KR20210034238A - Apparatus for estimating solar radiation and method thereof - Google Patents

Abstract

According to an embodiment of the present invention, an insolation estimation apparatus comprises: an input unit for receiving satellite images; a cloud area detection unit for detecting a cloud area from the satellite image; a generating unit for generating a fluid path corresponding to an observation point based on at least one of the satellite image and numerical weather prediction (NWP); an inference unit for inferring a movement path of a future period for the cloud area based on the cloud area and the fluid path; and an insolation estimation unit for estimating the amount of insolation at the observation point based on the movement path of the future period for the cloud area.

Description

Insolation estimating device and method thereof TECHNICAL FIELD [APPARATUS FOR ESTIMATING SOLAR RADIATION AND METHOD THEREOF}

The embodiment relates to an apparatus and method for estimating solar radiation.

Solar energy is an energy source of the Earth's ocean-atmosphere system, regulates the temperature of land, ocean, and atmosphere, and plays a very important role in human life such as agriculture, environment, and weather. Recently, as social interest in new and renewable energy has increased and practical use has increased, the performance prediction of solar power and solar thermal facilities is being dealt with importantly, and accordingly, research to improve the precision and accuracy of the amount of insolation that determines the performance of the system. Is actively progressing.

In overseas advanced countries such as the United States and Switzerland, ground observation networks have been installed to estimate the amount of basic insolation resources, and insolation has been observed. Insolation data is provided by. Insolation measurement by ground observatories has the advantage of providing high-accuracy observations at short time intervals, but it is not possible to obtain values for areas where there is no observatory, so it is necessary to rely on estimation of insolation using surrounding values. There are drawbacks.

Insolation data calculated using satellite data has the advantage of being able to provide information on wide area space and information on non-access areas, unlike ground observation data. Recently, many studies have been conducted both domestically and internationally to estimate the amount of insolation using satellite images.

However, in estimating solar radiation using satellite images, the biggest obstacle to improving the accuracy of solar radiation estimation is cloud detection and cloud movement prediction. This is because the amount of solar radiation incident on the actual horizontal plane can vary greatly depending on the presence or absence of clouds.

Therefore, there is a need for a method that can improve the accuracy of cloud detection and movement prediction in satellite images.

The technology behind the present invention is disclosed in Korean Patent Publication No. 10-2008-0031702 (published on April 10, 2008).

The embodiment provides an apparatus and method for estimating solar radiation based on a satellite image.

In addition, the embodiment provides an insolation estimating apparatus and method capable of predicting solar power generation amount based on the estimated insolation amount.

The problems to be solved in the examples are not limited thereto, and the objectives and effects that can be grasped from the solutions or embodiments of the problems described below are also included.

The solar radiation estimation apparatus according to an embodiment of the present invention is based on at least one of an input unit for receiving a satellite image, a cloud region detection unit for detecting a cloud region from the satellite image, and the satellite image and Numerical Weather Prediction (NWP). A generation unit that generates a fluid path corresponding to the observation point, an inference unit that infers a movement path of a future period for the cloud area based on the cloud area and the fluid path, and a movement of a future period with respect to the cloud area And an insolation amount estimating unit for estimating the amount of insolation at the observation point based on a path.

The generation unit generates an atmospheric vector field corresponding to the satellite image based on at least one of a satellite image and a numerical weather prediction (NWP), and the remains connected to the observation point based on the atmospheric vector field. At least one of a pathline, a streakline, and a streamline may be generated.

The generation unit may form a fluid trajectory from an atmospheric vector included in the atmospheric vector field, and generate at least one of the flow line, a streamline, and a streamline through a fluid trajectory intersecting the observation point among the fluid trajectories. .

The inference unit may select the cloud region intersecting the fluid path corresponding to the observation point, and infer the movement path of the selected cloud region according to a fluid path connected to the selected cloud region.

The insolation estimating unit estimates a passage time point at which the selected cloud region passes through the observation point using a moving path of the selected cloud region and a fluid path corresponding to the observation point, and the observation point You can estimate the amount of insolation in the future period at.

It may further include a generation amount predicting unit for predicting the amount of solar power generation based on the estimated amount of insolation.

In the solar radiation estimation method according to an embodiment of the present invention, observation is made based on at least one of receiving a satellite image, detecting a cloud region from the satellite image, and the satellite image and numerical weather prediction (NWP). Generating a fluid path corresponding to a point, inferring a movement path of a future period for the cloud area based on the cloud area and the fluid path, and based on a movement path of a future period for the cloud area And estimating the amount of insolation at the observation point.

The generating of the fluid path corresponding to the observation point may include generating an atmospheric vector field corresponding to the satellite image based on at least one of a satellite image and a numerical weather prediction (NWP), and the atmosphere It may include generating at least one of a pathline, a streakline, and a streamline connected to the observation point based on the vector field.

The generating of a fluid path corresponding to the observation point may include forming a fluid trajectory from an atmospheric vector included in the atmospheric vector field, and the trace line and the flow vein line through a fluid trajectory intersecting the observation point among the fluid trajectories. And at least one of wired lines may be generated.

Inferring the movement path of the future period may include selecting the cloud region intersecting the fluid path corresponding to the observation point, and determining the movement path of the selected cloud region according to a fluid path connected to the selected cloud region. I can infer.

The step of estimating the amount of insolation may include estimating a time point at which the selected cloud region passes through the observation point using a moving path of the selected cloud region and a fluid path corresponding to the observation point, and at the time of passage It may include the step of estimating the amount of insolation in the future period at the observation point on the basis.

It may further include predicting the amount of solar power generation based on the estimated amount of insolation.

It may include a recording medium in which a computer-readable program for executing any of the above methods is recorded.

According to an embodiment, long-term prediction of cloud movement based on satellite images is possible.

According to the embodiment, it is possible to predict the amount of insolation with high accuracy through a small amount of resources.

According to the embodiment, it is possible to predict the amount of power generation with high accuracy.

Various and beneficial advantages and effects of the present invention are not limited to the above description, and will be more easily understood in the course of describing specific embodiments of the present invention.

1 is a block diagram of an apparatus for estimating solar radiation according to an embodiment of the present invention.
2 is a flowchart of a method for estimating solar radiation according to an embodiment of the present invention.
3 is a diagram illustrating a process of detecting a cloud region according to an exemplary embodiment of the present invention.
FIG. 4 is a detailed flowchart illustrating step S230 of FIG. 2.
5 is a view for explaining a process of generating a fluid path according to an embodiment of the present invention.
6 is a detailed flowchart illustrating step S240 of FIG. 2.
7 is a diagram for explaining a process of inferring a moving path of a cloud region according to an embodiment of the present invention.
FIG. 8 is a detailed flowchart illustrating step S250 of FIG. 2.
9 is a diagram for describing a process of estimating solar radiation according to an embodiment of the present invention.

The present invention is intended to illustrate and describe specific embodiments in the drawings, as various changes may be made and various embodiments may be provided. However, this is not intended to limit the present invention to a specific embodiment, it should be understood to include all changes, equivalents, and substitutes included in the spirit and scope of the present invention.

Terms including ordinal numbers such as second and first may be used to describe various elements, but the elements are not limited by the terms. The above terms are used only for the purpose of distinguishing one component from another component. For example, without departing from the scope of the present invention, the second element may be referred to as the first element, and similarly, the first element may be referred to as the second element. The term and/or includes a combination of a plurality of related listed items or any of a plurality of related listed items.

When a component is referred to as being "connected" or "connected" to another component, it is understood that it may be directly connected or connected to the other component, but other components may exist in the middle. It should be. On the other hand, when a component is referred to as being "directly connected" or "directly connected" to another component, it should be understood that there is no other component in the middle.

The terms used in the present application are only used to describe specific embodiments, and are not intended to limit the present invention. Singular expressions include plural expressions unless the context clearly indicates otherwise. In the present application, terms such as "comprise" or "have" are intended to designate the presence of features, numbers, steps, actions, components, parts, or combinations thereof described in the specification, but one or more other features. It is to be understood that the presence or addition of elements or numbers, steps, actions, components, parts, or combinations thereof does not preclude in advance.

Unless otherwise defined, all terms used herein including technical or scientific terms have the same meaning as commonly understood by one of ordinary skill in the art to which the present invention belongs. Terms as defined in a commonly used dictionary should be interpreted as having a meaning consistent with the meaning in the context of the related technology, and should not be interpreted as an ideal or excessively formal meaning unless explicitly defined in the present application. Does not.

Hereinafter, exemplary embodiments will be described in detail with reference to the accompanying drawings, but identical or corresponding components are denoted by the same reference numerals regardless of reference numerals, and redundant descriptions thereof will be omitted.

1 is a block diagram of an apparatus for estimating solar radiation according to an embodiment of the present invention.

Referring to FIG. 1, an insolation estimation apparatus 100 according to an embodiment of the present invention includes an input unit 110, a cloud region detection unit 120, a generator 130, an inference unit 140, and an insolation estimating unit 150. It includes, and may further include a power generation predicting unit 160.

The input unit 110 receives a satellite image.

Here, the satellite image may be an image recorded by a sensor mounted on an artificial satellite. Satellite images can be captured through multiple channels operating at different wavelengths. Accordingly, the satellite image may include various types of images such as infrared images, water vapor images, short wave infrared images, and visible images depending on the channel.

The plurality of satellite images may include a first satellite image and a second satellite image. The first satellite image and the second satellite image may be images captured at predetermined time intervals. The predetermined time interval may be set based on the standard of the satellite or may be arbitrarily set by a user or the like. For example, the predetermined time interval may be 15 minutes or 30 minutes. The second satellite image may be an image captured later than the first satellite image. For example, if the first satellite image is an image captured at 9:00, the second satellite image may be an image captured at 9:15 after a predetermined time interval.

The cloud area detection unit 120 detects a cloud area from a satellite image.

The generation unit 130 generates a fluid path corresponding to the observation point based on at least one of a satellite image and a numerical weather prediction (NWP).

Specifically, the generator 130 may generate an atmospheric vector field corresponding to the satellite image based on at least one of a satellite image and a Numerical Weather Prediction (NWP). In addition, the generator 130 may generate at least one of a pathline, a streakline, and a streamline connected to the observation point based on the atmospheric vector field. In addition, the generation unit 130 may form a fluid trajectory from the atmospheric vector included in the atmospheric vector field, and generate at least one of a flow line, a streamline, and a streamline through a fluid trajectory intersecting with an observation point among the fluid trajectories. .

The inference unit 140 infers a moving path of a future period for the cloud area based on the cloud area and the fluid path.

Specifically, the inference unit 140 may select a cloud region that intersects the fluid path corresponding to the observation point. In addition, the inference unit 140 may infer a movement path of the detected cloud region according to a fluid path crossing the selected cloud region.

The insolation estimating unit 150 estimates the insolation at the observation point based on the moving path of the future period with respect to the cloud region.

Specifically, the insolation estimating unit 150 may estimate a passage point at which the detected cloud region passes through the observation point using a movement path of the detected cloud region and a fluid path corresponding to the observation point. In addition, the insolation amount estimating unit 150 may estimate the amount of insolation in the future period at the observation point based on the time of passage.

The generation amount prediction unit 160 may predict the amount of solar power generation based on the estimated amount of insolation.

In this case, the power generation amount prediction unit 160 may predict the amount of solar power generation based on the estimated amount of insolation and the standard information of the photovoltaic power generation facility disposed at the observation point.

The insolation estimating apparatus 100 according to an embodiment of the present invention is provided through an apparatus including a computing configuration (eg, a central processing unit, etc.) such as a server or a personal computer. Can be implemented.

2 is a flowchart of a method for estimating solar radiation according to an embodiment of the present invention.

Referring to FIG. 2, first, the input unit 110 receives a satellite image (S210).

Then, the cloud region detection unit 120 detects a cloud region from the satellite image (S220).

Then, the generation unit 130 generates a fluid path corresponding to the observation point based on at least one of a satellite image and a numerical weather prediction (NWP) (S230).

Next, the reasoning unit 140 infers a moving path of a future period for the cloud area based on the cloud area and the fluid path (S240).

In addition, the solar radiation estimating unit 150 estimates the solar radiation at the observation point based on the moving path of the future period with respect to the cloud region (S250).

In addition, the generation amount predictor 160 may predict the amount of solar power generation based on the estimated amount of insolation after estimating the amount of insolation (S260).

A more detailed description of the insolation estimating apparatus 100 and the insolation estimating method will be described in detail below with reference to FIGS. 3 to 9.

3 is a diagram illustrating a process of detecting a cloud region according to an exemplary embodiment of the present invention.

The cloud region extraction unit according to an embodiment of the present invention may extract a cloud region from a plurality of satellite images.

Referring to an embodiment of cloud region extraction with reference to FIG. 3, first, the cloud region extraction unit may divide a plurality of satellite images into windows of a preset size. Accordingly, regions of the plurality of satellite images may be divided into grids at regular intervals as shown in FIG. 3. The preset size, which is the size of the window, can be changed by a person skilled in the art in consideration of the resolution of the image. For example, the size of the window may be set to a size such as 8x8 to 32x32 pixels.

Here, a window of the same preset size may be applied to each of the plurality of satellite images. For example, a window of the same preset size may be applied to a first satellite image and a second satellite image included in a plurality of satellite images. Accordingly, regions divided by the window in the first satellite image and the second satellite image may be the same.

After dividing a plurality of satellite images into a window having a preset size, the cloud region extracting unit may determine whether a cloud exists for each divided region of the satellite image divided by a window having a preset size.

Specifically, the cloud region extractor may determine whether a cloud exists in the divided region based on pixel information on the divided region. In this case, the pixel information may include a brightness value, a reflectivity, a blue sky index, and the like.

In an embodiment, the cloud region extractor may determine whether a cloud exists in the divided region through analysis of each pixel included in the divided region. For example, when the preset size is an 8x8 pixel size, 64 pixels may be included in each of the divided regions, and each of the 64 pixels may have a blueness index. The cloud region extractor may compare the blue sky index of 64 pixels with a preset threshold, and then detect the number of pixels having the blue sky index lower than the threshold value. In addition, when the number of detected pixels is 50% or more, the cloud region extraction unit may determine that a cloud exists in the divided region. If not, the divided area may be determined as an undetected area. Although the blue sky index has been described as an example, the reflectivity of light or the brightness value of a pixel may be used, or a combination thereof may be used. The design of the threshold value or the reference number of pixels used to determine the presence or absence of a cloud can be changed by a person skilled in the art in consideration of the type of pixel information.

In another embodiment, the cloud region extractor may determine whether a cloud exists in the divided region based on an average value of pixel information of each pixel included in the divided region. For example, the cloud region extraction unit may detect the presence or absence of a cloud by comparing a clear sky index (CSI) for each divided region with a preset threshold. The cloud region extraction unit may determine that a cloud is detected in the divided region when the clearness index for the corresponding region is less than a preset threshold. As another example, the cloud region extractor may determine that a cloud is detected in the divided region if the average brightness value of the divided region in the visible image is greater than or equal to a threshold value. As another example, the cloud region extractor may determine that a cloud is detected in the divided region if a difference value between the average brightness value of the divided region in the visible image and the average brightness value of the divided region in the infrared image is greater than or equal to a threshold value.

FIG. 4 is a detailed flowchart illustrating step S230 of FIG. 2.

Referring to FIG. 4, the generation unit 130 may generate an atmospheric vector field corresponding to a satellite image based on at least one of a satellite image and a numeric weather prediction (NWP) (S231).

Then, the generation unit 130 may generate at least one of a pathline, a streakline, and a streamline connected to the observation point based on the atmospheric vector field (S232). Specifically, the generation unit 130 may form a fluid trajectory from the atmospheric vector included in the atmospheric vector field, and generate at least one of a flow line, a flow line, and a streamline through a fluid trajectory connected to an observation point among the fluid trajectories. have.

5 is a view for explaining a process of generating a fluid path according to an embodiment of the present invention.

First, the generation unit 130 may generate an atmospheric vector field corresponding to a satellite image based on at least one of a satellite image and a Numerical Weather Prediction (NWP).

According to an embodiment, the generator 130 may calculate a cloud movement vector for a corresponding cloud region by comparing the cloud region of the first satellite image with the cloud region of the second satellite image corresponding thereto. The generation unit 130 calculates a correlation degree of a cloud region corresponding to each other between a plurality of satellite images, and calculates a cloud movement vector based on the displacement at the point with the highest correlation and the shooting time interval between the plurality of images. can do. In this case, the correlation can be calculated in various ways. For example, the generation unit 130 may select a plurality of target particles in the cloud region and calculate a correlation according to the degree of matching of the target particles while moving the cloud region along the x-axis and y-axis. The target particle may be at least one pixel, and the target particle may be selected through a comparison of a clearness index and a threshold value of the pixel. According to another embodiment, the generation unit 130 may extract a boundary of a cloud shape in a cloud region and compare it, or extract a feature point for a cloud and compare it to calculate a correlation. Then, when the correlation is calculated, the generation unit 130 may calculate a displacement corresponding to the point with the highest correlation. Further, the generation unit 130 may calculate a cloud movement vector for a cloud region based on the calculated displacement and a time difference between the plurality of satellite images, and may generate an atmospheric vector field through the cloud movement vector.

According to another embodiment, the generation unit 130 may generate an atmospheric vector field from a numerical weather forecast. Numerical weather forecast is a series of processes that analyze the current atmospheric conditions and quantitatively predict the future atmospheric conditions by continuously numerically integrating governing equations on the mechanics and physical principles of atmospheric phenomena using a computer, and information generated through them. Can mean According to an embodiment of the present invention, the input numerical weather forecast may be information corresponding to a time when a plurality of satellite images are captured. The numerical weather forecast may be information at a time when a plurality of satellite images are captured or information at a time adjacent to the captured time. The numerical weather forecast may include information on the wind field, and the generation unit 130 may generate an atmospheric vector field through the wind field of the numerical weather forecast.

In addition to the above-described embodiment, an atmospheric vector field may be generated based on a cloud motion vector generated from a satellite image and a wind field of a numerical weather forecast. For example, the generation unit 130 may generate an atmospheric vector field based on a cloud motion vector generated through a satellite image, but by applying a wind field of a numerical weather forecast to an area in which the cloud motion vector is not generated. have.

As shown in FIG. 5, the generated atmospheric vector field may include a plurality of atmospheric vectors. According to an embodiment, the atmospheric vector field may be implemented by arranging wind vectors according to a predetermined grid system. For example, the atmospheric vector field may be implemented based on an Arakawa B grid in which a wind vector is positioned between grid points. In this case, the grid may have the same size as the divided region obtained by dividing the satellite image by the cloud region extraction unit, but is not limited thereto, and may be implemented in various sizes.

The generation unit 130 may generate a fluid path passing through the observation point based on the atmospheric vector field generated as described above. For example, referring to FIG. 5, the generation unit 130 may generate a fluid path (B) connected to the observation point (A) by using a plurality of atmospheric vectors to which the observation point (A) and flow are connected. have. In FIG. 5, only one fluid path is shown for convenience of description, but a plurality of fluid paths may be generated according to the atmospheric vector field.

6 is a detailed flowchart illustrating step S240 of FIG. 2.

Referring to FIG. 6, the inference unit 140 may select a cloud region that intersects the fluid path corresponding to the observation point (S241).

Then, the inference unit 140 may infer the movement path of the detected cloud region according to the fluid path crossing the detected cloud region (S242).

7 is a diagram for explaining a process of inferring a moving path of a cloud region according to an embodiment of the present invention.

The inference unit 140 may detect a cloud region that intersects by tracking a fluid path corresponding to the observation point, and then infer a movement path of the detected cloud region.

As shown in FIG. 7, it is assumed that the detection unit detects a cloud area (i), a cloud area (ii), and a cloud area (iii) from a satellite image. In addition, it is assumed that the generation unit 130 has generated a fluid path B corresponding to the observation point A.

If the fluid path (B) corresponding to the observation point (A) is traced, it can be seen that the cloud region (i) and the fluid path (B) intersect each other. On the other hand, it can be seen that the cloud region (ii) and the cloud region (iii) do not intersect with the fluid path (B). Accordingly, the inference unit 140 may select a cloud region i that intersects the fluid path B. Then, the reasoning unit 140 may infer the movement path of the cloud region i according to the fluid path B.

In FIG. 7, for convenience of explanation, only one fluid path B is shown for the observation point A, but a plurality of fluid paths may exist for the observation point A. In addition, although the area of the observation point is shown to be smaller than the area of the cloud area in FIG. 7, the area of the observation point may be larger than the area of the cloud area.

FIG. 8 is a detailed flowchart illustrating step S250 of FIG. 2.

Referring to FIG. 8, first, the insolation estimating unit 150 may estimate a transit time point at which the detected cloud region passes through the observation point using a movement path of the detected cloud region and a fluid path corresponding to the observation point. (S251).

Then, the insolation amount estimating unit 150 may estimate the amount of insolation in the future period at the observation point based on the time of passage (S252).

9 is a diagram for describing a process of estimating solar radiation according to an embodiment of the present invention.

The insolation estimating unit 150 may estimate a time point at which the cloud region passes through the observation point based on the movement path and the fluid path of the cloud region. Accordingly, the solar radiation estimating unit 150 may estimate the solar radiation at the observation point according to the passing time of the cloud region.

For example, assume three points (P ₁ , P ₂ , P ₃ ) in the fluid path B of FIG. 9. The three points may mean the location of the cloud at a specific time according to the cloud's moving path. In this case, the distance between the three points and the observation point A may be a distance that the cloud moves for a predetermined time t. The time the cloud moves from the point (P ₁ ) to the point (P ₂ ), the time from the point (P ₂ ) to the point (P ₃ ), and the time from the point (P ₃ ) to the observation point (A) are All may be the same at a predetermined time (t).

Assuming that the predetermined time (t) is 1 hour, the cloud located at the observation point (A) was located at the point (P ₃ ) 1 hour ago, was located at the point (P ₂ ) 2 hours ago, and 3 hours ago It can be expected that it is located at (P _{3 ).} If this is interpreted in reverse, _{the cloud located at the point (P 3} ) is located at the observation point (A) 1 hour later, and the cloud located at the point (P ₂ ) is located at the observation point (A) 2 hours later. It can be estimated that the cloud located at (P ₃ ) is located at the observation point (A) after 3 hours. Assuming that the change in the atmospheric vector field is not large, it can be assumed that the change in the fluid path is also not large, so the above relationship can be applied.

In this way, the insolation estimating unit 150 may _{estimate the passing point at which the cloud region at the current point P 1} passes through the observation point A, and may estimate the insolation amount of a future period at the observation point.

Meanwhile, the above-described solar radiation estimation method can be implemented as a computer-readable program (code) on a computer-readable recording medium. The computer-readable recording medium includes all types of recording devices that store data that can be read by a computer system. Examples of computer-readable recording media include ROM, RAM, CD-ROM, magnetic tapes, floppy disks, optical data storage devices, etc., and also implemented in the form of a carrier wave (for example, transmission through the Internet). Includes. In addition, the computer-readable recording medium can be distributed over a computer system connected through a network to store and execute computer-readable codes in a distributed manner.

The term'~ unit' used in this embodiment refers to software or hardware components such as field-programmable gate array (FPGA) or ASIC, and'~ unit' performs certain roles. However,'~ part' is not limited to software or hardware. The'~ unit' may be configured to be in an addressable storage medium, or may be configured to reproduce one or more processors. Thus, as an example,'~ unit' refers to components such as software components, object-oriented software components, class components, and task components, processes, functions, properties, and procedures. , Subroutines, segments of program code, drivers, firmware, microcode, circuits, data, databases, data structures, tables, arrays, and variables. Components and functions provided in the'~ units' may be combined into a smaller number of elements and'~ units', or may be further separated into additional elements and'~ units'. In addition, components and'~ units' may be implemented to play one or more CPUs in a device or a security multimedia card.

Although the embodiments have been described above, these are only examples and do not limit the present invention, and those of ordinary skill in the field to which the present invention belongs are not exemplified above without departing from the essential characteristics of the present embodiment. It will be seen that various modifications and applications are possible. For example, each component specifically shown in the embodiment can be modified and implemented. And differences related to these modifications and applications should be construed as being included in the scope of the present invention defined in the appended claims.

100: insolation estimating device
110: input unit
120: cloud area detection unit
130: generation unit
140: reasoning unit
150: Insolation estimation unit
160: generation amount prediction unit

Claims (13)

An input unit that receives satellite imagery,
A cloud region detection unit that detects a cloud region from the satellite image,
A generator for generating a fluid path corresponding to an observation point based on at least one of the satellite image and a numerical weather prediction (NWP),
An inference unit for inferring a movement path of a future period for the cloud region based on the cloud region and the fluid path, and
Insolation estimating device comprising an insolation amount estimating unit for estimating the amount of insolation at the observation point based on a movement path of a future period with respect to the cloud region. The method of claim 1,
The generation unit,
An atmospheric vector field corresponding to the satellite image is generated based on at least one of a satellite image and a numerical weather prediction (NWP),
An insolation estimation apparatus for generating at least one of a pathline, a streakline, and a streamline connected to the observation point based on the atmospheric vector field. The method of claim 2,
The generation unit,
A fluid trajectory is formed from an atmospheric vector included in the atmospheric vector field, and at least one of the trace line, a streamline, and a streamline is generated through a fluid trajectory intersecting with the observation point among the fluid trajectories. The method of claim 1,
The reasoning unit,
Selecting the cloud region intersecting the fluid path corresponding to the observation point,
An insolation estimating device for inferring a movement path of the selected cloud region according to a fluid path connected to the selected cloud region. The method of claim 4,
The insolation estimating unit,
Estimating a time point at which the selected cloud region passes through the observation point using a moving path of the selected cloud region and a fluid path corresponding to the observation point,
An insolation estimating device for estimating insolation in a future period at the observation point based on the passing time. The method of claim 1,
Insolation estimating device further comprising a generation amount predicting unit for predicting the amount of solar power generation based on the estimated amount of insolation. Step of receiving satellite image input,
Detecting a cloud region from the satellite image,
Generating a fluid path corresponding to an observation point based on at least one of the satellite image and numerical weather prediction (NWP),
Inferring a movement path of a future period for the cloud region based on the cloud region and the fluid path, and
And estimating the amount of insolation at the observation point based on a movement path of the future period with respect to the cloud region. The method of claim 7,
Generating a fluid path corresponding to the observation point,
Generating an atmospheric vector field corresponding to the satellite image based on at least one of a satellite image and a Numerical Weather Prediction (NWP), and
And generating at least one of a pathline, a streakline, and a streamline connected to the observation point based on the atmospheric vector field. The method of claim 8,
Generating a fluid path corresponding to the observation point,
Insolation estimation method for forming a fluid trajectory from an atmospheric vector included in the atmospheric vector field, and generating at least one of the trace line, a streamline, and a streamline through a fluid trajectory intersecting with the observation point among the fluid trajectories. The method of claim 7,
Inferring the movement path of the future period,
Selecting the cloud region intersecting the fluid path corresponding to the observation point, and
And inferring a movement path of the selected cloud region according to a fluid path connected to the selected cloud region. The method of claim 10,
The step of estimating the amount of insolation,
Estimating a transit point at which the selected cloud region passes through the observation point using a moving path of the selected cloud region and a fluid path corresponding to the observation point, and
And estimating the amount of insolation in a future period at the observation point based on the time of passage. The method of claim 7,
The solar radiation estimation method further comprising predicting the solar power generation amount based on the estimated solar radiation amount. A recording medium storing a computer-readable program for executing the method of any one of claims 7 to 12.

Images