JP7244148B1 - Ventilation control system, ventilation control device, and ventilation control program - Google Patents

Abstract

A ventilation control system, a ventilation control device, and a ventilation control program are provided in which convenience of a ventilation device for ventilating a room of a building structure is improved. A ventilation control system (1) includes an existing ventilation device (2), an existing ventilation device operation unit (200) that outputs control information for controlling the ventilation device (2), and the ventilation device (2) and the ventilation device operation unit (200). The ventilation control device 3 is newly installed between the ventilation control device 3 and the reference control information and the reference device information, and after referring to the first database in which the reference control information and the reference device information are linked in advance and stored The device information specifying means for specifying device information corresponding to the control information acquired from the ventilator operation unit 200, the reference operation information, and the reference control information are linked in advance for each device information and stored. a setting means for acquiring operation information and control information corresponding to the device information specified by the device information specifying means after referring to the second database, and setting the ventilation control device 3 with the operation information and the control information. [Selection drawing] Fig. 1

Description

The present invention relates to a ventilation control system, a ventilation control device, and a ventilation control program for controlling a ventilation device that ventilates a room of a building structure.

In recent years, control programs for operating via communication devices such as smartphones have been developed as means for operating air conditioners in building structures. For example, Patent Literature 1 discloses a device control system that controls a device to be controlled such as an air conditioner using a control program downloaded by a remote terminal connectable to a communication network.

JP 2004-289505 A

However, when controlling a ventilator using the technology disclosed in Patent Document 1, the ventilator needs to be constantly connected to the communication network in order to receive various requests via the communication network. Therefore, for example, a ventilation device that is already installed in a building and is not compatible with remote terminal connection cannot be controlled. In addition, if different control programs are used depending on the type of ventilator (exhaust fan, damper, air conditioner, etc.), it is necessary to prepare a plurality of control programs, which may make management complicated.

SUMMARY OF THE INVENTION Accordingly, the present invention has been devised in view of the above-described problems, and an object of the present invention is to provide a ventilation control system that improves the convenience of a ventilation device for ventilating the interior of a building structure. , a ventilation control device, and a ventilation control program.

According to the ventilation control system in the first invention, an existing ventilator for ventilating a room, an existing ventilator operation unit for outputting control information for controlling the ventilator, the ventilator, and the ventilator a ventilation control device newly installed between the operating unit and the ventilation control device, wherein 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. and a device information specifying means for specifying device information corresponding to the control information acquired from the ventilator operation unit after referring to a first database stored in advance with , and indicating the operation content of the ventilator. Reference operation information including operation information and reference control information including control information of the ventilator are referenced in a second database in which the apparatus information of the ventilator is associated with each other in advance, and the apparatus is 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 information for the ventilation control device.

According to the ventilation control system of the second invention, in the first invention, the device information specifying means sets the input data including the control information for reference and the output data including the device information for reference as a set. Using the data set as learning data, referring to the device information model generated by machine learning and pre-stored in the first database, device information corresponding to the control information acquired from the ventilation device operation unit is specified. characterized by

According to the ventilation control system of the third invention, in the first invention or the second invention, the setting means combines the input data including the reference operation information and the output data including the reference control information as a set. Operation information corresponding to the device information specified by the device information specifying means after referring to the control information model generated by machine learning using the data set as learning data and stored in advance in the second database and control information corresponding to the operation information.

According to the ventilation control system in the fourth invention, in the second invention, the control information acquired from the ventilation device operation unit is reproduced and generated, and out of the reproduction control information output to the ventilation device, the ventilation device learning data acquisition means for acquiring learning data including reproduction control information capable of control corresponding to the operation information of and device information of the ventilation device; and based on the learning data acquired by the learning data acquisition means, and a device information model generating means for generating the device information model by machine learning.

According to the ventilation control system in the fifth invention, in the third invention, the control information acquired from the ventilation device operation unit is reproduced and generated, and out of the reproduction control information output to the ventilation device, the ventilation device learning data acquisition means for acquiring learning data including reproduction control information capable of control corresponding to the operation information and the operation information, and machine learning based on the learning data acquired by the learning data acquisition means and a control information model generating means for generating the control information model.

According to the ventilation control device of the sixth invention, it is newly installed between an existing ventilation device that ventilates the room and an existing ventilation device operation unit that outputs control information for controlling the ventilation device. in the ventilation control device, referring to a first database in which reference control information including control information of the ventilation device and reference device information including device information of the ventilation device are linked in advance and stored; 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 the operation details of the ventilation device, and reference use including control information of the ventilation device Operation information and control information according to the device information specified by the device information specifying means after referring to a second database in which the control information and the control information are linked in advance for each device information of the ventilation device and stored. and setting means for acquiring from the second database and setting the acquired operation information and the control information for the ventilation control device.

According to the ventilation control program in the seventh invention, an existing ventilator for ventilating a room, an existing ventilator operation unit for outputting control information for controlling the ventilator, the ventilator, and the ventilator A ventilation control device newly installed between the operation unit and a ventilation control program for controlling a ventilation control system comprising reference control information including control information of the ventilation device and reference including device information of the ventilation device A device information specifying step of specifying device information corresponding to the control information acquired from the ventilator operation unit after referring to a first database stored in advance with device information; Reference operation information including operation information indicating operation details and reference control information including control information of the ventilator refer to a second database in which the apparatus information of the ventilator is linked in advance and stored. the operation information and the control information corresponding to the device information specified by the device information specifying step are acquired from the second database , and the acquired operation information and the control information are transmitted to the ventilation control device. and a setting step for setting, and causing a computer to execute.

According to the first to fifth inventions, the ventilation control system includes device information specifying means for specifying device information corresponding to control information acquired from the ventilator operation unit, and device information specified by the device information specifying means. setting means for acquiring the operation information and control information obtained from the second database and setting the acquired operation information and control information for the ventilation control device. Therefore, the ventilator can be controlled regardless of the type, manufacturer, model number, etc. of the ventilator. As a result, it is possible to improve the convenience of the ventilator.

In particular, according to the second invention, the device information specifying means uses a data set, which is a set of input data including reference control information and output data including reference device information, as learning data to After referring to the device information model generated by learning, the device information corresponding to the control information acquired from the ventilator operating unit is specified. Therefore, it is possible to improve the accuracy of specifying the device information of the ventilation device. This makes it possible to further improve the convenience of the ventilator.

In particular, according to the third aspect, the setting means uses, as learning data, a set of input data including the reference operation information and output data including the reference control information, and performs machine learning. After referring to the generated control information model, operation information corresponding 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 of the ventilator is unknown, new control information can be generated. As a result, it is possible to improve the convenience of various ventilators.

In particular, according to the fourth invention, the ventilation control system reproduces the control information acquired from the ventilator operation unit, and out of the reproduced control information output to the ventilator, the control corresponding to the operation information of the ventilator. learning data acquisition means for acquiring learning data including reproduction control information capable of reproducing and device information of the ventilation device; and generating a device information model by machine learning based on the learning data acquired by the learning data acquisition means and a device information model generation means for generating the model. That is, it is possible to generate a learning model corresponding to a ventilator for which learning data cannot be arranged. Therefore, it is possible to specify the device information of various ventilators. As a result, it is possible to improve the convenience of various ventilators.

In particular, according to the fifth invention, the ventilation control system reproduces the control information acquired from the ventilator operation unit, and out of the reproduction control information output to the ventilator, the control corresponding to the operation information of the ventilator. learning data acquisition means for acquiring learning data including the reproduction control information 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. and model generation means. That is, it is possible to generate a learning model corresponding to a ventilator for which learning data cannot be arranged. Therefore, even if the control information of the ventilator is unknown, more accurate control information can be newly generated. As a result, it is possible to improve the convenience of a wider variety of ventilators.

According to the sixth invention, the ventilation control device includes device information specifying means for specifying device information corresponding to the control information acquired from the ventilation device operation section, and operation information corresponding to the device information specified by the device information specifying means. and setting means for acquiring control information from a second database and setting the acquired operation information and control information for the ventilation control device. Therefore, the ventilator can be controlled regardless of the type, manufacturer, model number, etc. of the ventilator. As a result, it is possible to improve the convenience of the ventilator.

According to the seventh invention, the ventilation control program includes a device information specifying step of specifying device information corresponding to the control information acquired from the ventilation device operation unit, and operation information corresponding to the device information specified by the device information specifying means. a setting step of acquiring control information from the second database and setting the acquired operation information and control information to the ventilation control device. Therefore, the ventilator can be controlled regardless of the type, manufacturer, model number, etc. of the ventilator. As a result, it is possible to provide a ventilator with improved convenience.

FIG. 1 is a schematic diagram showing an example of a ventilation control system according to the first embodiment of the present invention. FIG. 2 is a schematic diagram showing an example of a connection method of 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 according to 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 according to the first embodiment of the present invention, and FIG. 4(b) is a detailed illustration of the ventilation control device according to the first embodiment of the present invention. It is a schematic diagram which shows an example of a structure. FIG. 5 is a schematic diagram showing a modification of the ventilation control system according to the first embodiment of the present invention. FIG. 6 is a flow chart showing an example of the operation of the ventilation control system according to 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) and 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) and 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. 10(a) to 10(c) are schematic diagrams showing an example of the second database related to the ventilation control system according to the first embodiment of the present invention. FIGS. 11(a) and 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 the detailed configuration of the ventilation control device according to the second embodiment of the present invention. FIG. 13 is a flow chart showing an example of the operation of the ventilation control system according to the second embodiment of the invention. FIG. 14 is a schematic diagram showing an example of a learning method of 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 the detailed configuration of the ventilation control device according to the third embodiment of the present invention. FIG. 16 is a flow chart showing an example of the operation of the ventilation control system according to the third embodiment of the invention. FIG. 17 is a schematic diagram showing an example of a learning method of a learning model related to the 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 the ventilation control system according to the fourth embodiment of the present invention. FIG. 19 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.

DESCRIPTION OF THE PREFERRED EMBODIMENTS Embodiments exemplified by applying the present invention will be described below with reference to the drawings.

(First Embodiment: Ventilation Control System 1)
An example of a ventilation control system 1 according to the present embodiment will be described with reference to FIGS. 1 to 5. FIG. FIG. 1 is a schematic diagram showing an example of a ventilation control system 1 according to 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 operation unit 200, and a ventilation control device 3, as shown in FIG.

<Ventilator 2>
The ventilation device 2 is an existing device for ventilating the room. The ventilator 2 is installed in a wired connection with the operation unit. As the ventilating device 2, for example, a ventilating fan without a temperature control function can be used. As the ventilation device 2, for example, an air conditioner having a temperature control function may be used. Here, a wired connection refers to a connection method for communication using a linear transmission line, and is used in the same sense below. As means for wired connection, for example, a known circuit connection cable is used.

<<ventilator operation unit 200>>
The ventilator operation unit 200 is an existing operation unit that outputs control information for controlling the ventilator 2 . The ventilator operation unit 200 is wired to the ventilator 2 . The ventilator operation unit 200 is an operation panel for operating the ventilator 2, for example.

<Ventilation control device 3>
The ventilation control device 3 is newly installed between the existing ventilation device 2 and the existing ventilation device operation unit 200 . Here, "between the existing ventilator 2 and the existing ventilator operation unit 200" refers to the physical arrangement relationship between the ventilation control device 3, the ventilator 2, and the ventilator operation unit 200. It does not mean that the ventilator 2 and the ventilator operation unit 200 are connected by wire via the ventilation control device 3 . The ventilation control device 3 is wire-connected to the ventilation device 2 so as to be able to transmit and receive each information. The ventilation control device 3 is wire-connected to the ventilation device operation unit 200 so as to be able to transmit and receive various information.

In the ventilation control device 3, for example, as shown in FIG. N) and the negative terminal (N) of the ventilator 2 are wired to be connected to the ventilator 2 . In the ventilation control device 3, for example, the positive terminal (P) of the ventilation control device 3 and the positive terminal (P) of the ventilation device operation unit 200 are connected by wire, and the negative terminal (N) of the ventilation control device 3 and the ventilation Wired connection with the negative terminal (N) of the device operating unit 200 results in wired connection with the ventilator operating unit 200 .

For example, the ventilation control device 3 arbitrarily processes and uses an existing transmission line that connects the existing ventilation device 2 and the existing ventilation device operation unit 200 by wire, so that the existing ventilation device 2 and the existing ventilation It may be connected to the device operation unit 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 unit 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 wired to the ventilation device 2 having an indoor unit 21 and an outdoor unit 22, as shown in FIG. 3, for example. In this case, the positive terminal (P) of the ventilation control device 3 may be wire-connected 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. Further, 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.

As the ventilation control device 3, for example, a known single board computer such as Raspberry Pi (registered trademark) is used. The ventilation control device 3 includes, for example, as shown in FIG. F305-307. Each configuration 301 - 307 is connected by an internal bus 310 .

The CPU 301 controls the ventilation control device 3 as a whole. The ROM 302 stores operation codes for the CPU 301 . A RAM 303 is a work area used when the CPU 301 operates. A storage unit 304 stores various information such as databases and learning data. As the storage unit 304, for example, 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 have, for example, a GPU (Graphics Processing Unit) not shown.

For the ventilation control device 3, for example, an external storage medium that is distinguished from the ventilation control device 3 may be used instead of the storage unit 304, or may be used together with the storage unit 304. Here, the external storage medium may be, for example, a known personal computer or the like, which 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 configured by a so-called optical fiber communication network, and may be implemented by a known communication technology such as a wired communication network or a wireless communication network such as LTE (Long Term Evolution).

The I/F 305 is an interface for transmitting/receiving various types of information to/from the ventilator 2 or the ventilator operation unit 200 or the like as necessary. An I/F 306 is an interface for transmitting and receiving information to and from the input unit 308 . A keyboard, for example, is used as the input unit 308 , and the operator inputs various information control commands and the like via the input unit 308 . An I/F 307 is an interface for transmitting and receiving various information to and from the display unit 309 . A display unit 309 displays various information saved in the storage unit 304, evaluation results, and the like. A display is used as the display unit 309 , and is provided integrally with the input unit 308 in the case of a touch panel type, for example.

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. In this case, terminal 311 may be used as input unit 308 and display unit 309 . As the terminal 311, for example, a known tablet terminal, smart phone, or the like is used.

Next, the detailed configuration of the ventilation control device 3 will be described in detail.

FIG. 4B is a schematic diagram showing an example of the detailed configuration of the ventilation control device 3. As shown in FIG. The ventilation control device 3 includes communication means 31, storage means 32, device information specifying means 33, and setting means 34, for example. 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.

<<communication means 31>>
The communication means 31 receives information transmitted from the ventilator operation unit 200, for example. The communication means 31 receives, for example, control information for controlling the ventilator 2 from the ventilator operation section 200 .

The communication means 31 transmits information to the ventilator 2, for example. The communication means 31 transmits, for example, control information for controlling the ventilation device 2 to the ventilation device 2 .

The communication means 31 may transmit the received, transmitted, or generated information to an external storage medium, for example, in order to store the information in an external storage medium that is distinguished from the ventilation control device 3. .

<<storage means 32>>
The storage unit 32 stores, for example, the information received by the communication unit 31 in the database stored in the storage unit 304 . The storage unit 32 retrieves various data stored in the database stored in the storage unit 304, for example, as necessary. The storage unit 32 stores various data acquired or generated by each of the components 31, 33, and 34 in the database stored in the storage unit 304 as necessary.

<<Device Information Identification Means 33>>
The device information specifying means 33 specifies device information corresponding to control information for controlling the ventilation device 2 . Here, the device information includes, for example, information on the type of ventilation device (ventilator, air conditioner, etc.), manufacturer information, model number information, and the like. The device information identifying means 33 identifies device information corresponding to control information for controlling the ventilation device 2, for example, after referring to a database stored in the storage unit 304. FIG. The device information specifying means 33 may specify the device information corresponding to the control information for controlling the ventilation device 2, for example, after referring to a database stored in an external storage medium.

<<Setting Means 34>>
The setting means 34 acquires operation information and control information corresponding to the device information of the ventilation device 2 specified by the device information specifying means 33, and sets them to the ventilation control device 3. Here, the operation information is , is information indicating the details of operation of the ventilator, and includes "start", "increase the air blow rate by one level", and the like. The setting means 34 acquires the operation information and the control information corresponding to the device information specified by the device information specifying means 33 after referring to the database stored in the storage section 304, for example. The setting unit 34 may refer to a database stored in an external storage medium, for example, and acquire operation information and control information corresponding to the device information specified by the device information specifying unit 33 .

(First embodiment: an example of the operation of the ventilation control system 1)
Next, an example of the operation of the ventilation control system 1 in this embodiment will be described with reference to FIGS. 6 to 11. FIG. FIG. 6 is a flow chart 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) and 8(b) are schematic diagrams showing an example of a database related to the ventilation control system 1 in this embodiment. FIGS. 9(a) and 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) and 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 via a ventilation control program installed in the ventilation control device 3, for example. The operation of the ventilation control system 1 includes, for example, device information specifying step S110 and setting step S120, as shown in FIG.

<Device information specifying step S110>
In the device information specifying step S110, the ventilation control device 3 acquires the control information D33' included in the control information D33 from the ventilation device operation section 200. FIG. In the device information specifying step S110 , the device information specifying means 33 refers to the first database 61 and specifies the device information D31 corresponding to the control information D33 acquired by the ventilation control device 3 from the ventilation device operation section 200 . In the device information specifying step S110, the ventilation control system 1 may acquire the operation information D32 of the ventilation device 2 together with the device information D31, for example.

<<Device Information D31>>
The device information D31 includes information on the device of the ventilator 2 . The device information D31 includes, for example, type information (ventilator, air conditioner, etc.), manufacturer information, model number information, etc. of the ventilation device 2, as shown in FIG.

<<Operation Information D32>>
The operation information D<b>32 includes information indicating the details of the operation of the ventilator 2 . The operation information D31 includes, for example, information indicating the operation content such as "activate" the ventilator 2 or "increase the blowing volume by one level". In the present embodiment, the operation information D32 acquired by various devices is not limited to the form of acquiring all information indicating the operation content of the ventilation device 2, and indicates the operation content of the ventilation device 2 as necessary. It includes forms in which at least some of the information is obtained.

<<Control Information D33>>
The control information D33 includes information for controlling the ventilator 2. FIG. The control information D33 includes signal information for controlling the ventilator 2, for example. In the present embodiment, among the control information D33, the control information D33 acquired by the ventilation control device 3 from the ventilation device operation unit 200 will be described as the control information D33'. The control information D33' is included in the control information D33 and is the same type of information as the control information D33. Further, in the present embodiment, the control information D33 acquired by various devices is not limited to the form of acquiring all information for controlling the ventilation device 2, and the ventilation device 2 is controlled as necessary. including forms in which at least part of the information for is obtained.

<<first database 61>>
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, for example, in an external storage medium.

In 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 linked in advance and stored. be. For example, as shown in FIG. 8A, 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. and T613.

<<Device information table T611>>
The device information table T611 stores reference device information D61-1 as shown in FIG. 9A, for example.

<<Reference Device Information D61-1>>
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 ventilator. The reference device information D61-1 includes, for example, information on the type of ventilator (ventilator fan, air conditioner, etc.), manufacturer information, model number information, and the like. The reference device information D61-1 includes device information D31, for example.

<<Control Information Table T613>>
The control information table T613 stores reference control information D63-1 as shown in FIG. 9B, for example.

<<Control information for reference D63-1>>
Reference control information D63-1 is stored, for example, in control information table T613. Reference control information D63-1 includes, for example, ventilator control information. Reference control information D63-1 includes, for example, signal information for controlling a ventilator. Reference control information D63-1 includes, for example, control information D33.

The control information included in the reference control information D63-1 is associated with the device information included in the reference device information D61-1, for example. For example, the model number information "A123" manufactured by manufacturer A and the signal information "10XXX" for controlling the model number information "A123" are linked. Also, the model number information "B456" manufactured by the manufacturer B and the signal information "20XXX" for controlling the model number information "B456" are linked. By the above method, the reference control information D63-1 and the reference device information D61-1 are linked.

<Setting step S120>
In the setting step S120, the setting means 34 refers to the second database 62, and then sets the operation information D32 and the control information D33 corresponding to the device information D31 specified by the device information specifying means 33 in the device information specifying step S110. Acquire and set for the ventilation control device 3 . In this case, the ventilator 2 can be controlled regardless of the type, manufacturer, model number, etc. of the ventilator 2 . Thereby, the improvement of the convenience of the ventilator 2 can be aimed at. Here, the control information D33 acquired by the setting means 34 in the setting step S120 is not limited to acquiring all of the control information for controlling the ventilator 2. For example, the control information D33 for controlling the ventilator 2 Only part of the information may be obtained, and the same shall apply hereinafter. For example, in the setting step S120, the setting means 34 may acquire only the same control information as the control information D33' acquired by the ventilation control device 3 from the ventilation device operation unit 200 in the device information specifying step S110. It is also possible to obtain only the control information including the control information D33', which is part of the control information included in D33, or the part of the control information included in the control information D33, excluding the control information D33'. Only control information may be acquired. Further, the operation information D32 acquired by the setting means 34 in the setting step S120 is the same as the control information D33, and is not limited to acquiring all the information indicating the operation details of the ventilation device 2. Only part of the information indicating the operation content may be acquired, and the same applies to the following.

<<second database 62>>
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, for example, in an external storage medium. 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 linked in advance and stored.

For example, as shown in FIG. 8B, 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.

<<Device information table T621>>
The device information table T621 stores reference device information D61-2, for example, as shown in FIG. 10(a).

<<Reference device information D61-2>>
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.

<<Operation Information Table T622>>
The operation information table T622 stores reference operation information D62-2, as shown in FIG. 10B, for example.

<<Reference Operation Information D62-2>>
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 the operation details of the ventilator. Reference operation information D62-2 includes, for example, operation information D32.

<<Control Information Table T623>>
The control information table T623 stores reference control information D63-2, for example, as shown in FIG. 10(c).

<<Reference Control Information D63-2>>
Reference control information D63-2 is stored, for example, in control information table T623. Reference control information D63-2 includes, for example, the same information as reference control information D63-1.

Next, referring to FIG. 11, the correspondence between the reference device information D61-2 in the second database 62, and the reference operation information D62-2 and reference control information D63-2 that are linked and stored in advance. Describe relationships.

The reference device information D61-2 includes, for example, a library number assigned to each device information including type information, manufacturer information, model number information, etc., as shown in FIG. 11(a). The reference device information D61-2 includes, for example, type information "ventilator", manufacturer information "A company", model number information "A123", and library number "1".

In this case, for example, as shown in FIG. 11B, the operation contents 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 are displayed. The operation information indicating "start" and the signal information "10001" for controlling the model number information "A123" to execute the operation content "start" included in the reference control information D63-2 are linked. 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" of the model number information "A123" included in the reference operation information D62-2 are indicated. The operation information is associated with the signal information "10002" for controlling the operation content "increase the blowing volume by one step" to the model number information "A123".

By the above method, in the second database 62, the reference operation information D62-2 and the reference control information D63-2 are linked in advance for each reference device information D61-2 and stored. Note that the reference operation information D62-2 and the reference control information D63-2 may be associated with 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 performed, and the operation of the ventilation control system 1 in this embodiment ends. In addition, in the ventilation control system 1, for example, each step described above may be repeatedly performed.

According to this embodiment, the ventilation control system 1 includes the device information specifying means 33 for specifying the device information D31 corresponding to the control information D33′ acquired from the ventilator operation section 200, 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 and sets them for the ventilation control device 3 . Therefore, the ventilator 2 can be controlled regardless of the type, manufacturer, model number, etc. of the ventilator 2 . Thereby, the improvement of the convenience of the ventilator 2 can be aimed at.

According to this embodiment, the ventilation control device 3 includes the device information specifying means 33 for specifying the device information D31 corresponding to the control information D33′ acquired from the ventilation device operation unit 200, 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 and sets them for the ventilation control device 3 . Therefore, the ventilator 2 can be controlled regardless of the type, manufacturer, model number, etc. of the ventilator 2 . Thereby, the improvement of the convenience of the ventilator 2 can be aimed at.

According to this embodiment, the ventilation control program comprises a device information specifying step S110 for specifying the device information D31 corresponding to the control information D33′ acquired from the ventilation device operation unit 200, and the device information specified by the device information specifying step S110. A setting step S120 for obtaining operation information D32 and control information D33 corresponding to D31 and setting the ventilation control device 3 is executed by the computer. Therefore, the ventilator 2 can be controlled regardless of the type, manufacturer, model number, etc. of the ventilator 2 . This makes it possible to provide the ventilator 2 with improved convenience.

(Second embodiment: ventilation control system 1)
An example of the ventilation control system 1 in this embodiment will be described with reference to FIG. FIG. 12 is a schematic diagram showing an example of the detailed configuration of the ventilation control device 3 in this embodiment. In this embodiment, the ventilation control device 3 further includes learning data acquisition means 35 and device information model generation means 36, and the device information specifying means 33 specifies the device information D31 after referring to the learning model. Differs from one embodiment. Note that descriptions of the same configurations as those described above are omitted.

<Ventilation control device 3>
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.

<<Device Information Identification Means 33>>
The device information identifying means 33 identifies device information corresponding to the control information acquired from the ventilator operating section 200 by referring to a learning model stored in advance in the first database 61, for example.

<<learning data acquisition means 35>>
The learning data acquiring means 35 reproduces and generates, for example, the acquired control information as reproduction control information, and acquires the control information including the generated reproduction control information and the device information of the ventilator as learning data. The reproduction control information will be explained later.

<<Device Information Model Generation Means 36>>
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 means 36 generates a device information model, which will be described later, based on learning data including reproduction control information and device information acquired by the learning data acquisition means 35, for example.

(Second embodiment: an example of the operation of the ventilation control system 1)
Next, an example of the operation of the ventilation control system 1 in this embodiment will be described with reference to FIGS. 13 and 14. FIG. FIG. 13 is a flow chart 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.

<Learning Data Acquisition Step S130>
In the learning data acquisition step S130, the learning data acquisition means 35 reproduces and generates 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 device Learning data D71 including reproduction control information capable of control corresponding to the operation information D32 of No. 2 and device information D31 of the ventilation device 2 is acquired.

Here, the reproduction control information is control information newly generated by simulating the signal information included in the control information D33' of the ventilation device 2, for example. Here, the control information D33' is information for controlling the ventilator 2 so that the operation indicated by the operation information D32 is performed. However, there are cases in which the generated reproduction control information cannot control the ventilator 2 so as to perform the operation indicated by the operation information D32. For this reason, the learning data acquisition means 35 outputs the generated reproduction control information to the ventilation device 2, and stores only the reproduction control information that can control the ventilation device 2 so that the operation indicated by the operation information D32 is performed as the learning data. You may acquire as D71. The learning data acquiring means 35 may acquire, as the learning data D71, only the reproduction control information confirmed by the operation of the ventilation device 2 that the ventilation device 2 can be controlled so as to perform the operation indicated by the operation information D32. .

<<learning data D71>>
The learning data D71 is used, for example, as shown in FIG. 14, for machine learning to generate an apparatus information model 81, which will be described later. The learning data D71 is a data set including, for example, input data D711 and output data D712.

<Input data D711>
The input data D711 is used as part of learning data used for machine learning for generating the device information model 81 . The input data D711 includes reference control information D63-1 obtained in advance, for example.

<Output data D712>
The output data D712 is used as part of the learning data D71 used for machine learning for generating the device information model 81. FIG. The output data D712 includes, for example, pre-obtained reference device information D61-1.

A combination of a set of input data D711 and output data D712 included in learning data D71 is, for example, reference control information D63-1 included in input data D711 and reference device information D61-1 included in output data D712. Includes combinations associated with As a combination in which the reference control information D63-1 and the reference device information D61-1 are linked, for example, control information indicating signal information “10XXX” for controlling the model number “A123” of the ventilator 2 and ventilation Device information including the model number “A123” of the device 2 is linked. In addition to the above, for example, the control information indicating the signal information "10XXX" for controlling the model number "A123" and the device information including the manufacturer "A company" of the model number "A123" of the ventilator 2 are linked. good too.

By using the device information model 81 generated using such learning data D71, it is possible to specify the device information D31 corresponding to the control information D33' acquired from the ventilator operation unit 200.

<Device information model generation step S140>
In the device information model generation step S140, 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. FIG. That is, it is possible to generate a learning model corresponding to the ventilator 2 for which the learning data D71 cannot be arranged. Therefore, the device information D31 of various ventilation devices 2 can be specified. As a result, it is possible to improve the convenience of various ventilators 2 .

<<Device Information Model 81>>
The device information model 81 is generated by machine learning using the learning data D71, for example. The device information model 81 is generated using a plurality of learning data D71, with a data set including, for example, input data D711 and output data D712 as one learning data D71. The device information model 81 is stored in the first database 61, for example. The apparatus information model 81 indicates a regression model generated based on the analysis results obtained by analyzing the input data D711 as an explanatory variable and the output data D712 as an objective variable, for example, by regression analysis.

The device information model 81 includes, for example, a device information relationship 810 having a device information relationship between input data D711 and output data D712. The device information association 810 may be generated by machine learning using a plurality of pieces of learning data D71, for example. The device information association degree indicates the degree of connection between the input data D711 and the output data D712. For example, it can be determined that the higher the device information association degree, the stronger the connection between the data. The degree of device information relevance may be indicated by three or more values (three levels or more) such as percentage, or may be indicated by two or more values (two levels or more).

The device information association 810 is constructed by, for example, the degree of connection between many-to-many information (a plurality of input data D711, a plurality of output data D712). The device information association 810 is appropriately updated in the process of machine learning, and indicates, for example, a function (classifier) optimized based on a plurality of input data D711 and a plurality of output data D712. Note that the device information relevance 810 may have, for example, a plurality of device information relevance degrees indicating the degree of connection between each piece of data. The device information relevance can be made to correspond to a weight variable, for example, when the database is constructed with a neural network.

For this reason, the ventilator control system 1 selects output data D712 suitable for input data D711, for example, using device information association 810 based on all the results determined by the classifier. This makes it possible to quantitatively select the output data D712 suitable for the input data D711 not only when the input data D711 is the same as or similar to the output data D712, but also when they are dissimilar.

The device information association 810 may indicate the degree of connection between the plurality of input data D711 and the plurality of output data D712, for example. In this case, by using the device information association 810, the relationship between a plurality of output data D712 (for example, output data A, output data B) for each of a plurality of input data D711 (for example, input data A, input data B) can be linked and stored. For this reason, a plurality of input data D711 can be associated with one output data D712 via the device information association 810, for example. As a result, it is possible to realize multifaceted selection of the output data D712 for the input data D711.

The device information association 810 has, for example, a plurality of device information association degrees that link each piece of input data D711 and each piece of output data D712. The degree of device information relevance is indicated by three or more levels, such as percentage, 10 levels, or 5 levels, for example, and is indicated by, for example, line characteristics (such as thickness). For example, the “input data A” included in the input data D711 indicates the device information association 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. data B” and the device information association degree AB “12%”. That is, the "apparatus information association degree" indicates the degree of connection between each piece of data. For example, the higher the apparatus information association degree, the stronger the connection between the pieces of data.

Further, the device information association 810 may be provided with at least one or more hidden layers between the input data D711 and the output data D712. The device information relevance described above is set in either or both of the input data D711 and the hidden layer data, and this serves as weighting for each data, and output selection is performed based on this. Then, when the device information association degree 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. A trained model indicates, for example, a neural network model such as a CNN (Convolutional Neural Network), or an SVM (Support Vector Machine). As machine learning, for example, deep learning can be used. As machine learning, for example, a generative adversarial network (GAN) may be used to artificially generate the input data D711.

By using the device information model 81 including the device information association 810 as described above, it is possible to specify the device information D31 corresponding to the control information D33' acquired from the ventilator operation unit 200.

<Device information specifying step S110>
In the device information identifying step S110, the device information identifying 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 ventilator operating unit 200. The device information D31 corresponding to the information D33' is specified. Therefore, the accuracy of specifying the device information D31 of the ventilation device 2 can be improved. Thereby, further improvement of the convenience of the ventilator 2 can be aimed at.

According to this embodiment, the device information identifying means 33 creates a data set that includes input data D711 including reference control information D63-1 and output data D712 including reference device information D61-1. The device information model 81 generated by machine learning is referred to as the learning data D71, and the device information D31 corresponding to the control information D33' acquired from the ventilator operation unit 200 is specified. Therefore, the accuracy of specifying the device information D31 of the ventilation device 2 can be improved. Thereby, further improvement of the convenience of the ventilator 2 can be aimed at.

According to this embodiment, the ventilation control system 1 reproduces the control information D33′ acquired from the ventilator operation unit 200, and out of the reproduction control information output to the ventilator 2, the operation information of the ventilator 2 Learning data acquisition means 35 for acquiring learning data D71 including reproduction control information capable of control corresponding to D32 and device information D31 of the ventilation device 2, and learning data D71 acquired by the learning data acquisition means 35 and a device information model generating means 36 for generating the device information model 81 by machine learning based on the above. That is, a learning model corresponding to the ventilator 2 for which learning data cannot be arranged can be generated. Therefore, the device information D31 of various ventilation devices 2 can be specified. As a result, it is possible to improve the convenience of various ventilators 2 .

(Third Embodiment: Ventilation Control System 1)
An example of the ventilation control system 1 in this embodiment will be described with reference to FIG. FIG. 15 is a schematic diagram showing an example of the detailed configuration of the ventilation control device 3 in this embodiment. In this embodiment, the ventilation control device 3 further includes learning data acquisition means 35 and control information model generation means 37, and after the setting means 34 refers to the learning model, operation information D32 and corresponding operation information D32 It is different from the first embodiment in that the control information D33 to be executed is acquired. Note that descriptions of the same configurations as those described above are omitted.

<Ventilation control device 3>
The ventilation control device 3 further includes learning data acquisition means 35 and control information model generation means 37, as shown in FIG. 15, for example.

<Setting Means 34>
The setting means 34 refers to, for example, a learning model stored in advance in the second database 62, and then sets operation information corresponding to the device information specified by the device information specifying means 33, control information corresponding to the operation information, to get The setting means 34 sets the acquired operation information and control information in the ventilation control device 3 .

<Learning Data Acquisition Means 35>
The learning data acquiring means 35 reproduces and generates, for example, the acquired control information as reproduction control information, and acquires the control information including the generated reproduction control information and the operation information of the ventilator as learning data.

<Control information model generating means 37>
The control information model generation means 37 generates a learning model by machine learning based on the learning data acquired by the learning data acquisition means 35, for example. 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 acquired by the learning data acquisition means 35, for example.

(Third Embodiment: Example of Operation of Ventilation Control System 1)
Next, an example of the operation of the ventilation control system 1 in this embodiment will be described with reference to FIGS. 16 and 17. FIG. FIG. 16 is a flow chart 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.

<Learning Data Acquisition Step S130>
In the learning data acquisition step S130, the learning data acquisition means 35 reproduces and generates 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 device Learning data D72 including reproduction control information capable of control corresponding to the operation information D32 of No. 2 and operation information D32 of the ventilation device 2 is acquired.

<<learning data D72>>
The learning data D72 is used for machine learning for generating a control information model 82, which will be described later, as shown in FIG. 17, for example. The learning data D72 is a data set including, for example, input data D721 and output data D722.

<Input data D721>
The input data D721 is used as part of learning data used for machine learning for generating the control information model 82 . The input data D721 includes reference operation information D62-2 obtained in advance, for example.

<Output data D722>
The output data D722 is used as part of the learning data D72 used for machine learning for generating the control information model 82. FIG. The output data D722 includes reference control information D63-2 obtained in advance, for example.

A combination of a set of input data D721 and output data D722 included in learning data D72 is, for example, reference operation information D62-2 included in input data D721 and reference control information D63-2 included in output data D722. Includes combinations associated with As a combination in which the reference operation information D62-2 and the reference control information D63-2 are linked, for example, operation information indicating the details of the operation to “activate” the model number “A123” of the ventilation device 2 and the operation information of the ventilation device 2 and control information indicating signal information "10XXX" for controlling to "activate" the model number "A123".

By using the control information model 82 generated using the learning data D72 such as these, 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 are obtained. D33 and , can be obtained.

<Control information model generation step S150>
In the 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. FIG. That is, a learning model corresponding to the ventilator 2 for which learning data cannot be arranged can be generated. Therefore, even if the control information D33 of the ventilator 2 is unknown, more accurate control information D33 can be newly generated. As a result, it is possible to improve the convenience of a wider variety of ventilation devices 2 .

<<Control information model 82>>
The control information model 82 is generated by machine learning using the learning data D72, for example. The control information model 82 is generated using a plurality of pieces of learning data D72, with a data set including, for example, input data D721 and output data D722 set as learning data D72. The control information model 82 is stored in the second database 62, for example. The control information model 82 indicates a regression model generated based on the results of analysis by regression analysis or the like using, for example, the input data D721 as an explanatory variable and the output data D722 as an objective variable.

The control information model 82 includes a control information relationship 820 having a control information relationship between input data D721 and output data D722, for example. The control information association 820 may be generated by machine learning using a plurality of learning data D72, for example. The control information association degree indicates the degree of connection between the input data D721 and the output data D722. For example, it can be determined that the higher the control information association degree, the stronger the connection between the data. The degree of control information relevance may be indicated by three or more values (three levels or more) such as percentage, or may be indicated by two or more values (two levels or more).

The control information association 820 is constructed by, for example, the degree of connection between many-to-many information (a plurality of input data D721, a plurality of output data D722). The control information association 820 is appropriately updated in the process of machine learning, and indicates, for example, a function (classifier) optimized based on multiple pieces of input data D721 and multiple pieces of output data D722. Note that the control information relevance 820 may have, for example, a plurality of control information relevance degrees indicating the degree of connection between each piece of data. The degree of control information relevance can correspond to a weight variable, for example, when the database is constructed with a neural network.

Therefore, in the ventilator control system 1, the output data D722 suitable for the input data D721 is selected, for example, using the control information association 820 based on all the results determined by the classifier. This makes it possible to quantitatively select the output data D722 suitable for the input data D721 not only when the input data D721 is the same as or similar to the output data D722, but also when they are dissimilar.

The control information association 820 may indicate the degree of connection between the plurality of input data D721 and the plurality of output data D722, for example. In this case, by using the control information association 820, the relationship between a plurality of output data D722 (for example, output data A, output data B) for each of a plurality of input data D721 (for example, input data A, input data B) can be linked and stored. Therefore, a plurality of input data D721 can be associated with one output data D722 via the control information association 820, for example. As a result, it is possible to realize multifaceted selection of the output data D722 for the input data D721.

The control information association 820 has, for example, a plurality of control information association degrees that link each piece of input data D721 and each piece of output data D722. The degree of control information relevance is indicated, for example, in three or more stages such as percentage, 10 stages, or 5 stages, and is represented, for example, by line characteristics (such as thickness). For example, the “input data A” included in the input data D721 indicates the control information association 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. data B" and control information relevance AB "12%". That is, the "control information association degree" indicates the degree of connection between each piece of data. For example, the higher the control information association degree, the stronger the connection between the pieces of data.

Further, the control information association 820 may be provided with at least one or more hidden layers between the input data D721 and the output data D722. The control information relevance described above is set in either or both of the input data D721 and the hidden layer data, which serves as weighting for each data, and output selection is performed based on this. Then, when the degree of association of control information exceeds a certain threshold, the output may be selected.

The control information model 82 may include a learned model generated by machine learning using a plurality of learning data D72, for example. A trained model indicates, for example, a neural network model such as a CNN (Convolutional Neural Network), or an SVM (Support Vector Machine). As machine learning, for example, deep learning can be used. As machine learning, for example, a generative adversarial network (GAN) may be used to artificially generate the input data D721.

By using the control information model 82 including the control information association 820 as described above, 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 can be obtained. , can be obtained.

<Setting step S120>
In the setting step S120, 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, according to the device information D31 specified by the device information specifying means 33, and the control information D33 corresponding to the operation information D32. In this case, even if the control information D33 of the ventilator 2 is unknown, the control information 2 can be newly generated. As a result, it is possible to improve the convenience of various ventilators 2 .

According to this embodiment, the setting means 34 sets a data set, which is a set of input data D721 including reference operation information D62-2 and output data D722 including reference control information D63-2, as learning data. D72, referring to the control information model 82 generated by machine learning, operation information D32 corresponding to the device information D31 specified by the device information specifying means 33, and control information D33 corresponding to the operation information D32. and get Therefore, even if the control information D33 of the ventilator 2 is unknown, the control information D33 can be newly generated. As a result, it is possible to improve the convenience of various ventilators 2 .

According to this embodiment, the ventilation control system 1 reproduces the control information D33′ acquired from the ventilator operation unit 200, and out of the reproduction control information output to the ventilator 2, the operation information of the ventilator 2 learning data acquisition means 35 for acquiring learning data D72 including reproduction control information capable of control corresponding to D32 and the operation information D32; A control information model generating means 37 for generating the control information model 82 by learning is further provided. That is, a learning model corresponding to the ventilator 2 for which learning data cannot be arranged can be generated. Therefore, even if the control information D33 of the ventilator 2 is unknown, more accurate control information D33 can be newly generated. As a result, it is possible to improve the convenience of a wider variety of ventilation devices 2 .

(Fourth embodiment: ventilation control system 1)
An example of the ventilation control system 1 in this embodiment will be described with reference to FIG. FIG. 18 is a schematic diagram showing an example of the configuration of the ventilation control system 1 according to this embodiment. The present embodiment differs from the first embodiment in that the ventilation control system 1 further includes information acquisition means and determination means. Note that descriptions of the same configurations as those described above are omitted.

<Ventilation control system 1>
The ventilation control system 1 further includes information acquisition means for acquiring various types of information and determination means for determining the degree of necessity of control of the ventilation device 2 . The ventilation control system 1 may further include a data server for storing various information or control conditions, etc., and management setting means for managing the ventilation control system 1 .

<Information Acquisition Means>
The information acquisition means acquires various kinds of information. The information acquisition means includes, for example, an indoor information acquisition means for acquiring indoor information, an external information acquisition means for acquiring external information, a performance information acquisition means for acquiring performance information, and an indoor sensor information acquisition means for acquiring indoor sensor information. and outdoor sensor information acquiring means for acquiring outdoor sensor information. Details of the various information will be described later. The information acquisition means may be provided separately from the ventilation control device 3 or may be provided in the ventilation control device 3 .

The information acquisition means may have, for example, a wireless communication control unit for transmitting the acquired various information to an arbitrary communication device. The wireless communication control unit is, for example, wire-connected to the information acquiring means, and transmits various kinds of information acquired by the information acquiring means to communication devices connected to the wireless communication network. For example, when the information acquisition means is distinguished from the ventilation control device 3, the acquired various information may be transmitted to the ventilation control device 3 via the wireless communication control unit. The information acquisition means may transmit various acquired information to a data server, which will be described later, via the wireless communication control unit, for example.

<Determination means>
The determination means determines the degree of necessity of control of the ventilator 2 . The determination means determines the degree of necessity of control of the ventilator 2 based on, for example, any one or a combination of the various information acquired by the information acquisition means and the control conditions. Details of the control conditions will be described later. The determination means may be provided separately from the ventilation control device 3, or may be provided in the ventilation control device 3, for example. The determination means may be provided, for example, in the information acquisition means, or may be provided in either the data server or the management setting means, which will be described later. The determination means is implemented by, for example, the CPU 301 executing a program stored in the storage unit 304 or the like using the RAM 303 as a work area.

<Data server>
The data server stores acquired information actually acquired by various information acquisition means, calibration information obtained as a result of calibrating the acquired information, and various regulations such as control conditions and calibration conditions. The data server is connected to the ventilation control device 3 and the wireless communication control unit, for example via a public communication network. The public communication network may be configured by a so-called optical fiber communication network, and may be realized by a known communication technology such as a wired communication network or a wireless communication network including LTE (Long Term Evolution). The data server may be connected to various communication devices via the wireless access point 5 instead of the public communication network. The ventilation control system 1 may store the information in the storage unit 304 of the ventilation control device 3 instead of the data server, for example, and store the information in the storage unit 304 of the ventilation control device 3 in combination with the data server. may

<Management setting means>
The management setting means is used by an administrator who actually supervises the control of the ventilation control system 1 to set, change, update, etc. the control conditions for automatically controlling the ventilation device 2 .

The management setting means is connected to the wireless communication control unit of the ventilation control device 3, the data server, and the information acquisition means, for example, via a public communication network. The management setting means may be connected to various communication devices via the wireless access point 5 instead of the public communication network. The management setting means is composed of electronic equipment such as a personal computer (PC), etc., but in addition to the PC, it is embodied in all kinds of electronic equipment such as mobile phones, smart phones, tablet terminals, wearable terminals, etc. It may be one that is made into. This management setting means displays, on a user interface, acquired information, calibration information, etc., actually stored in the data server, for an administrator who actually supervises the control of the ventilation control system 1, for example. Further, the management setting means accepts the input by the administrator and sets the control conditions and adjusts or changes the calibration conditions stored in the data server.

<Ventilation control device 3>
For example, as shown in FIG. 18, 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, for example, to transmit and receive information. The ventilation control device 3 is connected to, for example, a data server to transmit and receive information. The ventilation control device 3 is connected to, for example, management setting means to transmit and receive information. The ventilation control device 3 may receive, for example, control conditions corresponding to various information acquired by the information acquiring means. The ventilation control device 3 may generate the control information D33 based on the control conditions, for example, and output it to the ventilation device 2 .

<Wireless communication access point 5>
The wireless communication access point 5 is, for example, a gateway base station installed indoors or outdoors. The wireless communication access point 5 is configured as a device for performing wireless communication among, for example, the ventilation control device 3, data server, and management setting means.

(Fourth Embodiment: Example of Operation of Ventilation Control System 1)
Next, an example of the operation of the ventilation control system 1 according to this embodiment will be described with reference to FIG. 19 . FIG. 19 is a schematic diagram showing an example of an automatic control method of the ventilation control system 1 in this embodiment.

The operation of ventilation control system 1 further includes an information acquisition step and a determination step.

<Information acquisition step>
In the information obtaining step, the information obtaining means obtains various kinds of information. Various types of information include, for example, indoor information, external information, performance information, indoor sensor information, outdoor sensor information, and the like. The information acquisition means acquires indoor information and external information, as shown in FIG. 19, for example.

The various information acquired in the information acquisition step may be calibrated by referring to calibration conditions. As an example of calibration, taking carbon dioxide concentration acquired as indoor sensor information as an example, the lowest value for the past 24 hours is acquired from the acquired data, and that value is set as the reference value of 400 ppm. In this calibration, the minimum value or the average value of acquired data acquired within one hour may be used.

<Indoor information>
Indoor information includes, for example, the installation location and number of indoor ventilation devices 2 including the address of the building structure, the size of the room, the height of the ceiling in the room, the maximum number of people that can be accommodated in the room, business hours, and past congestion in the room. A recording device or the like for acquired data such as information can be used. The indoor information acquiring means is for acquiring indoor information, and may be input via a user interface such as a keyboard or a touch panel, or may already acquire such indoor information. It may be configured by a database, memory, or the like.

<External information>
As external information, for example, subsidy information, price information of the ventilation device 2, inventory information of the ventilation device 2, price information of maintenance and installation of the ventilation device 2, availability information of the installation contractor of the ventilation device 2, current contract information on electric power companies, contract plan information of each electric power company, information on power consumption, model number information of ventilation device 2 in use, date of start of use of ventilation device 2, sunny, cloudy, rainy, snowy, Weather forecasts such as hail, sensible temperature index, heat shock forecasts, heat stroke information, probability of precipitation, information on pollen, yellow sand, smog, PM2.5, etc., information on volcanic eruptions and resulting gas fills, ash fall, sea Wave information, outdoor wind direction, wind speed information, traffic congestion information, radiation information including those caused by the nuclear accident, various news information, beer index, ice index, etc. obtained from public communication networks such as the Internet A recording device or the like for recording the obtained data can be used. When the information obtained from the public communication network is obtained as text information, it is subjected to natural language analysis, syntax analysis, and semantic analysis as necessary, and then classified into information with various meanings. . Therefore, the external information acquisition means may be equipped with a tool for natural language analysis of the external information composed of text information.

<Achievement information>
The performance information is composed of, for example, a database, a memory, or the like in which past performance values of the amount of electricity used by the ventilator 2 are acquired in advance. The actual amount of electricity used in the past is, for example, 150 kWh used from 12:00 to 13:00 last Wednesday, or 120 kWh used from 13:00 to 15:00 last Tuesday. may be As the performance information acquisition means, a recording device or the like of acquired data such as past various control conditions of the ventilation device 2 and past inputs of the ventilation device 2 can be used as the performance information. The performance information acquisition means is for acquiring performance information, and may be input via a user interface such as a keyboard or a touch panel. It may be configured by a database, memory, or the like.

<Indoor sensor information>
As indoor sensor information, for example, an indoor temperature acquisition sensor that acquires the indoor temperature, an indoor humidity acquisition sensor that acquires the indoor humidity, an indoor carbon dioxide concentration acquisition sensor that acquires the indoor carbon dioxide concentration, indoor PM2.5, smog, etc. PM sensor, VOC sensor, and pollen sensor that acquires the degree of pollution in the room, indoor odor acquisition sensor that acquires the degree of indoor odor, indoor ozone concentration acquisition sensor that acquires the indoor ozone concentration, and the number of people in the room human detection sensor (human sensor, people counter, AI camera, security camera, etc.), floor temperature sensor, airflow meter of ventilation device 2, temperature acquisition sensor provided at the outlet of ventilation device 2, outlet of ventilation device 2 The information acquired by the humidity acquisition sensor provided in the ventilation device 2, the power consumption meter of the ventilation device 2, the total operating time acquisition meter of the ventilation device 2, and the like can be used. Currently, smartphones and other devices owned by most people often have a built-in GPS sensor that acquires the latitude and longitude of the location of objects, etc., so it can be used as an alternative to human detection sensors. .

<Outdoor sensor information>
Outdoor sensor information includes, for example, an outdoor temperature acquisition sensor that acquires the outdoor temperature, an outdoor humidity acquisition sensor that acquires the outdoor humidity, and a PM sensor or VOC sensor that acquires the degree of pollution such as outdoor PM2.5 or smog. Information acquired by a pollen sensor, an outdoor odor acquisition sensor that acquires the degree of outdoor odor, or the like can be used.

<Determination step>
In the determination step, the determination means determines the degree of necessity of control of the ventilator 2 based on the control conditions. In the determination step, as shown in FIG. 19, for example, the determination means determines the control of the ventilator 2 based on the outdoor comfort level based on the external information, the indoor comfort level based on the indoor information, and the control conditions. Determine the degree of necessity. In the determination step, the determination means transmits the determination result to the ventilation control device 3 when it is distinguished from the ventilation control device 3 . In the determination step, the ventilation control device 3 may output control information D33 for controlling the ventilation device 2 based on the determination result.

In the determination step, the ventilation control device 3 may store the determination result in the storage unit 304 and output a plurality of pieces of control information D33 based on the determination result. In the determination step, the determination result stored in the ventilation control device 3 may be updated with a new determination result, or may be stored together with the new determination result.

<Control conditions>
The control condition includes the contents defined as the regulation linking the various information acquired by the information acquisition means and the operation information D32 of the ventilator 2 .

For example, as shown in FIG. 18, the control conditions are artificial intelligence ( It is output after referring to the learning model by AI). The learning model is generated in advance, for example, before the ventilation control system 1 operates. The control condition may be determined by combining chronological elements or other elements.

In an example of indoor sensor information, if the concentration of CO2 is 1000 ppm or more, the air volume of the ventilation device 2 is increased (or rapidly), if the concentration of CO2 is less than 600 ppm, the ventilation device 2 is turned off. If the concentration is 800 ppm or more, the ventilation valve in the ventilation device 2 is opened.

In the example of external information, when the number of infected people falls below 10,000, the ventilation device 2 shifts to energy saving mode, and when the number of infected people is 10,000 or more, the ventilation device 2 is set to the infection control mode and ventilation. If a disaster occurs in the neighborhood, the ventilation system 2 will be strengthened as a disaster countermeasure mode, the beer index is high, or if it is determined that the temperature and humidity are the same as those in the southern country. , Ventilation device 2 is set to a specific mode (ventilation conditions where beer is delicious and you can enjoy a tropical feeling), if the service life of ventilation device 2 is exceeded, or if it is time to receive a subsidy, replacement alert for ventilation device 2 If the effectiveness of the ventilation device 2 is reduced by 30% and before the installation work is busy, a failure alert for the ventilation device 2 is notified.

In the example of outdoor sensor information, if the outdoor temperature is 25°C or higher, the air volume from the ventilation device 2 is reduced and the air conditioning device is switched to cooling, and if the outdoor temperature is 18°C or lower, the ventilation device 2 is used. Increase the air volume and change the operation of the air conditioner to heating.If the indoor comfort level exceeds the outdoor comfort level (outdoor comfort level), increase the air volume from the ventilation device 2.If the outdoor humidity is 60% or more. , lowering the set temperature of the air conditioner and turning off the ventilator 2, and the like.

Furthermore, in the example of indoor sensor information and outdoor sensor information, indoor temperature, indoor humidity, carbon dioxide concentration, etc. are acquired in chronological order, and ventilation based on the frequency or time exceeding the reference value within 24 hours The degree of ventilation to be adjusted for the device 2 may be set, and the determination is based on whether the average value or maximum value of the acquired information for 24 hours exceeds the reference value. good too. In such a case, the highest average value among indoor temperature, indoor humidity, carbon dioxide concentration, etc. may be selected and the average value may be compared with the reference value, or between these three factors It may be weighted as desired and compared with a reference value.

The determination means determines whether or not the various information acquired in the information acquisition step conforms to such control conditions. For example, if the control condition is "turn off the ventilator 2 if the CO2 concentration is less than 600 ppm", it is determined whether the detected CO2 concentration is less than 600 ppm. As a result, if the control condition 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 is executed. On the other hand, if the control conditions are not met, the ventilation control device 3 is not caused to output new information.

The information acquiring means acquires, for example, the indoor temperature, the indoor humidity, the carbon dioxide concentration, etc. in time series, and calculates the average value for 24 hours every hour. For example, if even one of the average values obtained by the information obtaining means exceeds the threshold value, the determination means determines that there is an abnormality. In such a case, based on the control conditions, the ventilation control device 3 is caused to output control information D33 corresponding to the operation information D32 for "activating" the ventilation device 2, or Step up" control information D33 corresponding to the operation information D32 is output.

In addition, the automatic control described above is performed via the ventilation control device 3, but in parallel with this, the wireless communication control unit may constantly acquire the information acquired by the information acquiring means. Various types of information to be captured by this wireless communication control unit may be raw data that has not been calibrated, data that has been calibrated, or raw data and data that has been calibrated. may be both.

The wireless communication control unit transmits this fetched acquisition data to the data server. The data server sequentially stores this acquired data. Acquired data is sequentially sent to this data server from wireless communication control units provided at various other locations, and is stored in sequence. As a result, this data server collects acquired data acquired from information acquiring means in various places via the wireless communication control unit.

This data server can be accessed from the management setting means side via a public communication network. The management setting means statistically organizes and tabulates the obtained information recorded in the data server as necessary, and makes it visible on the user interface. Statistical arrangement and tabulation of the obtained information may be performed for each radio communication control unit, or may be tabulated collectively for a plurality of radio communication control units.

In the following example, a case will be described in which statistical arrangement and tabulation of acquired information are performed in units of individual wireless communication control units.

In such a case, the management/setting means displays the aggregated result of the acquired data on the user interface. The display screen on this user interface may display, for example, each acquired value in chronological order. In addition, when the administrator visually confirms the total result of the measurement data and determines that there is an abnormality, he/she can manually issue an instruction to change the control conditions. In such a case, the administrator will have to determine whether the control conditions should be left unchanged or whether the control conditions themselves should be changed based on their own experience. The result of this administrator's determination is reflected in the control conditions. As a result of the determination, the administrator may decide on his/her own judgment what kind of control conditions should be set, or may automatically decide on the side of the management setting means. In such a case, a template to which control conditions are linked may be formed in advance according to the frequency of determination to change the control conditions, and the control conditions may be specified based on the template.

Basically, the control conditions may be changed and updated automatically on the management setting means side. As a method of changing the control conditions, for example, for each acquired data of one or more of indoor sensor information, outdoor sensor information, indoor information, performance information, and external information, indoor A template is prepared in which one or more determination results of comfort, energy saving, failure, heat stroke risk, infectious disease risk, etc. are linked. Then, on the side of the management setting means, the frequency or time when the newly acquired data exceeds the reference value is specified, and the indoor comfort, energy saving, and malfunction linked to the specified frequency or time are determined. Any one or more of the presence/absence, heatstroke risk, infectious disease risk, and the like is extracted. As a result, the management setting means can automatically determine one or more of indoor comfort, energy saving, presence/absence of failure, heat stroke risk, infectious disease risk, etc. each time from the acquired data. Regarding the presence/absence of a failure, if the numerical value greatly deviates from the range of the control conditions, it can be determined that there is a possibility that a failure has occurred.

In addition, one or more of indoor comfort, energy saving, presence/absence of failure, heat stroke risk, infectious disease risk, and the like are associated with specific control conditions and prepared in advance as a template. As an example of this template, if indoor comfort is second from the top on a five-point scale, energy saving is the first from the bottom on a five-point scale, and heatstroke risk is third from the top on a five-step scale, If the temperature rise rate of the room temperature in time series is 0.3° C./min and the rate of increase of the degree of odor exceeds 30/min, the ventilation device 2 is immediately turned on." For example, the "time-series temperature rise rate of indoor temperature" is lowered from 0.3° C./minute to 0.2° C./minute.

It is also assumed that a control condition has been set in advance to strengthen the ventilation by the ventilation device 2 when the concentration of carbon dioxide exceeds 1000 ppm, for example. However, even if the actual carbon dioxide concentration is measured chronologically, it never reaches 700 ppm in 24 hours and exceeds 600 ppm only a few times. In such a case, the carbon dioxide concentration in the room is stable at a low level, and the people inside are accustomed to the environment, so if the concentration exceeds 900 ppm, some may feel uncomfortable. In such a case, if the carbon dioxide concentration exceeds 900 ppm, the control conditions can be changed to strengthen the ventilation by the ventilation device 2 .

In addition, as a method of changing the control conditions, the change contents of the control conditions are directly linked to each acquired data such as indoor sensor information, outdoor sensor information, indoor information, performance information, external information, etc. When newly acquired information is detected, it may be read out to directly derive the control conditions to be changed.

After deriving the control conditions to be changed on the management setting means side in this way, the control conditions recorded in the data server are updated via the public communication network. This update of the control conditions may be performed for each wireless communication control unit, or a common control condition may be updated for a plurality of wireless communication control units.

The wireless communication control unit acquires the control conditions updated on this data server via the public communication network and transmits them to the ventilation control device 3 . The ventilation control device 3 can make the determination described above based on this updated control condition.

Note that the ventilation control system 1 is not limited to setting, changing, and updating the control conditions by the management setting means based on the above-described method. For example, as an alternative to the management setting means, artificial intelligence may be used for automatic determination.

For example, as an alternative to the management setting means, artificial intelligence may be used for automatic determination. In this case, artificial intelligence is implemented for the data server instead of actually using the management setting means. That is, the data stored in this data server is learned through this artificial intelligence.

The artificial intelligence of the ventilation control system 1, for example, for the acquired data of each acquired information (indoor sensor information, outdoor sensor information, indoor information, performance information, external information, etc.), the degree of necessity of ventilation is used as teacher data, and a judgment model is created. Generate. The degree of necessity of ventilation may be specifically indicated by any one or more of the above-described indoor comfort, energy saving, failure, heatstroke risk, possibility of infectious disease risk, and the like. In the neural network in the center, the input is any one or more of acquired data such as indoor sensor information, outdoor sensor information, indoor information, performance information, external information, etc., and the output is the degree of ventilation that is the determination result. there is

In particular, among the information acquisition means, the external information acquired by the external information acquisition means is, for example, a weather forecast that may be directly or related to the control of the ventilation device 2 obtained via a public communication network such as the Internet. Since other news and the like are used as data information, it is easier to process by artificial intelligence. In such a case, when artificial intelligence, which is an alternative to the management setting means, receives input of text data, it can identify the external information through natural language analysis. When artificial intelligence makes the determination, it is possible to determine the degree of necessity of control of the ventilator 2 by inputting external information and using the determination result as output. It should be noted that the external information can be acquired not only from the Internet or the like, but also from television, radio, or the like. In the case of TV, there is software that can convert image information and voice information into text information and convert it into text data. can be specified. In the case of radio, there is software that can convert voice information into character information and convert it into text data, so when the text data is input, natural language analysis is performed, keywords are extracted, and external information is specified. be able to. If the external information is digitized in advance for each risk determination and the control of the corresponding ventilator 2 is associated with it, it is also possible to deal with it by the management setting means.

Specifically, for example, when the ventilator 2 has failed or is about to fail, external information such as the user's smart phone for the subsidy for the ventilator 2, price information for the ventilator 2, and When the inventory information of 2 and the like is input, the degree of necessity of control of the ventilation device 2 is determined as an output that is the determination result, and as ancillary service, advantageous price information and inventory information for maintenance and replacement. , it is possible to send advantageous information such as conditions for issuing coupons and subsidies, and it is also possible to notify the user's smartphone or the like of a recommended alert for maintenance or replacement of the ventilation device 2 .

In addition, when the electricity bill is high, if the user's smartphone or the like inputs the power contract plan between the current electric company and the company's power consumption as external information, the output as the judgment result is , the degree of necessity of control of the ventilator 2 is determined, and as an accompanying service, it is possible to send comparison information with other contract plans of the company and other companies.

In addition, if the model number of the ventilator 2 being used and the date of start of use are input as external information, the degree of necessity of control of the ventilator 2 is determined as an output that is the determination result, and the accompanying As a service, it is also possible to notify the user's smartphone or the like when there is recall information.

In addition, as external information, weather forecasts such as sunny, cloudy, rain, snow, hail, etc., sensory temperature index, heat shock forecast, heat stroke information, precipitation probability, pollen, yellow sand, smog, PM2.5, etc. are input. Then, as an output that is a determination result, the degree of necessity of control of the ventilation device 2 corresponding to them is determined, and as an accompanying service, it is possible to notify the user's smartphone or the like of an alarm or the like.

As external information, if there is a volcanic eruption due to a natural disaster, the effects of gas and ash fall, as well as forecasts of wind direction and speed outside, can be input. It is also possible to determine the degree of necessity of control of the ventilation device 2 corresponding to , and to notify an alarm or the like on the user's smartphone or the like as an accompanying service.

In addition, if there is a disaster such as a nuclear power plant accident as external information, the distance from the accident site, the effects of radiation, and forecasts of wind direction and wind speed can be input. It is also possible to determine the degree of necessity of control of the ventilation device 2 corresponding to , and to notify an alarm or the like on the user's smartphone or the like as an accompanying service.

In addition, when a case such as a fire in the neighborhood is input as external information, the degree of necessity of control of the ventilation device 2 corresponding to that is determined as an output that is a determination result, and as an accompanying service, the user's It is also possible to notify a smartphone or the like of an alarm or the like. In addition, when the case of being in an area where infection such as coronavirus is spreading is input as external information, the degree of necessity of control of the ventilation device 2 corresponding to it is determined as an output that is the determination result, and the accompanying As a service, a user's smartphone or the like can be notified of an alarm or the like.

Further, for example, if the room is a restaurant or the like, and the beer index and the ice index at the temperature and humidity of Dubai, etc., where beer and ice cream are delicious, are input as external information, the ventilation device 2 is output as the determination result. is determined.

In addition, indoor information such as the installation position and number of indoor ventilation devices 2 including the address of the building structure acquired from the indoor information acquisition means, the size of the room, the height of the ceiling in the room, the maximum number of people, etc. It is often used conveniently in combination with other acquired information such as external information. Since the indoor information basically does not change in many cases, it may be recorded in advance in a data server or the like. For example, as external information, there is information that there is a possibility that a strong wind and rain due to a typhoon or the like may hit the installation position of the ventilation device 2, etc., and as indoor information, the installation position of the ventilation device 2 is also input. The necessary degree of control of the ventilator 2 corresponding to these inputs is determined as an output, which is a determination result, based on a combination of these inputs.

Furthermore, past performance information such as actual values of electricity consumption, past various control conditions, and past inputs obtained from the performance information acquisition means can also be conveniently used in combination with other acquired information such as external information. often Since the performance information is past information, it may be sent to a data server or the like via a public communication network and recorded in advance. For example, if external information such as a case in which an abnormal situation as described above has occurred in the past is input, and if performance information such as how successfully the control method was cleared is input, the judgment result will be obtained. As a certain output, the necessary degree of control of the corresponding ventilator 2 is determined.

The determination model described above may be obtained by learning, as a learning data set, each previously acquired data and the degree of necessity of control of the ventilator 2 specifically determined by the administrator at that time.

When the acquired information is input using such artificial intelligence, the degree of necessity of the ventilator 2 corresponding to this is determined as an output that is a determination result. By determining the degree of necessity of control of the ventilator 2 in this way, the ventilation control system 1 can obtain the control of the ventilator 2 to be changed that is tied to it in the same manner as described above.

In addition, since the sensible temperature and the like differ for each person, when there are multiple people in the room, opinions may be solicited using individual smartphones or the like, and these may be averaged and reflected in the control conditions.

Since it is configured as described above, according to the ventilation control system 1 described above, it is possible to provide the ventilation control system 1 that takes into consideration not only the comfort of the interior of the building structure, but also high safety and the like.

Furthermore, with this ventilation control system 1, it is possible to provide comfort that suits each user. Regarding risk management, for example, if the user does not have hay fever, pollen countermeasures are not included in the risk, and control conditions are set. can also be set and implemented.

While several embodiments of the invention have been described, these embodiments have been presented by way of example and are not intended to limit the scope of the invention. These novel embodiments can be implemented in various other forms, and various omissions, replacements, and modifications can be made without departing from the scope of the invention. These embodiments and modifications thereof are included in the scope and gist of the invention, and are included in the scope of the invention described in the claims and equivalents thereof.

1 ventilator control system 2 ventilator 200 ventilator operation unit 3 ventilation control device 30 housing 301 CPU
302 ROMs
303 RAM
304 storage unit 305 I/F
306 interface
307 interface
308 input unit 309 display unit 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 4 wireless communication network 61 first database 62 2 database 81 device information model 82 control information model S110 device information specifying step S120 setting step S130 learning data acquisition step S140 device information model generation step S150 control information model generation step D31 device information D32 operation information D33 control information D61 reference device information D62 Operation information for reference D63 Control information for reference D71 Learning data (for device information model)
D711 Input data D712 Output data D72 Learning data (for control information model)
D721 Input data D722 Output data T611 Device information table (in first database)
T613 Control information table (in first database)
T621 device information table (in the second database)
T622 Operation information table (in the second database)
T623 Control information table (in the second database)

Claims (7)

An existing ventilation device that ventilates the room,
an existing ventilation device operation unit that outputs control information for controlling the ventilation device;
a ventilation control device newly installed between the ventilation device and the ventilation device operation unit;
The above ventilation control device
Reference control information including ventilation device control information and reference device information including ventilation device device information are referenced in advance and stored in a first database, and then from the ventilation device operation unit device information identifying means for identifying device information corresponding to the acquired control information;
A second database in which reference operation information including operation information indicating operation details of the ventilation device and reference control information including control information of the ventilation device are stored in advance associated with each device information of the ventilation device. After referring to it, the operation information and the control information corresponding to the device information specified by the device information specifying means are acquired from the second database , and the acquired operation information and the control are applied to the ventilation control device and setting means for setting information . The device information identifying means is generated by machine learning using, as learning data, a data set including input data including the control information for reference and output data including the device information for reference. 2. The ventilation control system according to claim 1, wherein the device information corresponding to the control information acquired from the ventilator operation unit is specified after referring to the device information model stored in advance in the first database. The setting means is generated by machine learning using a data set including a set of input data including the reference operation information and output data including the reference control information as learning data. Operation information corresponding to the device information specified by the device information specifying means and control information corresponding to the operation information are obtained by referring to a control information model stored in advance in a database. 3. The ventilation control system according to claim 1 or 2. reproduction control information generated by reproducing the control information acquired from the ventilator operation unit and output to the ventilator, among the reproduction control information output to the ventilator, capable of performing control corresponding to the operation information of the ventilator; a learning data acquiring means for acquiring learning data including device information of the ventilator;
3. The ventilation control system according to claim 2, further comprising device information model generation means for generating a device information model by machine learning based on the learning data acquired by said learning data acquisition means. reproduction control information generated by reproducing the control information acquired from the ventilator operation unit and output to the ventilator, among the reproduction control information output to the ventilator, capable of performing control corresponding to the operation information of the ventilator; learning data acquisition means for acquiring learning data including operation information;
4. The ventilation control system according to claim 3, further comprising control information model generating means for generating a control information model by machine learning based on the learning data acquired by said learning data acquiring means. In a ventilation control device newly installed between an existing ventilation device that ventilates a room and an existing ventilation device operation unit that outputs control information for controlling the ventilation device,
Reference control information including ventilation device control information and reference device information including ventilation device device information are referenced in advance and stored in a first database, and then from the ventilation device operation unit device information identifying means for identifying device information corresponding to the acquired control information;
A second database in which reference operation information including operation information indicating operation details of the ventilation device and reference control information including control information of the ventilation device are stored in advance associated with each device information of the ventilation device. After referring to it, the operation information and the control information corresponding to the device information specified by the device information specifying means are acquired from the second database , and the acquired operation information and the control are applied to the ventilation control device and setting means for setting information . An existing ventilator that ventilates the room, an existing ventilator operation unit that outputs control information for controlling the ventilator, and a newly installed between the ventilator and the ventilator operation unit A ventilation control program for controlling a ventilation control system comprising:
Reference control information including ventilation device control information and reference device information including ventilation device device information are referenced in advance and stored in a first database, and then from the ventilation device operation unit a device information identifying step of identifying device information corresponding to the acquired control information;
A second database in which reference operation information including operation information indicating operation details of the ventilation device and reference control information including control information of the ventilation device are stored in advance associated with each device information of the ventilation device. After referring to it, the operation information and the control information corresponding to the device information specified by the device information specifying step are acquired from the second database , and the acquired operation information and the control are applied to the ventilation control device. a setting step of setting information , and causing a computer to execute a ventilation control program.

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