Heat index prediction system and heat index prediction program

Abstract

To provide a heat index prediction system for predicting an influence of heat of sunlight.SOLUTION: A heat index prediction system includes a storage part for associating and storing date / time information, place information, and sunlight intensity information, a communication part for performing communication, a first calculation part for calculating sunlight intensity information obtained by associated with sunlight inquiry information included in prediction information inquiry information inputted through the communication part, a second communication part for using a calculation result of the first calculation part to calculate direction identified sunlight intensity information, and a third calculation part for using a calculation result of the second calculation part to calculate heat index prediction information for predicting a heat index to the prediction information inquiry information inputted through the communication part. The communication part transmits the heat index prediction information calculated by the third calculation part to a transmission source of the prediction information inquiry information.SELECTED DRAWING: Figure 1

Description

[Technical Field]

[0001] The present invention relates to a heat index prediction system and a heat index prediction program. [Background technology]

[0002] Recently, the effects of sunlight (e.g., ultraviolet light, visible light, and infrared light) on the human body and living environment have become known, and attention has begun to be paid to the amount of sunlight exposure (e.g., ultraviolet light exposure and solar radiation). For example, in the exposure amount estimation system described in Japanese Patent No. 5524741, location information indicating a location and environmental information indicating the amount of an exposure target, such as ultraviolet light, present at that location are associated and stored in an environmental information storage unit, the exposure amount is estimated based on the environmental information acquired from the environmental information storage unit and an exposure rate determined according to the user's behavior, etc., and the estimated exposure amount is provided to the user. [Prior art documents] [Patent documents]

[0003] [Patent Document 1] Patent No. 5524741 Summary of the Invention [Problem to be solved by the invention]

[0004] Incidentally, the exposure estimation system described in Patent Publication No. 5524741 estimates exposure using environmental information (pollen dispersion amount, ultraviolet radiation amount, aerosol amount) identified by location information stored in an environmental information storage unit. However, there is a problem in that the user receiving the information cannot easily obtain more detailed information using this environmental information identified by location information.

[0005] For example, in the real world, the parts and locations where one wishes to know the energy intensity of ultraviolet radiation, solar radiation, etc. are not necessarily horizontal or perpendicular to the sun's rays, but are various. In order to know the energy intensity of such various parts and locations, it is conceivable to calculate the energy intensity on the actual irradiated surface from the energy intensity on the horizontal or perpendicular to the sun's rays using trigonometric functions, etc. However, because the energy intensity from the real sky that is scattered and reflected by atmospheric components differs depending on the direction, there is a problem in that calculations using trigonometric functions, etc., do not provide sufficient accuracy.

[0006] It is also known that sunlight affects the heat index (WBGT: Wet Bulb Globe Temperature). Therefore, there is a demand for predicting the heat index based on the effect of sunlight on heat, but until now, no system has been provided that can predict the effect of sunlight on the heat index.

[0007] The present invention has been made to solve the above problems, and aims to provide a heat index prediction system that predicts the effect of sunlight on heat. [Means for solving the problem]

[0008] In order to solve the above problem, the present invention provides a heat index prediction system, comprising: a storage unit that stores date and time information, which is information about a date and time; location information, which is information about a location; and sunlight intensity information, which is information about sunlight intensity at the date and time indicated by the date and time information and the location indicated by the location information, in association with each other; a communication unit that performs communication; a first calculation unit that calculates the sunlight intensity information associated with sunlight inquiry information included in prediction information inquiry information input via the communication unit; a second calculation unit that calculates direction specific sunlight intensity information using a calculation result of the first calculation unit; and a third calculation unit that calculates heat index prediction information that predicts a heat index for the prediction information inquiry information input via the communication unit, using a calculation result of the second calculation unit, wherein the sunlight inquiry information includes the date and time information, the location information, and direction information indicating a direction in which an irradiation surface that is irradiated with sunlight faces, and the direction specific sunlight intensity information is information about a sunlight intensity at the date and time indicated by the date and time information and the location indicated by the location information, which is information about a sunlight intensity indicated by the direction information. the information including the intensity of sunlight received by an irradiated surface, and the communication unit transmits the calculation result of the third calculation unit to a sender of the forecast information inquiry information, and the third calculation unit includes: a fourth calculation unit that calculates a dry-bulb temperature for the forecast information inquiry information input via the communication unit; a fifth calculation unit that calculates a humidity for the forecast information inquiry information input via the communication unit; a sixth calculation unit that calculates a wet-bulb temperature for the forecast information inquiry information input via the communication unit; a seventh calculation unit that calculates a black-bulb temperature for the forecast information inquiry information input via the communication unit using the calculation result of the second calculation unit; and an eighth calculation unit that calculates a heat index for the forecast information inquiry information input via the communication unit using the calculation results of the fourth calculation unit, the fifth calculation unit, the sixth calculation unit, and the seventh calculation unit, and the communication unit transmits the calculation result of at least one of the fourth calculation unit, the fifth calculation unit, the sixth calculation unit, the seventh calculation unit, and the eighth calculation unit to a sender of the forecast information inquiry information, and the seventh calculation unit Reflective ground The black globe temperature is calculated using the spectral reflectance of the light. [Effects of the Invention]

[0009] According to the present invention, a heat index prediction system for predicting the effect of sunlight on heat can be provided. [Brief explanation of the drawings]

[0010] [Figure 1] 1 is a block diagram showing a configuration of a heat index prediction system according to a first embodiment of the present invention. [Figure 2] FIG. 2 is a diagram illustrating the irradiation direction of sunlight. [Figure 3] 1 is a diagram illustrating sunlight irradiating an irradiation surface A that is a surface parallel to the ground. [Figure 4] 10 is a diagram illustrating sunlight irradiating an irradiation surface B, which is a surface that forms an angle of 30° with the ground. [Figure 5] 10 is a diagram illustrating sunlight irradiating an irradiation surface C that is a surface that forms an angle of 90° with the ground. [Figure 6] 10 is a diagram illustrating sunlight reflected by irradiation surface E and irradiated onto irradiation surface D. FIG. [Figure 7] 7A and 7B are diagrams illustrating an example of how to determine the spectral reflectance of another irradiated surface, in which FIG. 7A shows how sunlight directly received by irradiated surface E is measured, and FIG. 7B shows how reflected light from irradiated surface E is measured. [Figure 8] 10A and 10B are diagrams illustrating light reflected from other irradiation surfaces that enters the irradiation surface. [Figure 9] 2 is a diagram showing an example of information stored in a storage unit 13 shown in FIG. 1. FIG. [Figure 10] 2 is a flowchart showing the operation of the heat index prediction system 10 shown in FIG. [Figure 11] FIG. 10 is a block diagram showing the configuration of a heat index prediction system according to a second embodiment of the present invention. [Figure 12] 12 is a flowchart showing the operation of the heat index prediction system 100 shown in FIG. 11. [Figure 13] 1 is a graph showing spectral irradiance. [Figure 14]FIG. 10 is a diagram showing the conditions for calculating the temperature rise of an irradiated material. [Figure 15] FIG. 10 is a diagram showing an example of a trial calculation of the temperature rise after one hour depending on the material. [Figure 16] Figure 16(a) is a graph showing an example of spectral illumination intensity from each direction on a sidewalk, and Figure 16(b) is a graph showing an example of spectral reflectance on a sidewalk. [Figure 17] Fig. 17(a) is a graph showing an example of spectral irradiance from each direction on a grassland, and Fig. 17(b) is a graph showing an example of spectral reflectance on a grassland. [Figure 18] Figure 18(a) is a graph showing an example of spectral irradiation intensity from each direction on asphalt, and Figure 18(b) is a graph showing an example of spectral reflectance on asphalt. [Figure 19] FIG. 1 is a diagram showing a mathematical formula for the relationship between sunlight and black globe temperature. [Figure 20] FIG. 10 is a diagram showing the amount of heat received by the surface of an object. [Figure 21] This is a table showing the relationship between the heat index value and the alert level. [Figure 22] FIG. 1 is a diagram showing conditions in an example of prediction by the heat index prediction system of the present invention. [Figure 23] 23 is a graph showing sunshine information calculated by a second calculation unit of the heat index prediction system under the conditions of FIG. 22. [Figure 24] 10 is a graph showing differences in spectral reflectance depending on the type of ground. [Figure 25] 1 is a graph showing heat index prediction information obtained by the heat index prediction system of the present invention when the location is Sapporo Station and the ground is grass. [Figure 26] 1 is a graph showing heat index prediction information obtained by the heat index prediction system of the present invention when the location is Tokyo Station and the ground is grass. [Figure 27] 1 is a graph showing heat index prediction information obtained by the heat index prediction system of the present invention when the location is the Okinawa Prefectural Government Office and the ground is grass. [Figure 28]10 is a graph showing heat index prediction information obtained by the heat index prediction system of the present invention when the location is Sapporo Station and the ground is soil. [Figure 29] 10 is a graph showing heat index prediction information obtained by the heat index prediction system of the present invention when the location is Tokyo Station and the ground is soil. [Figure 30] 1 is a graph showing heat index prediction information obtained by the heat index prediction system of the present invention when the location is the Okinawa Prefectural Government Office and the ground is soil. [Figure 31] 1 is a graph showing heat index prediction information obtained by the heat index prediction system of the present invention when the location is Sapporo Station and the ground is concrete. [Figure 32] 1 is a graph showing heat index prediction information obtained by the heat index prediction system of the present invention when the location is Tokyo Station and the ground is concrete. [Figure 33] 1 is a graph showing heat index prediction information obtained by the heat index prediction system of the present invention when the location is the Okinawa Prefectural Government Office and the ground is concrete. [Figure 34] 34 is a graph showing the heat index on the lawn based on the heat index prediction information of FIGS. 25 to 33. [Figure 35] 34 is a graph showing the heat index of soil based on the heat index prediction information of FIGS. 25 to 33. [Figure 36] 34 is a graph showing the heat index on concrete based on the heat index prediction information of FIGS. 25 to 33. DETAILED DESCRIPTION OF THE INVENTION

[0011] The heat index prediction system according to the present invention will be described in detail below with reference to the drawings. The following embodiments are preferred examples of the system according to the present invention, and may include various limitations based on typical hardware and software configurations. However, the technical scope of the present invention is not limited to these aspects unless otherwise specified. Furthermore, the components in the following embodiments can be appropriately replaced with existing components, and various variations, including combinations with other existing components, are possible. Therefore, the description of the following embodiments does not limit the content of the invention described in the claims.

[0012] In the following examples, the present invention is applied to a heat index prediction system to provide a user with information about sunlight, such as the amount of solar radiation. However, the present invention may also provide a user with individual information about ultraviolet rays, infrared rays, visible light, or other electromagnetic waves contained in sunlight. In the following examples, the intensity of sunlight is also referred to as solar radiation intensity. [Example]

[0013] 1 is a block diagram showing the configuration of a heat index prediction system according to a first embodiment of the present invention. A heat index prediction system 10 of this embodiment is, for example, a server machine made up of a computer.

[0014] As shown in FIG. 1 , the heat index prediction system 10 includes a storage unit 13 that stores sunlight intensity information 16 (described in detail below) and various other information; a communication unit 17 that performs communication; a first calculation unit 11 that calculates sunlight intensity information 16 associated with sunlight inquiry information included in forecast information inquiry information received via the communication unit 17; a second calculation unit 12 that calculates direction-specific sunlight intensity information using the calculation result of the first calculation unit 11; and a third calculation unit 21 that calculates heat index prediction information that predicts a heat index for the forecast information inquiry information input via the communication unit 17 using the calculation result of the second calculation unit 12. The communication unit 17 communicates with, for example, an external device. The forecast information inquiry information includes sunlight inquiry information. The sunlight inquiry information includes date and time information 14, location information 15, and direction information 16a that indicates the direction of sunlight irradiation, i.e., the direction of an irradiated surface receiving solar radiation. The direction-specific sunlight intensity information is the intensity of sunlight received by the irradiated surface indicated by direction information 16a at the date and time indicated by date and time information 14 and the location indicated by location information 15, and the communication unit 17 transmits the calculation result of the third calculation unit 21 to the sender of the prediction information inquiry information. Each component shown in FIG. 1 may be configured as hardware. Furthermore, each component shown in FIG. 1 may be realized by the heat index prediction system 10 executing a program, and the memory unit 13 may store the program executed by the heat index prediction system 10. The memory unit 13 has a volatile storage device or a non-volatile storage device depending on the use of the data.

[0015] The communication unit 17 may be configured to transmit direction-specific sunlight intensity information indicating the direction-specific sunlight intensity calculated by the second calculation unit 12 to the sender of the forecast information inquiry information.

[0016] In the heat index prediction system 10, the communication unit 17 may be configured to transmit the sunlight intensity information calculated by the first calculation unit 11 to the sender of the forecast information inquiry information. In this case, the client machine 2 or 3 may have a configuration corresponding to the function of the second calculation unit 12. That is, the present invention is a heat index prediction system in which a server machine and a client machine are connected via a network, and the server machine includes a storage unit 13 that stores date and time information 14, which is information about a date and time, location information 15, which is information about a location, and sunlight intensity information 16, which is information about the date and time indicated by the date and time information and the sunlight intensity at the location indicated by the location information, in association with each other; a first communication unit that communicates with the client machine; and a first calculation unit 11 that calculates the sunlight intensity information 16 associated with the sunlight inquiry information included in the forecast information inquiry information input via the first communication unit, The first communication unit transmits sunlight intensity information 16 calculated by the first calculation unit 11 to the client machine. The client machine includes a second communication unit that communicates with the server machine 1 and a second calculation unit (corresponding to the function of the second calculation unit 12) that calculates direction-specific sunlight intensity information using the sunlight intensity information 16 input via the second communication unit. The second communication unit (corresponding to the function of the second calculation unit 12) transmits sunlight inquiry information to the server machine. The sunlight inquiry information may include date and time information 14, the location information, and direction information 16a indicating the direction in which the irradiated surface facing the sunlight is facing. Note that the client machine and the server machine may be located in the same terminal device without a network. In this case, the client machine and the server machine may be the same device, or may be connected via a bus, for example. When the client machine and the server machine are the same device, connecting the client machine and the server machine may refer to data exchange between a program that realizes the functions of the client machine and a program that realizes the functions of the server machine via a memory or the like.

[0017] The memory unit 13 stores date and time information 14, which is information about the date and time, location information 15, which is information about the location, and sunlight intensity information 16, which is information about the sunlight intensity at the date and time indicated by the date and time information 14 and the location indicated by the location information 15, in association with each other.

[0018] The communication unit 17 of the heat index prediction system 10 is connected to a network 4 such as the Internet. Client machines 2 and 3 used by users are connected to the network 4, and the client machines 2 and 3 communicate with the heat index prediction system 10 via the network 4.

[0019] Forecast information inquiry information is transmitted from the client machine 2 or the client machine 3 to the heat index prediction system 10 via the network 4. The forecast information inquiry information includes sunlight inquiry information. The sunlight inquiry information includes date and time information 14, location information 15, and direction information 16a indicating the direction in which the irradiated surface receiving sunlight faces. The direction indicated by the direction information 16a is a direction perpendicular to the plane in which the irradiated surface receiving sunlight extends. The direction information 16a will be described later with reference to Figures 2 to 5. The calculation result by the first calculation unit 11 is transmitted from the heat index prediction system 10 to the client machine 2 or the client machine 3, which is the sender of the forecast information inquiry information, via the network 4.

[0020] The first calculation unit 11 calculates sunlight ray intensity information 16, which will be described in detail later, using the date and time information and location information included in the sunlight ray inquiry information. The second calculation unit 12 calculates direction-specific sunlight ray intensity information, which is information including the intensity of sunlight received by the irradiated surface indicated by the direction information 16a, using the calculation result by the first calculation unit 11. The communication unit 17 transmits the direction-specific sunlight ray intensity information, which indicates the direction-specific sunlight ray intensity calculated by the second calculation unit 12, via the network 4 to the client machine 2 or the client machine 3, which is the sender of the forecast information inquiry information.

[0021] The direction information 16a will be described below. Fig. 2 is a diagram illustrating the irradiation direction of sunlight. Fig. 3 is a diagram illustrating sunlight irradiating illumination surface A, which is a surface parallel to the ground. Fig. 4 is a diagram illustrating sunlight irradiating illumination surface B, which is a surface that forms an angle of 30° with the ground. Fig. 5 is a diagram illustrating sunlight irradiating illumination surface C, which is a surface that forms an angle of 90° with the ground. In Figs. 3, 4, and 5, the direction in which the illumination surface that is irradiated with sunlight faces, i.e., the direction indicated by the direction information 16a, is referred to as the "direction of the illumination surface."

[0022] As shown in Figure 2, the sunlight irradiating the Earth consists of direct solar radiation irradiated from the direction of the sun, as well as diffuse solar radiation irradiated from directions other than the direction of the sun. Diffuse solar radiation is irradiated onto the irradiated surface from the entire sky. Irradiated surface A, which is a surface parallel to the ground, is irradiated with both diffuse solar radiation and direct solar radiation from the entire sky, as shown in Figure 3.

[0023] Furthermore, for irradiated surface B, which forms an angle of 30° with the ground, diffuse solar radiation and direct solar radiation are irradiated from the direction of the sky toward which irradiated surface B faces, as shown in Figure 4. For irradiated surface C, which forms an angle of 90° with the ground, the sun is facing the backside of irradiated surface C, so direct solar radiation is not irradiated, but diffuse solar radiation is irradiated from the direction of the sky toward which irradiated surface C faces, as shown in Figure 5. In addition to the diffuse solar radiation and direct solar radiation that directly irradiates the irradiated surface, sunlight that is reflected by the ground and then irradiates the irradiated surface.

[0024] 3, 4, and 5, the intensity of the irradiated sunlight varies greatly depending on the direction the irradiated surface faces. Therefore, in this embodiment, different direction-specific sunlight intensity information is calculated for each direction the irradiated surface faces, and this information is provided to client machine 2 or client machine 3, which is the sender of the forecast information inquiry information.

[0025] In this embodiment, in addition to diffuse solar radiation and direct solar radiation, sunlight reflected by other irradiation surfaces such as the ground or a wall surface and then irradiated onto the irradiation surface can also be taken into consideration. This point will be explained with reference to Fig. 6. Fig. 6 is a diagram explaining sunlight reflected by irradiation surface E and then irradiated onto irradiation surface D.

[0026] In an actual environment, the amount of sunlight received by the irradiated surface D includes not only the sunlight (direct sunlight and diffuse sunlight) directly received by the irradiated surface D, but also sunlight (reflected sunlight) that is sunlight (direct sunlight and diffuse sunlight) reflected by other irradiated surfaces (irradiated surface E) such as the ground or a wall surface. In this embodiment, by including the intensity of the reflected sunlight reflected by these other irradiated surfaces in the intensity of the sunlight received by the irradiated surface, the accuracy of determining the intensity of the sunlight received by the irradiated surface can be further improved.

[0027] Normally, the reflectance of the other irradiated surface is used to calculate the reflected light from the other irradiated surface. The reflectance of a material surface is generally calculated using the reflectance at a specific representative wavelength, but in order to calculate the energy intensity accurately, it is desirable to use the spectral reflectance. Here, how to calculate the spectral reflectance of the other irradiated surface will be explained with reference to Figure 7.

[0028] FIG. 7 is a diagram illustrating an example of how to determine the spectral reflectance of another irradiated surface, where FIG. 7(a) illustrates measuring sunlight directly incident on irradiated surface E, and FIG. 7(b) illustrates measuring reflected light from irradiated surface E. As shown in FIGS. 7(a) and 7(b), a measuring instrument 50 is used here. The measuring instrument 50 functions as a spectrophotometer. First, as shown in FIG. 7(a), the measuring instrument 50 is used to measure the spectral irradiance from above irradiated surface E, which is the other irradiated surface (the spectral irradiance of sunlight irradiating irradiated surface E). The measuring instrument 50 is also used to measure the spectral irradiance reflected by irradiated surface E (the spectral irradiance of light reflected from irradiated surface E). The spectral reflectance of irradiated surface E is calculated using Equation 1 using the calculated spectral irradiance from above irradiated surface E and the spectral irradiance reflected by irradiated surface E.

number

[0029] Next, calculation of the irradiation energy received by the irradiation surface using the spectral reflectance obtained by Equation 1 will be described. Fig. 8 is a diagram explaining the light that enters the irradiation surface out of the light reflected from another irradiation surface. Fig. 8 shows a case where irradiation surface G, which is the other irradiation surface, is the ground, and takes into consideration the proportion of the light reflected from irradiation surface G that enters irradiation surface F. The energy of light that enters irradiation surface F from irradiation surface G (ground) can be calculated by Equation 2.

number

[0030] The irradiation energy received by the irradiated surface G in Equation 2 can be obtained, for example, by the method shown in FIG. 7(a). As the reflectance in Equation 2, for example, the spectral reflectance calculated by Equation 1 can be used. The area ratio H in Equation 2 can be calculated as described below with reference to FIG. 8. In FIG. 8, the field of view area of ​​the ground (irradiated surface G) at the irradiated surface F is determined by the angle θ corresponding to the orientation of the irradiated surface F. The angle θ that determines the field of view area of ​​the irradiated surface G, which is the ground, is geometrically the angle between the irradiated surface F and the horizontal direction if the irradiated surface G is an ideal ground surface (horizontal). However, in practice, it is preferable to take into account changes in topography and the fact that the more distant the position on the irradiated surface G from the irradiated surface F, the less reflected light enters the irradiated surface F and the attenuated contribution, and therefore it is preferable to determine the angle θ according to the required accuracy.

[0031] The ratio of the field of view area of ​​the ground on the irradiated surface F to the hemispherical area of ​​the irradiated surface F is the area ratio H. In this embodiment, when calculating the irradiation energy received by the irradiated surface F, it is possible to calculate with higher accuracy by adding the energy of light incident on the irradiated surface F calculated by Equation 2 to the irradiation energy due to diffuse solar radiation and direct solar radiation that directly irradiates the irradiated surface F. Furthermore, although Equation 2 takes the ground into account as another irradiated surface, it is possible to calculate with higher accuracy the irradiation energy received by the irradiated surface F by taking into account not only the light reflected by the ground but also all other irradiated surfaces onto which reflected light may enter the irradiated surface F.

[0032] FIG. 9 is a diagram showing an example of information stored in the storage unit 13 shown in FIG. 1. The storage unit 13 stores the information shown in FIG. 9 in, for example, a database format. The storage unit 13 stores date and time information 14 as a first primary key. The date and time information 14 may include the year, month, day, and time. The storage unit 13 stores location information 15 as a second primary key. The location information 15 is information that identifies a location on the earth using, for example, east longitude and north latitude.

[0033] The storage unit 13 stores the solar solid angle for the first primary key and the second primary key as the stored value of the sunlight intensity information 16. The storage unit 13 stores the direct sunlight intensity for the first primary key and the second primary key as the stored value of the sunlight intensity information 16. The storage unit 13 stores the scattered sunlight intensity for the first primary key and the second primary key as the stored value of the sunlight intensity information 16. The storage unit 13 stores the albedo value for the first primary key and the second primary key as the stored value of the sunlight intensity information 16. The albedo value is the ratio of the reflected sunlight intensity to the irradiated sunlight intensity. For example, in a certain area where the location information 15 is located, when the date and time information 14 indicates summer, the ground is soil and the albedo value is low, and when the date and time information 14 indicates winter, the ground is snowy and the albedo value is high. The values ​​shown in FIG. 9 are, for example, collected measured values ​​and stored in the storage unit 13. The direction information 16a included in the sunlight ray intensity information 16 is included in the stored values ​​shown in Fig. 9. The information included in the sunlight ray intensity information 16 includes, for example, a value calculated by solving the radiative transfer equation, or a value calculated in the process of solving the radiative transfer equation.

[0034] Fig. 10 is a flowchart showing the operation of the heat index prediction system 10 shown in Fig. 1. In step S71, it is determined whether or not prediction information inquiry information has been received from the client machine 2 or the client machine 3 via the network 4. If prediction information inquiry information has been received (step S71: Yes), the process proceeds to step S72, and if prediction information inquiry information has not been received (step S71: No), the process returns to step S71.

[0035] In step S72, based on the sunlight inquiry information included in the forecast information inquiry information received in step S71, sunlight intensity information 16 is calculated, which is information including the intensity of sunlight received at the location indicated by location information 15 included in the sunlight inquiry information on the date and time indicated by date and time information 14 included in the sunlight inquiry information, and stored in the memory unit 13. The sunlight intensity information 16 is calculated using, for example, a radiative transfer equation.

[0036] In step S73, a mathematical calculation is performed on the sunlight intensity information 16 calculated in step S72 using the direction information 16 as an input value to calculate direction-specific sunlight intensity information, which is sunlight intensity information received by the irradiated surface indicated by the direction information 16a at the date and time indicated by the date and time information 14, at the location indicated by the location information 15 included in the sunlight inquiry information.

[0037] In step S74, heat index prediction information is calculated to predict a heat index corresponding to the prediction information inquiry information received in step S71 using the direction-specific sunlight intensity information calculated in step S73. The heat index prediction information includes, for example, information on at least one of the heat index and black globe temperature corresponding to the prediction information inquiry information. The heat index prediction information may also include information on at least one of the dry bulb temperature, humidity, wet bulb temperature, black globe temperature, and heat index. Details of the calculation of the heat index prediction information will be described later.

[0038] In step S75, the heat index prediction information calculated in step S74 is sent via network 4 to client machine 2 or client machine 3, which is the sender of the current prediction information inquiry information. Client machine 2 or client machine 3 can obtain heat index prediction information and easily obtain a more detailed heat index simply by sending prediction information inquiry information including sunlight inquiry information including date / time information 14, location information 15, and direction information 16a to heat index prediction system 10. Client machine 2 or client machine 3 can provide various applications to end users using the heat index prediction information obtained from heat index prediction system 10. [Example]

[0039] 11 is a block diagram showing the configuration of a heat index prediction system according to a second embodiment of the present invention. The heat index prediction system 100 of this embodiment is, for example, a server machine made up of a computer.

[0040] 11 , the heat index prediction system 100 includes a first calculation unit 110 that calculates sunlight intensity information 116 (described later in detail) in advance using date and time information and location information; a storage unit 113 that stores the sunlight intensity information 116 calculated by the first calculation unit 110 and various other information; a communication unit 117 that performs communication; an extraction unit 111 that extracts, from the storage unit 113, sunlight intensity information 116 associated with sunlight inquiry information included in prediction information inquiry information input via the communication unit 117; a second calculation unit 112 that calculates direction-specific sunlight intensity information using the sunlight intensity information 116 extracted by the extraction unit 111; and a third calculation unit 121 that calculates heat index prediction information that predicts a heat index for the prediction information inquiry information input via the communication unit 117 using the calculation result of the second calculation unit 112. The communication unit 117 communicates with, for example, an external device. The prediction information inquiry information includes the sunlight inquiry information. The sunlight inquiry information includes date and time information 114, location information 115, and direction information 116a. The direction-specific sunlight intensity information is information including the intensity of sunlight received by the irradiated surface indicated by the direction information 116a at the date and time indicated by the date and time information 114 and the location indicated by the location information 115. The communication unit 117 transmits the calculation result of the third calculation unit 121 to the sender of the prediction information inquiry information. Each component shown in FIG. 11 may be configured as hardware. Furthermore, each component shown in FIG. 11 can also be realized by the heat index prediction system 100 executing a program, and the memory unit 113 may store the program executed by the heat index prediction system 100. The memory unit 113 has a volatile storage device or a non-volatile storage device depending on the use of the data.

[0041] The communication unit 117 may be configured to transmit direction-specific sunlight intensity information indicating the direction-specific sunlight intensity calculated by the second calculation unit 112 to the sender of the forecast information inquiry information.

[0042] In the heat index prediction system 100, the communication unit 117 may be configured to transmit the sunlight intensity information extracted by the extraction unit 111 to the sender of the forecast information inquiry information. In this case, the client machine 2 or 3 may have a configuration corresponding to the function of the second calculation unit 112. That is, the present invention is a heat index prediction system in which a server machine and a client machine are connected via a network, and the server machine includes a first calculation unit 110 that calculates sunlight intensity information 116, which is information on sunlight intensity at a date and time indicated by date and time information 114, which is information on the date and time, and a location indicated by location information 115, which is information on the location; a storage unit 113 that stores the date and time information 114, the location information 115, and the sunlight intensity information 116 calculated by the first calculation unit 110 in association with each other; a first communication unit that communicates with the client machine; and a sunlight intensity information associated with the sunlight inquiry information included in the forecast information inquiry information input via the first communication unit. The server machine may be configured to include an extraction unit 111 that extracts light ray intensity information 116 from a memory unit 113, a first communication unit that transmits the sunlight ray intensity information 116 extracted by the extraction unit 111 to the client machine, and the client machine may be configured to include a second communication unit that communicates with the server machine and a second calculation unit (a configuration corresponding to the function of the second calculation unit 112) that calculates direction-specific sunlight ray intensity information using the sunlight ray intensity information 116 input via the second communication unit, and the second communication unit transmits sunlight ray inquiry information to the server machine, and the sunlight ray inquiry information includes date and time information 114, location information 115, and direction information 116a that indicates the direction in which the irradiated surface that is irradiated by sunlight faces.

[0043] The memory unit 113 stores date and time information 114, which is information about date and time, location information 115, which is information about location, and sunlight intensity information 116, which is information about sunlight intensity at the date and time indicated by the date and time information 114 and the location indicated by the location information 115 (sunlight intensity information 116 calculated by the first calculation unit 110), in association with each other.

[0044] The communication unit 117 of the heat index prediction system 100 is connected to a network 4 such as the Internet. Client machines 2 and 3 used by users are connected to the network 4, and the client machines 2 and 3 communicate with the heat index prediction system 100 via the network 4.

[0045] Forecast information inquiry information is transmitted from client machine 2 or client machine 3 to heat index prediction system 100 via network 4. The sunlight inquiry information includes date and time information 114, location information 115, and direction information 116a. Direction-specific sunlight intensity information, which is the extraction result by extraction unit 112, is transmitted from heat index prediction system 100 via network 4 to client machine 2 or client machine 3, which is the sender of the forecast information inquiry information.

[0046] In this embodiment, an example of information stored in the storage unit 113 is the information shown in FIG.

[0047] FIG. 12 is a flowchart showing the operation of the heat index prediction system 100 shown in FIG. 11. In step S91, information contained in the sunlight intensity information 116 for all locations at all dates and times is calculated using date and time information and location information. The information contained in the sunlight intensity information 116 is calculated using, for example, a radiative transfer equation. That is, the information contained in the sunlight intensity information 116 includes, for example, values ​​calculated by solving the radiative transfer equation and values ​​calculated in the process of solving the radiative transfer equation. In step S92, the information contained in the sunlight intensity information 116 calculated in step S91 is stored in the storage unit 113.

[0048] Next, if forecast information inquiry information is received from client machine 2 or client machine 3 via network 4 (step S93: Yes), proceed to step S94; if forecast information inquiry information is not received (step S93: No), return to step S93. The forecast information inquiry information includes sunlight inquiry information. Note that the calculation of the information included in sunlight intensity information 116 and the storage of the calculated information in memory unit 13 may be completed before the process of receiving sunlight inquiry information from client machine 2 or 3 is performed, or the calculated information may be updated whenever new data becomes available, for example, for an area that was previously unavailable.

[0049] In step S94, sunlight intensity information 116 is extracted from storage unit 113 based on sunlight inquiry information included in the data received from client machine 2 or client machine 3. That is, sunlight intensity information 116 corresponding to date and time information 114 and location information 115 included in the sunlight inquiry information is extracted from storage unit 113. In step S94, a mathematical calculation is further performed on the extracted sunlight intensity information 116 using direction information 116a as an input value to calculate direction-specific sunlight intensity information, which is information including the intensity of sunlight received by the irradiated surface indicated by direction information 116a at the date and time indicated by date and time information 114 and at the location indicated by location information 15 included in the sunlight inquiry information.

[0050] In step S95, heat index prediction information is calculated using the direction-specific sunlight intensity information calculated in step S94 to predict a heat index corresponding to the prediction information inquiry information received in step S93. The heat index prediction information includes, for example, information on at least one of the heat index and black globe temperature corresponding to the prediction information inquiry information. The calculation of the heat index prediction information will be described in detail later.

[0051] In step S96, the heat index prediction information calculated in step S95 is sent via network 4 to client machine 2 or client machine 3, which is the sender of the current prediction information inquiry information. Client machine 2 or client machine 3 can obtain heat index prediction information and easily obtain more detailed heat index prediction information simply by sending prediction information inquiry information including sunlight inquiry information including date / time information 14, location information 15, and direction information 16a to heat index prediction system 100. Client machine 2 or client machine 3 can provide various applications to end users using the heat index prediction information obtained from heat index prediction system 100.

[0052] Furthermore, in this embodiment, the sunlight intensity information 116 is calculated in advance, so that the response is faster and direction-specific sunlight intensity information can be provided with greater immediacy than when the sunlight inquiry information is received from the client machine 2 or the client machine 3 and then the information is calculated. [Example]

[0053] <Calculation of irradiated heat amount> In this embodiment, the heat index prediction system 10 in the configuration shown in FIG. 1 can calculate the amount of irradiated heat. FIG. 13 is a graph showing spectral irradiance. In FIG. 13, the horizontal axis represents the wavelength of light, and the vertical axis represents the spectral irradiance. FIG. 13 shows the results of calculating the amount of heat irradiated to the irradiated surface after calculating the energy intensity of the sky relative to the irradiated surface through a simulation based on the above-described first embodiment. FIG. 13 also shows an example of calculation of the amount of heat received by an irradiated surface located on Miyakojima Island from 12:00 to 13:00 on June 20, 2016. According to this embodiment, the integrated value of the energy irradiated to the irradiated surface is determined to be 1,029.8 [W / m2], and the amount of heat received by the irradiated surface is determined to be 3,707,358 [J / m2]. This embodiment makes it possible to predict the amount of heat radiation received by high-rise structures and forests, which have been difficult to measure, and can be used in the protection design of structures and forest plantation plans. [Example]

[0054] <Calculation of the amount of radiation irradiated onto a structure> In this embodiment, in the configuration shown in FIG. 1, the heat index prediction system 10 can predict the temperature rise according to the irradiated material (the material of the irradiated material having the irradiated surface) from the amount of heat received by the irradiated surface, which is the result obtained in Example 3. In this embodiment, the prediction of the temperature rise of this irradiated surface will be explained. FIG. 14 is a diagram showing the calculation conditions for the temperature rise of the irradiated material. As shown in FIG. 14, in this embodiment, it is assumed that sunlight is incident on the irradiated surface J2 of the irradiated material J1, and the reflectance of the irradiated surface J2 is 30%. It is also assumed that the thermal radiation from the irradiated material J1 is zero. It is also assumed that the heat transfer and heat conduction from the irradiated material J1 are zero.

[0055] FIG. 15 shows an example of a calculation of the temperature rise after one hour depending on the material. When sunlight with a heat quantity of 3,707,358 [J / m2] is incident on irradiation material J1, whose irradiation surface J2 has a reflectance of 30%, the reflected heat quantity at irradiation surface J2 is 1,112,207 [J / m2], and the heat quantity absorbed by irradiation material J1 is 2,595,151 [J / m2]. Considering the thermal characteristics of each material shown in FIG. 15, the temperature rise after one hour for each material can be calculated as shown in FIG. 15. For example, if irradiation material J1 is made of steel, its heat capacity is 18,864 [J / K], so the heat quantity received in one hour is 2,595.151 [J / m2] × 1 [m2] / 18,864 [J / K] = 137.6 [K]. Therefore, the temperature of the steel, initially at 20°C, rises to 20°C + 137.6°C = 157.6°C after one hour. Similarly, the temperature of the glass wool insulation plate, initially at 20°C, rises to 20°C + 25745.5°C = 25765.5°C. Note that the shape of the material model of the irradiated material J1 is 1m x 1m x 5mm thick. This calculation assumes that there is no heat radiation (thermal radiation, thermal conduction, heat transfer, etc.) from the irradiated material J1. In reality, the temperature would not rise this much because of heat radiation from the irradiated material J1. Heat radiation can be taken into account in the calculation as needed. This calculation makes it possible to predict temperature rises on irradiated surfaces, such as structures and land, that are difficult to measure because of their high elevations or because people cannot approach them. This example can be used to predict structural deterioration and for forest plantation planning. [Example]

[0056] <Inclusion of reflections from other illuminated surfaces (example of a sidewalk)> In this embodiment, in the configuration shown in FIG. 1, the heat index prediction system 10 calculates the reflected energy based on the reflectance of the sidewalk and can calculate the amount of irradiation irradiated on the irradiation surface. The reflectance of the sidewalk can be obtained, for example, by the method described with reference to FIGS. 7(a) and 7(b). FIG. 16(a) is a graph showing an example of the spectral irradiation intensity from each direction on the sidewalk. In FIG. 16(a), the horizontal axis represents the wavelength of light, and the vertical axis represents the irradiation intensity. FIG. 16(b) is a graph showing an example of the spectral reflectance on the sidewalk. In FIG. 16(b), the horizontal axis represents the wavelength of light, and the vertical axis represents the spectral reflectance. Referring to FIG. 16(b), it can be seen that the spectral reflectance of the sidewalk is 10 to 20%. [Example]

[0057] <Inclusion of reflections from other illuminated surfaces (e.g. grass)> In this embodiment, in the configuration shown in FIG. 1, the heat index prediction system 10 calculates the reflected energy based on the reflectance of the grassland and can calculate the amount of irradiation irradiated to the irradiation surface. The reflectance of the grassland can be calculated, for example, using the method described with reference to FIGS. 7(a) and 7(b). FIG. 17(a) is a graph showing an example of the spectral irradiation intensity from each direction on a grassland. In FIG. 17(a), the horizontal axis represents the wavelength of light, and the vertical axis represents the irradiation intensity. FIG. 17(b) is a graph showing an example of the spectral reflectance of a grassland. In FIG. 17(b), the horizontal axis represents the wavelength of light, and the vertical axis represents the spectral reflectance. Referring to FIG. 17(b), it can be seen that the spectral reflectance of the grassland is 5 to 10%. Also referring to FIG. 17(b), it can be seen that the reflectance of the grassland increases sharply in the near-infrared region. [Example]

[0058] <Inclusion of reflections from other irradiated surfaces (example of asphalt)> In this embodiment, in the configuration shown in FIG. 1, the heat index prediction system 10 calculates the reflected energy based on the reflectance of the asphalt and can calculate the amount of irradiation irradiated onto the irradiation surface. The reflectance of asphalt can be determined, for example, by the method described with reference to FIGS. 7(a) and 7(b). FIG. 18(a) is a graph showing an example of the spectral irradiation intensity from each direction on asphalt. In FIG. 18(a), the horizontal axis represents the wavelength of light, and the vertical axis represents the irradiation intensity. FIG. 18(b) is a graph showing an example of the spectral reflectance of asphalt. In FIG. 18(b), the horizontal axis represents the wavelength of light, and the vertical axis represents the spectral reflectance. Referring to FIG. 18(b), it can be seen that the spectral reflectance of asphalt is 5%. [Example]

[0059] <Explanation of heat index forecast information> The heat index forecast information is further explained below. The third calculation units 21 and 121 calculate heat index prediction information. The heat index prediction information includes, for example, information on at least one of the heat index and the black globe temperature in response to the prediction information inquiry information. When calculating the heat index, the third calculation units 21 and 121 predict the dry bulb temperature, humidity, wet bulb temperature, and black globe temperature.

[0060] (About dry bulb temperature prediction) The dry-bulb temperature can be, for example, the air temperature provided by an organization such as the Japan Meteorological Agency. The third calculation units 21 and 121 obtain the air temperature corresponding to the location, date, time, and direction included in the forecast information inquiry information from the air temperature provided by the organization, and predict it as the dry-bulb temperature.

[0061] (About humidity prediction) The humidity can be provided by an organization such as the Japan Meteorological Agency. The third calculation units 21 and 121 obtain the humidity according to the location, date, time, and direction included in the forecast information inquiry information from the humidity provided by the organization, and predict the humidity.

[0062] (Wet bulb temperature forecast) The third calculation units 21 and 121 calculate the wet-bulb temperature from the dry-bulb temperature and humidity. For example, the third calculation units 21 and 121 predict the wet-bulb temperature by applying the dry-bulb temperature and humidity to a psychrometric chart. Alternatively, the third calculation units 21 and 121 may store a table of the relationship between the dry-bulb temperature, humidity, and wet-bulb temperature, and predict the wet-bulb temperature by applying the dry-bulb temperature and humidity to this table. Alternatively, the third calculation units 21 and 121 may predict the wet-bulb temperature by approximately calculating it from Equation 3 using the Antoine equation, the bisection method, or the like.

number

[0063] (Predicting the black globe temperature) The third calculation units 21 and 121 calculate the black globe temperature based on the direction-specific sunlight intensity information calculated by the second calculation units 12 and 112. The sunlight irradiating the black globe consists of direct sunlight from the sky, scattered sunlight from the sky, and reflected sunlight from the ground. If we assume that the heat balance of the black globe is due to thermal radiation from these sunlight rays and the atmosphere, then the formula shown in FIG. 19 can be obtained, for example. Using the formula shown in FIG. 19, the black globe temperature can be calculated using Equation 4.

number

[0064] The amount of heat that the surface of an object receives from the outside can be calculated using the formula shown in Fig. 20. The values ​​shown in Fig. 20 are calculated by the second calculation units 12 and 112.

[0065] Regarding the ground reflectance in the formula shown in Figure 19, by taking into account the infrared radiation shown in Figure 20, the black globe temperature can be calculated more accurately.

[0066] Furthermore, regarding the ground reflectance in the formula shown in Figure 19, the ideal model is an infinite plane. However, when comparing with measured values, it is effective to limit the range of influence of ground reflection to a finite range as a realistic model. For example, the range of influence of ground reflection can be set to a circular area with a radius of 10 m centered directly below the black sphere.

[0067] Furthermore, by including the sensible heat shown in FIG. 20 on the left side of the equation shown in FIG. 19 and taking into account natural convection and forced convection (wind direction, wind speed, etc.), the black globe temperature can be calculated more accurately.

[0068] (About heat index forecasts) The heat index (WBGT) can be calculated using Equation 5. The third calculation units 21 and 121 calculate and predict the heat index using Equation 5 using the previously calculated dry bulb temperature, wet bulb temperature, and black bulb temperature.

number

[0069] Figure 21 is a table showing the relationship between the heat index value and the alert level. Alert levels are set according to the heat index value. For example, when the heat index is 21 or higher, alert levels such as "Caution," "Alert," "High Alert," and "Danger" are set as shown in Figure 21 to warn people of the risk.

[0070] <Example of prediction results from the heat index prediction system> An example of the prediction result by the heat index prediction system of the present invention will be described below. FIG. 22 is a diagram showing conditions for an example of prediction by the heat index prediction system of the present invention. In this example, three locations were targeted: Tokyo Station, Sapporo Station, and the Okinawa Prefectural Government Office. The dates and times were 4:00 to 20:00 on August 1, 2020. The temperature (dry bulb temperature) and humidity values ​​published by the Japan Meteorological Agency were used.

[0071] Fig. 23 is a graph showing the sunlight information calculated by the second calculation unit of the heat index prediction system under the conditions of Fig. 22. In Fig. 23, the horizontal axis represents time and the vertical axis represents energy.

[0072] Fig. 24 is a graph showing the difference in spectral reflectance depending on the type of ground. In Fig. 24, the horizontal axis is wavelength and the vertical axis is reflectance. Fig. 24 shows the cases where the ground is grass, soil, and concrete.

[0073] Figure 25 is a graph showing heat index prediction information obtained by the heat index prediction system of the present invention when the location is Sapporo Station and the ground is grass. In Figure 25, the horizontal axis is time. In Figure 25, the vertical axis is temperature [°C] for the temperature graph, humidity [%] for the relative humidity graph, temperature [°C] for the black bulb temperature, temperature [°C] for the wet bulb temperature, and WBGT value for the heat index.

[0074] Figure 26 is a graph showing heat index prediction information obtained by the heat index prediction system of the present invention when the location is Tokyo Station and the ground is grass. In Figure 26, the horizontal axis is time. In Figure 26, the vertical axis is temperature [°C] for the temperature graph, humidity [%] for the relative humidity graph, temperature [°C] for the black bulb temperature, temperature [°C] for the wet bulb temperature, and WBGT value for the heat index.

[0075] Figure 27 is a graph showing heat index prediction information obtained by the heat index prediction system of the present invention when the location is the Okinawa Prefectural Government Office and the ground is grass. In Figure 27, the horizontal axis is time. In Figure 27, the vertical axis is temperature [°C] for the temperature graph, humidity [%] for the relative humidity graph, temperature [°C] for the black bulb temperature, temperature [°C] for the wet bulb temperature, and WBGT value for the heat index.

[0076] Figure 28 is a graph showing heat index prediction information obtained by the heat index prediction system of the present invention when the location is Sapporo Station and the ground is soil. In Figure 28, the horizontal axis is time. In Figure 28, the vertical axis is temperature [°C] for the temperature graph, humidity [%] for the relative humidity graph, temperature [°C] for the black bulb temperature, temperature [°C] for the wet bulb temperature, and WBGT value for the heat index.

[0077] Figure 29 is a graph showing heat index prediction information obtained by the heat index prediction system of the present invention when the location is Tokyo Station and the ground is soil. In Figure 29, the horizontal axis is time. In Figure 29, the vertical axis is temperature [°C] for the temperature graph, humidity [%] for the relative humidity graph, temperature [°C] for the black bulb temperature, temperature [°C] for the wet bulb temperature, and WBGT value for the heat index.

[0078] Figure 30 is a graph showing heat index prediction information obtained by the heat index prediction system of the present invention when the location is the Okinawa Prefectural Government Office and the ground is soil. In Figure 30, the horizontal axis is time. In Figure 30, the vertical axis is temperature [°C] for the temperature graph, humidity [%] for the relative humidity graph, temperature [°C] for the black bulb temperature, temperature [°C] for the wet bulb temperature, and WBGT value for the heat index.

[0079] 31 is a graph showing heat index prediction information obtained by the heat index prediction system of the present invention when the location is Sapporo Station and the ground is concrete. In FIG. 31, the horizontal axis is time and the vertical axis is .

[0080] 32 is a graph showing heat index prediction information obtained by the heat index prediction system of the present invention when the location is Tokyo Station and the ground is concrete. In FIG. 32, the horizontal axis is time and the vertical axis is .

[0081] 33 is a graph showing heat index prediction information obtained by the heat index prediction system of the present invention when the location is the Okinawa Prefectural Government Office and the ground is concrete. In FIG. 33, the horizontal axis is time and the vertical axis is .

[0082] Figure 34 is a graph showing the heat index on grass based on the heat index forecast information in Figures 25 to 33. In Figure 34, the horizontal axis represents time, and the vertical axis represents the heat index value. As shown in Figure 21, when the heat index is 31 or higher, the alert level is "dangerous." As can be seen from Figure 34, in areas outside Tokyo Station where the ground is grass on August 1, 2020, the heat index was "dangerous" between approximately 7:30 and 16:30.

[0083] Figure 35 is a graph showing the heat index on soil based on the heat index forecast information in Figures 25 to 33. In Figure 35, the horizontal axis represents time and the vertical axis represents the heat index value. As can be seen from Figure 35, in areas outside Tokyo Station where the ground is soil on August 1, 2020, the heat index was "dangerous" from approximately just before 8:00 to just after 16:00.

[0084] Figure 36 is a graph showing the heat index on concrete based on the heat index forecast information in Figures 25 to 33. In Figure 36, the horizontal axis represents time, and the vertical axis represents the heat index value. As can be seen from Figure 36, in areas outside Tokyo Station with concrete floors on August 1, 2020, the heat index was "dangerous" between approximately 7:00 and 17:00.

[0085] As described above, according to the present invention, it is possible to predict the heat index for a specified area at a specified time.

[0086] Although preferred embodiments of the present invention have been described above, the present invention is not limited to these embodiments. The object of the present invention can also be achieved by providing a storage medium storing program code (computer program) that realizes the functions of the above-described embodiments to a system or device, and having a computer in the system or device read and execute the program code stored in the storage medium. In this case, the program code read from the storage medium itself realizes the functions of the above-described embodiments, and the storage medium storing the program code constitutes the present invention. Furthermore, in the above-described embodiments, a computer executes a program to function as each processing unit, but some or all of the processing may be implemented using dedicated electronic circuits (hardware). The present invention is not limited to the specific embodiments described, and various modifications and variations are possible within the spirit and scope of the present invention as defined by the claims. [Explanation of symbols]

[0087] 2, 3 client machines 4 Network 10 Heat Index Prediction System 11 First calculation section 12 Second calculation section 21 Third Calculation Department 13 Storage section 17 Communications Department

Claims

1. a storage unit that stores date and time information, which is information about a date and time; location information, which is information about a location; and sunlight intensity information, which is information about the date and time indicated by the date and time information and the sunlight intensity at the location indicated by the location information, in association with each other; a communication unit for performing communication; a first calculation unit that calculates the sunlight ray intensity information associated with sunlight ray inquiry information included in the forecast information inquiry information input via the communication unit; a second calculation unit that calculates direction-specific solar ray intensity information using the calculation result of the first calculation unit; A third calculation unit that calculates heat index prediction information that predicts a heat index for the prediction information inquiry information input via the communication unit using the calculation result of the second calculation unit; Equipped with the sunlight inquiry information includes the date and time information, the location information, and direction information indicating a direction in which an irradiation surface irradiated with sunlight faces, the direction-specific sunlight intensity information is information including the intensity of sunlight received by an irradiation surface indicated by the direction information at the date and time indicated by the date and time information and the location indicated by the location information, the communication unit transmits the calculation result of the third calculation unit to a sender of the prediction information inquiry information; The third calculation unit a fourth calculation unit that calculates a dry-bulb temperature in response to the prediction information inquiry information input via the communication unit; a fifth calculation unit that calculates the humidity in response to the prediction information inquiry information input via the communication unit; a sixth calculation unit that calculates a wet-bulb temperature in response to the forecast information inquiry information input via the communication unit; a seventh calculation unit that calculates a black globe temperature in response to the prediction information inquiry information input via the communication unit using the calculation result of the second calculation unit; An eighth calculation unit that calculates a heat index for the prediction information inquiry information input via the communication unit using the calculation results of the fourth calculation unit, the fifth calculation unit, the sixth calculation unit, and the seventh calculation unit; Including, the communication unit transmits a calculation result of at least one of the fourth calculation unit, the fifth calculation unit, the sixth calculation unit, the seventh calculation unit, and the eighth calculation unit to a sender of the prediction information inquiry information, the seventh calculation unit calculates the black globe temperature using a spectral reflectance of the ground, which is a reflective surface; A heat index prediction system characterized by:

2. a first calculation unit that calculates sunlight intensity information that is information about sunlight intensity at a date and time indicated by date and time information that is information about date and time and at a location indicated by location information that is information about a location; a storage unit that stores the date and time information, the location information, and the sunlight intensity information calculated by the first calculation unit in association with each other; a communication unit for performing communication; an extracting unit that extracts, from the storage unit, the sunlight ray intensity information associated with sunlight ray inquiry information included in the forecast information inquiry information input via the communication unit; a second calculation unit that calculates direction-specific sunlight intensity information using the sunlight intensity information extracted by the extraction unit; A third calculation unit that calculates heat index prediction information that predicts a heat index for the prediction information inquiry information input via the communication unit using the calculation result of the second calculation unit; Equipped with the sunlight inquiry information includes the date and time information, the location information, and direction information indicating a direction in which an irradiation surface irradiated with sunlight faces, the direction-specific sunlight intensity information is information including the intensity of sunlight received by an irradiation surface indicated by the direction information at the date and time indicated by the date and time information and the location indicated by the location information, the communication unit transmits the calculation result of the third calculation unit to a sender of the prediction information inquiry information; The third calculation unit a fourth calculation unit that calculates a dry-bulb temperature in response to the prediction information inquiry information input via the communication unit; a fifth calculation unit that calculates the humidity in response to the prediction information inquiry information input via the communication unit; a sixth calculation unit that calculates a wet-bulb temperature in response to the forecast information inquiry information input via the communication unit; a seventh calculation unit that calculates a black globe temperature in response to the prediction information inquiry information input via the communication unit using the calculation result of the second calculation unit; An eighth calculation unit that calculates a heat index for the prediction information inquiry information input via the communication unit using the calculation results of the fourth calculation unit, the fifth calculation unit, the sixth calculation unit, and the seventh calculation unit; Including, the communication unit transmits a calculation result of at least one of the fourth calculation unit, the fifth calculation unit, the sixth calculation unit, the seventh calculation unit, and the eighth calculation unit to a sender of the prediction information inquiry information, the seventh calculation unit calculates the black globe temperature using a spectral reflectance of the ground, which is a reflective surface; A heat index prediction system characterized by:

3. The heat index prediction system according to claim 1 or 2, The direction indicated by the direction information is a direction perpendicular to the surface on which the irradiation surface receiving the sunlight spreads. A heat index prediction system characterized by:

4. 4. The heat index prediction system according to claim 1, the sunlight intensity information includes the intensity of sunlight reflected by a surface other than the irradiation surface facing the direction indicated by the direction information; A heat index prediction system characterized by:

5. Computer a storage unit that stores date and time information, which is information about a date and time; location information, which is information about a location; and sunlight intensity information, which is information about the date and time indicated by the date and time information and the sunlight intensity at the location indicated by the location information, in association with each other; a communication unit for performing communication; a first calculation unit that calculates the sunlight ray intensity information associated with sunlight ray inquiry information included in the forecast information inquiry information input via the communication unit; a second calculation unit that calculates direction-specific solar ray intensity information using the calculation result of the first calculation unit; A third calculation unit that calculates heat index prediction information that predicts a heat index for the prediction information inquiry information input via the communication unit using the calculation result of the second calculation unit; It functions as the sunlight inquiry information includes the date and time information, the location information, and direction information indicating a direction in which an irradiation surface irradiated with sunlight faces, the direction-specific sunlight intensity information is information including the intensity of sunlight received by an irradiation surface indicated by the direction information at the date and time indicated by the date and time information and the location indicated by the location information, the communication unit transmits the calculation result of the third calculation unit to a sender of the prediction information inquiry information; The third calculation unit a fourth calculation unit that calculates a dry-bulb temperature in response to the prediction information inquiry information input via the communication unit; a fifth calculation unit that calculates the humidity in response to the prediction information inquiry information input via the communication unit; a sixth calculation unit that calculates a wet-bulb temperature in response to the forecast information inquiry information input via the communication unit; a seventh calculation unit that calculates a black globe temperature in response to the prediction information inquiry information input via the communication unit using the calculation result of the second calculation unit; An eighth calculation unit that calculates a heat index for the prediction information inquiry information input via the communication unit using the calculation results of the fourth calculation unit, the fifth calculation unit, the sixth calculation unit, and the seventh calculation unit; Including, the communication unit transmits a calculation result of at least one of the fourth calculation unit, the fifth calculation unit, the sixth calculation unit, the seventh calculation unit, and the eighth calculation unit to a sender of the prediction information inquiry information, the seventh calculation unit calculates the black globe temperature using a spectral reflectance of the ground, which is a reflective surface; A heat index prediction program characterized by

6. Computer a first calculation unit that calculates sunlight intensity information that is information about sunlight intensity at a date and time indicated by date and time information that is information about date and time and at a location indicated by location information that is information about a location; a storage unit that stores the date and time information, the location information, and the sunlight intensity information calculated by the first calculation unit in association with each other; a communication unit for performing communication; an extracting unit that extracts, from the storage unit, the sunlight ray intensity information associated with sunlight ray inquiry information included in the forecast information inquiry information input via the communication unit; a second calculation unit that calculates direction-specific sunlight intensity information using the sunlight intensity information extracted by the extraction unit; A third calculation unit that calculates heat index prediction information that predicts a heat index for the prediction information inquiry information input via the communication unit using the calculation result of the second calculation unit; It functions as the sunlight inquiry information includes the date and time information, the location information, and direction information indicating a direction in which an irradiation surface irradiated with sunlight faces, the direction-specific sunlight intensity information is information including the intensity of sunlight received by an irradiation surface indicated by the direction information at the date and time indicated by the date and time information and the location indicated by the location information, the communication unit transmits the calculation result of the third calculation unit to a sender of the prediction information inquiry information; The third calculation unit a fourth calculation unit that calculates a dry-bulb temperature in response to the prediction information inquiry information input via the communication unit; a fifth calculation unit that calculates the humidity in response to the prediction information inquiry information input via the communication unit; a sixth calculation unit that calculates a wet-bulb temperature in response to the forecast information inquiry information input via the communication unit; a seventh calculation unit that calculates a black globe temperature in response to the prediction information inquiry information input via the communication unit using the calculation result of the second calculation unit; An eighth calculation unit that calculates a heat index for the prediction information inquiry information input via the communication unit using the calculation results of the fourth calculation unit, the fifth calculation unit, the sixth calculation unit, and the seventh calculation unit; Including, the communication unit transmits a calculation result of at least one of the fourth calculation unit, the fifth calculation unit, the sixth calculation unit, the seventh calculation unit, and the eighth calculation unit to a sender of the prediction information inquiry information, the seventh calculation unit calculates the black globe temperature using a spectral reflectance of the ground, which is a reflective surface; A heat index prediction program characterized by

Images