Ventilation control system and ventilation control device

Abstract

A ventilation control system (100) is provided with a control means (400) for individually controlling the operation of constituent equipment of a ventilation system (200) on the basis of equipment operation data indicating an operating state of the constituent equipment of the ventilation system (200), equipment position information indicating the positions of the constituent equipment, temperature data obtained from a plurality of temperature sensors (310), and temperature position information indicating the positions of the plurality of temperature sensors, and performs frame heat storage / discharge control to cause a temperature in a work area to approach a temperature of outdoor air, by causing heat accumulated in a frame of a building around the work area to be discharged. The ventilation control system (100) can achieve an improvement in a temperature environment of the work area in which a worker, being a user of the ventilation control system (100), works, a reduction in the power consumption of an air conditioning system that performs air conditioning in a building, and a reduction in workload relating to shutting down the operation of the ventilation system (200).

Description

[Technical field]

[0001] The present disclosure relates to a ventilation control system and a ventilation control device that control indoor ventilation. [Background technology]

[0002] Conventionally, in air conditioning systems that manage the air conditioning of buildings in which heat sources such as heat-generating equipment are installed, the following methods have been used to counter the rise in temperature inside the building caused by the heat generated by the heat-generating equipment: cooling only by air conditioning, forced exhaust of the heat generated by the heat-generating equipment, or a combination of cooling and exhaust. In general, power consumption can be reduced by using an exhaust fan to exhaust heat inside the building to the outdoors, compared to air conditioning management using only air conditioning.

[0003] As another method, Patent Document 1 lists nighttime ventilation in the summer when the outdoor temperature is lower than the indoor temperature. Nighttime ventilation is also called night purging. Patent Document 1 suggests that when night purging is performed, the cold outside air supplied by the night purging accumulates on the walls or floor of the building and stores its coldness, and compared to when night purging is not performed, the cold air stored in the building during the day can lower the temperature inside the building by about 1.5°C to 2.0°C. Night Purge This can be rephrased as the dissipation of heat accumulated due to the outside air during the day, solar radiation, and heat generated by equipment inside the building.

[0004] Patent Document 1 discloses a method for uniformly controlling ventilation devices in a building based on temperature data from multiple measurement points in the building. [Prior art documents] [Patent documents]

[0005] [Patent Document 1] JP 2020-94768 A Summary of the Invention [Problem to be solved by the invention]

[0006] For example, in a factory where a heat source such as a heat-generating production facility is installed, heat tends to accumulate in the walls or floors of the building as the facility operates. If the accumulated heat is not sufficiently dissipated during the night and is carried over to the next day, the heat carried over to the next day may raise the temperature in the factory on the next day, causing a deterioration in the working environment in the factory or an increase in the power consumption of the air conditioning system that provides air conditioning in the factory. In addition, since heat is stored in the walls or floors of the building as the facility operates, the degree of heat storage may vary depending on the location of the wall or floor of the same building, depending on the structure of the building or its position relative to the heat source. Usually, the amount of heat stored in the walls or floors near the heat source is the largest.

[0007] However, in an environment where heat sources and work areas are mixed in a building, the heat accumulated in the walls or floors around the heat source will diffuse to the work area by traveling through the building's structure. The heat diffused in this way will cause the temperature of the work area to rise. To prevent such a rise in temperature in the work area, it is necessary to perform night purging of the work area.

[0008] Ventilation fans are often installed in a building near the heat source to exhaust heat from the heat source. Therefore, if all the ventilation fans installed in the building are operated uniformly, the outside air supplied to the building will be guided by the ventilation fans near the heat source, and the outside air will not be sufficiently supplied to the work area, making it impossible to perform night purging of the work area. Therefore, in order to perform appropriate night purging of the target area in the building, it is necessary to perform appropriate operation control while taking into account the positional relationship between the ventilation fans and the work area, rather than operating all the ventilation fans installed in the building uniformly.

[0009] However, although Patent Document 1 suggests that there are temperature differences at each measurement point of the building structure, it does not mention how to deal with this, and only mentions a method of uniformly shutting down the ventilation equipment installed in the building for night purging. Therefore, Patent Document 1 does not allow for appropriate night purging of the heat accumulated in the building structure.

[0010] The present disclosure has been made in consideration of the above, and aims to obtain a ventilation control system that can prevent a temperature rise in the work area where workers perform their work, caused by heat stored in the building structure. [Means for solving the problem]

[0011] In order to solve the above problems and achieve the object, the ventilation control system according to the present disclosure includes, as components, A heat source device that generates heat during operation is installed inside At least one of an exhaust fan that exhausts air inside the building to the outside, an intake fan that supplies outdoor air to the inside of the building, and a circulation fan that circulates air inside the building Exhaust and supply fans The ventilation control system includes a temperature sensor system including a plurality of temperature sensors including a work area temperature sensor for measuring the temperature of a work area, which is a predetermined area inside a building where workers perform work and is affected by heat storage in the building's framework, and an external temperature sensor for measuring the temperature of outdoor air. The ventilation control system includes a control means for individually controlling the operation of the components of the ventilation system based on equipment operation data indicating the operating state of the components of the ventilation system, equipment position information indicating the positions of the components, and temperature data obtained from the plurality of temperature sensors and temperature position information indicating the positions of the plurality of temperature sensors, thereby performing framework heat storage release control to bring the temperature of the work area closer to the temperature of the outdoor air by releasing heat stored in the framework of the building around the work area. The equipment position information is represented by horizontal position information and vertical position information, and is given in coordinates with a specific position of the building as the origin. The control means performs structure heat storage and release control by individually controlling the operation of at least the exhaust ventilation fan and the supply ventilation fan to create a ventilation flow from the supply air to the exhaust air inside the building. Effect of the Invention

[0012] According to the present disclosure, it is possible to obtain an advantageous effect of a ventilation control system that can prevent a temperature rise in a work area where workers perform work, which is caused by heat stored in the structure of a building. [Brief description of the drawings]

[0013] [Figure 1] FIG. 1 is a first schematic diagram showing an example in which the ventilation control system according to the first embodiment is applied to a factory building; [Diagram 2] FIG. 2 is a second schematic diagram showing an example in which the ventilation control system according to the first embodiment is applied to a factory building; [Diagram 3] FIG. 3 is a third schematic diagram showing an example in which the ventilation control system according to the first embodiment is applied to a factory building. [Figure 4] Schematic floor plan of the factory building shown in Figure 1 [Diagram 5] FIG. 1 is a block diagram showing a functional configuration of a ventilation control system according to a first embodiment. [Figure 6] FIG. 1 is a block diagram showing a functional configuration of a ventilation fan in a ventilation control system according to a first embodiment. [Figure 7] FIG. 1 is a block diagram showing a functional configuration of a circulation fan of a ventilation control system according to a first embodiment. [Figure 8] FIG. 1 is a block diagram showing a functional configuration of a temperature sensor of a ventilation control system according to a first embodiment. [Figure 9] FIG. 1 is a block diagram showing a functional configuration of a ventilation control device of a control means of a ventilation control system according to a first embodiment. [Figure 10] FIG. 1 is a diagram showing an example of a hardware configuration for implementing a control unit of a ventilation control system according to a first embodiment. [Figure 11] 1 is a flowchart showing the procedure of the operation of the ventilation control system according to the first embodiment. [Figure 12] A block diagram showing a functional configuration of a ventilation control system according to a second embodiment. [Figure 13] 11 is a flowchart showing the procedure of the operation of the ventilation control system according to the second embodiment. [Figure 14]FIG. 13 is a block diagram showing a configuration of a learning device according to a third embodiment. [Figure 15] 11 is a flowchart showing a procedure of a learning process performed by the learning device according to the third embodiment. [Figure 16] FIG. 13 is a block diagram showing a configuration of an inference device according to a third embodiment. [Figure 17] 11 is a flowchart showing the procedure of an inference process by the inference device and a control process by the ventilation control device according to a third embodiment. [Figure 18] FIG. 1 is a diagram illustrating an example of a hardware configuration of a processing circuit according to a first embodiment. DETAILED DESCRIPTION OF THE PREFERRED EMBODIMENTS

[0014] A ventilation control system and a ventilation control device according to an embodiment will be described in detail below with reference to the drawings.

[0015] Embodiment 1 FIG. 1 is a first schematic diagram showing an example in which the ventilation control system 100 according to the first embodiment is applied to a building 701 of a factory. FIG. 2 is a second schematic diagram showing an example in which the ventilation control system 100 according to the first embodiment is applied to a building 701 of a factory. FIG. 3 is a third schematic diagram showing an example in which the ventilation control system 100 according to the first embodiment is applied to a building 701 of a factory. FIGS. 1 and 2 show a case in which the ventilation control system 100 is applied to a building 701 of a factory, and an indoor space inside the building 701 is set as a space to be ventilated. FIG. 3 shows a state in which the control means 400 of the ventilation control system 100 according to the first embodiment is arranged in a control room 702 of a factory.

[0016] FIG. 4 is a schematic plan view of the building 701 of the factory shown in FIG. 1. FIG. 4 shows a schematic configuration arranged in the building 701 seen through the ceiling of the building 701. In FIG. 4, for ease of understanding, the local exhaust ventilation fan 230 and the duct 231 are shown at the side of the manufacturing equipment 703 and the heat source device 706 in the in-plane direction of the floor surface 701b of the building. In reality, however, the local exhaust ventilation fan 230 and the duct 231 are actually arranged above the manufacturing equipment 703 and the heat source device 706 as shown in FIG. 1 and FIG. 2. FIG. 5 is a block diagram showing the functional configuration of the ventilation control system 100 according to the first embodiment. The ventilation control system 100 is a system that performs ventilation or night purge inside the building 701. A hood is provided at the intake port at the lower end of the duct 231 to collect hot air resulting from the exhaust heat of the heat source device 706.

[0017] In the first embodiment, the width direction of the building 701 in FIG. 1 is defined as the X direction, the depth direction of the building 701 is defined as the Y direction, and the height direction of the building 701 is defined as the Z direction. The X direction and the Y direction are parallel to the horizontal direction. The Z direction is parallel to the vertical direction. In the X direction, the direction from left to right in FIG. 1 is defined as the + direction of the X direction, and the direction from right to left in FIG. 1 is defined as the - direction of the X direction. In the Y direction, the direction from the upper right to the lower left in FIG. 1 is defined as the + direction of the Y direction, and the direction from the lower left to the upper right in FIG. 1 is defined as the - direction of the Y direction. In the Z direction, the direction from bottom to top in FIG. 1 is defined as the + direction of the Z direction, and the direction from top to bottom in FIG. 1 is defined as the - direction of the Z direction.

[0018] 2 and 3, the factory is provided with a building 701 which is a closed space, and a control room 702 in which the control means 400 is installed. The building 701 and the control room 702 may be provided in the same place in the factory. That is, the control room 702 may be provided inside the building 701. Also, the building 701 and the control room 702 may be provided in different places in the factory.

[0019] As shown in Figures 1 and 2, manufacturing equipment 703 is arranged inside building 701. Manufacturing equipment 703 includes heat source device 706 that generates heat when in operation. That is, heat is generated by the operation of manufacturing equipment 703. Manufacturing equipment 703 is not an apparatus arranged for the purpose of heating the interior of building 701, but an apparatus installed for the purpose of manufacturing products.

[0020] As shown in FIG. 2 and FIG. 4, high-temperature air 705, the temperature of which is relatively higher than other regions of the building 701 due to exhaust heat emitted from the manufacturing equipment 703, spreads around the manufacturing equipment 703. The high-temperature air 705 that spreads around the manufacturing equipment 703 is exhausted to the outside of the building 701 by operation of the exhaust ventilation fan 210 or the local exhaust ventilation fan 230 described later of the ventilation control system 100. The high-temperature air 705 exhausted to the outside of the building 701 comes into contact with a building frame such as a ceiling or a wall during the exhaust process, and the heat of the high-temperature air 705 is transferred to the building frame. As a result, the heat of the high-temperature air 705 is stored in the building frame as heat storage 707. In addition, the high-temperature air 705 that was not completely captured by the operation of the exhaust ventilation fan 210 or the local exhaust ventilation fan 230 comes into contact with a building frame such as a ceiling or a wall, and the heat of the high-temperature air 705 is transferred to the building frame. As a result, the heat of the high-temperature air 705 is stored in the structure as heat storage 707 .

[0021] Furthermore, heat is directly transferred from the manufacturing equipment 703 to the floor surface 701b of the building adjacent to the manufacturing equipment 703. As a result, heat from the manufacturing equipment 703 is stored in the building frame as heat storage 707. The heat storage 707 diffuses to the building frame around the worker 704 according to the temperature gradient within the building frame, and when the temperature of the building frame is higher than the air temperature around the worker 704, the heat from the heat storage 707 is released into the air around the worker 704, raising the air temperature around the worker 704.

[0022] The ventilation control system 100 used in a building 701 includes a ventilation system 200, a temperature sensor system 300, and a control means 400.

[0023] The ventilation system 200 performs night purging to promote ventilation inside the building 701 or heat dissipation from the heat storage 707. The ventilation system 200 includes one or more exhaust ventilation fans 210, one or more supply ventilation fans 220, one or more local exhaust ventilation fans 230, one or more circulation fans 240, and a ventilation control interface 260.

[0024] The ventilation control interface 260 is an interface connected to the temperature sensor system 300 and the control means 400. Hereinafter, the interface is abbreviated as I / F. For example, below, the ventilation control interface 260 is abbreviated as ventilation control I / F 260. The ventilation control I / F 260 is an I / F used for control of the exhaust ventilation fan 210, the supply ventilation fan 220, the local exhaust ventilation fan 230, and the circulation blower 240 by the control means 400. That is, the ventilation control I / F 260 mediates information communication between the exhaust ventilation fan 210, the supply ventilation fan 220, the local exhaust ventilation fan 230, and the circulation blower 240 and the control means 400.

[0025] The exhaust ventilation fan 210 is a ventilation facility that performs ventilation or night purging inside the building 701, and is installed on an outer wall 701a of the building 701 that separates the inside of the building 701 from the outside of the building 701, and is an exhaust device that exhausts the air inside the building 701 to the outdoors, which is the outside of the building 701. The exhaust ventilation fan 210 has a function equivalent to a general exhaust ventilation fan. The exhaust ventilation fan 210 is capable of communicating with the control means 400 via the ventilation control I / F 260, and is capable of being controlled by the control means 400.

[0026] The supply air ventilator 220 is a ventilation facility that performs ventilation or night purging inside the building 701, and is installed on the outer wall 701a of the building 701, and is an air supply device that supplies outside air, which is the air outside the building 701, to the inside of the building 701. The supply air ventilator 220 has a function equivalent to that of a general supply air ventilator. The supply air ventilator 220 is capable of communicating with the control means 400 via the ventilation control I / F 260, and is capable of being controlled by the control means 400.

[0027] The local exhaust ventilation fan 230 is a ventilation facility that performs ventilation or night purging inside the building 701, and is installed inside the building 701 at a position near the manufacturing equipment 703, and is a local exhaust device for discharging the air inside the building 701 to the outside, i.e., outside the building 701, via a duct 231. The duct 231 is an air guide path that draws in the air inside the building 701 with the airflow generated by the local exhaust ventilation fan 230 and flows the air inside the building 701 to the outside. Note that, instead of the duct 231, an exhaust hood for drawing in the air inside the building 701 may be used as the air guide path.

[0028] 6 is a block diagram showing the functional configuration of the ventilation fan 10 of the ventilation control system 100 according to the first embodiment. The configurations of the exhaust ventilation fan 210, the supply ventilation fan 220, and the local exhaust ventilation fan 230 will be described below. Since the exhaust ventilation fan 210, the supply ventilation fan 220, and the local exhaust ventilation fan 230 have the same basic configuration, the exhaust ventilation fan 210, the supply ventilation fan 220, and the local exhaust ventilation fan 230 are collectively referred to as the ventilation fan 10 here.

[0029] The ventilation fan 10 includes a ventilation unit 11, a ventilation communication unit 12, a ventilation memory unit 13, and a ventilation control unit 14. The ventilation unit 11 performs ventilation or night purging inside the building 701. The ventilation units 11 of the exhaust ventilation fan 210 and the local exhaust ventilation fan 230 exhaust air inside the building 701 to the outdoors. The ventilation unit 11 of the supply ventilation fan 220 supplies outside air to the inside of the building 701. The ventilation communication unit 12 communicates with the control means 400. The ventilation memory unit 13 stores various information used to control the ventilation fan 10. The ventilation memory unit 13 stores location information of the location where the ventilation fan 10 is installed, which is device location information of the ventilation fan 10.

[0030] The ventilation control unit 14 controls the operation of the ventilation fan 10. The ventilation control unit 14 receives operation instruction information transmitted from the control means 400 via the ventilation communication unit 12, and controls the operation of the ventilation fan 10 based on the operation instruction information. That is, the ventilation control unit 14 controls the operation of the ventilation fan 10, such as starting, stopping, and adjusting the air volume of the ventilation fan 10, based on the operation instruction information. The ventilation unit 11, the ventilation communication unit 12, the ventilation storage unit 13, and the ventilation control unit 14 can transmit and receive information to and from each other. The ventilation communication unit 12, the ventilation storage unit 13, and the ventilation control unit 14 may be mounted inside the ventilation fan 10, or may be incorporated into other devices, for example, the ventilation control I / F 260 or the control means 400.

[0031] The circulation blower 240 is a blower device that is disposed inside the building 701 and sucks in air inside the building 701 and blows it into the building 701 to circulate the air inside the building 701, or circulates outside air taken in by night purge inside the building 701. The circulation blower 240 has a function equivalent to a blower such as a general electric fan or an air conveying fan. The circulation blower 240 is capable of communicating with the control means 400 via the ventilation control I / F 260, and is capable of being controlled by the control means 400.

[0032] 7 is a block diagram showing a functional configuration of the circulation fan 240 of the ventilation control system 100 according to the first embodiment. The circulation fan 240 includes a blower 241, a blower communication unit 242, a blower memory unit 243, and a blower control unit 244. The blower unit 241 blows air to circulate the air in the room of the building 701, or blows air to circulate the outside air taken in by night purge in the building 701. The blower communication unit 242 communicates with the control means 400. The blower memory unit 243 stores various information used to control the circulation fan 240. The blower memory unit 243 stores location information of the location where the circulation fan 240 is installed, which is device location information of the circulation fan 240.

[0033] The airflow control unit 244 controls the operation of the circulation blower 240. The airflow control unit 244 receives the operation instruction information transmitted from the control means 400 via the airflow communication unit 242, and controls the operation of the circulation blower 240 based on the operation instruction information. That is, the airflow control unit 244 controls the operation of the circulation blower 240, such as starting, stopping, and adjusting the air volume of the circulation blower 240, based on the operation instruction information. The airflow unit 241, the airflow communication unit 242, the airflow memory unit 243, and the airflow control unit 244 can transmit and receive information to and from each other. The airflow communication unit 242, the airflow memory unit 243, and the airflow control unit 244 may be mounted inside the circulation blower 240, or may be incorporated into other devices, for example, the ventilation control I / F 260 or the control means 400.

[0034] In addition to the ventilation control system 100, the building 701 is provided with one or more air conditioners 250 for conditioning the air inside the building 701. The air conditioners 250 are disposed inside the building 701, and are air conditioning equipment that draws in air inside the building 701, heats or cools the drawn-in air, and supplies it to the inside of the building 701, thereby conditioning the air inside the building 701. The air conditioners 250 have functions equivalent to those of a general air conditioner. The air conditioners 250 may be an integrated type air conditioner or a separate type air conditioner.

[0035] The temperature sensor system 300 is an information collection system that collects information used by the control means 400 to control the ventilation system 200. The temperature sensor system 300 measures and collects the temperature of the air inside the building 701 and the temperature of the outdoor air. The temperature sensor system 300 includes a plurality of temperature sensors 310. The temperature sensor 310 is an environmental sensor that measures and collects the temperature of the place where the temperature sensor 310 is installed. Specifically, the temperature sensor 310 measures and collects the temperature of the air around the place where the temperature sensor 310 is installed. The temperature sensor 310 converts the temperature information of the place where the temperature sensor 310 is installed, which is the measurement result, into an electric signal and transmits it to the control means 400 as temperature data. The temperature sensor system 300 may include a heat source temperature sensor that measures the temperature of the heat source device 706 or a building temperature sensor that directly measures the temperature of the building by contacting the building.

[0036] In addition, the temperature sensor 310 stores the location information of the place where the temperature sensor 310 is installed, which is the device location information of the temperature sensor 310, and can convert the device location information of the temperature sensor 310 into an electrical signal and transmit it to the control means 400 together with the temperature information of the place where the temperature sensor 310 is installed.

[0037] A general temperature sensor that is easy to install can be used as the temperature sensor 310. The temperature sensors 310 are installed at multiple locations inside and outside the building 701. The temperature sensor 310 installed outside the building 701 is installed in a location that comes into contact with the outside air, for example, near the supply air ventilation fan 220, and measures the temperature of the outside air. The outside air temperature is the temperature of the air outdoors. Hereinafter, the outside air temperature will be referred to as the outside air temperature.

[0038] The temperature sensor 310 installed inside the building 701 is installed, for example, in a position inside the building 701 near a place where the worker 704 works, which is a predetermined work area, and measures the air temperature of the place where the worker 704 works, regardless of the presence or absence of the worker 704. In addition, the temperature sensor 310 installed inside the building 701 is installed, for example, in a position inside the building 701 near the manufacturing equipment 703, and measures the air temperature around the manufacturing equipment 703. The temperature sensor 310 installed inside the building 701 can be called an internal temperature sensor. Of the internal temperature sensors, the temperature sensor 310 that measures the temperature of the work area can be called a work area temperature sensor. The temperature sensor 310 installed outside the building 701 can be called an external temperature sensor.

[0039] The work area is a predetermined area in the building 701 where the worker 704 works, and is an area whose temperature is affected by the heat storage 707. The work area can be said to be a predetermined temperature-controlled position in the building 701. If the worker 704 works in the area, it is considered to be a work area even if the worker 704 is not present. The temperature measured by the temperature sensor 310 installed in a position near the work area, that is, the temperature measured by the temperature sensor 310 installed in a position near the place where the worker 704 works, can be said to be the temperature of the work area. The temperature of the work area is affected by the heat accumulated in the building structure such as the wall or floor around the work area in accordance with the amount of heat stored in the structure. Therefore, the amount of heat stored in the structure around the work area temperature sensor can be estimated from the air temperature measured by the work area temperature sensor.

[0040] That is, the heat accumulated in the building structure, such as the wall or floor, is released into the air near the building structure in accordance with the amount of heat stored, raising the air temperature. Therefore, the amount of heat accumulated in the building structure around the work area temperature sensor can be estimated from the air temperature measured by the work area temperature sensor. Furthermore, the effect of the night purge can be estimated based on how close the work area temperature sensor value is to the external temperature sensor value. That is, based on how close the work area temperature is to the outdoor air temperature, it is possible to estimate how much of the heat storage 707 in the building structure has been released, and when the work area temperature and the outdoor air temperature become the same temperature, it can be considered that all of the heat storage 707 in the work area building structure has been released.

[0041] 8 is a block diagram showing a functional configuration of the temperature sensor 310 of the ventilation control system 100 according to the embodiment 1. The temperature sensor 310 has a measurement unit 311, a sensor communication unit 312, a sensor storage unit 313, and a sensor control unit 314.

[0042] The measurement unit 311 measures the temperature of the location where the temperature sensor 310 is installed. Specifically, the measurement unit 311 measures the temperature of the air surrounding the location where the temperature sensor 310 is installed. The sensor communication unit 312 communicates with the control means 400. The sensor storage unit 313 stores various information used to control the temperature sensor 310. The sensor storage unit 313 stores location information of the location where the temperature sensor 310 is installed, which is device location information of the temperature sensor 310.

[0043] The sensor control unit 314 controls the operation of the temperature sensor 310. The sensor control unit 314 receives operation instruction information transmitted from the control means 400 via the sensor communication unit 312, and controls the operation of the temperature sensor 310 based on the operation instruction information. That is, the sensor control unit 314 controls the operation of starting and stopping the temperature sensor 310 based on the operation instruction information. The sensor control unit 314 transmits information on the measurement result in the measurement unit 311 to a control device control unit 403 (described later) of the control means 400 via the sensor communication unit 312. The measurement unit 311, the sensor communication unit 312, the sensor storage unit 313, and the sensor control unit 314 are capable of transmitting and receiving information to and from each other.

[0044] Based on the data acquired from the ventilation system 200 and the temperature sensor system 300, the control means 400 individually controls the operation of each component of the ventilation system 200 to perform a night purge that dissipates the heat storage 707 around the work area. At this time, whether the heat storage 707 has been sufficiently dissipated is determined based on how close the air temperature around the work area is to the outside air temperature. That is, based on the data acquired from the ventilation system 200 and the temperature sensor system 300, the control means 400 controls the exhaust ventilation fan 210, the supply ventilation fan 220, and the circulation blower 240 to bring the temperature of the work area closer to the outside air temperature. Based on the data acquired from the ventilation system 200 and the temperature sensor system 300, the control means 400 also individually controls the operation of each component of the ventilation system 200 to ventilate the inside of the building 701.

[0045] In addition, the control means 400 individually controls the operation of the components of the ventilation system 200 to release heat stored in the building structure surrounding the work area, thereby bringing the temperature of the work area closer to the outside air temperature, i.e., bringing the temperature of the work area closer to the outdoor air temperature, is called structure heat storage and release control.

[0046] FIG. 9 is a block diagram showing a functional configuration of the ventilation control device 410 of the control means 400 of the ventilation control system 100 according to the first embodiment.

[0047] The control means 400 includes a ventilation control device 410 and a memory device 420 .

[0048] The ventilation control device 410 controls the operation of the ventilation system 200, and controls ventilation control or night purge control inside the building 701 by the ventilation control system 100. The ventilation control device 410 includes a control device communication unit 401, a control device storage unit 402, and a control device control unit 403.

[0049] The control device communication unit 401 communicates with devices other than the control means 400 in the ventilation control system 100. The control device communication unit 401 communicates with the exhaust ventilation fan 210, the supply ventilation fan 220, the local exhaust ventilation fan 230, and the circulation blower 240 of the ventilation system 200 via the ventilation control I / F 260. The control device communication unit 401 also communicates with the temperature sensor 310 of the temperature sensor system 300.

[0050] The control device storage unit 402 stores various information used for controlling the entire ventilation control system 100, including the control of the ventilation control device 410.

[0051] The control device control unit 403 controls the overall operation of the ventilation control device 410, including the control of the ventilation control device 410. The control device control unit 403 controls a process of acquiring and storing equipment operation data indicating the operating state of each component device of the ventilation system 200, a process of acquiring and storing equipment position information indicating the position of each component device of the ventilation system 200, a process of acquiring and storing temperature data measured by each temperature sensor 310 of the temperature sensor system 300, and a process of acquiring and storing temperature position information indicating the position of each temperature sensor 310 of the temperature sensor system 300.

[0052] During the night purge, the control device control unit 403 controls the exhaust ventilation fan 210, the supply ventilation fan 220, and the circulation blower 240 based on the data obtained from the ventilation system 200 and the temperature sensor system 300 to bring the temperature of the work area closer to the outside air temperature.

[0053] The equipment operation data is data indicating the operation status of each component device of the ventilation system 200. The operation status of each component device of the ventilation system 200 can be said to be the operation conditions of each component device. The operation conditions of each component device include control conditions such as operation, stop, and air volume. The control unit of each component device of the ventilation system 200 transmits the equipment operation data to the control device control unit 403 at a predetermined cycle. The equipment operation data has different parameters required to represent the operation status depending on the device. The equipment operation data of each component device of the ventilation system 200 can be collectively referred to as the equipment operation data of the ventilation system 200. Details of the equipment operation data will be described later.

[0054] The equipment position information is the position information of the equipment included in the ventilation system 200. The equipment position information indicating the position of each component equipment of the ventilation system 200 is the position information of the equipment included in the ventilation system 200. The control unit of each component equipment of the ventilation system 200 can transmit the equipment position information to the control device control unit 403 together with the equipment operation data. In addition, the control device control unit 403 can also acquire the equipment position information stored in a database 430 described later.

[0055] The temperature data is data of temperature measured by each temperature sensor 310 of the temperature sensor system 300, and includes data of temperature measured by the temperature sensor 310 installed inside the building 701 and data of temperature measured by the temperature sensor 310 installed outside the building 701. The sensor control unit 314 of each temperature sensor 310 of the temperature sensor system 300 transmits the temperature data to the control device control unit 403 at a predetermined cycle.

[0056] The temperature position information is position information indicating the position of each temperature sensor 310 in the temperature sensor system 300, and can be said to be information on the position of the temperature measured by the temperature sensor 310 in the temperature sensor system 300. The sensor control unit 314 of each temperature sensor 310 in the temperature sensor system 300 can transmit the temperature position information together with the temperature data to the control device control unit 403. The control device control unit 403 can also acquire the temperature position information stored in a database 430 described later.

[0057] Based on the above acquired information, the control device control unit 403 also individually controls the operation of each component of the ventilation system 200 to perform a night purge that dissipates the heat storage 707 around the work area. At this time, whether the heat storage 707 has been sufficiently dissipated is determined based on how close the air temperature around the work area is to the outside air temperature. That is, based on the above acquired information, the control device control unit 403 controls the exhaust ventilation fan 210, the supply ventilation fan 220, and the circulation blower 240 to bring the temperature of the work area closer to the outside air temperature. Based on the above acquired information, the control device control unit 403 also individually controls the operation of each component of the ventilation system 200 to ventilate the inside of the building 701.

[0058] In other words, the control device control unit 403 can be said to function as a system control unit of the ventilation control system 100, which controls the operation of the ventilation system 200 to ventilate the interior of the building 701 or control night purge to dissipate heat stored in the heat 707 around the work area.

[0059] The storage device 420 is a storage unit that stores various information used for control of the ventilation system 200 by the ventilation control device 410. The storage device 420 has a database 430.

[0060] The database 430 stores various information acquired by the control device control unit 403 and used for controlling the ventilation system 200. deviceVarious information such as operation data, equipment location information, temperature data, and temperature location information is stored. In addition, the database 430 stores a plurality of different operation stop patterns used to individually control each component device of the ventilation system 200.

[0061] The operation / stop pattern is a control condition in which operation patterns such as operation, stop, and air volume are individually set for each component device of the ventilation system 200. Specifically, the operation / stop pattern is set by the control device control unit 403 as follows: device This is a control condition for individually controlling the operation of each of the components, the exhaust ventilation fan 210, the supply ventilation fan 220, and the circulation blower 240, in order to perform a night purge that dissipates the heat storage 707 around the work area based on the operation data, the equipment position information, the temperature data, and the temperature position information. At this time, whether the heat storage 707 has been sufficiently dissipated is determined based on how close the air temperature around the work area has become to the outside air temperature.

[0062] That is, the operation suspension pattern is a control condition under which the control device control unit 403 individually controls the operation of each component device of the ventilation system 200 based on the above acquired information so as to bring the temperature of the work area closer to the outside air temperature. device These are control conditions for performing night purging to promote dissipation of heat stored in the heat 707 around the work area inside the building 701, which are appropriate for a combination of operation data, equipment position information, temperature data, and temperature position information.

[0063] In the operation / stop pattern, for example, conditions of operation, stop, and air volume are set for the exhaust ventilation fan 210, the supply ventilation fan 220, and the circulation blower 240.

[0064] The control device control unit 403 can use the operation / stop patterns stored in the database 430 to individually control the operation or stop of the exhaust ventilation fan 210, the supply ventilation fan 220, and the circulation blower 240.

[0065] One method of inputting the equipment position information of the exhaust ventilation fan 210, the supply ventilation fan 220, the local exhaust ventilation fan 230, and the circulation blower 240 and the temperature position information which is the position information of the temperature sensor 310 into the database 430 is for a user to read the equipment position information of each component equipment and the temperature position information of each temperature sensor 310 from a factory construction drawing or the like, and store the read equipment position information and temperature position information in the database 430 via the ventilation control device 410. That is, the control device control unit 403 of the ventilation control device 410 stores the equipment position information and temperature position information inputted to the ventilation control device 410 in the database 430.

[0066] As another method, there is a method in which the control device control unit 403 receives equipment position information transmitted from each of the exhaust ventilation fan 210, the supply ventilation fan 220, the local exhaust ventilation fan 230, and the circulation blower 240, and stores the received equipment position information in the database 430. There is also a method in which the control device control unit 403 receives temperature position information transmitted from each temperature sensor 310, and stores the received temperature position information in the database 430.

[0067] In addition, device Various information used in the control of the ventilation system 200 by the ventilation control device 410, such as operation data, equipment position information, temperature data, temperature position information, and operation / shutdown patterns, may be stored in the control device memory unit 402 of the ventilation control device 410.

[0068] Here, the hardware configuration of the control means 400 will be described. Fig. 10 is a diagram showing an example of a hardware configuration realizing the control means 400 of the ventilation control system 100 according to the first embodiment. The ventilation control device 410 includes a processor 411, a memory 412, a control interface 413, a sensor interface 414, an input interface 415, and a display interface 416. The database 430 stores data necessary for control and setting values ​​for control as files 432.

[0069] The processor 411 is, for example, a central processing unit (CPU). The processor 411 is connected to other hardware of the ventilation control device 410 via a bus 417 or the like, and controls the hardware. The processor 411 reads out a program 431 from a database 430, loads it in a memory 412, and executes the program 431 loaded in the memory 412. The control I / F 413 is an I / F for controlling the exhaust ventilation fan 210, the supply ventilation fan 220, the local exhaust ventilation fan 230, and the circulation blower 240 via the ventilation control I / F 260. The sensor I / F 414 is an I / F for collecting data of the temperature sensor system 300. The input I / F 415 is an I / F for input devices such as a keyboard and a mouse. The display unit I / F 416 is an I / F for a display device such as a display.

[0070] Next, the information acquired by the control device control unit 403 will be described with reference to Fig. 1 and Fig. 4. First, the device position information of each component device of the ventilation system 200 will be described. The device position information of each component device of the ventilation system 200 is identified by using a two-letter abbreviation of each component device in English. composition machine The vessel If there are multiple addresses, they are identified by the third letter of the alphabet, such as A, B, C, etc.

[0071] The exhaust ventilation fan 210 is identified by the two-letter abbreviation "FE" for "Fan-Exhaust". The supply ventilation fan 220 is identified by the two-letter abbreviation "FS" for "Fan-Supply". The local exhaust ventilation fan 230 is identified by the two-letter abbreviation "FL" for "Fan-Local". The circulation blower 240 is identified by the two-letter abbreviation "FC" for "Fan-Circulation". The temperature sensor 310 installed inside the building 701 is identified by the two-letter abbreviation "SI" for "Sensor-Indoor". The temperature sensor 310 installed outdoors is identified by the two-letter abbreviation "SO" for "Sensor-Outdoor". The manufacturing equipment 703 is identified by the two-letter abbreviation "PE" for "Product-Equipment". The heat source device 706 is identified by "HS", which is the two-letter abbreviation of "Heat-Source". Similarly, the worker 704 is identified by "WP", which is the two-letter abbreviation of "Work-Person".

[0072] The device position information is represented by horizontal position information and vertical position information, and is given by XYZ coordinates with the upper left position of the floor surface 701b of the building in FIG. 1 and FIG. 4 as the origin. For example, the device position information of the exhaust ventilation fan 210A, which is the exhaust ventilation fan 210, is device Position coordinate P_FEA is expressed as (P_FEA_X, P_FEA_Y, P_FEA_Z). Moreover, equipment position coordinate P_FSA, which is equipment position information of supply air ventilation fan 220A, which is supply air ventilation fan 220, is expressed as (P_FSA_X, P_FSA_Y, P_FSA_Z). Note that although one supply air ventilation fan 220 is shown in Figs. 1 and 4, for ease of understanding, the alphabet A, which identifies multiple pieces of equipment, is used for explanation.

[0073] Next, the ventilation system 200 deviceThe operation data will be explained. The exhaust ventilation fan 210 exhausts the air inside the building 701 to the outdoors. Therefore, the equipment operation data indicating the operation status of the exhaust ventilation fan 210 is represented by the air volume and wind direction of the exhaust ventilation fan 210. For example, the air volume Q_FEA, which is the equipment operation data of the exhaust ventilation fan 210A, which is the exhaust ventilation fan 210, is represented by (Q1_FEA, QV_FEA_X, QV_FEA_Y, QV_FEA_Z). Q1_FEA is the absolute value of the air volume. (QV_FEA_X, QV_FEA_Y, QV_FEA_Z) is the wind direction vector of which the absolute value of the air volume is 1.

[0074] For example, in the case of an exhaust ventilation fan 210A installed on an exterior wall 701a of a building 701 such that the direction of the generated wind is perpendicular to the surface of the exterior wall 701a along the XZ plane, the equipment operation data of the exhaust ventilation fan 210A is Wind vector is (QV_FEA_X, QV_FEA_Y, QV_FEA_Z) = (0, -1, 0). The direction of the wind generated by exhaust ventilation fan 210A is from the inside of building 701 to the outside, so QV_FEA_Y is a negative value.

[0075] Generally, the direction of the ventilation fan is fixed, and the direction of the wind direction vector is fixed for each device. On the other hand, the ventilation fan has a variable air volume, and is operated by selecting from two air volumes, for example, strong operation and weak operation. In the case of a device in which the direction of the ventilation fan is fixed and the direction of the wind direction vector is fixed, the information on the wind direction vector can be stored in advance in the control device control unit 403 or the database 430.

[0076] The supply air ventilator 220 supplies outside air, which is the air outside the building 701, to the inside of the building 701. Thus, equipment operation data indicating the operation state of the supply air ventilator 220 is expressed by the air volume and wind direction of the supply air ventilator 220, similar to the exhaust air ventilator 210. For example, the air volume Q_FSA, which is the equipment operation data of the supply air ventilator 220A, which is the supply air ventilator 220, is expressed as (Q1_FSA, QV_FSA_X, QV_FSA_Y, QV_FSA_Z). Q1_FSA is the absolute value of the air volume. (QV_FSA_X, QV_FSA_Y, QV_FSA_Z) are wind direction vectors whose absolute value of the air volume is 1.

[0077] For example, in the case of an intake air ventilation fan 220A that is installed on an exterior wall 701a of a building 701 so that the direction of the wind generated is perpendicular to a surface of the exterior wall 701a along the YZ plane, the wind direction vector of the equipment operation data for the intake air ventilation fan 220A is (QV_FSA_X, QV_FSA_Y, QV_FSA_Z) = (1, 0, 0).

[0078] The local exhaust ventilation fan 230 exhausts the air inside the building 701 to the outside of the building 701 via the duct 231. The local exhaust ventilation fan 230 is installed inside the building 701, not on the wall of the building 701. The parameters of the equipment operation data indicating the operation state of the local exhaust ventilation fan 230 are expressed by the air volume and wind direction of the local exhaust ventilation fan 230, similar to the exhaust ventilation fan 210. For example, the air volume Q_FLA, which is the equipment operation data of the local exhaust ventilation fan 230A, which is the local exhaust ventilation fan 230, is expressed by (Q1_FLA, QV_FLA_X, QV_FLA_Y, QV_FLA_Z). Q1_FLA is the absolute value of the air volume. (QV_FLA_X, QV_FLA_Y, QV_FLA_Z) is the wind direction vector of the wind with the absolute value of the air volume being 1.

[0079] The equipment position information of the local exhaust ventilation fan 230 is defined by the position of the duct 231 that draws in air from inside the building 701. In general, the duct 231 of the local exhaust ventilation fan 230 is installed above the heat source device 706.

[0080] 1, when duct 231 is routed horizontally from above heat source device 706 to a surface of outer wall 701a of building 701 along the YZ plane to connect the inside of building 701 to the outdoors, air inside building 701 is exhausted upward, i.e., in the +Z direction. In this case, the wind direction vector of the equipment operation data of local exhaust ventilation fan 230 is (QV_FLA_X, QV_FLA_Y, QV_FLA_Z)=(0, 0, 1) because the direction in which air inside building 701 is sucked in is the +Z direction.

[0081] Furthermore, for example, when duct 231 is routed from inside building 701 to the top surface of building 701 (not shown) to connect the inside of building 701 to the outdoors, air inside building 701 is exhausted upward, i.e., in the +Z direction. In this case as well, the wind direction vector of the equipment operation data of local exhaust ventilation fan 230 is (QV_FLA_X, QV_FLA_Y, QV_FLA_Z)=(0, 0, 1) because the direction in which air inside building 701 is sucked in is the +Z direction.

[0082] The circulation fan 240 draws in air from inside the building 701 and circulates it inside the building 701. Equipment operation data indicating the operating state of the circulation fan 240 is expressed by the air volume and wind direction of the circulation fan 240, similar to the exhaust ventilation fan 210. For example, the air volume Q_FCA, which is the equipment operation data of the circulation fan 240A, which is the circulation fan 240, is expressed as (Q1_FCA, QV_FCA_X, QV_FCA_Y, QV_FCA_Z). Q1_FCA is the absolute value of the air volume. (QV_FCA_X, QV_FCA_Y, QV_FCA_Z) are wind direction vectors whose absolute value of the air volume is 1.

[0083] Although one circulation fan 240 is shown in FIG. 1 and FIG. 4, for ease of understanding, the alphabet A is used to distinguish a plurality of devices.

[0084] The circulation blower 240 may be capable of varying the wind direction vector. That is, the circulation blower 240 may have a wind direction variable function. When the circulation blower 240 has a wind direction variable function, both data of the air volume and the wind direction vector of the circulation blower 240 are transmitted from the circulation blower 240 to the control means 400 and transferred. In the case of a device in which the wind direction is fixed and the direction of the wind direction vector is fixed as described above, the information of the wind direction vector may be stored in the database 430 in advance. On the other hand, when the circulation blower 240 has a wind direction variable function, the direction of the wind direction vector is not fixed, so that both data of the air volume and the wind direction vector of the circulation blower 240 are transmitted from the circulation blower 240 to the control means 400 and transferred.

[0085] Next, the temperature position information will be described. Like the equipment position information, the temperature position information is represented by horizontal position information and vertical position information, and is given, for example, in XYZ coordinates with the upper left position of the building floor 701b in Figures 1 and 4 as the origin. For example, the temperature position coordinates P_SIA, which is the temperature position information of the temperature sensor 310A, which is the temperature sensor 310 installed inside the building 701, is expressed as (P_SIA_X, P_SIA_Y, P_SIA_Z).

[0086] Next, the temperature data will be described. The temperature data T_SI is data of a temperature measured by the temperature sensor 310 installed inside the building 701. For example, the temperature data T_SIA, which is the temperature data of the temperature sensor 310A, which is the temperature sensor 310 installed inside the building 701, is represented by, for example, (T_SIA).

[0087] The temperature data T_SO is data of a temperature measured by the temperature sensor 310 installed outside the building 701. For example, the temperature data T_SOC which is the temperature data of the temperature sensor 310C which is the temperature sensor 310 installed outside the building 701, is represented by, for example, (T_SOC).

[0088] Next, there will be described the operation of the night purge in the ventilation control system 100. Fig. 11 is a flowchart showing the procedure of the operation of the ventilation control system 100 according to the first embodiment.

[0089] In step S110, the equipment operation data and equipment position information of the ventilation system 200, and the temperature data and temperature position information of the temperature sensor system 300 are acquired. Specifically, the control device control unit 403 of the control means 400 acquires the equipment operation data and equipment position information of the ventilation system 200, and the temperature data and temperature position information of the temperature sensor system 300.

[0090] The control unit of each component device of the ventilation system 200 transmits device operation data to the control device control unit 403 at a predetermined cycle. The control unit of each component device of the ventilation system 200 also transmits device position information to the control device control unit 403 together with the device operation data. The sensor control unit 314 of each temperature sensor 310 of the temperature sensor system 300 also transmits temperature data to the control device control unit 403 at a predetermined cycle. The sensor control unit 314 of each temperature sensor 310 of the temperature sensor system 300 transmits temperature position information to the control device control unit 403 together with the temperature data.

[0091] The control device control unit 403 of the control means 400 can obtain equipment operation data and equipment position information of the ventilation system 200, and temperature data and temperature position information of the temperature sensor system 300, by receiving each piece of information transmitted from the ventilation system 200 and the temperature sensor system 300.

[0092] In step S120, an operation suspension pattern for controlling the operation of the ventilation system 200 is determined based on the information acquired by the control device control unit 403. Specifically, based on the equipment operation data and equipment position information acquired from the ventilation system 200 and the temperature data and temperature position information acquired from the temperature sensor system 300, the control device control unit 403 determines and selects an appropriate operation suspension pattern for controlling the temperature of the work area to approach the outside air temperature from a plurality of different operation suspension patterns stored in the database 430.

[0093] In step S130, the operation of the ventilation system 200 is individually controlled based on the determined operation stop pattern. Specifically, the control device control unit 403 individually controls the operation of each of the components of the exhaust ventilation fan 210, the supply ventilation fan 220, and the circulation blower 240 based on the determined operation stop pattern. In this way, the ventilation control system 100 can individually control the operation of each of the components of the ventilation system 200 to perform a night purge that dissipates the heat storage 707 around the work area, and can individually control the operation of each of the components of the ventilation system 200 so as to bring the temperature of the work area closer to the outside air temperature. At this time, whether the heat storage 707 has been sufficiently dissipated is determined based on how close the air temperature around the work area has come to the outside air temperature.

[0094] In the configuration example shown in FIG. 1, for example, the control device control unit 403 operates the exhaust ventilation fan 210A and the supply ventilation fan 220, which are arranged relatively close to the work area among the multiple exhaust ventilation fans 210. On the other hand, the control device control unit 403 performs control to stop the exhaust ventilation fan 210B and the exhaust ventilation fan 210C, which are arranged relatively far from the work area compared to the exhaust ventilation fan 210A among the multiple exhaust ventilation fans 210. As a result, the outside air taken in by the supply ventilation fan 220 is guided by the exhaust ventilation fan 210A, which is arranged relatively closer to the work area compared to the exhaust ventilation fan 210B and the exhaust ventilation fan 210C among the multiple exhaust ventilation fans 210, so that the outside air can be supplied to the work area and the periphery of the work area.

[0095] When exhaust ventilation fan 210B and exhaust ventilation fan 210C are operating, the outside air taken in from intake ventilation fan 220 is drawn in the -X direction from the work area, compared to when exhaust ventilation fan 210B and exhaust ventilation fan 210C are stopped. In this case, the amount of outside air supplied to the work area and its surroundings is less than when exhaust ventilation fan 210B and exhaust ventilation fan 210C are stopped, making it difficult to dissipate heat storage 707 in the work area and its surroundings.

[0096] However, by stopping the exhaust ventilation fan 210B and the exhaust ventilation fan 210C and operating the exhaust ventilation fan 210A and the supply ventilation fan 220, the outside air taken in from the supply ventilation fan 220 can be guided to the work area where the worker 704 works and the periphery of the work area. As a result, the accumulated heat 707 in the work area and the periphery of the work area can be dissipated by night purging. In addition, in the ventilation control system 100, by dissipating the accumulated heat 707 in the work area and the periphery of the work area by night purging, it is possible to prevent the temperature of the air in the work area where the worker 704 works from rising, and it is possible to reduce the power consumption of the air conditioning system to eliminate the uncomfortable state of the work area where the worker 704 works.

[0097] Therefore, in step S120, the control device control unit 403 determines and selects the above-mentioned operation shutdown pattern from a plurality of different operation shutdown patterns stored in the database 430.

[0098] Here, an example of a method for determining an operation suspension pattern will be described. In the control of the exhaust ventilation fans 210 by the control device control unit 403, it is assumed that the exhaust ventilation fans 210 are installed at multiple locations in the building 701, and the distances from the work area of ​​each of the multiple exhaust ventilation fans 210 are different. In this case, for example, the exhaust ventilation fans 210A installed at the location closest to the work area are stopped in order, and temperature data of the work area in multiple different operation suspension patterns is obtained.

[0099] The location of the work area where the worker 704 works needs to be input in advance to the control means 400 by a facility manager of the factory or the like. That is, the location information of the work area needs to be input in advance to the control means 400 by a facility manager of the factory or the like. At this time, as a method for setting the work area where the worker 704 works, there is a method in which one or more temperature sensors 310 installed near the location of the work area are selected, and the control means 400 recognizes the location of the selected temperature sensor 310 as the work area where the worker 704 works. That is, the control means 400 can store the location information of one or more temperature sensors 310 installed near the location of the work area as the location information of the work area.

[0100] The shutdown pattern is determined by comparing the temperature data from these temperature sensors 310 with the outside air temperature. The temperature data from one specific temperature sensor 310 to be referenced for comparison may be selected from the temperature data of one specific temperature sensor 310, or the average temperature of multiple temperature sensors 310, or the maximum or minimum temperature of multiple temperature sensors 310 may be used.

[0101] Then, the temperature data of the work area acquired in the plurality of operation suspension patterns is compared to determine the operation suspension pattern in which the deviation between the temperature of the work area where the worker 704 works and the outside air temperature is the smallest. Such an operation suspension pattern is determined by trial and error by a facility manager of the factory or the like. The plurality of different operation suspension patterns thus determined in advance are associated with combined data of equipment operation data, equipment position information, temperature data, and temperature position information and stored in the database 430. In addition, such an operation suspension pattern may be determined using machine learning, which will be described later.

[0102] 1 shows a case where one supply air ventilation fan 220 is provided in the building 701, but multiple supply air ventilation fans 220 may be provided in the building 701. The control device control unit 403 can determine whether to individually control the operation of the multiple supply air ventilation fans 220 depending on the distance from the work area, similar to the exhaust air ventilation fan 210.

[0103] For example, the supply air ventilation fans 220 are operated in order starting from the one closest to the work area, and different operation / stop patterns are considered for the supply air ventilation fans 220. Then, the temperature data for each of the operation / stop patterns is compared to determine the temperature of the work area where the worker 704 is present. and It is possible to determine the operation suspension pattern that results in the smallest deviation from the outside air temperature.

[0104] The circulation fan 240 can be operated only when it is determined to be necessary based on the temperature data from the temperature sensor 310. This reduces the amount of time that the circulation fan 240 is operated when it is not needed, thereby reducing the power consumption caused by the operation of the circulation fan 240.

[0105] As a criterion for determining whether to operate or stop the circulation fan 240, a threshold value can be set in advance for the temperature data of the temperature sensor 310. Then, the operation can be set to automatically switch to operation when the temperature data of the temperature sensor 310 exceeds the threshold. In this way, when an increase in air temperature caused by the heat storage 707 is detected, the circulation fan 240 around the place where the increase in air temperature is detected is operated to generate indoor air circulation, thereby promoting the dissipation of heat from the heat storage 707. In addition, the circulation fan 240 may be controlled to operate in accordance with the operation of the exhaust ventilation fan 210 and the supply ventilation fan 220. In addition, when the temperature data obtained from the temperature sensor system 300 indicates that the air temperature around the circulation fan 240 is lower than the air temperature at the blowing destination, the temperature sensor system 300 may be set to automatically switch the operation of the circulation fan 240 around the place where the increase in air temperature is detected, thereby promoting the dissipation of heat from the heat storage 707. In addition, when the temperature data obtained from the temperature sensor system 300 indicates that the air temperature around the circulation fan 240 is lower than the air temperature at the blowing destination, the temperature sensor system 300 may be set to automatically switch the operation of the circulation fan 240 around the place where the increase in air temperature is detected. temperature By controlling the operation of the circulation fan 240 when it is determined from the location information, it is possible to lower the temperature in the work area and reduce temperature unevenness within the building 701, thereby promoting the dissipation of heat from the heat storage 707.

[0106] If the temperature environment of the work area does not improve no matter what state the exhaust ventilation fan 210 and the intake ventilation fan 220 are operated in, there is a possibility that a hot spot due to stagnant air has occurred inside the building 701 or around the work area. In this case, the hot spot can be eliminated by using the circulation fan 240 with a variable air direction function to blow air in a direction toward the location where the hot spot has occurred. Eliminating the hot spot leads to eliminating the heat accumulation 707 at the location where the hot spot has occurred and around the location where the hot spot has occurred. The air direction of the circulation fan 240 can be controlled by the control device control unit 403 based on the temperature data and temperature position information obtained from the temperature sensor system 300.

[0107] As described above, in the ventilation control system 100 according to the first embodiment, the control device control unit 403 of the control means 400 individually controls the exhaust ventilation fan 210, the supply ventilation fan 220, and the circulation blower 240 using the equipment operation data and equipment position information of the ventilation system 200, the temperature data and temperature position information of the temperature sensor system 300, and the position information of the work area where the worker 704 works. As a result, in the ventilation control system 100, a night purge is performed inside the building 701 to promote the dissipation of heat stored in heat 707 around the work area, thereby preventing a rise in temperature in the work area, improving the temperature environment in the work area where the worker 704 works, and reducing the power consumption of the air conditioning system.

[0108] That is, in the ventilation control system 100, the operation or stopping of ventilation fans such as the exhaust ventilation fan 210 and the supply ventilation fan 220 is not uniformly controlled for the entire building 701. In the ventilation control system 100, an appropriate ventilation flow from intake to exhaust is created by individually controlling each ventilation fan, and heat stored 707 stored in the building structures such as the floor, walls, and ceiling around the place where the worker 704 works, which is the work area, is dissipated by night purging, thereby preventing a rise in temperature in the work area or eliminating the need to cool excess heat with an air conditioning system, thereby reducing the air conditioning load.

[0109] In the above, the local exhaust ventilation fan 230 may be operated instead of the exhaust ventilation fan 210.

[0110] Therefore, the ventilation control system 100 according to the first embodiment has an effect of preventing a temperature rise in the work area by performing a night purge inside the building 701 to promote the dissipation of heat stored in heat 707 around the work area. That is, the ventilation control system 100 has an effect of preventing a temperature rise in the work area where the worker 704 works, which is caused by the heat stored in the building structure. As a result, the ventilation control system 100 can improve the temperature environment in the work area where the worker 704, who is a user of the ventilation control system 100, works, reduce the power consumption of the air conditioning system that conditions the air in the building, and reduce the workload related to the stop of operation of the ventilation system 200.

[0111] Embodiment 2 In the second embodiment, another control method for the night purge in the ventilation control system will be described.

[0112] In the second embodiment, the manufacturing equipment 703 is operated only during a predetermined production time period. The production time period is a predetermined time period during which the manufacturing equipment 703 produces products. The production time period is, for example, a time period between 9:00 and 17:00. That is, the manufacturing equipment 703 is operated during a time period between 9:00 and 17:00.

[0113] Meanwhile, each component of the ventilation system 200 is used for ventilation of the building 701 during the production time slot and for night purging of the building 701 during the standby time slot. The standby time slot is a time slot during which the manufacturing equipment 703 does not produce products and is a time slot other than the production time slot in a day. The standby time slot is, for example, a time slot between 5:00 pm and 9:00 am. That is, each component of the ventilation system 200 is used not only during the production time slot but also during the standby time slot other than the production time slot.

[0114] When the outside air temperature during standby hours at night is lower than the indoor temperature, night ventilation is performed to replace the air inside the building 701 with the outside air, and a night purge is performed to release the stored heat 707 stored in the building 701 structure, thereby reducing power consumption for cooling the building 701 during the day. In other words, when the outside air temperature during standby hours at night is lower than the indoor temperature, night purge is performed during standby hours at night to reduce power consumption for cooling operation of the air conditioning system to eliminate uncomfortable conditions in the work area during production hours.

[0115] For this reason, it is preferable to carry out night purging so that the total value of the night ventilation electricity used for night purging during the nighttime standby period and the daytime ventilation air conditioning electricity used for ventilation and air conditioning within building 701 during the daytime production period the following day is minimized.

[0116] The ventilation and air conditioning within the building 701 during the daytime production hours is performed by the ventilation system 200 for ventilation of the building 701 during the daytime production hours, and by the air conditioner 250 for air conditioning of the building 701 during the daytime production hours.

[0117] The night ventilation power amount is the power consumption of the ventilation system 200 operating during the night purge during the standby period at night. The power consumption of the ventilation system 200 is the sum of the power consumption of each component device of the ventilation system 200. Therefore, the night ventilation power amount is the sum of the power consumption of each component device of the ventilation system 200 operating during the night purge at night.

[0118] The daytime ventilation air conditioning power amount is the sum of the power consumption of the ventilation system 200 and the air conditioner 250 operating in ventilation and air conditioning during the daytime production hours after the nighttime. Therefore, the daytime ventilation air conditioning power amount is the sum of the power consumption of each component of the ventilation system 200 operating in ventilation of the building 701 in the daytime, and the power consumption of the air conditioner 250 operating in air conditioning of the building 701 in the daytime. The power consumption of the air conditioner 250 here is the power consumption in cooling operation of the air conditioner 250.

[0119] The total ventilation power amount is the sum of the nighttime ventilation power amount during the standby period at night and the daytime ventilation air conditioning power amount the next day. Hereinafter, data on the total ventilation power amount will be referred to as total ventilation power amount data.

[0120] Here, the effect of the night purge varies depending on nighttime weather conditions such as the nighttime temperature. That is, when the nighttime minimum temperature is relatively high, the effect of the night purge is relatively small. On the other hand, when the nighttime minimum temperature is relatively low, the effect of the night purge is relatively large.

[0121] In addition, the amount of daytime ventilation air conditioning power used for ventilation air conditioning during daytime production hours varies depending on daytime weather conditions such as daytime temperature, or production conditions such as production power used to produce products in manufacturing equipment 703.

[0122] 12 is a block diagram showing a functional configuration of a ventilation control system 100a according to embodiment 2. The ventilation control system 100a according to embodiment 2 has the same functions as the ventilation control system 100 according to embodiment 1. Therefore, the ventilation control system 100a according to embodiment 2 has the same effects as the ventilation control system 100 according to embodiment 1.

[0123] Moreover, the ventilation control system 100a according to the second embodiment includes a power meter interface 270 in addition to the configuration of the ventilation control system 100 according to the first embodiment. Hereinafter, the power meter interface 270 is abbreviated as power meter I / F270.

[0124] The power meter I / F 270 mediates between the ventilation system 200 and a power meter 710 that is provided outside the ventilation control system 100a and collects data on the amount of power consumed by the ventilation system 200. The power meter I / F 270 is electrically connected to each component of the ventilation system 200.

[0125] The power meter 710 is installed in the monitored device or a distribution board that supplies power to the monitored device, and measures and collects the amount of power consumed by the monitored device. The monitored devices here are each of the components of the ventilation system 200. A general power meter can be used for the power meter 710. The power meter 710 is electrically connected to the power meter I / F 270. The power meter 710 measures the amount of power consumed by each of the components of the ventilation system 200 in operation via the power meter I / F 270. The power meter 710 transmits the measurement results, that is, information on the amount of power consumed by each of the components of the ventilation system 200 in operation, that is, power consumption data of the ventilation system 200, which is data on the amount of power consumed by the ventilation system 200 in operation, to the control device control unit 403 of the control means 400.

[0126] Furthermore, the power meter 710 can measure and collect the amount of power consumed in the air conditioner 250, with the air conditioner 250 as the monitored device. The power meter 710 can measure the amount of power consumed by the operating air conditioner 250 via the power meter I / F 270. The power meter 710 can transmit information on the amount of power consumed by the operating air conditioner 250, which is the measurement result, i.e., power consumption data of the air conditioner 250, which is data on the amount of power consumed by the operating air conditioner 250, to the control device control unit 403 of the control means 400.

[0127] The control device control unit 403 receives and stores power consumption data of the ventilation system 200, which is data on the amount of power consumed by each component of the operating ventilation system 200, which is the measurement result transmitted from the power meter 710. The control device control unit 403 may also store in the database 430 the data on the amount of power consumed by each component of the operating ventilation system 200, which is received from the power meter 710.

[0128] The purpose of installing the power meter I / F 270 is to act as an intermediary between the power meter 710, which collects power consumption data of each component of the ventilation system 200, which is a monitored device, and each component of the ventilation system 200, to enable collection of data on the amount of power consumed by the ventilation system 200. In other words, the power meter I / F 270 is provided to measure and collect the power consumption of the ventilation system 200. The power meter I / F 270 may be installed in each component of the ventilation system 200, or may be installed in something similar to a switchboard that supplies power to each component of the ventilation system 200.

[0129] In the ventilation control system 100a according to the second embodiment, it is possible to collect data on the amount of power consumed by the ventilation system 200. Therefore, the control device control unit 403 of the control means 400 can select an operation stop pattern of the ventilation system 200 that minimizes the total ventilation power consumption of the ventilation system 200. As a result, in the ventilation control system 100a, a high energy saving effect can be obtained while suppressing a temperature rise in the work area where the worker 704 works.

[0130] For example, the control device control unit 403 selects an operation suspension pattern in which the total ventilation power amount, which is the sum of the night ventilation power amount and the daytime ventilation air conditioning power amount on the next day, is minimized from among several operation suspension patterns of the ventilation system 200 in which the difference between the temperature of the work area in the building 701 where the worker 704 works and the outside air temperature is smaller than a predetermined state. That is, the control device control unit 403 calculates the temperature difference between the temperature of the work area in the building 701 and the outside air temperature. Then, the control device control unit 403 selects an operation suspension pattern in which the total ventilation power amount, which is the sum of the night ventilation power amount and the daytime ventilation air conditioning power amount on the next day, is minimized from a group of operation suspension patterns of the ventilation system 200 in which the calculated temperature difference falls within a predetermined temperature difference range.

[0131] Next, the operation of the ventilation control system 100a will be described. Fig. 13 is a flowchart showing the procedure of the operation of the ventilation control system 100a according to the second embodiment.

[0132] In step S210, the equipment operation data of the ventilation system 200, the equipment operation time data and the equipment position information corresponding to the acquisition time of the equipment operation data, the temperature data of the temperature sensor system 300, the temperature time data and the temperature position information corresponding to the acquisition time of the temperature data, and the total ventilation power amount data which is the power consumption data are acquired. Specifically, the control device control unit 403 of the control means 400 acquires the equipment operation data of the ventilation system 200, the equipment operation time data and the equipment position information corresponding to the acquisition time of the equipment operation data, the temperature data of the temperature sensor system 300, the temperature time data and the temperature position information corresponding to the acquisition time of the temperature data, and the total ventilation power amount data.

[0133] The equipment operation time data corresponding to the acquisition time of the equipment operation data is information on the time when the control device control unit 403 of the control means 400 received the equipment operation data transmitted from the control unit of each component of the ventilation system 200. The control device control unit 403 of the control means 400 associates the information on the time when the equipment operation data transmitted from the control unit of each component of the ventilation system 200 was received with the equipment operation data and stores it as equipment operation time data. This allows the control device control unit 403 of the control means 400 to acquire equipment operation time data corresponding to the acquisition time of the equipment operation data. The control device control unit 403 stores the information on the time when the equipment operation data was received from the control unit of each component of the ventilation system 200 as equipment operation time data. time Based on the time of day indicated in the data, it can be determined whether it is currently during a nighttime period or a daytime period.

[0134] The temperature time data corresponding to the acquisition time of the temperature data is information on the time when the control device control unit 403 of the control means 400 received the temperature data transmitted from the sensor control unit 314 of each temperature sensor 310 of the temperature sensor system 300. The control device control unit 403 of the control means 400 associates the information on the time when the temperature data transmitted from the sensor control unit 314 of each temperature sensor 310 of the temperature sensor system 300 was received with the temperature data and stores the information as temperature time data. This allows the control device control unit 403 of the control means 400 to acquire the temperature time data corresponding to the acquisition time of the temperature data. The control device control unit 403 can determine whether the current time is a nighttime time zone or a daytime time zone based on the time indicated in the temperature time data.

[0135] The total ventilation power data is power consumption data which is the sum of the nighttime ventilation power consumption, which is the power consumption of the ventilation system 200 operated by structural heat storage and release control during the nighttime hours, the sum of the power consumption of the components of the ventilation system 200 operated to ventilate the building 701 during the daytime hours, and the daytime ventilation air conditioning power consumption, which is the sum of the power consumption of the air conditioner 250 operated to air-condition the building 701 during the daytime hours.

[0136] Here, the daytime ventilation air-conditioning power amount, which is the sum of the power consumption of the air conditioners 250, may be the actual measured value of the power consumption of the air conditioner 250 measured by the power meter 710, or may be a predetermined power consumption of the air conditioner 250. The actual measured value of the power consumption of the air conditioner 250 is transmitted from the power meter 710 to the control device control unit 403. Furthermore, the predetermined power consumption of the air conditioner 250 is input to the control device control unit 403 from input devices such as a keyboard and mouse of the ventilation control device 410 via the input I / F 415, and is stored in advance in the control device control unit 403 or the control device storage unit 402.

[0137] In step S220, an operation suspension pattern for controlling the operation of the ventilation system 200 is determined based on the information acquired by the control device control unit 403. Specifically, the control device control unit 403 determines and selects an appropriate operation suspension pattern from a plurality of different operation suspension patterns stored in the database 430 for controlling the temperature of the work area to approach the outside air temperature based on the equipment operation data and equipment position information acquired from the ventilation system 200, the temperature data and temperature position information acquired from the temperature sensor system 300, and the total ventilation power amount of the ventilation system 200.

[0138] Here, the control device control unit 403 selects an operation shutdown pattern that minimizes the total ventilation power consumption of the ventilation system 200 from among multiple operation shutdown patterns of the ventilation system 200 in which the temperature difference between the temperature of the work area inside the building 701 and the outside air temperature falls within a predetermined temperature difference range.

[0139] In step S230, the operation of ventilation system 200 is individually controlled based on the determined operation suspension pattern. Specifically, control device control unit 403 individually controls the operation of each of the components of exhaust ventilation fan 210, supply ventilation fan 220, and circulation blower 240 based on the determined operation suspension pattern. That is, control device control unit 403 individually controls the operation of the components of ventilation system 200 to bring the temperature of the work area closer to the outside air temperature and to minimize the total ventilation power consumption of ventilation system 200.

[0140] Here, the control performed in step S230 to minimize the total ventilation power consumption of the ventilation system 200 can be rephrased as control to reduce the amount of power used per unit time in the work area during the nighttime hours and the daytime hours after the nighttime hours.

[0141] As described above, the control device control unit 403 of the control means 400 of the ventilation control system 100a according to the second embodiment individually controls the operation of the constituent devices of the ventilation control system 100a based on the equipment operation data, equipment operation time data and equipment position information corresponding to the time the equipment operation data was acquired, temperature data, temperature time data and temperature position information corresponding to the time the temperature data was acquired, and power consumption data obtained from the power meter 710 that measures the power consumption of the ventilation control system 100a, thereby performing control to reduce the amount of power used per unit time in the work area during the nighttime hours and the daytime hours after the nighttime hours.

[0142] The power consumption data is data on total ventilation power consumption, which is the sum of nighttime ventilation power consumption, which is the power consumption of the ventilation system operating by structural heat storage and release control during the nighttime hours, the sum of the power consumption of the components of the ventilation system operating to ventilate the building 701 during the daytime hours, and daytime ventilation air conditioning power consumption, which is the sum of the power consumption of the air conditioners operating to air-condition the building 701 during the daytime hours.

[0143] As described above, the ventilation control system 100a according to the second embodiment has the same effects as the ventilation control system 100 according to the first embodiment.

[0144] Moreover, the ventilation control system 100a can achieve a high energy saving effect while suppressing the temperature rise in the work area where the worker 704 works.

[0145] Embodiment 3 <Learning Phase> FIG. 14 is a block diagram showing a configuration of a learning device 800 according to the third embodiment. The learning device 800 is a computer that generates a trained model 830 based on the operation stop conditions of the ventilation system 200 used for ventilation control inside an actual building 701 and the control results acquired during ventilation or night purging inside the actual building 701, and learns the operation stop conditions that control the operation of the components of the ventilation system 200 that can prevent a temperature rise in the work area by performing a night purging to promote the dissipation of heat storage 707 around the work area inside the building 701. The control results include temperature data and temperature position information obtained from the temperature sensor system 300. The trained model storage unit 900 stores the trained model 830 generated by the learning device 800.

[0146] The learning device 800 includes a first data acquisition unit 810 and a model generation unit 820.

[0147] The first data acquisition section 810 acquires a ventilation control estimation parameter Prm1 and a ventilation operation stop control parameter Prm2 as learning data.

[0148] The ventilation control estimation parameter Prm1 includes at least temperature data and temperature position information obtained from the temperature sensor system 300. Of the information acquired by the first data acquisition unit 810 as the ventilation control estimation parameter Prm1, information other than the temperature data and temperature position information acquired from the temperature sensor system 300 varies depending on the ventilation control system in which the learning device 800 is used.

[0149] The ventilation operation stop control parameter Prm2 includes equipment operation data and equipment position information of the ventilation system 200 obtained from the ventilation system 200. The ventilation operation stop control parameter Prm2 can be said to be an operation stop condition of each equipment of the ventilation system 200, and also a control condition of each of the constituent equipment of the ventilation system 200.

[0150] The model generation unit 820 learns the ventilation operation / stop control parameter Prm2 based on learning data including the ventilation control estimated parameter Prm1 and the ventilation operation / stop control parameter Prm2. That is, the model generation unit 820 generates a learned model 830 that infers the ventilation operation / stop control parameter Prm2 that can bring the temperature of the work area closer to the outside air temperature and prevent a temperature rise in the work area by performing a night purge for promoting heat dissipation of the heat storage 707 around the work area inside the building 701, from the ventilation control estimated parameter Prm1 and the ventilation operation / stop control parameter Prm2.

[0151] Therefore, it can be said that the model generation unit 820 learns the operation stop conditions of the individual devices of the ventilation system 200 based on the learning data including the ventilation control estimation parameter Prm1 and the ventilation operation stop control parameter Prm2. In other words, it can be said that the model generation unit 820 generates a trained model 830 that infers the operation stop conditions of the individual devices of the ventilation system 200 that can prevent a temperature rise in the work area by performing a night purge to promote heat dissipation of the heat storage 707 around the work area inside the building 701 from the ventilation control estimation parameter Prm1 and the ventilation operation stop control parameter Prm2.

[0152] The learning algorithm used by the model generation unit 820 may be a known algorithm such as supervised learning, unsupervised learning, reinforcement learning, etc. As an example, a case where reinforcement learning is applied will be described.

[0153] In reinforcement learning, an agent (acting subject) in a certain environment observes the current state (environmental parameters) and decides on the action to be taken. The environment changes dynamically due to the agent's actions, and the agent is given a reward according to the changes in the environment. The agent repeats this process and learns the course of action that will obtain the most reward through a series of actions. Q-learning and TD-learning are known as representative methods of reinforcement learning. For example, in the case of Q-learning, the general update formula for the action value function Q(s,a) is expressed as the following equation (1).

[0154]

number

[0155] In formula (1), s t represents the state of the environment at time t, and a t represents the action at time t. Action a t The state of the environment is s t+1 Changes to r t+1 represents the reward that can be obtained by the change in state, γ represents the discount rate, and α represents the learning coefficient. Note that γ is in the range of 0<γ≦1, and α is in the range of 0<α≦1. When the ventilation operation / stop control parameter Prm2 is the behavior a t The ventilation control estimated parameter Prm1 is in the state s t The learning device 800 is in the state s t Best Practices in a t Learn.

[0156] The update formula expressed by formula (1) increases the action value Q if the action value Q of the action a with the highest Q value at time t+1 is greater than the action value Q of the action a executed at time t, and decreases the action value Q in the opposite case. In other words, the learning device 800 updates the action value function Q(s, a) so that the action value Q of the action a at time t approaches the best action value Q at time t+1. As a result, the best action value Q in a certain environment is propagated sequentially to the action value Q in the previous environment.

[0157] As described above, when the model generation unit 820 generates the trained model 830 by reinforcement learning, the model generation unit 820 includes a reward calculation unit 821 and a function update unit 822.

[0158] The reward calculation unit 821 calculates the reward for the ventilation operation stop control parameter Prm2 based on the ventilation operation stop control parameter Prm2 (action) and the ventilation control estimation parameter Prm1 (state). For example, the reward calculation unit 821 calculates the reward r based on the degree of deviation between the outside air temperature and the temperature of the work area indicated by the temperature data obtained from the temperature sensor system 300. For example, the reward calculation unit 821 increases the reward r (for example, gives a reward of "1") when the degree of deviation between the outside air temperature and the temperature in the work area indicated by the temperature data obtained from the temperature sensor system 300 decreases compared to the previous time, and decreases the reward r (for example, gives a reward of "-1") when the degree of deviation between the outside air temperature and the temperature of the work area indicated by the temperature data obtained from the temperature sensor system 300 increases compared to the previous time.

[0159] The reward calculation unit 821 stores a threshold value 831, which is a reference value for determining whether to increase or decrease the reward for the applied ventilation operation stop control parameter Prm2 by comparing with the above-mentioned deviation degree. The threshold value 831 can be changed to an arbitrary value by the user setting the value in the learning device 800.

[0160] In the case of the learning device 800 used in the ventilation control system 100a according to the second embodiment, the reward may be calculated using the power consumption data. The reward calculation unit 821 calculates the reward based on the ventilation operation stop control parameter Prm2 (action) and the ventilation control estimation parameter Prm1 (state). The reward calculation unit 821 calculates the reward r based on the above-mentioned degree of deviation.

[0161] For example, the reward calculation unit 821 increases the reward r (e.g., gives a reward of "1") when the degree of deviation described above decreases compared to the previous time, and decreases the reward r (e.g., gives a reward of "-1") when the degree of deviation described above increases compared to the previous time.

[0162] Furthermore, when the degree of deviation described above is within a predetermined reference range, the remuneration calculation unit 821 further calculates the remuneration r using the total ventilation power amount described above. The total ventilation power amount is the sum of the night ventilation power amount during the standby period at night and the daytime ventilation air conditioning power amount the next day. Total If the total ventilation power amount decreases compared to the previous time, the reward r is increased (for example, a reward of "1" is given). On the other hand, if the total ventilation power amount increases compared to the previous time, the reward r is decreased (for example, a reward of "-1" is given).

[0163] In the case of the learning device 800 used in the ventilation control system 100a according to the second embodiment, the first data acquisition unit 810 acquires temperature data, temperature time data, temperature position information, and power consumption data as the ventilation control estimation parameter Prm1 of the learning data. Operation As the stop control parameters Prm2, the equipment operation data, the equipment operation time data, and the equipment position information are acquired.

[0164] The effect of night purging also varies depending on nighttime weather conditions such as the nighttime temperature. That is, when the nighttime minimum temperature is relatively high, the effect of night purging is relatively small. On the other hand, when the nighttime minimum temperature is relatively low, the effect of night purging is relatively large. The amount of daytime ventilation and air conditioning power used for ventilation and air conditioning during daytime production hours also varies depending on daytime weather conditions such as the daytime temperature, or production conditions such as the production power used to produce products in manufacturing equipment 703.

[0165] For this reason, when calculating the reward using power consumption data in the learning device 800 used in the ventilation control system 100a of embodiment 2, it is preferable to calculate the reward by further taking into account nighttime weather conditions, daytime weather conditions, and production conditions.

[0166] In this case, in the case of the learning device 800 used in the ventilation control system 100a according to the second embodiment, the first data acquisition unit 810 further acquires, as the ventilation control estimation parameter Prm1 of the learning data, in addition to temperature data, temperature time data, temperature position information, and data on the total ventilation power amount which is power consumption data, nighttime weather conditions, daytime weather conditions, and production conditions. Work As the stop control parameters Prm2, device operation data, device operation time data, and device position information are acquired.

[0167] The reward calculation unit 821 then calculates the reward for the ventilation operation stop control parameter Prm2 based on the ventilation operation stop control parameter Prm2 (action) and the ventilation control estimated parameter Prm1 (state). For example, the reward calculation unit 821 calculates the reward r based on the degree of deviation between the outside air temperature and the temperature of the work area indicated by the temperature data obtained from the temperature sensor system 300. For example, the reward calculation unit 821 increases the reward r (for example, gives a reward of "1") when the degree of deviation between the outside air temperature and the temperature in the work area indicated by the temperature data obtained from the temperature sensor system 300 decreases compared to the previous time, and decreases the reward r (for example, gives a reward of "-1") when the degree of deviation between the outside air temperature and the temperature of the work area indicated by the temperature data obtained from the temperature sensor system 300 increases compared to the previous time.

[0168] Furthermore, the reward calculation unit 821 groups multiple sets of learning data based on combinations of nighttime climate conditions, daytime climate conditions, and production conditions, and when the nighttime ventilation control conditions in the same group are such that the total ventilation power, which is the sum of the nighttime ventilation power and the daytime ventilation air conditioning power of the next day, is smaller than the average value in the same group, the reward calculation unit 821 increases the reward r for the ventilation operation stop control parameter Prm2 and increases the action value Q of the nighttime ventilation control condition. The nighttime ventilation control condition is an operation stop condition that is a control condition for performing night purging.

[0169] That is, the reward calculation unit 821 creates a condition set that combines one nighttime climate condition, one daytime climate condition, and one production condition.The reward calculation unit 821 then creates a group including multiple nighttime ventilation control conditions of different conditions corresponding to each condition set.The reward calculation unit 821 then increases the reward r for the nighttime ventilation control condition in the same group for which the total ventilation power, which is the sum of the nighttime ventilation power and the daytime ventilation air-conditioning power of the next day, is smaller than the average value in the same group, thereby increasing the action value Q of the nighttime ventilation control condition.

[0170] The function update unit 822 updates a function for determining a ventilation operation stop control parameter Prm2, which is a condition for stopping the operation of an individual device of the ventilation system 200 next time, based on the reward calculated by the reward calculation unit 821, and outputs the updated function to the trained model storage unit 900. For example, in the case of Q-learning, the function update unit 822 updates the action value function Q(s t ,a t ) is used as a function to calculate the ventilation operation stop control parameter Prm2, which is the operation stop condition. t ,a t ) can be said to be an operation stop condition generating function for calculating the operation stop conditions.

[0171] The learning device 800 repeatedly executes the above-described learning. The learned model storage unit 900 stores the action-value function Q(s t ,a t), i.e., the trained model 830 is stored.

[0172] Next, a procedure of the learning process performed by the learning device 800 will be described with reference to Fig. 15. Fig. 15 is a flowchart showing the procedure of the learning process performed by the learning device 800 according to the third embodiment.

[0173] In step S310, the first data acquisition section 810 acquires the ventilation control estimation parameter Prm1 and the ventilation operation stop control parameter Prm2 as learning data.

[0174] In the case of the learning device 800 used in the ventilation control system 100 according to the first embodiment, the first data acquisition unit 810 acquires the temperature data and temperature position information obtained from the temperature sensor system 300 as the ventilation control estimation parameter Prm1.

[0175] In the case of the learning device 800 used in the ventilation control system 100a according to the second embodiment, the first data acquisition unit 810 acquires, as the ventilation control estimation parameter Prm1, temperature data, temperature time data, and temperature position information obtained from the temperature sensor system 300, and power consumption data. Operation As the stop control parameters Prm2, the equipment operation data, the equipment operation time data, and the equipment position information are acquired.

[0176] In step S320, the model generation unit 820 calculates a reward for the ventilation operation stop control parameter Prm2, which is the applied operation stop condition, based on the ventilation control estimation parameter Prm1 and the ventilation operation stop control parameter Prm2. Specifically, the reward calculation unit 821 calculates a reward r based on a threshold value 831, which is a predetermined reward standard. The reward calculation unit 821 determines whether to increase or decrease the reward for the applied operation stop condition, based on the threshold value 831 and the degree of deviation between the outside air temperature and the temperature in the work area indicated by the temperature data obtained from the temperature sensor system 300.

[0177] When the reward calculation unit 821 determines to increase the reward (step S320, reward increase criterion), it increases the reward in step S330. On the other hand, when the reward calculation unit 821 determines to decrease the reward (step S320, reward decrease criterion), it decreases the reward in step S340.

[0178] In step S350, the function update unit 822 updates the action value function Q(s t ,a t ) to update the

[0179] The learning device 800 repeatedly executes the above steps S310 to S350, and generates the action-value function Q(s t ,a t ) is stored in the trained model storage unit 900 as the trained model 830.

[0180] The learning device 800 used in the ventilation control system 100 of embodiment 1 is realized as a learning device including a first data acquisition unit 810 that acquires learning data including equipment operation data and equipment position information, as well as temperature data and temperature position information, and a model generation unit 820 that uses the learning data to generate a trained model 830 from the temperature data and temperature position information to individually control the operation of the constituent equipment of the ventilation system 200 to perform night purging and to bring the temperature of the work area closer to the outside air temperature.

[0181] The learning device 800 used in the ventilation control system 100a of embodiment 2 is realized as a learning device including a first data acquisition unit 810 that acquires learning data including equipment operation data, equipment operation time data, and equipment location information, temperature data, temperature time data, temperature location information, and power consumption data, and a model generation unit 820 that uses the learning data to generate a trained model 830 from the equipment operation data, equipment operation time data, and equipment location information, and the power consumption data to individually control the operation of the constituent equipment of the ventilation system 200 and release heat stored in the structure of the building 701 around the work area, thereby bringing the temperature of the work area closer to the outside air temperature and minimizing the data of the total ventilation power consumption.

[0182] In addition, although the learning device 800 of embodiment 3 stores the trained model 830 in a trained model memory unit 900 provided outside the learning device 800, the trained model memory unit 900 may be arranged inside the learning device 800.

[0183] The learning device 800 calculates an action value function Q(s t ,a t By generating a trained model 830 of the ventilation control estimation parameter Prm1, it is possible to learn the relationship between the ventilation control estimation parameter Prm1 and the ventilation operation stop control parameter Prm2 corresponding to the ventilation control estimation parameter Prm1 in order to infer the ventilation operation stop control parameter Prm2 that can prevent a rise in temperature in the work area by performing a night purge inside the building 701 to promote heat dissipation from the heat storage 707 around the work area.

[0184] <Utilization phase> 16 is a block diagram showing a configuration of an inference device according to embodiment 3. The inference device 1000 is a computer that uses a trained model 830 to infer, from a ventilation control estimation parameter Prm1, a ventilation operation stop control parameter Prm2 that can prevent a temperature rise in the work area by performing a night purge inside a building 701 to promote the dissipation of heat stored in heat 707 around the work area.

[0185] The inference device 1000 includes a second data acquisition unit 1010 and an inference unit 1020. The second data acquisition unit 1010 acquires a ventilation control estimation parameter Prm1. The inference unit 1020 infers a ventilation operation stop control parameter Prm2 using the learned model 830, and outputs the inferred ventilation operation stop control parameter Prm2 to the control device control unit 403 of the control means 400 as the ventilation operation stop control parameter Prm2. That is, the inference unit 1020 can infer a ventilation operation stop control parameter Prm2 suitable for the ventilation control estimation parameter Prm1 by inputting the ventilation control estimation parameter Prm1 acquired by the second data acquisition unit 1010 to the learned model 830. The ventilation operation stop control parameter Prm2 suitable for the ventilation control estimation parameter Prm1 can be said to be the ventilation operation stop control parameter Prm2 that reduces the degree of deviation described above. The inference device 1000 can also be disposed outside the ventilation control system. The second data acquisition section 1010 may be common to the first data acquisition section 810. Alternatively, the second data acquisition section 1010 may be provided separately from the first data acquisition section 810.

[0186] In addition, in embodiment 3, a case has been described in which the inference device 1000 infers the ventilation operation stop control parameter Prm2 using the trained model 830 trained by the model generation unit 820. However, the inference device 1000 may also obtain the trained model 830 from a learning device other than the learning device 800, and infer the ventilation operation stop control parameter Prm2 based on this trained model 830.

[0187] Next, a processing procedure of the process in which the inference device 1000 infers the ventilation operation stop control parameter Prm2 will be described with reference to Fig. 17. Fig. 17 is a flowchart showing the processing procedure of the inference process by the inference device 1000 and the control process by the ventilation control device 410 according to the third embodiment.

[0188] In step S410, the second data acquisition unit 1010 acquires the ventilation control estimation parameter Prm1 as inference data. The inference unit 1020 used in the ventilation control system 100 according to the first embodiment acquires temperature data, temperature time data, and temperature position information as the ventilation control estimation parameter Prm1.

[0189] The inference unit 1020 used in the ventilation control system 100a according to the second embodiment acquires temperature data, temperature time data, temperature position information, and power consumption data as the ventilation control estimation parameter Prm1.

[0190] Furthermore, when nighttime weather conditions, daytime weather conditions, and production conditions are taken into account, the inference unit 1020 used in the ventilation control system 100a according to the second embodiment further acquires nighttime weather conditions, daytime weather conditions, and production conditions. In this case, the current value acquired in real time is used for the nighttime weather conditions. Meanwhile, the daytime weather conditions and production conditions for the next day are conditions based on estimates. For example, the same conditions as the previous day are used for the daytime weather conditions and production conditions for the next day. Furthermore, weather forecast information and a production plan acquired by communication or the like from outside the ventilation control system 100a may be used for the daytime weather conditions and production conditions for the next day.

[0191] In step S420, the inference unit 1020 inputs the ventilation control estimation parameter Prm1, which is inference data, into the trained model 830 stored in the trained model storage unit 900, and obtains the ventilation operation stop control parameter Prm2 suitable for the ventilation control estimation parameter Prm1. In step S430, the inference unit 1020 outputs the ventilation operation stop control parameter Prm2, which is the obtained data, to the control device controller 403 of the ventilation control device 410 of the ventilation control system.

[0192] In step S430, the inference unit 1020 used in the ventilation control system 100 according to the first embodiment outputs the obtained ventilation operation stop control parameter Prm2 to the control device controller 403 of the ventilation control device 410 of the control means 400 in the ventilation control system 100. The inference unit 1020 used in the ventilation control system 100a according to the second embodiment outputs the obtained ventilation operation stop control parameter Prm2 to the control device controller 403 of the ventilation control device 410 of the control means 400 in the ventilation control system 100a.

[0193] In step S440, the control device controller 403 of the ventilation control system 100 individually controls the operation, stop, and adjustment of the air volume of the exhaust ventilation fan 210, the supply ventilation fan 220, and the circulation blower 240 of the ventilation system 200, using the ventilation operation stop control parameter Prm2 (action) output from the inference unit 1020. Similarly, the control device controller 403 of the ventilation control system 100a individually controls the operation, stop, and adjustment of the air volume of the exhaust ventilation fan 210, the supply ventilation fan 220, and the circulation blower 240 of the ventilation system 200, using the ventilation operation stop control parameter Prm2 (action) output from the inference unit 1020. That is, ventilation control is performed using the ventilation operation stop control parameter Prm2 obtained from the trained model 830. As a result, in the ventilation control system 100 and the ventilation control system 100a, by performing a night purge inside the building 701 to promote dissipation of heat stored in heat 707 around the work area, it is possible to prevent a rise in temperature in the work area, thereby improving the temperature environment in the work area, reducing the burden of considering optimal operation and shutdown patterns for the ventilation system 200, and reducing the workload associated with shutting down the ventilation system 200.

[0194] The inference device 1000 used in the ventilation control system 100 of embodiment 1 is realized as an inference device that includes a second data acquisition unit 1010 that acquires data for inference including temperature data and temperature position information, and an inference unit 1020 that outputs control conditions corresponding to the temperature data and temperature position information using a trained model 830 that infers control conditions of the component equipment of the ventilation system 200 that individually controls the operation of the component equipment to perform night purging from the temperature data and temperature position information and bring the temperature of the work area closer to the outside air temperature.

[0195] The inference device 1000 used in the ventilation control system 100a according to the second embodiment generates inference data including temperature data, temperature time data, and temperature position information, and power consumption data. TaThe inference device is realized with an inference unit 1020 that uses a learned model 830 that individually controls the operation of the components of the ventilation system 200 from the temperature data, temperature time data, temperature position information, and power consumption data to release heat stored in the structure of the building 701 around the work area, thereby bringing the temperature of the work area closer to the outdoor air temperature and minimizing the power consumption data, and outputs control conditions corresponding to the equipment operation data, equipment operation time data, and equipment position information, and the power consumption data.

[0196] In the third embodiment, a case has been described in which reinforcement learning is applied to the learning algorithm used by the inference unit 1020, but the present invention is not limited to this. As for the learning algorithm, it is also possible to apply supervised learning, unsupervised learning, semi-supervised learning, or the like, in addition to reinforcement learning.

[0197] Furthermore, the learning device 800 and the inference device 1000 may be devices connected to the ventilation control system via a network and separate from the ventilation control system. The learning device 800 and the inference device 1000 may be built into the ventilation control system. Furthermore, the learning device 800 and the inference device 1000 may exist on a cloud server.

[0198] Furthermore, for example, when the learning device 800 is built into the ventilation control device 410 of the control means 400 of the ventilation control system 100, the ventilation control device 410 has a first data acquisition unit 810 and a model generation unit 820, and performs night purging by individually controlling the operation of the components of the ventilation system 200 based on the control conditions of the components of the ventilation system 200 inferred using the learned model 830 generated by the model generation unit 820, and controls the temperature of the work area to approach the outside air temperature.

[0199] In this case, the first data acquisition unit 810 acquires learning data including equipment operation data indicating the operating status of the constituent equipment of the ventilation system 200, which includes at least one of the following as constituent equipment: an exhaust ventilation fan 210 that exhausts air inside the building 701 to the outdoors, an intake ventilation fan 220 that supplies outdoor air to the inside of the building 701, and a circulation blower 240 that circulates air inside the building 701; and equipment location information indicating the position of the constituent equipment; and temperature data obtained from multiple temperature sensors 310, which include a work area temperature sensor that measures the temperature of a work area, which is a predetermined area inside the building 701 where a worker 704 works and is an area affected by heat storage 707, and an external temperature sensor that measures the temperature of the outdoor air, and temperature location information indicating the positions of the multiple temperature sensors 310.

[0200] In addition, the model generation unit 820 uses the learning data acquired by the first data acquisition unit 810 to generate a trained model 830 from the temperature data and temperature position information to individually control the operation of the components of the ventilation system 200 to perform night purging and to bring the temperature of the work area closer to the outside air temperature.

[0201] Furthermore, for example, when the inference device 1000 is built into the ventilation control device 410 of the control means 400 of the ventilation control system 100, the ventilation control device 410 is equipped with a second data acquisition unit 1010 and an inference unit 1020, and based on the control conditions of the components of the ventilation system 200 output by the inference unit 1020, individually controls the operation of the components of the ventilation system 200 to perform night purging and control the temperature of the work area to approach the outside air temperature.

[0202] In this case, the second data acquisition unit 1010 acquires data for inference including temperature data obtained from multiple temperature sensors 310 including a work area temperature sensor that measures the temperature of a work area, which is a predetermined area where a worker 704 works and is affected by heat storage 707, and an external temperature sensor that measures the temperature of the outdoor air inside a building 701 equipped with a ventilation system 200 including, as its component equipment, at least one of an exhaust ventilation fan 210 that exhausts air inside the building 701 to the outdoors, an intake ventilation fan 220 that supplies outdoor air into the building 701, and a circulation blower 240 that circulates air inside the building 701, and temperature position information indicating the positions of the multiple temperature sensors 310. The work area temperature sensor measures the temperature of a work area, which is a predetermined area where a worker 704 works and is affected by heat storage 707, and an external temperature sensor that measures the temperature of the outdoor air.

[0203] In addition, the inference unit 1020 outputs control conditions corresponding to the temperature data and temperature position information using a trained model 830 that infers control conditions of the components of the ventilation system 200 that individually control the operation of the components to perform night purging and bring the temperature of the work area closer to the outside air temperature, from the temperature data and temperature position information acquired by the second data acquisition unit 1010.

[0204] The ventilation control device 410 including the learning device 800 or the inference device 1000 as described above may be provided as a standalone device independent of the ventilation control system 100 .

[0205] The model generating unit 820 may learn the ventilation operation stop control parameter Prm2 (behavior) using learning data acquired from a plurality of ventilation control systems. The model generating unit 820 may acquire learning data from a plurality of ventilation control systems used in the same area, or may learn the ventilation operation stop control parameter Prm2 (behavior) using learning data collected from a plurality of ventilation control systems operating independently in different areas. The learning device 800 may also add or remove a ventilation control system from which learning data is collected midway. Furthermore, the learning device 800 that has learned the ventilation operation stop control parameter Prm2 (behavior) for a certain ventilation control system may be applied to another ventilation control system, and the learned model 830 may be updated by re-learning the ventilation operation stop control parameter Prm2 (behavior) for the other ventilation control system.

[0206] Furthermore, when selecting which ventilation fans to operate or stop, if there are many combinations of operation and stop, it is necessary to obtain an appropriate operation / stop pattern by using a huge amount of temperature data and device It will be necessary to analyze operational data, etc., and the analytical work load is expected to be extremely large.

[0207] In the learning device 800, by utilizing machine learning, it is also possible to reduce the analysis load for determining an appropriate operation / stop pattern for the ventilation fans. In other words, by including the learning device 800 as part of the configuration of the ventilation control system, it becomes possible to easily determine a control pattern for individually controlling each ventilation fan by machine learning.

[0208] Each of the control units of the ventilation control unit 14 of the ventilation fan 10, the air blowing control unit 244 of the circulation blower 240, the sensor control unit 314 of the temperature sensor 310, the control unit control unit 403 of the ventilation control unit 410, the learning device 800, and the inference device 1000 is realized, for example, as a processing circuit having a hardware configuration shown in FIG. 18. FIG. 18 is a diagram showing an example of a hardware configuration of a processing circuit according to the first embodiment. When each of the above control units is realized by the processing circuit shown in FIG. 18, each of the above control units is realized, for example, by the processor 1101 executing a program stored in the memory 1102 shown in FIG. 18. In addition, the above functions may be realized by a plurality of processors and a plurality of memories working together. In addition, some of the functions of each of the above control units may be implemented as electronic circuits, and other parts may be realized by using the processor 1101 and the memory 1102.

[0209] The configurations shown in the above embodiments are merely examples, and may be combined with other known technologies, or the embodiments may be combined with each other. Also, parts of the configurations may be omitted or modified without departing from the spirit of the invention. [Explanation of symbols]

[0210] 10 ventilation fan, 11 ventilation section, 12 ventilation communication section, 13 ventilation memory section, 14 ventilation control section, 100, 100a ventilation control system, 200 ventilation system, 210, 210A, 210B, 210C exhaust ventilation fan, 220, 220A supply ventilation fan, 230, 230A local exhaust ventilation fan, 231 duct, 240, 240A circulation blower, 241 blower section, 242 blower communication section, 243 blower memory section, 244 blower control section, 250 air conditioner, 260 ventilation control interface, 270 power meter interface, 300 temperature sensor system, 310, 310A, 310B, 310C temperature sensor, 311 Measurement unit, 312, sensor communication unit, 313, sensor storage unit, 314, sensor control unit, 400, control means, 401, control device communication unit, 402, control device storage unit, 403, control device control unit, 410, ventilation control device, 411, processor, 412, memory, 413, control interface, 414, sensor interface, 415, input interface, 416, display unit interface, 417, bus, 420, storage device, 430, database, 431, program, 432, file, 701, building, 701a, exterior wall, 701b, floor, 702, control room, 703, manufacturing equipment, 704, worker, 705, high temperature air, 706 Heat source device, 707, heat storage, 710, power meter, 800, learning device, 810, first data acquisition unit, 820, model generation unit, 821, reward calculation unit, 822, function update unit, 830 Trained model, 831 threshold, 900 trained model storage unit, 1000 inference device, 1010 second data acquisition unit, 1020 inference unit, 1101 processor, 1102 Memory.

Claims

1. A ventilation system including, as components thereof, at least the exhaust fan and the intake fan, among which an exhaust fan that exhausts air from inside a building in which a heat source device that generates heat during operation is disposed to the outside, an intake fan that supplies outdoor air to the inside of the building, and a circulation blower that circulates air inside the building; a temperature sensor system including a plurality of temperature sensors including a work area temperature sensor for measuring the temperature of a work area, which is a predetermined area inside the building where workers perform work and is an area affected by heat stored in the building's framework, and an external temperature sensor for measuring the temperature of outdoor air; a control means for performing structural body heat storage and release control, which controls the operation of the components of the ventilation system individually based on equipment operation data indicating the operating status of the components of the ventilation system and equipment location information indicating the locations of the components, and based on temperature data obtained from the plurality of temperature sensors and temperature location information indicating the locations of the plurality of temperature sensors, to release heat stored in the structural body of the building around the work area, thereby bringing the temperature of the work area closer to the temperature of the outdoor air; Equipped with The equipment position information is represented by horizontal position information and vertical position information, and is given in coordinates with a specific position of the building as the origin; the control means performs the building structure heat storage and release control by individually controlling the operation of at least the exhaust ventilation fan and the supply ventilation fan to create a ventilation flow from the supply air to the exhaust air inside the building; A ventilation control system comprising:

2. a first data acquisition unit that acquires learning data including the device operation data, the device position information, the temperature data, and the temperature position information; A model generation unit that uses the learning data to individually control the operation of the components of the ventilation system from the temperature data and the temperature position information, and generates a trained model for inferring control conditions of the components in the building structure heat storage and release control; A learning device comprising: The ventilation control system according to claim 1 .

3. a second data acquisition unit that acquires inference data including the temperature data and the temperature position information; An inference unit that uses a trained model that individually controls the operation of the components of the ventilation system from the temperature data and the temperature position information, and infers the control conditions of the components in the building structure heat storage and release control, and outputs the control conditions corresponding to the temperature data and the temperature position information; a reasoning device comprising: The ventilation control system according to claim 1 or 2,

4. The control means performs the building body heat storage and release control during a nighttime period; The ventilation control system according to claim 1 .

5. the control means individually controls the operation of the constituent devices of the ventilation system based on the device operation data, device operation time data corresponding to the acquisition time of the device operation data and the device location information, the temperature data, temperature time data corresponding to the acquisition time of the temperature data and the temperature location information, and power consumption data obtained from a power consumption meter that measures power consumption of the ventilation control system, thereby performing control to reduce the amount of power used per unit time in the work area during the nighttime hours and the daytime hours after the nighttime hours; The ventilation control system according to claim 4 .

6. The power consumption data is data on a total ventilation power consumption which is a sum of a nighttime ventilation power consumption, which is the power consumption of the ventilation system operated by the building structure heat storage and release control during the nighttime hours, a sum of the power consumption of the components of the ventilation system operated in ventilation of the building during the daytime hours, and a daytime ventilation air-conditioning power consumption, which is the sum of the power consumption of air conditioners that air-condition the building during the daytime hours; The ventilation control system according to claim 5 .

7. a first data acquisition unit that acquires learning data including the device operation data, the device operation time data, and the device location information, the temperature data, the temperature time data, and the temperature location information, and the power consumption data; a model generation unit that uses the learning data to generate a trained model for inferring control conditions for the constituent devices of the ventilation system, which individually control the operation of the constituent devices of the ventilation system to release heat stored in a structure of the building around the work area, thereby bringing the temperature of the work area closer to the outdoor air temperature and minimizing the power consumption data, from the equipment operation data, the equipment operation time data, and the equipment location information, and the power consumption data; and A learning device comprising: The ventilation control system according to claim 6 .

8. A production device is provided inside the building, the first data acquisition unit further acquires, as the learning data, nighttime weather conditions, which are weather conditions at night, daytime weather conditions, which are weather conditions during the day, and production conditions, which are conditions for producing products in the production device; the model generation unit uses the learning data to generate a trained model for inferring control conditions for the component equipment of the ventilation system that individually controls the operation of the component equipment to release heat stored in the building structure around the work area, thereby bringing the temperature of the work area closer to the outdoor air temperature and minimizing the power consumption data, from the equipment operation data, the equipment operation time data, the equipment location information, the power consumption data, the nighttime weather conditions, the daytime weather conditions, and the production conditions; The ventilation control system according to claim 7 .

9. a second data acquisition unit that acquires inference data including the temperature data, the temperature time data, the temperature position information, and the power consumption data; an inference unit that uses a trained model that infers control conditions for the components of the ventilation system, which control the temperature of the work area to approach the outdoor air temperature and minimize the power consumption data by individually controlling the operation of the components of the ventilation system from the temperature data, the temperature time data, the temperature position information, and the power consumption data, and outputs the control conditions corresponding to the equipment operation data, the equipment operation time data, the equipment position information, and the power consumption data; a reasoning device comprising: The ventilation control system according to claim 7 or 8,

10. A production device is provided inside the building, The second data acquisition unit further acquires, as the inference data, nighttime weather conditions, which are weather conditions at night, daytime weather conditions, which are weather conditions during the day, and production conditions, which are conditions for producing products in the production device; the inference unit uses a trained model that infers control conditions for the components of the ventilation system, which individually control the operation of the components of the ventilation system to release heat stored in the building structure around the work area to bring the temperature of the work area closer to the outdoor air temperature and minimize the power consumption data, from the temperature-time data and the temperature position information, the power consumption data, the nighttime weather conditions, the daytime weather conditions, and the production conditions, and outputs the control conditions corresponding to the temperature-time data and the temperature position information, the power consumption data, the nighttime weather conditions, the daytime weather conditions, and the production conditions; The ventilation control system according to claim 9 .

11. The ventilation system includes the circulation fan, The circulation fan has a function of changing the air direction. A ventilation control system according to any one of claims 1 to 10, characterized in that

12. A ventilation control system including as its components at least an exhaust fan and an intake fan, which exhaust air from inside a building in which a heat source device that generates heat during operation is located to the outdoors, an intake fan that supplies outdoor air to the inside of the building, and a circulation blower that circulates the air inside the building, comprising: equipment operation data indicating the operating status of the components of the ventilation control system and equipment location information indicating the location of the components; temperature data obtained from a plurality of temperature sensors, including a work area temperature sensor that measures the temperature of a work area, which is a predetermined area inside the building where workers perform work and is an area affected by heat stored in the building's framework, and an external temperature sensor that measures the temperature of outdoor air, and temperature position information indicating the positions of the plurality of temperature sensors; A first data acquisition unit that acquires learning data including: a model generation unit that uses the learning data to generate, from the temperature data and the temperature position information, a trained model for inferring control conditions for the components in a building structure heat storage and release control that individually controls the operation of the components of the ventilation control system to release heat stored in the building structure around the work area, thereby bringing the temperature of the work area closer to the outdoor air temperature; and Equipped with Based on the control conditions inferred using the trained model, the structure heat storage and release control is performed to individually control the operation of at least the exhaust ventilation fan and the supply ventilation fan among the components of the ventilation control system to create a ventilation flow from the supply air to the exhaust air inside the building; The equipment position information is represented by horizontal position information and vertical position information, and is given in coordinates with a specific position of the building as the origin; A ventilation control device comprising:

13. A second data acquisition unit that acquires data for inference including temperature data obtained from multiple temperature sensors including a work area temperature sensor that measures the temperature of a work area, which is a predetermined area where workers work and is affected by heat stored in the structure of the building, and an external temperature sensor that measures the temperature of the outdoor air, and temperature position information indicating the positions of the multiple temperature sensors, the second data acquisition unit acquiring data for inference including temperature data obtained from multiple temperature sensors including an exhaust fan that exhausts air inside a building to the outdoors, an intake fan that supplies outdoor air into the building, and a circulation blower that circulates air inside the building as constituent equipment, the exhaust fan and the intake fan being at least one of the exhaust fan and the intake fan; an inference unit that uses a trained model to infer control conditions for the components of the ventilation control system in a building structure heat storage and release control that individually controls the operation of at least the exhaust ventilation fan and the supply ventilation fan among the components of the ventilation control system from the temperature data and the temperature position information to release heat stored in the building structure around the work area, thereby bringing the temperature of the work area closer to the outdoor air temperature, and outputs the control conditions corresponding to the temperature data and the temperature position information; Equipped with Based on the control conditions output by the inference unit, the operation of at least the exhaust ventilation fan and the supply ventilation fan among the components of the ventilation control system is individually controlled to perform the structure heat storage and release control; The temperature position information is represented by horizontal position information and vertical position information, and is given in coordinates with a specific position of the building as the origin; A ventilation control device comprising:

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