included in the output data D712. Contains combinations in which these are linked.
  • a combination in which the reference control information D63-1 and the reference device information D61-1 are linked is control information indicating signal information "10XXX” for controlling the model number "A123" of the ventilation device 2, and ventilation Device information including the model number "A123” of device 2 is linked.
  • control information indicating signal information "10XXX” for controlling model number "A123” and device information including manufacturer "Company A” of model number "A123” of ventilator 2 are linked. Good too.
  • the device information model 81 generated using learning data D71 such as these it becomes possible to specify the device information D31 that corresponds to the control information D33' acquired from the ventilation device operating section 200.
  • the device information model generation means 36 generates the device information model 81 by machine learning based on the learning data D71 acquired by the learning data acquisition means 35. That is, it is possible to generate a learning model compatible with the ventilation device 2 for which the learning data D71 cannot be arranged. Therefore, the device information D31 of various ventilation devices 2 can be specified. Thereby, the convenience of various ventilation devices 2 can be improved.
  • the device information model 81 is generated, for example, by machine learning using the learning data D71.
  • the device information model 81 is generated using a plurality of learning data D71, for example, a data set including input data D711 and output data D712 as the learning data D71.
  • the device information model 81 is stored in the first database 61, for example.
  • the device information model 81 is a regression model generated based on the analysis result, which is analyzed by regression analysis or the like using, for example, input data D711 as an explanatory variable and output data D712 as an objective variable.
  • the device information model 81 includes, for example, a device information relationship 810 having a degree of device information relationship between input data D711 and output data D712.
  • the device information association 810 may be generated, for example, by machine learning using a plurality of learning data D71.
  • the device information association degree indicates the degree of connection between the input data D711 and the output data D712, and for example, it can be determined that the higher the device information association degree is, the stronger the connection between each piece of data is.
  • the device information association degree may be expressed in three or more values (three or more levels) such as a percentage, or may be expressed in two or more values (two or more levels).
  • the device information relationship 810 is constructed based on the degree of connection between, for example, many-to-many information (a plurality of input data D711, a pair, and a plurality of output data D712).
  • the device information association 810 is updated as appropriate in the process of machine learning, and indicates a function (classifier) that is optimized based on, for example, a plurality of input data D711 and a plurality of output data D712.
  • the device information association 810 may include, for example, a plurality of device information association degrees that indicate the degree of connection between each piece of data. For example, when a database is constructed using a neural network, the device information association degree can be made to correspond to a weight variable.
  • the ventilation control system 1 selects the output data D712 suitable for the input data D711, for example, using the device information association 810 based on all the results determined by the classifier.
  • output data D712 suitable for input data D711 can be quantitatively selected not only when input data D711 is the same or similar to output data D712, but also when they are dissimilar.
  • the device information relationship 810 may indicate, for example, the degree of connection between the plurality of input data D711 and the plurality of output data D712.
  • the device information relationship 810 by using the device information relationship 810, the relationship between a plurality of output data D712 (for example, output data A, output data B) with respect to each of a plurality of input data D711 (for example, input data A, input data B). It is possible to associate and store the degree of Therefore, for example, a plurality of input data D711 can be linked to one output data D712 via the device information association 810. Thereby, it is possible to realize a multifaceted selection of output data D712 with respect to input data D711.
  • the device information association 810 has, for example, a plurality of device information association degrees that respectively link each input data D711 and each output data D712.
  • the device information association degree is expressed in three or more levels, such as a percentage, 10 levels, or 5 levels, and is expressed, for example, as line characteristics (such as thickness).
  • the "input data A" included in the input data D711 indicates the device information correlation degree AA "73%" with the "output data A" included in the output data D712, and the "output data A” included in the output data D712
  • the device information correlation degree AB with "data B" is "12%". That is, the "device information association degree" indicates the degree of connection between each piece of data; for example, the higher the device information association degree, the stronger the connection between each piece of data.
  • the device information association 810 at least one hidden layer may be provided between the input data D711 and the output data D712.
  • the above-mentioned device information association degree is set in either or both of the input data D711 and the hidden layer data, and this becomes the weighting of each data, and the output is selected based on this. Then, when this degree of device information association exceeds a certain threshold value, the output may be selected.
  • the device information model 81 may include a learned model generated by machine learning using a plurality of learning data D71, for example.
  • the trained models include, for example, neural network models such as CNN (Convolutional Neural Network), SVM (Support Vector Machine), and the like. Further, as machine learning, for example, deep learning can be used.
  • the input data D711 may be generated in a pseudo manner by using, for example, a generative adversarial network (GAN) as machine learning.
  • GAN generative adversarial network
  • the device information model 81 including device information relationships 810 such as these, it becomes possible to specify the device information D31 that corresponds to the control information D33' acquired from the ventilation device operating section 200.
  • the device information specifying means 33 refers to the device information model 81 generated by the device information model generating means 36 in the device information model generating step S140, and then determines the control acquired from the ventilation device operation unit 200.
  • Device information D31 corresponding to information D33' is specified. Therefore, the accuracy of identifying the device information D31 of the ventilation device 2 can be improved. Thereby, the convenience of the ventilation device 2 can be further improved.
  • the operation of the temperature adjustment control system may further include, for example, similarly to the operation of the ventilation control system 1, a learning data acquisition step S130 and an apparatus information model generation step S140.
  • the learning data acquisition means 35 of the temperature adjustment device reproduces and generates the control information D33' acquired from the temperature adjustment device operating section, and selects among the reproduced control information output to the temperature adjustment device. , acquires learning data D71 including reproduction control information that allows control corresponding to the operation information D32 of the temperature adjustment device, and device information D31 of the temperature adjustment device.
  • the device information model generation means 36 of the temperature adjustment device generates the device information model 81 by machine learning based on the learning data D71 acquired by the learning data acquisition means 35. That is, it is possible to generate a learning model compatible with a temperature control device for which learning data D71 cannot be arranged. Therefore, device information D31 of various temperature control devices can be specified. Thereby, it is possible to improve the convenience of various temperature control devices.
  • the device information specifying means 33 of the temperature control device refers to the device information model 81 generated by the device information model generating device 36 in the device information model generation step S140, and then determines the temperature control device operating unit.
  • the device information D31 corresponding to the control information D33' acquired from the control information D33' is specified. Therefore, the accuracy of identifying the device information D31 of the temperature control device can be improved. Thereby, the convenience of the temperature control device can be further improved.
  • the device information specifying means 33 of the ventilation control device 3 sets a set of input data D711 including reference control information D63-1 and output data D712 including reference device information D61-1. Using the dataset as the learning data D71 and referring to the device information model 81 generated by machine learning, the device information D31 corresponding to the control information D33' acquired from the ventilator operation unit 200 is specified. Therefore, the accuracy of identifying the device information D31 of the ventilation device 2 can be improved. Thereby, the convenience of the ventilation device 2 can be further improved.
  • the ventilation control system 1 reproduces the control information D33' acquired from the ventilation device operation unit 200, and out of the reproduction control information output to the ventilation device 2, the ventilation control system 1 reproduces the operation information of the ventilation device 2.
  • a learning data acquisition means 35 that acquires learning data D71 including reproduction control information capable of controlling D32 and device information D31 of the ventilation device 2; and learning data D71 acquired by the learning data acquisition means 35.
  • the apparatus further includes a device information model generation means 36 that generates a device information model 81 by machine learning based on the above information. That is, it is possible to generate a learning model compatible with the ventilation device 2 for which learning data cannot be arranged. Therefore, the device information D31 of various ventilation devices 2 can be specified. Thereby, the convenience of various ventilation devices 2 can be improved.
  • FIG. 15 is a schematic diagram showing an example of a detailed configuration of the ventilation control device 3 in this embodiment.
  • the ventilation control device 3 further includes a learning data acquisition means 35 and a control information model generation means 37, and the setting means 34 refers to the learning model and then generates the operation information D32 and responds to the operation information D32.
  • This embodiment differs from the first embodiment in that the control information D33 is acquired. Note that the description of the same configurations as those described above will be omitted.
  • the ventilation control device 3 further includes a learning data acquisition means 35 and a control information model generation means 37, as shown in FIG. 15, for example.
  • the setting means 34 refers to a learning model stored in advance in the second database 62, for example, and sets operation information according to the device information specified by the device information specifying means 33, control information corresponding to the operation information, get.
  • the setting means 34 sets the acquired operation information and control information in the ventilation control device 3.
  • the learning data acquisition means 35 reproduces and generates the acquired control information as reproduction control information, for example, and acquires control information including the generated reproduction control information and operation information of the ventilation apparatus as learning data.
  • Control information model generation means 37 generates a learning model by machine learning, for example, based on the learning data acquired by the learning data acquisition means 35.
  • the control information model generation means 37 generates a control information model, which will be described later, based on learning data including reproduction control information and operation information, which are acquired by the learning data acquisition means 35, for example.
  • the temperature adjustment control device for example, similarly to the ventilation control device 3, further includes the above-described learning data acquisition means 35 and control information model generation means 37.
  • FIG. 16 is a flowchart showing an example of the operation of the ventilation control system 1 in this embodiment.
  • FIG. 17 is a schematic diagram showing an example of a learning method of a learning model related to the ventilation control system 1 in this embodiment.
  • the operation of the ventilation control system 1 further includes a learning data acquisition step S130 and a control information model generation step S150, as shown in FIG. 16, for example.
  • the learning data acquisition means 35 reproduces and generates the control information D33' acquired from the ventilation device operation unit 200, and selects the relevant ventilation device from among the reproduction control information output to the ventilation device 2.
  • Learning data D72 including reproduction control information that allows control corresponding to the operation information D32 of No. 2 and operation information D32 of the ventilation device 2 is acquired.
  • the learning data D72 is used for machine learning to generate a control information model 82, which will be described later, as shown in FIG. 17, for example.
  • the learning data D72 is, for example, a data set including input data D721 and output data D722.
  • the input data D721 is used as part of learning data used for machine learning to generate the control information model 82.
  • the input data D721 includes, for example, reference operation information D62-2 acquired in advance.
  • the output data D722 is used as part of the learning data D72 used for machine learning to generate the control information model 82.
  • the output data D722 includes, for example, reference control information D63-2 acquired in advance.
  • a combination of a set of input data D721 and output data D722 included in the learning data D72 is, for example, reference operation information D62-2 included in the input data D721 and reference control information D63-2 included in the output data D722. Contains combinations in which these are linked.
  • An example of a combination in which the reference operation information D62-2 and the reference control information D63-2 are linked is operation information indicating the operation content of "starting" the model number "A123" of the ventilation device 2, and Control information indicating signal information "10XXX” for controlling "activation" of model number "A123” is linked.
  • the operation information D32 corresponding to the device information D31 specified by the device information specifying means 33 and the control information corresponding to the operation information D32 can be obtained. It becomes possible to obtain D33.
  • Control information model generation step S150 the control information model generation means 37 generates the control information model 82 by machine learning based on the learning data D72 acquired by the learning data acquisition means 35. That is, it is possible to generate a learning model compatible with the ventilation device 2 for which learning data cannot be arranged. Therefore, even if the control information D33 of the ventilation device 2 is unknown, more accurate control information D33 can be newly generated. Thereby, it is possible to improve the convenience of the ventilation device 2 in more variety.
  • the control information model 82 is generated, for example, by machine learning using the learning data D72.
  • the control information model 82 is generated using a plurality of learning data D72, for example, using a data set including input data D721 and output data D722 as the learning data D72.
  • the control information model 82 is stored in the second database 62, for example.
  • the control information model 82 is a regression model generated based on the analysis result, which is analyzed by regression analysis or the like using, for example, input data D721 as an explanatory variable and output data D722 as an objective variable.
  • the control information model 82 includes, for example, a control information association 820 having a control information association degree between input data D721 and output data D722.
  • the control information association 820 may be generated, for example, by machine learning using a plurality of learning data D72.
  • the degree of control information association indicates the degree of connection between the input data D721 and the output data D722, and for example, it can be determined that the higher the degree of control information association, the stronger the connection between each data.
  • the degree of control information association may be expressed in three or more values (three or more levels) such as a percentage, or may be expressed in two or more values (two or more levels).
  • the control information association 820 is constructed based on the degree of connection between, for example, many-to-many information (a plurality of input data D721, a pair, and a plurality of output data D722).
  • the control information association 820 is updated as appropriate in the process of machine learning, and indicates a function (classifier) that is optimized based on, for example, a plurality of input data D721 and a plurality of output data D722.
  • the control information association 820 may have, for example, a plurality of control information association degrees that indicate the degree of connection between each piece of data. For example, when a database is constructed using a neural network, the degree of control information association can be made to correspond to a weight variable.
  • the ventilation control system 1 selects the output data D722 suitable for the input data D721, for example, using the control information association 820 based on all the results determined by the classifier. With this, it is possible to quantitatively select output data D722 suitable for input data D721, not only when input data D721 is the same as or similar to output data D722, but also when they are dissimilar.
  • the control information relationship 820 may indicate, for example, the degree of connection between the plurality of input data D721 and the plurality of output data D722.
  • the control information association 820 by using the control information association 820, the relationship between a plurality of output data D722 (for example, output data A, output data B) with respect to each of a plurality of input data D721 (for example, input data A, input data B)
  • a plurality of input data D721 can be linked to one output data D722 via the control information association 820.
  • the control information association 820 has, for example, a plurality of control information association degrees that respectively link each input data D721 and each output data D722.
  • the degree of control information association is expressed in three or more levels, such as a percentage, 10 levels, or 5 levels, and is expressed, for example, as line characteristics (such as thickness).
  • the "input data A" included in the input data D721 indicates the control information correlation degree AA "73%" with the "output data A" included in the output data D722, and the "output data A” included in the output data D722
  • the control information association degree AB with "data B" is "12%". That is, the "control information association degree” indicates the degree of connection between each piece of data, and for example, the higher the control information association degree, the stronger the connection between each piece of data.
  • control information association 820 at least one hidden layer may be provided between the input data D721 and the output data D722.
  • the above-described control information association degree is set in either or both of the input data D721 or the hidden layer data, and this serves as a weighting for each data, and output selection is performed based on this. Then, when this degree of control information association exceeds a certain threshold value, the output may be selected.
  • the control information model 82 may include a learned model generated, for example, by machine learning using a plurality of learning data D72.
  • the trained models include, for example, neural network models such as CNN (Convolutional Neural Network), SVM (Support Vector Machine), and the like. Further, as machine learning, for example, deep learning can be used.
  • the input data D721 may be generated in a pseudo manner by using, for example, a generative adversarial network (GAN) as machine learning.
  • GAN generative adversarial network
  • control information model 82 including these control information relationships 820, the operation information D32 corresponding to the device information D31 specified by the device information specifying means 33, and the control information D33 corresponding to the operation information D32. , it becomes possible to obtain.
  • the setting means 34 refers to the control information model 82 generated by the control information model generating means 37 in the control information model generating step S150, and then performs the following according to the device information D31 specified by the device information specifying means 33.
  • the operation information D32 and the control information D33 corresponding to the operation information D32 are acquired. In this case, even if the control information D33 of the ventilation device 2 is unknown, the control information D33 can be newly generated. Thereby, the convenience of various ventilation devices 2 can be improved.
  • the operation of the temperature adjustment control system may further include, for example, similarly to the operation of the ventilation control system 1, a learning data acquisition step S130 and a control information model generation step S150.
  • the learning data acquisition means 35 of the temperature adjustment control device reproduces and generates the control information D33' acquired from the temperature adjustment device operating section, and reproduces the reproduction control information output to the temperature adjustment device.
  • learning data D72 including reproduction control information that allows control corresponding to the operation information D32 of the temperature adjustment device and operation information D32 of the temperature adjustment device is acquired.
  • control information model generation means 37 of the temperature adjustment control device generates the control information model 82 by machine learning based on the learning data D72 acquired by the learning data acquisition means 35. That is, it is possible to generate a learning model compatible with a temperature control device for which learning data cannot be arranged. Therefore, even if the control information D33 of the temperature adjustment device is unknown, more accurate control information D33 can be newly generated. Thereby, it is possible to improve the convenience of a wider variety of temperature control devices.
  • the setting means 34 of the temperature adjustment control device refers to the control information model 82 generated by the control information model generating means 37 in the control information model generating step S150, and then specifies the information specified by the device information specifying means 33. Operation information D32 corresponding to the device information D31 and control information D33 corresponding to the operation information D32 are acquired. In this case, even if the control information D33 of the temperature adjustment device is unknown, the control information D33 can be newly generated. Thereby, it is possible to improve the convenience of various temperature control devices.
  • the setting means 34 sets the data set including the input data D721 including the reference operation information D62-2 and the output data D722 including the reference control information D63-2 as the learning data.
  • the ventilation control system 1 reproduces the control information D33' acquired from the ventilation device operation unit 200, and out of the reproduction control information output to the ventilation device 2, the ventilation control system 1 reproduces the operation information of the ventilation device 2.
  • the machine It further includes control information model generation means 37 that generates the control information model 82 through learning. That is, it is possible to generate a learning model compatible with the ventilation device 2 for which learning data cannot be arranged. Therefore, even if the control information D33 of the ventilation device 2 is unknown, more accurate control information D33 can be newly generated. Thereby, it is possible to improve the convenience of the ventilation device 2 in more variety.
  • Ventilation control system 1 An example of the ventilation control system 1 in this embodiment will be described with reference to FIGS. 18 and 19.
  • 18 to 19 are schematic diagrams showing an example of the configuration of the ventilation control system 1 in this embodiment.
  • This embodiment differs from the first embodiment in that the ventilation control system 1 further includes an information acquisition means 41 and a determination means 38. Note that the description of the same configurations as those described above will be omitted.
  • the ventilation control system 1 further includes an information acquisition unit 41 that acquires various information, and a determination unit 38 that determines the degree of necessity of controlling the ventilation device 2, as shown in FIG. 18(a), for example.
  • the ventilation control system 1 may further include a data server 9 for storing various information or control conditions, etc., and a management setting means 42 for managing the ventilation control system 1.
  • the information acquisition means 41 acquires various information.
  • the information acquisition means 41 includes, for example, as shown in FIG. 18(b), an indoor information acquisition means 411 that acquires indoor information, an external information acquisition means 412 that acquires external information, and a performance information acquisition means that acquires performance information. 413, indoor sensor information acquisition means 414 that acquires indoor sensor information, and outdoor sensor information acquisition means 415 that acquires outdoor sensor information. Details of the various information will be explained later.
  • the information acquisition means 41 may be provided separately from the ventilation control device 3, or may be provided in the ventilation control device 3.
  • the information acquisition means 41 is provided separately from the ventilation control device 3, for example, it is equipped with a known single board computer like the ventilation control device 3, and the CPU uses the RAM as a work area and reads programs stored in the ROM or the like. It may also work by executing.
  • the information acquisition means 41 may include, for example, a wireless communication control unit 410 for transmitting various acquired information to any communication device.
  • the wireless communication control unit 410 is connected to the information acquisition means 41 by wire, for example, and transmits various information acquired by the information acquisition means 41 to communication devices connected to the wireless communication network 4.
  • the information acquisition means 41 may transmit acquired various information to the ventilation control device 3 via the wireless communication control unit 410.
  • the information acquisition means 41 may transmit various types of acquired information to the data server 9, which will be described later, via the wireless communication control unit 410, for example.
  • the determining means 38 determines the degree of necessity of controlling the ventilation system 2.
  • the determining means 38 determines the degree of necessity of controlling the ventilation device 2, based on, for example, any one or a combination of various pieces of information acquired by the information acquiring means 41 and the control conditions.
  • the ventilation control device 3 outputs the control information D33 set by the setting device 34 to the ventilation device 2 based on the degree of necessity determined by the determining device 38. In this case, it is possible to automate the determination of the degree of necessity and the control of the ventilation device 2 according to the acquired various information. Thereby, the convenience of the ventilation device 2 can be further improved. Details of the control conditions will be explained later.
  • the determination means 38 may be provided separately from the ventilation control device 3, for example, or may be provided in the ventilation control device 3.
  • the determination means 38 may be provided, for example, in the information acquisition means 41, or may be provided in either the data server 9 or the management setting means 42, which will be described later.
  • the determining means 38 is realized, for example, by the CPU 301 executing a program stored in the storage unit 304 or the like using the RAM 303 as a work area.
  • the data server 9 includes, for example, a communication means 91 similar to the communication means 31 and a storage means 92 similar to the storage means 32.
  • the data server 9 stores the acquired information actually acquired by the various information acquisition means 411 to 415 and the calibration information obtained as a result of calibrating the acquired information, as well as various regulations and rules such as control conditions and calibration conditions. be done.
  • the data server 9 is connected to the ventilation control device 3 and the wireless communication control unit 410, for example, via the public communication network 4a.
  • the public communication network 4a may be constituted by a so-called optical fiber communication network, or may be realized by a known communication technology such as a wired communication network or a wireless communication network including LTE (Long Term Evolution).
  • a wireless communication network 4 may be used.
  • the data server 9 may be connected to various communication devices via a wireless communication access point 5, which will be described later, instead of the public communication network 4a.
  • the ventilation control system 1 may store the above information in the storage unit 304 of the ventilation control device 3 instead of the data server 9, or may store the above information in the storage unit 304 of the ventilation control device 3 in conjunction with the data server 9. It may be memorized.
  • the management setting means 42 is used by an administrator who actually controls the ventilation control system 1 to set, change, update, etc. control conditions for automatically controlling the ventilation apparatus 2.
  • the management setting means 42 is connected to the wireless communication control unit 410 included in the ventilation control device 3, the data server 9, and the information acquisition means 41, for example, via the public communication network 4a.
  • the management setting means 42 may be connected to various communication devices via the wireless communication access point 5 instead of the public communication network 4a.
  • the management setting means 42 is composed of, for example, an electronic device such as a personal computer (PC), but in addition to the PC, it can also be any other electronic device such as a mobile phone, a smartphone, a tablet terminal, a wearable terminal, etc. It may be something that is materialized.
  • This management setting means 42 displays acquired information, calibration information, etc. stored in the actual data server 9 on a user interface, for example, to the administrator who actually controls the ventilation control system 1.
  • the management setting means 42 also receives input from the administrator and adjusts or changes the control condition settings and calibration conditions stored in the data server 9.
  • the management setting means 42 sets control conditions based on various information acquired by the information acquisition means 41, for example. In this case, it is possible to automate the setting of control conditions according to the various acquired information. Thereby, the convenience of the ventilation device 2 can be further improved.
  • the ventilation control device 3 may be connected to various communication devices via a wireless communication access point 5 to transmit and receive information.
  • the ventilation control device 3 may be connected to various communication devices via a wireless communication network 4, for example, and may transmit and receive information.
  • the ventilation control device 3 is connected to, for example, a data server 9 to transmit and receive information.
  • the ventilation control device 3 is connected to, for example, a management setting means 42 to transmit and receive information.
  • the ventilation control device 3 may receive control conditions corresponding to various information acquired by the information acquisition means 41, for example.
  • the ventilation control device 3 may generate control information D33 based on the control conditions, for example, and output it to the ventilation device 2.
  • the wireless communication access point 5 is, for example, a gateway base station provided indoors or outdoors.
  • the wireless communication access point 5 is configured as a device for wireless communication between, for example, the ventilation control device 3, the data server 9, and the management setting means 42.
  • the description of the configuration of the ventilation control system 1 in this embodiment can also be replaced with the description of the configuration of the temperature adjustment control system.
  • the temperature adjustment control device further includes the above-mentioned information acquisition means 41 and determination means 38 that determines the degree of necessity of controlling the temperature adjustment device.
  • the temperature adjustment control system may further include a data server 9 for storing various information or control conditions, and management setting means 42 for managing the temperature adjustment control system.
  • the temperature adjustment control device outputs the control information D33 set by the setting device 34 to the temperature adjustment device based on the degree of necessity determined by the determination device 38. In this case, it is possible to automate the determination of the degree of necessity and the control of the device according to the various acquired information. Thereby, the convenience of the temperature control device can be further improved.
  • the management setting means 42 of the temperature adjustment control device sets control conditions based on various information acquired by the information acquisition means 41, for example. In this case, it is possible to automate the setting of control conditions according to the various acquired information. Thereby, the convenience of the temperature control device can be further improved.
  • FIG. 20 is a flowchart showing an example of the operation of the ventilation control system 1 in this embodiment.
  • FIG. 21 is a schematic diagram showing an example of an automatic control method for the ventilation control system 1 in this embodiment.
  • FIG. 22 is a schematic diagram showing an example of a learning method of a learning model related to the ventilation control system 1 in this embodiment.
  • the operation of the ventilation control system 1 further includes an information acquisition step S160 and a determination step S170, as shown in FIG. 20, for example.
  • the information acquisition means 41 acquires various information D41, as shown in FIG. 21, for example.
  • the various information D41 includes information necessary for determining the degree of necessity D38 in the ventilation control device 3, and includes, for example, indoor information D411, external information D412, performance information D413, indoor sensor information D414, outdoor sensor information D415, and the like.
  • the various information D41 acquired in the information acquisition step S160 may be calibrated with reference to the calibration conditions.
  • the various information D41 acquired in the information acquisition step S160 may be calibrated with reference to the calibration conditions.
  • the information acquisition means 41 refers to preset calibration conditions and performs calibration on the acquired various information D41.
  • the degree of necessity D38 of controlling the ventilation device 2 according to the various information D41 can be determined more accurately. Thereby, the convenience of the ventilation device 2 can be further improved.
  • the indoor information D411 includes, for example, the address of the building structure, the installation position and number of ventilation devices 2 in the room, the size of the room, the height of the ceiling in the room, the maximum number of people allowed in the room, business hours, and the past information about the room.
  • a recording device for acquired data such as congestion information can be used.
  • the indoor information acquisition means 411 is for acquiring indoor information D411, and may be input via a user interface such as a keyboard or a touch panel, or may already have such indoor information D411. It may be configured by a database, memory, etc. that acquired D411.
  • the external information D412 includes, for example, subsidy information, price information on the ventilation system 2, inventory information on the ventilation system 2, price information on maintenance and installation of the ventilation system 2, information on availability of the installation contractor for the ventilation system 2, and current contract information.
  • weather forecasts such as hail, sensible temperature index, heat shock forecast, heatstroke information, probability of precipitation, information on pollen, yellow sand, smog, PM2.5, etc., information on volcanic eruptions and the resulting gas filling, ash fall, Information on ocean waves, outdoor wind direction, wind speed, car congestion information, radiation information including those caused by nuclear power plant accidents, various news information, beer index, ice index, etc. on public communication networks such as the Internet.
  • a recording device or the like that records the acquired data can be used.
  • these external information D412 obtained from the public communication network is obtained as text information, it is subjected to natural language analysis, syntactic analysis, and semantic analysis as necessary, and then classified into information with various meanings. be done. For this reason, the external information acquisition means 412 may be equipped with a tool for natural language analysis of the external information D412 composed of text information.
  • the performance information D413 is constituted by, for example, a database or memory in which past performance values of the amount of electricity used by the ventilation device 2 are obtained in advance. This actual value of past electricity usage is shown by usage results, such as 150 kWh used from 12:00 to 13:00 last Wednesday, or 120 kWh used from 13:00 to 15:00 last Tuesday. It may be.
  • a recording device of acquired data such as various past control conditions of the ventilation device 2, past inputs of the ventilation device 2, etc. can be used as the performance information D413.
  • the performance information acquisition means 413 is for acquiring performance information D413, and may be inputted via a user interface such as a keyboard or a touch panel, or may already have such performance information. It may be configured by a database, memory, etc. that acquired D413.
  • an indoor temperature acquisition sensor that acquires indoor temperature
  • an indoor humidity acquisition sensor that acquires indoor humidity
  • an indoor carbon dioxide concentration acquisition sensor that acquires indoor carbon dioxide concentration
  • PM sensors, VOC sensors, and pollen sensors that measure the degree of pollution
  • indoor odor sensors that measure the degree of odor in the room
  • indoor ozone concentration sensors that measure the indoor ozone concentration
  • sensors that measure the number of people in the room
  • Human detection sensors human sensors, people counters, AI cameras, security cameras, etc.
  • floor temperature sensors air volume meters of the ventilation system 2
  • temperature acquisition sensors installed at the outlet of the ventilation system 2
  • Information acquired by the indoor sensor information acquisition means 414 such as a humidity acquisition sensor provided at the exit, a power consumption meter of the ventilation device 2, and a total operating time meter of the ventilation device 2, can be used.
  • a humidity acquisition sensor provided at the exit
  • a power consumption meter of the ventilation device 2 and a total operating time meter of the ventilation device 2
  • Outdoor sensor information D415 for example, an outdoor temperature acquisition sensor that acquires the outdoor temperature, an outdoor humidity acquisition sensor that acquires the outdoor humidity, a PM sensor or VOC that acquires the degree of outdoor pollution with PM2.5, smog, etc.
  • Information acquired by the outdoor sensor information acquisition means 415 such as a sensor, a pollen sensor, or an outdoor odor acquisition sensor that acquires the degree of outdoor odor can be used.
  • the determination means 38 determines the degree of necessity D38 of controlling the ventilator 2 based on the control condition D9.
  • the determination means 38 determines the degree of necessity D38 of controlling the ventilation apparatus 2 based on the various information D41 and the control conditions D9, as shown in FIG. 21, for example.
  • the determining means 38 determines the degree of necessity D38 of controlling the ventilation device 2 based on, for example, the indoor comfort level based on the indoor information D411, the outdoor comfort level based on the external information D412, and the control condition D9.
  • the determination means 38 transmits the determination result (degree of necessity D38) to the ventilation control device 3 when it is distinguished from the ventilation control device 3.
  • the ventilation control device 3 may output control information D33 for controlling the ventilation device 2 based on the determination result by the determination means 38.
  • the ventilation control device 3 may store the determination result in the storage means 32 and output a plurality of pieces of control information D33 based on the determination result.
  • the determination result stored in the ventilation control device 3 may be updated to a new determination result, or may be stored together with the new determination result.
  • the control conditions D9 include contents defined as regulations in which various information D41 acquired by the information acquisition means 41 and operation information D32 of the ventilation device 2 are linked.
  • the control condition D9 is stored in the data server 9 in advance, for example.
  • the control condition D9 is a control condition D9 for any one type or a combination of two or more of the various types of information D41 described above, such as a combination of indoor information D411 and external information D412.
  • the control condition model 83 which is generated by artificial intelligence (AI) in the same way as the learning models 81 and 82 (apparatus information model 81 and control information model 82) described above, is outputted as teacher data.
  • the control condition model 83 is generated in advance, for example, before the ventilation control system 1 operates.
  • the control condition D9 may be determined by combining time-series elements or other elements.
  • the concentration of CO2 is 1000 ppm or more, the air volume of the ventilation device 2 is made strong (or rapid), if the concentration of CO2 is less than 600 ppm, the ventilation device 2 is turned off. If the concentration of
  • the ventilation device 2 when the number of infected people is less than 10,000 people, the ventilation device 2 is switched to energy saving mode, and when the number of infected people is 10,000 or more, the ventilation device 2 is switched to the infection control mode. If a disaster occurs nearby, the ventilation system 2 will be strengthened as a disaster countermeasure mode. If the beer index is high or the temperature and humidity are similar to those in tropical countries, If the ventilation device 2 is set to a specific mode (ventilation conditions that make the beer taste delicious or give you a tropical feel), if the useful life of the ventilation device 2 has exceeded, or if you are eligible for a subsidy, you can replace the ventilation device 2. If the effectiveness of the ventilation device 2 has decreased by 30% and the installation work is not yet busy, a failure alert for the ventilation device 2 may be notified.
  • the outdoor sensor information D415 when the outdoor temperature reaches 25°C or higher, the air volume by the ventilation device 2 is reduced and the air-conditioning system is set to cooling, and if the outdoor temperature is 18°C or lower, the ventilation device 2 is turned on. Increasing the air volume by the ventilation system 2 and setting the air conditioner to heating mode. If the indoor comfort level exceeds the outdoor comfort level (outdoor comfort level), increase the air volume by the ventilation system 2.Even if the outdoor humidity is 60% or higher, For example, while lowering the set temperature of the air-conditioning device, the ventilation device 2 may be turned off.
  • indoor temperature, indoor humidity, carbon dioxide concentration, etc. are obtained in a time series, and based on the frequency or time when the reference value is exceeded within 24 hours.
  • the degree of ventilation to be adjusted in the ventilation system 2 may be set based on the ventilation level, or the determination may be made based on whether the average value or maximum value of the acquired information for 24 hours exceeds a reference value. There may be. In such a case, you may select the one with the highest average value among indoor temperature, indoor humidity, carbon dioxide concentration, etc. and compare the average value with the standard value, or A desired weighting may be applied and this may be compared with a reference value.
  • the determining means 38 determines whether the various information D41 acquired in the information acquisition step S160 conforms to such control condition D9. For example, if the control condition D9 is "If the concentration of CO2 is less than 600 ppm, turn off the ventilation device 2", it is determined whether the detected concentration of CO2 is less than 600 ppm. As a result, if the control condition D9 is met, the ventilation control device 3 is caused to output the control information D33 so that the operation included in the specific operation information D32 linked to the control condition D9 is executed. On the other hand, if the control condition D9 is not met, no particular new information is output to the ventilation control device 3.
  • the information acquisition means 41 acquires, for example, indoor temperature, indoor humidity, carbon dioxide concentration, etc. in time series, and calculates the average value for 24 hours every hour. For example, the determining means 38 determines that there is an abnormality if even one of the average values acquired by the information acquiring means 41 exceeds a threshold value. In such a case, based on the control condition D9, the ventilation control device 3 is caused to output the control information D33 corresponding to the operation information D32 that “starts” the ventilation device 2, or Control information D33 corresponding to the operation information D32 "Increase by one level" is output.
  • the wireless communication control unit 410 may always take in the information acquired by the information acquisition means 41.
  • the various information D41 to be captured in this wireless communication control unit 410 may be raw data that has not been calibrated, data that has been calibrated, or a combination of raw data and calibrated data. It may be both data.
  • the wireless communication control unit 410 transmits this acquired data to the data server 9.
  • the data server 9 sequentially stores this acquired data. Acquired data is sequentially sent to this data server 9 from wireless communication control units 410 provided at various other locations, and is sequentially stored. As a result, the data server 9 collects acquired data acquired from the information acquisition means 41 at various locations via the wireless communication control unit 410.
  • This data server 9 can be accessed from the management setting means 42 side via the public communication network 4a.
  • the management setting means 42 statistically organizes and tabulates the acquired information recorded in the data server 9 as necessary, and then makes it visible on the user interface. The statistical arrangement and aggregation of this acquired information may be performed for each individual wireless communication control unit 410, or may be aggregated for a plurality of wireless communication control units 410 at once.
  • the management setting means 42 displays the aggregated results of the acquired data on the user interface.
  • the display screen on this user interface may display each obtained value in chronological order, for example.
  • the administrator visually checks the total result of the measurement data and determines that there is an abnormality, he or she can manually issue a command to change the control condition D9.
  • the administrator will decide based on his own experience whether the control condition D9 should be left unchanged or whether the control condition D9 itself should be changed.
  • the result of the administrator's determination will be reflected in the control condition D9.
  • the administrator may decide by his or her own judgment what control condition D9 should be used, or the management setting means 42 may automatically decide.
  • a template may be created in advance in which the control condition D9 is linked according to the frequency of determination that the control condition D9 should be changed, and the control condition D9 may be specified based on the template. .
  • the control condition D9 may be changed or updated automatically on the management setting means 42 side.
  • a method for changing the control condition D9 for example, if any one or more of the acquired data among indoor information D411, external information D412, performance information D413, indoor sensor information D414, and outdoor sensor information D415 exceeds the reference value.
  • a template is prepared in which one or more of the determination results of indoor comfort, energy saving, presence of malfunction, heat stroke risk, infectious disease risk, etc. are associated with frequency or time. Then, on the management setting means 42 side, the frequency or time when the newly acquired data exceeds the reference value is specified, and the indoor comfort, energy saving, failure, etc. associated with the specified frequency or time are determined.
  • the management setting means 42 side it is possible to automatically determine one or more of indoor comfort, energy saving, presence of failure, heat stroke risk, infectious disease risk, etc. from the acquired data each time.
  • the presence or absence of a failure if the value is significantly outside the range of control condition D9, it can be determined that there is a possibility that a failure has occurred.
  • any one or more of these factors such as indoor comfort, energy saving, malfunction, risk of heat stroke, risk of infectious disease, etc., and specific control conditions D9 are linked and prepared in advance as a template.
  • An example of this template is if indoor comfort is ranked second from the top on a five-point scale, energy saving is ranked first from the bottom on a five-point scale, and heat stroke risk is ranked third from the top on a five-stage scale.
  • Control condition D9 "If the time-series rate of increase in indoor temperature is 0.3°C/min and the rate of increase in odor level exceeds 30/min, the ventilation system 2 is immediately turned on.” For example, changes such as lowering the "temperature increase rate of indoor temperature over time” from 0.3°C/min to 0.2°C/min.
  • a control condition D9 has been set in advance, in which, for example, when the carbon dioxide concentration exceeds 1000 ppm, the ventilation by the ventilation device 2 is strengthened.
  • the actual carbon dioxide concentration never exceeds 700 ppm in 24 hours, and only exceeds 600 ppm several times.
  • the indoor carbon dioxide concentration is stable at a low level, and the people inside are accustomed to that environment, so if the carbon dioxide concentration exceeds 900 ppm, some people may feel uncomfortable.
  • the control condition may be changed to D9, in which ventilation by the ventilation device 2 is strengthened when the carbon dioxide concentration exceeds 900 ppm.
  • the changes in the control condition D9 can be directly applied to each acquired data such as indoor information D411, external information D412, performance information D413, indoor sensor information D414, and outdoor sensor information D415. If newly acquired information is detected, it may be read out to directly derive the control condition D9 to be changed.
  • control condition D9 recorded in the data server 9 is updated via the public communication network 4a.
  • the control condition D9 may be updated for each wireless communication control unit 410, or the common control condition D9 may be updated for a plurality of wireless communication control units 410.
  • the wireless communication control unit 410 acquires the control condition D9 updated on this data server 9 via the public communication network 4a, and transmits it to the ventilation control device 3.
  • the ventilation control device 3 can make the above-described determination based on the updated control condition D9.
  • the ventilation control system 1 is not limited to setting, changing, and updating the control condition D9 in the management setting means 42 based on the method described above.
  • artificial intelligence may be used to automatically perform the determination.
  • artificial intelligence may be used to automatically make the determination.
  • artificial intelligence is implemented in the data server 9. That is, the data stored in this data server 9 is made to learn via this artificial intelligence.
  • the artificial intelligence of the ventilation control system acquires data included in various information D41 (indoor information D411, external information D412, performance information D413, indoor sensor information D414, and outdoor sensor information D415).
  • a judgment model 84 is generated by artificial intelligence in the same manner as the above-mentioned learning models 81 and 82 (apparatus information model 81, control information model 82) using the degree of ventilation necessity D38 for (etc.) as teacher data (learning data).
  • the degree of ventilation necessity D38 may be specifically expressed by any one or more of the above-mentioned indoor comfort, energy saving, presence or absence of malfunction, risk of heat stroke, possibility of risk of infectious disease, etc. .
  • the neural network in the center receives various information D41 as input, and outputs the degree of necessity of ventilation D38 as the determination result.
  • the management setting means 42 uses the judgment model 84 which uses the degree of necessity D38 for the various information D41 as training data, and uses the degree of necessity D38 outputted from the determination model 84 when the newly acquired various information D41 is input.
  • the control condition D9 may be set accordingly. In this case, even if the degree of necessity D38 of controlling the ventilation device 2 according to the various information D41 is unknown, the degree of necessity D38 can be determined more accurately. Thereby, the convenience of the ventilation device 2 can be further improved.
  • the external information D412 acquired by the external information acquisition means 412 of the information acquisition means 41 may be directly or related to the control of the ventilation device 2 obtained via the public communication network 4a such as the Internet. Since the data information includes weather forecasts and other news, it is easier to process using artificial intelligence. In such a case, when the artificial intelligence that is a substitute for the management setting means 42 receives input of text data, it can identify the external information D412 by analyzing the natural language. When artificial intelligence makes the determination, external information D412 is input, and the degree of necessity D38 of controlling the ventilation device 2 can be determined based on the determination result as an output. Note that the external information D412 can be obtained not only from the Internet, but also from television, radio, and the like.
  • D412 can be specified.
  • radio there is software that can convert audio information into text information and convert it into text data, so when the text data is input, it performs natural language analysis, extracts keywords, and identifies external information D412. can do. Note that if the external information D412 is digitized in advance for each risk determination and linked to the control of the corresponding ventilation device 2, the management setting means 42 can also handle the risk determination.
  • the external information D412 may include the subsidy for the ventilation system 2, price information for the ventilation system 2, ventilation information, etc. on the user's smartphone, etc.
  • the necessity level D38 of controlling the ventilation device 2 is determined as an output that is a judgment result, and as an accompanying service, information on advantageous prices for maintenance and replacement, and the It is possible to send advantageous information such as inventory information, coupon issuance, and conditions for receiving subsidies, and it is also possible to send recommended alerts for maintenance or replacement of the ventilation device 2 to the user's smartphone or the like.
  • the degree of necessity D38 of the control of the ventilation system 2 is determined, and as an accompanying service, comparison information with other contract plans of the company and other companies can be sent.
  • the degree of necessity for controlling the ventilation device 2 D38 will be determined as an output that is the determination result.
  • the user's smartphone or the like can be notified.
  • external information D412 includes weather forecasts such as sunny, cloudy, rain, snow, and hail, sensible temperature index, heat shock forecast, heat stroke information, probability of precipitation, information regarding pollen, yellow dust, smog, PM2.5, etc.
  • weather forecasts such as sunny, cloudy, rain, snow, and hail
  • sensible temperature index such as sunny, cloudy, rain, snow, and hail
  • heat shock forecast such as heat stroke information
  • probability of precipitation information regarding pollen, yellow dust, smog, PM2.5, etc.
  • the degree of necessity D38 of controlling the ventilation system 2 corresponding to that is determined as an output that is a determination result, and as an accompanying service. It is also possible to have the user's smartphone or the like notify an alert or the like. In addition, when the external information D412 indicates that the location is located in an area where coronavirus infection is spreading, etc., the degree of necessity for controlling the ventilation system 2 corresponding to that D38 is determined as an output that is the determination result. As an accompanying service, it is also possible to have the user's smartphone or the like receive notifications of warnings, etc.
  • the ventilation system The necessity degree D38 of the second control is determined.
  • the indoor information D411 including the address of the building structure, the installation position and number of indoor ventilation devices 2, the indoor size, the height of the indoor ceiling, the maximum number of people, etc., obtained from the indoor information acquisition means 411 is , especially in combination with other acquired information such as external information D412.
  • the indoor information D411 basically does not change in many cases, so it may be recorded in advance in the data server 9 or the like.
  • external information D412 information indicating that there is a possibility that strong winds and rain due to a typhoon or the like may hit the installation position of the ventilation system 2 is input, and as indoor information D411, the installation position of the ventilation system 2 is input.
  • the positions are also input, and based on these combinations, the degree of necessity D38 of controlling the ventilation device 2 corresponding to them is determined as an output that is a determination result.
  • performance information D413 such as past performance values of electricity usage, past various control conditions, past inputs, etc. acquired from performance information acquisition means 413 is also useful especially in combination with other acquired information such as external information D412. It is often used for Note that since the performance information D413 is past information, it may be sent to the data server 9 or the like via the public communication network 4a and recorded in advance. For example, if the external information D412 is inputted as the case where the abnormal situation mentioned above occurred in the past, and the performance information D413 is inputted as how well the control method was used to clear the problem, etc. As the resulting output, the degree of necessity D38 of controlling the ventilation device 2 corresponding thereto is determined.
  • the above-described determination model 84 may be one in which the previously acquired data and the degree of necessity D38 of controlling the ventilation system 2 specifically determined by the administrator at that time are trained as a learning data set. good.
  • the degree of necessity D38 of the ventilation device 2 is determined as an output that is a determination result.
  • the ventilation control system 1 can obtain control of the ventilation device 2 to be changed, which is linked to this, in the same manner as described above.
  • the sensible temperature etc. differs from person to person, if there are multiple people in the room, opinions may be collected from each individual using a smartphone, etc., and these may be averaged and reflected in the control condition D9.
  • the ventilation control system 1 As configured as above, according to the ventilation control system 1 described above, it is possible to provide a ventilation control system 1 that takes into account not only the indoor comfort of a building structure but also high safety.
  • this ventilation control system 1 it is possible to provide comfort tailored to each user, and with regard to risk management, for example, if the user does not have hay fever, pollen countermeasures are not included in the risk control conditions. It can also be implemented by setting D9.
  • the operation of the temperature adjustment control system for example, similarly to the operation of the ventilation control system 1, further includes the above-mentioned information acquisition step S160 and determination step S170.
  • the information acquisition means 41 of the temperature adjustment control device acquires various information D41 including, for example, indoor information D411, external information D412, performance information D413, indoor sensor information D414, outdoor sensor information D415, etc.
  • the various information D41 acquired in the information acquisition step S160 may be calibrated with reference to the calibration conditions. That is, the information acquisition means 41 of the temperature adjustment control device refers to preset calibration conditions and calibrates the acquired various information D41. In this case, it is possible to more accurately determine the degree of necessity D38 of controlling the temperature adjustment device according to the various information D41. Thereby, the convenience of the temperature control device can be further improved.
  • the determination means 38 of the temperature adjustment control device determines the degree of necessity D38 of controlling the temperature adjustment device based on the control condition D9.
  • the determination means 38 of the temperature adjustment device determines the degree of necessity D38 of controlling the temperature adjustment device based on, for example, various information D41 and control conditions D9.
  • the determining means 38 determines the degree of necessity D38 of controlling the temperature adjustment device based on, for example, the indoor comfort level based on the indoor information D411, the outdoor comfort level based on the external information D412, and the control condition D9.
  • the determination means 38 transmits the determination result (degree of necessity D38) to the temperature adjustment control device if it is distinguished from the temperature adjustment control device.
  • the temperature adjustment control device may output control information D33 for controlling the temperature adjustment device based on the determination result by the determination means 38.
  • the management setting means 42 of the temperature adjustment control device uses a judgment model 84 that uses the degree of necessity D38 for the various information D41 as training data, and determines the output from the judgment model 84 when the newly acquired various information D41 is input.
  • the control condition D9 may be set depending on the degree of necessity D38. In this case, even if the degree of necessity D38 of controlling the temperature adjustment device according to the various information D41 is unknown, the degree of necessity D38 can be determined more accurately. Thereby, the convenience of the temperature control device can be further improved.
  • the ventilation control device 3 provides various information D41 including at least one of the acquired indoor information D411, external information D412, performance information D413, indoor sensor information D414, and outdoor sensor information D415. and the set control condition D9, the setting means 34 further includes a determination means 38 that determines the degree of necessity D38 of controlling the ventilator 2 based on the degree of necessity D38 determined by the determination means 38.
  • the control information D33 set by is output to the ventilation device 2. For this reason, it is possible to automate the determination of the degree of necessity D38 and the control of the device according to the acquired various information D41. Thereby, the convenience of the ventilation device 2 can be further improved.
  • the management setting means 42 sets the control conditions D9 based on the various information D41 acquired by the information acquisition means 41. Therefore, it is possible to automate the setting of the control conditions D9 according to the acquired various information D41. Thereby, the convenience of the ventilation device 2 can be further improved.
  • the management setting means 42 uses the judgment model 84 that uses the degree of necessity D38 for the various information D41 as training data, and uses the judgment model 84 when the newly acquired various information D41 is input.
  • Control conditions D9 are set according to the output necessity level D38. Therefore, even if the degree of necessity D38 of controlling the ventilator 2 according to the various information D41 is unknown, the degree of necessity D38 can be determined more accurately. Thereby, the convenience of the ventilation device 2 can be further improved.
  • the information acquisition means 41 refers to preset calibration conditions and performs calibration on the acquired various information D41. Therefore, it is possible to more accurately determine the degree of necessity D38 of controlling the ventilator 2 according to the various information D41. Thereby, the convenience of the ventilation device 2 can be further improved.
  • Ventilation control system Ventilator 200 Ventilator operation unit 3 Ventilation control device 30 Housing 301 CPU 302 ROM 303 RAM 304 Storage section 305 I/F 306 I/F 307 I/F 308 Input section 309 Display section 310 Internal bus 31 Communication means 32 Storage means 33 Device information specifying means 34 Setting means 35 Learning data acquisition means 36 Device information model generation means 37 Control information model generation means 38 Judgment means 4 Wireless communication network 4a Public communication Network 41 Information acquisition means 410 Radio communication control unit 411 Indoor information acquisition means 412 External information acquisition means 413 Performance information acquisition means 414 Indoor sensor information acquisition means 415 Outdoor sensor information acquisition means 42 Management setting means 61 First database 62 Second database 81 Device information model 82 Control information model 83 Control condition model 84 Judgment model 9 Data server 91 Communication means 92 Storage means S110 Device information specification step S120 Setting step S130 Learning data acquisition step S140 Device information model generation step S150 Control information model generation step S160 Information Acquisition step S170 Judgment step D31 Device information D32 Operation information D33 Control

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Abstract

La présente invention aborde le problème de la fourniture d'un système de commande de ventilation et d'un système de réglage/régulation de température qui permettent l'amélioration de la commodité d'un dispositif de ventilation et d'un dispositif de réglage de température qui effectuent un réglage de ventilation et de température, respectivement, dans un intérieur de pièce dans une structure de bâtiment.　Un système de commande de ventilation (1) selon la présente invention est pourvu de : un dispositif de ventilation existant (2) ; une unité de fonctionnement de dispositif de ventilation existante (200) qui délivre en sortie des informations de commande pour le dispositif de ventilation (2) ; et un dispositif de commande de ventilation (3) qui est nouvellement installé entre le dispositif de ventilation (2) et l'unité de fonctionnement de dispositif de ventilation (200). Le dispositif de commande de ventilation (3) est pourvu : d'un moyen d'identification d'informations de dispositif pour identifier, en référence à une première base de données dans laquelle des informations de commande de référence et des informations de dispositif de référence sont stockées en association les unes avec les autres à l'avance, des informations de dispositif correspondant aux informations de commande obtenues à partir de l'unité d'actionnement de dispositif de ventilation (200) ; et un moyen de réglage pour, en référence à une deuxième base de données dans laquelle des informations de fonctionnement de référence et des informations de commande de référence sont stockées en association avec des informations de dispositif respectives à l'avance, obtenir des informations de fonctionnement et des informations de commande, qui correspondent aux informations de dispositif identifiées par le moyen d'identification d'informations de dispositif, et régler celles-ci pour le dispositif de commande de ventilation (3).
PCT/JP2023/029611 2022-08-25 2023-08-16 Système de commande de ventilation, dispositif de commande de ventilation, programme de commande de ventilation, système de réglage/régulation de température, dispositif de réglage/régulation de température et programme de réglage/régulation de température WO2024043156A1 (fr)

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JP2015017718A (ja) * 2013-07-09 2015-01-29 日立アプライアンス株式会社 空調システム、空調システムの制御装置及び空調システムの制御方法
JP2018071853A (ja) * 2016-10-27 2018-05-10 インフォグリーン株式会社 学習装置、制御装置、学習方法、制御方法、学習プログラムおよび制御プログラム
JP7244148B1 (ja) * 2022-08-25 2023-03-22 ｃｙｎａｐｓ株式会社 換気制御システム、換気制御装置、及び換気制御プログラム

Patent Citations (3)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
JP2015017718A (ja) * 2013-07-09 2015-01-29 日立アプライアンス株式会社 空調システム、空調システムの制御装置及び空調システムの制御方法
JP2018071853A (ja) * 2016-10-27 2018-05-10 インフォグリーン株式会社 学習装置、制御装置、学習方法、制御方法、学習プログラムおよび制御プログラム
JP7244148B1 (ja) * 2022-08-25 2023-03-22 ｃｙｎａｐｓ株式会社 換気制御システム、換気制御装置、及び換気制御プログラム

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