JP2014149213A - Photovoltaic generation potential evaluation device and photovoltaic generation potential evaluation program - Google Patents

Abstract

PROBLEM TO BE SOLVED: To provide a photovoltaic generation potential evaluation device and photovoltaic generation potential evaluation program by solving conventional problems, that is, by conducting quantitative evaluation based on numeric information indicating the state of a cultivation abandoned site, by accurately extracting a cultivation abandoned site suitable for the installation of a photovoltaic generation facility, and also evaluating the photovoltaic generation potential of the extracted cultivation abandoned site.SOLUTION: A photovoltaic generation potential evaluation device according to the present invention comprises: surface layer model storing means; earth surface model storing means; abandoned section area storing means; covered object height calculation means; statistical processing means; statistic value collation means; candidate side categorizing means; and potential evaluation means. Of the means, the statistic value collation means compares a height threshold and the average value of the covered object heights, and further compares a standard deviation threshold value and the standard deviation of the covered object heights. The candidate site categorizing means categorizes the abandoned section area as a candidate site or a non-candidate site based on the result of the collation made by the statistic value collation means.

Description

  The present invention relates to a technology for evaluating the potential of solar power generation. More specifically, the present invention accurately selects an abandoned farmland that can be used, and also determines the potential of solar power generation for the selected abandoned farmland. The present invention relates to a solar power generation potential evaluation apparatus and a solar power generation potential evaluation program to be evaluated.

  Japan's agricultural land area has decreased significantly compared to the 1950s. In the decades since the end of the war, about 1.05 million ha of farmland has been expanded by land reclamation and reclamation, etc., but as a result of being diverted to industrial land, roads, or residential land, about 2.55 million ha of farmland has been crushed. Because it was abolished, farmland that had been secured over 6 million ha in the Showa 30s has now decreased to about 4.6 million ha.

  In addition to the decrease in the area of farmland in this way, the food consumption situation of Japanese people has changed significantly, and the food self-sufficiency rate, which had been secured at around 73% around 1965, is now around 40%. It is falling. This figure is said to be the lowest level among developed countries, and against the backdrop of destabilization of the international food situation, the country regards the improvement of food self-sufficiency as an urgent issue, and is committed to securing farmland and encouraging farming. Is pouring.

  As the reason for the decrease in farmland, the conversion to non-farmland mentioned above accounts for 55% of the total, followed by “abandonment of farming”, which accounts for about 44% of the total. Therefore, the country has tightened diversion regulations to prevent the decline of farmland and promotes the reuse of abandoned farmland. Specifically, subsidies are provided for expenses necessary for farming, such as the creation of soil for rough farmland, the introduction of agricultural machinery, and the development of agricultural drainage facilities.

  "Abandoned farmland" is literally abandoned farmland, but in the agricultural census, it was previously a cultivated land, and it has not been cultivated over the past year, and will be cultivated again in the past few years. It is clearly defined as “land without land” and is distinguished from “fallow land” with the intention of cultivation. In addition, although there is a term “idle farmland” used in the same meaning, this is defined by the Farmland Law (Article 32) and is slightly different from “abandoned farmland” on the agricultural census. However, here it is assumed to be “abandoned farmland” including “idle land”.

  Abandoned cultivated land is set in units of lot numbers (so-called “one-stroke”) and is self-reported by farmers and other rights holders. In other words, the results of the agricultural census are the results of aggregation based on the subjectivity of farmers and the like, and do not indicate the land area that can be cultivated. Therefore, in accordance with the Agricultural Land Law (Article 30, Paragraph 1), the national government conducts an “Agricultural Land Survey” once a year. This survey will be conducted by the municipality / agricultural committee in the area where farming is abandoned, and the results will be recorded on a map. As a result of this survey, abandoned cultivated land by self-reporting is simply uncultivated cultivated land, land that can be easily restored to cultivation, land that can be restored to cultivation by infrastructure development, etc., and restoration to cultivation is impossible Classified as land.

  As a matter of course, the results of the survey of the abandoned farmland as a whole include the cultivatable areas larger than the results of the agricultural census. For example, looking at the results in 2010, about 400,000 aha abandoned cultivated land was recorded in the Agricultural Census, while about 190,000 ha of the abandoned cultivated land survey was “non-agricultural land”, about 15 Ten thousand ha is regarded as “land that can be restored to farming” and “land that cannot be restored to farming” is only about 60,000 ha.

  The national government has inspected the entire abandoned farmland and is instructing to restore most of the land that can be reconstructed to farmland as well as “non-agricultural land” to resume farming. On the other hand, since it is difficult to resume farming for some of the “land that can be restored to farming”, “land that cannot be restored to farming” and “land that has been converted to wilderness,” renewable energy production can be used as another application. Recommended for land use.

  Under such a background, technologies relating to photovoltaic power generation using abandoned farmland including Patent Document 1 and Patent Document 2 have been proposed.

JP 2012-239370 A JP2012-122320A

  As described above, the survey of the abandoned cultivated land is to select the land that can be cultivated in reality by reviewing the land that has been abandoned by the will of farmers and others. However, since this survey uses visual observation, individual differences are easily predicted for each investigator, and this is not necessarily an objective survey result. Originally, it would be desirable to make quantitative judgments based on some numerical information. However, methods for making such quantitative judgments and obtaining such numerical information have also been proposed. There is no current situation. For example, if you acquire measurement information such as the height of herbs planted on the land, variation in the height, or the area occupied by herbs by height, and quantitatively evaluate based on the results, Objective evaluation is possible by eliminating individual differences among investigators, traceability is ensured, and accountability can be met.

  Because the current survey of abandoned cultivated land is difficult to say as an objective and quantitative evaluation, it is actually `` land that can not be cultivated and restored '' despite being `` land that can be cultivated and restored '' Or vice versa, and may not be classified correctly. As a result, it is extremely difficult to actually restore land that has been evaluated as “land that can be restored to farming,” or even though it is actually “land that can be restored to farming.” There is a concern that various problems may occur.

  In addition, there is a problem from the standpoint of setting up a production facility for renewable energy such as solar power on “land that cannot be reconstructed.” Since the agricultural census and the survey of abandoned farmland are aimed at restoring farmland, land that has been assessed as “land that cannot be restored to farming” will not be further classified. However, among “land that cannot be reconstructed”, there are land where renewable energy production facilities are easy to install and difficult, or land with high or low photovoltaic power generation potential. It is difficult to evaluate. Therefore, when planning a photovoltaic power generation facility on “land where cultivation cannot be restored”, it is necessary to conduct a field survey again. In other words, it is possible to point out the problem that the previous survey cannot be used and a double survey must be conducted.

  As described above, if numerical information representing the state of abandoned cultivated land is acquired and a method of evaluation based on this numerical information is established and adopted, objectively `` land where cultivation can be restored '' or `` cultivated restoration '' In addition to being able to be evaluated as “land impossible”, it is also possible to accurately evaluate whether it is suitable for the installation of solar power generation facilities. Furthermore, if the potential of photovoltaic power generation can be evaluated based on the area and the amount of solar radiation in the area for land that has been evaluated as suitable for the installation of solar power generation facilities, the layout plan for solar power generation facilities in abandoned farmland It is extremely useful when planning.

  The subject of the present invention is to solve the above-mentioned problem, that is, quantitative evaluation is performed based on numerical information representing the state of abandoned farmland, and abandoned farmland suitable for installation of photovoltaic power generation facilities is accurately extracted. Another object of the present invention is to provide a photovoltaic power generation potential evaluation device and a photovoltaic power generation potential evaluation program for evaluating the photovoltaic power generation potential of the extracted abandoned farmland.

  The present invention focuses on the point of selecting an appropriate candidate site for photovoltaic power generation by using a terrain model based on three-dimensional spatial information such as DSM and DEM and statistically processing the obtained data. It is an invention made based on an idea that has not existed before.

  The photovoltaic power generation potential evaluation apparatus according to the present invention includes a surface layer model storage means, a ground surface model storage means, an abandoned segment area storage means, a covering height calculation means, a statistical processing means, a statistical value comparison means, a candidate land classification means, a potential evaluation The contents of each means are as shown below. The surface model storage means stores a surface layer model representing the surface shape of the target area in three dimensions, and the surface model storage means stores a surface model obtained by removing the covering from the surface model, and The abandonment division area storage means stores an area that is abandoned cultivation in the target area as a “abandonment division area”. The covering height calculation means calculates the height of the covering in the abandoned section area as the covering height based on the surface layer model and the ground surface model. The statistical processing means calculates the covering height for each abandoned section area. The average value of the height and the standard deviation are calculated, and the statistical value matching means compares the preset height threshold value with the average value of the covering height and sets the preset standard deviation threshold value and the covering height. The standard deviation is compared. Further, the candidate land classification means selects the abandoned area as a candidate land or a non-candidate land based on the collation result by the statistical value matching means, and the potential evaluation means The potential of photovoltaic power generation is evaluated based on conditions including the area of the abandoned section and the amount of solar radiation.

  The photovoltaic power generation potential evaluation apparatus of the present invention can further include a height classification storage means, a height classification means, and a partial region setting means. The height classification storage means stores two or more height classifications divided within a predetermined range, and the height classification means assigns the coating height calculated by the coating height calculation means to the height classification, respectively. The partial area setting means divides the abandoned divided area into two or more partial areas based on the covering height classified by the height classification means. In this case, the covering height calculation means calculates the height of the covering in the abandoned section area as the covering height based on the surface layer model and the ground surface model, and calculates the plane position where the covering height is calculated as the covering height. Let it be a point. Then, the statistical processing means calculates the average value and standard deviation of the covering height for each partial area, the candidate land classification means selects candidate areas or non-candidate areas for the partial areas, and the potential evaluation means further includes: Evaluate the potential of photovoltaic power generation for the candidate areas. The partial area setting means is a set of a plurality of covering points based on the respective plane positions with respect to the covering points having the covering heights classified in the same height section in the same abandonment dividing area. A region is formed, and if the area of the collective region is a predetermined area or more, it is specified as a partial region.

  In the photovoltaic power generation potential evaluation apparatus of the present invention, the partial region setting means may form the aggregate region by cluster analysis based on the distance between the plurality of covering points.

  In the photovoltaic power generation potential evaluation apparatus of the present invention, the partial region setting means creates a height image based on the covering height of the covering point, and forms a collecting region by a labeling process based on the height image. You can also

  The photovoltaic power generation potential evaluation apparatus of the present invention may further include a grade providing means. The grade assigning means assigns a grade set in advance to 2 or more based on the average value and / or standard deviation of the covering height to the abandoned section area determined as the candidate place by the candidate place classifying means. . In this case, the potential evaluation means evaluates the potential of photovoltaic power generation by adding the grade to the condition.

  The photovoltaic power generation potential evaluation program of the present invention includes a surface layer model reading process, a ground surface model reading process, an abandoned segment area reading process, a covering height calculation process, a statistical process, a statistical value matching process, a candidate land classification process, and a potential evaluation process. The contents of each processing are as follows. The surface model reading process is a process of reading a surface layer model representing the surface shape of the target area in three dimensions, and the surface model reading process is a process of reading the surface model from which the covering is removed from the surface model, and further, the abandoned section area The reading process is a process of reading an “abandoned section area” as an area that is abandoned farming in the target area. In addition, the cover height calculation process calculates the height of the cover in the abandoned section area as the cover height based on the surface layer model and the ground model, and the statistical process calculates the cover height for each abandoned section area. The process for calculating the average value and the standard deviation, the statistical value collation process, compares the preset height threshold value with the average value of the covering height, and compares the preset standard deviation threshold value with the standard deviation of the covering height. Is a process for comparing. Further, the candidate site classification process is a process of selecting the abandoned segment area as a candidate site or a non-candidate site based on the collation result by the statistical value collation process, and the potential evaluation process is performed on the abandoned segment area that is the candidate site. This is a process for evaluating the potential of photovoltaic power generation based on conditions including the area of the abandoned section area and the amount of solar radiation.

  The photovoltaic power generation potential evaluation program of the present invention may further include a height classification reference process, a classification process by height, and a partial area setting process. The height classification reference process is a process for referring to two or more height classifications divided within a predetermined range, and the height classification process is for each of the coating heights calculated by the coating height calculation process. The partial area classification process and the partial area setting process are processes for dividing the abandoned segment area into two or more partial areas based on the covering height classified by the height classification process. In this case, the covering height calculation processing calculates the height of the covering in the abandoned segment area as the covering height based on the surface layer model and the ground surface model, and calculates the plane position where the covering height is calculated as the covering height. It is a process to make a point. The statistical process is a process for calculating the average value and standard deviation of the covering height for each partial area. The candidate site classification process is a process for selecting a candidate site or a non-candidate site for the partial region, and further, potential evaluation. The process is a process for evaluating the potential of solar power generation for the partial area that is a candidate site. The partial area setting process is a set of a plurality of covering points based on respective plane positions with respect to covering points having covering heights classified in the same height section in the same abandonment dividing area. A region is formed, and if the area of the collective region is a predetermined area or more, it is specified as a partial region.

  In the photovoltaic power generation potential evaluation program of the present invention, the partial region setting process may form a collection region by cluster analysis based on a distance between a plurality of covering points.

  In the photovoltaic power generation potential evaluation program of the present invention, the partial area setting process creates a height image based on the covering height of the covering point, and forms a collecting area by a labeling process based on the height image. You can also

  The photovoltaic power generation potential evaluation program of the present invention may further include a grade assignment process. The grade assigning process is a process for assigning a grade set in advance to 2 or more based on the average value and / or standard deviation of the covering height to the abandoned segment area determined as the candidate site by the candidate site classification process. . In this case, the potential evaluation process is a process for evaluating the potential of photovoltaic power generation by adding a grade to a condition.

The solar power generation potential evaluation apparatus and the solar power generation potential evaluation program of the present invention have the following effects.
(1) The photovoltaic power generation potential of abandoned farmland can be evaluated at once for a wide target area. For example, it is possible to evaluate the photovoltaic power generation potential of abandoned cultivated land over the entire administrative area, which is efficient and versatile.
(2) Since the evaluation is based on “three-dimensional spatial information” representing the state of abandoned farmland, the result is quantitative and objective, ensures traceability, and can meet accountability.
(3) Since the evaluation is quantitative as described above, a candidate site for photovoltaic power generation can be extracted relatively accurately. As a result, abandoned farmland that should be restored as farmland can be appropriately excluded from the “candidate land”.
(4) Since the lot numbers that are abandoned farmland are not evaluated as a single region, but are evaluated for a certain area within the lot number, it is possible to extract candidate sites for photovoltaic power generation without omission .
(5) The facility planner can obtain extremely useful site selection information by evaluating not only candidate sites for installing the photovoltaic power generation facility but also evaluating the photovoltaic power generation potential.

Explanatory drawing which shows the measurement condition by an aviation laser. The model figure explaining "surface". The model figure explaining "the ground surface". The flowchart which shows the basic flow of this invention. Model diagram showing the state where the abandoned area is overlaid on the surface model (surface model) The flow figure which shows the detail of the flow which classifies an abandoned district part area into either a candidate site or a non-candidate site. The flow figure which shows the flow which classifies a candidate site into 2 grades or more simultaneously with classifying an abandoned district part area into either a candidate site or a non-candidate site. (A) is a model top view explaining the case where various coverings exist in one cultivation abandoned land, (b) is a model side view explaining the case where various coverings exist in one cultivation abandoned land. The flowchart which shows the flow in the case of performing candidate site classification | category for every partial area | region. The model figure which shows the height division table comprised by ten height divisions. The model figure shown as extracting only the covering point to which the predetermined | prescribed height division was provided among the covering points in the abandonment district part area | region. The flowchart which shows the flow which sets a partial area | region by clustering analysis. Explanatory drawing showing the result of having calculated the distance between clusters when there are n clusters. The model figure explaining the "longest distance method" which calculates | requires the distance between clusters. The model figure which shows the example of a dendrogram. (A) is a model figure which shows the direction which an object mesh refers in a labeling process, (b) is a model figure which shows the group formed by the labeling process.

  An example of an embodiment of a photovoltaic power generation potential evaluation apparatus and a photovoltaic power generation potential evaluation program according to the present invention will be described with reference to the drawings.

1. Overview of the present invention The present invention is intended for a plurality of abandoned cultivated land in a certain wide area (hereinafter referred to as “target area”) such as municipalities and prefectures, for example. It is something to evaluate. Since a plurality of abandoned farmland are handled at a time, three-dimensional spatial information representing the topography is used. Therefore, first, three-dimensional spatial information will be described.

  The three-dimensional spatial information is information composed of points, lines, surfaces, or combinations thereof having plane coordinate values and height information. Further, the plane coordinate value is represented by latitude and longitude or X and Y coordinates, and the height means a vertical distance from a predetermined reference horizontal plane such as an altitude. This three-dimensional spatial information can be created by various means. For example, it can be created based on a set of two stereo aerial photographs (satellite photographs), created by aerial laser measurement or satellite radar measurement, or can be created by surveying the site directly.

  FIG. 1 is an explanatory diagram showing a measurement situation by an aviation laser. As shown in this figure, the aviation laser measurement is performed by flying the aircraft 2 over the terrain 1 to be measured and receiving the reflection of the laser 3 irradiated on the terrain 1 during the flight. According to this method, three-dimensional spatial information composed of many point groups can be acquired by one measurement.

  The three-dimensional spatial information created on the basis of stereo aerial photographs and aerial laser measurements usually represents a “surface”. Here, as shown in FIG. 2, the surface means an upper surface of a feature existing on the ground such as a green cover or a building such as a farmland or a forest (hereinafter collectively referred to as a “cover”). On the other hand, as shown in FIG. 3, the “ground surface” means a surface after the covering is removed, that is, a so-called ground surface. Here, for convenience, the “surface model” representing the “surface” with the three-dimensional spatial information is referred to as the “surface model”, and the “surface model” representing the “ground surface” with the three-dimensional spatial information is referred to as the “ground model”. As a representative surface model, DSM (Digital Surface Model) is known, and as a typical surface model, DTM (Digital Terrain Model) is known.

  In order to create a ground surface model, a process of removing a covering from the surface layer model, a so-called filtering process is performed. The filtering process is a widely known technique, and recognizes and removes a material that satisfies a predetermined condition as a coating. This process is generally executed by a computer using general-purpose software.

  Next, an outline of the present invention will be described. The present invention calculates the height of the covering (hereinafter referred to as “covering height”) in the abandoned cultivated land, and is based on the average height (hereinafter simply referred to as “candidate”). Or land that is not suitable for installation of photovoltaic power generation (hereinafter simply referred to as “non-candidate land”). Non-candidate land can also include “land where cultivation can be restored”.

  However, if only the average value of the cover height is selected, the abandoned cultivated land if the average value is the same when the cover height is uniform to some extent and the height of the cover is extremely uneven. Will be the same result. If the average value of the coating height is low and almost uniform with no variation, and the average value of the coating height is low but the variation is large and there is an extremely high coating, the former is naturally more a candidate. Suitable for the ground. On the other hand, if the latter is selected as a candidate site because the average value of the covering height is low, it is expected that the situation will be difficult at the implementation stage. In other words, the latter should be selected as a non-candidate site. From the above, in the present invention, the candidate site and the non-candidate site are classified using the combination of the average value of the covering height and the standard deviation as an index.

  If the candidate land or the non-candidate land classification can be made for the abandoned farmland in the target area, the potential of photovoltaic power generation is evaluated for the next selected candidate land. The potential of solar power generation can be generally expressed by the product of the light collection area and the amount of unit solar radiation (hereinafter simply referred to as “the amount of solar radiation”). Therefore, even in the present invention, the evaluation was made based on the area of the abandoned farmland selected as the candidate site and the amount of solar radiation in the region. The amount of solar radiation for each region is referred to, for example, the “average annual amount of solar radiation with the optimum annual inclination angle” described in “New Energy and Industrial Technology Development Organization [Ed.] NEDO Renewable Energy Technology White Paper”. can do.

  Hereinafter, each element will be described in detail based on the flowchart of FIG. 4 showing the basic flow of the present invention. In this figure, actions (processes, processes, means) to be performed are shown in the center column, input information necessary for the action is shown in the left column, and output information generated from the action is shown in the right column. The technical content of the present invention will be described using an example of a solar power generation potential evaluation apparatus, and the content specific to the solar power generation potential evaluation program will be described later.

2. Cover height calculation (surface model storage means and ground model storage means)
Using the 3D space model obtained as a result of measuring the target area as input information, a surface layer model is created in the surface layer model creating step (Step 10) and stored in the surface layer model storage means. Similarly, using the 3D space model of the target area as input information, a ground surface model is created in the ground surface model creation step (Step 20) and stored in the ground surface model storage means. As described above, the surface model can be created by filtering processing using the surface layer model as input information.

  Specifically, the surface layer model storage means and the ground surface model storage means are storage media such as a hard disk and a CD-ROM of a computer, that is, the surface layer model and the ground surface model are formed in a data format that can be processed by a computer. Note that the three-dimensional space model of the target area may be measured and acquired for the present invention, but of course, if there is a ready-made one, it can also be used. Also, the surface layer model and the ground surface model used here may be created for the present invention, or ready-made ones may be used.

(Abandonment division area storage means)
When the surface layer model and the ground surface model are prepared, the area to be abandoned farmland is set as the “abundant area area” (Step 30). Specifically, an abandoned area corresponding to a data format that can be processed by a computer (hereinafter referred to as “digital format”) is created based on the information on the abandoned farmland written on a paper medium or the like. Therefore, when information on abandoned farmland is prepared in a digital format, it can be used as an abandoned area as it is without any special processing.

  The abandoned area portion represents the outline (contour) of the abandoned farmland with at least two-dimensional spatial information, and does not necessarily have height information. In addition, as described above, the abandoned farmland is determined for each lot number (one stroke), and therefore, the abandoned area is inevitably set for each lot number (one stroke). In many cases, there are a plurality of abandoned farmland in the target area, and abandoned areas are set for all of these abandoned farmlands. A plurality of set abandonment area areas are stored in the abandonment area storage means, and the abandonment area storage means is a storage medium such as a hard disk of a computer or a CD-ROM as well as the surface model storage means and the surface model storage means. is there.

(Coating height calculation means)
When the surface layer model, the ground surface model, and the abandoned district area are prepared, the height of the covering existing in the abandoned area is calculated as “cover height” (Step 40). The surface layer model, the ground surface model, and the abandoned area are prepared for each target area (Step 10 to Step 30 in FIG. 4), but the steps after the calculation of the covering height (Step 40 to Step 80 in FIG. 4) are abandoned. Implement for each segmented area. Therefore, as shown in FIG. 4, when there are a plurality of abandoned division areas in the target area, the steps after the calculation of the covering height are repeatedly performed.

  In order to calculate the covering height in the abandoned area, the abandoned area is first overlapped with the surface model and the ground model. FIG. 5 is a model diagram showing a state where the abandoned district area is superimposed on the surface model (ground model). As shown in this figure, by superimposing the abandoned district regions, the mesh constituent points included in the abandoned district regions among the mesh constituent points (mesh grid points) of the surface layer model and the ground model become clear.

  Next, the cover height in the abandoned area is calculated based on the mesh constituent points of the surface layer model included in the abandoned area and the mesh constituent points of the ground model. Specifically, the difference between the surface model and the ground model is obtained using the height information of the mesh composing points, and this is used as the covering height. Therefore, in order to easily obtain the difference, it is desirable that the mesh constituent points of the surface layer model and the mesh constituent points of the ground surface model coincide or approximate in a plane. Further, the plane position of the point for which the covering height is obtained can be stored as a “covering point”. That is, the information indicating the planar position of the covering is “covering point”, and the information indicating the height of the covering is “covering height”. Therefore, when the mesh composing point of the surface model and the mesh composing point of the ground surface model coincide in a plane, the plane coordinates of the mesh composing point become the covering point as it is. The calculated covering height and covering point are stored in association (linked) with the abandoned district area. In FIG. 4, the mesh height in the abandoned area is extracted in advance and the cover height is calculated. However, after the cover height is calculated over the entire area, the coverage in the abandoned area is calculated. The height can also be extracted.

3. Statistical processing of coating height (statistical processing means)
Usually, there are a large number of mesh constituent points in the abandoned area, i.e. a large number of covering heights. In order to evaluate the state of the abandoned area based on these coating heights, an average value of the coating heights and a standard deviation indicating variations in the coating heights are calculated (Step 50). The average value here means the height of the covering that represents the abandoned area, and is not limited to the arithmetic average that divides the sum by the number of samples, but the median that is the center between the maximum and minimum values, The mode value having the highest frequency can be obtained, and the average value can be obtained by various methods.

  Moreover, the histogram which represented the frequency | count according to the covering height can also be created (Step 60). If this histogram is output to a display or the like, it is preferable because the variation in the coating height can be grasped visually. Moreover, after creating a histogram, the average value and standard deviation of the covering height can be calculated. For example, while confirming the output histogram, it is possible to calculate the average value and the standard deviation of the coating height after excluding values that are clearly recognized as abnormal values.

  The calculated average value and standard deviation of the covering height are stored in association with (corresponding to) the abandoned district area in the same manner as the covering height and covering point.

4). Classification of candidate sites and non-candidate sites (statistics matching means and candidate place classification means)
The average value and standard deviation of the cover height calculated for each abandoned area by the statistical value matching means are compared with the threshold values, respectively. Alternatively, it is selected as one of the non-candidate sites (Step 70). The threshold used in the statistical value matching means is preset, the threshold compared with the average value of the coating height is “height threshold λ”, and the threshold compared with the standard deviation of the coating height is “standard”. Deviation threshold γ ”.

  FIG. 6 is a flowchart showing details of the flow of classifying the abandoned district area into either a candidate site or a non-candidate site. As shown in this figure, first, it is determined whether or not the average value of the covering height is equal to or less than (or less than) the height threshold λ by the statistical value checking means (Step 71). Then, if the average value of the coating height is equal to or less than the height threshold λ (or less than), the statistical value collating means then determines whether or not the standard deviation of the coating height is equal to or less than the standard deviation threshold γ (or less). (Step 72).

  Subsequently, the candidate site classification means classifies the abandoned district area into either a candidate site or a non-candidate site. Specifically, as shown in FIG. 6, if the average value of the coating height is less than (or less than) the height threshold λ, and the standard deviation of the coating height is less than (or less than) the standard deviation threshold γ. For example, the area for the abandoned district is determined as a “candidate site”, and otherwise, it is determined as a “non-candidate site”.

(Grading means)
The candidate site classification means is not limited to the case of classifying as either a candidate site or a non-candidate site as shown in FIG. 6, and can further classify the candidate sites into two or more grades. FIG. 7 is a flowchart showing a flow of classifying candidate sites into two or more grades at the same time as classifying the abandoned district area into either candidate sites or non-candidate sites. In this case, two or more types of height thresholds λ are prepared, and the abandoned district areas are classified according to these height thresholds λ.

First, according to the average value of the covering height, a provisional grade is assigned to the abandoned district area (Step 73). In the case of FIG. 6, provisional grade A is assigned if it is less than or equal to the smallest first height threshold λ ₁ , and is the second smallest second height threshold λ ₂ or less and exceeds the first height threshold λ ₁ . In this case, provisional grade B is assigned, and provisional grade C is assigned if the second height threshold λ ₂ is exceeded. If the abandoned district area to which the provisional grade A is assigned is the standard deviation threshold γ or less, it is evaluated as a candidate site of the grade A, and if the abandoned district area to which the provisional grade B is assigned is the standard deviation threshold γ or less. For example, it is evaluated as a candidate site of grade B, and the other abandoned district areas (including those assigned provisional grade C) are non-candidate sites. Grade A candidate site is a candidate site where a solar power generation facility can be easily installed without major changes, and a grade B candidate site is installed by constructing infrastructure, etc. Can be recognized as a candidate site.

  In FIG. 7, the candidate sites are divided into two grades, but the non-candidate sites can be divided into two or more types. For example, if the abandoned area for which provisional grade A is given in FIG. 7 is equal to or less than the standard deviation threshold γ, it is evaluated as “agricultural land to be cultivated and restored” because there is almost no covering in the abandoned area. In other words, it may be a “non-candidate site” for the installation of photovoltaic power generation.

(Height classification storage means and height classification means)
So far, the explanation has been made in the case of evaluating the candidate site or the grade of the candidate site in units of abandoned districts (that is, lot numbers). However, when evaluated for each abandoned area, there are cases where this is overlooked even though it is actually an abandoned farmland suitable for installation of photovoltaic power generation facilities. FIG. 8 is a model diagram illustrating a case where various coverings exist in one abandoned cultivated land, where (a) is a plan view thereof and (b) is a side view thereof. As shown in FIG. 8B, within this abandoned cultivated land, there are a relatively low “low grassland”, a relatively high “high grassland”, and a warehouse, as shown in FIG. 8A. Each occupies a certain area.

  When the abandoned cultivated land in FIG. 8 is evaluated as a single abandoned area, the average value of the covering height becomes equal to or higher than the height threshold λ and may be determined as “non-candidate land” (FIGS. 6 and 7) is expected. However, in actuality, when “low grassland” and “high grassland” are combined, a sufficient area is secured for the installation of solar power generation facilities, and it is not necessary to make much changes to install the facilities. . That is, the case of FIG. 8 is evaluated as a non-candidate site when the entire abandoned area is evaluated, but there are also areas that can be evaluated as a candidate site when partially evaluated. In order to extract such a partial area that can be a candidate site without omission, it is possible to set a partial area and evaluate the partial area. The details will be described below.

  FIG. 9 is a flowchart showing a flow in the case of performing candidate site classification for each partial region. The covering height calculating means calculates the covering height, obtains the plane coordinates of the covering height position with reference to the surface layer model and the ground surface model, and obtains the covering point. Thus, the covering point and the covering height are associated (linked) and stored (Step 40 in FIG. 9).

  Next, the “height classification” corresponding to the height of the covering is assigned to each covering point by the height classification means (Step 90). The height classification is a combination of a height classification identifier (hereinafter simply referred to as “height ID”) and a height range corresponding to the height classification identifier, and is set in advance. FIG. 10 is an example showing the height division, and is a model diagram showing a height division table constituted by 10 height divisions. As shown in FIG. 10, the height division table is composed of two or more height divisions, and is stored in the height division storage means. For example, out of the mesh constituent points shown in FIG. 5 (that is, the covering points), if only the covering points of the height section whose height ID is H05 are extracted as “black points”, and the other points are white points. As shown in FIG.

  When the “height division” corresponding to the height of the covering is given for each covering point, the “partial region” is set (Step 100). The partial area is a set of covering points within the same abandoned area area and having the same height division, and is an area in which a predetermined area or more is secured.

  As shown in FIG. 9, with reference to the height divisions of the covering points in the same abandoned district area, the covering points having the same division are gathered to form a “collection area” (Step 101). At this time, whether or not to include in the gathering area is determined by the planar position of the covering point. That is, even if it is a covering point having the same section, the covering point is not included in the collecting area unless it is within a predetermined range from the collecting area to be incorporated.

  Next, the area formed by this aggregate region is calculated (Step 102). In this case, the area can be calculated using a mesh used in the surface layer model or the ground surface model. The area of the collective region is compared with a predetermined “area threshold α” (Step 103). If the area of the collective region is equal to or larger than the area threshold α, the collective region is specified as a “partial region” (Step 104). . On the other hand, if the area of the collective region is less than the area threshold value α, the collective region is not a partial region and proceeds to the next step. This series of processing (Step 101 to Step 104) is repeated by the number of height sections in the same abandoned area.

  Then, the presence / absence of a partial area is determined in the abandoned area (Step 105). If even one partial area is specified, candidate land classification is performed for each partial area (Step 70a in FIG. 9). If not specified, candidate site classification is performed for the abandoned district region (Step 70b in FIG. 9).

(Partial area setting by clustering analysis)
When forming a “gathering area”, whether or not to include in the gathering area is determined by the planar position of the covering point, and even if it is a covering point having the same division, a predetermined range from the collecting area to be incorporated If it is not within, the covering point is not included in the gathering area as described above. In this case, the determination can be made based on the distance between the covering point and the covering point, or the distance between the already formed aggregate region and the covering point, and the distance can be compared with a predetermined threshold value. . As the method, various methods conventionally used can be adopted, and clustering analysis will be described as an example. There are two types of cluster analysis: “hierarchical cluster analysis” and “non-hierarchical cluster analysis”, and any method can be adopted in the present invention. Will be described.

  FIG. 12 is a flowchart showing a flow of setting a partial region by clustering analysis. Clustering analysis is a method of creating clusters of data called clusters and combining clusters according to the distance between clusters. As shown in FIG. 12, first, a cluster is formed for each covering point (Step 101a). That is, initially, a cluster including only one covering point is formed by the number of covering points. Next, the distance between each cluster is calculated (Step 101b). This inter-cluster distance is calculated by the combination of all clusters (the so-called round robin) in principle. FIG. 13 is an explanatory diagram showing the result of calculating the inter-cluster distance when there are n clusters.

  Various methods for obtaining the distance between clusters are known. For example, as shown in FIG. 14, the “longest distance method” in which the longest distance among points constituting a cluster is the inter-cluster distance can be exemplified. In the case of this figure, the longest of L12, L13, and L23 is adopted as the intercluster distance. Other than the longest distance method, the “shortest distance method” where the shortest distance between the points constituting the cluster is the intercluster distance, the “center of gravity method” where the intercluster distance is determined at the center of gravity of the cluster, or There are many methods such as “Ward method” and “Group average method”, and any method can be adopted in the present invention.

  If the inter-cluster distance is calculated, two clusters constituting the shortest inter-cluster distance are selected and combined as one cluster (Step 101c). At this time, if there are two or more clusters in the abandoned district area, the above processing (Step 101a to Step 101c) is repeated, and if the number of clusters in the abandoned district area becomes one, the process proceeds to the next process ( Step 101d).

  If there is one cluster in the abandoned area, a dendrogram called a dendrogram is created (Step 101e). FIG. 15 is a model diagram showing an example of a dendrogram. As can be seen from this figure, the dendrogram represents a combination of combined clusters (horizontal axis) and an intercluster distance (vertical axis) when combined. Then, a predetermined threshold value (restricted height) is set, and only clusters connected by the inter-cluster distance that falls below the restricted height are selected (Step 101f), and these are set as a collection region. In the example of FIG. 15, a cluster composed of P01, P02, P04, and P05 is selected as one collection region, and a cluster composed of P03, P06, and P07 is selected as one collection region. The area of the aggregate region selected here is calculated, and if it is equal to or larger than the area threshold value α, it is specified as a partial region.

(Partial area setting by labeling process)
As a method for setting a partial region, a method based on labeling as well as clustering analysis can be given. This method is characterized in that a group is formed using the abandoned district areas that have been imaged. When abandoned areas are imaged, meshes used in the surface layer model and ground surface model are used, and height information is assigned to each mesh based on the covering height, and images are generated according to the height information. . In this case, for example, light / dark information expressing light and dark and color information expressing color (hereinafter collectively referred to as “image information”) may be given to each mesh based on the height division shown in FIG. it can.

  FIGS. 16A and 16B are model diagrams illustrating the labeling process, in which FIG. 16A is a model diagram illustrating a direction referred to by the target mesh, and FIG. 16B is a model diagram illustrating a group formed by the labeling process. As shown in FIG. 16 (b), if the mesh is scanned and a mesh having predetermined image information is found, the same (or approximation) is referred to around the mesh as shown in FIG. 16 (a). ) The mesh having the image information is expanded as a group. In this figure, the eight directions around the target mesh are referred to, but four directions may be used. By repeating the above processing, several groups, that is, collective regions are formed.

5. Evaluation of the potential of photovoltaic power generation As described above, the potential of photovoltaic power generation is evaluated for the selected candidate sites. Basically, the area of abandoned farmland and the amount of solar radiation in the area are evaluated as input conditions. Or it can also evaluate based on the input conditions which added "the grade of the candidate site" to the area and the amount of solar radiation. In addition, the shaded time and range, the distance from the surrounding road, the distance from the river, and the like may be evaluated in addition to the input conditions.

6). Photovoltaic power generation potential evaluation program The solar power generation potential evaluation program executes a solar power generation potential evaluation device, and has a function of causing a computer to execute each means included in the solar power generation potential evaluation device. Hereinafter, it demonstrates individually. In addition, about the content of a process, since it overlaps with the content demonstrated with the solar power generation potential evaluation apparatus, description here is not repeated.

  The surface model reading process executes a process of reading a surface layer model from the surface layer model storage means, and the ground model reading process executes a process of reading the ground model from the ground model storage means. The process is to execute a process of reading an abandoned section area that is an abandoned cultivation area from the abandoned section area storage means. Further, the covering height calculation process executes a process of calculating the height of the covering in the abandoned segment area as the covering height based on the surface layer model and the ground surface model.

  The statistical process is to execute a process for calculating the average value and standard deviation of the covering height for each abandoned segment area, and the statistical value matching process is performed by calculating a predetermined height threshold and an average value of the covering height. And a process for comparing the standard deviation threshold value set in advance with the standard deviation of the covering height is executed, and the candidate site classification process is based on the result of matching by the statistical value matching process. A process of selecting a candidate site or a non-candidate site is executed. The potential evaluation process is a process for evaluating the potential of photovoltaic power generation based on the conditions including the area of the abandoned section area and the amount of solar radiation for the abandoned section area set as the candidate site.

  The height classification reference process is to execute a process of referring to two or more height classifications divided in a predetermined range, and the height classification process is to calculate the covering height calculated by the covering height calculation process, Each part is classified into height categories, and the partial area setting process divides the abandoned segment area into two or more partial areas based on the covering height classified by the height classification process. It is something to be made.

  The solar power generation potential evaluation apparatus and the solar power generation potential evaluation program of the present invention can be effectively used for a business operator who provides a solar power generation facility or a person who plans to install the solar power generation facility. This is particularly effective for landowners who want to make effective use of abandoned farmland and local governments where land exists. Furthermore, it is possible to prevent inadvertent loss of abandoned farming that can be restored to farmland. This invention contributes to the improvement of food self-sufficiency in Japan and to the development of agriculture.

1 Terrain 2 Aircraft 3 Laser

  The present invention relates to a technology for evaluating the potential of solar power generation. More specifically, the present invention accurately selects an abandoned farmland that can be used, and also determines the potential of solar power generation for the selected abandoned farmland. The present invention relates to a solar power generation potential evaluation apparatus and a solar power generation potential evaluation program to be evaluated.

  Japan's agricultural land area has decreased significantly compared to the 1950s. In the decades since the end of the war, about 1.05 million ha of farmland has been expanded by land reclamation and reclamation, etc., but as a result of being diverted to industrial land, roads, or residential land, about 2.55 million ha of farmland has been crushed. Because it was abolished, farmland that had been secured over 6 million ha in the Showa 30s has now decreased to about 4.6 million ha.

  In addition to the decrease in the area of farmland in this way, the food consumption situation of Japanese people has changed significantly, and the food self-sufficiency rate, which had been secured at around 73% around 1965, is now around 40%. It is falling. This figure is said to be the lowest level among developed countries, and against the backdrop of destabilization of the international food situation, the country regards the improvement of food self-sufficiency as an urgent issue, and is committed to securing farmland and encouraging farming. Is pouring.

  As the reason for the decrease in farmland, the conversion to non-farmland mentioned above accounts for 55% of the total, followed by “abandonment of farming”, which accounts for about 44% of the total. Therefore, the country has tightened diversion regulations to prevent the decline of farmland and promotes the reuse of abandoned farmland. Specifically, subsidies are provided for expenses necessary for farming, such as the creation of soil for rough farmland, the introduction of agricultural machinery, and the development of agricultural drainage facilities.

"Abandoned farmland" is literally abandoned farmland, but in the agricultural census, it was previously a cultivated land, and it has not been cultivated over the past year, and will be cultivated again in the past few years. It is clearly defined as “land without land” and is distinguished from “fallow land” with the intention of cultivation. In addition, although there is a term “idle farmland” used in the same meaning, this is defined by the Farmland Law (Article 32) and is slightly different from “abandoned farmland” on the agricultural census. but, here, including the "idle agricultural land," and that "abandoned farmland".

  Abandoned cultivated land is set in units of lot numbers (so-called “one-stroke”) and is self-reported by farmers and other rights holders. In other words, the results of the agricultural census are the results of aggregation based on the subjectivity of farmers and the like, and do not indicate the land area that can be cultivated. Therefore, in accordance with the Agricultural Land Law (Article 30, Paragraph 1), the national government conducts an “Agricultural Land Survey” once a year. This survey will be conducted by the municipality / agricultural committee in the area where farming is abandoned, and the results will be recorded on a map. As a result of this survey, abandoned cultivated land by self-reporting is simply uncultivated cultivated land, land that can be easily restored to cultivation, land that can be restored to cultivation by infrastructure development, etc., and restoration to cultivation is impossible Classified as land.

  As a matter of course, the results of the survey of the abandoned farmland as a whole include the cultivatable areas larger than the results of the agricultural census. For example, looking at the results in 2010, about 400,000 aha abandoned cultivated land was recorded in the Agricultural Census, while about 190,000 ha of the abandoned cultivated land survey was “non-agricultural land”, about 15 Ten thousand ha is regarded as “land that can be restored to farming” and “land that cannot be restored to farming” is only about 60,000 ha.

  The national government has inspected the entire abandoned farmland and is instructing to restore most of the land that can be reconstructed to farmland as well as “non-agricultural land” to resume farming. On the other hand, since it is difficult to resume farming for some of the “land that can be restored to farming”, “land that cannot be restored to farming” and “land that has been converted to wilderness,” renewable energy production can be used as another application. Recommended for land use.

  Under such a background, technologies relating to photovoltaic power generation using abandoned farmland including Patent Document 1 and Patent Document 2 have been proposed.

JP 2012-239370 A JP2012-122320A

  As described above, the survey of the abandoned cultivated land is to select the land that can be cultivated in reality by reviewing the land that has been abandoned by the will of farmers and others. However, since this survey uses visual observation, individual differences are easily predicted for each investigator, and this is not necessarily an objective survey result. Originally, it would be desirable to make quantitative judgments based on some numerical information. However, methods for making such quantitative judgments and obtaining such numerical information have also been proposed. There is no current situation. For example, if you acquire measurement information such as the height of herbs planted on the land, variation in the height, or the area occupied by herbs by height, and quantitatively evaluate based on the results, Objective evaluation is possible by eliminating individual differences among investigators, traceability is ensured, and accountability can be met.

  Because the current survey of abandoned cultivated land is difficult to say as an objective and quantitative evaluation, it is actually `` land that can not be cultivated and restored '' despite being `` land that can be cultivated and restored '' Or vice versa, and may not be classified correctly. As a result, it is extremely difficult to actually restore land that has been evaluated as “land that can be restored to farming,” or even though it is actually “land that can be restored to farming.” There is a concern that various problems may occur.

  In addition, there is a problem from the standpoint of setting up a production facility for renewable energy such as solar power on “land that cannot be reconstructed.” Since the agricultural census and the survey of abandoned farmland are aimed at restoring farmland, land that has been assessed as “land that cannot be restored to farming” will not be further classified. However, among “land that cannot be reconstructed”, there are land where renewable energy production facilities are easy to install and difficult, or land with high or low photovoltaic power generation potential. It is difficult to evaluate. Therefore, when planning a photovoltaic power generation facility on “land where cultivation cannot be restored”, it is necessary to conduct a field survey again. In other words, it is possible to point out the problem that the previous survey cannot be used and a double survey must be conducted.

  As described above, if numerical information representing the state of abandoned cultivated land is acquired and a method of evaluation based on this numerical information is established and adopted, objectively `` land where cultivation can be restored '' or `` cultivated restoration '' In addition to being able to be evaluated as “land impossible”, it is also possible to accurately evaluate whether it is suitable for the installation of solar power generation facilities. Furthermore, if the potential of photovoltaic power generation can be evaluated based on the area and the amount of solar radiation in the area for land that has been evaluated as suitable for the installation of solar power generation facilities, the layout plan for solar power generation facilities in abandoned farmland It is extremely useful when planning.

  The subject of the present invention is to solve the above-mentioned problem, that is, quantitative evaluation is performed based on numerical information representing the state of abandoned farmland, and abandoned farmland suitable for installation of photovoltaic power generation facilities is accurately extracted. Another object of the present invention is to provide a photovoltaic power generation potential evaluation device and a photovoltaic power generation potential evaluation program for evaluating the photovoltaic power generation potential of the extracted abandoned farmland.

  The present invention focuses on the point of selecting an appropriate candidate site for photovoltaic power generation by using a terrain model based on three-dimensional spatial information such as DSM and DEM and statistically processing the obtained data. It is an invention made based on an idea that has not existed before.

Photovoltaic potential evaluation device of the present invention, the surface model storage unit, the surface model storage unit, abandoned divided region storage means, coating high calculation means, statistical processing means, the statistical value comparison means, candidate site classification means, potential Evaluation means are provided, and the contents of each means are as follows. The surface model storage means stores a surface layer model representing the surface shape of the target area in three dimensions, and the surface model storage means stores a surface model obtained by removing the covering from the surface model, and abandoned divided region storage means is for storing an area that is abandoned land in the target area as "abandoned division area". Further, coating a high calculation means calculates a height of the coating on the abandoned division region based on the surface model and surface model as a coating height, statistical processing means, for each abandoned segmental area The average value and standard deviation of the covering height are calculated, and the statistical value collating means compares the preset height threshold value with the average value of the covering height and also sets the preset standard deviation threshold value and the covering value. This is to compare the standard deviation of the height. Furthermore, the candidate site classification means is adapted to sort the abandoned partitioned region based on the collation result of the statistical value comparison means candidate site or non-candidate site, potential evaluation means, abandoned divisional area is a candidate site it is intended to evaluate the potential of solar power based on conditions including the area and the amount of solar radiation of abandoned segmented region with respect.

The photovoltaic power generation potential evaluation apparatus of the present invention can further include a height classification storage means, a height classification means, and a partial region setting means. The height classification storage means stores two or more height classifications divided within a predetermined range, and the height classification means assigns the coating height calculated by the coating height calculation means to the height classification, respectively. is intended to classify partial region setting means is for dividing the abandoned segmented region into two or more partial areas based on the classified coating high by the height classification means. The coating high calculating means in this case, to calculate the height of the coating on the abandoned division region based on the surface model and surface model as a coating height, covering the calculated planar position a coating height Let it be an object point. Then, the statistical processing means calculates the average value and standard deviation of the covering height for each partial area, the candidate land classification means selects candidate areas or non-candidate areas for the partial areas, and the potential evaluation means further includes: Evaluate the potential of photovoltaic power generation for the candidate areas. Incidentally partial region setting means comprises a plurality of coatings points based on the respective plane position relative to the coating point which has a coating high classified into the same height segment In the same abandoned segmented region A collective region is formed, and if the area of the collective region is equal to or larger than a predetermined area, it is specified as a partial region.

Photovoltaic potential evaluation device of the present invention can also be assumed that the partial region setting means for forming a set region by clustering analysis based on the distance between the plurality of the coating point.

  In the photovoltaic power generation potential evaluation apparatus of the present invention, the partial region setting means creates a height image based on the covering height of the covering point, and forms a collecting region by a labeling process based on the height image. You can also

The photovoltaic power generation potential evaluation apparatus of the present invention may further include a grade providing means. Grade applying means is for applying against abandoned divisional area is a candidate locations by candidate site classification means, the grades set in advance two or more based on the average value and / or standard deviation of the coating and high is there. In this case, the potential evaluation means evaluates the potential of photovoltaic power generation by adding the grade to the condition.

Photovoltaic potential evaluation program of the present invention, a surface model reading processing, surface model reading process, abandoned partitioned area reading, coating high calculation process, the statistical processing, statistical value comparison process, the candidate site classification process, potential evaluation The contents of each process are as follows. Surface model reading process is a process of reading surface model representing the surface shape of the target area three dimensions, surface model reading process is a process of reading a surface model excluding a coating from the surface model, further abandoned segment area reading process, the area that is abandoned farmland in the target area is a process of reading the "abandoned land division area". Further, coating a high calculation process, the process of calculating the height of the coating on the abandoned division region based on the surface model and surface model as a coating height, statistical processing, coatings for each abandoned segmental area The process of calculating the average value and standard deviation of the height and the statistical value collating process compare the preset height threshold value with the average value of the covering height, and set the standard deviation threshold value and the standard of the covering height. This is a process of comparing the deviation. Furthermore, the candidate site classification process is a process of selecting the abandoned partitioned region based on the collation result of the statistical value comparison processing in the candidate site or non-candidate site, potential evaluation process, abandoned divisional area is a candidate site it is a process for evaluating the potential of solar power based on conditions including the area and the amount of solar radiation of abandoned segmented region with respect.

The photovoltaic power generation potential evaluation program of the present invention may further include a height classification reference process, a classification process by height, and a partial area setting process. The height classification reference process is a process for referring to two or more height classifications divided within a predetermined range, and the height classification process is for each of the coating heights calculated by the coating height calculation process. process, the partial region setting processing of classifying the is a process of dividing the abandoned segmented region into two or more partial areas based on the classified by the height classification treatment coating height. The coating high calculation process in this case, to calculate the height of the coating on the abandoned division region based on the surface model and surface model as a coating height, covering the calculated planar position a coating height This is a process of making an object point. The statistical process is a process for calculating the average value and standard deviation of the covering height for each partial area. The candidate site classification process is a process for selecting a candidate site or a non-candidate site for the partial region, and further, potential evaluation. The process is a process for evaluating the potential of solar power generation for the partial area that is a candidate site. Incidentally partial region setting process is composed of a plurality of coating points based on the respective plane position relative to the coating point which has a coating high classified into the same height segment In the same abandoned segmented region A collective region is formed, and if the area of the collective region is equal to or larger than a predetermined area, it is specified as a partial region.

Photovoltaic potential evaluation program of the present invention can also be assumed that the partial region setting process to form a set region by clustering analysis based on the distance between the plurality of the coating point.

  In the photovoltaic power generation potential evaluation program of the present invention, the partial area setting process creates a height image based on the covering height of the covering point, and forms a collecting area by a labeling process based on the height image. You can also

The photovoltaic power generation potential evaluation program of the present invention may further include a grade assignment process. Grade imparting treatment for abandoned divisional area is a candidate locations by candidate site classification process, in the process of applying a set grade in advance two or more based on the average value and / or standard deviation of the coating and high is there. In this case, the potential evaluation process is a process for evaluating the potential of photovoltaic power generation by adding a grade to a condition.

The solar power generation potential evaluation apparatus and the solar power generation potential evaluation program of the present invention have the following effects.
(1) The photovoltaic power generation potential of abandoned farmland can be evaluated at once for a wide target area. For example, it is possible to evaluate the photovoltaic power generation potential of abandoned cultivated land over the entire administrative area, which is efficient and versatile.
(2) Since the evaluation is based on “three-dimensional spatial information” representing the state of abandoned farmland, the result is quantitative and objective, ensures traceability, and can meet accountability.
(3) Since the evaluation is quantitative as described above, a candidate site for photovoltaic power generation can be extracted relatively accurately. As a result, abandoned farmland that should be restored as farmland can be appropriately excluded from the “candidate land”.
(4) Since the lot numbers that are abandoned farmland are not evaluated as a single region, but are evaluated for a certain area within the lot number, it is possible to extract candidate sites for photovoltaic power generation without omission .
(5) The facility planner can obtain extremely useful site selection information by evaluating not only candidate sites for installing the photovoltaic power generation facility but also evaluating the photovoltaic power generation potential.

Explanatory drawing which shows the measurement condition by an aviation laser. The model figure explaining "surface". The model figure explaining "the ground surface". The flowchart which shows the basic flow of this invention. The model figure which shows the state which piled up the area for abandonment district on the surface layer model (surface model) . The flowchart which shows in detail the flow which classifies an abandoned district part area into either a candidate site or a non-candidate site. The flow figure which shows the flow which classifies a candidate site into 2 grades or more simultaneously with classifying an abandoned district part area into either a candidate site or a non-candidate site. (A) is a model top view explaining the case where various coverings exist in one cultivation abandoned land, (b) is a model side view explaining the case where various coverings exist in one cultivation abandoned land. The flowchart which shows the flow in the case of performing candidate site classification | category for every partial area | region. The model figure which shows the height division table comprised by ten height divisions. The model figure shown as extracting only the covering point to which the predetermined | prescribed height division was provided among the covering points in the abandonment district part area | region. The flowchart which shows the flow which sets a partial area | region by clustering analysis. Explanatory drawing showing the result of having calculated the distance between clusters when there are n clusters. The model figure explaining the "longest distance method" which calculates | requires the distance between clusters. The model figure which shows the example of a dendrogram. (A) is a model figure which shows the direction which an object mesh refers in a labeling process, (b) is a model figure which shows the group formed by the labeling process.

  An example of an embodiment of a photovoltaic power generation potential evaluation apparatus and a photovoltaic power generation potential evaluation program according to the present invention will be described with reference to the drawings.

1. Overview of the present invention The present invention is intended for a plurality of abandoned cultivated land in a certain wide area (hereinafter referred to as “target area”) such as municipalities and prefectures, for example. It is something to evaluate. Since a plurality of abandoned farmland are handled at a time, three-dimensional spatial information representing the topography is used. Therefore, first, three-dimensional spatial information will be described.

  The three-dimensional spatial information is information composed of points, lines, surfaces, or combinations thereof having plane coordinate values and height information. Further, the plane coordinate value is represented by latitude and longitude or X and Y coordinates, and the height means a vertical distance from a predetermined reference horizontal plane such as an altitude. This three-dimensional spatial information can be created by various means. For example, it can be created based on a set of two stereo aerial photographs (satellite photographs), created by aerial laser measurement or satellite radar measurement, or can be created by surveying the site directly.

  FIG. 1 is an explanatory diagram showing a measurement situation by an aviation laser. As shown in this figure, the aviation laser measurement is performed by flying the aircraft 2 over the terrain 1 to be measured and receiving the reflection of the laser 3 irradiated on the terrain 1 during the flight. According to this method, three-dimensional spatial information composed of many point groups can be acquired by one measurement.

  The three-dimensional spatial information created on the basis of stereo aerial photographs and aerial laser measurements usually represents a “surface”. Here, as shown in FIG. 2, the surface means an upper surface of a feature existing on the ground such as a green cover or a building such as a farmland or a forest (hereinafter collectively referred to as a “cover”). On the other hand, as shown in FIG. 3, the “ground surface” means a surface after the covering is removed, that is, a so-called ground surface. Here, for convenience, the “surface model” representing the “surface” with the three-dimensional spatial information is referred to as the “surface model”, and the “surface model” representing the “ground surface” with the three-dimensional spatial information is referred to as the “ground model”. As a representative surface model, DSM (Digital Surface Model) is known, and as a typical surface model, DTM (Digital Terrain Model) is known.

  In order to create a ground surface model, a process of removing a covering from the surface layer model, a so-called filtering process is performed. The filtering process is a widely known technique, and recognizes and removes a material that satisfies a predetermined condition as a coating. This process is generally executed by a computer using general-purpose software.

  Next, an outline of the present invention will be described. The present invention calculates the height of the covering (hereinafter referred to as “covering height”) in the abandoned cultivated land, and is based on the average height (hereinafter simply referred to as “candidate”). Or land that is not suitable for installation of photovoltaic power generation (hereinafter simply referred to as “non-candidate land”). Non-candidate land can also include “land where cultivation can be restored”.

  However, if only the average value of the cover height is selected, the abandoned cultivated land if the average value is the same when the cover height is uniform to some extent and the height of the cover is extremely uneven. Will be the same result. If the average value of the coating height is low and almost uniform with no variation, and the average value of the coating height is low but the variation is large and there is an extremely high coating, the former is naturally more a candidate. Suitable for the ground. On the other hand, if the latter is selected as a candidate site because the average value of the covering height is low, it is expected that the situation will be difficult at the implementation stage. In other words, the latter should be selected as a non-candidate site. From the above, in the present invention, the candidate site and the non-candidate site are classified using the combination of the average value of the covering height and the standard deviation as an index.

  If the candidate land or the non-candidate land classification can be made for the abandoned farmland in the target area, the potential of photovoltaic power generation is evaluated for the next selected candidate land. The potential of solar power generation can be generally expressed by the product of the light collection area and the amount of unit solar radiation (hereinafter simply referred to as “the amount of solar radiation”). Therefore, even in the present invention, the evaluation was made based on the area of the abandoned farmland selected as the candidate site and the amount of solar radiation in the region. The amount of solar radiation for each region is referred to, for example, the “average annual amount of solar radiation with the optimum annual inclination angle” described in “New Energy and Industrial Technology Development Organization [Ed.] NEDO Renewable Energy Technology White Paper”. can do.

  Hereinafter, each element will be described in detail based on the flowchart of FIG. 4 showing the basic flow of the present invention. In this figure, actions (processes, processes, means) to be performed are shown in the center column, input information necessary for the action is shown in the left column, and output information generated from the action is shown in the right column. The technical content of the present invention will be described using an example of a solar power generation potential evaluation apparatus, and the content specific to the solar power generation potential evaluation program will be described later.

2. Cover height calculation (surface model storage means and ground model storage means)
Using the 3D space model obtained as a result of measuring the target area as input information, a surface layer model is created in the surface layer model creating step (Step 10) and stored in the surface layer model storage means. Similarly, using the 3D space model of the target area as input information, a ground surface model is created in the ground surface model creation step (Step 20) and stored in the ground surface model storage means. As described above, the surface model can be created by filtering processing using the surface layer model as input information.

Specifically, the surface layer model storage means and the ground surface model storage means are storage media such as a hard disk and a CD-ROM of a computer, that is, the surface layer model and the ground surface model are formed in a data format that can be processed by a computer. Note that the three-dimensional space model of the target area may be measured and acquired for the present invention, but of course, if there is a ready-made one, it can also be used. Also, the surface layer model and the ground surface model used here may be created for the present invention , or ready-made ones may be used.

(Abandoned land division area storage means)
When the surface layer model and the ground surface model are prepared, the area to be abandoned farmland is set as the “abundant area area” (Step 30). Specifically, an abandoned area corresponding to a data format that can be processed by a computer (hereinafter referred to as “digital format”) is created based on the information on the abandoned farmland written on a paper medium or the like. Therefore, when information on abandoned farmland is prepared in a digital format, it can be used as an abandoned area as it is without any special processing.

The abandoned area portion represents the outline (contour) of the abandoned farmland with at least two-dimensional spatial information, and does not necessarily have height information. In addition, as described above, the abandoned farmland is determined for each lot number (one stroke), and therefore, the abandoned area is inevitably set for each lot number (one stroke). In many cases, there are a plurality of abandoned farmland in the target area, and abandoned areas are set for all of these abandoned farmlands. Setting a plurality of abandonment district partial regions are stored in the abandoned divided region storage means, the abandoned divided region storage means stores such as a hard disk or CD-ROM of the surface model storage means and surface model storage means similar to a computer It is a medium.

(Coating height calculation means)
When the surface layer model, the ground surface model, and the abandoned district area are prepared, the height of the covering existing in the abandoned area is calculated as “cover height” (Step 40). The surface layer model, the ground surface model, and the abandoned area are prepared for each target area (Step 10 to Step 30 in FIG. 4), but the steps after the calculation of the covering height (Step 40 to Step 80 in FIG. 4) are abandoned. carried out in each land division area. Thus, as shown in FIG. 4, if there are multiple abandoned segmented region in the target area, step after calculating the coating height is repeatedly performed.

  In order to calculate the covering height in the abandoned area, the abandoned area is first overlapped with the surface model and the ground model. FIG. 5 is a model diagram showing a state where the abandoned district area is superimposed on the surface model (ground model). As shown in this figure, by superimposing the abandoned district regions, the mesh constituent points included in the abandoned district regions among the mesh constituent points (mesh grid points) of the surface layer model and the ground model become clear.

  Next, the cover height in the abandoned area is calculated based on the mesh constituent points of the surface layer model included in the abandoned area and the mesh constituent points of the ground model. Specifically, the difference between the surface model and the ground model is obtained using the height information of the mesh composing points, and this is used as the covering height. Therefore, in order to easily obtain the difference, it is desirable that the mesh constituent points of the surface layer model and the mesh constituent points of the ground surface model coincide or approximate in a plane. Further, the plane position of the point for which the covering height is obtained can be stored as a “covering point”. That is, the information indicating the planar position of the covering is “covering point”, and the information indicating the height of the covering is “covering height”. Therefore, when the mesh composing point of the surface model and the mesh composing point of the ground surface model coincide in a plane, the plane coordinates of the mesh composing point become the covering point as it is. The calculated covering height and covering point are stored in association (linked) with the abandoned district area. In FIG. 4, the mesh height in the abandoned area is extracted in advance and the cover height is calculated. However, after the cover height is calculated over the entire area, the coverage in the abandoned area is calculated. The height can also be extracted.

3. Statistical processing of coating height (statistical processing means)
Usually, there are a large number of mesh constituent points in the abandoned area, i.e. a large number of covering heights. In order to evaluate the state of the abandoned area based on these coating heights, an average value of the coating heights and a standard deviation indicating variations in the coating heights are calculated (Step 50). The average value here means the height of the covering that represents the abandoned area, and is not limited to the arithmetic average that divides the sum by the number of samples, but the median that is the center between the maximum and minimum values, The mode value having the highest frequency can be obtained, and the average value can be obtained by various methods.

  Moreover, the histogram which represented the frequency | count according to the covering height can also be created (Step 60). If this histogram is output to a display or the like, it is preferable because the variation in the coating height can be grasped visually. Moreover, after creating a histogram, the average value and standard deviation of the covering height can be calculated. For example, while confirming the output histogram, it is possible to calculate the average value and the standard deviation of the coating height after excluding values that are clearly recognized as abnormal values.

  The calculated average value and standard deviation of the covering height are stored in association with (corresponding to) the abandoned district area in the same manner as the covering height and covering point.

4). Classification of candidate sites and non-candidate sites (statistics matching means and candidate place classification means)
The average value and standard deviation of the cover height calculated for each abandoned area by the statistical value matching means are compared with the threshold values, respectively. Alternatively, it is selected as one of the non-candidate sites (Step 70). The threshold used in the statistical value matching means is preset, the threshold compared with the average value of the coating height is “height threshold λ”, and the threshold compared with the standard deviation of the coating height is “standard”. Deviation threshold γ ”.

Figure 6 is a flow diagram illustrating in detail the flow of classifying abandonment district partial region to either the candidate sites or non-candidate site. As shown in this figure, first, it is determined whether or not the average value of the covering height is equal to or less than (or less than) the height threshold λ by the statistical value collating means (Step 71). Then, if the average value of the coating height is equal to or less than the height threshold λ (or less than), the statistical value collating means then determines whether or not the standard deviation of the coating height is equal to or less than the standard deviation threshold γ (or less). (Step 72).

  Subsequently, the candidate site classification means classifies the abandoned district area into either a candidate site or a non-candidate site. Specifically, as shown in FIG. 6, if the average value of the coating height is less than (or less than) the height threshold λ, and the standard deviation of the coating height is less than (or less than) the standard deviation threshold γ. For example, the area for the abandoned district is determined as a “candidate site”, and otherwise, it is determined as a “non-candidate site”.

(Grading means)
The candidate site classification means is not limited to the case of classifying as either a candidate site or a non-candidate site as shown in FIG. 6, and can further classify the candidate sites into two or more grades. FIG. 7 is a flowchart showing a flow of classifying candidate sites into two or more grades at the same time as classifying the abandoned district area into either candidate sites or non-candidate sites. In this case, two or more types of height thresholds λ are prepared, and the abandoned district areas are classified according to these height thresholds λ.

First, according to the average value of the covering height, a provisional grade is assigned to the abandoned district area (Step 73). In the case of FIG. 6, provisional grade A is assigned if it is less than or equal to the smallest first height threshold λ1, and provisional grade A is assigned if it is less than or equal to the second smallest second height threshold λ2 and exceeds the first height threshold λ1. A grade B is given, and a provisional grade C is given when the second height threshold λ2 is exceeded. If the abandoned district area to which the provisional grade A is assigned is the standard deviation threshold γ or less, it is evaluated as a candidate site of the grade A, and if the abandoned district area to which the provisional grade B is assigned is the standard deviation threshold γ or less. For example, it is evaluated as a candidate site of grade B, and the other abandoned district areas (including those assigned provisional grade C) are non-candidate sites. Incidentally candidate locations Grade A is a candidate site capable of easily installed solar power facilities without adding a large hand, candidate locations grade B is the more solar power facilities to perform work for infrastructure such as It can be recognized as a candidate site that can be installed.

  In FIG. 7, the candidate sites are divided into two grades, but the non-candidate sites can be divided into two or more types. For example, if the abandoned area for which provisional grade A is given in FIG. 7 is equal to or less than the standard deviation threshold γ, it is evaluated as “agricultural land to be cultivated and restored” because there is almost no covering in the abandoned area. In other words, it may be a “non-candidate site” for the installation of photovoltaic power generation.

(Height classification storage means and height classification means)
So far, the explanation has been made in the case of evaluating the candidate site or the grade of the candidate site in units of abandoned districts (that is, lot numbers). However, when evaluated for each abandoned area, there are cases where this is overlooked even though it is actually an abandoned farmland suitable for installation of photovoltaic power generation facilities. FIG. 8 is a model diagram illustrating a case where various coverings exist in one abandoned cultivated land, where (a) is a plan view thereof and (b) is a side view thereof. As shown in FIG. 8B, within this abandoned cultivated land, there are a relatively low “low grassland”, a relatively high “high grassland”, and a warehouse, as shown in FIG. 8A. Each occupies a certain area.

When the abandoned cultivated land in FIG. 8 is evaluated as a single abandoned area, the average value of the covering height becomes equal to or higher than the height threshold λ and may be determined as “non-candidate land” (FIGS. 6 and 7). is expected. However, in practice, sufficient area for installing the photovoltaic power generation facilities Together "Kokusachi" and "Teikusachi" is ensured, moreover Ru land der need not add much hands to install the facility . That is, the case of FIG. 8 is evaluated as a non-candidate site when the entire abandoned area is evaluated, but there are also areas that can be evaluated as a candidate site when partially evaluated. In order to extract such a partial area that can be a candidate site without omission, it is possible to set a partial area and evaluate the partial area. The details will be described below.

  FIG. 9 is a flowchart showing a flow in the case of performing candidate site classification for each partial region. The covering height calculating means calculates the covering height, obtains the plane coordinates of the covering height position with reference to the surface layer model and the ground surface model, and obtains the covering point. Thus, the covering point and the covering height are associated (linked) and stored (Step 40 in FIG. 9).

  Next, the “height classification” corresponding to the height of the covering is assigned to each covering point by the height classification means (Step 90). The height classification is a combination of a height classification identifier (hereinafter simply referred to as “height ID”) and a height range corresponding to the height classification identifier, and is set in advance. FIG. 10 is an example showing the height division, and is a model diagram showing a height division table constituted by 10 height divisions. As shown in FIG. 10, the height division table is composed of two or more height divisions, and is stored in the height division storage means. For example, out of the mesh constituent points shown in FIG. 5 (that is, the covering points), if only the covering points of the height section whose height ID is H05 are extracted as “black points”, and the other points are white points. As shown in FIG.

  When the “height division” corresponding to the height of the covering is given for each covering point, the “partial region” is set (Step 100). The partial area is a set of covering points within the same abandoned area area and having the same height division, and is an area in which a predetermined area or more is secured.

  As shown in FIG. 9, with reference to the height divisions of the covering points in the same abandoned district area, the covering points having the same division are gathered to form a “collection area” (Step 101). At this time, whether or not to include in the gathering area is determined by the planar position of the covering point. That is, even if it is a covering point having the same section, the covering point is not included in the collecting area unless it is within a predetermined range from the collecting area to be incorporated.

  Next, the area formed by this aggregate region is calculated (Step 102). In this case, the area can be calculated using a mesh used in the surface layer model or the ground surface model. The area of the collective region is compared with a predetermined “area threshold α” (Step 103). If the area of the collective region is equal to or larger than the area threshold α, the collective region is specified as a “partial region” (Step 104). . On the other hand, if the area of the collective region is less than the area threshold value α, the collective region is not a partial region and proceeds to the next step. This series of processing (Step 101 to Step 104) is repeated by the number of height sections in the same abandoned area.

  Then, the presence / absence of a partial area is determined in the abandoned area (Step 105). If even one partial area is specified, candidate land classification is performed for each partial area (Step 70a in FIG. 9). If not specified, candidate site classification is performed for the abandoned district region (Step 70b in FIG. 9).

(Partial area setting by clustering analysis)
When forming a “gathering area”, whether or not to include in the gathering area is determined by the planar position of the covering point, and even if it is a covering point having the same division, a predetermined range from the collecting area to be incorporated If it is not within, the covering point is not included in the gathering area as described above. In this case, the determination can be made based on the distance between the covering point and the covering point, or the distance between the already formed aggregate region and the covering point, and the distance can be compared with a predetermined threshold value. . As the method, various methods conventionally used can be adopted, and clustering analysis will be described as an example. Incidentally, large in clustering analysis "Hierarchical Clustering Analysis" There are two types of "non-hierarchical clustering analysis", in the present invention may be employed either approach, where "hierarchy as an example and to describe clustering ring analysis ".

  FIG. 12 is a flowchart showing a flow of setting a partial region by clustering analysis. Clustering analysis is a method of creating clusters of data called clusters and combining clusters according to the distance between clusters. As shown in FIG. 12, first, a cluster is formed for each covering point (Step 101a). That is, initially, a cluster including only one covering point is formed by the number of covering points. Next, the distance between each cluster is calculated (Step 101b). This inter-cluster distance is calculated by the combination of all clusters (the so-called round robin) in principle. FIG. 13 is an explanatory diagram showing the result of calculating the inter-cluster distance when there are n clusters.

Method asking you to intercluster distance are known various ones. For example, as shown in FIG. 14, the “longest distance method” in which the longest distance among points constituting a cluster is the inter-cluster distance can be exemplified. In the case of this figure, the longest of L12, L13, and L23 is adopted as the intercluster distance. Other than the longest distance method, the “shortest distance method” where the shortest distance between the points constituting the cluster is the intercluster distance, the “center of gravity method” where the intercluster distance is determined at the center of gravity of the cluster, or "Ward's method", a number of techniques such as "group average method" and the like, the present invention may be employed either approach.

  If the inter-cluster distance is calculated, two clusters constituting the shortest inter-cluster distance are selected and combined as one cluster (Step 101c). At this time, if there are two or more clusters in the abandoned district area, the above processing (Step 101a to Step 101c) is repeated, and if the number of clusters in the abandoned district area becomes one, the process proceeds to the next process ( Step 101d).

  If there is one cluster in the abandoned area, a dendrogram called a dendrogram is created (Step 101e). FIG. 15 is a model diagram showing an example of a dendrogram. As can be seen from this figure, the dendrogram represents a combination of combined clusters (horizontal axis) and an intercluster distance (vertical axis) when combined. Then, a predetermined threshold value (restricted height) is set, and only clusters connected by the inter-cluster distance that falls below the restricted height are selected (Step 101f), and these are set as a collection region. In the example of FIG. 15, a cluster composed of P01, P02, P04, and P05 is selected as one collection region, and a cluster composed of P03, P06, and P07 is selected as one collection region. The area of the aggregate region selected here is calculated, and if it is equal to or larger than the area threshold value α, it is specified as a partial region.

(Partial area setting by labeling process)
As a method for setting a partial region, a method based on labeling as well as clustering analysis can be given. This method is characterized in that a group is formed using the abandoned district areas that have been imaged. When abandoned areas are imaged, meshes used in the surface layer model and ground surface model are used, and height information is assigned to each mesh based on the covering height, and images are generated according to the height information. . In this case, for example, light / dark information expressing light and dark and color information expressing color (hereinafter collectively referred to as “image information”) may be given to each mesh based on the height division shown in FIG. it can.

  FIGS. 16A and 16B are model diagrams illustrating the labeling process, in which FIG. 16A is a model diagram illustrating a direction referred to by the target mesh, and FIG. 16B is a model diagram illustrating a group formed by the labeling process. As shown in FIG. 16 (b), if the mesh is scanned and a mesh having predetermined image information is found, the same (or approximation) is referred to around the mesh as shown in FIG. 16 (a). ) The mesh having the image information is expanded as a group. In this figure, the eight directions around the target mesh are referred to, but four directions may be used. By repeating the above processing, several groups, that is, collective regions are formed.

5. Evaluation of the potential of photovoltaic power generation As described above, the potential of photovoltaic power generation is evaluated for the selected candidate sites. Basically, the area of abandoned farmland and the amount of solar radiation in the area are evaluated as input conditions. Or it can also evaluate based on the input conditions which added "the grade of the candidate site" to the area and the amount of solar radiation. In addition, the shaded time and range, the distance from the surrounding road, the distance from the river, and the like may be evaluated in addition to the input conditions.

6). Photovoltaic power generation potential evaluation program The solar power generation potential evaluation program executes a solar power generation potential evaluation device, and has a function of causing a computer to execute each means included in the solar power generation potential evaluation device. Hereinafter, it demonstrates individually. In addition, about the content of a process, since it overlaps with the content demonstrated with the solar power generation potential evaluation apparatus, description here is not repeated.

Surface model read process is for executing a process of reading the surface model from the surface model storage unit, surface model reading processing is for executing a process of reading the surface model from the surface model storage unit, abandoned partitioned area read process is for executing a process of reading the abandoned partitioned area that is abandoned farmland from abandoned divided region storage means. Further, coating a high calculation process, based on the surface model and surface model, it is intended to execute the process of calculating the height of the coating on the abandoned segmented region as a coating height.

Statistical processing is for executing a process of calculating the mean value and standard deviation of the coating and high for each abandoned segmental area, statistical value comparison process, a predetermined height threshold value and coating height average value as well as comparing the door, but to execute the process of comparing the standard deviation with a preset standard deviation threshold coating height, candidate site classification process, abandoned classified based on the collation result of the statistical value comparison processing A process for selecting a region as a candidate site or a non-candidate site is executed. The potential evaluation process, to the abandoned divisional area is a candidate site, but to execute the process of evaluating the potential of solar power based on conditions including the area and the amount of solar radiation of the abandoned partitioned area .

The height classification reference process is to execute a process of referring to two or more height classifications divided in a predetermined range, and the height classification process is to calculate the covering height calculated by the covering height calculation process, intended to execute the process for each classified in height division, partial region setting process, the process of dividing the abandoned segmented region into two or more partial areas based on the classified by the height classification process coatings high To be executed.

The solar power generation potential evaluation apparatus and the solar power generation potential evaluation program of the present invention can be effectively used for a business operator who provides a solar power generation facility or a person who plans to install the solar power generation facility. This is particularly effective for landowners who want to make effective use of abandoned farmland and local governments where land exists. Furthermore, since it is also possible to prevent inadvertent loss of agricultural land restoration capable abandoned farmland, with contribute to the improvement of food self-sufficiency in Japan, an invention that can also contribute to the development of agriculture.

1 Terrain 2 Aircraft 3 Laser

Claims (10)

A device for evaluating the potential of photovoltaic power generation in abandoned farmland in the target area,
Surface layer model storage means for storing a surface layer model representing the surface shape of the target area in three dimensions;
Surface model storage means for storing a surface model obtained by removing the covering from the surface layer model;
Abandoned section area storage means for storing an area that is abandoned cultivation in the target area as an abandoned section area;
Based on the surface layer model and the ground surface model, a covering height calculation means for calculating the height of the covering in the abandoned section area as a covering height;
Statistical processing means for calculating an average value and standard deviation of the covering height for each abandoned section area,
A statistical value matching means for comparing a preset height threshold value with the average value of the covering height, and comparing a preset standard deviation threshold value with a standard deviation of the covering height,
Candidate land classification means for selecting the abandoned section area as a candidate land or a non-candidate land based on the matching result by the statistical value matching means;
Potential evaluation means for evaluating the potential of photovoltaic power generation based on the conditions including the area of the abandoned section area and the amount of solar radiation for the abandoned section area as the candidate site,
A photovoltaic power generation potential evaluation device characterized by comprising: A height division storage means for storing two or more height divisions divided by a predetermined range;
The height-by-height classification means for classifying the height of the covering calculated by the covering height calculating means, respectively, into the height category;
A partial region setting unit that divides the abandoned segment region into two or more partial regions based on the covering height classified by the height classification unit;
The covering height calculating means calculates the height of the covering in the abandoned section area as a covering height based on the surface layer model and the ground surface model, and the plane position where the covering height is calculated. Is the covering point,
The statistical processing means calculates an average value and standard deviation of the covering height for each partial region,
The candidate site classification means selects candidate sites or non-candidate sites for the partial region,
The potential evaluation means evaluates the potential of photovoltaic power generation with respect to the partial area that is a candidate site,
The partial area setting means has a plurality of coverings based on the respective plane positions with respect to the covering points having the covering height classified in the same height section in the same abandoned section area. The photovoltaic power generation potential evaluation apparatus according to claim 1, wherein a collective region including points is formed, and the partial region is specified as the partial region if the area of the collective region is equal to or larger than a predetermined area.   3. The photovoltaic power generation potential evaluation apparatus according to claim 2, wherein the partial region setting means forms the aggregate region by cluster analysis based on a distance between a plurality of the covering points.   3. The partial area setting unit creates a height image based on a covering height of the covering point, and forms the collective area by a labeling process based on the height image. The described photovoltaic power generation potential evaluation apparatus. Grade giving means for giving a grade set in advance to 2 or more based on the average value and / or standard deviation of the covering height for the abandoned division area determined as the candidate site by the candidate site classification means Prepared,
The photovoltaic power generation potential evaluation apparatus according to any one of claims 1 to 4, wherein the potential evaluation means evaluates the potential of solar power generation by adding the grade to the condition. A program for causing a computer to execute a process for evaluating the potential of photovoltaic power generation in an abandoned cultivated land in the target area,
A surface layer model reading process for reading a surface layer model representing the surface shape of the target area in three dimensions;
A ground surface model reading process for reading a ground surface model from which the covering is removed from the surface layer model;
Abandonment section area read processing for reading abandonment section areas that are abandoned cultivation in the target area,
Based on the surface layer model and the ground surface model, a covering height calculation process for calculating the height of the covering in the abandoned section area as a covering height;
Statistical processing for calculating the average value and standard deviation of the covering height for each abandoned section area,
A statistical value comparison process for comparing a preset height threshold value with an average value of the covering height, and comparing a preset standard deviation threshold value with a standard deviation of the covering height,
Candidate land classification processing for selecting the abandoned segment area as a candidate land or a non-candidate land based on the matching result by the statistical value matching process;
A potential evaluation process for evaluating the potential of photovoltaic power generation based on the conditions including the area of the abandoned section area and the amount of solar radiation for the abandoned section area as the candidate site,
A photovoltaic power generation potential evaluation program characterized by including A height division reference process for referring to two or more height divisions divided by a predetermined range;
A height classification process for classifying the coating heights calculated by the coating height calculation process into the height categories, respectively.
A partial area setting process for dividing the abandoned segment area into two or more partial areas based on the covering height classified by the height classification process,
The covering height calculation process calculates the height of the covering in the abandoned section area as a covering height based on the surface layer model and the ground surface model, and the plane position where the covering height is calculated. Is the covering point,
The statistical processing calculates an average value and standard deviation of the covering height for each partial region,
The candidate site classification process selects candidate sites or non-candidate sites for the partial region,
The potential evaluation process evaluates the potential of photovoltaic power generation with respect to a partial area that is a candidate site,
The partial area setting process includes a plurality of coverings based on the respective planar positions with respect to the covering points having the covering heights classified in the same height section in the same abandonment section area. The photovoltaic power generation potential evaluation program according to claim 6, wherein a collective region including points is formed, and if the area of the collective region is equal to or larger than a predetermined area, the partial region is specified as the partial region.   8. The photovoltaic power generation potential evaluation program according to claim 7, wherein the partial region setting process forms the aggregate region by cluster analysis based on a distance between a plurality of the covering points.   8. The partial area setting process creates a height image based on a covering height of the covering point and forms the aggregate area by a labeling process based on the height image. The described photovoltaic power generation potential evaluation program. A grade assigning process for assigning a grade set in advance to 2 or more based on the average value and / or the standard deviation of the covering height for the abandoned segment area determined as the candidate site by the candidate site classification process Prepared,
The photovoltaic power generation potential evaluation program according to any one of claims 6 to 9, wherein the potential evaluation processing evaluates the potential of solar power generation by adding the grade to the condition.

Images