Evaluation support device, evaluation support method and evaluation support program

Abstract

To provide an evaluation support device, an evaluation support method, and an evaluation support program for supporting evaluation of impact of sunlight in a city.SOLUTION: A support device 20 includes a control unit 21 connected to a user terminal 10. The control unit 21 acquires information on an evaluation target range from the user terminal 10, identifies a structure model included in the evaluation target range, and identifies a physical property value based on a material type of the structure model. Next, the control unit 21 performs an irradiation simulation using the physical property value and sunlight radiation conditions according to solar altitudes for the structure model included in the evaluation target range, calculates an impact amount on the environment, and outputs it to the user terminal 10.SELECTED DRAWING: Figure 1

Description

[Technical field]

[0001] The present disclosure relates to an evaluation support device, an evaluation support method, and an evaluation support program for supporting the evaluation of the impact of sunlight in a city. [Background technology]

[0002] Reflection of sunlight by buildings and the like can affect the surrounding environment. In response to this, a building material selection device has been developed to select building materials taking into account the light reflected by building materials used for roofs and the like (see Patent Document 1). The building material selection device described in this document selects building materials to be used in a building. The control unit includes a light receiving condition setting unit, a reflective surface condition setting unit, a reflection angle calculation unit, a date and time condition setting unit, an external condition setting unit, a direct sunlight intensity calculation unit, an incidence angle calculation unit, a brightness threshold setting unit, a reflection characteristic threshold calculation unit, a reflection characteristic minimum value determination unit, and a material selection unit.

[0003] In addition, a project to open up the facilities and data of 3D city models across Japan is being led by the Ministry of Land, Infrastructure, Transport and Tourism. Here too, city models are used to evaluate the impact of sunlight (see Non-Patent Documents 1 and 2). [Prior art documents] [Patent documents]

[0004] [Patent Document 1] JP 2018-109926 A [Non-patent literature]

[0005] [Non-Patent Document 1] Urban Policy Division, Urban Affairs Bureau, Ministry of Land, Infrastructure, Transport and Tourism, “Report on Verification of Simulation Technology for Solar Power Plant Installation Using 3D City Models”, [online], March 2022, Ministry of Land, Infrastructure, Transport and Tourism, [Retrieved June 18, 2023], Internet<URL:https: / / www.mlit.go.jp / plateau / file / libraries / doc / plateau_tech_doc_0001_ver01.pdf> [Non-Patent Document 2] Ministry of Land, Infrastructure, Transport and Tourism, "Photovoltaic Power Generation Potential Estimation and Reflection Simulation", [online], August 24, 2021, Ministry of Land, Infrastructure, Transport and Tourism [Retrieved June 18, 2023], Internet<URL:https: / / www.mlit.go.jp / plateau / use-case / uc21-001 / > Summary of the Invention [Problem to be solved by the invention]

[0006] The technology described in Patent Document 1 makes it possible to identify models of structures such as buildings that make up a city. However, the effects of sunlight also depend on the materials that make up the structures. In the technologies described in Non-Patent Documents 1 and 2, the physical properties of the materials that make up the structures are not taken into account in the structure models. [Means for solving the problem]

[0007] The evaluation support device for solving the above problem includes a control unit connected to a user terminal, and supports evaluation of the impact of sunlight. The control unit acquires information on an evaluation target range from the user terminal, identifies a structure model included in the evaluation target range, identifies physical property values ​​based on the material type of the structure model, performs an irradiation simulation on the structure model included in the evaluation target range using the solar radiation conditions according to the solar altitude and the physical property values, calculates an impact on the environment, and outputs the calculated amount to the user terminal. Effect of the Invention

[0008] The present invention can assist in assessing the impact of sunlight in cities. [Brief description of the drawings]

[0009] [Figure 1] FIG. 1 is an explanatory diagram of a configuration of an evaluation support system according to an embodiment. [Diagram 2] FIG. 2 is an explanatory diagram of a hardware configuration of the embodiment. [Diagram 3] FIG. 2 is an explanatory diagram of a processing procedure according to an embodiment. DETAILED DESCRIPTION OF THE PREFERRED EMBODIMENTS

[0010] An embodiment in which an evaluation support device, an evaluation support method, and an evaluation support program are embodied will be described below with reference to Figures 1 to 3. In this embodiment, the evaluation support device, the evaluation support method, and the evaluation support program will be described as being used when supporting an evaluation of the influence of sunlight using a three-dimensional city model.

[0011] As shown in FIG. 1, an evaluation support system A1 of this embodiment includes a user terminal 10, a city model information site 15, a map information site 16, and a support server 20, all of which are interconnected via a network.

[0012] (Hardware configuration description) 2, a hardware configuration of an information processing device H10 that constitutes the user terminal 10, the city model information site 15, the map information site 16, and the support server 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.

[0013] The communication device H11 is an interface that establishes a communication path with other devices and transmits and receives data.

[0014] The input device H12 is a device that accepts input of various information. 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 terminal 10, the city model information site 15, the map information site 16, and the support server 20.

[0015] The processor H15 uses the programs and data stored in the storage device H14 to control each process in the user terminal 10 and the support server 20. Examples of the processor H15 include a CPU and an MPU. The processor H15 expands the programs stored in the ROM, etc., into the RAM and executes various processes for each process.

[0016] The processor H15 is not limited to a processor that performs software processing for all the processes it executes. 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 a part of the processes it executes.

[0017] (Evaluation Support System A1) Next, the functions of the user terminal 10, the city model information site 15, the map information site 16, and the support server 20 of the evaluation support system A1 will be described with reference to FIG. The user terminal 10 is a computer terminal used by a user. The city model information site 15 is an information site that provides 3D city models via the Internet. For example, PLATEAU (registered trademark) provided by the Ministry of Land, Infrastructure, Transport and Tourism is used as the city model information site 15. In this 3D city model, LOD (Level of Detail) with different levels of detail of the 3D structure model is set. "LOD0" is a model without height information, and "LOD1" and onwards include height information. In "LOD2", roofs, walls, etc. are further reproduced. In "LOD3", the exterior of the building (windows and doors) is further reproduced. In "LOD4", even the interior of the building is modeled. In this embodiment, "LOD2" or "LOD3" is used.

[0018] The map information site 16 is an information site that provides map information via the Internet. For example, by using Google Earth (registered trademark), a photographed image is pasted as a texture image onto 3D shape information of a building.

[0019] The supporting server 20 is a computer system that predicts the influence of sunlight. The supporting server 20 includes a control unit 21 and a material information storage unit 22. The control unit 21 performs processes (including an information acquisition stage, a prediction stage, an analysis stage, etc.) described below. By executing a processing program for this purpose, the control unit 21 functions as an information acquisition unit 211, a prediction unit 212, an analysis unit 213, etc.

[0020] The information acquisition unit 211 executes a process of acquiring a city model (building information) including a three-dimensional building model. The prediction unit 212 executes a process of predicting the sunlight reflectance according to the material constituting the exterior wall of the structure, using a texture image of the 3D model. For example, the material type is predicted using a prediction model generated by machine learning (deep learning) that inputs the texture image and outputs the material type. Then, the prediction unit 212 predicts the reflectance according to the material type.

[0021] The analysis unit 213 executes a process of analytically calculating the reflection of sunlight using the city model. Here, irradiation analysis is performed using DBM (Discrete Beam Method) and DOM (Discrete Ordinate Method) as the irradiation simulation.

[0022] The material information storage unit 22 records material management information related to materials used in the external components of a structure. The external components are the exterior walls, roofs, etc., that are exposed to the outside of the structure. The material management information is recorded when the reflectance of a material is registered. The material management information records information related to the physical properties of sunlight (here, light reflectance) for each material type.

[0023] (Evaluation support processing) Next, the evaluation support process will be described with reference to FIG. Here, first, the control unit 21 of the support server 20 executes a process of identifying an evaluation target range (step S11). Specifically, the information acquisition unit 211 of the control unit 21 acquires range information on the evaluation target range from the user terminal 10. This range information includes information on coordinates (latitude, longitude) that identify the evaluation target range. Furthermore, the information acquisition unit 211 acquires information on a desired season and time period for performing a solar radiation simulation from the user terminal 10.

[0024] Next, the control unit 21 of the support server 20 executes a process of identifying the city model of the evaluation target range (step S12). Specifically, the information acquisition unit 211 of the control unit 21 acquires the 3D city model of the evaluation target range from the city model information site 15.

[0025] Next, the control unit 21 of the support server 20 executes a process of identifying structure models (step S13). Specifically, the information acquisition unit 211 of the control unit 21 identifies each structure model included in the acquired 3D city model.

[0026] Next, the control unit 21 of the support server 20 executes the following process for each structure model. Here, the control unit 21 of the support server 20 executes a determination process as to whether or not material information can be acquired (step S14). Specifically, the information acquisition unit 211 of the control unit 21 checks whether or not the meta information (attribute information) of the structure model includes information capable of identifying the material of the constituent material.

[0027] If the meta information of the structure model includes information capable of identifying the material and it is determined that the material information can be acquired (YES in step S14), the control unit 21 of the support server 20 executes a process of identifying the material of the external component (step S15). Specifically, the information acquisition unit 211 of the control unit 21 identifies the material type of the external component of this structure from the meta information of the structure model.

[0028] On the other hand, if it is determined that the material information cannot be acquired ("NO" in step S14) because meta-information of the structure model is not included, the control unit 21 of the support server 20 executes acquisition processing of an image of the structure (step S16). Specifically, the information acquisition unit 211 of the control unit 21 acquires the structure image from the map information site 16 using the coordinates of the structure. Then, the information acquisition unit 211 acquires texture images for the external components of each surface of the structure image.

[0029] Next, the control unit 21 of the support server 20 executes a prediction process for the surface material (step S17). Specifically, the prediction unit 212 of the control unit 21 inputs texture images of the surfaces of the external components of the structure to a prediction model to predict the material type of the surface material.

[0030] Next, the control unit 21 of the support server 20 executes a process of specifying the reflectance (step S18). Specifically, the prediction unit 212 of the control unit 21 acquires the reflectance of each surface of the 3D model of the structure from the material information storage unit 22 according to the predicted material type. The above process is repeated until it is completed for all structure models.

[0031] Next, the control unit 21 of the support server 20 executes a process of acquiring the solar radiation conditions (step S19). Specifically, the analysis unit 213 of the control unit 21 acquires information on the solar radiation conditions (sun altitude and solar radiation intensity) of the desired season and time period by calculating the sun altitude according to the latitude and longitude of the evaluation target range.

[0032] Next, the control unit 21 of the support server 20 executes an impact prediction process on the environment (step S20). Specifically, the analysis unit 213 of the control unit 21 calculates the amount of direct solar radiation according to the solar altitude and solar radiation intensity, and the amount of reflected solar radiation at the external components of the structure through solar radiation analysis, using the arrangement of the structure model to which the reflectance has been assigned. In this case, the direct solar radiation and the reflected solar radiation are superimposed to calculate the solar radiation distribution in the evaluation target range as the amount of impact on the environment. Then, the analysis unit 213 outputs the analysis result to the user terminal 10.

[0033] (Operation of the embodiment) The state of sunlight reflection can be determined according to the material of the external components of the structure. In addition, if the material cannot be identified in the 3D city model, a texture image is acquired, and the state of sunlight reflection can be determined from the material type of the texture image.

[0034] According to this embodiment, the following effects can be obtained. (1) In this embodiment, the control unit 21 of the support server 20 executes a process of identifying an evaluation target area (step S11), a process of identifying an urban model of the evaluation target area (step S12), and a process of identifying a structure model (step S13). This makes it possible to obtain a structure model of a desired area. (2) In this embodiment, when it is determined that the material information can be acquired ("YES" in step S14), the control unit 21 of the support server 20 executes a process of identifying the material of the exterior wall (step S15). This makes it possible to identify the solar reflectance based on the information acquired from the city model information site 15. When a high level LOD is set depending on the region, it is possible to perform an efficient solar radiation simulation.

[0035] (3) In this embodiment, when it is determined that the material information cannot be acquired (if "NO" in step S14), the control unit 21 of the support server 20 executes a process of acquiring an image of the structure (step S16). This makes it possible to acquire the exterior wall information of the structure from the map information site 16.

[0036] (4) In this embodiment, the control unit 21 of the support server 20 executes a prediction process of the surface material (step S17). This makes it possible to identify the state of the exterior wall using a texture image acquired from the map information site 16. Even if information on the exterior wall cannot be acquired due to a low LOD in some areas, the physical property values ​​of the exterior wall can be predicted.

[0037] (5) In this embodiment, the control unit 21 of the support server 20 executes a process of acquiring solar radiation conditions (step S19) and a process of predicting the impact on the environment (step S20). This makes it possible to perform a solar radiation simulation by supplementing information that cannot be acquired from the city model information site 15 with information acquired from the map information site 16.

[0038] This embodiment can be modified as follows: This embodiment and the following modifications can be combined with each other to the extent that there is no technical contradiction. In the above embodiment, the user terminal 10, the city model information site 15, the map information site 16, and the support server 20 are used, but the hardware configuration is not limited to these.

[0039] In the above embodiment, the control unit 21 of the support server 20 executes a prediction process for the surface material (step S17). Alternatively, the reflectance may be predicted from a texture image. In this case, a prediction model generated by machine learning (deep learning) that inputs a texture image and outputs a reflectance is used.

[0040] In the above embodiment, when it is determined that the material information can be acquired ("YES" in step S14), the control unit 21 of the support server 20 executes a process for identifying the material of the exterior wall (step S15). Alternatively, the material and reflectance of the exterior wall of all structures may be identified using a texture image acquired from the map information site 16.

[0041] In the above embodiment, an environmental impact prediction process is executed (step S20). Here, a solar radiation simulation is performed. In addition to this, a heat load simulation may be performed. In this case, the amount of solar radiation, temperature, humidity, etc. are obtained as weather data for the evaluation target area from a weather information site. Furthermore, the thermal conductivity and heat capacity (physical properties) according to the materials of the structure and the ground surface are obtained. The material of the ground surface may be specified using a texture image obtained from the map information site 16.

[0042] Next, the technical ideas that can be understood from the above embodiment and other examples will be described below. The evaluation support device according to any one of claims 1 to 3, characterized in that (a) when the control unit determines that a material type is included in the attribute information of the three-dimensional structure model, the control unit acquires the physical property value using the material type of the attribute information. (b) The evaluation support device according to any one of claims 1 to 3 or (a) above, characterized in that the control unit acquires solar radiation conditions for the evaluation target range. (c) The evaluation support device according to any one of (a) and (b) above, characterized in that the control unit specifies thermal conductivity and heat capacity as the physical property values. [Explanation of symbols]

[0043] A1...evaluation support device, 10...user terminal, 15...city model information site, 16...map information site, 20...support server, 21...control unit, 211...information acquisition unit, 212...prediction unit, 213...analysis unit, 22...material information storage unit.

Claims

1. An evaluation support device that supports evaluation of an effect of sunlight, comprising: a control unit connected to a user terminal, The control unit: Acquire information regarding an evaluation target range from the user terminal; Identifying a structure model included in the evaluation target range; Identifying physical property values ​​based on the material type of the structure model; An evaluation support device characterized by performing an irradiation simulation using the solar radiation conditions according to the solar altitude and the physical properties for a structural model included in the evaluation target range, calculating the amount of impact on the environment, and outputting the calculated amount to the user terminal.

2. The control unit: When the physical property value cannot be identified by the structure model, a photographed image of the evaluation target range is acquired; The evaluation support device according to claim 1 , wherein the physical property value is specified based on a material type predicted from the photographed image.

3. 3. The evaluation support device according to claim 2, wherein the control unit acquires the photographed image from a map information site.

4. 3. The evaluation support device according to claim 1, wherein the control unit specifies a reflectance of sunlight as the physical property value.

5. A method for supporting an evaluation of an effect of sunlight using an evaluation support device including a control unit connected to a user terminal, comprising: The control unit: Acquire information regarding an evaluation target range from the user terminal; Identifying a structure model included in the evaluation target range; Identifying physical property values ​​based on the material type of the structure model; An evaluation support method characterized by performing an irradiation simulation using the solar radiation conditions according to the solar altitude and the physical properties for a structural model included in the evaluation target range, calculating the amount of impact on the environment, and outputting the calculated amount to the user terminal.

6. The control unit: When the physical property value cannot be identified by the structure model, a photographed image of the evaluation target range is acquired; The evaluation support method according to claim 5 , wherein the physical property value is specified based on a material type predicted from the photographed image.

7. A program for supporting an evaluation of an effect of sunlight using an evaluation support device having a control unit connected to a user terminal, The control unit, Acquire information regarding an evaluation target range from the user terminal; Identifying a structure model included in the evaluation target range; Identifying physical property values ​​based on the material type of the structure model; An evaluation support program that performs an irradiation simulation using the solar radiation conditions according to the solar altitude and the physical properties for a structural model included in the evaluation range, calculates the amount of impact on the environment, and functions as a means for outputting the calculated amount to the user terminal.

8. The control unit, When the physical property value cannot be identified by the structure model, a photographed image of the evaluation target range is acquired; 8. The evaluation support program according to claim 7, characterized in that the program functions as a means for specifying the physical property value based on a material type predicted from the photographed image.

Images