Ventilation control apparatus and ventilation control program

Abstract

To provide a ventilation control apparatus and a ventilation control program which can carry out natural ventilation more suitably for the intended use as compared with the conventional art.SOLUTION: A ventilation control apparatus 10 according to the present invention has an acquiring unit 11A for acquiring measured results of direction and velocity of wind at the outside of a target building, a deriving unit 11B for, on a real-time basis, air flow distribution at the inside of the building with respect to each of combinations of a plurality of predetermined opening states at the building opening part by using the wind direction and the wind velocity acquired by the acquiring unit 11A, and a control unit 11C for selectively applying the opening state of the opening corresponding to the air flow distribution suitable for the type of an event carried out in the building, among the air flow distributions derived by the deriving unit 11B, to control the opening state of the opening part.SELECTED DRAWING: Figure 4

Description

[Technical field]

[0001] The present invention relates to a ventilation control device and a ventilation control program. [Background technology]

[0002] Proper natural ventilation leads to improvements in both energy conservation and comfort. Conventionally, there have been the following technologies that utilize natural ventilation:

[0003] Patent Document 1 discloses a natural ventilation system aimed at maintaining an appropriate indoor environment.

[0004] This natural ventilation system includes a maximum allowable wind speed setting means for setting the maximum allowable wind speed of indoor airflow as the maximum allowable wind speed, and a wind pressure coefficient calculation means for setting a plurality of different directions for outdoor airflow, and for each of the set outdoor airflows, calculating the wind pressure coefficient at each opening of the building to generate a first table.The natural ventilation system also includes a maximum wind speed proportional coefficient calculation means for setting a plurality of cases for each of the set outdoor airflows in which the opening degrees of at least some of the building openings are different from each other, calculating the wind speed proportional coefficient of the indoor airflow based on the first table for all of the set cases, extracting the maximum of the calculated wind speed proportional coefficients as a maximum wind speed proportional coefficient to generate a second table, and a maximum wind speed calculation means for acquiring the wind direction and wind speed of the outdoor airflow, reading out the maximum wind speed proportional coefficient for each of the cases in the acquired wind direction from the second table, and multiplying the acquired wind speed by the read maximum wind speed proportional coefficient to calculate the maximum wind speed indoors. Furthermore, the natural ventilation system includes an extraction means for extracting from the plurality of cases those in which the maximum wind speed indoors is equal to or lower than the maximum allowable wind speed, and an opening control means for controlling the opening degree of each opening of the building to the opening degree set for the extracted case.

[0005] Moreover, Patent Document 2 discloses a natural ventilation support system that aims to realize natural ventilation that makes occupants feel comfortable.

[0006] This natural ventilation support system is a natural ventilation support system that performs ventilation using the flow of wind generated in a room having multiple opening / closing parts by opening and closing at least one of the opening / closing parts, and includes a CRI database that holds CRI (contribution ratio to formation of indoor thermal environment) information indicating the influence of each opening / closing part as a heat source on the temperature formation at each position in the room, in correspondence with the outdoor wind direction and wind speed and the wind flow for each opening / closing pattern of the opening / closing parts, and a wind direction and wind speed sensor that detects the outdoor wind direction and wind speed. The natural ventilation support system also includes an indoor temperature prediction means that obtains CRI information corresponding to the outdoor wind direction and wind speed detected by the wind direction and wind speed sensor from the CRI database and predicts the temperature at each position in the room after natural ventilation for each opening / closing pattern using the obtained CRI information, and a comfort prediction means that predicts the value of an index correlated with the comfort of the room for each opening / closing pattern using the temperature at each position in the room predicted by the indoor temperature prediction means. Furthermore, the natural ventilation support system includes an opening / closing pattern selection means for selecting at least one opening / closing pattern from among opening / closing patterns within a preset range in which the value of an index correlated with the comfort predicted by the comfort prediction means is within the range, and an opening / closing control means for controlling or notifying the opening / closing of the opening / closing section based on the opening / closing pattern selected by the opening / closing pattern selection means.

[0007] Furthermore, Non-Patent Document 1 discloses a natural ventilation system aimed at keeping the indoor environment comfortable.

[0008] This natural ventilation system controls the automatic opening and closing of natural ventilation openings based on a database of meteorological and environmental conditions such as wind, temperature, and room temperature, and displays to what degree manual openings such as windows should be opened on the personal computer screen of each occupant.In addition, this natural ventilation system determines the opening and closing state that will provide an appropriate indoor environment by combining a database of simulation results that have been analyzed in advance taking into account the shapes of the building and surrounding blocks, environmental measurement data inside and outside the building (wind direction, wind speed, temperature and humidity), and people's position information. [Prior art documents] [Patent documents]

[0009] [Patent Document 1] Patent No. 6370106 [Patent Document 2] Patent No. 6653176 [Non-patent literature]

[0010] [Non-Patent Document 1] Taisei Corporation, "Smart Natural Ventilation System "T-Smart Air"", Internet<URL:https: / / www.taisei.co.jp / ss / tech / C0051.html> Summary of the Invention [Problem to be solved by the invention]

[0011] However, the techniques disclosed in Patent Documents 1 and 2 and Non-Patent Document 1 have the problem that none of them take into consideration events taking place inside a building, and therefore they are not necessarily able to provide natural ventilation that is suitable for the intended use.

[0012] The present disclosure has been made in consideration of the above circumstances, and aims to provide a ventilation control device and a ventilation control program that can perform natural ventilation that is more suitable for the intended use than conventional techniques. [Means for solving the problem]

[0013] The ventilation control device of the present invention described in claim 1 comprises an acquisition unit that acquires measurement results of wind direction and wind speed outside a target building, a derivation unit that uses the wind direction and wind speed acquired by the acquisition unit to derive in real time an airflow distribution inside the building for each of a plurality of predetermined combinations of opening states of openings in the building, and a control unit that selectively applies an opening state of the opening that corresponds to an airflow distribution suitable for a type of event taking place inside the building from the airflow distributions derived by the derivation unit, and controls the opening state of the opening.

[0014] According to the ventilation control device of the present invention described in claim 1, measurement results of wind direction and wind speed outside the target building are obtained, and the obtained wind direction and wind speed are used to derive airflow distribution inside the building in real time for each of a plurality of combinations of predetermined opening states of the openings of the building, and from among the derived airflow distributions, an opening state of the opening that corresponds to an airflow distribution suitable for the type of event being held inside the building is selectively applied to control the opening state of the opening, thereby making it possible to perform natural ventilation that is more suitable for the target use than conventional technologies.

[0015] The ventilation control device of the present invention as described in claim 2 is the ventilation control device as described in claim 1, wherein the event includes at least one of a first event in which at least a part of the interior of the building is adversely affected by wind, and a second event in which at least a part of the interior of the building is favorably affected by wind.

[0016] According to the ventilation control device of the present invention described in claim 2, by defining the events as including at least one of a first event in which at least a part of the interior of the building is adversely affected by wind, and a second event in which at least a part of the interior of the building is favorably affected by wind, natural ventilation suitable for at least one of an event adversely affected by wind and an event favorably affected by wind can be performed.

[0017] The ventilation control device of the present invention as described in claim 3 is the ventilation control device as described in claim 2, wherein the first event is a sports event and the second event is at least one of the setup for a music event and an exhibition.

[0018] According to the ventilation control device of the present invention as described in claim 3, by setting the first event to a sports event and the second event to at least one of a music event setup and an exhibition, natural ventilation suitable for at least one of a sports event, and at least one of a music event setup and an exhibition can be performed.

[0019] The ventilation control device of the present invention as described in claim 4 is the ventilation control device as described in claim 1, wherein the derivation unit receives the measurement results and information indicating the opening state of the openings of the building as input information, receives information indicating the airflow distribution inside the building as output information, and derives the airflow distribution using an airflow distribution prediction model that has been previously trained by machine learning on the building.

[0020] According to the ventilation control device of the present invention as described in claim 4, the measurement results and information indicating the opening state of the openings of the building are used as input information, and information indicating the airflow distribution inside the building is used as output information. By deriving the airflow distribution using an airflow distribution prediction model that has been machine-learned in advance for the building, the airflow distribution can be derived more quickly and more accurately than when the airflow distribution is derived using existing techniques such as fluid analysis or thermal and ventilation circuit network calculations.

[0021] The ventilation control device of the present invention as described in claim 5 is the ventilation control device as described in claim 1, wherein the control unit further performs control to switch the opening state in response to changes in the implementation status of the event.

[0022] According to the ventilation control device of the present invention as set forth in claim 5, by further controlling the switching of the opening state in response to changes in the implementation status of the event, it is possible to perform natural ventilation more appropriately suited to the implementation status of the event.

[0023] The ventilation control program of the present invention as described in claim 6 causes a computer to execute a process of acquiring measurement results of wind direction and wind speed outside a target building, deriving airflow distribution inside the building in real time for each of a plurality of combinations of predetermined opening states of the openings of the building using the acquired wind direction and wind speed, and selectively applying, from the derived airflow distributions, an opening state of the opening that corresponds to an airflow distribution suitable for a type of event being held inside the building, thereby controlling the opening state of the opening.

[0024] According to the ventilation control program of the present invention as set forth in claim 6, measurement results of wind direction and wind speed outside a target building are obtained, and the obtained wind direction and wind speed are used to derive airflow distribution inside the building in real time for each of a plurality of combinations of predetermined opening states of the openings of the building, and an opening state of the opening that corresponds to an airflow distribution suitable for the type of event being held inside the building is selectively applied from among the derived airflow distributions, thereby controlling the opening state of the opening, thereby making it possible to perform natural ventilation that is more suitable for the target use than with conventional techniques. Effect of the Invention

[0025] As described above, according to the present invention, natural ventilation that is more suitable for the intended use can be performed as compared with the conventional techniques. [Brief description of the drawings]

[0026] [Figure 1] FIG. 2 is a block diagram showing an example of a hardware configuration of the ventilation control device according to the embodiment. [Diagram 2] FIG. 1 is a plan view showing the configuration of an all-weather multipurpose stadium, which is a building to be controlled by a ventilation control device according to an embodiment. [Diagram 3] FIG. 1 is a cross-sectional side view showing the configuration of an all-weather multipurpose stadium according to an embodiment. [Figure 4] 1 is a block diagram showing an example of a functional configuration of a ventilation control device according to an embodiment. FIG. [Diagram 5] FIG. 4 is a schematic diagram showing an example of a configuration of a preferred airflow distribution database according to the embodiment. [Figure 6] 10 is a flowchart showing an example of a ventilation control process according to the embodiment. DETAILED DESCRIPTION OF THE PREFERRED EMBODIMENTS

[0027] Hereinafter, an embodiment of the present invention will be described in detail with reference to the drawings. In this embodiment, a ventilation control device according to the present invention will be described as being applied to an all-weather multipurpose stadium (hereinafter simply referred to as a "stadium"). However, the scope of application of the present invention is not limited to the stadium, and the present invention can be applied to any building that allows natural ventilation, such as a multipurpose hall, a general office building, an atrium, or a meeting hall.

[0028] First, the configuration of a ventilation control device 10 according to this embodiment will be described with reference to Fig. 1. Fig. 1 is a block diagram showing an example of a hardware configuration of the ventilation control device 10 according to this embodiment. Examples of the ventilation control device 10 include information processing devices such as a personal computer and a server computer.

[0029] 1, a ventilation control device 10 according to this embodiment includes a CPU (Central Processing Unit) 11, a memory 12 as a temporary storage area, a non-volatile storage unit 13, an input unit 14 such as a keyboard and mouse, a display unit 15 such as a liquid crystal display, a medium reading and writing device (R / W) 16, and a communication interface (I / F) unit 18. The CPU 11, memory 12, storage unit 13, input unit 14, display unit 15, medium reading and writing device 16, and communication interface (I / F) unit 18 are connected to each other via a bus B. The medium reading and writing device 16 reads information written in a recording medium 17 and writes information to the recording medium 17.

[0030] The storage unit 13 according to this embodiment is realized by a hard disk drive (HDD), a solid state drive (SSD), a flash memory, or the like. A ventilation control program 13A is stored in the storage unit 13 as a storage medium. The ventilation control program 13A is stored (installed) in the storage unit 13 by setting a recording medium 17, on which the program 13A is written, in the medium reading and writing device 16, and the medium reading and writing device 16 reading the program 13A from the recording medium 17. The CPU 11 appropriately reads the ventilation control program 13A from the storage unit 13, expands it in the memory 12, and sequentially executes the processes of the program 13A.

[0031] Further, a suitable airflow distribution database 13B and an airflow distribution prediction model 13C are stored in the storage unit 13. The suitable airflow distribution database 13B and the airflow distribution prediction model 13C will be described in detail later.

[0032] On the other hand, the communication I / F unit 18 is connected to outdoor sensors 60, which are a group of sensors provided outdoors in the stadium, and indoor sensors 70, which are a group of sensors provided indoors in the stadium.

[0033] The outdoor sensor 60 according to this embodiment includes a wind direction / speed sensor 62, a temperature / humidity sensor 64, a rainfall sensor 66, and a noise sensor 68. The indoor sensor 70 according to this embodiment includes a wind direction / speed sensor 72, a human presence sensor 74 for deriving human density, and a temperature / humidity sensor 76.

[0034] Therefore, the CPU 11 can appropriately acquire the detection values ​​by the outdoor sensor 60 and the indoor sensor 70.

[0035] Next, the configuration of the stadium 80 according to this embodiment will be described with reference to Figures 2 and 3. Figure 2 is a plan view showing the configuration of the stadium 80 according to this embodiment, and Figure 3 is a cross-sectional side view of the stadium 80.

[0036] 2, the stadium 80 according to this embodiment is octagonal in plan view and has a shape that is substantially symmetrical about a center line C. On the outer periphery of the stadium 80, a group of openings 84 is provided on each side of the octagonal shape, the group having a plurality of openings 82, each with a variable opening area.

[0037] 3, in stadium 80 according to this embodiment, each of opening groups 84 is provided near the top of the spectator seats of stadium 80, and openings 82 in opening group 84 can be opened to effectively take in outside air. However, the arrangement position of opening group 84 is not limited to this, and opening group 84 may be arranged, for example, near the bottom or middle part of the target building, or a combination of multiple arrangement positions described above may be applied.

[0038] The outdoor sensor 60 according to this embodiment does not necessarily need to be provided at each position of the opening 82, and may be provided at a minimum in one location. When providing the outdoor sensor 60 in only one location, the location may be, for example, the center of the roof of the stadium 80 or the exterior structure.

[0039] In contrast, the indoor sensors 70 of this embodiment are intended to detect the distribution of people, temperature, and humidity, etc., inside the stadium 80, and are therefore installed at multiple predetermined locations inside the stadium 80.

[0040] Next, the functional configuration of the ventilation control device 10 according to this embodiment will be described with reference to Fig. 4. Fig. 4 is a block diagram showing an example of the functional configuration of the ventilation control device 10 according to this embodiment.

[0041] 4, the ventilation control device 10 according to this embodiment includes an acquisition unit 11A, a derivation unit 11B, and a control unit 11C. The CPU 11 of the ventilation control device 10 executes the ventilation control program 13A to function as the acquisition unit 11A, the derivation unit 11B, and the control unit 11C.

[0042] The acquisition unit 11A according to this embodiment acquires, from an outdoor sensor 60, measurement results of wind direction and wind speed outside a target building (in this embodiment, a stadium 80).

[0043] Furthermore, the derivation unit 11B according to this embodiment uses the wind direction and wind speed acquired by the acquisition unit 11A to derive in real time the airflow distribution inside the stadium 80 for each combination of a plurality of predetermined opening states of the openings 82 of the stadium 80. Note that the "airflow distribution" here refers to the distribution of wind direction and wind speed in the three-dimensional space inside the building.

[0044] Then, the control unit 11C according to this embodiment selectively applies the opening state of the opening 82 corresponding to the airflow distribution suitable for the type of event held inside the stadium 80 from among the airflow distributions derived by the derivation unit 11B, and controls the opening state of the opening 82. The control unit 11C according to this embodiment also controls the air conditioning inside the stadium 80 using the air conditioning equipment (hereinafter referred to as "air conditioning equipment") 40.

[0045] The above events include at least one (in this embodiment, both) of a first event in which at least a part of the inside of the stadium 80 is adversely affected by the wind, and a second event in which at least a part of the inside of the stadium 80 is favorably affected by the wind. Here, the first event is a sports-related event, and the second event is at least one (in this embodiment, both) of the setup of a music-related event and a presentation.

[0046] Here, the reason why "setting up a music-related event" is applied as the second event and music itself is not applied is as follows: That is, when the music event itself is being held, the openings 82 in all opening group 84 are closed to avoid problems such as sound leaking to the outside, and there is no need to control the opening and closing of each opening 82.

[0047] Furthermore, the derivation unit 11B according to this embodiment derives the airflow distribution using an airflow distribution prediction model 13C that has been machine-learned in advance. However, this is not limited to the above embodiment, and the airflow distribution may be derived using existing software such as conventionally known fluid analysis or heat and ventilation network calculation.

[0048] The above-mentioned combinations of the plurality of predetermined opening states have the following variations, and in this embodiment, any one combination or a plurality of combinations can be selectively applied.

[0049] The opening area (hereinafter, referred to as "opening degree") of each of the openings 82 can be adjusted individually, and all of the openings 82 are combined according to predetermined opening degrees. Each of the openings 82 can only be fully opened or fully closed, and a combination of all openings 82 being fully opened and fully closed. The openings 82 are grouped into a plurality of opening groups (for example, opening group 84), and each group has a combination of opening degrees or a combination of fully open and fully closed.

[0050] Next, the airflow distribution prediction model 13C according to this embodiment will be described.

[0051] The airflow distribution prediction model 13C in this embodiment is configured as a machine learning model that has been pre-machine trained on the stadium 80, with input information being the measurement results of wind direction and wind speed outside the stadium 80 and information indicating the opening state of the openings 82 in the stadium 80, and output information being information indicating the airflow distribution inside the stadium 80.

[0052] The airflow distribution prediction model 13C according to the present embodiment is an AI (Artificial Intelligence) model using a trained CNN (Convolutional Neural Network), but is not limited thereto. For example, other machine learning models such as AI other than CNN may be applied as the airflow distribution prediction model 13C.

[0053] As described above, instead of the airflow distribution prediction model 13C, the airflow distribution may be derived using existing software such as fluid analysis (for example, analysis using FlowDesigner (registered trademark)), thermal and ventilation circuit network calculations, etc.

[0054] Next, the preferred airflow distribution database 13B according to this embodiment will be described with reference to Fig. 5. Fig. 5 is a schematic diagram showing an example of the configuration of the preferred airflow distribution database 13B according to this embodiment. The preferred airflow distribution database 13B is a database that stores information indicating a target airflow distribution, which is used when the ventilation control device 10 according to this embodiment executes a ventilation control process described later.

[0055] As shown in FIG. 5, preferable airflow distribution database 13B according to this embodiment stores information on field, type, time, and preferable airflow distribution in association with each other.

[0056] The above-mentioned field is information indicating the field of events that the ventilation control device 10 according to this embodiment supports. As described above, in this embodiment, the fields include sports and music events, exhibitions, and the like.

[0057] The type is information indicating the type of event in the corresponding field that the ventilation control device 10 of this embodiment supports, and the time is information indicating the time when the corresponding event will be held. The preferable airflow distribution is information indicating the airflow distribution itself that is considered to be preferable inside the stadium 80 when the corresponding event is held in the stadium 80 at the corresponding time.

[0058] As shown in Fig. 5, in this embodiment, the above-mentioned period is applied in one-month increments, but is not limited thereto. For example, the above-mentioned period may be applied in each of the four seasons, i.e., spring, summer, autumn, and winter.

[0059] In this embodiment, the information indicating the preferable airflow distribution is information indicating the airflow distribution measured by the wind direction / speed sensor 72 of the indoor sensor 70 when a corresponding event is actually held in the stadium 80 and the information is highly evaluated by spectators, the manager of the stadium 80, the organizer or promoter of the event, etc. In this case, when multiple pieces of information are obtained at the same time for the same type of event, information indicating the average airflow distribution of the multiple pieces of information is created and applied.

[0060] For example, if the event is baseball, it is assumed that there are areas where consideration should be given to preventing air currents from occurring that are stronger than a certain level, since wind can affect the flight of a batted ball. On the other hand, it is considered desirable for there to be a moderate air current in the spectator seats in summer and mid-season. Also, for example, if the event is an exhibition, it is assumed that there are many cases where it is desirable to have as much wind as possible flow throughout the entire space.

[0061] In this manner, in this embodiment, the airflow distribution obtained during an actual event is applied as the preferred airflow distribution, but the present invention is not limited to this. For example, the stadium 80 may be modeled in three dimensions, and the preferred airflow distribution may be obtained and applied by a computer simulation using the three-dimensional model.

[0062] Next, the operation of the ventilation control device 10 according to this embodiment will be described with reference to FIG. 6. FIG. 6 is a flowchart showing an example of the ventilation control process according to this embodiment. When a user inputs an instruction to start the execution of the ventilation control program 13A via the input unit 14, the CPU 11 of the ventilation control device 10 executes the program 13A, thereby executing the ventilation control process shown in FIG. 6. Note that, in order to avoid confusion, a case will be described here in which the suitable airflow distribution database 13B has already been constructed and the airflow distribution prediction model 13C has already been trained. Also, in order to avoid confusion, a description of the air conditioning control inside the stadium 80 by the air conditioning equipment 40 will be omitted.

[0063] 6, the CPU 11 identifies an event (hereinafter referred to as a "target event") to be held in the stadium 80. For example, the target event is identified by having a user input the event, by referring to predetermined schedule information, or the like.

[0064] In step 102, the CPU 11 judges whether it is time to perform natural ventilation or not, and if the judgment is negative, the process proceeds to step 114, whereas if the judgment is positive, the process proceeds to step 104. The judgment of whether it is time to perform natural ventilation or not is made by judging whether the enthalpy (heat content) obtained based on the temperature distribution and representative humidity inside the stadium 80, which are indicated by the measured values ​​obtained by the temperature / humidity sensor 76 of the indoor sensor 70, is a value that makes it preferable to use natural ventilation in conjunction with the implementation of the target event.

[0065] In this manner, in this embodiment, the temperature distribution and representative humidity inside the stadium 80 are derived from the measured values ​​inside the stadium 80, but this is not limited to this, and at least one of the temperature distribution and humidity may be derived by computer simulation.

[0066] In this embodiment, the enthalpy inside the stadium 80 is used to determine whether natural ventilation is required, but the present invention is not limited to this. For example, the enthalpy outside the stadium 80 obtained based on the measured value obtained by the temperature and humidity sensor 64 of the outdoor sensor 60 may be used to determine whether natural ventilation is required. In addition, when the rainfall sensor 66 of the outdoor sensor 60 measures that it is raining, it may be determined that natural ventilation is not required. Furthermore, when the noise level measured by the noise sensor 68 of the outdoor sensor 60 is equal to or higher than a level that may cause a disruption to the target event, it may be determined that natural ventilation is not required.

[0067] In step 104, the CPU 11 acquires the outdoor wind direction and wind speed from the wind direction / speed sensor 62 of the outdoor sensor 60. In step 106, the CPU 11 inputs the acquired wind direction and wind speed and information indicating the opening state of the openings 82 of the stadium 80 into the airflow distribution prediction model 50, thereby predicting the airflow distribution for each combination of the opening states of the openings 82.

[0068] In step 108, CPU 11 reads out information indicating a suitable airflow distribution that corresponds to the target event and to the current time from suitable airflow distribution database 13B, thereby identifying a suitable airflow distribution that is suitable for the state of the target event.

[0069] In this manner, in the present embodiment, as a method of identifying a suitable airflow distribution by the processing of step 108, information indicating an airflow distribution considered to be suitable for each corresponding event is stored as a database as a suitable airflow distribution database 13B, and the suitable airflow distribution is identified by referring to the database, but the present invention is not limited to this. For example, as a method of identifying a suitable airflow distribution, a method of estimating the suitable airflow distribution using a machine learning model may be applied. In this embodiment, information indicating at least one of a suitable airflow distribution and an unsuitable airflow distribution during the actual implementation of the event may be acquired and accumulated, and the machine learning model may be trained using the information, thereby brushing up the machine learning model.

[0070] In step 110, the CPU 11 selects the airflow distribution that is most similar to the preferred airflow distribution from the airflow distributions predicted by the processing of step 106, and in step 112, the CPU 11 controls each opening 82 so that it is in an opening state corresponding to the selected airflow distribution.

[0071] In step 114, the CPU 11 judges whether or not a predetermined end timing has arrived, and if the judgment is negative, the process returns to step 102, whereas if the judgment is positive, the process ends. Note that the above-mentioned end timing can be exemplified by the timing at which the target event ends.

[0072] In the ventilation control process according to the present embodiment, in order to simplify the process, when it is determined in the process of step 102 that it is time to perform natural ventilation, the air conditioning by the air conditioning equipment 40 is stopped, but this is not limited to this. For example, regardless of whether it is time to perform natural ventilation or not, natural ventilation and air conditioning by the air conditioning equipment 40 may be performed in parallel.

[0073] In this embodiment, since the air conditioning by the air conditioning equipment 40 also affects the airflow inside the stadium 80, the input information for the airflow distribution prediction model 13C also includes information showing the air conditioning status by the air conditioning equipment 40.

[0074] Furthermore, in the above explanation, no mention is made of the interval at which the processes from step 102 to step 114 are repeated. However, these processes are usually repeated at preset time intervals (e.g., 15 minutes, 30 minutes, etc.) and may be executed instantly when a sudden problem occurs, such as a sudden strong wind, rainfall, noise, etc.

[0075] As described above, according to this embodiment, the measurement results of the wind direction and wind speed outside the target building are acquired, and the acquired wind direction and wind speed are used to derive the airflow distribution inside the building in real time for each of a plurality of combinations of predetermined opening states of the openings of the building, and the opening state of the opening is selectively applied from among the derived airflow distributions, which corresponds to an airflow distribution suitable for the type of event held inside the building, to control the opening state of the opening. Therefore, natural ventilation that is more suitable for the target of use can be performed compared to conventional techniques. Furthermore, as a result, the use time of natural ventilation can be extended, which can contribute to the promotion of an oxygen-free society.

[0076] According to this embodiment, the events include at least one of a first event in which at least a part of the interior of the building is adversely affected by wind, and a second event in which at least a part of the interior of the building is favorably affected by wind. Therefore, natural ventilation suitable for at least one of an event adversely affected by wind and an event favorably affected by wind can be performed.

[0077] According to this embodiment, the first event is a sports event, and the second event is at least one of a music event setup and an exhibition. Therefore, natural ventilation suitable for at least one of a sports event, a music event setup and an exhibition can be performed.

[0078] Furthermore, according to this embodiment, the measurement results and information indicating the opening state of the opening of the building are used as input information, information indicating the airflow distribution inside the building is used as output information, and the airflow distribution is derived using an airflow distribution prediction model that has been machine-learned in advance for the building. Therefore, the airflow distribution can be derived more accurately than when the airflow distribution is derived without using the airflow distribution prediction model.

[0079] Although not mentioned in the above embodiment, for example, a configuration may be adopted in which control is further performed to switch the opening state of the opening 82 in response to a change in the implementation status of the event.

[0080] In this case, for example, in baseball, a control can be performed to keep the ground as windless as possible while there is wind in the spectator seats during play, and to adjust the wind to both the ground and the spectator seats at the changeover of each inning. This allows natural ventilation to be performed more appropriately according to the implementation situation of the event.

[0081] In the above embodiment, an example in which the human presence sensor 74 in the indoor sensor 70 is not used has been described, but the present invention is not limited to this. For example, in an area with a high human density detected by the human presence sensor 74, the opening state of the opening 82 may be adjusted to allow air to flow actively.

[0082] In addition, the various numerical values ​​applied in the above embodiment are merely examples, and it goes without saying that they can be modified without departing from the spirit of the present invention. In addition, the airflow distribution prediction model 13C applied in the above embodiment may be adapted to improve prediction accuracy during actual operation by feeding back airflow velocity values ​​measured at multiple points inside the building (stadium 80) to which it is applied.

[0083] In the above embodiment, for example, the hardware structure of the processing unit that executes each process of the acquisition unit 11A, the derivation unit 11B, and the control unit 11C may be the various processors shown below. As described above, the various processors include a CPU, which is a general-purpose processor that executes software (programs) and functions as a processing unit, as well as a programmable logic device (PLD), which is a processor whose circuit configuration can be changed after manufacture such as an FPGA (Field-Programmable Gate Array), a dedicated electric circuit, which is a processor having a circuit configuration designed specifically for executing a specific process such as an ASIC (Application Specific Integrated Circuit), etc.

[0084] The processing unit may be configured with one of these various processors, or may be configured with a combination of two or more processors of the same or different types (for example, a combination of multiple FPGAs, or a combination of a CPU and an FPGA).The processing unit may also be configured with a single processor.

[0085] As an example of configuring the processing unit with one processor, first, there is a form in which one processor is configured with a combination of one or more CPUs and software, as represented by computers such as client and server, and this processor functions as the processing unit. Second, there is a form in which a processor is used that realizes the functions of the entire system including the processing unit with one IC (Integrated Circuit) chip, as represented by System On Chip (SoC), etc. In this way, the processing unit is configured using one or more of the above various processors as a hardware structure.

[0086] Furthermore, more specifically, the hardware structure of these various processors can be an electric circuit that combines circuit elements such as semiconductor elements. [Explanation of symbols]

[0087] 10 Ventilation control device 11 CPU 11A Acquisition Department 11B Derivation part 11C Control section 12. Memory 13 Storage section 13A Ventilation Control Program 13B Optimal Airflow Distribution Database 13C Airflow distribution prediction model 14 Input section 15 Display 16 Media Read / Write Device 17 Recording media 18 Communication I / F section 60 Outdoor Sensors 62 Wind direction and speed sensor 64 Temperature and Humidity Sensor 66 Rainfall Sensor 68 Noise Sensor 70 Indoor Sensor 72 Wind direction and speed sensor 74 Human Sensor 76 Temperature and Humidity Sensor 80 Stadium 82 Opening 84 Openings

Claims

1. An acquisition unit that acquires measurement results of wind direction and wind speed outside a target building; a derivation unit that uses the wind direction and the wind speed acquired by the acquisition unit to derive an airflow distribution inside the building in real time for each of a plurality of combinations of predetermined opening states of the openings of the building; a control unit that selectively applies an opening state of the opening portion that corresponds to an airflow distribution suitable for a type of event held inside the building from among the airflow distributions derived by the derivation unit, and controls the opening state of the opening portion; A ventilation control device comprising:

2. The event includes at least one of a first event in which at least a portion of an interior of the building is adversely affected by wind and a second event in which at least a portion of an interior of the building is beneficially affected by wind. The ventilation control device according to claim 1 .

3. the first event is a sporting event; The second event is at least one of a music event setup and an exhibition. The ventilation control device according to claim 2 .

4. the derivation unit receives as input information the measurement results and information indicating an opening state of the opening of the building, receives as output information information indicating an airflow distribution inside the building, and derives the airflow distribution using an airflow distribution prediction model that has been machine-learned in advance for the building. The ventilation control device according to claim 1 .

5. The control unit further performs control to switch the opening state in response to a change in the implementation status of the event. The ventilation control device according to claim 1 .

6. Obtaining wind direction and speed measurements outside the target building; deriving an airflow distribution inside the building in real time for each of a plurality of combinations of predetermined opening states of the openings of the building using the acquired wind direction and wind speed; selectively applying an opening state of the opening portion corresponding to an airflow distribution suitable for a type of event held inside the building from among the derived airflow distributions, thereby controlling the opening state of the opening portion. A ventilation control program that causes a computer to execute the processing.

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