Heatstroke risk assessment support device and heatstroke risk assessment support program

Abstract

To obtain a heatstroke risk assessment support device and a heatstroke risk assessment support program that can assess a risk of heatstroke with higher accuracy than conventional technologies.SOLUTION: A heatstroke risk assessment support device 10 comprises: an acquisition unit 11A that acquires site information, including shape information indicating a three-dimensional shape of objects present on the site in an area to be assessed, and reflectance information indicating a reflectance of the objects to sunlight, as well as predicted weather information for the area; a prediction unit 11B that uses the acquired site information and weather information to predict a risk value indicating a level of risk of heatstroke at a predetermined position in the area; and a presentation unit 11C that presents information indicating the predicted risk value.SELECTED DRAWING: Figure 2

Description

[Technical Field]

[0001] The present invention relates to a heatstroke risk assessment support device and a heatstroke risk assessment support program. [Background technology]

[0002] The occurrence of heatstroke is related to factors such as temperature, humidity, wind speed, and solar radiation, and the WBGT (Wet Bulb Globe Temperature, or heat index) is recommended as an indicator of heatstroke risk (hereinafter referred to as "heatstroke risk"). Current estimates and forecast values ​​for the heat index are published on the Ministry of the Environment's heatstroke prevention information website, and action guidelines for the heat index can be referenced, with the observed values ​​being observed at the Japan Meteorological Agency's local weather stations.

[0003] With the emergence of global warming and the urban heat island effect, measures to combat the heat are urgently needed at construction sites, and various heatstroke prevention measures are being implemented, including assessing the risk of heatstroke using WBGT. One of these measures is to inform workers about the risk of heatstroke based on the WBGT values ​​published by the Japan Meteorological Agency and WBGT measurements within construction sites, but this is limited to risk assessments using WBGT at representative points outside or within the site.

[0004] In recent years, it has become possible to assess the risk of heatstroke from the results of sensing individual situations, such as measuring WBGT at individual workplaces using workers' helmets, assessing the risk of heatstroke based on location and physiological information from workers' wearable devices, and analyzing the environment and physical factors using big data.However, it is still not possible to assess the risk of heatstroke until workers are actually working at the workplace.

[0005] The following conventional technologies have been used to address the risk of heatstroke as described above.

[0006] Patent Document 1 discloses a heatstroke risk determination program that aims to comprehensively and highly accurately determine the risk of heatstroke.

[0007] This heatstroke risk discrimination program is characterized by having a computer execute an information input step of acquiring environmental information in the area to be discriminated, and a risk discrimination step of utilizing three or more levels of correlation between the reference environmental information and the heatstroke risk and discriminating the risk of heatstroke based on three or more levels of correlation between the reference environmental information and the heatstroke risk according to the environmental information input in the information input step.

[0008] Patent Document 2 discloses a safety management system that aims to enable reliable and accurate prediction and prevention of accidents.

[0009] This safety management system is characterized by comprising: a storage device that stores safety management data for each worker, including status information and accident information obtained from a worker-side terminal carried by the worker; a data collection means that collects the status information and accident information from the worker-side terminal and obtains environmental information, including weather information, via a wide area network; a worker-specific risk determination means that corrects the heat index (WBGT) for each region included in the weather report obtained by the data collection means using measured values ​​obtained by a temperature and humidity sensor in the worker-side terminal, and generates and displays risk information that indicates the specific heatstroke risk for each worker in the worker's surrounding environment; and a reporting means that predicts the risk to the worker based on preset status determination standard data and risk prediction management data, and issues a report to the worker terminal carried by the worker or the site management terminal carried by the safety manager. [Prior art documents] [Patent documents]

[0010] [Patent Document 1] Japanese Patent Publication No. 2021-039637 [Patent Document 2] Japanese Patent Application Publication No. 2018-180573 Summary of the Invention [Problem to be solved by the invention]

[0011] Incidentally, in order to accurately assess the risk of heatstroke in advance, it is necessary to take into account the influence of objects such as buildings, fences, trees, etc. that exist in the area being assessed.

[0012] However, the technologies disclosed in Patent Documents 1 and 2 do not take into account the influence of objects present in the area being evaluated, and therefore have the problem that they are not necessarily able to accurately evaluate the risk of heatstroke.

[0013] The present disclosure has been made in consideration of the above facts, and aims to provide a heatstroke risk assessment support device and a heatstroke risk assessment support program that can assess the risk of heatstroke with greater accuracy than conventional technologies. [Means for solving the problem]

[0014] The heatstroke risk assessment support device of the present invention described in claim 1 comprises an acquisition unit that acquires site information including shape information indicating the three-dimensional shape of objects present on a site in an area to be evaluated and reflectance information indicating the reflectance of the objects to sunlight, and predicted weather information for the area; a prediction unit that uses the acquired site information and weather information to predict a risk value indicating the level of risk of heatstroke at a predetermined position in the area; and a presentation unit that presents information indicating the predicted risk value.

[0015] According to the heatstroke risk assessment support device of the present invention described in claim 1, site information including shape information indicating the three-dimensional shape of objects present on the site in the area to be assessed and reflectance information indicating the reflectance of the objects to sunlight, as well as predicted weather information for the area, is acquired, and a risk value indicating the level of risk of heatstroke at a predetermined location in the area is predicted using the acquired site information and weather information, and information indicating the predicted risk value is presented, thereby making it possible to assess the risk of heatstroke with greater accuracy than conventional technology.

[0016] The heatstroke risk assessment support device of the present invention described in claim 2 is the heatstroke risk assessment support device described in claim 1, wherein the objects present on the site include a building to be constructed on the site, and the prediction unit predicts the risk value using reflected light from the surface of the building to the predetermined position, obtained using the shape information and the reflectance information, and direct light to the predetermined position, obtained from the weather information.

[0017] According to the heatstroke risk assessment support device of the present invention described in claim 2, the objects present on the site include a building to be constructed on the site, and the prediction unit predicts a risk value using reflected light from the surface of the building to a predetermined position obtained using shape information and reflectance information, and direct light to the predetermined position obtained from weather information, thereby making it possible to reflect the influence of the building in the assessment of the risk of heatstroke.

[0018] The heatstroke risk assessment support device of the present invention described in claim 3 is the heatstroke risk assessment support device described in claim 2, wherein the prediction unit predicts the period for which the risk value is to be predicted to be at least a portion of the construction period of the building.

[0019] According to the heatstroke risk assessment support device of the present invention described in claim 3, by setting the period for which the risk value is predicted to be at least a portion of the construction period of a building, it is possible to assess the risk of heatstroke in advance over at least a portion of the construction period of a building.

[0020] The heatstroke risk assessment support device of the present invention described in claim 4 is a heatstroke risk assessment support device described in claim 3, wherein the prediction unit predicts the risk value using the shape information indicating the shape of the building that is predicted to have been constructed at the time of prediction as the three-dimensional shape of the building.

[0021] According to the heatstroke risk assessment support device of the present invention described in claim 4, the risk can be evaluated according to the progress of construction of a building by predicting a risk value using shape information indicating the shape of the building that is predicted to have been constructed at the time of prediction as the three-dimensional shape of the building.

[0022] The heatstroke risk assessment support device of the present invention described in claim 5 is a heatstroke risk assessment support device described in any one of claims 2 to 4, wherein the prediction unit predicts the risk value for each predetermined divided area that divides an area in the area to be evaluated that includes at least a part of the building, and the presentation unit performs the presentation by displaying the risk value for each divided area predicted by the prediction unit as an image associated with the three-dimensional shape of the corresponding building.

[0023] According to the heatstroke risk assessment support device of the present invention as described in claim 5, a risk value is predicted for each predetermined divided area that divides an area to be assessed that includes at least a portion of a building, and the predicted risk value for each divided area is displayed as an image that corresponds to the three-dimensional shape of the corresponding building, thereby making it possible to more effectively grasp the predicted results of the risk of heatstroke.

[0024] A heatstroke risk assessment support device according to the present invention as set forth in claim 6 is the heatstroke risk assessment support device as set forth in claim 1, wherein the risk value is a WBGT value.

[0025] According to the heatstroke risk assessment support device of the present invention as set forth in claim 6, the risk value is set as a WBGT value, so that the predicted risk of heatstroke can be grasped more realistically.

[0026] The heatstroke risk assessment support program of the present invention described in claim 7 causes a computer to execute the following process: acquire site information including shape information indicating the three-dimensional shape of objects present on a site in an area to be evaluated and reflectance information indicating the reflectance of the objects to sunlight, and predicted weather information for the area; use the acquired site information and weather information to predict a risk value indicating the level of risk of heatstroke at a predetermined location in the area; and present information indicating the predicted risk value.

[0027] According to the heatstroke risk assessment support program of the present invention as described in claim 7, site information including shape information indicating the three-dimensional shape of objects present on the site in the area to be assessed and reflectance information indicating the reflectance of the objects to sunlight, as well as predicted weather information for the area, is acquired, and a risk value indicating the level of risk of heatstroke at a predetermined location in the area is predicted using the acquired site information and weather information, and information indicating the predicted risk value is presented, thereby making it possible to assess the risk of heatstroke with greater accuracy than conventional technology. [Effects of the Invention]

[0028] As described above, according to the present invention, the risk of heat stroke can be evaluated with higher accuracy than conventional techniques. [Brief explanation of the drawings]

[0029] [Figure 1] 1 is a block diagram showing an example of a hardware configuration of a heatstroke risk assessment support system according to an embodiment. [Figure 2] 1 is a block diagram illustrating an example of a functional configuration of a heatstroke risk assessment support device according to an embodiment. [Figure 3] FIG. 2 is a schematic diagram showing an example of the configuration of a site information database according to the embodiment. [Figure 4] FIG. 2 is a schematic diagram showing an example of the configuration of a weather information database according to the embodiment. [Figure 5]10 is a flowchart showing an example of the flow of a heatstroke risk assessment support process according to the embodiment. [Figure 6] FIG. 10 is a diagram showing an example of an evaluation result screen according to the embodiment. [Figure 7] 10A and 10B are side views illustrating the effect of the heatstroke risk assessment support process according to the embodiment. DETAILED DESCRIPTION OF THE INVENTION

[0030] An example of a heatstroke risk assessment support system to which the heatstroke risk assessment support device and heatstroke risk assessment support program according to the present invention are applied will be described in detail below.

[0031] First, the configuration of a heatstroke risk assessment support system 90 according to this embodiment will be described with reference to Fig. 1. Fig. 1 is a block diagram showing an example of the hardware configuration of the heatstroke risk assessment support system 90 according to this embodiment.

[0032] As shown in Fig. 1, a heatstroke risk assessment support system 90 according to this embodiment includes a heatstroke risk assessment support device 10 connected to the Internet 60. The heatstroke risk assessment support system 90 according to this embodiment is a system for predicting a risk value indicating the level of risk of heatstroke, with a site on which a building is to be constructed as the evaluation target.

[0033] The heatstroke risk assessment support device 10 according to this embodiment includes a CPU (Central Processing Unit) 11 as a computer, a memory 12 as a temporary storage area, a non-volatile storage unit 13, an input unit 14 such as a keyboard and mouse, a display unit 15 such as a liquid crystal display, a medium read / write device (R / W) 16, and a communication interface (I / F) unit 18. The CPU 11, memory 12, storage unit 13, input unit 14, display unit 15, medium read / write device 16, and communication interface (I / F) unit 18 are connected to one another via a bus B. The medium read / write device 16 reads information written in a recording medium 17 and writes information to the recording medium 17.

[0034] The storage unit 13 according to this embodiment is realized by an HDD (Hard Disk Drive), an SSD (Solid State Drive), a flash memory, or the like. A heatstroke risk assessment support program 13A is stored in the storage unit 13 as a storage medium. The heatstroke risk assessment support program 13A is stored (installed) in the storage unit 13 by setting a recording medium 17, on which the program 13A is written, in the medium reading and writing device 16, and the medium reading and writing device 16 reading the program 13A from the recording medium 17. The CPU 11 reads the heatstroke risk assessment support program 13A from the storage unit 13 as appropriate, expands it in the memory 12, and sequentially executes the processes of the program 13A.

[0035] Furthermore, a site information database 13B and a weather information database 13C are stored in the storage unit 13. The site information database 13B and the weather information database 13C will be described in detail later.

[0036] FIG. 2 is a functional block diagram showing an example of the functional configuration of the heatstroke risk assessment support device 10 according to this embodiment.

[0037] 2, the heatstroke risk assessment support device 10 according to this embodiment includes an acquisition unit 11A, a prediction unit 11B, and a presentation unit 11C. When the CPU 11 of the heatstroke risk assessment support device 10 executes the heatstroke risk assessment support program 13A, the CPU 11 functions as the acquisition unit 11A, the prediction unit 11B, and the presentation unit 11C.

[0038] The acquisition unit 11A in this embodiment acquires site information including shape information indicating the three-dimensional shape of objects present on a site (hereinafter simply referred to as "site") in an area to be evaluated (hereinafter referred to as "evaluation target area") and reflectance information indicating the reflectance of the objects to sunlight, as well as predicted weather information for the evaluation target area.

[0039] In addition, the prediction unit 11B in this embodiment uses the site information and weather information acquired by the acquisition unit 11A to predict a risk value indicating the level of risk of heatstroke at a predetermined position in the evaluation target area (hereinafter referred to as the ``evaluation target position'').

[0040] The presenting unit 11C according to the present embodiment presents information indicating the risk value predicted by the predicting unit 11B. Note that in the presenting embodiment, the presenting unit 11C presents information by displaying it on the display unit 15, but this is not limiting. For example, the presenting unit 11C may present information by voice using a voice generating device or by printing it on an image forming device.

[0041] Here, in this embodiment, the objects present on the site include a building (hereinafter simply referred to as a "building") to be constructed on the site, and the prediction unit 11B predicts the risk value using reflected light from the surface of the building to the position to be evaluated, obtained using shape information and reflectance information, and direct light to the position to be evaluated, obtained from weather information.

[0042] Furthermore, the prediction unit 11B according to this embodiment sets the period for which the risk value is predicted to be at least a part (in this embodiment, the entire) of the construction period of the building.

[0043] Furthermore, the prediction unit 11B according to this embodiment predicts the risk value using shape information indicating the shape of the building that is predicted to have been constructed at the time of prediction as the three-dimensional shape of the building.

[0044] In addition, the prediction unit 11B in this embodiment predicts a risk value for each predetermined divided area (hereinafter simply referred to as a "divided area") that is divided into an area in the evaluation area that includes at least a part of the building (in this embodiment, an area that includes the entire building), and the presentation unit 11C in this embodiment performs the above presentation by displaying the risk value for each divided area predicted by the prediction unit 11B as an image that corresponds to the three-dimensional shape of the corresponding building.

[0045] In this embodiment, the WBGT value is used as the risk value, but the present invention is not limited to this, and other values ​​that indicate the level of risk of heat stroke may be used as the risk value.

[0046] Next, the site information database 13B according to this embodiment will be described with reference to Fig. 3. Fig. 3 is a schematic diagram showing an example of the configuration of the site information database 13B according to this embodiment. The site information database 13B stores the above-mentioned site information in the evaluation target area.

[0047] As shown in FIG. 3, the site information database 13B according to this embodiment stores information on divisions and site information.

[0048] The above classification is information for classifying information about a site into two types of information: information about the periphery of the site (hereinafter referred to as "site surroundings information") and information about the interior of the site (hereinafter referred to as "site information"). Furthermore, the site information is information that indicates the information about the site itself, such as the shape information and reflectance information, that corresponds to the corresponding classification.

[0049] In the site information database 13B according to this embodiment, the information classified as site surrounding information includes building shape information indicating the shapes of buildings existing around the site (hereinafter referred to as "off-site buildings"), and building exterior shape information indicating the shapes of objects existing around the site other than off-site buildings, such as trees, signs, etc. (hereinafter referred to as "off-site objects"). In addition, in the site information database 13B according to this embodiment, the information classified as site surrounding information includes material-specific optical performance information indicating the optical performance of the materials that make up the off-site buildings and off-site objects, such as reflectance information indicating the reflectance of the materials to sunlight, and transmittance information indicating the transmittance.

[0050] Furthermore, in the site information database 13B according to this embodiment, information classified as site information includes building shape information indicating the shape of a building planned to be built within the site (hereinafter referred to as "site building") and site shape information indicating the shape of the site. Furthermore, in the site information database 13B according to this embodiment, information classified as site information includes building exterior site shape information indicating the shapes of the site building and objects existing within the site other than the site (hereinafter referred to as "site objects"), such as trees and signs, and material-specific optical performance information indicating the optical performance of the material, such as reflectance information indicating the reflectance of the material to sunlight of the material constituting the site building and site object, and transmittance information indicating the transmittance. Note that, in the example shown in FIG. 3, various site information is registered by separating site surrounding information and site information, but this is not limited to this form.

[0051] Here, the building shape information for off-site buildings is obtained via the Internet60 from data provided by Zenrin Co., Ltd. and Plateau, a 3D modeling project for cities across Japan led by the Ministry of Land, Infrastructure, Transport and Tourism, or from publicly available building plan and cross-sectional information and data obtained by surveying. In addition, when 3D shape information is unavailable for trees, signs, etc., on-site surveys are conducted as necessary. Furthermore, the building shape information for on-site buildings is considered to be information that allows the 3D shape of the corresponding building to be reproduced according to the progress of construction.

[0052] Next, the weather information database 13C according to this embodiment will be described with reference to Fig. 4. Fig. 4 is a schematic diagram showing an example of the configuration of the weather information database 13C according to this embodiment. The weather information database 13C stores the above-mentioned weather information related to the evaluation target region.

[0053] As shown in FIG. 4, the weather information database 13C according to this embodiment includes information on dry-bulb temperature, relative humidity, absolute humidity, amount of solar radiation, and correction coefficients.

[0054] These weather information uses the extended AMeDAS weather data provided by Weather Data Systems Co., Ltd., which is obtained via the Internet 60. The data format of this data is called epw (EnergyPlus Weather Data), and it is possible to use actual measurement data collected and created in-house, as well as future forecast weather data. However, the weather information data format is not limited to epw. For example, a general-purpose data format other than epw, or a data format developed independently, may also be used as the weather information data format.

[0055] Here, the correction coefficients in the weather information will be explained.

[0056] The expanded AMeDAS weather data that is mainly used is average weather data and does not reflect unusual phenomena (such as heatwaves or solar radiation that occur once every few years). For this reason, in the heatstroke risk assessment support system 90 according to this embodiment, in order to predict the risk of heatstroke in advance, corrections are made to the temperature by +2°C or the amount of solar radiation by 1.1 times to accommodate such unusual phenomena, and the coefficient for this correction is the correction coefficient.

[0057] In this embodiment, the correction coefficients can be used for the dry-bulb temperature, relative humidity, absolute humidity, solar radiation, and wind speed, but the present invention is not limited to this. For example, the correction coefficients can be used for any one of these pieces of information or for a combination of multiple pieces of information excluding all of them.

[0058] Next, the operation of the heatstroke risk assessment support device 10 according to this embodiment will be described with reference to Figures 5 and 6. Figure 5 is a flowchart showing an example of the flow of the heatstroke risk assessment support process according to this embodiment. The heatstroke risk assessment support process starts when instruction information indicating a predetermined execution instruction is input via the input unit 14. Note that, in order to avoid confusion, the case where the site information database 13B and the weather information database 13C have already been constructed will be described here.

[0059] In step 100 shown in FIG. 5, the CPU 11 reads all information (hereinafter referred to as "site information") from the site information database 13B, and also reads all information (hereinafter referred to as "weather information") from the weather information database 13C.

[0060] In step 102, the CPU 11 corrects the various weather-related values ​​included in the read weather information by applying the corresponding correction coefficients to the weather-related values.

[0061] In step 104, CPU 11 determines a predetermined position (in this embodiment, the center position of the processing target segmented area) in any one of the segmented areas (hereinafter referred to as the "processing target segmented area") as the evaluation target position. CPU 11 also determines any time in a predetermined interval (in this embodiment, every hour) in a predetermined time period (in this embodiment, the time period from 7:00 to 17:00) to be the evaluation target time. CPU 11 also determines any day in a predetermined interval (in this embodiment, every day) in a predetermined period (in this embodiment, the construction period of the building) to be the evaluation target date. CPU 11 then derives the amount of solar radiation at the evaluation target position on the evaluation target date and at the evaluation target time using the site information and the weather information that has undergone the above-mentioned correction.

[0062] In this embodiment, the amount of solar radiation is derived using Rhinoceros (registered trademark), Grasshopper (registered trademark), and Radiance (registered trademark), but the invention is not limited to these. For example, the amount of solar radiation may be derived using other general-purpose software or proprietary software.

[0063] In step 106, the CPU 11 uses the various information obtained by the above processes to derive a risk value (in this embodiment, a WBGT value) for the location to be evaluated, the day to be evaluated, and the time to be evaluated. Note that the method for deriving the WBGT value is well known, so a detailed description thereof will be omitted here.

[0064] In step 108, the CPU 11 stores the derived risk value in the storage unit 13 together with information indicating the corresponding evaluation target location, evaluation target date, and evaluation target time.

[0065] In step 110, CPU 11 determines whether or not the processing of steps 104 to 108 has been completed for all evaluation target positions, and if the determination is negative, the process returns to step 104, whereas if the determination is positive, the process proceeds to step 112. When repeatedly executing the processing of steps 104 to 110, CPU 11 applies positions that have not been evaluated up to that point as evaluation target positions.

[0066] In step 112, CPU 11 determines whether or not the processing of steps 104 to 110 has been completed for all the times to be evaluated, and if the determination is negative, CPU 11 returns to step 104, whereas if the determination is positive, CPU 11 proceeds to step 114. When repeatedly executing the processing of steps 104 to 112, CPU 11 applies times that have not been evaluated up to that point as times to be evaluated.

[0067] In step 114, CPU 11 determines whether the processing of steps 104 to 112 has been completed for all periods to be evaluated. If the determination is negative, the process returns to step 104, whereas if the determination is positive, the process proceeds to step 116. When repeatedly executing the processing of steps 104 to 114, CPU 11 applies days that have not been evaluated up to that point as evaluation dates. Furthermore, at this time, CPU 11 uses shape information indicating the shape of a building that is predicted to have been constructed at the evaluation time on the evaluation date as the three-dimensional shape of the building to be constructed on the site. This makes it possible to reflect the influence of reflected light from the building, which changes from moment to moment depending on the progress of construction on the building, in the risk value.

[0068] In step 116, the CPU 11 reads out the risk value stored in the storage unit 13 by the above process, together with information indicating the location to be evaluated, the date to be evaluated, and the time to be evaluated.

[0069] In step 118, the CPU 11 uses the read information to control the display unit 15 to display an evaluation result screen with a predetermined configuration, and then ends the heatstroke risk evaluation support process.

[0070] FIG. 6 shows an example of an evaluation result screen according to this embodiment. As shown in FIG. 6, the evaluation result screen according to this embodiment displays the distribution of risk values ​​(WBGT values) for each hourly evaluation time and for each sectional area for any one day in the evaluation period as a three-dimensional image, with the distribution colored according to the magnitude of the value. Note that while FIG. 6 shows a gray-shade image for convenience, in reality, the color is closer to red as the risk value increases. Therefore, by referring to the evaluation result screen, the user can intuitively grasp the level of risk of heatstroke around the building on the evaluation date.

[0071] As described above, according to this embodiment, site information including shape information showing the three-dimensional shapes of objects present on the site in the area to be evaluated and reflectance information showing the reflectance of the objects to sunlight, as well as predicted weather information for the area, are acquired, and a risk value indicating the level of risk of heatstroke at a predetermined position in the area is predicted using the acquired site information and weather information, and information showing the predicted risk value is presented. Therefore, the risk of heatstroke can be evaluated with higher accuracy than conventional techniques.

[0072] Furthermore, according to this embodiment, the risk of heatstroke can be grasped for the entire location to be evaluated, so high-risk locations can be identified in advance based on weather information, date and time, and surrounding information. Furthermore, by inputting surrounding information such as buildings planned for construction in the future and measures to create shade, changes in the risk of heatstroke can be predicted.

[0073] 7, the objects present on the site include a building 20 to be constructed on the site, and the risk value is predicted using reflected light 30 from the surface of the building 20 or the like at a predetermined position, which is obtained using shape information and reflectance information, and direct light 32 at the predetermined position, which is obtained from meteorological information. Therefore, the influence of the building can be reflected in the assessment of the risk of heatstroke.

[0074] Furthermore, according to this embodiment, the period for which the risk value is predicted is at least a part of the construction period of the building, so that the risk of heat stroke can be evaluated in advance over at least a part of the construction period of the building.

[0075] Furthermore, according to this embodiment, the risk value is predicted using shape information indicating the shape of the building that is predicted to be completed at the time of prediction as the three-dimensional shape of the building, thereby making it possible to evaluate the risk according to the progress of the construction of the building.

[0076] Furthermore, according to this embodiment, the risk value is predicted for each predetermined partitioned area that is a partitioned area that includes at least a portion of a building in the area to be evaluated, and the predicted risk value for each partitioned area is displayed as an image associated with the three-dimensional shape of the corresponding building, thereby enabling the predicted results of heatstroke risk to be more effectively understood.

[0077] Furthermore, according to this embodiment, the risk value is the WBGT value, which allows the predicted risk of heat stroke to be grasped more realistically.

[0078] In the above embodiment, a case has been described in which risk values ​​are evaluated before the construction of a building during its construction period, but the present invention is not limited to this. For example, risk values ​​may be evaluated during the construction of a building. In this case, if actual measured weather information can be obtained at the time of evaluation, or if near-term weather information can be predicted from the measured weather information, the weather information can be used to predict risk values ​​with higher accuracy.

[0079] In the above embodiment, the case where various pieces of information are acquired via the Internet 60 has been described, but the present invention is not limited to this. For example, at least one piece of information among the various pieces of information may be input by the user via the input unit 14.

[0080] Furthermore, in the above embodiment, the case where the area to be evaluated is an area where a building is to be constructed has been described, but the present invention is not limited to this. For example, the area to be evaluated may be an area where no building is present, such as a park, a sports field, or a square.

[0081] Furthermore, in the above embodiment, for example, the following various processors can be used as the hardware structure of the processing unit that executes each process of the acquisition unit 11A, the prediction unit 11B, and the presentation unit 11C. As described above, the various processors include a CPU, which is a general-purpose processor that executes software (programs) and functions as a processing unit, as well as dedicated electrical circuits that are processors having a circuit configuration specifically designed to execute specific processes, such as a programmable logic device (PLD) that is a processor whose circuit configuration can be changed after manufacture, such as an FPGA (Field-Programmable Gate Array), and an ASIC (Application Specific Integrated Circuit).

[0082] The processing unit may be configured with one of these various processors, or may be configured with a combination of two or more processors of the same or different types (for example, a combination of multiple FPGAs, or a combination of a CPU and an FPGA).The processing unit may also be configured with a single processor.

[0083] Examples of configuring a processing unit with a single processor include, first, a form in which one processor is configured with a combination of one or more CPUs and software, and this processor functions as the processing unit, as typified by computers such as client and server. Second, a form in which a processor is used to realize the functions of the entire system, including the processing unit, on a single IC (Integrated Circuit) chip, as typified by systems on chips (SoCs). In this way, the processing unit is configured using one or more of the above-mentioned various processors as a hardware structure.

[0084] Furthermore, more specifically, the hardware structure of these various processors can be an electric circuit that combines circuit elements such as semiconductor elements. [Explanation of symbols]

[0085] 10. Heatstroke risk assessment support device 11 CPU 11A Acquisition Department 11B Prediction Department 11C Presentation section 12 Memory 13 Storage section 13A Heatstroke Risk Assessment Support Program 13B Site Information Database 13C Weather Information Database 14 Input section 15 Display section 16 Media reading and writing device 17 Recording Media 18 Communication I / F section 20 Buildings 30 Reflected light 32 Direct light 60 Internet 90 Heatstroke Risk Assessment Support System

Claims

1. an acquisition unit that acquires site information including shape information indicating the three-dimensional shape of objects present on a site in an area to be evaluated and reflectance information indicating the reflectance of the objects to sunlight, as well as weather information predicted for the area; a prediction unit that predicts a risk value indicating a level of risk of heat stroke at a predetermined position in the area using the acquired site information and weather information; a presentation unit that presents information indicating the predicted risk value; A heatstroke risk assessment support device equipped with

2. The objects existing on the site include buildings to be constructed on the site. the prediction unit predicts the risk value using reflected light from the surface of the building to the predetermined position, which is obtained using the shape information and the reflectance information, and direct light to the predetermined position, which is obtained from the weather information. The heatstroke risk assessment support device according to claim 1.

3. The prediction unit sets the period for predicting the risk value to at least a part of the construction period of the building. The heatstroke risk assessment support device according to claim 2.

4. the prediction unit predicts the risk value using the shape information indicating the shape of the building that is predicted to have been constructed at the time of prediction as the three-dimensional shape of the building; The heatstroke risk assessment support device according to claim 3.

5. the prediction unit predicts the risk value for each predetermined divided area obtained by dividing an area including at least a part of the building in the area to be evaluated, the presentation unit presents the risk value for each of the divided areas predicted by the prediction unit by displaying the risk value as an image associated with a three-dimensional shape of the corresponding building. The heatstroke risk assessment support device according to any one of claims 2 to 4.

6. The risk value is a WBGT value. The heatstroke risk assessment support device according to claim 1.

7. Obtaining site information including shape information indicating the three-dimensional shape of objects present on the site in the area to be evaluated and reflectance information indicating the reflectance of the objects to sunlight, as well as predicted weather information for the area; predicting a risk value indicating a level of risk of heat stroke at a predetermined position in the area using the acquired site information and weather information; presenting information indicating the predicted risk value; A heatstroke risk assessment support program that runs processing on a computer.

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