JP7656817B2 - Model generation device, model generation method and program - Google Patents

Description

The present disclosure relates to a model generation device, a model generation method, and a program, and in particular to a model generation device, a model generation method, and a program that generate a model of a building using information about the structures that make up the building, and information about building objects including air conditioning equipment and furniture arranged in the building.

During the design stage of a building, the required ventilation volume within the building is calculated based on the Building Standards Act and other regulations, a ventilation calculation table is created based on the required ventilation volume, and ventilation equipment is selected and positioned. Traditionally, ventilation calculation tables were created manually by workers, but in recent years, ventilation calculation tables have been easily created using BIM (Building Information Modeling).

For example, Patent Document 1 discloses that attribute information for implementing BIM (Building Information Modeling) is used to calculate ventilation volume and perform air balance design. According to Patent Document 1, ventilation calculation tables and air balance diagrams can be output using BIM during design, and can be used for sick house countermeasures, etc.

JP 2019-67083 A

In the technology disclosed in Patent Document 1, the layout of ventilation equipment is designed to comply with standards such as the Building Standards Act. In other words, the layout of ventilation equipment is designed so that the ventilation volume throughout the building is above a certain level. However, the technology disclosed in Patent Document 1 has a problem in that it is not possible to design the layout of equipment within a building taking into account the people who will be present in the building when the building is in use. For example, it is not possible to flexibly design the layout of equipment within a building taking into account infection control measures.

The present disclosure has been made in consideration of the above circumstances, and aims to provide a model generation device, a model generation method, and a program that generate a model that can be used to design a building so as to maintain the air quality around people who may be staying within the building space during the building design stage.

In order to solve the above problem, a data generation device according to an embodiment of the present disclosure is a model generation device that generates a model of a building using information regarding objects of the building, including structures constituting a building, ventilation equipment to be placed in the building, furniture to be placed in the building, and a diffusion device to be placed in the building for diffusing a sterilizing substance, the model generation device including a processor and a memory, and the processor uses the memory to obtain human attribute information, which is information regarding a person associated with a human attribute object that is an object among the objects where a person may be staying and is provisionally placed in the building, and obtains information regarding the object of the structure and information regarding the object of the structure within the building. Based on placement information indicating the placement, a concentration distribution of the sterilization substance applied by the diffusion device in at least one space of the building partitioned by the structure is identified, and a placeable area indicating an area in which the human attribute object can be placed within the space is created using the concentration distribution, predetermined air quality conditions, and the human attribute information, and a determination is made using the created placeable area as to whether the position in which the human attribute object is currently placed is acceptable, and if the position is acceptable, the human attribute object at the position is included in the model, and if the position is not acceptable, a required concentration, which is the concentration of the sterilization substance required for the position to be acceptable, is calculated and output based on the concentration distribution, the air quality conditions, and the position.

These general or specific aspects may be realized by an apparatus, a method, a system, an integrated circuit, a computer program, or a recording medium such as a computer-readable CD-ROM, or may be realized by any combination of an apparatus, a method, a system, an integrated circuit, a computer program, and a recording medium.

According to the data generation device etc. disclosed herein, it is possible to generate a model that can be used to design a building so that the concentration of sterilizing substances around people who may be staying within a certain range during the design stage of the building. In other words, according to the data generation device etc. disclosed herein, it is possible to generate a model that can be used to design a building so that the air quality around people who may be staying within the space of the building is maintained during the design stage of the building.

FIG. 1 illustrates an example of a model generating device according to an embodiment. FIG. 1 is a diagram illustrating a configuration of a model generating device according to an embodiment. 13A and 13B are diagrams illustrating a chair object on which one person sits in accordance with an operation example of the embodiment. FIG. 3B is a diagram showing conventional attribute information of the chair object shown in FIG. 3A. FIG. 3B is a diagram showing attribute information according to an embodiment of the chair object shown in FIG. 3A. FIG. 13 is a diagram showing a desk object that can be used by four people at the same time according to an operation example of the embodiment. FIG. 4B is a diagram showing attribute information according to an embodiment of the chair object shown in FIG. 4A. FIG. 2 is a block diagram showing a functional configuration of an arithmetic circuit of the model generating device according to the embodiment. 4 is a flowchart showing an example of the operation of the model generating device according to the embodiment. FIG. 11 is a diagram showing an example of shape data according to an operation example of the embodiment; FIG. 11 is a diagram illustrating an example of spatial information according to an operation example of the embodiment. FIG. 11 is a diagram showing an example of ventilation information according to an operation example of the embodiment. FIG. 11 is a diagram showing an example of concentration distribution of a sterilizing substance according to an operation example of an embodiment. 13A and 13B are diagrams illustrating an example of a concentration distribution in the height direction according to an operation example of the embodiment. 13 is a diagram showing an example of an area in which a chair object can be placed, taking into consideration the height direction of the chair object, in accordance with an operation example of an embodiment; FIG. 13 is a flowchart showing an example of the operation of a model generating device according to a modified example. FIG. 13 is a diagram showing an example of shape data according to a modified example. FIG. 13 is a diagram illustrating an example of spatial information according to a modified example. FIG. 13 is a diagram showing an example of ventilation information according to a modified example. FIG. 13 is a diagram showing an example of a concentration distribution of a disinfecting substance according to a modified example.

A data generation device according to one embodiment of the present disclosure is a model generation device that generates a model of a building using information about objects of the building, including structures constituting a building, ventilation equipment arranged in the building, furniture arranged in the building, and a diffusion device arranged in the building for diffusing a sterilizing substance, and includes a processor and a memory. The processor uses the memory to acquire human attribute information, which is information about a person associated with a human attribute object that is an object among the objects where a person may be staying, and specifies a concentration distribution of the sterilizing substance by the diffusion device in at least one space of the building partitioned by the structure based on information about the object of the structure and placement information indicating the placement of the object of the structure within the building, and creates a placement possible area indicating an area in which the human attribute object can be placed in the space using the concentration distribution, predetermined air quality conditions, and the human attribute information, and places the human attribute object in the placement possible area.

In this way, by creating a possible placement area for human attribute objects based on human attribute information and concentration distribution, it is possible to design the placement of human attribute objects that takes into account the air quality around people who may be staying within the space of the building. This makes it possible to generate a model that can be used to create a design that maintains the concentration of sterilizing substances within a certain range around people who may be staying within the space of the building. In other words, at the design stage of a building, it is possible to generate a model that can be used to create a design that maintains the air quality around people who may be staying within the space of the building.

For example, the processor may further use the created possible placement area to determine whether the position in which the human attribute object is currently placed is acceptable, and if the position is acceptable, include the human attribute object at that position in the model, and if the position is not acceptable, calculate and output a required concentration, which is the concentration of the sterilization substance required for the position to be acceptable, based on the concentration distribution, the air quality conditions, and the position.

Also, for example, the building model may be included in BIM (Building Information Modeling) data.

This allows BIM to be used to not only improve the consistency of data such as drawings, but also reduce the effort and time required when corrections are required.

In addition, a model generation method according to one embodiment of the present disclosure is a model generation method that generates a model of a building using information about objects of the building, including structures constituting a building, ventilation equipment arranged in the building, furniture arranged in the building, and a diffusion device arranged in the building for diffusing a sterilizing substance, and obtains human attribute information that is information about a person associated with a human attribute object that is an object where a person may be staying among the objects, and specifies a concentration distribution of the sterilizing substance by the diffusion device in at least one space of the building partitioned by the structures based on information about the objects of the structures and placement information indicating the placement of the objects of the structures within the building, creates a placement area indicating an area in which the human attribute object can be placed in the space using the concentration distribution, predetermined air quality conditions, and the human attribute information, and places the human attribute object in the placement area.

In addition, a program according to one embodiment of the present disclosure is a program for causing a computer to execute a model generation method for generating a model of a building using information about objects of the building, including structures constituting a building, ventilation equipment arranged in the building, furniture arranged in the building, and a diffusion device arranged in the building for diffusing a sterilizing substance, and the program obtains human attribute information, which is information about a person associated with a human attribute object that is an object where a person may be staying among the objects, and specifies a concentration distribution of the sterilizing substance by the diffusion device in at least one space of the building partitioned by the structures based on information about the objects of the structures and placement information indicating the placement of the objects of the structures within the building, creates a placeable area indicating an area in which the human attribute object can be placed in the space using the concentration distribution, predetermined air quality conditions, and the human attribute information, and places the human attribute object in the placeable area.

(Embodiment)
[Hardware configuration]
FIG. 1 is a diagram showing an example of a model generating device 1 according to the present embodiment.

The model generation device 1 is configured from a personal computer or the like, and acquires object data and placement information. In this embodiment, the model generation device 1 generates a model to be generated by BIM based on the acquired object data and placement information.

Figure 2 shows the configuration of the model generation device 1 in this embodiment.

The model generation device 1 includes an input unit 10, an arithmetic circuit 11, a memory 12, an output unit 13, a storage unit 14, a communication unit 15, and a database 16.

The communication unit 15 communicates with a device external to the model generating device 1. The communication may be wireless or wired. The wireless communication method may be Wi-Fi (registered trademark), Bluetooth (registered trademark), or ZigBee, or may be another method. For example, the communication unit 15 communicates with an external device and receives a data set Ds held by the device.

The input unit 10 functions as an HMI (Human Machine Interface) that accepts input operations by the user, and includes, for example, a keyboard, a mouse, a touch sensor, a touch pad, etc.

The output unit 13 has a display that displays images or characters, and the display is, for example, a liquid crystal display, a plasma display, or an organic EL (Electro-Luminescence) display. The output unit 13 may also have a printer that prints images or characters, and may have a function of storing data output from the arithmetic circuit 11 in the memory unit 14.

The storage unit 14 stores a program (i.e., a computer program) 104a in which each command to the arithmetic circuit 11 is written. The storage unit 14 may also store each temporary data 104b temporarily generated by the processing of the arithmetic circuit 11. The storage unit 14 is a non-volatile recording medium, such as a magnetic storage device such as a hard disk, an optical disk, or a semiconductor memory. The program 104a is provided to the model generating device 1 via, for example, a removable medium or a network, and is stored in the storage unit 14. The removable medium is, for example, a CD-ROM (Compact Disc Read Only Memory), a flash memory, or the like. For this reason, the communication unit 15 may be provided with an interface for reading the program 104a from the removable medium.

The memory 12 temporarily stores the program 104a that is read and expanded by the arithmetic circuit 11. Such a memory 12 is, for example, a volatile RAM (Random Access Memory).

The arithmetic circuit 11 is a circuit that executes the program 104a expanded in the memory 12, and is, for example, a CPU (Central Processing Unit) or a GPU (Graphics Processing Unit). When executing the program 104a, the arithmetic circuit 11 may use each temporary data 104b stored in the storage unit 14.

The database 16, like the storage unit 14, is a non-volatile recording medium, for example, a magnetic storage device such as a hard disk, an optical disk, a semiconductor memory, etc. For example, the arithmetic circuit 11 acquires BIM data and human attribute information from an external device via the network and the communication unit 15, and stores the acquired BIM data and human attribute information in the database 16.

In this embodiment, the storage unit 14 and the database 16 are separate recording media, but the storage unit 14 and the database 16 may be configured as a single recording medium that includes them.

[BIM data]
The BIM data and human attribute information included in the database 16 shown in Fig. 2 can be acquired from an external device. The BIM data includes object data, location information, and a 3D model of a building.

BIM constructs a building in a virtual three-dimensional space (3D space) on a computer based on object data and layout information associated with the object data, and creates a 3D model of the building on the computer. With BIM, information related to planning, design, construction, and maintenance is centralized and utilized. For this reason, using BIM can improve the consistency of drawings at the time of design, and also reduce the effort and time required for corrections.

A 3D model of a building created with BIM includes objects such as building material parts and fixtures. The objects include foundation structure objects such as building material parts and fixtures, ventilation equipment objects such as air intakes and exhausts, furniture objects such as desks and chairs, and diffusion device objects for diffusion devices.

Foundation structure objects are objects that make up the structure of a building, such as walls, columns, and fixtures. In the design stage of a building, a basic design drawing for the structure of the building is first created, for example, to visualize the concept of the building. The placement of the foundation structure objects is determined in the basic design. The placement information included in the BIM data includes information indicating the positions of objects within the building, and is associated with the foundation structure object data. A 3D model of the building is generated based on the foundation structure object data and the placement information associated with the foundation structure object data.

A ventilation equipment object is an object related to the ventilation of a building, such as an air intake, exhaust, and air conditioning equipment. The object data of a ventilation equipment object is also called HVAC (Heating, Ventilation, and Air Conditioning) data. HVAC refers to an air conditioning system that includes heating, ventilation, and air conditioning. A ventilation equipment object is a ventilation equipment object that is fixed to a foundation structure object. The placement of the ventilation equipment object is determined in the detailed design. In the detailed design, the specific specifications of the ventilation equipment object and the furniture object are determined based on the basic design drawing, and a detailed design drawing (model) that reflects the determined specifications is created. The position of the ventilation equipment object may be determined during the basic design.

Furniture objects are objects related to furniture that are placed in a building, such as chairs, desks, and storage shelves. Furniture objects include ventilation-related objects that are not fixed to foundation structure objects, such as electric fans and air purifiers. In other words, furniture objects are objects whose placement can be changed after the building is designed and while the building is in use. The placement of furniture objects is determined after the placement of ventilation equipment objects is determined during basic design.

Diffusion device objects are objects related to diffusion devices that are placed in buildings, such as diffusion devices for diffusing sterilizing substances. Diffusion device objects include ventilation-related objects that are not fixed to foundation structure objects, such as electric fans and air purifiers. The placement of diffusion device objects is determined during basic design, after the placement of ventilation equipment objects has been determined.

An object represents some kind of entity that is the subject of processing by the model generation device 1, and object data represents that object as a collection of symbols and numerical values. Object data includes 3D information about the object, as well as attribute information such as dimensions, material, performance, and material unit price. Attribute information is information that indicates attributes, and is information that indicates unique information and characteristics about an object. Object data includes multiple object data.

For example, Figures 3A and 3B show object data for a chair object, which is an example of a furniture object. The chair object shown in Figure 3A is one of the objects provided by, for example, the Revit User Group (RUG). The 3D shape of the chair shown in Figure 3A is the 3D information of the chair object. Furthermore, the constraints, material/finish, dimensions, and identification information shown in Figure 3B are attribute information of the chair object. The attribute information shown in Figure 3B is attribute information included in a chair object for one person to sit on, provided by, for example, the RUG (Revit User Group).

[Personal attribute information]
The person attribute information is associated with objects included in the BIM data where a person may stay. An object associated with the person attribute information is called a person attribute object. A person attribute object is an object where a person may stay, such as a desk, a chair, or a bed. A person attribute object may be a furniture object, a diffusion device object, a ventilation equipment object, or a foundation structure object. In addition to conventional BIM data, the present disclosure uses person attribute information.

The human attribute information includes, for example, the number of people, the direction, the human coordinates, and the staying rate. The number of people may be the maximum number of people expected to stay around the human attribute object. The direction may be the face direction that a person is expected to face when staying around the human attribute object. The human coordinates may be the face coordinates of a person staying around the human attribute object when staying around the human attribute object. The staying rate may indicate, in percentage, how long a person is expected to stay around the human attribute object during a specified time when staying around the human attribute object. The staying rate can be used, for example, to calculate the power consumption of ventilation equipment, and further, the total cost can be calculated by using the lifetime power consumption and the initial cost. Therefore, the staying rate can be used as useful information when selecting ventilation equipment. Note that people staying around the human attribute object means that people stay at a specified distance from the center or end of the human attribute object, and the specified distance may be set by the user.

Figure 3C shows attribute information of the chair object shown in Figure 3A and person attribute information associated with the chair object. The person attribute information includes the number of people, orientation, person coordinates X to Z, and dwell rate. The number of people indicates the number of people expected to sit on the chair object shown in Figure 3A, and in the example shown in Figure 3C, it is one person. The orientation indicates the orientation of the face of a person when sitting on the chair object shown in Figure 3A, and in the example shown in Figure 3C, it is the front direction. The person coordinates X, Y, and Z are the coordinates of the face of a person when sitting on the chair object shown in Figure 3A, and are 0, 0, and 1200 in the example shown in Figure 3C. The person coordinates X and Y of the chair object shown in Figure 3A are 0. The origin of the XY coordinates is the center of the chair object. On the other hand, the person coordinate Z is the height of the face of a person when sitting on the chair object shown in Figure 3A, so it is 1200 (mm). The dwell rate indicates the percentage of time spent in (sitting on) the chair object shown in Figure 3A during one hour, and in the example shown in Figure 3C, it is 80%.

The person attribute information of the person attribute object as shown in FIG. 3A can be obtained by, for example, an add-on function of the BIM after obtaining conventional attribute information as shown in FIG. 3B. In this case, the model generation device 1 uses the add-on function of the BIM to obtain the person attribute information of the person attribute object from a server that provides the person attribute information of the person attribute object via the Internet.

Figure 4A is a diagram showing a desk object that can be used by four people at the same time according to an example of the operation of this embodiment. Figure 4B is a diagram showing attribute information according to this embodiment of the desk object shown in Figure 4A.

The furniture object having the person attribute information as described above is not limited to a chair object, but may be a desk object. Figures 4A and 4B show object data of a desk object, which is an example of a furniture object. The desk object shown in Figure 4A is one of the objects provided by RUG, for example. The 3D shape of the desk shown in Figure 4A is the 3D information of the desk object. The attribute information shown in Figure 4B is attribute information included in a desk object that can be used by four people at the same time, which is provided by RUG, for example. The attribute information according to this embodiment shown in Figure 4B includes person attribute information corresponding to the desk object shown in Figure 4A. The example of person attribute information shown in Figure 4B includes information related to identification information items such as the number of people, direction, person coordinates X to Z, and dwell rate. These contents are as described above, so detailed explanations will be omitted here.

[Functional configuration]
FIG. 5 is a block diagram showing the functional configuration of the arithmetic circuit 11. As shown in FIG.

The calculation circuit 11 executes the program 104a to realize multiple functions for generating a building model. Specifically, the calculation circuit 11 includes an acquisition unit 112, a calculation unit 113, and a result output unit 114. These components are realized by the execution of the program 104a by the calculation circuit 11.

By executing program 104a, the arithmetic circuit 11 realizes multiple functions for generating a building model in BIM using information about the structures that make up the building, as well as information about the building's objects, including ventilation equipment, diffusion devices, and furniture that are placed in the building.

[Acquisition unit 112]
The acquisition unit 112 acquires object data and person attribute information. More specifically, the acquisition unit 112 acquires at least the object data and the person attribute information associated with a person attribute object among the objects.

In this embodiment, the acquisition unit 112 acquires data for generating a BIM. As data for generating a BIM, the acquisition unit 112 acquires, for example, information about structures that constitute a building, and information about building objects including ventilation equipment, diffusion devices, and furniture that are arranged in the building. In addition, the acquisition unit 112 acquires predetermined air quality conditions as data for generating a BIM.

[Calculation unit 113]
The calculation unit 113 performs calculations to generate a model of a building using BIM. The calculation unit 113 may generate the model on the cloud.

In this embodiment, the calculation unit 113 generates the model using the data for generating the BIM acquired by the acquisition unit 112.

The calculation unit 113, for example, uses information about structures and objects acquired by the acquisition unit 112 to identify the concentration distribution of the sterilization substance by the diffusion device in at least one space of a building partitioned by structures. Information about structures and objects includes, for example, object data, placement information associated with the object data, and human attribute information. In addition, the calculation unit 113 creates a placement possible area indicating an area in which human attribute objects can be placed in space, using the identified concentration distribution, predetermined air quality conditions, and human attribute information.

The placement area indicates whether or not a human attribute object can be placed, and is an area where furniture can be placed so that people can stay while maintaining air quality.

The calculation unit 113 may also use the created placement area to determine whether the position where the human attribute object is currently placed is acceptable. If the calculation unit 113 determines that the position is acceptable, it may generate a model including the human attribute object at that position. On the other hand, if the calculation unit 113 determines that the position is not acceptable, it may calculate a required concentration, which is the concentration required for the position to be acceptable, based on the identified concentration distribution, predetermined air quality conditions, and the position, and output the result to the result output unit 114. The calculation unit 113 can output not only the required concentration, but also other information. A specific aspect will be described in the operation example described later.

[Result output unit 114]
The result output unit 114 outputs the model obtained by the calculation unit 113. In addition, the result output unit 114 may output, for example, the arrangement possible area created by the calculation unit 113, or may output a model including a human attribute object arranged based on the arrangement possible area created by the calculation unit 113.

[Operation of model generating device 1]
An example of the operation of the model generating device 1 configured as above will be described below.

Figure 6 is a flowchart showing an example of the operation of the model generation device 1 according to this embodiment.

Figure 7 is a diagram showing an example of shape data relating to an operation example of this embodiment. Figure 8 is a diagram showing an example of spatial information relating to an operation example of this embodiment. Figure 9 is a diagram showing an example of ventilation information relating to an operation example of this embodiment.

The operation example shown in FIG. 6 is performed during the implementation design, so the creation of the basic design drawing for the structure of the building has been completed. In other words, the placement information of the foundation structure object has been determined. The 3D model of the building after the basic design is defined as the initial model. The initial model is a model generated from the data of the foundation structure object and the placement information associated with them. The initial model may not include the ventilation equipment object, the diffusion device object, and the furniture object. In this operation example, the shape of the room of the building divided by rooms and corridors, etc. is determined by the plan view or elevation view, and an initial model including the room plan view 100 shown in FIG. 7, for example, is determined. In the example shown in FIG. 7, the shape of the room is determined, and an air intake port object 122 indicating an object of an air intake port and an exhaust port object 121 indicating an object of an exhaust port are arranged in the space 123 indicating the space of the room. In addition, in the example shown in FIG. 7, a diffusion port object 124 indicating an object of a diffusion port through which the diffusion device diffuses a substance (sterilization substance) that sterilizes the air quality is also arranged. Here, the placement of the air intake object 122, the placement of the exhaust port object 121, and the placement of the diffusion port object 124 are determined once for the purpose of generating the model, but it is also possible to change the placement after generating the model.

First, the model generating device 1 generates and acquires spatial information of the target space from the BIM data (S1). Specifically, the acquisition unit 112 of the model generating device 1 generates spatial information based on an initial model in the BIM data. In this operation example, the target space is a room for which an arrangement possible area is to be specified. The spatial information is information indicating the object and information indicating the size of the space. The acquisition unit 112 of the model generating device 1 acquires, for example, spatial information shown in FIG. 8 from an initial model including the room floor plan 100 shown in FIG. 7 generated at the time of basic design as information regarding the spatial arrangement of objects and information regarding their shapes. In the example of spatial information shown in FIG. 8, information such as a building ID, a room ID, a space ID, an area, and a volume, an exhaust vent ID of an exhaust vent object 121 existing in a space 123 linked to the space ID, an intake vent ID of an intake vent object 122, and a diffusion vent ID of a diffusion vent object 124 are shown. Note that the model generation device 1 acquires a room plan view 100 as shown in FIG. 7 from the initial model, but is not limited to this, and may acquire a three-dimensional view of the room from the initial model.

Next, the model generating device 1 acquires ventilation information for the space from the HVAC data (S2). Note that in this operation example, the user provisionally determines the approximate placement position of the equipment in advance using the model generating device 1, and includes the provisionally determined placement position of the equipment in the HVAC data. The ventilation information is information about the object that ventilates the space.

In this embodiment, the acquisition unit 112 of the model generating device 1 acquires ventilation information of the target space from the HVAC data. In this operation example, the model generating device 1 acquires, for example, ventilation information shown in FIG. 9, that is, the spatial arrangement and ventilation capacity of the HVAC object, from the HVAC object included in the HVAC data generated at the time of basic design. In the example of ventilation information shown in FIG. 9, control information of the ventilation attribute IN, air volume QA, and wind direction DA for the air intake port object 122 indicated by the ID of O11, and control information of the ventilation attribute OUT, air volume QB, and wind direction DB for the exhaust port object 121 indicated by the ID of I11 are shown. In addition, the ventilation information shown in FIG. 9 includes diffusion information, and the control information of the ventilation attribute OUT, air volume QC, and wind direction DC for the diffusion port object 124 indicated by the ID of D11 is shown as the diffusion information. Note that OUT means exhaust, and IN means supply. 9 also shows the X and Y coordinates in the room plan 100 shown in FIG. 7 as the placement information of the air intake object 122 with an ID of O11 and the air exhaust object 121 with an ID of I11. Furthermore, FIG. 9 also shows the X and Y coordinates in the room plan 100 shown in FIG. 7 as the placement information of the diffusion port object 124 with an ID of D11. Note that the model generation device 1 is not limited to acquiring the planar placement and planar ventilation capacity and diffusion capacity as shown in FIG. 9 as the ventilation information including diffusion information. The model generation device 1 may also acquire a three-dimensional placement and three-dimensional ventilation capacity and diffusion capacity as the ventilation information and diffusion information. Returning to FIG. 6, the operation example will be continued below.

Next, the model generating device 1 uses the information acquired in steps S1 and S2, i.e., the space information and ventilation information, to identify the concentration distribution of the sterilizing substance, which indicates the distribution of the concentration of the sterilizing substance in the space (S3).

Figure 10 shows an example of the concentration distribution of the sterilizing substance in an example of the operation of this embodiment.

In this operation example, the calculation unit 113 of the model generation device 1 uses data for generating the BIM, that is, the spatial information and ventilation information acquired in steps S1 and S2, to specify the concentration distribution of the sterilization substance by the diffusion device in the space. Here, the sterilization substance may be, for example, OH radicals, hypochlorous acid water or hypochlorous acid gas, but is not limited to these, and may be any substance that can sterilize, such as alcohol, ozone, or hydrochloric acid. In addition, the model generation device 1 specifies the concentration distribution of the sterilization substance, which indicates an area in the space where a certain range of concentration can be secured, as shown in FIG. 10, for example. In the example shown in FIG. 10, a concentration distribution diagram 300 including areas in which the concentration of the sterilization substance in the room plan diagram 100 shown in FIG. 7 is indicated as the concentration distribution of the sterilization substance, is shown. The region indicated as 10 ppb indicates a concentration distribution region that is 10 ppb or more and less than 50 ppb, the region indicated as 50 ppb indicates a concentration distribution region that is 50 ppb or more and less than 100 ppb, and the region indicated as 100 ppb indicates a concentration distribution region that is 100 ppb or more and less than 500 ppb. Furthermore, the model generating device 1 is not limited to specifying a two-dimensional concentration distribution as shown in FIG. 10 as the concentration distribution, and may specify a three-dimensional concentration distribution. Returning to FIG. 6 below, the operation example will be continued.

Next, the model generating device 1 creates and outputs a placement area in which a predetermined object can be placed using the concentration distribution specified in step S3, the predetermined air quality conditions, and the attribute information of the data for generating the BIM (S4). In this embodiment, the calculation unit 113 of the model generating device 1 creates a placement area indicating an area in which a human attribute object can be placed in the space using the concentration distribution specified in step S3, the predetermined air quality conditions, and the person attribute information of the person attribute object of the data for generating the BIM to be placed in the space. In addition, air quality information, which is information indicating an area in the space that satisfies the air quality conditions, may be created, and the placement area may be created and output using the air quality information, the predetermined air quality conditions, and the attribute information of the data for generating the BIM. However, in this operation example, the area indicated by the air quality information and the concentration distribution specified in step S3 are omitted because they match. In addition, the predetermined air quality conditions are conditions for maintaining air quality set by standards of public institutions such as laws and regulations, and are described as the required concentration in this operation example. In the case of hypochlorous acid gas, the required concentration is 500 ppb or less, which is the safety standard for chlorine gas, and 10 to 15 ppb or more, which inactivates viruses. This required concentration is not limited to the standard of an official institution, and may be, for example, a value set by the user. Furthermore, if there is an area in the concentration distribution identified in step S3 where the concentration is equal to or greater than 500 ppb, which is the safety standard for chlorine gas, the model generating device 1 adjusts the spray concentration so that it does not exceed 500 ppb by adjusting the diffusion information such as the air volume of the diffusion port object 124 of D11 shown in FIG. 9. The model generating device 1 then returns to step S3, and using the space information and the corrected ventilation information, it is sufficient to again identify the concentration distribution showing the distribution of the concentration of the sterilizing substance in the space, and then create a possible placement area.

In addition, in this operation example, when placing a chair object as shown in FIG. 3A, for example, the model generating device 1 can place a chair object on which one person can sit in all areas shown in the density distribution diagram 300 of FIG. 10 identified in step S4. Similarly, in this operation example, when placing a desk object as shown in FIG. 4A, for example, the model generating device 1 can place a desk object on which four people can sit in all areas shown in the density distribution diagram 300 of FIG. 10 identified in step S4. Therefore, the model generating device 1 can create all areas shown in the density distribution diagram 300 of FIG. 10 identified in step S4 as possible areas for placement. Note that the model generating device 1 may create the possible areas by limiting the area of the density distribution shown in the density distribution diagram 300.

Note that the concentration of the sterilizing substance used to create the concentration distribution diagram 300 shown in FIG. 10, i.e., the possible placement area, is the average concentration of the sterilizing substance at a given height in space, so the model generation device 1 may be caused to create a possible placement area taking into account the height of a person's face when sitting on the chair object (person coordinate Z). This case will be described below.

Fig. 11 is a diagram showing an example of the density distribution in the height direction in an operation example of this embodiment. The dashed line shown in the density distribution diagram 310 of Fig. 11 represents the height of the face (coordinate Z = 1200). Fig. 12 is a diagram showing the placement area taking into account the height direction of the chair object in the operation example of this embodiment.

That is, in this operation example, in step S3, the model generating device 1 identifies a three-dimensional concentration distribution as shown in the concentration distribution diagram 310 in FIG. 11.

Next, in step S4, the model generating device 1 creates a placeable area 411 taking into consideration the height direction as shown in the placeable area diagram 410 of FIG. 12 as the placeable area for a chair object on which one person can sit. In the example shown in FIG. 12, the model generating device 1 creates an area (width) that corresponds to the height of the face among the areas shown by the density distribution in FIG. 11 as the placeable area taking into consideration the height direction.

The model generating device 1 may then display only the area where the planar placement area restricted to the concentration distribution area shown in FIG. 10 overlaps with the placement area 411 taking into account the height direction shown in FIG. 12 in two dimensions or three dimensions as the placement area of the chair object for convenience. Note that while a chair object has been used as an example, the same applies to a desk object, and the same can be said for any human attribute object such as furniture.

Next, the model generating device 1 places the person attribute object using the placeable area of the person attribute object created in step S4 (S5). In this operation example, the calculation unit 113 of the model generating device 1 automatically places the person attribute object on the room floor plan 100 shown in FIG. 7 using the placeable area of the person attribute object such as furniture created in step S4. Here, for example, in Revit, which is a BIM tool from Autodesk, various tasks can be automated by using a script language called Dynamo or a function such as Autodesk Revit API. By using this function, the model generating device 1 can automatically place the person attribute object on the room floor plan 100 shown in FIG. 7 using the placeable area of the person attribute object created in step S4.

In step S4, the model generating device 1 has been described as obtaining a possible placement area diagram as a creation result, but obtaining this diagram is not essential as long as the possible placement area can be identified. For example, the model generating device 1 may use the concentration distribution diagram obtained as the identification result in step S3 to limit the possible placement area to the area of the concentration distribution diagram, and then perform the process of step S5 in the same manner as described above.

Furthermore, after the operation shown in FIG. 6, i.e., after processing of step S5, the model generation device 1 generates a model including the placed human attribute object.

[Effects, etc.]
As described above, according to this embodiment, a BIM model can be generated at the design stage of a building, allowing for a design that maintains the air quality around people who may be staying within the building space.

More specifically, there is a high probability that people will linger on or around certain furniture placed in a building. For example, if the furniture is a chair, there is a high probability that people will sit (linger) on the chair, and if the furniture is a desk, there is a high probability that people will linger around it. For this reason, it is desirable to maintain a certain level of air quality around furniture where people are likely to linger.

However, conventional building design only involves designing the placement of ventilation equipment to constantly ventilate a constant amount of air inside the building.

In contrast, in this embodiment, attribute information about people (person attribute information) is further included in the attribute information of objects (person attribute objects) that indicate furniture such as desks and chairs where people may be staying. Then, the model generation device 1 creates a placeable area for the person attribute object using the concentration distribution of the sterilization substance by the diffusion device and the person attribute information. This allows the model generation device 1 or the designer to easily use the placeable area of the created person attribute object to place the person attribute object taking into account the air quality around people who may be staying within the space of the building. Therefore, the model generation device 1 or the designer can generate a model that allows for a design to maintain the concentration of the sterilization substance around people who may be staying within the space of the building within a certain range during the design stage of the building.

In addition, according to this embodiment, the model generating device 1 may display the identified concentration distribution by superimposing it on a room floor plan included in the shape data. In this case, the model generating device 1 or the designer can easily design the placement and capacity of the HVAC equipment. Furthermore, by using the identified concentration distribution map as air quality information or a possible placement area in a diagram, the model generating device 1 or the designer can easily place human attribute objects that can maintain the air quality around people even if they stay for a long time.

In the above, it has been explained that only the diffusion device, the air supply equipment, and the exhaust equipment are arranged in the space shown in the room plan, and that the ventilation air speed and the diffusion air speed of the sterilizing substance are constant values, but this is not limited to the above. If the ventilation air speed and the diffusion air speed can be controlled, the maximum values can be calculated and used to determine the concentration distribution of the sterilizing substance taking into account the ventilation air speed. Furthermore, if there is equipment other than the air supply equipment and the exhaust equipment, such as an air conditioner, the concentration distribution of the sterilizing substance described above can be determined by taking into account the wind speed and wind direction of each. This allows processing similar to that described in the above operation example to be performed.

In the above, it has been described that an area where a human attribute object can be placed is created and the placement of the human attribute object is then determined, but this is not limited to the above. A placement-impossible area where the air quality (i.e., the concentration of the sterilization substance within a certain range) cannot be ensured even if a human attribute object is placed can instead be created and the placement of the human attribute object can then be determined, with the same effect being obtained.

(Modification)
The operation example of the model generating device 1 is not limited to the above-described example. Another operation example of the model generating device 1 will be described below as a modified example.

Fig. 13 is a flowchart showing an example of the operation of the model generating device 1 according to the modified example. Fig. 14 is a diagram showing an example of shape data according to the modified example. Fig. 15 is a diagram showing an example of spatial information according to the modified example. Fig. 16 is a diagram showing an example of ventilation information according to the modified example.

The operation example shown in FIG. 13 is performed during layout design, when the designer manually performs the layout (placement) of furniture, etc., during or after the detailed design. Therefore, before this operation example is performed, the creation of the basic design drawing for the architectural structure of the building is completed, and the shape of the rooms in the building is also determined. In addition, in this modified example, the design of the placement and capacity of the HVAC equipment and the layout of furniture such as chairs and desks are also provisionally determined before the operation example shown in FIG. 13 is performed. That is, as shown in FIG. 14, in the room floor plan 150, a chair object 151 indicated by an ID of H01 and a desk object 152 indicated by an ID of H02 are further provisionally determined (provisionally placed) compared to the room floor plan 100 shown in FIG. 7. In addition, the provisionally placed chair object 151 and desk object 152 have placement information such as the number of available people and placement position set in advance in the attribute information as person attribute information.

In the following, the matters already explained in the above embodiment will be omitted as appropriate, and the explanation of the operation example will focus on the differences from the above embodiment.

First, the model generating device 1 acquires spatial information of the target space from the shape data (S11). In this modified example, the model generating device 1 acquires, for example, spatial information shown in FIG. 15 from the shape data including the room floor plan 150 shown in FIG. 14, that is, information regarding the spatial arrangement and shape of objects located on the room floor plan 150. Note that the spatial information shown in FIG. 15 is the same as the spatial information shown in FIG. 8, so a detailed description thereof will be omitted here.

Next, the model generating device 1 acquires ventilation information for the space from the provisionally placed HVAC object (S12). In this modified example, the model generating device 1 acquires the ventilation information shown in FIG. 16 from the provisionally placed HVAC object as shown in FIG. 14. Note that the ventilation information shown in FIG. 16 is the same as the ventilation information shown in FIG. 9, so a detailed description thereof will be omitted here.

Next, the model generation device 1 acquires person attribute information from the provisionally placed person attribute object (S13). In this modified example, the model generation device 1 acquires placement information included in the person attribute information associated with the desk object 152 and chair object 151, which are provisionally placed as shown in FIG. 14.

Next, the model generating device 1 uses the information acquired in steps S11 and S12, i.e., the space information and ventilation information, to identify the concentration distribution of the sterilizing substance in the space (S14).

Figure 17 is a diagram showing an example of the concentration distribution of the sterilization substance according to this modified example. In the example shown in Figure 17, a concentration distribution diagram 350 is shown including concentration distribution regions in which the concentrations of the sterilization substance in the room plan diagram 150 shown in Figure 14 are indicated as 10 ppb, 50 ppb, and 100 ppb, as a concentration distribution showing the region in the space where a predetermined concentration can be ensured. Note that the concentration distribution shown in Figure 17 is similar to the concentration distribution shown in Figure 10, and therefore a detailed description thereof will be omitted here.

Next, the model generating device 1 creates a placement area in which a specified object can be placed using the concentration distribution of the sterilization substance identified in step S14, the predetermined air quality conditions, and attribute information of the data for generating the BIM (S15). In this modified example, the calculation unit 113 of the model generating device 1 creates a placement area indicating an area in which a human attribute object can be placed in the space, using the concentration distribution identified in step S13, the predetermined air quality conditions, and human attribute information of the human attribute object to be placed in the space.

In addition, air quality information, which is information indicating the area in the space that satisfies the air quality conditions, may be created, and a placement area may be created and output using the air quality information, the predetermined air quality conditions, and attribute information of the data for generating the BIM. In this modified example, the area indicated by the air quality information and the concentration distribution identified in step S14 are the same, so they are omitted.

In addition, in this modified example, the concentration distribution area identified in step S13 and the possible placement area created in step S14 are the same, so the possible placement area created in step S14 is not illustrated. Note that, for example, the model generating device 1 may use the concentration distribution map obtained as the result of the identification in step S13 to limit the possible placement area to the area of the concentration distribution map, and then perform the processes from step S16 onwards.

Next, the model generation device 1 determines whether the provisionally determined current placement of the human attribute object is permissible (S16). In this modified example, the model generation device 1 uses the possible placement area created in step S15 to determine whether the position where the human attribute object is currently placed is permissible.

In step S16, if the current placement of the human attribute objects is permitted (Yes in S16), the model generation device 1 ends the process shown in FIG. 13 and generates a model including the current placement of the human attribute objects. In this modified example, since the concentration distribution diagram 350 in FIG. 17 is also a placement possible area diagram, it can be seen that the air quality can be ensured with the current placement of the chair object 151 in H01. In other words, the current placement is permitted. Note that, as described above, in this modified example, if the disinfecting substance is hypochlorous acid gas, the air quality must satisfy the concentration range of 500 ppb or less, which is the safety standard for chlorine gas, and 10 to 15 ppb or more, at which viruses are inactivated.

On the other hand, if the current placement of the human attribute object is not permitted in step S16 (No in S16), the model generation device 1 calculates the required density to permit the placement of the current human attribute object (S17).

In this modified example, the concentration distribution diagram 350 in FIG. 17 can also be interpreted as a possible arrangement area diagram, and it can be seen that the air quality cannot be ensured with the current arrangement of the desk object 152 in H02. In other words, the current arrangement is not permitted. For this reason, the model generation device 1 calculates the required amount of spray to allow the current arrangement of the desk object 152 in H02. For example, the model generation device 1 calculates from the concentration distribution diagram 350 in FIG. 17 how much ventilation volume and diffusion volume of the diffusion material (spray volume) are required to allow the current arrangement of the desk object in H02. Specifically, the model generation device 1 calculates the ratio between the current concentration of the diffusion device and the concentration (required concentration) of the sterilization material required to allow the current position, thereby calculating how much ventilation volume and diffusion volume are required to allow the current arrangement of the desk object 152 in H02.

Next, the model generating device 1 asks the user whether or not to modify the ventilation information as shown in FIG. 16 (S18). Modifications to the ventilation information are not limited to modifications to the placement and capacity of the ventilation devices, but may also include modifications to the placement of the diffusion devices, modifications to capacity due to replacement of the diffusion devices, etc.

In step S18, if the ventilation information is to be corrected (Yes in S18), the user or the model generating device 1 uses the corrected ventilation information to start over from step S14. For example, if the sterilization substance is hypochlorous acid gas and the concentration of the diffusing substance in the current arrangement of the desk object 152 of H02 is 5 ppb, the required concentration of the diffusing substance is 10 ppb, so that a concentration about twice as high as the current concentration is required. Here, when correcting the ventilation information, the user or the model generating device 1 may correct the capacity of the replacement diffuser so as to double the diffusion capacity of the diffusing substance. Alternatively, when fixing the current arrangement of the desk object 152 of H02, the distance to the nearest concentration distribution of the diffusing substance (concentration distribution area shown as 10 ppb) may be calculated, and the arrangement of the ventilation device and the diffusion device may be corrected by moving the diffusion port object 124 and the exhaust port object 121 closer by that distance.

On the other hand, if the ventilation information is not to be corrected in step S18 (No in S18), the current human attribute object, whose placement is not permitted, is corrected to be located within the area shown in the possible placement area (S19), and the process is repeated from step S11. For example, the user or the model generation device 1 may correct the placement of the desk object in H02 to be located within the concentration distribution of the nearest diffusive substance (concentration distribution area shown as 10 ppb).

In this way, the model generating device 1 or the equipment designer may modify the ventilation information shown in FIG. 16 by, for example, reselecting the ventilation device and the diffusion device, or rearranging the diffusion port, the air intake port, and the exhaust port so as to modify the ventilation capacity and the diffusion capacity. Alternatively, the model generating device 1 or the equipment designer may modify the position of the desk object of H02 to a position that satisfies the required air quality (concentration of the sterilization substance within a certain range). Note that the model generating device 1 may present these modification method candidates to the equipment designer and have the equipment designer select one, or the equipment designer may modify it himself.

In addition, in step S16, if the placement of the current person attribute object is not permitted (No in S16), the model generation device 1 may automatically correct the placement of the current person attribute object, whose placement is not permitted, to a permitted position. As described above, for example, in Autodesk's BIM tool Revit, it is known that various tasks can be automated by using a script language called Dynamo or a function such as the Autodesk Revit API. Therefore, by using this function, the model generation device 1 can automatically correct the placement of the current person attribute object, whose placement is not permitted, to a permitted position. This makes it easy to perform placement design, such as placing a person attribute object in a position where air quality can be ensured.

[Effects, etc.]
As described above, according to this modification, the model generation device 1 can correct the placement of the human attribute object to a permissible position by determining whether the current human attribute object can be placed. This allows the model generation device 1 to generate a BIM model including a human attribute object placed in a permissible position.

Furthermore, according to this modified example, the model generating device 1 creates a placeable area for human attribute objects, and by using the created placeable area, it becomes easy to check whether the concentration of the sterilization substance in a location where a person is likely to be present is within a certain range. This makes it easier to design HVAC equipment and consider furniture placement, so that human attribute objects can be easily placed in a location where air quality (concentration of the sterilization substance within a certain range) can be ensured. Therefore, not only can the model generating device 1 or designer easily design HVAC equipment, but furniture can also be easily placed to maintain the air quality around people.

In this disclosure, furniture objects such as desks, chairs, and beds have been used as examples of human attribute objects, but the present invention is not limited to this.

In addition, this disclosure allows for optimal ventilation and diffusion volumes to be achieved by taking human attribute objects into consideration during design and arranging objects such as ventilation equipment and diffusion devices, thereby minimizing the energy required for air conditioning.

Note that this disclosure is not limited to the above-mentioned embodiments and modifications. For example, the embodiments of this disclosure may be realized by combining the components described in this specification in any way, or by excluding some of the components. In addition, this disclosure also includes modifications obtained by applying various modifications that would come to mind by a person skilled in the art to the above-mentioned embodiments, as long as they do not deviate from the spirit of this disclosure, i.e., the meaning of the words described in the claims.

This disclosure also includes the following cases:

(1) Specifically, the above device is a computer system consisting of a microprocessor, ROM, RAM, hard disk unit, display unit, keyboard, mouse, etc. A computer program is stored in the RAM or hard disk unit. Each device achieves its function by the microprocessor operating in accordance with the computer program. Here, a computer program is composed of a combination of multiple instruction codes that indicate commands for a computer to achieve a specified function.

(2) Some or all of the components constituting the above device may be composed of a single system LSI (Large Scale Integration). A system LSI is an ultra-multifunctional LSI manufactured by integrating multiple components on a single chip, and specifically, is a computer system composed of a microprocessor, ROM, RAM, etc. A computer program is stored in the RAM. The system LSI achieves its functions by the microprocessor operating in accordance with the computer program.

(3) Some or all of the components constituting the above-mentioned device may be composed of an IC card or a standalone module that can be attached to and detached from each device. The IC card or the module is a computer system composed of a microprocessor, ROM, RAM, etc. The IC card or the module may include the above-mentioned ultra-multifunction LSI. The IC card or the module achieves its functions by the microprocessor operating according to a computer program. This IC card or this module may be tamper-resistant.

(4) The present disclosure may also be the methods described above. It may also be a computer program that realizes these methods by a computer, or a digital signal that is the computer program.

(5) The present disclosure may also be a computer program or a digital signal recorded on a computer-readable recording medium, such as a flexible disk, a hard disk, a CD-ROM, an MO, a DVD, a DVD-ROM, a DVD-RAM, a BD (Blu-ray (registered trademark) Disc), a semiconductor memory, or the like. It may also be a digital signal recorded on such a recording medium.

The present disclosure may also involve transmitting the computer program or the digital signal via a telecommunications line, a wireless or wired communication line, a network such as the Internet, data broadcasting, etc.

The present disclosure may also be directed to a computer system having a microprocessor and a memory, the memory storing the computer program, and the microprocessor operating in accordance with the computer program.

The program or the digital signal may also be implemented by another independent computer system by recording it on the recording medium and transferring it, or by transferring the program or the digital signal via the network, etc.

The present disclosure can be used in a model generation device, a model generation method, and a program, and in particular, can be used in a model generation device, a model generation method, and a program that generate a building model that takes into consideration maintaining the air quality around people who may be staying when designing buildings such as offices, commercial facilities, and homes.

REFERENCE SIGNS LIST 1 Model generating device 10 Input unit 11 Arithmetic circuit 12 Memory 13 Output unit 14 Storage unit 15 Communication unit 16 Database 100, 150 Room floor plan 104a Program 104b Temporary data 112 Acquisition unit 113 Arithmetic unit 114 Result output unit 300, 310, 350 Concentration distribution map 410 Arrangement possible area map 411 Arrangement possible area

Claims (4)

A model generation device that generates a model of a building using information about objects of the building, including a structure constituting a building, a ventilation system arranged in the building, furniture arranged in the building, and a diffusion device arranged in the building for diffusing a sterilizing substance,
A processor;
A memory,
The processor uses the memory to:
Among the objects, human attribute information is acquired, which is information about a person associated with a human attribute object that is an object where a person may be staying and is temporarily placed in the building; and
determining a concentration distribution of the sterilization substance by the diffusion device in at least one space of the building partitioned by the structure based on information on the object of the structure and location information indicating a location of the object of the structure within the building;
creating an arrangement area indicating an area in which the human attribute object can be arranged within the space using the concentration distribution, predetermined air quality conditions, and the human attribute information;
Using the created arrangement possible area, it is determined whether or not the position where the human attribute object is currently arranged is acceptable;
If the location is allowed, include the person attribute object for the location in the model;
If the position is not permitted, a required concentration, which is a concentration of the sterilizing substance required for the position to be permitted, is calculated based on the concentration distribution, the air quality condition, and the position, and output the required concentration.
Model generation device. The building model is included in BIM (Building Information Modeling) data.
The model generating device according to claim 1 . A model generation method for generating a model of a building using information about objects of the building, including a structure constituting the building, a ventilation system arranged in the building, furniture arranged in the building, and a diffusion device arranged in the building for diffusing a sterilizing substance, comprising:
Among the objects, human attribute information is acquired, which is information about a person associated with a human attribute object that is an object where a person may be staying and is temporarily placed in the building; and
determining a concentration distribution of the sterilization substance by the diffusion device in at least one space of the building partitioned by the structure based on information on the object of the structure and location information indicating a location of the object of the structure within the building;
creating an arrangement area indicating an area in which the human attribute object can be arranged within the space using the concentration distribution, predetermined air quality conditions, and the human attribute information;
Using the created arrangement possible area, it is determined whether or not the position where the human attribute object is currently arranged is acceptable;
If the location is allowed, include the person attribute object for the location in the model;
If the position is not permitted, a required concentration, which is a concentration of the sterilizing substance required for the position to be permitted, is calculated based on the concentration distribution, the air quality condition, and the position, and output the required concentration.
Model generation method. A program for causing a computer to execute a model generation method for generating a model of a building using information on objects of the building, including a structure constituting a building, a ventilation system arranged in the building, furniture arranged in the building, and a diffusion device arranged in the building for diffusing a sterilizing substance, the program comprising:
Among the objects, human attribute information is acquired, which is information about a person associated with a human attribute object that is an object where a person may be staying and is temporarily placed in the building; and
determining a concentration distribution of the sterilization substance by the diffusion device in at least one space of the building partitioned by the structure based on information on the object of the structure and location information indicating a location of the object of the structure within the building;
creating an arrangement area indicating an area in which the human attribute object can be arranged within the space using the concentration distribution, predetermined air quality conditions, and the human attribute information;
Using the created arrangement possible area, it is determined whether or not the position where the human attribute object is currently arranged is acceptable;
If the location is allowed, include the person attribute object for the location in the model;
If the position is not permitted, a required concentration, which is a concentration of the sterilizing substance required for the position to be permitted, is calculated based on the concentration distribution, the air quality condition, and the position, and output the required concentration.
A program that makes a computer do something.

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