Solar radiation forecasting system and solar radiation forecasting program

Abstract

To provide a solar-radiation prediction system in consideration of influence of a solar-radiation obstacle.SOLUTION: A solar-radiation prediction system comprises: a storage section for storing date information, place information, and sunlight beam intensity information by association; a communication section for performing communication; a first calculation section for calculating sunlight beam intensity information associated with sunlight beam inquiry information included in prediction information inquiry information that has been input via the communication section; a second calculation section for calculating direction-specification sunlight beam intensity information with the use of a calculation result of the first calculation section; and a third calculation section for calculating solar-radiation prediction information by which solar-radiation energy with respect to the prediction information inquiry information input via the communication section is predicted by using a mask corresponding to a solar-radiation obstacle with the use of a calculation result of the second calculation section. The communication section transmits the solar-radiation prediction information calculated by the third calculation section to a transmission source of the prediction information inquiry information.SELECTED DRAWING: Figure 1

Description

[Technical Field]

[0001] The present invention relates to a solar radiation prediction system and a solar radiation prediction program, and more particularly to a system and a program that take into account the effects of shading. [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] Furthermore, in some cases, the location or area where the energy intensity of UV radiation or solar radiation is desired to be known may be subject to solar radiation obstructions such as the surrounding terrain or structures. Up until now, no solar radiation prediction system has been provided that takes into account the influence of solar radiation obstructions.

[0007] The present invention has been made to solve the above-mentioned problems, and has an object to provide a solar radiation prediction system that takes into account the influence of solar radiation obstructions. [Means for solving the problem]

[0008] In order to solve the above problem, the present invention provides a solar radiation 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 solar radiation intensity information, which is information about the solar radiation 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 solar radiation intensity information associated with the solar radiation inquiry information included in forecast information inquiry information input via the communication unit; a second calculation unit that calculates direction-specific solar radiation intensity information using the calculation result of the first calculation unit; and a second calculation unit that calculates direction-specific solar radiation intensity information using the calculation result of the second calculation unit. and a third calculation unit that calculates solar radiation forecast information that predicts solar radiation energy for the forecast information inquiry information input via the communication unit using a mask according to a solar radiation obstacle, the solar radiation inquiry information including the date and time information, the location information, and direction information that indicates a direction in which an irradiation surface that is irradiated with solar radiation faces, and the direction-specific solar radiation intensity information is information that includes the intensity of solar radiation received by the irradiation surface that is indicated by the direction information at the date and time indicated by the date and time information and the location that is indicated by the location information, and the communication unit transmits a calculation result of the third calculation unit to a sender of the forecast information inquiry information. the mask has a spectral transmittance corresponding to the transmittance of the solar radiation obstruction, and the third calculation unit calculates the solar radiation forecast information using the spectral transmittance of the mask. It is characterized by: [Effects of the Invention]

[0009] According to the present invention, it is possible to provide a solar radiation prediction system that takes into account the influence of solar radiation obstructions. [Brief explanation of the drawings]

[0010] [Figure 1] 1 is a block diagram showing a configuration of a solar radiation 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 solar radiation prediction system 10 shown in FIG. [Figure 11] FIG. 10 is a block diagram showing the configuration of a solar radiation prediction system according to a second embodiment of the present invention. [Figure 12] 12 is a flowchart showing the operation of the solar radiation prediction system 100 shown in FIG. [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. 10 is a diagram illustrating solar radiation energy without taking into consideration the influence of solar radiation obstructions. [Figure 20] FIG. 10 is a diagram illustrating solar radiation energy taking into consideration the influence of solar radiation obstructions. [Figure 21] FIG. 10 is a diagram illustrating solar radiation energy taking into consideration the transmittance of a solar radiation obstruction. [Figure 22] FIG. 10 is a diagram showing conditions in an example of prediction by the solar radiation prediction system of the present invention. [Figure 23] FIG. 1 is a diagram showing a calculation model of solar radiation energy. [Figure 24] 24(A), 24(B) and 24(C) are diagrams showing images of the mask. [Figure 25] 25(A), 25(B), 25(C) and 25(D) are diagrams showing images of the sky. [Figure 26] Figures 26(A), 26(B), 26(C), 26(D), 26(E), 26(F), 26(G) and 26(H) are diagrams showing images of the sky at different times. [Figure 27] 27(A), 27(B), 27(C) and 27(D) are diagrams showing images of the sky. [Figure 28] 23 is a graph showing the amount of global solar radiation calculated by the solar radiation prediction system of this embodiment under the conditions of FIG. 22. [Figure 29] 23 is a graph showing the attenuation rate of global solar radiation due to topography calculated by the solar radiation prediction system of this embodiment under the conditions of FIG. 22. [Figure 30] 23 is a graph showing the amount of ultraviolet rays calculated by the solar radiation prediction system of this embodiment under the conditions of FIG. 22. [Figure 31] 23 is a graph showing the attenuation rate of ultraviolet radiation due to topography calculated by the solar radiation prediction system of this embodiment under the conditions of FIG. 22. DETAILED DESCRIPTION OF THE INVENTION

[0011] The solar radiation prediction system according to the present invention will be described in detail below with reference to the drawings. The embodiments described below 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 embodiments described below can be appropriately replaced with existing components, and various variations, including combinations with other existing components, are possible. Therefore, the description of the embodiments described below does not limit the content of the invention described in the claims.

[0012] In the following embodiments, the present invention is applied to a solar radiation prediction system, and a system is described that provides a user with information about solar radiation, 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 solar radiation. In the following embodiments, the solar radiation intensity is also referred to as solar radiation intensity. [Example]

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

[0014] As shown in FIG. 1 , the solar radiation prediction system 10 includes a storage unit 13 that stores solar radiation 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 solar radiation intensity information 16 associated with solar radiation inquiry information included in forecast information inquiry information received via the communication unit 17; a second calculation unit 12 that calculates direction-specific solar radiation intensity information using the calculation result of the first calculation unit 11; and a third calculation unit 21 that calculates solar radiation forecast information that predicts solar radiation corresponding to the forecast information inquiry information input via the communication unit 17 using the calculation result of the second calculation unit 12. As described in detail below, the third calculation unit 21 calculates solar radiation forecast information that takes solar radiation obstructions into account. The communication unit 17 communicates with, for example, an external device. The forecast information inquiry information includes solar radiation inquiry information. The solar radiation inquiry information includes date and time information 14, location information 15, and direction information 16a that indicates the direction of solar radiation, i.e., the direction of an irradiated surface that receives 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 forecast 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 sunlight prediction system 10 executing a program, and the memory unit 13 may store the program to be executed by the sunlight 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 addition, in the solar radiation 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 solar radiation prediction system in which a server machine and a client machine are connected via a network, the server machine comprising: a storage unit 13 that stores date and time information 14, which is information about 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 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 by, for example, a bus. 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 solar radiation 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 solar radiation 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 insolation 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 irradiated with sunlight faces. The direction indicated by the direction information 16a is a direction perpendicular to the plane in which the irradiated surface irradiated with sunlight extends. The direction information 16a will be described later with reference to FIGS. 2 to 5. The calculation result by the first calculation unit 11 is transmitted from the insolation prediction system 10 to the client machine 2 or the client machine 3 that 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 solar radiation prediction system 10 shown in Fig. 1. In step S71, it is determined whether or not forecast information inquiry information has been received from the client machine 2 or the client machine 3 via the network 4. If forecast information inquiry information has been received (step S71: Yes), the process proceeds to step S72, and if forecast 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, the direction-specific sunlight intensity information calculated in step S73 is used to calculate solar radiation forecast information that predicts solar radiation corresponding to the forecast information inquiry information received in step S71. The solar radiation forecast information calculated here includes, for example, solar radiation forecast information that takes solar radiation obstructions into account. Details of the calculation of solar radiation forecast information that takes solar radiation obstructions into account will be described later.

[0038] In step S75, the solar radiation forecast information calculated in step S74 is transmitted via network 4 to client machine 2 or client machine 3, which is the sender of the current forecast information inquiry information. Client machine 2 or client machine 3 can obtain solar radiation forecast information simply by transmitting forecast information inquiry information including solar radiation inquiry information including date / time information 14, location information 15, and direction information 16a to solar radiation forecasting system 10. Client machine 2 or client machine 3 can provide various applications to end users using the solar radiation forecast information obtained from solar radiation forecasting system 10. [Example]

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

[0040] 11 , the solar radiation prediction system 100 includes a first calculation unit 110 that calculates solar radiation intensity information 116 (described later in detail) in advance using date and time information and location information, a storage unit 113 that stores the solar radiation 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, the solar radiation intensity information 116 associated with the solar radiation inquiry information included in the forecast information inquiry information input via the communication unit 117, a second calculation unit 112 that calculates direction-specific solar radiation intensity information using the solar radiation intensity information 116 extracted by the extraction unit 111, and a third calculation unit 121 that calculates solar radiation forecast information that predicts solar radiation for the forecast information inquiry information input via the communication unit 117 using the calculation result of the second calculation unit 112. As described later in detail, the third calculation unit 121 calculates solar radiation forecast information that takes solar radiation obstructions into account. The communication unit 117 communicates with, for example, an external device. The forecast information inquiry information includes sunlight ray inquiry information. The sunlight ray inquiry information includes date and time information 114, location information 115, and direction information 116a. The direction-specific sunlight ray intensity information is information including the intensity of sunlight ray 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 forecast 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 sunlight prediction system 100 executing a program, and the memory unit 113 may store the program to be executed by the sunlight 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 solar radiation 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 solar radiation prediction system in which a server machine and client machines 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 116 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 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 solar radiation 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 solar radiation prediction system 100 via the network 4.

[0045] Forecast information inquiry information is transmitted from the client machine 2 or the client machine 3 to the solar radiation prediction system 100 via the 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 the extraction unit 112, is transmitted from the solar radiation prediction system 100 via the network 4 to the client machine 2 or the client machine 3 that has transmitted 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 solar radiation 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, the direction-specific sunlight ray intensity information calculated in step S94 is used to calculate solar radiation forecast information that predicts solar radiation corresponding to the forecast information inquiry information received in step S93. The solar radiation forecast information calculated here includes, for example, solar radiation forecast information that takes solar radiation obstructions into account. The solar radiation forecast information calculated here includes, for example, solar radiation forecast information that takes solar radiation obstructions into account. Details of the calculation of solar radiation forecast information that takes solar radiation obstructions into account will be described later.

[0051] In step S96, the solar radiation forecast information calculated in step S95 is transmitted via network 4 to client machine 2 or client machine 3, which is the sender of the current forecast information inquiry information. Client machine 2 or client machine 3 can obtain solar radiation forecast information and easily obtain more detailed solar radiation forecast information simply by transmitting forecast information inquiry information including solar radiation inquiry information including date / time information 14, location information 15, and direction information 16a to solar radiation forecasting system 100. Client machine 2 or client machine 3 can provide various applications to end users using the solar radiation forecast information obtained from solar radiation forecasting 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 solar radiation 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-mentioned Example 1. 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 example, in the configuration shown in FIG. 1, the solar radiation 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 example, 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 example, 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 solar radiation prediction system 10 calculates 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 spectral irradiation intensity from each direction on a 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 spectral reflectance on a 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 solar radiation prediction system 10 calculates the reflected energy based on the reflectance of the grassland and can calculate the amount of irradiation irradiated onto the irradiation surface. The reflectance of the grassland can be calculated, for example, by 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 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 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 grassland is 5 to 10%. Also referring to FIG. 17(b), it can be seen that the reflectance of 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 solar radiation 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 solar radiation forecast information taking solar radiation obstructions into account> The solar radiation forecast information that takes solar radiation obstructions into consideration will be further described below. As described above, in the solar radiation prediction system 10 or 100, the first calculation unit 11 or 110 calculates sunlight ray intensity information, and the second calculation unit 12 or 112 calculates direction-specific sunlight ray intensity information. From the sunlight energy calculated as a result of these calculations, the third calculation unit 21 or 121 calculates sunlight energy taking into account the influence of sunlight obstructions. This sunlight energy may be spectral sunlight energy. The sunlight prediction information taking into account sunlight obstructions includes sunlight energy taking into account the influence of sunlight obstructions. For example, spectral radiance can be used as sunlight energy.

[0060] FIG. 19 is a diagram illustrating solar radiation energy without considering the influence of solar radiation obstructions. FIG. 20 is a diagram illustrating solar radiation energy with consideration of the influence of solar radiation obstructions. As shown in FIG. 19, solar radiation energy 250 without consideration of the influence of solar radiation obstructions is the energy of sunlight irradiating a hemispherically onto an irradiated surface. However, in reality, terrain 200 such as mountains and architectural structures 210 act as solar radiation obstructions, and the solar radiation energy on these irradiated surfaces is smaller than solar radiation energy 250. Therefore, in this embodiment, as shown in FIG. 20, solar radiation energy 255 is calculated with consideration of the influence of solar radiation obstructions such as terrain 200 and architectural structures 210. Solar radiation energy 255 can be calculated by applying a mask corresponding to solar radiation obstructions, such as terrain 200 and architectural structures 210, to solar radiation energy 250. The mask corresponding to the solar radiation obstruction can be determined according to the size, shape, and position of the solar radiation obstruction.

[0061] FIG. 21 is a diagram illustrating solar radiation energy taking into account the transmittance of solar radiation obstructions. For example, if the irradiated surface is inside a greenhouse, the solar radiation energy is attenuated by the vinyl 265 covering the greenhouse. In this case, the vinyl 265 can also be considered a solar radiation obstruction. Therefore, in this embodiment, a mask that takes into account the transmittance of each solar radiation obstruction may be applied to the solar radiation energy 250 to calculate the solar radiation energy 255. Examples of solar radiation obstructions whose transmittance is considered include vinyl inside a greenhouse, indoor windows, and water underwater. For example, as shown in FIG. 21 , a mask for the transmittance of the vinyl 265 may be applied to the entire hemisphere irradiated by sunlight, and a mask 260a based on the terrain 200 and a mask 260b based on the architectural structure 210 may also be applied to the solar radiation energy 250. Furthermore, a mask with a lower transmittance may be applied to each part of the hemisphere irradiated by sunlight.

[0062] Equation 3 is an example of a formula for calculating the amount of solar radiation. Equation 4 is an example of a formula for calculating the spectral radiance without taking into account the influence of solar radiation obstructions. Equation 5 is an example of a formula for calculating the optical radiance with the influence of solar radiation obstructions taken into account.

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[0063] In this embodiment, for example, using Equation 5, the third calculation unit 21 or 121 calculates the light radiance taking into account the influence of the solar radiation obstruction.

[0064] <Example of forecast results from the solar radiation forecasting system> An example of the prediction result obtained by the solar radiation prediction system of this embodiment will be described below. FIG. 22 is a diagram showing conditions in an example of prediction by the solar radiation prediction system of the present invention. In this example, Kochi Prefecture is used as the location. The prediction covers the period from January 2022 to December 2022. As described above, according to this embodiment, the third calculation units 21 and 121 calculate solar radiation energy taking into account the influence of solar radiation obstructions.

[0065] Fig. 23 is a diagram showing a calculation model for solar radiation energy. In this embodiment, as shown in Fig. 23, the solar radiation energy that is scattered and reaches the calculation point is the amount excluding the amount of solar radiation obstruction caused by solar radiation obstructions.

[0066] Next, images of the masks are shown to assist in explaining the masks. Figures 24(A), 24(B), and 24(C) are diagrams showing images of the masks. Figure 24(A) is an image of the mask when there are no solar radiation obstructions. Figure 24(B) is an image of the mask when there are terrain-based solar radiation obstructions. Figure 24(C) is an image of the mask when there are terrain-based solar radiation obstructions and building structures. As shown in Figures 24(B) and 24(C), the mask for solar radiation energy can be a mask that reflects the size, shape, and position of the solar radiation obstructions.

[0067] Next, images of the sky are shown. Figures 25(A), 25(B), 25(C), and 25(D) are diagrams showing images of the sky. Figure 25(A) is an image of the sky on June 20th when there are no obstructions to solar radiation. Figure 25(B) is an image of the sky on June 20th when there are obstructions to solar radiation (topography). Figure 25(C) is an image of the sky on December 20th when there are no obstructions to solar radiation. Figure 25(D) is an image of the sky on December 20th when there are obstructions to solar radiation (topography).

[0068] Next, images of the sky at each time of day are shown. Figures 26(A), 26(B), 26(C), 26(D), 26(E), 26(F), 26(G), and 26(H) are diagrams showing images of the sky at each time of day. Figure 26(A) is an image of the sky at each time of day when solar radiation obstructions on March 20th are taken into account. Figure 26(B) is an image of the sky at each time of day when solar radiation obstructions on March 20th are not taken into account. Figure 26(C) is an image of the sky at each time of day when solar radiation obstructions on June 20th are taken into account. Figure 26(D) is an image of the sky at each time of day when solar radiation obstructions on June 20th are not taken into account. Figure 26(E) is an image of the sky at each time of day when solar radiation obstructions on September 20th are taken into account. Figure 26(F) is an image of the sky at each time of day when solar radiation obstructions on September 20th are not taken into account. Figure 26(G) is an image of the sky at each time of day when solar radiation obstructions are taken into consideration on December 20th. Figure 26(H) is an image of the sky at each time of day when solar radiation obstructions are not taken into consideration on December 20th.

[0069] Next, images of the sky are shown. Figures 27(A), 27(B), 27(C), and 27(D) are diagrams showing images of the sky. Figure 27(A) is an image of the sky on June 20th when there are no solar radiation obstructions. Figure 27(B) is an image of the sky on June 20th when there are solar radiation obstructions (building structures). Figure 27(C) is an image of the sky on December 20th when there are no solar radiation obstructions. Figure 27(D) is an image of the sky on December 20th when there are solar radiation obstructions (building structures).

[0070] Fig. 28 is a graph showing the amount of global solar radiation calculated by the solar radiation prediction system of this embodiment under the conditions of Fig. 22. In Fig. 28, the horizontal axis represents date and time, and the vertical axis represents the amount of global solar radiation. Fig. 28 shows calculation results when solar radiation obstructions are not taken into account outdoors, when solar radiation obstructions are not taken into account inside a greenhouse, when solar radiation obstructions are taken into account outdoors, and when solar radiation obstructions are taken into account inside a greenhouse.

[0071] Fig. 29 is a graph showing the attenuation rate of global solar radiation due to terrain, calculated by the solar radiation prediction system of this embodiment under the conditions of Fig. 22. In Fig. 29, the horizontal axis represents the date and time, and the vertical axis represents the attenuation rate of global solar radiation due to terrain. Fig. 29 shows the calculation results for an open field and a greenhouse.

[0072] Fig. 30 is a graph showing the amount of ultraviolet rays calculated by the solar radiation prediction system of this embodiment under the conditions of Fig. 22. In Fig. 30, the horizontal axis represents date and time, and the vertical axis represents the amount of ultraviolet rays. Fig. 30 shows calculation results when solar radiation obstructions are not taken into account outdoors, when solar radiation obstructions are not taken into account inside a greenhouse, when solar radiation obstructions are taken into account outdoors, and when solar radiation obstructions are taken into account inside a greenhouse.

[0073] Fig. 31 is a graph showing the attenuation rate of ultraviolet light intensity due to terrain, calculated by the solar radiation prediction system of this embodiment under the conditions of Fig. 22. In Fig. 31, the horizontal axis represents the date and time, and the vertical axis represents the attenuation rate of ultraviolet light intensity due to terrain. Fig. 31 shows the calculation results for an open field and a greenhouse.

[0074] As described above, according to the present invention, it is possible to predict solar radiation energy in a specified area at a specified time, taking into account solar radiation obstructions.

[0075] 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]

[0076] 2, 3 client machines 4 Network 10. Solar radiation forecasting 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 solar radiation forecast information that predicts solar radiation energy corresponding to the forecast information inquiry information input via the communication unit using a mask according to a solar radiation obstacle, using the calculation result of the second calculation unit; and 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 mask has a spectral transmittance corresponding to the transmittance of the solar radiation obstruction; the third calculation unit calculates the solar radiation prediction information using a spectral transmittance of the mask. A solar radiation forecasting system.

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 solar radiation forecast information that predicts solar radiation energy corresponding to the forecast information inquiry information input via the communication unit using a mask according to a solar radiation obstacle, using the calculation result of the second calculation unit; and 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 mask has a spectral transmittance corresponding to the transmittance of the solar radiation obstruction; the third calculation unit calculates the solar radiation prediction information using a spectral transmittance of the mask. A solar radiation forecasting system.

3. The solar radiation 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 solar radiation forecasting system.

4. The solar radiation prediction system according to any one of claims 1 to 3, 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 solar radiation forecasting system.

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 solar radiation forecast information that predicts solar radiation energy corresponding to the forecast information inquiry information input via the communication unit using a mask according to a solar radiation obstacle, using the calculation result of the second calculation unit; and 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 mask has a spectral transmittance corresponding to the transmittance of the solar radiation obstruction; the third calculation unit calculates the solar radiation prediction information using a spectral transmittance of the mask. A solar radiation forecasting 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 solar radiation forecast information that predicts solar radiation energy corresponding to the forecast information inquiry information input via the communication unit using a mask according to a solar radiation obstacle, using the calculation result of the second calculation unit; and 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 mask has a spectral transmittance corresponding to the transmittance of the solar radiation obstruction; the third calculation unit calculates the solar radiation prediction information using a spectral transmittance of the mask. A solar radiation forecasting program characterized by:

Images