JP7656816B2 - 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 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 that constitute a building, ventilation equipment arranged in the building, and furniture arranged in the building, 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 stay, and identifies a wind speed distribution caused by the ventilation equipment in at least one space of the building partitioned by the structures based on information about the objects of the structures and arrangement information indicating the arrangement of the objects of the structures within the building, creates air quality information, which is information indicating an area in the space that satisfies the air quality conditions, uses the air quality information and the human attribute information to create a placeable area indicating an area in which the human attribute object can be placed in the space, places the human attribute object in the placeable area, and when creating the placeable area, uses the wind speed distribution to identify an allowable number of people distribution indicating a distribution area of a number of people that can be allowed to stay in the space, and creates the placeable area using the identified allowable number of people distribution.

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.

The data generation device and the like disclosed herein can generate a model that can be used to design a building to maintain the air quality around people who may be staying within the building's space during the building design stage.

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. 2 is a block diagram showing a functional configuration 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. 5B is a flowchart showing a detailed operation of step S5 in FIG. 5A. 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 a wind speed distribution according to an operation example of the embodiment. FIG. 11 is a diagram showing an example of a predetermined air quality condition according to an operation example of the embodiment. FIG. 11 is a diagram showing an example of air quality information according to an operation example of the embodiment. FIG. 11 is a diagram illustrating an example of an allowable number of people distribution according to an operation example of the embodiment. 13 is a diagram showing an area in which a chair object on which one person can sit can be arranged, in accordance with an operation example of an embodiment; FIG. FIG. 13 is a diagram showing an example of air quality information in the height direction in accordance with an example of the operation of the embodiment. 13 is a diagram showing a possible arrangement area in the height direction of a chair object on which one person can sit, in accordance with an operation example of an embodiment; FIG. FIG. 11 is a diagram showing another example of air quality information in the height direction in accordance with an example of the operation of the embodiment. 13 is a diagram showing an area in which desk objects can be arranged that can be used by four people at the same time according to an operation example of an embodiment. FIG. 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. 18B is a diagram showing attribute information according to an embodiment of the chair object shown in FIG. 18A. 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 person attribute information according to a modified example. FIG. 13 is a diagram showing an example of a wind speed distribution according to a modified example. FIG. 11 is a diagram showing an example of air quality information according to a modified example. 13 is a diagram showing an area in which a chair object on which one person can sit can be arranged according to a modified example. FIG. FIG. 13 is a diagram showing an area in which desk objects can be arranged that can be used by four people at the same time 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 that constitute a building, ventilation equipment arranged in the building, and furniture arranged in the building, 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 identifies a wind speed distribution caused by the ventilation equipment 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, creates air quality information, which is information indicating an area in the space that satisfies the air quality condition, uses the air quality information and the human attribute information to create a placeable area indicating an area in which the human attribute object can be placed in the space, and places the human attribute object in the placeable area.

In this way, by creating possible placement areas for human attribute objects based on human attribute information and wind speed distribution, it is possible to design the placement of human attribute objects taking 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 at the building design stage that allows for designs that maintain the air quality around people who may be staying within the space of the building.

In addition, for example, when creating the possible placement area, the processor may use the wind speed distribution to identify an acceptable number of people distribution indicating the distribution area of the number of people that can be permitted to stay in the space, and create the possible placement area using the identified acceptable number of people distribution.

This makes it possible to generate a model that uses the distribution of acceptable numbers of people to create designs that maintain the air quality around people who may be staying within the building space.

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 ventilation volume, which is the amount of ventilation required for the position to be acceptable, based on the air quality information and the position.

Also, for example, the model of the building 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, and furniture arranged in the building, 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, identifies a wind speed distribution caused by the ventilation equipment 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 air quality information that is information indicating an area in the space that satisfies the air quality conditions using the wind speed distribution and predetermined air quality conditions, creates a placement area that indicates an area in which the human attribute object can be placed in the space using the air quality information 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, and furniture arranged in the building, and the program causes a computer to execute the following: acquire human attribute information, which is information about a person associated with a human attribute object, which is an object where a person may be staying among the objects; identify a wind speed distribution caused by the ventilation equipment 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; create air quality information, which is information indicating an area in the space that satisfies the air quality condition, using the air quality information and the human attribute information, create a placeable area indicating an area in which the human attribute object can be placed in the space, and place 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 foundational structure objects such as building material parts and fixtures, ventilation equipment objects such as air intakes and exhausts, and furniture objects such as desks and chairs.

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.

An object represents some kind of entity to be processed by the model generating device 1, and object data represents the object as a group consisting of codes and numerical values. The object data includes 3D information of the object, as well as attribute information such as dimensions, material, performance, and material unit price. Attribute information is information indicating attributes, and is information indicating unique information and characteristics of an object. Figures 3A and 3B show object data of 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, Revit User Group (RUG). The 3D shape of the chair shown in Figure 3A is the 3D information of the chair object. 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, RUG (Revit User Group).

Object data contains multiple object data.

[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 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.

[Functional configuration]
FIG. 4 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 the 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 the ventilation equipment and furniture that will be 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 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 and furniture 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 wind speed distribution caused by the ventilation equipment in at least one space of a building partitioned by structures. The information about the structures and objects is, for example, object data, placement information associated with the object data, and human attribute information. Furthermore, the calculation unit 113 uses the identified wind speed distribution and predetermined air quality conditions to create air quality information that is information indicating an area in the space that satisfies the air quality conditions. Furthermore, the calculation unit 113 uses the air quality information and the human attribute information to create a placement possible area that indicates an area in which a human attribute object can be placed in the space.

When creating the possible placement area, the calculation unit 113 may use the identified wind speed distribution to identify an allowable number of people distribution that indicates the distribution area of the number of people that can be permitted to stay in the space, and create the possible placement area using the identified allowable number of people distribution. The possible placement area is an area that indicates whether or not a human attribute object can be placed, and is an area for placing furniture 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 the required ventilation volume, which is the amount of ventilation required for the position to be acceptable, based on the created air quality information and the position, and output the result to the result output unit 114. The calculation unit 113 can output not only the required ventilation volume, 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 5A is a flowchart showing an example of the operation of the model generation device 1 according to this embodiment. Figure 5B is a flowchart showing the detailed operation of step S5 in Figure 5A.

Figure 6 is a diagram showing an example of shape data relating to an operation example of this embodiment. Figure 7 is a diagram showing an example of spatial information relating to an operation example of this embodiment. Figure 8 is a diagram showing an example of ventilation information relating to an operation example of this embodiment.

The operation example shown in FIG. 5A and FIG. 5B is performed at the time of detailed 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 and the furniture object. In this operation example, the shape of the room of the building, which is divided by rooms and corridors, is determined by the plan view or elevation view, and an initial model including the room plan view 100 shown in FIG. 6, for example, is determined. In the example shown in FIG. 6, the shape of the room is determined, and an intake port object 102 indicating an object of an intake port and an exhaust port object 101 indicating an object of an exhaust port are placed in the space 103 indicating the space of the room. Here, the placement of the intake port object 102 and the exhaust port object 101 are once determined for the purpose of model generation, but it is also possible to change the placement after the model generation.

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 the 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. 7 as information regarding the spatial arrangement of objects and information regarding shapes from the initial model including the room floor plan 100 shown in FIG. 6 generated at the time of basic design. In the example of spatial information shown in FIG. 7, 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 101 existing in the space 103 linked to the space ID, and an intake vent ID of an intake vent object 102 are shown. Note that the model generating device 1 acquires the room floor plan 100 shown in FIG. 6 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. 8, 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. 8, control information of the ventilation attribute IN, air volume QA, and wind direction DA for the air supply port object 102 indicated by the ID of O01, and control information of the ventilation attribute OUT, air volume QB, and wind direction DB for the exhaust port object 101 indicated by the ID of I01 are shown. Note that OUT means exhaust, and IN means supply. Also, FIG. 8 shows the X coordinate and Y coordinate in the room plan 100 shown in FIG. 6 as the arrangement information of the air supply port object 102 indicated by the ID of O01 and the exhaust port object 101 indicated by the ID of I01. Note that the model generation device 1 is not limited to acquiring the planar arrangement and planar ventilation capacity as ventilation information as shown in FIG. 8. The model generation device 1 may also acquire a three-dimensional arrangement and three-dimensional ventilation capacity as ventilation information. Below, we will return to FIG. 5A and continue to explain the operation example.

Next, the model generation device 1 uses the information acquired in steps S1 and S2, i.e., the spatial information and ventilation information, to identify a wind speed distribution that indicates the distribution of wind speed in the space (S3).

Figure 9 shows an example of wind speed distribution in an example of 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 identify the wind speed distribution caused by the ventilation equipment in the space. The model generation device 1 identifies the wind speed distribution using the average wind speed. The average wind speed is the average value of the wind speed for a predetermined time, such as 10 minutes, at a predetermined height in the space, such as 10 m. The model generation device 1 also identifies a wind speed distribution that indicates an area in the space where a predetermined average wind speed can be secured, for example, as shown in FIG. 9. In the example shown in FIG. 9, a wind speed distribution diagram 200 is shown as the wind speed distribution, indicating an area in the room floor plan 100 shown in FIG. 6 where the wind speed (average wind speed) is 0.007 m/s or more. The model generation device 1 may identify a three-dimensional wind speed distribution as well as a two-dimensional wind speed distribution as shown in FIG. 9. Returning to FIG. 5A, the operation example will be continued below.

Next, the model generating device 1 uses the wind speed distribution identified in step S2 and the predetermined air quality conditions to create air quality information that is information indicating an area in the space that satisfies the air quality conditions (S4). The predetermined air quality conditions are conditions for maintaining air quality, for example, as determined by laws and regulations, and will be described as the required ventilation volume in this operation example. The required ventilation volume is determined by the CDC standard, the WHO standard, and the Ministry of Health, Labor and Welfare standard. The CDC standard was established in 2003 by the Centers for Disease Control and Prevention (CDC) in the United States, and requires ventilation rates of more than 12 times per hour (new buildings) and 6 times per hour (existing buildings) for medical facilities that isolate patients with infectious diseases. The WHO standard was established in 2009 by the World Health Organization (WHO), and requires a ventilation rate that is twice the CDC standard as a safety factor. In other words, the WHO standard requires a ventilation rate of 24 times per hour (new buildings) or 12 times per hour (existing buildings). The Japanese Ministry of Health, Labor and Welfare standard is a standard of the Building Management Act recommended by the Ministry of Health, Labor and Welfare, and specifies the required ventilation volume per hour as 30 ^m3 /h. ^{30 m3} /h is converted into the ventilation rate of three times per hour (assuming a human volume of 10 ^m3 ). The required ventilation volume is not limited to the standard of a public institution, and may be, for example, a value set by the user.

Figure 10 is a diagram showing an example of predetermined air quality conditions for an example of operation of this embodiment. Figure 11 is a diagram showing an example of air quality information for an example of operation of this embodiment.

In this operation example, in step S4, first, the calculation unit 113 of the model generation device 1 acquires predetermined air quality conditions, such as the required ventilation volume determined by the CDC standard, the WHO standard, and the Ministry of Health, Labor and Welfare standard. Next, the model generation device 1 converts the acquired predetermined air quality conditions into wind speed conditions for the allowable number of people, such as those shown in FIG. 10. Note that the table shown in FIG. 10 can be edited by the user.

Here we explain how to convert the required ventilation volume into wind speed (average wind speed) for the number of people allowed.

For example, if the area of a space in which a person exists is A (m ² ) and the height is h (m), the required ventilation volume can be expressed as in the following (Equation 1).

Required ventilation volume (m ³ /h) = required ventilation rate per hour (times/h) × volume of space (m ³ ) = required ventilation rate per hour (times/h) × area of space A (m ² ) × height of space h (m) ... (Formula 1)

If the average wind speed in the space is VF (m/sec), the required ventilation volume can be expressed as follows (Equation 2):

Required ventilation volume (m ³ /h)=area of space A (m ² )×average wind speed VF (m/sec)×3600 (Formula 2)

From (Equation 1) and (Equation 2), the average wind speed can be expressed as (Equation 3) below.

Average wind speed VF (m/sec) = number of ventilations required per hour (times/h) x height of space h (m) / 3600... (Formula 3)

From this (Equation 3), if we convert the ventilation rate of 12 times as stipulated by the CDC standard into wind speed (average wind speed) for the allowable number of people, the wind speed for the allowable number of people of 1 is approximately 0.007 m/sec. Here, the height of the space, h (m), is set to 2 m.

Next, the model generating device 1 creates air quality information as shown in FIG. 11 using the wind speed distribution identified in step S3 and air quality conditions converted into wind speed (average wind speed) for the permissible number of people as shown in FIG. 10. Note that the example shown in FIG. 11 shows an example of air quality information defined by CDC standards, and shows an air quality information diagram 400 showing areas in the room floor plan 100 shown in FIG. 6 where the wind speed (average wind speed) is 0.007 m/s or more, 0.014 m/s or more, and 0.028 m/s or more. Below, we will return to FIG. 5A and continue the operation example.

Next, the model generating device 1 creates and outputs a placeable area where a specified object can be placed based on the air quality information created in step S4 and the attribute information of the data for generating the BIM (S5). In this embodiment, the calculation unit 113 of the model generating device 1 creates a placeable area indicating an area where a human attribute object can be placed in the space, using the air quality information of the space created in step S4 and the person attribute information of the person attribute object of the data for generating the BIM to be placed in the space.

Figure 12 is a diagram showing an example of an allowable number of people distribution according to an operation example of this embodiment. The allowable number of people distribution is a distribution of the range of the number of people that can stay in the target space.

More specifically, in step S5, the model generating device 1 first identifies an allowable number of people distribution indicating the distribution area of the number of people that can be allowed to stay in the space, as shown in FIG. 5B (S51). In this operation example, the model generating device 1 identifies an allowable number of people distribution in the space, for example, as shown in FIG. 12, using the air quality information, for example, as shown in FIG. 11, created in step S4. The allowable number of people shown in FIG. 12 can be calculated based on the air quality conditions shown in FIG. 10. In addition, in the example of the allowable number of people distribution diagram 500 shown in FIG. 12, the areas 503 and 505 indicate areas in the room plan 100 shown in FIG. 6 where the air quality (average wind speed) around the person can be maintained for up to one person. Similarly, the areas 502 and 504 indicate areas in the room plan 100 shown in FIG. 6 where the air quality (average wind speed) around the person can be maintained for up to two people. The area 501 indicates an area in the room plan 100 shown in FIG. 6 where the air quality (average wind speed) around the person can be maintained for up to four people.

Next, as shown in FIG. 5B, the model generation device 1 creates an area in which human attribute objects can be placed using the allowable number of people distribution identified in step S51 (S52).

In this operation example, the model generating device 1 uses the allowable number of people distribution shown in FIG. 12 identified in step S51 to create a placeable area as shown in FIG. 13 as a placeable area for a chair object in which one person can sit. Here, FIG. 13 is a diagram showing the placeable area for a chair object in which one person can sit, according to an operation example of this embodiment. In the example shown in FIG. 13, a placeable area diagram 600 is shown which shows the placeable area for a chair object in which one person can sit, in the room floor plan 100 shown in FIG. 6. In the example shown in FIG. 13, since the person attribute information of the chair object is one person, in the allowable number of people distribution diagram 500 shown in FIG. 12, areas 501 to 505 in which one person is allowed are identified as the placeable areas shown in the placeable area diagram 600.

The following provides a detailed explanation of how the model generation device 1 creates an area in which a chair object can be placed, such as the one shown in Figure 13, for one person to sit on.

In this operation example, when placing a chair object as shown in FIG. 3A, for example, the model generation device 1 acquires person attribute information as shown in FIG. 3C corresponding to the chair object as shown in FIG. 3A from the data for generating the BIM, and determines that the number of people in the chair object as shown in FIG. 3A is one. The model generation device 1 then finds that chair objects for one person to sit on can be placed in all areas (areas 501 to 505) shown in the permissible number of people distribution diagram 500 in FIG. 12 identified in step S51. Therefore, the model generation device 1 can create the possible placement area diagram 600 shown in FIG. 13 so that the possible placement areas are areas equivalent in size to all areas (areas 501 to 505) shown in the permissible number of people distribution diagram 500.

The average wind speed used to create the possible placement area diagram 600 shown in FIG. 13 is the average wind speed at a specified height in space, so the model generation device 1 may be made 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.

Figure 14 is a diagram showing an example of air quality information in the height direction in an operation example of this embodiment. The dashed line in Figure 14 represents the height of the face (coordinate Z = 1200). Figure 15 is a diagram showing the possible placement area taking into account the height direction of a chair object on which one person sits in an operation example of this embodiment.

That is, in this operation example, in step S4, the model generation device 1 uses the three-dimensional wind speed distribution identified in step S3 and the air quality conditions converted into wind speed (average wind speed) at the allowable number of people shown in FIG. 10 to create the air quality information in the height direction shown in FIG. 14 along with the air quality information on the plane shown in FIG. 11.

Next, in step S5, the model generating device 1 creates a placeable area for a chair object on which one person can sit, taking into account the height direction as shown in FIG. 15, along with a placeable area on a plane as shown in FIG. 13. In the example shown in FIG. 15, the model generating device 1 creates an area (width) that corresponds to the height of the face from among the areas indicated by the air quality information shown in FIG. 14, as a placeable area taking into account the height direction.

The model generation device 1 may then conveniently display in two dimensions or three dimensions only the area where the planar arrangement area shown in FIG. 13 overlaps with the arrangement area taking into account the height direction shown in FIG. 15 as the arrangement area for a chair object for one person to sit on.

Figure 16 is a diagram showing another example of air quality information in the height direction according to an example of the operation of this embodiment. In Figure 16, a dashed line indicating the height of the face (coordinate Z = 1200) is shown, along with an arrow indicating the direction of the face.

In the above operation example, in step S4, the model generating device 1 creates the air quality information in the height direction shown in FIG. 14, but this is not limited to this. In step S4, the model generating device 1 may create air quality information in the height direction in which the height and direction of the face are indicated, as shown in FIG. 16. In this case, in step S5, the model generating device 1 may create an arrangement area taking into account the height direction of a chair object on which one person sits by adjusting the arrangement area taking into account the height direction shown in FIG. 15 based on the relationship between the direction of the face and the wind direction of ventilation through the air intake and exhaust ports. In the example shown in FIG. 16, the ventilation wind direction 411a is from left to right on the dashed line indicating the height of the face (coordinate Z = 1200), and the face direction 411b is from right to left on the dashed line. In this way, if the ventilation wind direction 411a and the face direction 411b are opposite in the face height direction, the model generation device 1 can weight and expand the area showing the air quality information created in step S4, for example by multiplying the wind speed in FIG. 16 by 1.2. On the other hand, if the ventilation wind direction and the face direction are the same in the face height direction, the model generation device 1 can create the arrangement possible area that takes the height direction shown in FIG. 15 into consideration in step S5.

In the above, a case has been described in which the model generation device 1 creates an area in which a chair object on which one person can sit can be placed, but this is not limited to the above. The model generation device 1 may also create an area in which a desk object can be placed. This case will be described below.

Figure 17 is a diagram showing an area where desk objects can be placed that can be used by four people at the same time according to an example of the operation of this embodiment. In the example shown in Figure 17, a placement area diagram 620 is shown that shows an area where desk objects can be placed that can be used by four people at the same time in the room floor plan 100 shown in Figure 6.

That is, in this operation example, in step S52, the model generation device 1 may use the permissible number distribution shown in FIG. 12 identified in step S51 to create a possible arrangement area as shown in FIG. 17 as a possible arrangement area for desk objects that can be used by four people at the same time.

Next, we will explain an example of attribute information of a desk object that the model generation device 1 uses when creating an area in which a desk object can be placed that can be used by four people at the same time, as shown in Figure 17.

Figure 18A 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 18B is a diagram showing attribute information according to this embodiment of the chair object shown in Figure 18A.

The chair object shown in FIG. 18A is one of the objects provided by RUG, for example. The attribute information according to this embodiment shown in FIG. 18B includes person attribute information corresponding to the desk object shown in FIG. 18A. In the example shown in FIG. 18B, information related to identification information items such as the number of people, orientation, person coordinates X-Z, and dwell rate is included. These contents have been described above, so a detailed explanation will be omitted here.

When placing a desk object as shown in FIG. 18A, for example, the model generation device 1 acquires person attribute information as shown in FIG. 18B corresponding to the desk object as shown in FIG. 18A from the data for generating the BIM. The model generation device 1 determines from the acquired person attribute information that the number of people (allowable number of people) of the desk object as shown in FIG. 18A is four, which is the maximum number of people expected to be present around the desk object. The model generation device 1 then finds that a chair object for four people can be placed in the area 501 shown in the allowable number of people distribution diagram 500 in FIG. 12, which was identified in step S51. As a result, the model generation device 1 can create the possible arrangement area diagram 620 shown in FIG. 17 so that the area that can be placed is an area equivalent in size to the area 501 shown in the allowable number of people distribution diagram 500.

The number of people (allowable number of people) for a desk object may be the product of the maximum number of people expected to be around the desk object and the dwell rate at the desk object. That is, in the case of the desk object shown in FIG. 18B, the maximum number of people (4 people) x dwell rate (0.2) = 0.8 people may be used as the allowable number of people for the desk object.

Note that the average wind speed used to create the possible placement area diagram 620 shown in FIG. 17 is the average wind speed at a specified height in space, and therefore there may be a large difference between that height and the height of a person's face when sitting on the desk object (person coordinate Z). In this case, similar to the above, 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 desk object (person coordinate Z). Below, we return to FIG. 5A to continue explaining the operation example.

Next, the model generating device 1 places the person attribute object using the placeable area of the person attribute object created in step S5 (S6). 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. 6 using the placeable area of the person attribute object such as furniture created in step S5. Here, for example, it is known that in Revit, a BIM tool from Autodesk, it is possible to automate various tasks 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. 6 using the placeable area of the person attribute object created in step S5.

In step S4 or step S5, the model generation device 1 obtains a possible placement area map and an air quality information map as the creation results, but obtaining these is not essential as long as the possible placement area and air quality information can be identified. For example, the model generation device 1 may perform the process of step S6 in the same manner as described above, using the wind speed distribution map obtained as the identification result in step S3.

Furthermore, after the operation shown in FIG. 5A, i.e., after processing of step S6, 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 relating to people (person attribute information) is further included in the attribute information of objects (person attribute objects) that represent furniture such as desks and chairs where people may be staying. The model generation device 1 then creates a placeable area for the person attribute object using air quality information obtained by identifying the wind speed distribution caused by the ventilation equipment and the person attribute information. This allows the model generation device 1 or a designer to easily use the placeable area for the created person attribute object to place the person attribute object while taking into account the air quality around people who may be staying within the space of the building.

Furthermore, according to this embodiment, the model generating device 1 may display the identified wind speed 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 air quality information in the 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 air supply equipment and exhaust equipment are placed in the space shown in the room plan, and that the ventilation air speed is a constant value, but this is not limited to the above. If the ventilation air speed can be controlled, the same thing can be achieved by calculating and using the maximum value. Furthermore, if there is equipment other than air supply equipment and exhaust equipment, such as an air conditioner, the wind speed and wind direction of that equipment can be taken into consideration when determining the wind speed distribution described above. This allows for processing similar to that described in the above operation example, etc.

In the above, for example, in FIG. 13 and the like, a placement area for a human attribute object is created and the placement of the human attribute object is determined, but this is not limited to the above. A placement-impossible area in which no free space can be secured even if a human attribute object is placed may be created instead and the placement of the human attribute object may 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. 19 is a flowchart showing an example of the operation of the model generating device 1 according to the modified example. Fig. 20 is a diagram showing an example of shape data according to the modified example. Fig. 21 is a diagram showing an example of spatial information according to the modified example. Fig. 22 is a diagram showing an example of ventilation information according to the modified example. Fig. 23 is a diagram showing an example of human attribute information according to the modified example.

The operation example shown in FIG. 19 is performed during layout design, when the designer manually lays out (places) furniture, etc., during or after the detailed design. Therefore, before this operation example is performed, the creation of a 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 layout 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. 19 is performed. That is, as shown in FIG. 20, in the room floor plan 150, a chair object indicated by an ID of H01 and a desk object indicated by an ID of H02 are further provisionally determined (provisionally placed) compared to the room floor plan 100 shown in FIG. 6. In addition, the provisionally placed object desk object has 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 operation example will be explained focusing 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. 21 from the shape data including the room floor plan 150 shown in FIG. 20, 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. 21 is the same as the spatial information shown in FIG. 7, 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. 22 from the provisionally placed HVAC object as shown in FIG. 20. Note that the ventilation information shown in FIG. 22 is the same as the ventilation information shown in FIG. 8, 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 the arrangement information shown in FIG. 23, which is included in the person attribute information associated with the desk object and chair object provisionally placed as shown in FIG. 20, from these. FIG. 23 shows the arrangement information of the desk object indicated by the ID H01, which indicates that four people can use it at the same time, and the X and Y coordinates of the person when using the desk object in the room floor plan 150 shown in FIG. 20. FIG. 23 also shows the arrangement information of the chair object indicated by the ID H02, which indicates that one person can use it, and the X and Y coordinates of the person when using the chair object in the room floor plan 150 shown in FIG. 20.

Next, the model generation device 1 uses the information acquired in steps S11 and S12 to identify the wind speed distribution in the space (S14).

Figure 24 is a diagram showing an example of wind speed distribution according to this modified example. In the example shown in Figure 24, a wind speed distribution diagram 250 is shown, which shows the area in the room plan 150 shown in Figure 20 where the wind speed (average wind speed) is 0.007 m/s or more. Note that the wind speed distribution shown in Figure 24 is similar to the wind speed distribution shown in Figure 9, so a detailed description will be omitted here.

Next, the model generating device 1 uses the wind speed distribution identified in step S14 and the predetermined air quality conditions to create air quality information, which is information indicating the area in the space that satisfies the air quality conditions (S15). In this modified example, the model generating device 1 may convert the predetermined air quality conditions, such as the required ventilation volume determined by the CDC standard, into wind speed conditions for the allowable number of people, as shown in FIG. 10. The model generating device 1 then creates air quality information as shown in FIG. 25 using the wind speed distribution identified in step S14 and the air quality conditions converted into wind speed (average wind speed) for the allowable number of people, as shown in FIG. 10. FIG. 25 is a diagram showing an example of air quality information according to this modified example. In the example shown in FIG. 25, as in FIG. 11, an air quality information diagram 450 is shown showing areas in the room plan 150 shown in FIG. 20 where the wind speed (average wind speed) is 0.007 m/s or more, 0.014 m/s or more, and 0.028 m/s or more.

Next, the model generation device 1 creates a placement area in which the human attribute object can be placed based on the air quality information created in step S15 and the human attribute information of the human attribute object acquired in step S13 (S16).

Figure 26A shows the area in which a chair object for one person can be placed according to this modified example. Figure 26B shows the area in which a desk object for four people can be placed according to this modified example.

In this modified example, the model generation device 1 uses the air quality information created in step S15, for example, as shown in FIG. 25, to identify the allowable number of people distribution in the space, and creates an area in which a person attribute object can be placed using the identified allowable number of people distribution. More specifically, the model generation device 1 can identify an allowable number of people distribution indicating an area in which the air quality (average wind speed) around 1 to 4 people can be maintained, from the person attribute information of the desk object and chair object acquired in step S13.

For example, the model generation device 1 uses the identified allowable number distribution to create a placeable area as shown in the placeable area diagram 650 in FIG. 26A as the placeable area for a chair object that can be sat on by one person and is indicated by an ID of H01. Also, for example, the model generation device 1 uses the identified allowable number distribution to create a placeable area as shown in the placeable area diagram 651 in FIG. 26B as the placeable area for a desk object that can be used by four people simultaneously and is indicated by an ID of H02. Below, we will return to FIG. 19 to continue the explanation of the operation example.

Next, the model generation device 1 determines whether the provisionally determined current placement of the human attribute object is permissible (S17). In this modified example, the model generation device 1 uses the possible placement area created in step S16 to determine whether the position where the human attribute object is currently placed is permissible.

In step S17, if the current placement of the person attribute object is permitted (Yes in S17), the model generation device 1 ends the process shown in FIG. 19 and generates a model including the current placement of the person attribute object. In this modified example, it can be seen from the placement possible area diagram 650 in FIG. 26A that the current placement of the chair object in H01 ensures sufficient space. In other words, the current placement is permitted.

On the other hand, in step S17, if the current placement of the human attribute object is not permitted (No in S17), the model generation device 1 calculates the required ventilation volume to permit the current placement of the human attribute object (S18).

In this modified example, it can be seen from the possible arrangement area diagram 651 in FIG. 26B that air quality cannot be ensured with the current arrangement of the desk object in H02. In other words, the current arrangement is not permitted. For this reason, the model generation device 1 calculates the required ventilation volume to permit the current arrangement of the desk object in H02. For example, the model generation device 1 calculates the required wind speed, which indicates the amount of ventilation required to permit the current arrangement of the desk object in H02, from the current air quality information as shown in FIG. 25, and calculates the ratio between the current wind speed indicated by the current air quality information and the required wind speed as the required ventilation volume.

Next, the model generation device 1 asks the user whether or not to modify the ventilation information as shown in FIG. 22 (S19).

In step S19, if the ventilation information is to be corrected (Yes in S19), the user or the model generation device 1 uses the corrected ventilation information and starts over from step S14.

On the other hand, if the ventilation information is not to be corrected in step S19 (No in S19), the placement of the current human attribute object, whose placement is not permitted, is corrected (S20), and the process is repeated from step S11.

Let us assume that the wind speed indicated in the air quality information for the current location of the desk object of H02 is 0.004 m/s. In this case, the required wind speed (air quality) for the position of the desk object of H02 is 0.028 m/s, which is about seven times the current wind speed. Therefore, it is necessary to redetermine the capacity or location of the ventilation equipment.

Here, the model generation device 1 or the equipment designer may modify the ventilation information shown in FIG. 22 by, for example, reselecting ventilation equipment equipment or rearranging the air intake and exhaust ports so that the air supply capacity and exhaust capacity are seven times larger. Alternatively, the model generation device 1 or the equipment designer may modify the placement of the desk object in H02 to a position that satisfies the required wind speed (air quality). Note that the model generation 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 S17, if the placement of the current person attribute object is not permitted (No in S17), 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.

In addition, according to this modified example, the model generating device 1 creates an area where a person attribute object can be placed, and by using the created area where a person attribute object can be placed, the person attribute object can be easily placed in a position where air quality can be ensured. Therefore, not only can the model generating device 1 or the 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.

For example, objects such as spaces where people stay for long periods of time may be assigned human attribute information as human attribute objects, with similar effects. Spaces where people stay for long periods of time include, for example, corridors and toilets, where an unspecified number of people come and go, resulting in people staying there for long periods of time. Then, for objects such as these spaces, the expected stay value (number of people) can be set as human attribute information, and the object can be treated as a human attribute object. The expected stay value for the space can be set or calculated, for example, from the number of sanitary fixtures if the space is a toilet, or from the capacity of each room if the space is a corridor. In this way, it can be determined whether the space can be placed in the target space according to the above operation example, making it easy to design the layout of the space while ensuring air quality.

Furthermore, in this disclosure, the optimal ventilation volume can be achieved by taking human attribute objects into consideration during the design stage when arranging objects such as ventilation equipment, 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 generation device 10 Input unit 11 Calculation 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 Calculation unit 114 Result output unit 200, 250 Wind speed distribution map 400, 450 Air quality information map 500 Permitted number of people distribution map 600, 620, 650, 651 Arrangement possible area map

Claims (5)

A model generation device that generates 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, and furniture arranged in the building, comprising:
A processor;
A memory,
The processor uses the memory to:
acquire person attribute information, which is information about the person, associated with a person attribute object, which is an object where a person may stay, among the objects;
determining a wind speed distribution caused by the ventilation equipment in at least one space of the building partitioned by the structure based on information on the object of the structure and placement information indicating a placement of the object of the structure within the building;
Using the wind speed distribution and predetermined air quality conditions, air quality information is created that is information indicating an area in the space that satisfies the air quality conditions;
creating a placement area indicating an area in which the human attribute object can be placed within the space using the air quality information and the human attribute information;
placing the object with human attributes in the placement available area ;
When creating the area where placement is possible,
Using the wind speed distribution, an allowable number of people distribution indicating a distribution area of a number of people that can be allowed to stay in the space is identified;
Creating a possible placement area using the determined allowable population distribution.
Model generation device. A model generation device that generates 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, and furniture arranged in the building, comprising:
acquire person attribute information, which is information about the person, associated with a person attribute object, which is an object where a person may stay, among the objects;
The human attribute object is provisionally placed within the building;
determining a wind speed distribution caused by the ventilation equipment in at least one space of the building partitioned by the structure based on information on the object of the structure and placement information indicating a placement of the object of the structure within the building;
Using the wind speed distribution and predetermined air quality conditions, air quality information is created that is information indicating an area in the space that satisfies the air quality conditions;
creating an arrangement area indicating an area in which the human attribute object can be arranged within the space using the air quality information and the human attribute information;
Using the arrangement possible area, it is determined whether or not a position where the human attribute object is provisionally 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 ventilation amount, which is a ventilation amount required for the position to be permitted, is calculated based on the air quality information and the position, and output the calculated amount.
Model generation device. The model of the building is included in BIM (Building Information Modeling) data,
3. The model generating device according to claim 1 or 2 . 1. A model generation method for generating a model of a building using information on objects of the building, including structures constituting the building, ventilation equipment arranged in the building, and furniture arranged in the building, the method comprising:
acquire person attribute information, which is information about the person, associated with a person attribute object, which is an object where a person may stay, among the objects;
determining a wind speed distribution caused by the ventilation equipment in at least one space of the building partitioned by the structure based on information on the object of the structure and placement information indicating a placement of the object of the structure within the building;
Using the wind speed distribution and predetermined air quality conditions, air quality information is created that is information indicating an area in the space that satisfies the air quality conditions;
creating a placement area indicating an area in which the human attribute object can be placed within the space using the air quality information and the human attribute information;
placing the object with human attributes in the placement available area ;
When creating the area where placement is possible,
Using the wind speed distribution, an allowable number of people distribution indicating a distribution area of a number of people that can be allowed to stay in the space is identified;
Creating a possible placement area using the determined allowable population distribution.
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 structures constituting the building, ventilation equipment arranged in the building, and furniture arranged in the building, the program comprising:
acquire person attribute information, which is information about the person, associated with a person attribute object, which is an object where a person may stay, among the objects;
determining a wind speed distribution caused by the ventilation equipment in at least one space of the building partitioned by the structure based on information on the object of the structure and placement information indicating a placement of the object of the structure within the building;
Using the wind speed distribution and predetermined air quality conditions, air quality information is created that is information indicating an area in the space that satisfies the air quality conditions;
creating a placement area indicating an area in which the human attribute object can be placed within the space using the air quality information and the human attribute information;
placing the object with human attributes in the placement available area ;
When creating the area where placement is possible,
Using the wind speed distribution, an allowable number of people distribution indicating a distribution area of a number of people that can be allowed to stay in the space is identified;
Creating a possible placement area using the determined allowable population distribution.
A program that makes a computer do something.

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