Photovoltaic power station site selection method based on real three-dimensional scene and related device

Abstract

The invention discloses a photovoltaic power station site selection method based on a real-scene three-dimensional scene and a related device, and relates to the technical field of new energy and surveying and mapping geographic information. Determining the gradient, the slope direction and the shadow area of each first unit area in the initial position area based on the DEM data and the live-action three-dimensional model, screening the initial position areas to obtain a first position area, calculating the solar radiation intensity of each second unit area in the first position area based on the meteorological data and the photovoltaic panel parameters, and calculating the solar radiation intensity of each second unit area in the second position area; screening the first position area to obtain a second position area, removing areas where permanent basic farmland, cultivated land, ecological protection red lines and ground disaster points are located in the second position area to obtain a third position area, and screening the third position area based on land planning data and road network data to complete photovoltaic power station site selection. According to the invention, photovoltaic power station site selection can be completed efficiently, scientifically and reasonably.

Description

Technical Field

[0001] The present application relates to the field of new energy and surveying and mapping geographic information technology, and in particular to a photovoltaic power station site selection method based on a real three-dimensional scene and related devices. Background Art

[0002] As the global demand for clean energy grows, photovoltaic power generation, as a sustainable and pollution-free way of obtaining energy, has received widespread attention and has developed rapidly. In the construction process of photovoltaic power stations, site selection is a crucial link, and its rationality directly affects the power generation efficiency, construction cost, operation and maintenance of photovoltaic power stations, and the impact on the surrounding environment.

[0003] Traditional methods for selecting sites for photovoltaic power stations mainly rely on two-dimensional geographic information data and data obtained from simple on-site surveys. Sites are selected manually based on the two-dimensional geographic information data and data obtained from simple on-site surveys. However, although the two-dimensional geographic information data can provide certain basic information such as topography and land use, it cannot intuitively and comprehensively display the complex topographic features and the spatial relationship between objects, resulting in unreasonable site selection. Although the data obtained from on-site surveys can obtain some actual conditions on site, this method is inefficient and it is difficult to conduct comprehensive and detailed surveys for large areas of site selection, resulting in unreasonable site selection. Summary of the invention

[0004] The purpose of this application is to provide a photovoltaic power station site selection method and related devices based on real-life three-dimensional scenes, which can efficiently, scientifically and reasonably complete the photovoltaic power station site selection.

[0005] To achieve the above objectives, this application provides the following solutions:

[0006] In a first aspect, the present application provides a photovoltaic power station site selection method based on a real three-dimensional scene, and the photovoltaic power station site selection method based on a real three-dimensional scene includes:

[0007] Acquire real-life 3D scene data and related auxiliary data of the study area, and establish a real-life 3D scene based on the real-life 3D scene data; the real-life 3D scene data includes satellite images of the study area, topographic maps of the study area, aerial photographs of target areas in the study area, and 3D point cloud data of target areas in the study area; the related auxiliary data includes permanent basic farmland, cultivated land, ecological protection red lines, geological disaster points, land use data, land planning data, road network data, meteorological data, and photovoltaic panel parameters in the study area; the real-life 3D scene includes a real-life 3D model and DEM data;

[0008] The study area is screened based on the land use data to obtain an initial location area; the initial location area is an area where shrubs, grasslands and orchards are located;

[0009] Calculate the slope and aspect of each first unit area in the initial position area based on the DEM data, determine the shadow area in the initial position area based on the real-scene three-dimensional model, and screen the initial position area based on the slope and aspect of each first unit area and the shadow area to obtain a first position area; the first position area includes a first unit area whose slope is within a preset slope threshold range, whose aspect is within a preset aspect threshold range and which does not belong to the shadow area;

[0010] Calculate the solar radiation intensity of each second unit area in the first position area based on the meteorological data and the photovoltaic panel parameters, and screen the first position area based on the solar radiation intensity of each second unit area to obtain a second position area; the second position area includes a second unit area whose average solar radiation intensity is greater than a preset mean threshold and whose variance of solar radiation intensity is less than a preset variance threshold;

[0011] Remove permanent basic farmland, cultivated land, ecological protection red line and geological disaster point areas from the second location area to obtain a third location area;

[0012] The third location area is screened based on the land planning data and the road network data to obtain a photovoltaic power station deployment area, thereby completing the site selection of the photovoltaic power station.

[0013] In a second aspect, the present application provides a photovoltaic power station site selection device based on a real three-dimensional scene, and the photovoltaic power station site selection device based on a real three-dimensional scene includes:

[0014] A scene construction module is used to obtain real-life 3D scene data and related auxiliary data of a study area, and to establish a real-life 3D scene based on the real-life 3D scene data; the real-life 3D scene data includes satellite images of the study area, topographic maps of the study area, aerial photographs of target areas in the study area, and 3D point cloud data of target areas in the study area; the related auxiliary data includes permanent basic farmland, cultivated land, ecological protection red lines, geological disaster sites, land use data, land planning data, road network data, meteorological data, and photovoltaic panel parameters in the study area; the real-life 3D scene includes a real-life 3D model and DEM data;

[0015] The first screening module is used to screen the research area based on the land use data to obtain an initial location area; the initial location area is the area where the shrub forest, grassland and orchard are located;

[0016] A second screening module is used to calculate the slope and aspect of each first unit area in the initial position area based on the DEM data, determine the shadow area in the initial position area based on the real-scene three-dimensional model, and screen the initial position area based on the slope and aspect of each first unit area and the shadow area to obtain a first position area; the first position area includes a first unit area whose slope is within a preset slope threshold range, whose aspect is within a preset aspect threshold range and which does not belong to the shadow area;

[0017] A third screening module is used to calculate the solar radiation intensity of each second unit area in the first position area based on the meteorological data and the photovoltaic panel parameters, and screen the first position area based on the solar radiation intensity of each second unit area to obtain a second position area; the second position area includes a second unit area whose average solar radiation intensity is greater than a preset mean threshold and whose variance of solar radiation intensity is less than a preset variance threshold;

[0018] A fourth screening module is used to remove permanent basic farmland, cultivated land, ecological protection red line and geological disaster point areas from the second location area to obtain a third location area;

[0019] The fifth screening module is used to screen the third location area based on the land planning data and the road network data to obtain the photovoltaic power station deployment area and complete the photovoltaic power station site selection.

[0020] In a third aspect, the present application provides a computer device, comprising: a memory, a processor, and a computer program stored in the memory and executable on the processor, wherein the processor executes the computer program to implement the above-mentioned photovoltaic power station site selection method based on real-life three-dimensional scenes.

[0021] In a fourth aspect, the present application provides a computer-readable storage medium having a computer program stored thereon, which, when executed by a processor, implements the above-mentioned photovoltaic power station site selection method based on real-life three-dimensional scenes.

[0022] In a fifth aspect, the present application provides a computer program product, including a computer program, which, when executed by a processor, implements the above-mentioned photovoltaic power station site selection method based on real-life three-dimensional scenes.

[0023] According to the specific embodiments provided in this application, this application has the following technical effects:

[0024] The present application provides a photovoltaic power station site selection method and related devices based on a real three-dimensional scene, which obtains real three-dimensional scene data and related auxiliary data of a study area, establishes a real three-dimensional scene according to the real three-dimensional scene data, screens the study area based on land use data in the related auxiliary data to obtain an initial position area, calculates the slope and slope direction of each first unit area in the initial position area based on DEM data in the real three-dimensional scene, determines the shadow area in the initial position area based on a real three-dimensional model in the real three-dimensional scene, screens the initial position area based on the slope and slope direction of each first unit area and the shadow area to obtain a first position area, calculates the solar radiation intensity of each second unit area in the first position area based on meteorological data and photovoltaic panel parameters in the related auxiliary data, screens the first position area based on the solar radiation intensity of each second unit area to obtain a second position area, removes permanent basic farmland, cultivated land, ecological protection red line and geological disaster point areas from the second position area to obtain a third position area, screens the third position area based on land planning data and road network data in the related auxiliary data to obtain a photovoltaic power station deployment area, and completes the site selection of the photovoltaic power station. Compared with two-dimensional geographic information data, the real-life three-dimensional scene can intuitively and comprehensively display the complex terrain and landform features and the spatial relationship between the land objects. The site selection of the photovoltaic power station can be further carried out based on the real-life three-dimensional scene and related auxiliary data, and the site selection of the photovoltaic power station can be completed scientifically and reasonably. Compared with the data obtained from the on-site survey, the real-life three-dimensional scene data and related auxiliary data do not need to be obtained through on-site survey, and the real-life three-dimensional scene data and related auxiliary data can be obtained efficiently and comprehensively, and the real-life three-dimensional scene can be further established. The site selection of the photovoltaic power station can be carried out based on the real-life three-dimensional scene and related auxiliary data, and the site selection of the photovoltaic power station can be completed efficiently, scientifically and reasonably. Therefore, this application can complete the site selection of the photovoltaic power station efficiently, scientifically and reasonably. BRIEF DESCRIPTION OF THE DRAWINGS

[0025] In order to more clearly illustrate the embodiments of the present application or the technical solutions in the prior art, the drawings required for use in the embodiments will be briefly introduced below. Obviously, the drawings described below are only some embodiments of the present application. For ordinary technicians in this field, other drawings can be obtained based on these drawings without paying creative work.

[0026] Figure 1 This is an application environment diagram of a photovoltaic power station site selection method based on a real-life three-dimensional scene provided in Example 1 of the present application.

[0027] Figure 2 A schematic flow chart of a photovoltaic power station site selection method based on a real-life three-dimensional scene provided in Example 1 of the present application.

[0028] Figure 3A schematic diagram of a technical route for a photovoltaic power station site selection method based on a real-life three-dimensional scene provided in Example 1 of the present application.

[0029] Figure 4 A schematic diagram of the initial position area provided in Example 1 of the present application.

[0030] Figure 5 A schematic diagram of the slope and slope direction provided in Example 1 of the present application; wherein, Figure 5 (a) is the slope, Figure 5 (b) in the figure is the slope direction.

[0031] Figure 6 This is a schematic diagram of the simulation of the shadow area corresponding to the rectangular feature provided in Example 1 of the present application; wherein: Figure 6 (a) is the shaded area of ​​the vernal equinox. Figure 6 (b) is the shaded area at the summer solstice. Figure 6 (c) is the shaded area of ​​the autumnal equinox. Figure 6 (d) is the shaded area at the winter solstice.

[0032] Figure 7 A schematic diagram of the first position area provided in Example 1 of the present application.

[0033] Figure 8 A schematic diagram of the simulation of solar radiation intensity provided in Example 1 of the present application.

[0034] Fig. 9 A schematic diagram of the second location area provided in Example 1 of the present application.

[0035] Fig.10 A schematic diagram of the optimal site selection for a photovoltaic power station provided in Example 1 of the present application.

[0036] Fig.11 A schematic diagram of the functional modules of a photovoltaic power station site selection device based on a real three-dimensional scene provided in Example 2 of the present application.

[0037] Fig.12 A schematic diagram of the structure of a computer device provided in Example 3 of the present application. DETAILED DESCRIPTION

[0038] The following will be combined with the drawings in the embodiments of the present application to clearly and completely describe the technical solutions in the embodiments of the present application. Obviously, the described embodiments are only part of the embodiments of the present application, not all of the embodiments. Based on the embodiments in the present application, all other embodiments obtained by ordinary technicians in this field without creative work are within the scope of protection of this application.

[0039] Example 1

[0040] The photovoltaic power station site selection method based on real-life three-dimensional scenes provided in the embodiments of the present application can be applied to Figure 1 In the application environment shown, the terminal communicates with the server through the network. The data storage system can store the data that the server needs to process. The data storage system can be set up separately, integrated on the server, or placed on the cloud or other servers. The terminal can send the photovoltaic power station site selection request to be processed to the server. After the server receives the photovoltaic power station site selection request to be processed, the server obtains the real-life three-dimensional scene data and related auxiliary data of the study area for the photovoltaic power station site selection request to be processed, and establishes a real-life three-dimensional scene according to the real-life three-dimensional scene data; the study area is screened based on the land use data to obtain the initial position area; the slope and slope direction of each first unit area in the initial position area are calculated based on the DEM data, the shadow area in the initial position area is determined based on the real-life three-dimensional model, the initial position area is screened based on the slope and slope direction of each first unit area and the shadow area to obtain the first position area; the solar radiation intensity of each second unit area in the first position area is calculated based on the meteorological data and the photovoltaic panel parameters, the first position area is screened based on the solar radiation intensity of each second unit area to obtain the second position area; the permanent basic farmland, cultivated land, ecological protection red line and geological disaster point area are removed from the second position area to obtain the third position area; the third position area is screened based on the land planning data and the road network data to obtain the photovoltaic power station deployment area, and the photovoltaic power station site selection is completed. The server may feed back the obtained site selection result of the photovoltaic power station deployment area for the photovoltaic power station site selection request to the terminal.

[0041] In addition, in some embodiments, the photovoltaic power station site selection method based on the real three-dimensional scene can also be implemented independently by a server or a terminal. For example, the terminal can directly process the photovoltaic power station site selection request to be processed, or the server can obtain the photovoltaic power station site selection request to be processed from the data storage system and process the photovoltaic power station site selection request to be processed.

[0042] The terminals may be, but are not limited to, various desktop computers, laptops, smart phones, tablet computers, IoT devices and portable wearable devices. IoT devices may be smart speakers, smart TVs, smart air conditioners, smart car-mounted devices, etc. Portable wearable devices may be smart watches, smart bracelets, head-mounted devices, etc. The server may be implemented as an independent server or a server cluster consisting of multiple servers, or a cloud server.

[0043] In an exemplary embodiment, Figure 2 and Figure 3As shown, a photovoltaic power station site selection method based on a real three-dimensional scene is provided. The method is executed by a computer device, and can be executed by a computer device such as a terminal or a server alone, or by a terminal and a server together. In the embodiment of the present application, the method is applied to Figure 1 The following steps are used to illustrate the server in the example.

[0044] Step S1, obtaining real-life three-dimensional scene data and related auxiliary data of the study area, and establishing a real-life three-dimensional scene based on the real-life three-dimensional scene data; the real-life three-dimensional scene data includes satellite images of the study area, topographic maps of the study area, aerial photographs of the target area in the study area, and three-dimensional point cloud data of the target area in the study area; the related auxiliary data includes permanent basic farmland, cultivated land, ecological protection red lines, geological disaster points, land use data, land planning data, road network data, meteorological data, and photovoltaic panel parameters in the study area; the real-life three-dimensional scene includes a real-life three-dimensional model and DEM data.

[0045] Step S2, screening the study area based on the land use data to obtain an initial location area; the initial location area is the area where the shrub forest, grassland and orchard are located.

[0046] Step S3, calculating the slope and aspect of each first unit area in the initial position area based on the DEM data, determining the shadow area in the initial position area based on the real-scene three-dimensional model, and screening the initial position area based on the slope and aspect of each first unit area and the shadow area to obtain a first position area; the first position area includes a first unit area whose slope is within a preset slope threshold range, whose aspect is within a preset aspect threshold range and which does not belong to a shadow area.

[0047] Step S4, calculating the solar radiation intensity of each second unit area in the first position area based on the meteorological data and the photovoltaic panel parameters, and screening the first position area based on the solar radiation intensity of each second unit area to obtain a second position area; the second position area includes a second unit area whose average solar radiation intensity is greater than a preset mean threshold and whose variance of the solar radiation intensity is less than a preset variance threshold.

[0048] Step S5, removing permanent basic farmland, cultivated land, ecological protection red line and areas where geological disaster points are located in the second location area to obtain a third location area.

[0049] Step S6, screening the third location area based on the land planning data and the road network data to obtain a photovoltaic power station deployment area, thereby completing the photovoltaic power station site selection.

[0050] By implementing the above-mentioned steps S1 to S6, this embodiment obtains real-life three-dimensional scene data and related auxiliary data of the study area, establishes a real-life three-dimensional scene based on the real-life three-dimensional scene data, and further combines the real-life three-dimensional scene and related auxiliary data to complete the site selection of the photovoltaic power station. Compared with two-dimensional geographic information data, the real-life three-dimensional scene can intuitively and comprehensively display complex terrain and landform features and the spatial relationship between objects. Further, based on the real-life three-dimensional scene and related auxiliary data, the site selection of the photovoltaic power station can be completed scientifically and reasonably. Compared with the data obtained from the on-site survey, the real-life three-dimensional scene data and related auxiliary data do not need to be obtained through on-site survey, and the real-life three-dimensional scene data and related auxiliary data can be obtained efficiently and comprehensively. Further, the real-life three-dimensional scene is established, and the site selection of the photovoltaic power station is carried out based on the real-life three-dimensional scene and related auxiliary data. The site selection of the photovoltaic power station can be completed efficiently, scientifically and reasonably. At the same time, traditional photovoltaic power station site selection methods often lack comprehensive consideration of multiple factors, such as meteorological conditions, ecological environment, land resource planning, etc. This application introduces relevant auxiliary data and selects the site of the photovoltaic power station based on the real-life three-dimensional scene and relevant auxiliary data. It can comprehensively consider multiple factors and further improve scientific rationality.

[0051] This embodiment takes into account that the emergence of real-scene three-dimensional technology provides a new way and method to solve the problems existing in the traditional photovoltaic power station site selection method. Through real-scene three-dimensional modeling, the terrain, objects and other information of the study area can be intuitively presented in a three-dimensional form, so that the site selection personnel can more accurately understand the spatial characteristics of the study area, including the undulating changes of the terrain, the distribution of buildings and vegetation, and the mutual occlusion relationship between them. This embodiment combines advanced surveying and mapping methods, such as drone low-altitude photogrammetry, laser radar scanning, etc., to quickly obtain high-precision real-scene three-dimensional scene data, greatly improving the efficiency and accuracy of data acquisition. At the same time, this embodiment, with the help of the powerful spatial analysis function of the Geographic Information System (GIS) platform, can integrate and comprehensively analyze multi-source information (i.e., related auxiliary data) such as terrain analysis, meteorological data, land use planning, and ecological environment assessment, to achieve a comprehensive and refined evaluation of photovoltaic site selection, thereby more scientifically and reasonably determining the optimal construction location of the photovoltaic power station.

[0052] This embodiment first obtains real-life three-dimensional scene data and related auxiliary data of the research area.

[0053] According to the task requirements, the real-life 3D scene data may include satellite images of the study area (i.e., images obtained by imaging the study area using satellites), topographic maps of the study area, aerial photographs of the target area in the study area, and 3D point cloud data of the target area in the study area, etc. The topographic map refers to the projection of the surface undulations, geographical location, and shape on the horizontal plane. Specifically, the objects and landforms on the ground are horizontally projected and scaled onto the drawing at a certain scale to obtain a topographic map. Since there will be areas that users focus on in the study area, the areas that users focus on are recorded as target areas, and the target areas are further imaged and scanned using sensors carried by drones to obtain aerial photographs and 3D point cloud data of the target areas. Since the aerial photographs do not have coordinate points, the present embodiment may also set multiple control points in the aerial photographs, manually measure the 3D coordinates of each control point, and align the aerial photographs in combination with the 3D coordinates of the control points, so that the aerial photographs have coordinate information, and finally establish the real-life 3D scene in combination with the aligned aerial photographs.

[0054] Relevant auxiliary data include permanent basic farmland, cultivated land, ecological protection red lines, geological disaster sites, land use data, land planning data, road network data, meteorological data and photovoltaic panel parameters in the study area. Permanent basic farmland refers to the cultivated land that shall not be occupied according to the demand for agricultural products of population and socio-economic development in a certain period and determined according to the overall land use plan. Cultivated land is land formed by natural soil development and capable of growing crops, and has a natural environment for the growth, development and maturity of crops. Ecological protection red lines refer to land with special and important ecological functions within the scope of ecological space and must be strictly and compulsorily occupied. The land use data refers to the type of land, such as agricultural land, commercial land, construction land, etc. Agricultural land can include cultivated land, gardens, woodlands, pastures, other agricultural land, etc. Land planning data refers to the planning of land, including plannable land (which can be used to deploy photovoltaic power stations) and unplannable land (which cannot be used to deploy photovoltaic power stations). Road network data refers to the traffic road network composed of many roads such as main roads, auxiliary roads, branch roads, and fork roads. Meteorological data refers to the weather. Photovoltaic panel parameters refer to the inclination angle of photovoltaic panels.

[0055] After obtaining the real-life 3D scene data, this embodiment further establishes a real-life 3D scene based on the real-life 3D scene data, and the real-life 3D scene includes a real-life 3D model and DEM (Digital Elevation Model) data. Specifically, the acquired real-life 3D scene data is processed using conventional technology to generate a real-life 3D model and DEM data to obtain a real-life 3D scene. The real-life 3D model is equivalent to a 3D display of the study area, specifically presenting the topography, objects and other information of the study area in a 3D form, including the undulations of the terrain, the distribution of buildings and vegetation, and the mutual occlusion relationship between them.

[0056] After obtaining the relevant auxiliary data, this embodiment further screens the study area based on the land use data to obtain the initial location area, which is the area where the shrubs, grasslands, and orchards are located. Specifically, using the land use data, the areas where the shrubs, grasslands, and orchards are located in the study area are extracted to form the initial location area P0, such as Figure 4 shown.

[0057] After obtaining the real three-dimensional scene, this embodiment further calculates the slope and aspect of each first unit area in the initial position area based on the DEM data to extract the slope and aspect from the real three-dimensional scene data, determines the shadow area in the initial position area based on the real three-dimensional model, and screens the initial position area based on the slope and aspect of each first unit area and the shadow area to obtain the first position area, which includes a first unit area whose slope is within a preset slope threshold range, whose aspect is within a preset aspect threshold range and which does not belong to the shadow area, thereby obtaining the topography and shadow information according to the real three-dimensional scene data, and extracting the first position area in the initial position area.

[0058] In this embodiment, the first unit area can be set manually by dividing the initial position area, and there is no need to design the first unit area to be completely the same in shape and size.

[0059] In this embodiment, the calculation formula of the slope is:

[0060]

[0061] Where S1 is the slope; f x is the elevation change rate in the north-south direction of the first unit area, determined according to the DEM data; f yis the elevation change rate in the east-west direction of the first unit area, which is determined based on the DEM data. It should be noted that the DEM data can provide the elevation information of each location point in the first unit area. The elevation change rate in the north-south direction and the elevation change rate in the east-west direction can be calculated through the elevation information, and the slope can be further calculated, such as Figure 5 As shown in (a) in .

[0062] In this embodiment, the calculation formula of the slope direction is:

[0063]

[0064] Among them, A1 is the slope direction, such as Figure 5 As shown in (b) in .

[0065] For each first unit area in the initial position area, the slope and slope direction of the first unit area can be calculated using the above formula.

[0066] In this embodiment, the height information of the objects in the real-scene 3D model is used to analyze the blocking of sunlight by objects such as buildings and mountains, and the shadow range is obtained by calculating the solar altitude angle and azimuth angle in different time periods. At this time, the shadow area in the initial position area is determined based on the real-scene 3D model, specifically including: for each object in the real-scene 3D model, the solar altitude angle and azimuth angle corresponding to the object are calculated for each hour of each day of the year, based on the shape, size and solar altitude angle and azimuth angle corresponding to each hour of each day of the year, the shadow area corresponding to the object is determined for each hour of each day of the year, based on the shadow area corresponding to the object for each hour of each day of the year, the shadow area corresponding to the object for each hour of each day of the year is determined, and the union of the shadow areas corresponding to the object for each hour of each day of the year is calculated to obtain the shadow area corresponding to the object, and the objects include buildings and mountains, etc. The union of the shadow areas corresponding to all objects is calculated to obtain the shadow area in the initial position area.

[0067] The calculation formula for the solar altitude angle is:

[0068]

[0069] Where, h is the solar altitude angle; is the geographical latitude, which at this time refers to the geographical latitude corresponding to the first unit area where the feature is located; δ is the solar declination, which is determined according to the date corresponding to each day of the year; ω is the hour angle, which is determined according to the solar time corresponding to each hour of each day of the year, starting from the noon of the solar time, ω=(t-12)×15°, t is the solar time corresponding to each hour of each day of the year.

[0070] Using the above formula, we can calculate the solar altitude angle corresponding to the object every hour of every day of the year.

[0071] The calculation formula for the azimuth angle is:

[0072]

[0073] Among them, A2 is the azimuth.

[0074] Using the above formula, we can calculate the azimuth angle of the object at every hour of every day of the year.

[0075] When the shape of the feature is a rectangle, the size of the feature includes the length and width of the rectangle. At this time, the calculation formula for the shadow area of ​​the rectangular feature is:

[0076] S2=L×W×|cosA2|×|coth|;

[0077] Among them, S2 is the shaded area; L is the length of the rectangle; W is the width of the rectangle.

[0078] When the shape of the feature is cylindrical, the size of the feature includes the base radius and height of the cylinder. At this time, the calculation formula for the shadow area of ​​the cylindrical feature is:

[0079] S2=2r×h c ×|cosA2|+πr 2 ×|coth| 2 ;

[0080] Where r is the radius of the bottom of the cylinder; h c The height of the cylinder.

[0081] When the shape of the feature is an irregular polygon, the size of the feature includes the base length and height of each triangle obtained by segmenting the irregular polygon. At this time, the calculation formula for the shadow area of ​​the irregular polygon feature is:

[0082]

[0083] Where n is the total number of triangles obtained by segmenting the irregular polygon; a i is the length of the base of the i-th triangle obtained by segmenting the irregular polygon; b i is the height of the i-th triangle obtained by segmenting the irregular polygon.

[0084] Using the above formula, the shadow area corresponding to the feature every hour of every day of the year can be calculated based on the solar altitude angle and azimuth, and the shadow region can be further determined based on the shadow area. Specifically, based on the three-dimensional coordinates (X, Y, Z) of the vertices of the feature in the real-life three-dimensional model, the two-dimensional coordinates of each vertex on the projection plane are further calculated according to the position of the sun's rays (which can be determined by the solar altitude angle and azimuth), and the projection point corresponding to each vertex is determined. Based on the shadow area, each projection point is connected to form a shadow region, thereby obtaining the shadow region corresponding to the feature every hour of every day of the year, and further calculating the union of the shadow regions corresponding to the feature every hour of every day of the year to obtain the shadow region corresponding to the feature, such as Figure 6 As shown, it is the shadow area corresponding to a rectangular feature with a length of 200 m and a width of 80 m. Finally, the union of the shadow areas corresponding to all the features is calculated to obtain the shadow area in the initial position area.

[0085] In this embodiment, an area with a slope satisfying 15°≤S1≤45°, a slope direction satisfying 158°≤A1≤202° and no shadow coverage is selected as the first position area P1. Figure 7 As shown, at this time, the initial position area is screened based on the slope and slope direction of each first unit area and the shadow area to obtain the first position area, specifically including: for each first unit area, judging whether the slope of the first unit area is within the preset slope threshold range, whether the slope direction of the first unit area is within the preset slope threshold range and whether the first unit area does not belong to the shadow area, if so, the first unit area is recorded as the selected area, and all the selected areas are combined into the first position area, wherein the preset slope threshold range is [15°, 45°], and the preset slope threshold range is [158°, 202°].

[0086] After obtaining the relevant auxiliary data, the present embodiment further calculates the solar radiation intensity of each second unit area in the first position area based on the meteorological data and the photovoltaic panel parameters, and screens the first position area based on the solar radiation intensity of each second unit area to obtain the second position area. The second position area includes second unit areas whose average solar radiation intensity is greater than a preset mean threshold and whose variance of the solar radiation intensity is less than a preset variance threshold, thereby obtaining the solar radiation intensity based on the relevant auxiliary data, and further extracting the second position area from the first position area.

[0087] In this embodiment, the second unit area can be set manually by dividing the first position area, and there is no need to design the second unit area to be completely the same in shape and size.

[0088] In this embodiment, the solar radiation intensity of each second unit area in the first position area is calculated based on meteorological data and photovoltaic panel parameters, and the first position area is screened based on the solar radiation intensity of each second unit area to obtain the second position area, specifically including:

[0089] (1) For each second unit area in the first location area, based on meteorological data and photovoltaic panel parameters, the direct solar radiation intensity of the second unit area is calculated every hour of every day of the year. Based on the direct solar radiation intensity of the second unit area every hour of every day of the year, the direct radiation intensity of the photovoltaic panel, the scattered radiation intensity of the photovoltaic panel and the reflected radiation intensity of the photovoltaic panel in the second unit area are calculated every hour of every day of the year. The sum of the direct radiation intensity, the scattered radiation intensity and the reflected radiation intensity of the photovoltaic panel in the second unit area every hour of every day of the year is calculated to obtain the solar radiation intensity of the second unit area every hour of every day of the year.

[0090] When the sun reaches the surface of the earth, the calculation formula for the direct solar radiation intensity (perpendicular to the plane of sunlight) is:

[0091]

[0092] Among them, I n is the direct solar radiation intensity; n is the date serial number, which is determined according to the date corresponding to each day of the year. Specifically, each day of the year is recorded as 1, 2, 3...; h is the solar altitude angle. At this time, the calculation formula of h is the geographic latitude corresponding to the second unit area; C is the coefficient of atmospheric transparency, which is determined according to the weather corresponding to each hour of each day of the year. The weather is determined based on meteorological data. For example, on a sunny day, C=0.33.

[0093] The calculation formula for the direct radiation intensity of photovoltaic panels is:

[0094] I nβ =I n cosθ;

[0095] Among them, I nβ is the direct radiation intensity of the photovoltaic panel; θ is the angle between the normal of the photovoltaic panel surface (i.e. the slope) and the sunlight, β is the inclination of the photovoltaic panel, which is determined according to the photovoltaic panel parameters; δ is the solar declination, which is determined according to the date corresponding to each day of the year. is the geographic latitude, which here refers to the geographic latitude corresponding to the second unit area, ω is the hour angle, which is determined according to the solar time corresponding to each hour of each day of the year, ω=(t-12)×15°, t is the solar time corresponding to each hour of each day of the year, α is the angle between the normal of the photovoltaic panel plane and the north-south direction, if in the northern hemisphere, when the photovoltaic panel is placed facing south, α=0.

[0096] The calculation formula for the scattered radiation intensity of photovoltaic panels is:

[0097]

[0098] Among them, I sβ is the scattered radiation intensity of the photovoltaic panel; m is the atmospheric transparency, which is determined according to the weather corresponding to each hour of each day of the year. The weather is determined based on meteorological data. For example, on a sunny day, m=0.80.

[0099] The calculation formula for the reflected radiation intensity of the photovoltaic panel (i.e. the radiation intensity component reflected by the ground surface on the slope of the photovoltaic panel) is:

[0100]

[0101] Among them, I gβ is the radiation intensity reflected by the photovoltaic panel; ρ is the ground reflectivity, which is generally taken as 0.2.

[0102] The total solar radiation intensity on the slope of the photovoltaic panel is obtained by adding the direct radiation intensity of the photovoltaic panel, the scattered radiation intensity of the photovoltaic panel and the reflected radiation intensity of the photovoltaic panel. The calculation formula of the solar radiation intensity is:

[0103] I=I nβ +I sβ +I gβ ;

[0104] Where I is the solar radiation intensity.

[0105] (2) For each second unit area in the first position area, determine whether the average value of the solar radiation intensity of the second unit area every hour of every day of the year is greater than a preset mean threshold, and whether the variance of the solar radiation intensity of the second unit area every hour of every day of the year is less than a preset variance threshold. If so, the second unit area is recorded as a filtered area, and all filtered areas are combined into a second position area.

[0106] In order to simplify the calculation, this embodiment can calculate the solar radiation intensity of the second unit area in each month of the year according to the solar radiation intensity of the second unit area every hour of every day of the year, and specifically calculate the average value of the solar radiation intensity of every hour of every day in the month. The result is as follows: Figure 8 As shown, Figure 8In the figure, the horizontal plane irradiance represents the solar radiation intensity of the month when the inclination angle of the photovoltaic panel is 0, the inclined plane irradiance represents the solar radiation intensity of the month when the inclination angle of the photovoltaic panel is not 0, the monthly minimum value of the inclined plane represents the minimum value of the solar radiation intensity of each hour of each day in the month when the inclination angle of the photovoltaic panel is not 0, and the monthly average value of the inclined plane represents the average value of the solar radiation intensity of each hour of each day in the month when the inclination angle of the photovoltaic panel is not 0, that is, the solar radiation intensity of the month. Subsequently, it is determined whether the average value of the solar radiation intensity of the second unit area in each month of the year is greater than the preset mean threshold, and whether the variance of the solar radiation intensity of the second unit area in each month of the year is less than the preset variance threshold. If so, the second unit area is recorded as the screened area, and all the screened areas are combined into the second position area.

[0107] Through the above steps, this embodiment calculates the direct radiation intensity of the photovoltaic panel, the scattered radiation intensity of the photovoltaic panel, and the reflected radiation intensity of the photovoltaic panel, and adds the direct radiation intensity of the photovoltaic panel, the scattered radiation intensity of the photovoltaic panel, and the reflected radiation intensity of the photovoltaic panel to obtain the solar radiation intensity. By simulating the distribution of solar radiation intensity in different seasons, different time periods, and different photovoltaic panel inclinations, a second unit area with high and stable solar radiation intensity is selected as a candidate area for photovoltaic panel installation, and a second position area P2 is obtained. Fig. 9 shown.

[0108] In this embodiment, permanent basic farmland, cultivated land, ecological protection red lines and geological disaster points are removed from the second position area to obtain a third position area. After avoiding permanent basic farmland, cultivated land, ecological protection red lines and geological disaster points, the third position area is further screened based on land planning data and road network data, and areas that meet relevant planning land use requirements and traffic requirements are selected to obtain photovoltaic power station deployment areas and complete photovoltaic power station site selection, thereby obtaining the best site selection for the photovoltaic power station based on real-life three-dimensional scene data, relevant auxiliary data, the first position area and the second position area.

[0109] In this embodiment, the third position area is screened based on the land planning data and the road network data to obtain the photovoltaic power station deployment area, specifically including: the third position area is screened based on the land planning data and the road network data to obtain the fourth position area, the fourth position area includes an area that meets the relevant planning land requirements and meets the traffic requirements, meeting the relevant planning land requirements means that it is determined according to the land planning data that this area belongs to plannable land, and meeting the traffic requirements means that it is manually determined that the traffic in this area is good according to the road network data; the fourth position area with an area within the preset area threshold range is selected as the photovoltaic power station deployment area, the preset area threshold range is [50 mu, 100 mu], that is, the fourth position area with an area of ​​50 mu to 100 mu in the fourth position area is selected as the best site for the photovoltaic power station, such as Fig.10 shown.

[0110] The present embodiment discloses a method for selecting a site for a photovoltaic power station based on a real three-dimensional scene, the method comprising: obtaining real three-dimensional scene data and related auxiliary data, establishing a real three-dimensional scene based on the real three-dimensional scene data, extracting an initial position area based on the related auxiliary data, obtaining topography and shadow information according to the real three-dimensional scene data, extracting a first position area in the initial position area, obtaining solar radiation intensity according to the related auxiliary data, extracting a second position area in the first position area, screening the second position area according to the real three-dimensional scene data, the related auxiliary data, the first position area, and the second position area, and obtaining the best site selection for the photovoltaic power station. The method can exclude plots that do not meet the construction requirements based on the real three-dimensional scene data by using slope, slope direction, shadow information, etc., calculate the solar radiation intensity at different positions by analyzing the solar radiation data, and screen out plots with good sunshine conditions. It also integrates meteorological data, land planning data, permanent basic farmland, etc., and determines the optimal construction location of the photovoltaic power station through a comprehensive evaluation of multiple factors. It has significant economic and environmental benefits and strongly promotes the sustainable development of the photovoltaic industry.

[0111] The photovoltaic power station site selection method proposed in this embodiment circumvents the limitations of traditional photovoltaic power station site selection methods to a certain extent, integrates multiple resources and takes into account the breadth and accuracy of evaluation, and has the following technical effects: by using real-life three-dimensional scene data to accurately analyze the terrain and comprehensively judge the obstruction of buildings, trees, etc., the accuracy of site selection can be effectively improved; by analyzing the solar radiation intensity data, areas with longer sunshine time and higher radiation intensity are screened out to maximize photovoltaic power generation; by using multi-source and multi-factor data for comprehensive evaluation, it is possible to comprehensively consider the impact of the interaction of various factors and make more scientific and reasonable site selection decisions.

[0112] The present application also provides an application scenario, which applies the above-mentioned photovoltaic power station site selection method based on real-life three-dimensional scenes. Specifically, the photovoltaic power station site selection method based on real-life three-dimensional scenes provided in this embodiment can be applied in photovoltaic power station construction scenarios. Photovoltaic power station construction scenarios include site selection links and construction links. The site selection link is used to determine the photovoltaic power station deployment area based on the real-life three-dimensional scene data and related auxiliary data of the study area to complete the photovoltaic power station site selection. The construction link is used to deploy the photovoltaic power station in the selected photovoltaic power station deployment area. The photovoltaic power station site selection method based on real-life three-dimensional scenes provided in this embodiment belongs to the site selection link.

[0113] Example 2

[0114] Based on the same inventive concept, the embodiment of the present application also provides a photovoltaic power station site selection device based on a real three-dimensional scene for implementing the photovoltaic power station site selection method based on a real three-dimensional scene involved above. The implementation scheme for solving the problem provided by the device is similar to the implementation scheme recorded in the above method, so the specific limitations in one or more embodiments of the photovoltaic power station site selection device based on a real three-dimensional scene provided below can refer to the limitations of the photovoltaic power station site selection method based on a real three-dimensional scene above, and will not be repeated here.

[0115] In an exemplary embodiment, Fig.11 As shown, a photovoltaic power station site selection device based on a real three-dimensional scene is provided, and the photovoltaic power station site selection device based on a real three-dimensional scene includes:

[0116] The scene construction module M1 is used to obtain real-life three-dimensional scene data and related auxiliary data of the study area, and to establish a real-life three-dimensional scene based on the real-life three-dimensional scene data; the real-life three-dimensional scene data includes satellite images of the study area, topographic maps of the study area, aerial photographs of the target area in the study area, and three-dimensional point cloud data of the target area in the study area; the related auxiliary data includes permanent basic farmland, cultivated land, ecological protection red lines, geological disaster points, land use data, land planning data, road network data, meteorological data, and photovoltaic panel parameters in the study area; the real-life three-dimensional scene includes a real-life three-dimensional model and DEM data.

[0117] The first screening module M2 is used to screen the research area based on the land use data to obtain an initial location area; the initial location area is the area where the shrub forest, grassland and orchard are located.

[0118] The second screening module M3 is used to calculate the slope and aspect of each first unit area in the initial position area based on the DEM data, determine the shadow area in the initial position area based on the real-scene three-dimensional model, and screen the initial position area based on the slope and aspect of each first unit area and the shadow area to obtain a first position area; the first position area includes a first unit area whose slope is within a preset slope threshold range, whose aspect is within a preset aspect threshold range and which does not belong to a shadow area.

[0119] The third screening module M4 is used to calculate the solar radiation intensity of each second unit area in the first position area based on the meteorological data and the photovoltaic panel parameters, and screen the first position area based on the solar radiation intensity of each second unit area to obtain the second position area; the second position area includes a second unit area whose average solar radiation intensity is greater than a preset mean threshold and whose variance of solar radiation intensity is less than a preset variance threshold.

[0120] The fourth screening module M5 is used to remove permanent basic farmland, cultivated land, ecological protection red line and geological disaster points from the second location area to obtain a third location area.

[0121] The fifth screening module M6 is used to screen the third location area based on the land planning data and the road network data to obtain the photovoltaic power station deployment area and complete the photovoltaic power station site selection.

[0122] Example 3

[0123] In an exemplary embodiment, a computer device is provided. The computer device may be a server or a terminal. The internal structure diagram thereof may be as follows: Fig.12 As shown. The computer device includes a processor, a memory, an input / output interface (Input / Output, referred to as I / O) and a communication interface. The processor, the memory and the input / output interface are connected through a system bus, and the communication interface is connected to the system bus through the input / output interface. The processor of the computer device is used to provide computing and control capabilities. The memory of the computer device includes a non-volatile storage medium and an internal memory. The non-volatile storage medium stores an operating system, a computer program and a database. The internal memory provides an environment for the operation of the operating system and the computer program in the non-volatile storage medium. The database of the computer device is used to store data. The input / output interface of the computer device is used to exchange information between the processor and an external device. The communication interface of the computer device is used to communicate with an external terminal through a network connection. When the computer program is executed by the processor, a photovoltaic power station site selection method based on a real three-dimensional scene is implemented.

[0124] Those skilled in the art will understand that Fig.12 The structure shown in the figure is only a block diagram of a part of the structure related to the solution of the present application, and does not constitute a limitation on the computer device to which the solution of the present application is applied. The specific computer device may include more or fewer components than those shown in the figure, or combine certain components, or have a different arrangement of components.

[0125] In an exemplary embodiment, a computer device is provided, including a memory and a processor, wherein a computer program is stored in the memory, and when the processor executes the computer program, the photovoltaic power station site selection method based on a real three-dimensional scene in Example 1 is implemented.

[0126] Example 4

[0127] In an exemplary embodiment, a computer-readable storage medium is provided, storing a computer program, which, when executed by a processor, implements the photovoltaic power station site selection method based on a real three-dimensional scene in Example 1.

[0128] Example 5

[0129] In an exemplary embodiment, a computer program product is provided, including a computer program, which, when executed by a processor, implements the photovoltaic power station site selection method based on a real three-dimensional scene in Embodiment 1.

[0130] It should be noted that the user information (including but not limited to user device information, user personal information, etc.) and data (including but not limited to data used for analysis, stored data, displayed data, etc.) involved in this application are all information and data authorized by the user or fully authorized by all parties, and the collection, use and processing of relevant data must comply with relevant regulations.

[0131] The technical features of the above embodiments may be combined arbitrarily. To make the description concise, not all possible combinations of the technical features in the above embodiments are described. However, as long as there is no contradiction in the combination of these technical features, they should be considered to be within the scope of this specification.

[0132] This article uses specific examples to illustrate the principles and implementation methods of this application. The description of the above embodiments is only used to help understand the method and core ideas of this application. At the same time, for those skilled in the art, according to the ideas of this application, there will be changes in the specific implementation methods and application scope. In summary, the content of this specification should not be understood as limiting this application.

Claims

1. A photovoltaic power station site selection method based on real three-dimensional scene, characterized in that: The photovoltaic power station site selection method based on real three-dimensional scene includes: Acquire real-life 3D scene data and related auxiliary data of the study area, and establish a real-life 3D scene based on the real-life 3D scene data; the real-life 3D scene data includes satellite images of the study area, topographic maps of the study area, aerial photographs of target areas in the study area, and 3D point cloud data of target areas in the study area; the related auxiliary data includes permanent basic farmland, cultivated land, ecological protection red lines, geological disaster points, land use data, land planning data, road network data, meteorological data, and photovoltaic panel parameters in the study area; the real-life 3D scene includes a real-life 3D model and DEM data; The study area is screened based on the land use data to obtain an initial location area; the initial location area is an area where shrubs, grasslands and orchards are located; Calculate the slope and aspect of each first unit area in the initial position area based on the DEM data, determine the shadow area in the initial position area based on the real-scene three-dimensional model, and screen the initial position area based on the slope and aspect of each first unit area and the shadow area to obtain a first position area; the first position area includes a first unit area whose slope is within a preset slope threshold range, whose aspect is within a preset aspect threshold range and which does not belong to the shadow area; Calculate the solar radiation intensity of each second unit area in the first position area based on the meteorological data and the photovoltaic panel parameters, and screen the first position area based on the solar radiation intensity of each second unit area to obtain a second position area; the second position area includes a second unit area whose average solar radiation intensity is greater than a preset mean threshold and whose variance of solar radiation intensity is less than a preset variance threshold; Remove permanent basic farmland, cultivated land, ecological protection red line and geological disaster point areas from the second location area to obtain a third location area; The third location area is screened based on the land planning data and the road network data to obtain a photovoltaic power station deployment area, thereby completing the site selection of the photovoltaic power station.

2. The photovoltaic power station site selection method based on real three-dimensional scene according to claim 1 is characterized in that: The slope calculation formula is: Where S1 is the slope; f x is the elevation change rate in the north-south direction of the first unit area, determined according to the DEM data; f y is the rate of elevation change in the east-west direction of the first unit area, determined based on DEM data; The calculation formula for slope aspect is: Among them, A1 is the slope direction.

3. The photovoltaic power station site selection method based on real three-dimensional scene according to claim 1 is characterized in that: Determining the shadow area in the initial position area based on the real scene three-dimensional model specifically includes: For each feature in the real-scene three-dimensional model, the solar altitude angle and azimuth angle corresponding to the feature for each hour of each day of the year are calculated, and based on the shape, size, and solar altitude angle and azimuth angle corresponding to the feature for each hour of each day of the year, the shadow area corresponding to the feature for each hour of each day of the year is determined, and based on the shadow area corresponding to the feature for each hour of each day of the year, the shadow region corresponding to the feature for each hour of each day of the year is determined, and the union of the shadow regions corresponding to the feature for each hour of each day of the year is calculated to obtain the shadow region corresponding to the feature; the features include buildings and mountains; Calculate the union of shadow areas corresponding to all the ground objects to obtain the shadow area in the initial position area; The calculation formula for the solar altitude angle is: Where, h is the solar altitude angle; is the geographic latitude; δ is the solar declination, which is determined according to the date corresponding to each day of the year; ω is the hour angle, which is determined according to the solar time corresponding to each hour of each day of the year, ω=(t-12)×15°, t is the solar time corresponding to each hour of each day of the year; The calculation formula for the azimuth angle is: Among them, A2 is the azimuth; When the shape of the feature is a rectangle, the size of the feature includes the length and width of the rectangle. In this case, the calculation formula of the shadow area is: S2=L×W×|cosA2|×|coth|; Where S2 is the shaded area; L is the length of the rectangle; W is the width of the rectangle; When the shape of the feature is cylindrical, the size of the feature includes the bottom radius and height of the cylinder. In this case, the calculation formula of the shadow area is: S2=2r×h c ×|cosA2|+πr 2 ×|food| 2 ; Where r is the radius of the bottom of the cylinder; h c The height of the cylinder; When the shape of the feature is an irregular polygon, the size of the feature includes the base length and height of each triangle obtained by segmenting the irregular polygon. In this case, the calculation formula for the shadow area is: Where n is the total number of triangles obtained by segmenting the irregular polygon; a i is the length of the base of the i-th triangle obtained by segmenting the irregular polygon; b i is the height of the i-th triangle obtained by segmenting the irregular polygon.

4. The photovoltaic power station site selection method based on real three-dimensional scene according to claim 1, characterized in that: The initial position area is screened based on the slope and the slope direction of each first unit area and the shadow area to obtain the first position area, specifically including: For each first unit area, determine whether the slope of the first unit area is within a preset slope threshold range, whether the slope direction of the first unit area is within a preset slope direction threshold range, and whether the first unit area does not belong to a shadow area. If so, record the first unit area as a selected area, and form all the selected areas into a first position area; the preset slope threshold range is [15°, 45°], and the preset slope direction threshold range is [158°, 202°].

5. The photovoltaic power station site selection method based on real three-dimensional scene according to claim 1, characterized in that: The method further comprises: calculating the solar radiation intensity of each second unit area in the first position area based on the meteorological data and the photovoltaic panel parameters, and screening the first position area based on the solar radiation intensity of each second unit area to obtain the second position area. Specifically, the method comprises: For each second unit area in the first location area, based on the meteorological data and the photovoltaic panel parameters, calculate the direct solar radiation intensity of the second unit area every hour of every day of the year, calculate the direct radiation intensity of the photovoltaic panel, the scattered radiation intensity of the photovoltaic panel and the reflected radiation intensity of the photovoltaic panel in the second unit area every hour of every day of the year, calculate the sum of the direct radiation intensity of the photovoltaic panel, the scattered radiation intensity of the photovoltaic panel and the reflected radiation intensity of the photovoltaic panel in the second unit area every hour of every day of the year, and obtain the solar radiation intensity of the second unit area every hour of every day of the year; For each second unit area in the first location area, determine whether the average value of the solar radiation intensity of the second unit area every hour of every day of the year is greater than a preset mean threshold, and whether the variance of the solar radiation intensity of the second unit area every hour of every day of the year is less than a preset variance threshold; if so, record the second unit area as a screened area, and form all the screened areas into a second location area; The calculation formula for the intensity of direct solar radiation is: Among them, I n is the direct solar radiation intensity; n is the date serial number, which is determined according to the date corresponding to each day of the year; h is the solar altitude angle; C is the coefficient of atmospheric transparency, which is determined according to the weather corresponding to each hour of each day of the year, and the weather is determined based on meteorological data; The calculation formula for the direct radiation intensity of photovoltaic panels is: I nβ =I n cosθ; Among them, I nβ is the direct radiation intensity of the photovoltaic panel; θ is the angle between the normal line of the photovoltaic panel surface and the sunlight, β is the inclination of the photovoltaic panel, which is determined according to the photovoltaic panel parameters, δ is the solar declination, which is determined according to the date corresponding to each day of the year, is the geographic latitude, ω is the hour angle, which is determined according to the solar time corresponding to each hour of each day of the year, ω = (t-12) × 15°, t is the solar time corresponding to each hour of each day of the year, and α is the angle between the normal of the photovoltaic panel plane and the north-south direction; The calculation formula for the scattered radiation intensity of photovoltaic panels is: Among them, I sβ is the scattered radiation intensity of the photovoltaic panel; m is the atmospheric transparency, which is determined by the weather corresponding to each hour of each day of the year, and the weather is determined based on meteorological data; The calculation formula for the reflected radiation intensity of the photovoltaic panel is: Among them, I gβ is the radiation intensity reflected by the photovoltaic panel; ρ is the ground reflectivity.

6. The photovoltaic power station site selection method based on real three-dimensional scene according to claim 1, characterized in that: The third location area is screened based on the land planning data and the road network data to obtain a photovoltaic power station deployment area, specifically including: The third location area is screened based on the land planning data and the road network data to obtain a fourth location area; the fourth location area includes an area that meets relevant planning land requirements and meets traffic requirements; A fourth location region whose area is within a preset area threshold range is selected as a photovoltaic power station deployment area; the preset area threshold range is [50 mu, 100 mu].

7. A photovoltaic power station site selection device based on real three-dimensional scene, characterized in that: The photovoltaic power station site selection device based on real three-dimensional scene includes: A scene construction module is used to obtain real-life 3D scene data and related auxiliary data of a study area, and to establish a real-life 3D scene based on the real-life 3D scene data; the real-life 3D scene data includes satellite images of the study area, topographic maps of the study area, aerial photographs of target areas in the study area, and 3D point cloud data of target areas in the study area; the related auxiliary data includes permanent basic farmland, cultivated land, ecological protection red lines, geological disaster sites, land use data, land planning data, road network data, meteorological data, and photovoltaic panel parameters in the study area; the real-life 3D scene includes a real-life 3D model and DEM data; The first screening module is used to screen the research area based on the land use data to obtain an initial location area; the initial location area is the area where the shrub forest, grassland and orchard are located; A second screening module is used to calculate the slope and aspect of each first unit area in the initial position area based on the DEM data, determine the shadow area in the initial position area based on the real-scene three-dimensional model, and screen the initial position area based on the slope and aspect of each first unit area and the shadow area to obtain a first position area; the first position area includes a first unit area whose slope is within a preset slope threshold range, whose aspect is within a preset aspect threshold range and which does not belong to the shadow area; A third screening module is used to calculate the solar radiation intensity of each second unit area in the first position area based on the meteorological data and the photovoltaic panel parameters, and screen the first position area based on the solar radiation intensity of each second unit area to obtain a second position area; the second position area includes a second unit area whose average solar radiation intensity is greater than a preset mean threshold and whose variance of solar radiation intensity is less than a preset variance threshold; A fourth screening module is used to remove permanent basic farmland, cultivated land, ecological protection red line and geological disaster point areas from the second location area to obtain a third location area; The fifth screening module is used to screen the third location area based on the land planning data and the road network data to obtain the photovoltaic power station deployment area and complete the photovoltaic power station site selection.

8. A computer device comprising: A memory, a processor, and a computer program stored in the memory and executable on the processor, wherein the processor executes the computer program to implement the photovoltaic power station site selection method based on a real three-dimensional scene as described in any one of claims 1 to 6.

9. A computer-readable storage medium having a computer program stored thereon, characterized in that: When the computer program is executed by a processor, the method for selecting a site for a photovoltaic power station based on a real three-dimensional scene as described in any one of claims 1 to 6 is implemented.

10. A computer program product, comprising a computer program, characterized in that When the computer program is executed by a processor, the method for selecting a site for a photovoltaic power station based on a real three-dimensional scene as described in any one of claims 1 to 6 is implemented.

Images