Model generation device, model generation method and program

Abstract

To provide a model generation apparatus, and the like, configured to generate a model that performs design so as to maintain quality of air surrounding a person who is likely to stay in a space of a building, in a design stage of the building.SOLUTION: A model generation apparatus includes: an acquisition unit 112 which acquires person attribute information which is information on a person associated with a person attribute object being an object where the person is likely to stay, out of objects; and a calculation unit 113 which 1) specifies a wind speed distribution generated by ventilation equipment in at least one space of a building partitioned by structures, on the basis of information on objects of the structures and arrangement information indicating arrangement of the objects of the structures in the building, 2) generates air quality information which is information indicating an area in a space satisfying an air quality condition, using the wind speed distribution and predetermined air quality conditions; and 3) forms an arrangement area indicating an area where the person attribute object can be arranged in the space, using the air quality information and the person attribute information, and arranges the person attribute object in the arrangement area.SELECTED DRAWING: Figure 2

Description

[Technical field]

[0001] 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 structures that constitute a building, as well as information about building objects including air conditioning equipment and furniture that are arranged in the building. [Background technology]

[0002] In the design stage of a building, the required ventilation volume within the building is calculated based on the Building Standards Act, etc., a ventilation calculation table is created based on the required ventilation volume, and ventilation equipment is selected and placed. Traditionally, ventilation calculation tables were created manually by workers, but in recent years, ventilation calculation tables have been created easily using BIM (Building Information Modeling).

[0003] For example, Patent Document 1 discloses that attribute information for implementing BIM (Building Information Modeling) is used to calculate ventilation volume and design air balance. According to Patent Document 1, a ventilation calculation table and air balance diagram can be output using BIM at the time of design, and can be used for sick house countermeasures, etc. [Prior art documents] [Patent documents]

[0004] [Patent Document 1] JP 2019-67083 A Summary of the Invention [Problem to be solved by the invention]

[0005] In the technology disclosed in Patent Document 1, the layout of the ventilation equipment is designed to comply with standards such as the Building Standards Act. In other words, the layout of the ventilation equipment is designed so that the ventilation volume throughout the building is equal to or greater than a certain level. However, the technology disclosed in Patent Document 1 has a problem in that the layout of the equipment within the building cannot be designed taking into account the people present in the building when the building is in use. For example, the layout of the equipment within the building cannot be flexibly designed taking into account infection control measures.

[0006] The present disclosure has been made in consideration of the above-mentioned circumstances, and aims to provide a model generation device, a model generation method, and a program that generate a model that can be designed at the building design stage to maintain the air quality around people who may be staying within the building space. [Means for solving the problem]

[0007] 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 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, and the processor uses the memory to acquire human attribute information that is information about the person associated with a human attribute object that is an object among the objects where a person may be staying, specifies 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 arrangement information indicating the arrangement of the object of the structure within the building, creates air quality information that is information indicating an area in the space that satisfies the air quality condition using the wind speed distribution and predetermined air quality conditions, creates a placeable 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 placeable area. When creating the possible placement area, the wind speed distribution is used 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 the possible placement area is created using the identified allowable number of people distribution.

[0008] Furthermore, 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. Effect of the Invention

[0009] According to the data generation device etc. disclosed herein, a model can be generated at the design stage of a building that enables a design to be made that maintains the air quality around people who may be staying within the space of the building. [Brief description of the drawings]

[0010] [Figure 1] FIG. 1 illustrates an example of a model generating device according to an embodiment. [Diagram 2] FIG. 1 is a diagram illustrating a configuration of a model generating device according to an embodiment. [Figure 3A] 13A and 13B are diagrams showing a chair object on which one person sits in accordance with an operation example of the embodiment. [Figure 3B] FIG. 3B is a diagram showing conventional attribute information of the chair object shown in FIG. 3A. [Figure 3C] 3B is a diagram showing attribute information according to the embodiment of the chair object shown in FIG. 3A. FIG. [Figure 4] FIG. 2 is a block diagram showing a functional configuration of the model generating device according to the embodiment. [Figure 5A] 4 is a flowchart illustrating an example of the operation of the model generating device according to the embodiment. [Figure 5B] 5B is a flowchart showing a detailed operation of step S5 in FIG. 5A. [Figure 6] FIG. 11 is a diagram showing an example of shape data according to an operation example of the embodiment; [Figure 7] FIG. 11 is a diagram illustrating an example of spatial information according to an operation example of the embodiment. [Figure 8] FIG. 11 is a diagram showing an example of ventilation information according to an operation example of the embodiment. [Figure 9]FIG. 11 is a diagram showing an example of a wind speed distribution according to an operation example of the embodiment. [Figure 10] FIG. 11 is a diagram showing an example of a predetermined air quality condition according to an operation example of the embodiment. [Figure 11] FIG. 11 is a diagram showing an example of air quality information according to an operation example of the embodiment. [Figure 12] FIG. 11 is a diagram illustrating an example of an allowable number of people distribution according to an operation example of the embodiment. [Figure 13] 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. [Figure 14] FIG. 11 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. [Figure 15] 13 is a diagram showing a possible 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. [Figure 16] FIG. 13 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. [Figure 17] 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. [Figure 18A] 13A and 13B are diagrams showing a desk object that can be used by four people at the same time according to an operation example of the embodiment. [Figure 18B] 18B is a diagram showing attribute information according to the embodiment of the chair object shown in FIG. 18A. FIG. [Figure 19] 13 is a flowchart showing an example of the operation of a model generating device according to a modified example. [Figure 20] FIG. 13 is a diagram showing an example of shape data according to a modified example. [Figure 21] FIG. 13 is a diagram illustrating an example of spatial information according to a modified example. [Figure 22] FIG. 13 is a diagram showing an example of ventilation information according to a modified example. [Diagram 23] FIG. 13 is a diagram showing an example of person attribute information according to a modified example. [Figure 24] FIG. 13 is a diagram showing an example of a wind speed distribution according to a modified example. [Diagram 25] FIG. 11 is a diagram showing an example of air quality information according to a modified example. [Figure 26A] 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. [Figure 26B] 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. DETAILED DESCRIPTION OF THE PREFERRED EMBODIMENTS

[0011] 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, and the processor uses the memory to acquire human attribute information that is information about the person associated with a human attribute object that is an object among the objects where a person may be staying, 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 that is information indicating an area within the space that satisfies the air quality conditions, creates a placeable area that indicates an area in which the human attribute object can be placed within the space using the air quality information and the human attribute information, and places the human attribute object in the placeable area.

[0012] In this way, by creating a placeable area 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 that allows for a design that maintains the air quality around people who may be staying within the space of the building at the design stage of the building.

[0013] Also, for example, when creating the possible arrangement area, the processor may use the wind speed distribution to identify an allowable 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 arrangement area using the identified allowable number of people distribution.

[0014] This makes it possible to generate a model that uses the distribution of acceptable numbers of people to create a design that maintains the air quality around people who may be staying within the space of a building.

[0015] Also, 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.

[0016] Also, for example, the model of the building may be included in BIM (Building Information Modeling) data.

[0017] 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.

[0018] Moreover, a model generation method according to one embodiment of the present disclosure is 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, the method obtaining human attribute information that is information about a person associated with a human attribute object that is an object among the objects where a person may be staying, specifying 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, creating air quality information that is information indicating an area within the space that satisfies the air quality conditions using the wind speed distribution and predetermined air quality conditions, creating a placeable area that indicates an area where the human attribute object can be placed in the space using the air quality information and the human attribute information, and placing the human attribute object in the placeable area.

[0019] Furthermore, 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 among the objects where a person may be staying; identify 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; create air quality information, which is information indicating an area in the space that satisfies the air quality conditions, using the air quality information and predetermined air quality conditions; create a placeable area indicating 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 place the human attribute object in the placeable area.

[0020] (Embodiment) [Hardware configuration] FIG. 1 is a diagram showing an example of a model generating device 1 according to the present embodiment.

[0021] The model generating device 1 is configured with a personal computer or the like, and acquires object data and arrangement information. Then, the model generating device 1 in this embodiment generates a model generated by BIM based on the acquired object data and arrangement information.

[0022] FIG. 2 is a diagram showing a configuration of the model generating device 1 in this embodiment.

[0023] The model generating 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.

[0024] The communication unit 15 communicates with a device external to the model generation device 1. The communication may be wireless communication or wired communication. The wireless communication method may be Wi-Fi (registered trademark), Bluetooth (registered trademark), ZigBee, or other methods. For example, the communication unit 15 communicates with an external device and receives a data set Ds held by the device.

[0025] The input unit 10 functions as an HMI (Human Machine Interface) that accepts input operations by a user, and includes, for example, a keyboard, a mouse, a touch sensor, a touch pad, and the like.

[0026] The output unit 13 has a display for displaying images or characters, and the display is, for example, a liquid crystal display, a plasma display, an organic EL (Electro-Luminescence) display, etc. The output unit 13 may have a printer for printing images or characters, and may have a function of storing data output from the arithmetic circuit 11 in the memory unit 14.

[0027] 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, for example, 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.

[0028] The program 104a that is read and expanded by the arithmetic circuit 11 is temporarily stored in the memory 12. Such a memory 12 is, for example, a volatile RAM (Random Access Memory).

[0029] 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.

[0030] The database 16 is a non-volatile recording medium, similar to the storage unit 14, and is, 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 person attribute information from an external device via the network and the communication unit 15, and stores the acquired BIM data and person attribute information in the database 16.

[0031] In this embodiment, the storage unit 14 and the database 16 are different recording media, but the storage unit 14 and the database 16 may be configured as a single recording medium including them.

[0032] [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 the building.

[0033] BIM constructs a building in a virtual three-dimensional space (3D space) on a computer based on object data and the layout information associated with the object data, and creates a 3D model of the building on the computer. With BIM, information on planning, design, construction, and maintenance is centralized and utilized. Therefore, by using BIM, it is possible to improve the consistency of drawings at the time of design, and further reduce the effort and time required for revisions.

[0034] A 3D model of a building created by BIM includes objects such as building material parts and fixtures. The objects include foundation 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.

[0035] Foundation 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 draw the concept of the building. The placement of the foundation objects is decided 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 object data. A 3D model of the building is generated based on the foundation object data and the placement information associated with the foundation object data.

[0036] A ventilation equipment object is an object related to the ventilation of a building, such as an air intake, an exhaust, and an air conditioner. 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.

[0037] The furniture objects are objects related to furniture arranged in a building, such as chairs, desks, and storage shelves. The furniture objects include ventilation-related objects that are not fixed to a foundation structure object, such as electric fans and air purifiers. In other words, the furniture objects are objects whose arrangement can be changed after the design of a building and while the building is in use. The arrangement of the furniture objects is determined after the arrangement of the ventilation equipment objects is determined during the basic design.

[0038] An object indicates some entity to be processed by the model generating device 1, and object data is a representation of the object as a group consisting of codes and numerical values. The object data includes 3D information of the object, and attribute information such as dimensions, material, performance, and material unit price. The 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. Also, 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).

[0039] The object data includes a plurality of object data.

[0040] [Person 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.

[0041] The person attribute information includes, for example, the number of people, the direction, the person coordinates, and the staying rate. The number of people may be the maximum number of people expected to stay around the person attribute object. The direction may be the face direction that the person is expected to face when staying around the person attribute object. The person coordinates may be the face coordinates of the person staying around the person attribute object when staying around the person attribute object. The staying rate may indicate, in percentage, how long the person is expected to stay around the person attribute object during a predetermined time when staying around the person attribute object. The staying rate can be used, for example, to calculate the power consumption of the ventilation equipment, and further, the total cost can be calculated by using the lifetime power amount and the initial cost. Therefore, the staying rate can be used as useful information when selecting the ventilation equipment. Note that people staying around the human attribute object means that people stay at a predetermined distance from the center or end of the human attribute object, and the predetermined distance may be set by the user.

[0042] FIG. 3C shows attribute information of the chair object shown in FIG. 3A and person attribute information associated with the chair object. The person attribute information includes the number of people, the direction, person coordinates X to Z, and the staying rate. The number of people indicates the number of people assumed to sit on the chair object shown in FIG. 3A, and is 1 person in the example shown in FIG. 3C. The direction indicates the direction of the face of a person when the person sits on the chair object shown in FIG. 3A, and is the front direction in the example shown in FIG. 3C. The person coordinates X, Y, and Z are the coordinates of the face of a person when the person sits on the chair object shown in FIG. 3A, and are 0, 0, and 1200 in the example shown in FIG. 3C. The person coordinates X and Y of the chair object shown in FIG. 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 1200 (mm) because it is the height of the face of the person when the person sits on the chair object shown in FIG. 3A. The staying rate indicates how much time is spent staying (sitting) on ​​the chair object shown in FIG. 3A during one hour as a percentage, and is 80% in the example shown in FIG. 3C.

[0043] The person attribute information of the person attribute object as shown in Fig. 3A can be acquired by an add-on function of BIM or the like after acquiring conventional attribute information as shown in Fig. 3B, for example. In this case, the model generation device 1 acquires 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 using the add-on function of BIM.

[0044] [Function configuration] FIG. 4 is a block diagram showing the functional configuration of the arithmetic circuit 11. As shown in FIG.

[0045] The arithmetic circuit 11 executes the program 104a to realize a plurality of functions for generating a building model. Specifically, the arithmetic circuit 11 includes an acquisition unit 112, a calculation unit 113, and a result output unit 114. These components are realized by the arithmetic circuit 11 executing the program 104a.

[0046] 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 objects including the ventilation equipment and furniture to be placed in the building.

[0047] [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.

[0048] In this embodiment, the acquisition unit 112 acquires data for generating a BIM. The acquisition unit 112 acquires, as data for generating a BIM, information on structures constituting a building, and information on objects of the building including ventilation equipment and furniture arranged in the building. The acquisition unit 112 also acquires predetermined air quality conditions as data for generating a BIM.

[0049] [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.

[0050] In this embodiment, the calculation unit 113 generates the model using the data for generating the BIM acquired by the acquisition unit 112.

[0051] The calculation unit 113, for example, uses information about structures and objects acquired by the acquisition unit 112 to identify a wind speed distribution caused by ventilation equipment in at least one space of a building partitioned by structures. The information about 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 an arrangement possible area that indicates an area in which a human attribute object can be arranged in the space.

[0052] When creating the possible placement area, the calculation unit 113 may use the specified wind speed distribution to specify an allowable number of people distribution indicating the distribution area of ​​the number of people that can be allowed to stay in the space, and create the possible placement area using the specified 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 arranging furniture so that people can stay while maintaining air quality.

[0053] Furthermore, the calculation unit 113 may use the created arrangement possible area to determine whether the position where the human attribute object is currently placed is permissible. If the calculation unit 113 determines that the position is permissible, it may generate a model including the human attribute object at the position. On the other hand, if the calculation unit 113 determines that the position is not permissible, it may calculate a required ventilation volume, which is the ventilation volume required for the position to be permissible, 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 embodiment will be described in an operation example described later.

[0054] [Result output section 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.

[0055] [Operation of model generator 1] An example of the operation of the model generating device 1 configured as above will be described below.

[0056] Fig. 5A is a flowchart showing an example of the operation of the model generating device 1 according to this embodiment, and Fig. 5B is a flowchart showing the detailed operation of step S5 in Fig. 5A.

[0057] Fig. 6 is a diagram showing an example of shape data according to an operation example of the present embodiment. Fig. 7 is a diagram showing an example of space information according to an operation example of the present embodiment. Fig. 8 is a diagram showing an example of ventilation information according to an operation example of the present embodiment.

[0058] The operation example shown in FIG. 5A and FIG. 5B is performed at the time of detailed design, so that the creation of the basic design drawing for the structure of the building of the building is completed. That is, the arrangement information of the foundation structure object is determined. The 3D model of the building after the basic design is defined as an initial model. The initial model is a model generated from the data of the foundation structure object and the arrangement 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 partitioned by the room and the corridor is determined by the plan view or the elevation view, and for example, the initial model including the room plan view 100 shown in FIG. 6 is determined. In the example shown in FIG. 6, the shape of the room is determined, and the air intake port object 102 indicating the object of the air intake port and the air exhaust port object 101 indicating the object of the air exhaust port are arranged in the space 103 indicating the space of the room. Here, the arrangement of the air intake port object 102 and the arrangement of the air exhaust port object 101 are once determined for the purpose of model generation, but it is also possible to change the arrangement after the model generation.

[0059] First, the model generating device 1 generates and acquires spatial information of a target space from 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 an 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 an initial model including a 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 a 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 a room floor plan 100 as 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.

[0060] Next, the model generating device 1 acquires ventilation information of the space from the HVAC data (S2). In this operation example, the user provisionally determines the approximate placement positions of the equipment in advance using the model generating device 1, and includes the provisionally determined placement positions of the equipment in the HVAC data. The ventilation information is information about an object that ventilates the space.

[0061] In this embodiment, the acquisition unit 112 of the model generating device 1 acquires ventilation information of a target space from 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 HVAC objects, from HVAC objects 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 ventilation attributes 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 ventilation attributes OUT, air volume QB, and wind direction DB for the air exhaust port object 101 indicated by the ID of I01 are shown. Note that OUT means exhaust, and IN means supply. Also, in FIG. 8, X coordinates and Y coordinates in the room floor plan 100 shown in FIG. 6 are shown as arrangement information of the air supply port object 102 indicated by the ID of O01 and the air exhaust port object 101 indicated by the ID of I01. Note that the model generating device 1 is not limited to acquiring the planar arrangement and planar ventilation capacity as shown in FIG. 8 as ventilation information. The model generating device 1 may acquire a three-dimensional arrangement and a three-dimensional ventilation capacity as the ventilation information. Hereinafter, the operation example will be continued by returning to FIG.

[0062] Next, the model generating device 1 uses the information acquired in steps S1 and S2, that is, the space information and the ventilation information, to identify a wind speed distribution that indicates the distribution of wind speeds in the space (S3).

[0063] FIG. 9 is a diagram showing an example of wind speed distribution according to an operation example of this embodiment.

[0064] 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 wind speed distribution by the ventilation equipment in the space. The model generation device 1 specifies 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 specifies a wind speed distribution showing 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 showing 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 is shown as the wind speed distribution. The model generation device 1 may specify a three-dimensional wind speed distribution as well as a two-dimensional wind speed distribution as shown in FIG. 9. The operation example will be continued below, returning to FIG. 5A.

[0065] 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 a 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) 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 for the Building Management Act recommended by the Ministry of Health, Labor and Welfare, and requires a ventilation volume of 30 m per hour. 3 / h. 30m3 / h is equivalent to three ventilations per hour (assuming a human volume of 10 m 3 The required ventilation volume is not limited to the standard set by an official institution, and may be, for example, a value set by the user.

[0066] Fig. 10 is a diagram showing an example of predetermined air quality conditions according to an operation example of this embodiment. Fig. 11 is a diagram showing an example of air quality information according to an operation example of this embodiment.

[0067] In this operation example, in step S4, first, the calculation unit 113 of the model generating 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 generating 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.

[0068] Here, a method for converting the required ventilation volume into wind speed (average wind speed) for the permissible number of people will be described.

[0069] For example, let the area of ​​the space in which a person exists be A (m 2 ) and the height is h (m), the required ventilation volume can be expressed as follows (Equation 1).

[0070] 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) × space area A (m 2 ) × space height h (m)…(Formula 1)

[0071] Furthermore, if the average wind speed in the space is VF (m / sec), the required ventilation volume can be expressed as follows (Equation 2).

[0072] Required ventilation volume (m 3 / h) = area of ​​space A (m 2 ) × Average wind speed VF (m / sec) × 3600…(Formula 2)

[0073] From (Equation 1) and (Equation 2), the average wind speed can be expressed as follows (Equation 3).

[0074] Average wind speed VF (m / sec) = Required ventilation rate per hour (times / h) x Space height h (m) / 3600... (Formula 3)

[0075] From this (Equation 3), if we convert the ventilation rate of 12 times as specified 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 is approximately 0.007 m / sec. Here, the height of the space, h (m), is set to 2 m.

[0076] 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 the air quality conditions converted into wind speed (average wind speed) at the allowable 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 the CDC standard, and shows an air quality information diagram 400 showing areas 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 in the room floor plan 100 shown in Fig. 6. Hereinafter, returning to Fig. 5A, the rest of the operation example will be explained.

[0077] Next, the model generating device 1 creates and outputs a possible placement area where a predetermined 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 possible placement 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.

[0078] 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 a target space.

[0079] More specifically, in step S5, as shown in FIG. 5B, the model generating device 1 first specifies an allowable number of people distribution indicating a distribution area of ​​the number of people that can be allowed to stay in the space (S51). In this operation example, the model generating device 1 specifies an allowable number of people distribution in the space, for example, shown in FIG. 12, using the air quality information, for example, 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.

[0080] Next, as shown in FIG. 5B, the model generation device 1 creates an area in which the object with human attributes can be placed, using the allowable number of people distribution identified in step S51 (S52).

[0081] In this operation example, the model generating device 1 creates an arrangement possible area as shown in FIG. 13 as an arrangement possible area of ​​a chair object on which one person sits, using the allowable number distribution shown in FIG. 12 specified in step S51. Here, FIG. 13 is a diagram showing an arrangement possible area of ​​a chair object on which one person sits according to an operation example of this embodiment. In the example shown in FIG. 13, an arrangement possible area diagram 600 showing an arrangement possible area of ​​a chair object on which one person sits is shown 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 distribution diagram 500 shown in FIG. 12, the areas 501 to 505 in which one person is allowed are specified as the arrangement possible area shown in the arrangement possible area diagram 600.

[0082] A method in which the model generation device 1 creates an area in which a chair object on which one person can sit, as shown in FIG. 13, can be arranged, will be specifically described below.

[0083] In this operation example, when placing a chair object shown in FIG. 3A, for example, the model generating device 1 acquires person attribute information as shown in FIG. 3C corresponding to the chair object shown in FIG. 3A from data for generating a BIM, and determines that the number of people in the chair object shown in FIG. 3A is one. Then, the model generating device 1 finds that a chair object in which one person sits can be placed in all areas (areas 501 to 505) shown in the permissible number of people distribution diagram 500 in FIG. 12 specified in step S51. Therefore, the model generating device 1 can create the possible arrangement area diagram 600 shown in FIG. 13 so that the area equivalent to all areas (areas 501 to 505) shown in the permissible number of people distribution diagram 500 is the possible arrangement area.

[0084] 13 is an average wind speed at a predetermined height in space, the model generation device 1 may be caused to create an arrangement possible area taking into consideration the height of a person's face when sitting on the chair object (person coordinate Z). This case will be described below.

[0085] Fig. 14 is a diagram showing an example of air quality information in the height direction according to an operation example of this embodiment. The dashed line shown in Fig. 14 indicates the height of the face (coordinate Z=1200). Fig. 15 is a diagram showing a possible arrangement area taking into account the height direction of a chair object on which one person sits according to an operation example of this embodiment.

[0086] 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 permissible number of people shown in Figure 10 to create air quality information in the vertical direction shown in Figure 14, along with air quality information on a plane shown in Figure 11.

[0087] Next, in step S5, the model generating device 1 creates, as an arrangement area for a chair object on which one person can sit, an arrangement area taking into consideration the height direction as shown in Fig. 15, along with an arrangement area on a plane as shown in Fig. 13. In the example shown in Fig. 15, the model generating device 1 creates, as an arrangement area taking into consideration the height direction, an area (width) that coincides with the height of the face among the areas indicated by the air quality information shown in Fig. 14.

[0088] The model generation device 1 may then display only the area where the planar placeable area shown in FIG. 13 overlaps with the placeable area taking into account the height direction shown in FIG. 15 as the placeable area for a chair object for one person to sit in, either in two dimensions or three dimensions for convenience.

[0089] Fig. 16 is a diagram showing another example of air quality information in the height direction according to an operation example of this embodiment. In Fig. 16, a dashed line indicating the height of a face (coordinate Z = 1200) is shown, along with an arrow indicating the direction of the face.

[0090] 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 the present invention 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 the 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 a direction from left to right on the dashed line indicating the height of the face (coordinate Z=1200), and the face direction 411b is a direction 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 generating device 1 can weight and expand the area showing the air quality information created in step S4 by, for example, 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 generating device 1 can create the arrangement possible area taking the height direction shown in Fig. 15 into consideration as it is in step S5.

[0091] In the above, the case where the model generation device 1 creates an area where a chair object on which one person can sit can be placed has been described, but this is not limiting. The model generation device 1 may also create an area where a desk object can be placed. This case will be described below.

[0092] Fig. 17 is a diagram showing an arrangement area of ​​a desk object that can be used by four people at the same time according to an operation example of this embodiment. In the example shown in Fig. 17, an arrangement area diagram 620 showing an arrangement area of ​​a desk object that can be used by four people at the same time is shown in the room floor plan 100 shown in Fig. 6.

[0093] That is, in this operation example, in step S52, the model generation device 1 may create a possible arrangement area as shown in FIG. 17 as a possible arrangement area for a desk object that can be used by four people simultaneously, using the allowable number distribution shown in FIG. 12 identified in step S51.

[0094] Next, an example of attribute information of a desk object that is used by the model generation device 1 when creating an area in which desk objects can be arranged that can be used by four people at the same time, as shown in FIG. 17, will be described.

[0095] Fig. 18A is a diagram showing a desk object that can be used by four people at the same time according to an operation example of this embodiment, Fig. 18B is a diagram showing attribute information of the chair object shown in Fig. 18A according to this embodiment.

[0096] The chair object shown in Fig. 18A is one of the objects provided by RUG, for example. The attribute information according to the present 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, contents related to items of identification information such as the number of people, the direction, the person coordinates X to Z, and the staying rate are included. These contents are as described above, and therefore detailed description here is omitted.

[0097] For example, when placing a desk object shown in FIG. 18A, the model generation device 1 acquires person attribute information as shown in FIG. 18B corresponding to the desk object shown in FIG. 18A from data for generating a 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 shown in FIG. 18A is four, which is the maximum number of people expected to stay around the desk object. Then, the model generation device 1 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 specified in step S51. As a result, the model generation device 1 can create the arrangement possible area diagram 620 shown in FIG. 17 so that the area equivalent to the area 501 shown in the allowable number of people distribution diagram 500 is the arrangement possible area.

[0098] The number of people (allowable number of people) of a desk object may be the product of the maximum number of people expected to stay around the desk object and the visit rate at the desk object. In other words, in the case of the desk object shown in Fig. 18B, the maximum number of people (4 people) x visit rate (0.2) = 0.8 people may be used as the allowable number of people for the desk object.

[0099] 17 is an average wind speed at a predetermined height in space, 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, the model generation device 1 may be caused to create an arrangement area taking into account the height of a person's face when sitting on the desk object (person coordinate Z), as in the above case. Hereinafter, the operation example will be continued, returning to FIG. 5A.

[0100] 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, in Revit, which is a BIM tool from Autodesk, it is known that 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. 6 using the placeable area of ​​the person attribute object created in step S5.

[0101] In step S4 or S5, the model generating device 1 obtains the arrangement possible area map and the air quality information map as the creation results, but obtaining these is not essential as long as the arrangement possible area and the air quality information can be identified. For example, the model generating 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.

[0102] Furthermore, after the operation shown in FIG. 5A, that is, after the processing of step S6, the model generation device 1 generates a model including the placed human attribute object.

[0103] [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.

[0104] More specifically, there is a high possibility that people will stay on or around specific furniture placed in a building. For example, if the furniture is a chair, there is a high possibility that people will sit (stay) on the chair, and if the furniture is a desk, there is a high possibility that people will stay around it. For this reason, it is desirable to maintain a certain level of air quality around furniture where people are likely to stay.

[0105] However, in conventional building designs, the only thing designed was the placement of ventilation equipment to constantly ventilate a certain amount of air within the building.

[0106] 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 air quality information obtained by identifying the wind speed distribution by the ventilation equipment and the person attribute information. This allows the model generation device 1 or a designer to easily use the created placeable area for the person attribute object to place the person attribute object in consideration of the air quality around people who may be staying within the space of the building.

[0107] According to this embodiment, the model generating device 1 may display the specified wind speed distribution by superimposing it on a room plan included in the shape data. In this case, the model generating device 1 or the designer can easily design the layout and capacity of the HVAC equipment. Furthermore, by using the air quality information in the form of a drawing, the model generating device 1 or the designer can easily arrange human attribute objects that can maintain the air quality around people even if they stay for a long time.

[0108] In the above description, it has been assumed 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 can be achieved by calculating and using the maximum value. Furthermore, if there is equipment other than the air supply equipment and exhaust equipment, such as an air conditioner, the wind speed and wind direction of the equipment can be taken into consideration when determining the above-mentioned wind speed distribution. This allows for processing similar to that described in the above operation example, etc.

[0109] In the above, for example, a placement possible area for a human attribute object is created in Fig. 13 and the like to determine the placement of the human attribute object, but this is not limited to the above. A placement impossible area in which the space cannot be secured even if a human attribute object is placed may be created instead to determine the placement of the human attribute object, and the same effect can be obtained.

[0110] (Modification) The above-described operational example is not limited to the operational example of the model generating device 1. Another operational example of the model generating device 1 will be described below as a modified example.

[0111] 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 space 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.

[0112] The operation example shown in FIG. 19 is performed during layout design in which a designer manually performs the layout (placement) of furniture, etc. during or after the detailed design. For this reason, 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, it is assumed that the design of the placement and capacity of 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.

[0113] In the following, matters already explained in the above embodiment will be omitted as appropriate, and an operation example will be explained focusing on the differences from the above embodiment.

[0114] First, the model generating device 1 acquires spatial information of a target space from the shape data (S11). In this modification, 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 on the spatial arrangement and information on the shapes 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, and therefore a detailed description thereof will be omitted here.

[0115] Next, the model generating device 1 acquires ventilation information of the space from the provisionally placed HVAC object (S12). In this modification, the model generating device 1 acquires 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.

[0116] Next, the model generating device 1 acquires person attribute information from the temporarily placed person attribute object (S13). In this modification, the model generating device 1 acquires arrangement information shown in FIG. 23 included in the person attribute information associated with the desk object and chair object temporarily placed as shown in FIG. 20 from these. FIG. 23 shows, as arrangement information of the desk object indicated by the ID of H01, that four people can use it at the same time, and the X coordinate and Y coordinate of the person when the desk object in the room floor plan 150 shown in FIG. 20 is used by a person. FIG. 23 also shows, as arrangement information of the chair object indicated by the ID of H02, that one person can use it, and the X coordinate and Y coordinate of the person when the chair object in the room floor plan 150 shown in FIG. 20 is used by a person.

[0117] Next, the model generating device 1 identifies the wind speed distribution in the space using the information acquired in steps S11 and S12 (S14).

[0118] Fig. 24 is a diagram showing an example of wind speed distribution according to this modified example. In the example shown in Fig. 24, a wind speed distribution diagram 250 showing an area where the wind speed (average wind speed) is 0.007 m / s or more in the room plan 150 shown in Fig. 20 is shown as the wind speed distribution. Note that the wind speed distribution shown in Fig. 24 is similar to the wind speed distribution shown in Fig. 9, so a detailed description thereof will be omitted here.

[0119] Next, the model generating device 1 uses the wind speed distribution specified in step S14 and the predetermined air quality conditions to create air quality information that is information indicating the area in the space that satisfies the air quality conditions (S15). In this modification, the model generating device 1 may convert the predetermined air quality conditions, such as the required ventilation volume determined by the CDC standard, into the wind speed conditions for the allowable number of people, as shown in FIG. 10. Then, the model generating device 1 creates air quality information as shown in FIG. 25 using the wind speed distribution specified in step S14 and the air quality conditions converted into the 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 modification. In the example shown in FIG. 25, as in FIG. 11, an air quality information diagram 450 is shown that shows the 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.

[0120] Next, the model generating device 1 creates an arrangement area in which the human attribute object can be arranged, 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).

[0121] Fig. 26A is a diagram showing an area in which a chair object for one person can be arranged according to this modified example, and Fig. 26B is a diagram showing an area in which a desk object for four people can be arranged according to this modified example.

[0122] In this modification, the model generating device 1 uses the air quality information created in step S15, for example, as shown in Fig. 25, to specify an allowable number of people distribution (not shown) in the space, and creates an area where a person attribute object can be placed using the specified allowable number of people distribution. More specifically, the model generating device 1 may specify an allowable number of people distribution indicating an area where 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.

[0123] For example, the model generation device 1 uses the specified allowable number distribution to create an arrangement area as shown in an arrangement area diagram 650 in Fig. 26A as an arrangement 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 specified allowable number distribution to create an arrangement area as shown in an arrangement area diagram 651 in Fig. 26B as an arrangement area for a desk object that can be used by four people simultaneously and is indicated by an ID of H02. Hereinafter, returning to Fig. 19, the continuation of the operation example will be described.

[0124] Next, the model generation device 1 determines whether or not the provisionally determined current arrangement of the object with human attributes is permitted (S17). In this modified example, the model generation device 1 determines whether or not the position where the object with human attributes is currently arranged is permitted, using the arrangement possible area created in step S16.

[0125] In step S17, if the current arrangement of the person attribute objects is permitted (Yes in S17), the model generation device 1 ends the process shown in Fig. 19 and generates a model including the current arrangement of the person attribute objects. In this modification, it can be seen from the arrangement possible area diagram 650 in Fig. 26A that the current arrangement of the chair objects in H01 can ensure space quality. In other words, the current arrangement is permitted.

[0126] On the other hand, in step S17, if the current arrangement of the human attribute object is not permitted (No in S17), the model generation device 1 calculates the required ventilation volume for permitting the current arrangement of the human attribute object (S18).

[0127] In this modified example, it can be seen from the possible arrangement area diagram 651 in Fig. 26B that the air quality cannot be ensured with the current arrangement of the desk object of H02. In other words, the current arrangement is not permitted. For this reason, the model generating device 1 calculates the required ventilation volume to permit the current arrangement of the desk object of H02. For example, the model generating device 1 calculates the required wind speed, which indicates the amount of ventilation required to permit the current arrangement of the desk object of 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.

[0128] Next, the model generating device 1 asks the user whether or not to modify the ventilation information as shown in FIG. 22 (S19).

[0129] In step S19, if the ventilation information is to be corrected (Yes in S19), the process is started over from step S14 using the ventilation information corrected by the user or the model generating device 1.

[0130] On the other hand, in step S19, if the ventilation information is not to be corrected (No in S19), the placement of the current human attribute object, the placement of which is not permitted, is corrected (S20), and the process is repeated from step S11.

[0131] Assume that the wind speed indicated in the air quality information for the current location of the H02 desk object is 0.004 m / s. In this case, the required wind speed (air quality) for the location of the H02 desk object is 0.028 m / s, which is about seven times the current wind speed. Therefore, it is necessary to re-determine the capacity or location of the ventilation equipment.

[0132] Here, the model generation device 1 or the equipment designer may correct the ventilation information shown in Fig. 22 by, for example, reselecting ventilation equipment devices 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 correct the placement of the desk object of H02 to a position that satisfies the required wind speed (air quality). Note that the model generation device 1 may present these correction method candidates to the equipment designer and have the equipment designer select one, or the equipment designer may make the correction himself.

[0133] In step S17, if the placement of the current human attribute object is not permitted (No in S17), the model generation device 1 may automatically correct the placement of the current human attribute object, the placement of which 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 Autodesk Revit API. Therefore, by using this function, the model generation device 1 can automatically correct the placement of the current human attribute object, the placement of which is not permitted, to a permitted position. This makes it easy to perform placement design, such as placing a human attribute object at a position where air quality can be ensured.

[0134] [Effects, etc.] As described above, according to this modification, the model generation device 1 can correct the placement of the person attribute object to a permissible position by determining whether the current person attribute object can be placed. This allows the model generation device 1 to generate a BIM model including a person attribute object placed in a permissible position.

[0135] Furthermore, according to this modification, 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 the air quality can be ensured. Therefore, not only can the model generating device 1 or the designer easily design HVAC equipment, but also furniture can be easily placed so as to maintain the air quality around people.

[0136] In the present disclosure, furniture objects such as desks, chairs, and beds have been described as examples of human attribute objects, but the present invention is not limited to this.

[0137] For example, an object such as a space where a person stays for a long time may be given person attribute information as a person attribute object, and a similar effect can be obtained. Spaces where a person stays for a long time include, for example, a corridor or a toilet, where an unspecified number of people come and go, and as a result, people stay for a long time. Then, for an object such as such a space, the expected stay value (number of people) can be set as the person attribute information, and the object can be treated as a person attribute object. For example, if the space is a toilet, the expected stay value of the space can be set or calculated from the number of sanitary fixtures, and if the space is a corridor, the capacity of each room. In this way, it can be determined whether the space can be arranged in the target space according to the above operation example, so that the layout design of the space can be easily performed while ensuring air quality.

[0138] Furthermore, in the present disclosure, at the design stage, the optimal ventilation volume can be achieved by taking into account human attribute objects and arranging objects such as ventilation equipment, thereby making it possible to minimize the energy required for air conditioning.

[0139] The present disclosure is not limited to the above-mentioned embodiment and modified examples. For example, the present disclosure may be realized by combining the components described in this specification in any way, or by excluding some of the components. In addition, the present disclosure also includes modified examples obtained by applying various modifications that a person skilled in the art can think of to the above-mentioned embodiment without departing from the gist of the present disclosure, that is, the meaning of the words described in the claims.

[0140] The present disclosure also includes the following cases:

[0141] (1) The above-mentioned device is specifically a computer system consisting of a microprocessor, ROM, RAM, a hard disk unit, a display unit, a keyboard, a mouse, etc. A computer program is stored in the RAM or hard disk unit. The microprocessor operates according to the computer program, causing each device to achieve its function. Here, the computer program is composed of a combination of multiple instruction codes that indicate commands for a computer to achieve a specified function.

[0142] (2) Some or all of the components constituting the above-mentioned device may be composed of one system LSI (Large Scale Integration). The system LSI is an ultra-multifunctional LSI manufactured by integrating multiple components on one chip, and specifically, is a computer system including 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.

[0143] (3) Some or all of the components constituting the above-mentioned device may be composed of an IC card or a standalone module that is detachable 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 microprocessor operates according to a computer program, causing the IC card or the module to achieve its functions. The IC card or the module may be tamper-resistant.

[0144] (4) The present disclosure may also be embodied as the methods described above, as a computer program for implementing these methods by a computer, or as a digital signal comprising the computer program.

[0145] (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 Blu-ray (registered trademark) Disc (BD), a semiconductor memory, etc. Also, the present disclosure may be a digital signal recorded on such a recording medium.

[0146] Furthermore, the present disclosure may 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, or the like.

[0147] The present disclosure may also provide a computer system having a microprocessor and a memory, the memory storing the above-mentioned computer program, and the microprocessor operating in accordance with the computer program.

[0148] In addition, the program or the digital signal may 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. [Industrial Applicability]

[0149] 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. [Explanation of symbols]

[0150] 1. Model generation device 10 Input section 11 Arithmetic circuit 12. Memory 13 Output section 14 Storage section 15 Communications Department 16 Database 100, 150 Room floor plan 104a Program 104b Temporary Data 112 Acquisition Department 113 Arithmetic section 114 Result output section 200, 250 Wind speed distribution map 400, 450 Air Quality Information Map 500 Capacity Distribution Map 600, 620, 650, 651 Placement area map

Claims

1. 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.

2. A model generation device that generates a model of a building using information about objects of the building, including structures constituting the building, ventilation equipment 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 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; Using the arrangement possible area, it is determined whether or not a position where the human attribute object is provisionally arranged is permissible; 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.

3. The model of the building is included in BIM (Building Information Modeling) data, 3. The model generating device according to claim 1 or 2.

4. 1. A model generation method for generating a model of a building using information on objects of the building, including a structure constituting the building, a ventilation system 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.

5. 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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