A mountain photovoltaic field area arrangement method and device based on terrain and light, electronic equipment and storage medium

Abstract

This application provides a method, apparatus, electronic device, and storage medium for the layout of mountain photovoltaic (PV) fields based on terrain and illumination. The method includes the following steps: acquiring contour topographic data, geographic data, and illumination data of the mountain PV field coordinates; extracting discrete elevation points from the contour topographic data; calculating the node coordinates of a regular-shaped grid using an interpolation algorithm; establishing a grid model of the mountain PV field; performing terrain analysis and site zoning based on the grid model; and defining the union of unqualified grids and completely shaded grids as undesirable areas based on the terrain and illumination analysis results, and defining the intersection of qualified grids and completely unshaded grids as deployable areas. This invention enables PV projects to quickly analyze and zonate mountain PV fields, providing important references for designers to manually design and layout mountain PV field projects, and assisting designers in developing design schemes with higher land utilization rates.

Description

TECHNICAL FIELD

[0001] The present application relates to a mountain photovoltaic field site selection method, in particular to a mountain photovoltaic field layout method and device based on terrain and illumination, electronic equipment and storage medium. BACKGROUND

[0002] The global energy structure is undergoing tremendous changes, and clean and low-carbon renewable energy will be the ultimate goal of global energy development. Among them, photovoltaic projects as a typical clean energy are developing rapidly. In recent years, with the rapid development of the photovoltaic power generation industry, large-scale ground photovoltaic power stations have shifted to the central and southern regions, where the sunshine is good and the open and flat land for station construction is very scarce. Relying on mountain and hilly terrain for station construction has become a more common choice. Compared with the photovoltaic power station in the plain area, the mountain photovoltaic power station needs to consider more factors such as shadow shielding, and puts forward higher requirements for the fine design and construction of the power station.

[0003] The analysis of the available area of the mountain photovoltaic field is a key step. In the past, the selection of the layout field in the application of the mountain photovoltaic project relied more on the manual calculation of the design personnel to divide the area and arrange the photovoltaic components. This method consumes a lot of manpower, and the accuracy of the extraction depends largely on the subjective experience and knowledge of the design personnel. At the same time, the shadow-free area in the mountain part cannot be divided by terrain and cannot be used.

[0004] Therefore, how to combine the terrain analysis and illumination analysis of the mountain, extract the shadow-free area in the mountain photovoltaic field, and automatically divide the shadow-free area according to the slope and slope direction for arranging the mountain photovoltaic field is a problem to be solved. SUMMARY

[0005] The technical problem to be solved by the present application is to overcome the defects of the prior art and provide a mountain photovoltaic field layout area analysis method based on terrain and illumination to solve the problem of how to intelligently, quickly and accurately extract the layout area in the mountain field and improve the design efficiency and rationality. The present application provides the following technical scheme:

[0006] The present application provides a mountain photovoltaic field layout method based on terrain and illumination, characterized in that the method comprises the following steps:

[0007] S10, obtaining contour terrain data, geographic data and illumination data of the mountain photovoltaic field coordinate value.

[0008] S20, extracting discrete elevation points in the contour terrain data, calculating the node coordinates of the regular shape grid according to the interpolation algorithm, establishing a mountain photovoltaic field grid model, and inputting the grid terrain of the mountain photovoltaic field into the mountain photovoltaic field grid model.

[0009] S30. Based on the mountain photovoltaic field grid model, first perform terrain analysis, then divide the site into zones. Grid terrain that meets the specified parameters is a qualified grid, and grid terrain that does not meet the specified parameters is an unqualified grid.

[0010] S40. Based on the geographical data and illumination data, illumination analysis is performed on the mountain photovoltaic field area grid model to obtain the backlight grid facing away from the sun and the light-facing grid facing the sun. The backlight grid is a completely shaded grid.

[0011] S50. Based on the shadow occlusion analysis of the backlight grid and the light-facing grid, the light-facing grid is divided into a completely occluded grid and a completely unoccluded grid.

[0012] S60. Based on the results of terrain analysis and illumination analysis, the union of unqualified grids and completely occluded grids is designated as an undesirable area, and the intersection of qualified grids and completely unoccluded grids is designated as a deployable area.

[0013] By adopting the above technical solutions, designers can be helped to develop design schemes with higher land utilization rates, thus overcoming the drawbacks of consuming a lot of manpower and relying on subjective experience and knowledge.

[0014] While adopting the above technical solutions, the present invention may also adopt or combine the following technical solutions: the geographical data in S10 includes longitude, latitude, altitude, and temperature, and the illumination data includes the start and end times of local true solar time, the illumination calculation time interval, and the solar incidence angle.

[0015] As a preferred technical solution of the present invention, the mountain photovoltaic field grid model in S20 is a digital terrain model. The mountain photovoltaic field grid model divides the regional plane into rectangular units of equal area, and uses the vertex of each rectangular unit as the basis of the data structure of the mountain photovoltaic field grid model, which is convenient for some calculations of plane equations.

[0016] The mapping relationship between planar coordinates (x, y) and elevation z within the relevant region of the mountain photovoltaic field grid model, i.e.:

[0017] z = f(x,y) where x,y ∈ DTM

[0018] Where x represents the horizontal coordinate in geographic space, y represents the vertical coordinate in geographic space, and z represents the elevation at the corresponding point (x, y).

[0019] Meanwhile, a quadratic surface equation is used to represent the relationship between elevation and coordinates, and the polynomial surface interpolation algorithm uses the quadratic surface equation:

[0020] z = a0 + a1x + a2y + a3xy + a4x 2 +a5y 2

[0021] Where a0 to a5 are the undetermined coefficients of the quadratic surface equation, calculated using linear algebra matrices:

[0022]

[0023] Five coefficients from a0 to a5 can be obtained, where (x0, y0, z0), ..., (x5, y5, z5) are six discrete points near the node. After obtaining the mapping relationship between the specific plane coordinates (x, y) and the elevation z, a grid model of the mountain photovoltaic field area is established.

[0024] As a preferred technical solution of the present invention, the site zoning in S30 is to classify the grid terrain that meets the specified parameters of slope and aspect as qualified grids, and the grid terrain that does not meet the specified parameters of slope and aspect as unqualified grids.

[0025] As a preferred technical solution of the present invention, the illumination analysis in S40 includes dividing the mountain photovoltaic field area into triangular grids of equal area, calculating the normal vector of the triangular grid, and the angle formed by the normal vector of each grid and the solar incident angle vector. The grid with an angle not greater than 90 degrees is a backlight grid, and the grid with an angle greater than 90 degrees is a light-facing grid.

[0026] As a preferred embodiment of the present invention, the backlight grid in S50 performs shadow occlusion analysis on the light-facing grid, dividing the light-facing grid into completely occluded grids, partially occluded grids, and completely unoccluded grids. The occluded and unoccluded areas in the partially occluded grids are calculated. Based on the projection of the backlight grid onto the light-facing grid on the mountain photovoltaic field along the solar incidence angle, a formula for the shadow point of the light-facing grid is established:

[0027]

[0028] x′0=x0+t*v1

[0029] y′0=y0+t*v2

[0030] z′=z0+t*v3

[0031] Where t is a variable, the known coordinates of the backlit grid are P0(x0,y0,z0), the direction vector of the solar incidence angle is v(v1,v2,v3), the normal vector of the ray-facing grid plane is N(A,B,C), the coordinates of the shadow point on the ray-facing grid plane are P'0(x'0,y'0,z'0), and a point on the ray-facing grid plane is L0(x3,y3,z3).

[0032] The occluded areas of the partially occluded mesh are added to the fully occluded mesh, and the unoccluded areas of the partially occluded mesh are added to the fully unoccluded mesh.

[0033] As a preferred embodiment of the present invention, S60 further includes dividing the arrangeable area into multiple arrangeable areas with different slopes according to the site zoning.

[0034] By adopting the above technical solutions, designers can be helped to develop design schemes with higher land utilization rates, thus overcoming the drawbacks of consuming a lot of manpower and relying on subjective experience and knowledge.

[0035] As a preferred technical solution of the present invention, a mountain photovoltaic field layout device based on terrain and sunlight includes:

[0036] The acquisition module obtains contour topographic data, geographic data, and illumination data of the mountain photovoltaic field area.

[0037] The processing module extracts discrete elevation points from the contour terrain data, calculates the node coordinates of the regular-shaped grid based on the interpolation algorithm, and establishes a grid model for the mountain photovoltaic field area.

[0038] The terrain zoning module, based on the mountain photovoltaic field grid model, first performs terrain analysis and then zons the site. Grid terrain that meets the specified parameters is a qualified grid, and grid terrain that does not meet the specified parameters is an unqualified grid.

[0039] The illumination zoning module performs illumination analysis based on the geographical data and illumination data, using a mountain photovoltaic field grid model, to obtain a backlight grid facing away from the sun and a light-facing grid facing the sun. The backlight grid is a completely shaded grid.

[0040] The shadow occlusion calculation module analyzes the shadow occlusion of the backlight grid against the light-facing grid, dividing the light-facing grid into completely occluded grids and completely unoccluded grids.

[0041] The judgment module, based on the results of terrain analysis and illumination analysis, classifies the union of unqualified grids and completely occluded grids as undesirable areas, and the intersection of qualified grids and completely unoccluded grids as deployable areas.

[0042] As a preferred embodiment of the present invention, an electronic device includes a processor and a memory, wherein the memory stores program instructions for implementing the arrangement method as described in any one of claims 1 to 7.

[0043] As a preferred embodiment of the present invention, a storage medium is provided, wherein program instructions are stored in the storage medium, and when the program instructions are executed by a processor, the arrangement method as described in any one of claims 1 to 7 is implemented.

[0044] Compared with the prior art, the beneficial effects of the present invention are as follows:

[0045] This invention performs terrain and illumination analysis on an existing mountain photovoltaic (PV) field grid model, using corresponding geographic and illumination data. It calculates the required layout area to meet the design requirements of mountain PV projects, including slope, aspect, and shading conditions. Combining terrain and illumination analysis, the invention provides an intelligent, rapid, and accurate analysis of the mountain PV field, extracting usable layout areas and zoning them. This invention enables PV projects to quickly analyze and zon mountain PV fields, providing important reference for designers in manually designing and laying out mountain PV projects, and assisting designers in developing design schemes with higher land utilization rates. Attached Figure Description

[0046] The accompanying drawings are provided to further illustrate the invention and form part of the specification. They are used together with the embodiments of the invention to explain the invention and do not constitute a limitation thereof.

[0047] In the attached diagram:

[0048] Figure 1 This is a flowchart of the method for arranging a mountain photovoltaic field based on terrain and illumination in an embodiment of the present invention;

[0049] Figure 2 This is an exemplary illustration of a mountain photovoltaic field area in an embodiment of the present invention;

[0050] Figure 3 This is an exemplary illustration of the terrain analysis of a mountain photovoltaic field established in an embodiment of the present invention;

[0051] Figure 4 These are the shadowed and unshadowed areas on the light grid plane in this embodiment of the invention;

[0052] Figure 5 This is an exemplary illustration of the illumination analysis of a mountain photovoltaic field established in an embodiment of the present invention;

[0053] Figure 6 This is an exemplary illustration of the final analysis results of the mountain photovoltaic field established in an embodiment of the present invention;

[0054] Figure 7 This is a mountain photovoltaic field layout device based on terrain and lighting in the embodiments of the present invention. Detailed Implementation

[0055] The technical solutions of the embodiments of the present invention will be clearly and completely described below with reference to the accompanying drawings. Obviously, the described embodiments are only some embodiments of the present invention, and not all embodiments. Based on the embodiments of the present invention, all other embodiments obtained by those skilled in the art without creative effort are within the scope of protection of the present invention.

[0056] like Figure 1 As shown in the figure, this application provides a method for arranging a mountain photovoltaic field based on terrain and sunlight. The method includes the following steps:

[0057] S10. Obtain contour topographic data, geographic data, and illumination data of the mountain photovoltaic field area. Geographic data includes longitude, latitude, altitude, and temperature. Illumination data includes the start and end times of local true solar time, illumination calculation time interval, and solar incidence angle.

[0058] In a specific embodiment of the present invention, such as Figure 2 As shown, the geographical data is based on 116.58°E, 39.57°N, with a south-facing slope of 30 degrees. The sunshine data is based on the period from 9:14 AM to 3:14 PM, calculated every 10 minutes. The data includes the local true solar time of the photovoltaic mountain field area, the calculation interval of the true solar time, and the solar incidence angle corresponding to the true solar time.

[0059] S20. Extract discrete elevation points from the contour data, calculate the node coordinates of the regular-shaped grid using an interpolation algorithm, and establish a grid model for the mountain photovoltaic field area. Then, input the grid topography of the mountain photovoltaic field area into the grid model. The mountain photovoltaic field area grid model is a digital terrain model. It divides the region's plane into rectangular units of equal area, using the vertices of each rectangular unit as the basis of the data structure of the grid model. In this method, a square grid is generated as an example, which is convenient for calculations of plane equations. It can also be decomposed into a regular triangular grid.

[0060] The mapping relationship between planar coordinates (x, y) and elevation z within the relevant region of the mountain photovoltaic field grid model, i.e.:

[0061] z = f(x,y) where x,y ∈ DTM

[0062] Where x represents the horizontal coordinate in geographic space, y represents the vertical coordinate in geographic space, and z represents the elevation at the corresponding point (x, y).

[0063] Due to the computational complexity and the limited number of discrete elevation points, polynomials of degree three or higher can cause significant errors. Experiments have shown that quadratic surfaces are not only simpler but also the most effective computational equation for approximating irregular surfaces. Therefore, quadratic surface equations are used to represent the relationship between elevation and coordinates. The polynomial surface interpolation algorithm uses quadratic surface equations:

[0064] z = a0 + a1x + a2y + a3xy + a4x 2 +a5y 2

[0065] Where a0 to a5 are the undetermined coefficients of the quadratic surface equation, calculated using linear algebra matrices:

[0066]

[0067] Five coefficients from a0 to a5 can be obtained, where (x0, y0, z0), ..., (x5, y5, z5) are six discrete points near the node. After obtaining the mapping relationship between the specific plane coordinates (x, y) and the elevation z, a grid model of the mountain photovoltaic field area is established.

[0068] S30. Based on the mountain photovoltaic field grid model, first perform terrain analysis, then site zoning. Input the mountain photovoltaic field grid into the mountain photovoltaic field grid model. Divide the grid terrain into zones from gentle to steep according to the slope. The greater the slope, the steeper it is considered. In this embodiment, the specified parameters are a slope of 30 degrees, a slope direction of 90 degrees south of east, and a slope direction of 90 degrees south of west as examples for grid selection. Site zoning involves classifying the terrain of grids that meet the specified slope and slope direction parameters as qualified grids, and classifying the terrain of grids that do not meet the specified slope and slope direction parameters as unqualified grids. Mountain terrain analysis can extract gentle areas in the mountains. In gentle areas, photovoltaic modules can be arranged, allowing for the placement of more power generation units and improving land utilization.

[0069] In a specific embodiment of the present invention, such as Figure 3 As shown, the mountain photovoltaic power plant area's grid terrain is analyzed using specified parameters: a slope of 30 degrees, a slope direction of 90 degrees east of south and 90 degrees west of south. The original mountain photovoltaic power plant area's grid terrain is divided into multiple zones based on slope. Different zones are represented by blue, green, yellow, red, and purple according to slope magnitude. Grid terrain with slope and aspect conforming to the specified parameters is marked as qualified grid, while those not conforming are marked as unqualified grids. Unqualified grids are shown below. Figure 3 The gray area shown is the main color.

[0070] S40. Based on geographic data and illumination data (including longitude and latitude, and true solar time and solar incidence angle), illumination analysis is performed using a mountain photovoltaic (PV) field grid model. The geographic data and illumination data corresponding to the grid of the mountain PV field are input into the grid model to obtain backlit grids (facing away from the sun) and sun-facing grids (facing towards the sun). Backlit grids are completely obscured. The mountain PV field grid is divided into triangular grids of equal area. The normal vector of each triangular grid is calculated. The angle formed by the normal vector of each grid and the solar incidence angle vector is considered. Grids with an angle no greater than 90 degrees are considered backlit grids, while those with an angle greater than 90 degrees are considered sun-facing grids. In this embodiment, illumination analysis of the mountain PV field is performed using triangular grids as units. Therefore, the actual site size represented by the grid terrain of the mountain PV field will affect the accuracy of the analysis. Therefore, for the obtained mountain photovoltaic field area grid model, the level of detail of the mountain photovoltaic field area grid model should be ensured as much as possible in order to obtain more accurate analysis results for the mountain photovoltaic field area.

[0071] S50. Based on the shading analysis of the backlight grid onto the light-facing grid, since the backlight grid is projected onto the light-facing grid on the mountain photovoltaic field along the solar incident angle, this projection will cause shading of the light-facing grid. Therefore, the light-facing grid may be a completely shaded grid, a partially shaded grid, or a completely unshaded grid. In all analyses, the priority marked is: completely shaded grid > partially shaded grid > completely unshaded grid, requiring further analysis and extraction. Using the winter solstice and summer solstice as representative times, the completely shaded and completely unshaded grids of the partially shaded grids are calculated for the entire day at local true solar time on these two days, obtaining the limiting values. Based on the projection of the backlight grid onto the light-facing grid on the mountain photovoltaic field along the solar incident angle, the formula for the shading point of the light-facing grid is established:

[0072]

[0073] x′0=x0+t*v1

[0074] y′0=y0+t*v2

[0075] z′=z0+t*v3

[0076] Where t is a variable, the known coordinates of the backlit grid are P0(x0,y0,z0), the direction vector of the solar incidence angle is v(v1,v2,v3), the normal vector of the ray-facing grid plane is N(A,B,C), the coordinates of the shadow point on the ray-facing grid plane are P'0(x'0,y'0,z'0), and a point on the ray-facing grid plane is L0(x3,y3,z3).

[0077] like Figure 4As shown, the backlight mesh has three known points P0(x0,y0,z0), P1(x1,y1,z1), and P2(x2,y2,z2). Using the formula for shadow points in the lighting mesh, the projection points P'0(x'0,y'0,z'0), P'1(x'1,y'1,z'1), and P'2(x'2,y'2,z'2) are calculated, resulting in triangle P'0P'1P'2. The lighting mesh has three known points L0(x3,y3,z3), L1(x4,y4,z4), and L2(x5,y5,z5), resulting in triangle L0L1L2. The intersection of triangle P'0P'1P'2 formed by the projection points and triangle L0L1L2 of the lighting mesh itself determines the occlusion area. The intersection area is the completely occluded area, and the non-intersection area is the completely unoccluded area.

[0078] The partially shaded areas of the calculated mesh are added to the fully shaded mesh, and the unshaded areas of the partially shaded mesh are added to the fully unshaded mesh. An example image of a mountain photovoltaic field based on specific illumination analysis results is shown below. Figure 5 As shown, the gray areas represent the backlit areas, and the green areas represent the illuminated areas. According to theoretical data and verification results, only the backlit grids cause terrain occlusion. Therefore, in this method and embodiment, we extract the backlit grids separately and use the shaded point formula for the illuminated grids to calculate occlusion, which reduces computational workload and saves time. Simultaneously, we need mountainous areas that are completely unobstructed during local true solar time. For a given grid, if it is completely occluded at a certain time (i.e., at a certain solar incidence angle), that grid can be considered a completely occluded area and does not need to be included in subsequent calculations, further reducing computational workload and saving time.

[0079] S60. Based on terrain and illumination analysis results, the union of unqualified grids and completely occluded grids is designated as an undesirable area, and the intersection of qualified grids and completely unoccluded grids is designated as a deployable area. Within the deployable area, based on site zoning, multiple deployable areas with different slopes are further divided. For example... Figure 6 As shown, the final results of the analysis of the layout area of ​​the mountain photovoltaic field are as follows. It should be noted that the gray area represents the area that cannot be laid out, and the other colored areas are the areas that can be laid out, and are represented by blue, green, yellow, red and purple in order of slope.

[0080] The layout method of this invention applies a grid terrain with a regular grid structure, storing the orientation in array form, which realizes a more efficient and higher utilization rate of mountain photovoltaic field layout work. It is used to assist designers in formulating design schemes with higher land utilization, saving a lot of manpower and time, correcting the shortcomings of subjective experience and knowledge, and providing a reference for designers to select areas with similar slopes to place photovoltaic modules.

[0081] like Figure 6As shown in the illustration, this application embodiment also provides a mountain photovoltaic field layout device based on terrain and illumination, including an acquisition module that acquires contour terrain data, geographic data, and illumination data of the mountain photovoltaic field coordinates. A processing and construction module extracts discrete elevation points from the contour terrain data, calculates the node coordinates of a regular-shaped grid using an interpolation algorithm, and establishes a mountain photovoltaic field grid model. A terrain zoning module performs terrain analysis and then zons the site based on the mountain photovoltaic field grid model; grids that meet specified parameters are considered qualified grids, while those that do not are considered unqualified grids. An illumination zoning module performs illumination analysis based on the geographic data and illumination data, obtaining backlit grids facing away from the sun and sunlit grids facing the sun; the backlit grids are completely shaded. A shadow shading calculation module performs shadow shading analysis on the backlit grids relative to the sunlit grids, dividing the sunlit grids into completely shaded grids and completely unshaded grids. The judgment module, based on the results of terrain analysis and illumination analysis, classifies the union of unqualified grids and completely occluded grids as undesirable areas, and the intersection of qualified grids and completely unoccluded grids as deployable areas.

[0082] The electronic devices in some embodiments of the present invention may include, but are not limited to, mobile terminals such as mobile phones, laptops, digital broadcast receivers, PDAs (personal digital assistants), PADs (tablet computers), PMPs (portable multimedia players), in-vehicle terminals (e.g., in-vehicle navigation terminals), and fixed terminals such as digital TVs and desktop computers.

[0083] In some embodiments of the present invention, the storage medium stores program instructions capable of implementing all the above methods. These program instructions can be stored in the storage medium in the form of a software product, including several instructions to cause a computer device (which may be a personal computer, server, or network device, etc.) or processor to execute all or part of the steps of the methods described in the various embodiments of this application. The aforementioned storage medium includes various media capable of storing program code, such as USB flash drives, portable hard drives, read-only memory (ROM), random access memory (RAM), magnetic disks, or optical disks, or terminal devices such as computers, servers, mobile phones, and tablets.

[0084] In the description of this specification, references to terms such as "an embodiment," "example," "specific example," etc., indicate that a specific feature, structure, material, or characteristic described in connection with that embodiment or example is included in at least one embodiment or example of the invention. In this specification, illustrative expressions of the above terms do not necessarily refer to the same embodiment or example. Furthermore, the specific features, structures, materials, or characteristics described may be combined in any suitable manner in one or more embodiments or examples.

[0085] The preferred embodiments of the present invention disclosed above are merely illustrative of the invention. These preferred embodiments do not exhaustively describe all details, nor do they limit the invention to the specific implementations described. Clearly, many modifications and variations can be made based on the content of this specification. This specification selects and specifically describes these embodiments to better explain the principles and practical applications of the invention, thereby enabling those skilled in the art to better understand and utilize the invention. The invention is limited only by the claims and their full scope and equivalents.

Claims

1. A method for arranging photovoltaic power plants in mountainous areas based on topography and sunlight, characterized in that, The method includes the following steps: Obtain contour topographic data, geographic data, and illumination data of the mountain photovoltaic field area; Discrete elevation points are extracted from the contour topographic data, and the node coordinates of the regular-shaped grid are calculated based on the interpolation algorithm to establish a grid model of the mountain photovoltaic field area. Based on the aforementioned mountain photovoltaic field grid model, terrain analysis is performed first, followed by site zoning. Grid terrain that meets the specified parameters is considered a qualified grid, while grid terrain that does not meet the specified parameters is considered an unqualified grid. Based on the geographical data and illumination data, illumination analysis is performed on the grid model of the mountain photovoltaic field area to obtain a backlight grid facing away from the sun and a light-facing grid facing the sun. The backlight grid is a completely shaded grid. Based on the shadow occlusion analysis of the backlight grid and the light-facing grid, the light-facing grid is divided into a completely occluded grid and a completely unoccluded grid. Based on the terrain and illumination analysis results, the union of unqualified grids and completely occluded grids is designated as an undesirable area, and the intersection of qualified grids and completely unoccluded grids is designated as a deployable area.

2. The arrangement method according to claim 1, characterized in that: The geographic data includes longitude, latitude, altitude, and temperature, while the illumination data includes the start and end times of local true solar time, the illumination calculation time interval, and the solar incidence angle.

3. The arrangement method according to claim 1, characterized in that: The grid model of the mountain photovoltaic field area is a digital terrain model. The mapping relationship between planar coordinates (x, y) and elevation z within the relevant region of the mountain photovoltaic field grid model, i.e.: z = f(x,y)x,y∈DTM region.

4. The arrangement method according to claim 1, characterized in that: Based on the aforementioned mountain photovoltaic field grid model, terrain analysis is performed first, followed by site zoning. The terrain analysis includes slope analysis and aspect analysis. Grids with similar parameters are divided into the same area. Site zoning involves classifying grids that meet the specified slope and aspect parameters as qualified grids and those that do not meet the specified slope and aspect parameters as unqualified grids.

5. The arrangement method according to claim 1, characterized in that: The illumination analysis includes dividing the mountain photovoltaic field area into triangular grids of equal area, calculating the normal vector of the triangular grid, and the angle formed by the normal vector of each grid and the solar incidence angle vector. The grids with an angle of no more than 90 degrees formed by the normal vector of the grid and the solar incidence angle vector are considered backlight grids, and the grids with an angle of more than 90 degrees formed by the normal vector of the grid and the solar incidence angle vector are considered light-facing grids.

6. The arrangement method according to claim 1, characterized in that: Based on the shadow occlusion analysis of the backlight grid and the light-facing grid, the light-facing grid is divided into completely occluded grids, partially occluded grids, and completely unoccluded grids. The occluded and unoccluded areas in the partially occluded grids are calculated. According to the projection of the backlight grid onto the light-facing grid on the mountain photovoltaic field along the solar incidence angle, the formula for the shadow point of the light-facing grid is established: x'0=x0+t*v1 y'0=y0+t*v2 z'=z0+t*v3 Where t is a variable, the known point coordinates of the backlight grid are P0(x0,y0,z0), the direction vector of the solar incidence angle is v(v1,v2,v3), the normal vector of the light-facing grid plane is N(A,B,C), the coordinates of the shadow point on the light-facing grid plane are P'0(x'0,y'0,z'0), and a point on the light-facing grid plane is L0(x3,y3,z3). The occluded areas of the partially occluded mesh in the calculation results are added to the fully occluded mesh, and the unoccluded areas of the partially occluded mesh are added to the fully unoccluded mesh.

7. The arrangement method according to any one of claims 1-6, characterized in that: Based on the terrain analysis and illumination analysis results, the union of unqualified grids and completely occluded grids is designated as an undeployable area, and the intersection of qualified grids and completely unoccluded grids is designated as a deployable area. Furthermore, the deployable area is further divided into multiple deployable areas with different slopes according to site zoning.

8. A mountain photovoltaic field layout device based on terrain and sunlight, characterized in that: This includes an acquisition module that acquires contour topographic data, geographic data, and illumination data of the mountain photovoltaic field area's coordinates; The processing module extracts discrete elevation points from the contour topographic data, calculates the node coordinates of the regular-shaped grid based on the interpolation algorithm, and establishes a grid model for the mountain photovoltaic field area. The terrain zoning module, based on the mountain photovoltaic field grid model, first analyzes the terrain and then zons the site. Grid terrain that meets the specified parameters is a qualified grid, and grid terrain that does not meet the specified parameters is an unqualified grid. The illumination zoning module performs illumination analysis based on the geographical data and illumination data, using a grid model of a mountain photovoltaic field, to obtain a backlight grid facing away from the sun and a light-facing grid facing the sun. The backlight grid is a completely shaded grid. The shadow occlusion calculation module analyzes the shadow occlusion of the backlight grid against the light-facing grid, dividing the light-facing grid into completely occluded grids and completely unoccluded grids. The judgment module, based on the results of terrain analysis and illumination analysis, classifies the union of unqualified grids and completely occluded grids as undesirable areas, and the intersection of qualified grids and completely unoccluded grids as deployable areas.

9. An electronic device, characterized in that, It includes a processor and a memory, the memory storing program instructions for implementing the arrangement method as described in any one of claims 1 to 7.

10. A storage medium, characterized in that, The storage medium stores program instructions, which, when executed by a processor, implement the arrangement method as described in any one of claims 1 to 7.

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