Evaluation support apparatus, evaluation support method, and evaluation support program
The evaluation support device accurately calculates the green view index by considering both indoor and outdoor greenery visible through building windows, addressing the challenge of inefficient plant placement due to inaccurate greenery visibility calculations.
Patent Information
- Application Number
- JP2024011530
- Authority / Receiving Office
- JP · JP
- Patent Type
- Applications
- Current Assignee / Owner
- Filing Date
- 2024-01-30
- Publication Date
- 2025-08-12
AI Technical Summary
Existing systems fail to accurately calculate the greenery visibility ratio, which is crucial for efficiently arranging plants, as they do not consider greenery visible through building windows.
An evaluation support device that includes a control unit to acquire a spatial model of a building with transparent members and greening models, identifying visible greening models inside and through transparent members, and calculating a greenery visibility index based on their area proportion within the viewpoint's field of view.
Enables accurate evaluation of the green view index, supporting efficient plant arrangement by considering both indoor and outdoor greenery visible from a building.
Smart Images

Figure 2025116967000001_ABST
Abstract
Description
[Technical Field]
[0001] The present disclosure relates to an evaluation support device, an evaluation support method, and an evaluation support program that support the evaluation of a building. [Background technology]
[0002] The greenery ratio (GRI) is sometimes considered in buildings. The GRI is the proportion of greenery in the field of view. It is one of the indicators of the amount of greenery in a city, and indicates the presence of greenery visible to people in the city, such as roadside trees, hedges, and green walls. The GRI is utilized in urban development, such as public facilities and urban centers. In recent years, the GRI has also attracted attention as part of office environment improvement. For example, a plant placement support system has been developed that arranges plants so that the desired GRI for multiple office users is achieved (see, for example, Patent Document 1). The plant placement support system described in this document includes a database that stores various plants and numerically stores information on the size, shape, and area of the green portions of each plant. The system also includes a means for inputting the location where the plant is to be placed in the office, a means for inputting the locations of multiple users, and a means for inputting the desired GRI. The system then arranges the plants in the desired location by combining the various plants stored in the database so that the desired GRI matches the average GRI for the multiple users. [Prior art documents] [Patent documents]
[0003] [Patent Document 1] Japanese Patent Application Laid-Open No. 2018-147434 Summary of the Invention [Problem to be solved by the invention]
[0004] However, if the amount of visible greenery cannot be accurately calculated, it will be impossible to efficiently arrange plants. For example, trees outside a building may be visible through the windows of the building. If such trees are not taken into consideration, it will be impossible to accurately calculate the greenery visibility ratio. [Means for solving the problem]
[0005] An evaluation support device for solving the above problem includes a control unit that supports the design of a building arranged in a three-dimensional space. The control unit acquires a spatial model of the building that includes a transparent member and greening models arranged inside and outside the spatial model, identifies greening models that are visible inside the spatial model and greening models that are visible through the transparent member within a visual field of a viewpoint arranged within the spatial model, and calculates a greenery view index for the spatial model according to the area proportion of the identified greening models within the visual field of the viewpoint. [Effects of the Invention]
[0006] According to the present invention, it is possible to support accurate evaluation of the green view index in a building. [Brief explanation of the drawings]
[0007] [Figure 1] FIG. 1 is an explanatory diagram of a system according to an embodiment. [Figure 2] FIG. 2 is an explanatory diagram of a hardware configuration of the embodiment. [Figure 3] FIG. 2 is an explanatory diagram of a processing procedure according to an embodiment. [Figure 4] FIG. 1 is an explanatory diagram of the arrangement of plants according to an embodiment. [Figure 5] 1A and 1B are explanatory diagrams of the green visibility distribution of the embodiment, in which FIG. 1A is an explanatory diagram of the green visibility distribution of the holes in the first layout, and FIG. 1B is an explanatory diagram of the green visibility distribution of the holes in the second layout. DETAILED DESCRIPTION OF THE INVENTION
[0008] An embodiment of an evaluation support device, an evaluation support method, and an evaluation support program will be described below with reference to Figures 1 to 5. In this embodiment, an evaluation support device, an evaluation support method, and an evaluation support program will be described as being used when constructing a building while calculating a greenery index that takes into account the greenery around the building arranged in a three-dimensional space. Here, the greenery index is the proportion of the green area of plants in a person's field of vision. In this embodiment, as shown in FIG. 1, a user device 10 and a support device 20 are used.
[0009] (Hardware configuration description) 2, the hardware configuration of the information processing device H10 that constitutes the user device 10 and the support device 20 will be described. The information processing device H10 includes a communication device H11, an input device H12, a display device H13, a storage device H14, and a processor H15. Note that this hardware configuration is an example, and it can also be realized by other hardware.
[0010] The communication device H11 is an interface that establishes a communication path with another device and executes data transmission and reception, and is, for example, a network interface or a wireless interface.
[0011] The input device H12 is a device that accepts input of various information, such as a mouse, a keyboard, etc. The display device H13 is a display or the like that displays various information. The storage device H14 is a storage device that stores data and various programs for executing various functions of the user device 10 and the support device 20. Examples of the storage device H14 include a ROM, a RAM, and a hard disk.
[0012] The processor H15 uses programs and data stored in the storage device H14 to control each process in the user device 10 and the support device 20. Examples of the processor H15 include a CPU and an MPU. The processor H15 loads programs stored in a ROM or the like into a RAM and executes various processes for each process.
[0013] The processor H15 is not limited to a processor that performs all of its processing using software. For example, the processor H15 may include a dedicated hardware circuit (e.g., an application-specific integrated circuit (ASIC)) that performs hardware processing for at least some of the processing it performs. That is, the processor H15 may be configured with the following:
[0014] [1] One or more processors operating according to a computer program (software); [2] One or more dedicated hardware circuits that perform at least some of the various processes; or [3] Circuits containing combinations of these The processor includes a CPU and memory, such as RAM and ROM, that stores program code or instructions configured to cause the CPU to perform processes. Memory, or computer-readable media, includes any available media that can be accessed by a general-purpose or special-purpose computer.
[0015] (System Configuration) Next, each function of the evaluation support system will be explained using FIG. The user device 10 is a computer terminal used by a person in charge of designing a building.
[0016] The support device 20 is a computer system (evaluation support system) that supports the design of a building using BIM (Building Information Modeling). The support device 20 includes a control unit 21, a design information storage unit 22, and an analysis result storage unit .
[0017] The control unit 21 functions as a management unit 211, an analysis unit 212, and a support unit 213 by executing the evaluation support program. The management unit 211 acquires design information including the structure, such as a building, to be processed. The analysis unit 212 executes a process for calculating the green vision index. The support unit 213 executes a process for supporting the placement of plants.
[0018] The design information storage unit 22 stores design information including buildings created in BIM and their surrounding environments (city blocks). This design information is recorded when a building is designed using BIM. The building design information includes basic information, element model information, layout information, and attribute information.
[0019] The basic information includes the building identifier, the name of the construction site, the longitude and latitude, etc. Element model information is information about the 3D model (object) of each element that makes up a building structure. This element model includes not only the building itself, but also structures around the building (for example, street blocks such as sidewalks) and trees. It also includes element models of ornamental plants whose placement has not yet been determined.
[0020] The placement information includes information about the coordinates at which each element model is to be placed. Note that no placement information is recorded for element models of appendages whose placement has not yet been determined. The attribute information is attribute information of this element model. This attribute information includes information about the specifications of the element model (size, use, etc.). The attribute information of a tree includes tree information about the type of tree, age, etc. The tree information includes growth form, seasonal fluctuations, and the percentage of green when the tree is visually recognized.
[0021] The analysis result storage unit 23 stores the analysis result of the green vision index calculated by the simulation. The analysis result is stored when the evaluation support process is performed. The analysis result includes information about the evaluation target area, location, and green vision index.
[0022] The evaluation target area is information for specifying an area for calculating the greenness perception index (for example, an interior of a building on a predetermined floor). The location is information about the location (coordinates) of the user within the evaluation target area. The green vision index is information about the proportion of green that can be seen within the user's field of vision at this location.
[0023] (Evaluation support processing) The evaluation support process will be described with reference to FIGS.
[0024] First, the control unit 21 of the support device 20 executes a process for identifying an evaluation target (step S11). Specifically, the management unit 211 of the control unit 21 acquires design information (building model) of a building specified in the user device 10, and records it in the design information storage unit 22. Furthermore, the management unit 211 identifies an evaluation target area (a specified room) specified in the building model. Furthermore, the management unit 211 acquires design information (block model) of a city block surrounding the building, and records it in the design information storage unit 22.
[0025] 4, an evaluation target region R1 is identified in a building model B1. A plurality of windows W1 are provided in this building model B1. In this embodiment, the windows W1, which have transparency, function as transparent members. Next, the control unit 21 of the support device 20 executes a process for identifying a greening model (step S12). Specifically, the management unit 211 of the control unit 21 identifies a street tree model around a building as a greening model in the block model recorded in the design information storage unit 22. Furthermore, the management unit 211 identifies ornamental plants and the like placed indoors in the evaluation target area as a greening model.
[0026] As shown in FIG. 4, a greening model G1 of roadside trees and the like is arranged around a building model B1, and a greening model G2 of ornamental plants and the like is arranged within an evaluation target area R1. Next, the control unit 21 of the support device 20 divides the evaluation target region into areas of a predetermined size, specifies a processing target area, and sequentially repeats the following processing for each specified processing target area.
[0027] Here, the control unit 21 of the support device 20 executes a process for specifying the field of view range (step S13). Specifically, the analysis unit 212 of the control unit 21 sets a viewpoint at a predetermined position (e.g., the center) of the processing target area and at a predetermined height (e.g., the height position of a standard body type in a sitting or standing position). Here, the standard body type may be, for example, the average body type of a user in the evaluation target area R1. Then, the analysis unit 212 acquires an image (field of view range image) of the area included in a predetermined field of view direction range from this viewpoint. In this case, the predetermined direction range may be set randomly, or may be omnidirectional. An evaluation target region R1 is specified as shown in Fig. 4. This building model B1 is provided with a plurality of windows W1 (transparent members).
[0028] Next, the control unit 21 of the support device 20 executes a process for calculating a green view ratio visible in the field of view range (step S14). Specifically, the analysis unit 212 of the control unit 21 calculates the total field of view area included in the field of view range image. Next, the analysis unit 212 calculates the area occupied by the greening model included in the field of view range image. In this case, the analysis unit 212 identifies the greening model of an indoor ornamental plant that is visible from the viewpoint. Furthermore, the analysis unit 212 identifies a light-transmitting member (e.g., a window) using attribute information of the members constituting the room. Then, the analysis unit 212 identifies the greening model of a roadside tree that is visible from the viewpoint via the light-transmitting member. In this case, the analysis unit 212 identifies the greening model of a roadside tree that is visible to the user according to the position of the viewpoint, the height position of the window on the floor of the evaluation target area, and the height of the greening model of the roadside tree. Then, the analysis unit 212 calculates the area ratio (green view ratio) occupied by the greening model with respect to the total field of view area.
[0029] As shown in FIG. 4, at a viewpoint P1, greening models G1 and G2 included in a visual field V1 are identified. Then, the control unit 21 of the support device 20 repeats the above process until it is completed for all areas in the room.
[0030] Next, the control unit 21 of the support device 20 executes a process of generating a distribution of green vision ratios indoors (step S15). Specifically, the support unit 213 of the control unit 21 generates a map (green vision map) in which green vision ratios are arranged for each area.
[0031] Next, the control unit 21 of the support device 20 executes a process of calculating the green vision index in the room (step S16). Specifically, the support unit 213 of the control unit 21 calculates the green vision index in the room to be evaluated using statistical values (e.g., average value, standard deviation) of the green vision map.
[0032] (Action of this embodiment) Greening models are placed inside and outside the area to be evaluated, so an index for visual recognition of greenery in an integrated manner is calculated.
[0033] (Effects of this embodiment) (1) In this embodiment, the control unit 21 of the support device 20 executes a process of specifying an evaluation target (step S11), thereby specifying an area for calculating the green vision index.
[0034] (2) In this embodiment, the control unit 21 of the support device 20 executes a process for identifying a greening model (step S12). This allows the foliage plants present within the evaluation target area R1 and the roadside trees present outside to be identified as targets of the greenery perception index.
[0035] (3) In this embodiment, the control unit 21 of the support device 20 executes a process of specifying the field of view range (step S13) and a process of calculating the proportion of green visible in the field of view range (step S14). This allows the control unit 21 to specify the green that is visible in the field of view.
[0036] (4) In this embodiment, the control unit 21 of the support device 20 executes a process for generating a distribution of green perception ratios indoors (step S15), thereby making it possible to grasp the amount of green that can be seen in an indoor environment.
[0037] (5) In this embodiment, the control unit 21 of the support device 20 executes a process of calculating the indoor green vision index (step S16), thereby making it possible to evaluate the green vision environment of the evaluation target area R1. FIG. 5(a) shows the distribution of greenery in a hall 510 configured with the first layout, and FIG. 5(b) shows the distribution of greenery in a hall 520 configured with the second layout. It is assumed that the walls of the halls 510 and 520 are open, allowing a view of the greenery outside through windows W1. Compared to the hall 510, the hall 520 has a greater number of windows W1 facing the outside. Therefore, it can be seen that the area with a greenery view rate of 25% or more is 33% in the hall 510, but has improved to 49% in the hall 520. The greenery view rate is lower in the back area 511 of the hall 510 and the area 521 behind the pillar C1 in the hall 520 (opposite the window W1).
[0038] This embodiment can be modified as follows: This embodiment and the following modifications can be combined and implemented within the scope of technical compatibility. In the above embodiment, the control unit 21 of the support device 20 executes a process for identifying the evaluation target (step S11). In this case, the evaluation target is not limited to roadside trees around the building. For example, a afforestation model of a mountain visible from the building may be placed.
[0039] In the above embodiment, the control unit 21 of the support device 20 executes a process of identifying the field of view range (step S13). Here, multiple viewpoint positions may be used. Furthermore, the control unit 21 may identify the field of view direction that is likely to be facing, taking into account the seating arrangement, etc.
[0040] In the above embodiment, the control unit 21 of the support device 20 executes a process for calculating the proportion of greenery visible within the field of view (step S14). In this case, the state of the roadside trees may be modified according to the season. For example, the type of roadside tree may be identified, and the state of its leaves at the time of evaluation may be specified. For example, a greening model that represents the state of leaves according to the season, such as the period of new greenery or the period of leaf fall, may be used to change the amount of greenery visible through the window. Then, a statistical value of the proportion of greenery visible throughout the evaluation period, such as a year, may be calculated.
[0041] In the above embodiment, the control unit 21 of the support device 20 executes a process for calculating the green view ratio visible within the field of view range (step S14). In this case, the green view ratio may be calculated taking into account plant growth. In this case, the amount of plant growth during the evaluation period is predicted, and the greening model is modified according to this growth amount. Furthermore, as described above, a greening model that expresses the state of leaves according to the season may be used. Then, a statistical value of the green view ratio visible throughout the evaluation period may be calculated.
[0042] In the above embodiment, the control unit 21 of the support device 20 executes a process of calculating the green vision ratio visible within the visual field range (step S14). In this case, the operation status of the blinds on the windows may be taken into consideration. For example, the control unit 21 of the support device 20 adjusts the opening ratio of the blinds based on the incident light according to the position of the sun. Then, the control unit 21 corrects the green vision ratio according to this opening ratio.
[0043] In the above embodiment, the control unit 21 of the support device 20 executes a process for generating a distribution of the green view ratio indoors (step S15). In this case, the arrangement of indoor foliage plants may be modified according to the distribution of the green view ratio. In this case, a greening model of indoor foliage plants may be added so that the green view ratio in all areas is equal to or greater than a reference value. Furthermore, the arrangement of the greening model, for example, indoors, may be adjusted by simulation so that the deviation of the green view ratio in each area falls within a predetermined range.
[0044] Next, the technical ideas that can be understood from the above-described embodiment and other examples will be described below. 2. The evaluation support device according to claim 1, wherein (a) the control unit identifies the transparent member using attribute information of each element included in the design information.
[0045] (b) The evaluation support device according to claim 1 or (a) above, characterized in that the control unit specifies roadside trees around a building as a greening model. (c) The evaluation support device according to (a) and (b) above, characterized in that the control unit calculates a green view ratio using attribute information of the roadside trees.
[0046] (d) The evaluation support device described in any one of (a) to (c) above, characterized in that the control unit identifies the greening status of the street trees according to the evaluation period and calculates the green view ratio.
[0047] (e) The evaluation support device according to any one of (a) to (d) above, characterized in that the control unit specifies a viewpoint in a specific posture of a standard body type. (f) The evaluation support device according to any one of (a) to (e), characterized in that the control unit calculates the distribution of the green view ratio of each area arranged within the spatial model.
[0048] (g) The evaluation support device according to any one of (a) to (f) above, characterized in that the control unit calculates a green vision index according to the distribution of green vision ratios in each area. [Explanation of symbols]
[0049] G1, G2...greening model, P1...viewpoint, 10...user device, 20...support device, 21...control unit, 211...management unit, 212...analysis unit, 213...support unit, 22...design memory unit.
Claims
1. An evaluation support device including a control unit that supports the design of a building arranged in a three-dimensional space, The control unit A spatial model including a transparent member and a greening model disposed inside and outside the spatial model are acquired for the building; identifying a greening model visible within the spatial model and a greening model visible through the transparent member within a visual field range of a viewpoint arranged within the spatial model; An evaluation support device characterized by calculating a green view index of the spatial model according to the area proportion occupied by the specified greening model in the visual field range at the viewpoint.
2. A method for supporting design using an evaluation support device equipped with a control unit that supports the design of a building arranged in a three-dimensional space, comprising: The control unit A spatial model including a transparent member and a greening model disposed inside and outside the spatial model are acquired for the building; identifying a greening model visible within the spatial model and a greening model visible through the transparent member within a visual field range of a viewpoint arranged within the spatial model; An evaluation support method characterized by calculating a green view index of the spatial model according to the area proportion occupied by the specified greening model in the field of view range at the viewpoint.
3. A program for supporting design using an evaluation support device equipped with a control unit that supports the design of a building arranged in a three-dimensional space, The control unit A spatial model including a transparent member and a greening model disposed inside and outside the spatial model are acquired for the building; identifying a greening model visible within the spatial model and a greening model visible through the transparent member within a visual field range of a viewpoint arranged within the spatial model; An evaluation support program characterized by functioning as a means for calculating a green view index for the spatial model according to the area proportion occupied by the specified greening model in the field of view range at the viewpoint.
Citation Information
Patent Citations
Plant arrangement support system
JP2018147434A