A micro-site selection method and device for photovoltaic power plants

Abstract

The present invention relates to the field of electric power operation and maintenance technology, and in particular to a micro-site selection method for photovoltaic power plants. An embodiment of the present invention provides a micro-site selection method for photovoltaic power plants, comprising: performing gridding processing within a site selection area to obtain multiple grids; collecting geological data within each of the grids; for each of the grids, performing the following: determining the construction cost required to build a photovoltaic system within the grid based on the geological data; and performing micro-site selection for the photovoltaic power plant based on the construction costs of the multiple grids. An embodiment of the present invention provides a micro-site selection method for photovoltaic power plants, which can select a location for photovoltaic power plant construction with lower costs.

Description

Technical Field

[0001] The present invention relates to the field of electric power operation and maintenance technology, and in particular to a micro-site selection method and device for a photovoltaic power plant. Background Art

[0002] After completing the macro-site selection for a photovoltaic power plant, the area to be built can be determined. However, the micro-site selection within the area to be built has not been given enough attention, as micro-site selection has a significant impact on the construction cost. Summary of the Invention

[0003] The embodiments of the present invention provide a micro-site selection method, device, electronic device and storage medium for a photovoltaic power plant, which can select a low-cost photovoltaic power plant construction location.

[0004] In a first aspect, an embodiment of the present invention provides a micro-site selection method for a photovoltaic power plant, comprising:

[0005] Perform grid processing on the area to be selected to obtain multiple grids;

[0006] collecting geological data within each of the grids;

[0007] For each of the grids, the following steps are performed: determining the construction cost required to build a photovoltaic system in the grid according to the geological data;

[0008] Micro-site selection of photovoltaic power plants is performed based on the construction costs of the plurality of grids.

[0009] In one possible design, the geological data includes soil thickness, soil composition, and bedrock type.

[0010] In one possible design, determining the construction cost required to build a photovoltaic system within the grid based on the geological data includes:

[0011] Determining the depth of the foundation according to the soil thickness, the depth of the foundation being the sum of a preset depth of the bedrock required to be penetrated below the soil layer and the soil thickness;

[0012] determining a foundation construction cost based on the type of foundation, the depth of the foundation, the predetermined depth, and the bedrock type;

[0013] Determining the corrosivity of the soil based on its composition, determining the type of foundation based on the corrosivity of the soil, and determining the material cost and maintenance cost of the foundation based on the type of foundation;

[0014] determining a cable cost of the cable based on the corrosiveness of the soil, the cable cost including material cost and periodic replacement cost;

[0015] The construction cost is determined based on the foundation construction cost, the material cost and maintenance cost of the foundation, and the cable cost.

[0016] In one possible design, the types of foundations include concrete in different proportions and compositions.

[0017] In one possible design, micro-site selection of photovoltaic power plants is performed based on the construction costs of multiple grids, including:

[0018] Determine the number of grids occupied based on the drawings of the photovoltaic plant;

[0019] Taking the number of adjacent grids as the number of occupied grids as a screening condition, traverse each of the grids to screen out a plurality of grid combinations whose number of adjacent grids is the number of occupied grids;

[0020] All grids in the grid combination are screened according to the sum of the construction costs of all grids to determine the construction location of the photovoltaic power plant.

[0021] In one possible design, it also includes:

[0022] Marking the grids according to the local wind direction and the inclination of the ground within the grids; wherein a first mark is applied to the grids whose slope is perpendicular to or opposite to the local main wind direction;

[0023] The step of screening all grids according to the sum of the construction costs of all grids in the grid combination to determine the construction location of the photovoltaic power plant includes:

[0024] summing the construction costs of all grids in the grid combination to obtain the sum of the costs of the grid combination;

[0025] Filter out the grid combinations whose costs and grid combinations that exceed a preset value, calculate the number of grids marked with the first mark within the filtered grid combinations, and determine the grid combination with the largest number of grids marked with the first mark as the construction location of the photovoltaic power plant.

[0026] In one possible design, it also includes:

[0027] Collect geological profile data within the area to be selected;

[0028] Determine the location and depth of small structures in geological cross-section data;

[0029] Applying a second mark to a grid having a small structure at the bottom and a depth of the small structure lower than a preset value;

[0030] The grid combination where the grid with the second mark is located is eliminated and does not participate in the site selection comparison.

[0031] In a second aspect, an embodiment of the present invention further provides a micro-site selection device for a photovoltaic power plant, comprising:

[0032] The first unit is used to perform grid processing in the area to be selected to obtain multiple grids;

[0033] A second unit is used to collect geological data within each of the grids;

[0034] The third unit is configured to perform, for each of the grids, the following steps: determining, based on the geological data, a construction cost required to construct a photovoltaic system in the grid;

[0035] The fourth unit is used to perform micro-site selection of photovoltaic power plants based on the construction costs of the plurality of grids.

[0036] In a third aspect, an embodiment of the present invention further provides an electronic device, comprising a memory and a processor, wherein the memory stores a computer program, and when the processor executes the computer program, the method described in any embodiment of this specification is implemented.

[0037] In a fourth aspect, an embodiment of the present invention further provides a computer-readable storage medium having a computer program stored thereon, which, when executed in a computer, enables the computer to execute the method described in any embodiment of this specification.

[0038] Compared with the prior art, the present invention has at least the following beneficial effects:

[0039] In this embodiment, the entire area to be selected is divided into multiple uniform grids, broken down into smaller pieces, and geological data within each grid is collected. Based on the geological data, suitable materials and equipment can be selected, and construction and maintenance plans can be determined. Furthermore, based on the materials, equipment, construction and maintenance plans, the construction cost within the grid can be determined, and then a suitable photovoltaic power plant construction area can be selected based on the construction cost within the grid. BRIEF DESCRIPTION OF THE DRAWINGS

[0040] In order to more clearly illustrate the embodiments of the present invention or the technical solutions in the prior art, the following briefly introduces the drawings required for use in the embodiments or the description of the prior art. Obviously, the drawings described below are some embodiments of the present invention. For ordinary technicians in this field, other drawings can be obtained based on these drawings without paying any creative work.

[0041] Figure 1 This is a flow chart of a micro-site selection method for a photovoltaic power plant provided by one embodiment of the present invention;

[0042] Figure 2 This is a hardware architecture diagram of an electronic device provided by one embodiment of the present invention;

[0043] Figure 3 This is a structural diagram of a micro-site selection device for a photovoltaic power plant provided by one embodiment of the present invention. DETAILED DESCRIPTION

[0044] In order to make the purpose, technical solutions and advantages of the embodiments of the present invention clearer, the technical solutions in the embodiments of the present invention will be clearly and completely described below in conjunction with the drawings in the embodiments of the present invention. Obviously, the described embodiments are part of the embodiments of the present invention, not all the embodiments. Based on the embodiments of the present invention, all other embodiments obtained by ordinary technicians in this field without making creative work are within the scope of protection of the present invention.

[0045] The specific implementation of the above concept is described below.

[0046] Please refer to Figure 1 , an embodiment of the present invention provides a micro-site selection method for a photovoltaic power plant, comprising:

[0047] Perform grid processing on the area to be selected to obtain multiple grids;

[0048] Collect geological data within each grid;

[0049] For each grid, the following are performed: Determine the construction cost required to build a photovoltaic system in the grid based on geological data;

[0050] Micro-site selection of photovoltaic power plants based on construction costs of multiple grids.

[0051] In this embodiment, the entire area to be selected is divided into multiple uniform grids, broken down into smaller pieces, and geological data within each grid is collected. Based on the geological data, suitable materials and equipment can be selected, and construction and maintenance plans can be determined. Furthermore, based on the materials, equipment, construction and maintenance plans, the construction cost within the grid can be determined, and then a suitable photovoltaic power plant construction area can be selected based on the construction cost within the grid.

[0052] In some embodiments of the invention, the geological data includes soil thickness, soil composition, and bedrock type.

[0053] In some embodiments of the present invention, determining the construction cost required to build a photovoltaic system within a grid based on geological data includes:

[0054] The depth of the foundation is determined according to the soil thickness. The depth of the foundation is the sum of the preset depth of the bedrock below the soil layer and the soil thickness.

[0055] Determine the foundation construction cost based on the type of foundation, depth of foundation, pre-set depth and bedrock type;

[0056] Determine the corrosiveness of the soil based on its composition, determine the type of foundation based on the corrosiveness of the soil, and determine the material cost and maintenance cost of the foundation based on the type of foundation;

[0057] Determine the cable cost based on the corrosiveness of the soil. The cable cost includes the material cost and the cost of periodic replacement.

[0058] The construction cost is determined based on the foundation construction cost, foundation material cost and maintenance cost, and cable cost.

[0059] In this embodiment, the bedrock type determines the excavation cost required to dig deep into the bedrock to a preset depth. Different bedrock types have different hardnesses, and the required drill bit types, drill bit losses, and energy consumed during excavation are different. The depth of the foundation determines the amount of foundation used. The soil in some areas may be corrosive to a certain extent. According to the composition of the soil, a targeted corrosion-resistant foundation type is selected. Furthermore, the material cost and maintenance cost can be determined according to the foundation type. In addition, in order to protect the cables, the cables are often buried underground, and the soil will also corrode the outer sheath of the cables to a certain extent. The life of the cables in corrosive soil and the replacement construction cost and material cost also need to be considered. All of the above costs constitute the construction cost within the grid.

[0060] In some embodiments of the present invention, the type of foundation includes concrete of different proportions and different compositions. In this embodiment, the type of foundation is related to the material cost and maintenance cost of the foundation.

[0061] In some embodiments of the present invention, micro-site selection of a photovoltaic power plant is performed based on the construction costs of multiple grids, including:

[0062] Determine the number of grids occupied based on the drawings of the photovoltaic plant;

[0063] Using the number of adjacent grids as the number of grid occupancy as the screening condition, traverse each grid and screen out multiple grid combinations whose number of adjacent grids is the number of grid occupancy;

[0064] According to the construction cost sum of all grids in the grid combination, all grids are screened to determine the construction location of the photovoltaic power plant.

[0065] In this embodiment, all grids are combined according to the number of grid occupancy to obtain a grid combination, the total construction cost within the grid combination is calculated, and the grid combination with the lower total construction cost is selected as the construction location.

[0066] It should be noted that the grids within the grid combination need to be adjacent, and rectangular or polygonal grid combination outlines are preferred to prevent the occurrence of straight or cross-shaped grid combinations. After determining the grid combination with lower cost, secondary screening can be performed based on the outline.

[0067] In some embodiments of the present invention, further comprising:

[0068] Marking the grids according to the local wind direction and the inclination of the ground within the grid; wherein the first mark is applied to the grids whose slope is perpendicular to or opposite to the local main wind direction;

[0069] Based on the construction costs of all grids within the grid combination, all grids are screened to determine the location of the photovoltaic power plant, including:

[0070] Sum up the construction costs of all grids in the grid combination to get the total cost of the grid combination;

[0071] Grid combinations with costs and grid combinations exceeding a preset value are screened out, the number of grids marked with a first mark within the screened grid combinations is calculated, and the grid combination with the largest number of grids marked with the first mark is determined as the construction location of the photovoltaic power plant.

[0072] In this embodiment, grids with slopes perpendicular to or opposite to the local prevailing wind direction are less likely to accumulate sand on the slope. Broken surfaces that are not facing the wind also prevent the transport and accumulation of oversized sand, facilitating subsequent cleaning. Specifically, grids with load screening conditions are marked with a first marker, and the appropriate grid combination is determined as the construction location based on the number of grids marked with the first marker.

[0073] In some embodiments of the present invention, further comprising:

[0074] Collect geological profile data within the area to be selected;

[0075] Determine the location and depth of small structures in geological cross-section data;

[0076] Applying a second mark to a grid having a small structure at the bottom and a depth of the small structure lower than a preset value;

[0077] The grid combination containing the grid with the second mark is eliminated and does not participate in the site selection comparison.

[0078] In this embodiment, areas with geological disaster risks are eliminated to prevent serious losses from geological disasters.

[0079] In some embodiments of the present invention, minor structures include faults and folds.

[0080] In the present invention, after the construction of the power plant is completed, in order to reduce the cost of subsequent maintenance, the photovoltaic panels in the plant area can also be monitored. The specific monitoring method includes:

[0081] Use infrared cameras above the photovoltaic plant to collect the infrared radiation intensity of each photovoltaic panel;

[0082] Use a depth camera above the photovoltaic plant to collect the distance between each photovoltaic panel and the depth camera;

[0083] Calculate the temperature of each photovoltaic panel based on the infrared radiation intensity and distance of each photovoltaic panel;

[0084] The power generation, temperature and light intensity of each photovoltaic panel are used to determine whether there is any abnormality in the photovoltaic panel.

[0085] In this embodiment, the temperature of each photovoltaic panel can be initially obtained by collecting the infrared radiation intensity of each photovoltaic panel. However, in order to collect data from all photovoltaic panels, the infrared camera needs to be at a certain height and distance so that all photovoltaic panels are within the infrared camera's field of view. Therefore, there is a certain distance between the photovoltaic panel and the infrared camera, and the distance between each photovoltaic panel and the infrared camera is different. Therefore, in order to obtain more accurate temperature data, it is necessary to use a depth camera to measure the distance between each photovoltaic panel and the depth camera. Based on the conversion coordinate system between the depth camera and the infrared camera, the distance between the infrared camera and the photovoltaic panel can be obtained based on the distance between the depth camera and the photovoltaic panel. The infrared radiation intensity is then calibrated based on the distance between the infrared camera and the photovoltaic panel to obtain an accurate temperature. After obtaining the temperature data, the temperature data is combined with the light intensity and power generation to determine whether there are any anomalies in the data, thereby accurately locating the corresponding photovoltaic panel.

[0086] It should be noted that when performing temperature calculations, water vapor and carbon dioxide data, which have a certain scattering effect on infrared radiation, can also be combined.

[0087] It's important to note that temperature affects photovoltaic panels in two ways. First, temperature itself affects their photovoltaic efficiency. Higher temperatures reduce this efficiency, and the lower the efficiency, the higher the proportion of light intensity used for heat generation, creating a vicious cycle. Recording the relationship between temperature, light intensity, and power generation can help detect photovoltaic panel anomalies and, based on historical data, predict the panel's status and usage. Second, the temperature of a photovoltaic panel also affects the status of other internal components, making collecting temperature data equally important.

[0088] In some embodiments of the present invention, calculating the temperature of each photovoltaic panel based on the infrared radiation intensity and distance of each photovoltaic panel includes:

[0089] An infrared radiation matrix is ​​established based on the infrared radiation intensity of each photovoltaic panel collected by the infrared camera;

[0090] Establish a distance matrix based on the distance of each photovoltaic panel collected by the depth camera;

[0091] Determine the coordinate transformation matrix between the infrared camera and the depth camera based on the positional relationship between the infrared camera, the depth camera, and the ground plane;

[0092] A temperature matrix including the temperature of each photovoltaic panel is determined according to the infrared radiation matrix, the distance matrix and the coordinate transformation matrix.

[0093] In some embodiments of the present invention, determining whether there is an abnormality in each photovoltaic panel based on the power generation calculation, temperature, and light intensity of each photovoltaic panel includes:

[0094] Establish a detection model based on the normal light intensity, temperature and power generation of photovoltaic panels;

[0095] Relying on the detection model, whether there is any abnormality in the photovoltaic panel is determined based on the collected light intensity matrix, temperature matrix and power generation matrix; among them, the power generation matrix includes the power generation of each photovoltaic panel, and the light intensity matrix includes the light intensity of each photovoltaic panel.

[0096] In this embodiment, a detection model can be established based on deep learning. The detection model can predict the power generation based on temperature and light intensity. The power generation under normal conditions can be calculated by collecting temperature and light intensity. If there is a difference between the current power generation and the calculated power generation, it will be marked as abnormal data.

[0097] In some embodiments of the present invention, further comprising:

[0098] Using an RGB camera above the photovoltaic plant, the image color of each photovoltaic panel is captured;

[0099] According to the image color of each photovoltaic panel captured by the RGB camera;

[0100] Using the test data, the degree to which the intensity of light received by the photovoltaic panels is weakened by dust of different thicknesses on the photovoltaic panels is fitted;

[0101] Determine the dust thickness on each photovoltaic panel based on the image color on each photovoltaic panel;

[0102] Determine the degree to which the dust weakens the light intensity received by the photovoltaic panels based on the thickness of the dust on the photovoltaic panels;

[0103] The light intensity matrix is ​​determined based on the light intensity and the attenuation level of each photovoltaic panel.

[0104] In this embodiment, floating sand on the photovoltaic panels will weaken the light they receive, and the degree of weakening is related to the thickness of the sand. Therefore, an RGB camera can be used to capture the color image of the photovoltaic panels, and the thickness of the sand can be estimated based on the image color to correct the light intensity.

[0105] like Figure 2 、 Figure 3As shown, the embodiment of the present invention provides a micro-site selection device for photovoltaic power plants. The device embodiment can be implemented by software, hardware, or a combination of software and hardware. From the hardware level, as Figure 2 As shown in the figure, it is a hardware architecture diagram of an electronic device where a micro-site selection device of a photovoltaic power plant is located according to an embodiment of the present invention. Figure 2 In addition to the processor, memory, network interface, and non-volatile memory shown, the electronic device in the embodiment may also include other hardware, such as a forwarding chip responsible for processing messages, etc. Taking software implementation as an example, Figure 3 As shown, as a device in a logical sense, the CPU of the electronic device in which it is located reads the corresponding computer program in the non-volatile memory into the internal memory and runs it. This embodiment provides a micro-site selection device for a photovoltaic power plant, including:

[0106] The first unit is used to perform grid processing in the area to be selected to obtain multiple grids;

[0107] A second unit is used to collect geological data within each of the grids;

[0108] The third unit is configured to perform, for each of the grids, the following steps: determining, based on the geological data, a construction cost required to construct a photovoltaic system in the grid;

[0109] The fourth unit is used to perform micro-site selection of photovoltaic power plants based on the construction costs of the plurality of grids.

[0110] It should be understood that the structure illustrated in the embodiments of the present invention does not constitute a specific limitation on a micro-site selection device for a photovoltaic power plant. In other embodiments of the present invention, a micro-site selection device for a photovoltaic power plant may include more or fewer components than illustrated, or may combine or separate certain components, or employ different component arrangements. The illustrated components may be implemented in hardware, software, or a combination of both.

[0111] The information interaction, execution process, etc. between the modules in the above-mentioned device are based on the same concept as the embodiment of the method of the present invention. For specific contents, please refer to the description in the embodiment of the method of the present invention and will not be repeated here.

[0112] An embodiment of the present invention further provides an electronic device including a memory and a processor, wherein the memory stores a computer program, and when the processor executes the computer program, a micro-site selection method for a photovoltaic power plant in any embodiment of the present invention is implemented.

[0113] An embodiment of the present invention further provides a computer-readable storage medium having a computer program stored thereon. When the computer program is executed by a processor, the processor executes a micro-site selection method for a photovoltaic power plant according to any embodiment of the present invention.

[0114] Specifically, a system or device equipped with a storage medium can be provided, on which software program codes that implement the functions of any of the above-mentioned embodiments are stored, and a computer (or CPU or MPU) of the system or device can be enabled to read and execute the program codes stored in the storage medium.

[0115] In this case, the program code itself read from the storage medium can realize the function of any one of the above-mentioned embodiments, and thus the program code and the storage medium storing the program code constitute part of the present invention.

[0116] Examples of storage media for providing program code include floppy disks, hard disks, magneto-optical disks, optical disks (e.g., CD-ROMs, CD-Rs, CD-RWs, DVD-ROMs, DVD-RAMs, DVD-RWs, and DVD+RWs), magnetic tapes, non-volatile memory cards, and ROMs. Alternatively, the program code may be downloaded from a server computer via a communications network.

[0117] In addition, it should be clear that the functions of any of the above embodiments can be achieved not only by executing the program code read by the computer, but also by enabling the operating system operating on the computer to complete part or all of the actual operations based on the instructions of the program code.

[0118] In addition, it can be understood that the program code read from the storage medium is written into a memory provided in an expansion board inserted into the computer or into a memory provided in an expansion module connected to the computer, and then based on the instructions of the program code, a CPU installed on the expansion board or expansion module is enabled to perform part or all of the actual operations, thereby realizing the functions of any of the above embodiments.

[0119] It should be noted that, in this article, relational terms such as first and second are used only to distinguish one entity or operation from another entity or operation, and do not necessarily require or imply the existence of any such actual relationship or order between these entities or operations. Moreover, the terms "comprises", "comprising" or any other variants thereof are intended to cover non-exclusive inclusion, so that a process, method, article or device comprising a series of elements includes not only those elements, but also other elements not explicitly listed, or also includes elements inherent to such process, method, article or device. In the absence of further restrictions, the elements defined by the sentence "comprising a ..." do not exclude the presence of other identical factors in the process, method, article or device comprising the elements.

[0120] Those skilled in the art will understand that all or part of the steps of implementing the above-mentioned method embodiment can be completed by hardware related to program instructions, and the aforementioned program can be stored in a computer-readable storage medium. When the program is executed, it executes the steps of the above-mentioned method embodiment; and the aforementioned storage medium includes: ROM, RAM, disk or optical disk, etc. Various media that can store program codes.

[0121] Finally, it should be noted that the above embodiments are only used to illustrate the technical solutions of the present invention, rather than to limit it. Although the present invention has been described in detail with reference to the aforementioned embodiments, those skilled in the art should understand that they can still modify the technical solutions described in the aforementioned embodiments, or make equivalent replacements for some of the technical features therein. However, these modifications or replacements do not deviate the essence of the corresponding technical solutions from the spirit and scope of the technical solutions of the various embodiments of the present invention.

Claims

1. A micro-site selection method for a photovoltaic power plant, characterized in that: include: Perform grid processing on the area to be selected to obtain multiple grids; collecting geological data within each of the grids; For each of the grids, the following steps are performed: determining the construction cost required to build a photovoltaic system in the grid according to the geological data; Performing micro-site selection of photovoltaic power plants based on the construction costs of the plurality of said grids; Micro-site selection of photovoltaic power plants is performed based on the construction costs of the plurality of grids, including: Determine the number of grids occupied based on the drawings of the photovoltaic plant; Taking the number of adjacent grids as the number of grid occupancy as a screening condition, traverse each of the grids, screen out multiple grid combinations whose number of adjacent grids is the number of grid occupancy, and obtain a rectangular or polygonal grid combination outline; Screening all grids according to the sum of the construction costs of all grids in the grid combination to determine the construction location of the photovoltaic power plant; Also includes: Marking the grids according to the local wind direction and the inclination of the ground within the grids; wherein a first mark is applied to the grids whose slope is perpendicular to or opposite to the local main wind direction; The step of screening all grids according to the sum of the construction costs of all grids in the grid combination to determine the construction location of the photovoltaic power plant includes: summing the construction costs of all grids in the grid combination to obtain the sum of the costs of the grid combination; Filter out the grid combinations whose costs and grid combinations that exceed a preset value, calculate the number of grids marked with the first mark within the filtered grid combinations, and determine the grid combination with the largest number of grids marked with the first mark as the construction location of the photovoltaic power plant.

2. The method according to claim 1, characterized in that The geological data includes soil thickness, soil composition and bedrock type.

3. The method according to claim 2, characterized in that The determining of the construction cost required to build a photovoltaic system within the grid according to the geological data includes: Determining the depth of the foundation according to the soil thickness, wherein the depth of the foundation is the sum of a preset depth of the bedrock below the soil layer and the soil thickness; determining a foundation construction cost based on the type of foundation, the depth of the foundation, the predetermined depth, and the bedrock type; Determining the corrosivity of the soil based on its composition, determining the type of foundation based on the corrosivity of the soil, and determining the material cost and maintenance cost of the foundation based on the type of foundation; determining a cable cost of the cable based on the corrosiveness of the soil, the cable cost including material cost and periodic replacement cost; The construction cost is determined based on the foundation construction cost, the material cost and maintenance cost of the foundation, and the cable cost.

4. The method according to claim 3, characterized in that Types of foundations include concrete in different proportions and compositions.

5. The method according to claim 1, wherein Also includes: Collect geological profile data within the area to be selected; Determine the location and depth of small structures in geological cross-section data; Applying a second mark to a grid having a small structure at the bottom and a depth of the small structure lower than a preset value; The grid combination where the grid with the second mark is located is eliminated and does not participate in the site selection comparison.

6. A micro-site selection device for a photovoltaic power plant, characterized in that: For implementing the method according to any one of claims 1 to 5, the apparatus comprises: The first unit is used to perform grid processing in the area to be selected to obtain multiple grids; A second unit is used to collect geological data within each of the grids; The third unit is configured to perform, for each of the grids, the following steps: determining, based on the geological data, a construction cost required to construct a photovoltaic system in the grid; The fourth unit is used to perform micro-site selection of photovoltaic power plants based on the construction costs of the plurality of grids.

7. An electronic device comprising a memory and a processor, wherein the memory stores a computer program, and when the processor executes the computer program, the method according to any one of claims 1 to 5 is implemented.

8. A computer-readable storage medium having a computer program stored thereon, which, when executed in a computer, causes the computer to execute the method according to any one of claims 1 to 5.

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