A substation site geographic information identification method, system, device and medium

Abstract

The application discloses a substation site selection geographic information identification method, system, device and medium, comprising: performing geographic feature extraction on first geographic data of a substation planning area to obtain geographic information features, and performing site selection constraint quantization based on the geographic information features to obtain substation site selection constraints; inputting second geographic data of the substation planning area into a semantic segmentation model to obtain a target suitable construction area in the substation planning area output by the semantic segmentation model; performing area screening on each position space area in the target suitable construction area based on the substation site selection constraints to obtain a target position space area; and performing site selection point screening on each site selection point in the target position space area based on a power shortage area to obtain a final substation site selection point. The application guarantees the rationality of substation site selection and improves the reliability of substation site selection.

Description

Technical Field

[0001] This invention relates to the field of substation site selection technology, and in particular to a method, system, equipment and medium for identifying geographic information of substation site selection. Background Technology

[0002] With the deepening of the "dual-carbon" policy and the rapid development of new power systems, distribution networks are gradually transforming into power networks flexibly coupled with the upper-level main grid. Coordinated planning of the main and distribution networks has become a key research direction for power companies. However, the current power grid planning process is fragmented, with a lack of coordination between distribution network-side source-load-storage planning and main grid-side power source deployment, making it difficult to form a globally optimal planning scheme. The overall security indicators of the power grid need improvement; conventional security indicators (such as power transfer rate and self-healing rate) are low, and extreme scenarios are not adequately considered in the planning, with no grid structure modifications or backup resource planning for extreme events. Furthermore, the power grid planning business process is cumbersome, involving a vast number of planning guidelines and tools, relying on human knowledge retrieval and tool usage, resulting in low efficiency. Planning report preparation is time-consuming and costly, failing to meet the needs of efficient and high-quality planning.

[0003] Meanwhile, the development of digital power grids and AI technologies has offered possibilities for solving the aforementioned problems. Against this backdrop, researching intelligent agent technologies for coordinated planning of the main and distribution networks to enhance the comprehensive security capabilities of the power grid has become crucial. Among these, substation site selection, as a vital component of coordinated planning, directly impacts the balance of power supply and demand and the safe and stable operation of the power grid. Traditional substation site selection methods primarily rely on manual analysis of geographical information. However, these methods are susceptible to subjective factors and struggle to consider the influence of different geographical features and constraints on substation site selection, leading to insufficient consideration of complex terrain areas and ultimately, unreasonable substation site selection. Summary of the Invention

[0004] In view of the aforementioned existing problems, the present invention is proposed.

[0005] Therefore, this invention provides a method, system, equipment, and medium for identifying geographic information for substation site selection, which solves the problems of traditional substation site selection methods relying on manual analysis, being easily affected by subjective factors, and being difficult to comprehensively consider complex geographic constraints, resulting in unreasonable site selection and low reliability.

[0006] To solve the above-mentioned technical problems, the present invention provides the following technical solution: In a first aspect, the present invention provides a method for identifying geographic information for substation site selection, comprising: Obtain the first and second geographic data of the substation planning area, extract geographic features from the first geographic data to obtain geographic information features, and quantify the site selection constraints based on the geographic information features to obtain the substation site selection constraints. The second geographic data is input into a pre-trained semantic segmentation model. The pre-trained semantic segmentation model is used to identify and classify the surface features contained in the second geographic data to obtain the target suitable construction area. Using the substation site selection constraints as screening rules, the target suitable construction area is screened to obtain the target location spatial area; Within the target location spatial area, the power shortage areas obtained based on spatial source load calculations are matched and screened to obtain the final substation site selection point.

[0007] As a preferred embodiment of the substation site selection geographic information identification method of the present invention, wherein: the step of matching and filtering within the target location spatial area in conjunction with power shortage areas obtained based on spatial source load calculation to obtain the final substation site selection point includes: For each first spatial region in the target location spatial region, determine the number of first spatial regions that have spatial intersection with the first spatial region, and determine the first spatial region with the largest number of first spatial regions as the clustering core spatial region; Second spatial regions in the target location spatial region whose regional distance from each cluster core spatial region is less than or equal to a preset distance threshold are grouped into the same cluster to obtain a preliminary regional cluster. Based on the area and perimeter of the polygon formed by all spatial regions in each preliminary region cluster, the spatial compactness index of each preliminary region cluster is determined. The target area clusters are determined based on the spatial compactness index of each preliminary area cluster, and the center coordinates of each target area cluster are determined as the site selection point. The power shortage coverage area is determined based on the power shortage area, and the site selection point within the power shortage coverage area is determined as the final substation site selection point.

[0008] As a preferred embodiment of the substation site selection geographic information identification method of the present invention, wherein: the step of determining the target area cluster based on the spatial compactness index of each preliminary area cluster includes: Preliminary regional clusters with a spatial compactness index greater than or equal to a preset compactness threshold are identified as first candidate regional clusters. The internal connectivity index is determined based on the connectivity between any two spatial regions in each first candidate regional cluster and the number of spatial regions in each candidate regional cluster. The first candidate region cluster with an internal connectivity index greater than or equal to the preset internal connectivity threshold is determined as the second candidate region cluster, and the types of available resources and the amount of each available resource in the available regions corresponding to each second candidate region cluster are determined. The resource suitability index is determined based on the resource quantity of each available resource in the available regions and the total demand of each available resource for each second candidate region cluster. The second candidate region cluster whose resource adaptability index is greater than or equal to the preset resource adaptability threshold is determined as the target region cluster.

[0009] As a preferred embodiment of the substation site selection geographic information identification method of the present invention, the step of using the substation site selection constraints as screening rules to perform regional screening on the target suitable construction area to obtain the target location spatial area includes: The target suitable construction area is divided into multiple sub-location spatial regions, and the positional relationship between any first target sub-location spatial region and the prohibited construction area constrained by the prohibited construction area is determined; In response to the fact that the location relationship is completely within the prohibited construction zone, the first target sub-location spatial region is removed from the target suitable construction area to obtain the second target sub-location spatial region; In response to the fact that the location relationship is not completely within the prohibited construction zone, candidate location spatial regions in the first target sub-location spatial region that are not within the prohibited construction zone are determined; From the candidate location spatial regions, a first candidate sub-region located within the safety buffer zone of the prohibited construction zone is selected; Calculate the ecological sensitivity compatibility coefficient of the first candidate sub-region relative to the ecological protection zone within the prohibited construction area, and the water pollution compatibility coefficient relative to the water protection zone within the prohibited construction area; In response to the ecological sensitivity compatibility coefficient being less than or equal to a preset sensitivity compatibility threshold, the second candidate sub-region in the candidate location spatial region is determined as the second target sub-location spatial region; In response to the water source pollution compatibility coefficient being less than or equal to a preset pollution compatibility threshold, the second candidate sub-region in the candidate location spatial region is determined as the second target sub-location spatial region; Since the location relationship is not within the prohibited construction zone or the safety buffer zone, the first target sub-location spatial region is initially determined as the second target sub-location spatial region; combined with the suitable construction zone constraint, the second target sub-location spatial region is further filtered to finally obtain the target location spatial region.

[0010] The beneficial effects of this preferred technical solution are that, by employing a strategy of tiered elimination of completely prohibited construction areas, meticulous screening of highly compatible areas within buffer zones, and retention of safe areas, it maximizes the preservation of suitable construction space while strictly avoiding ecological and water pollution risks, significantly improving the ecological safety, compliance, and land utilization rate of substation site selection.

[0011] As a preferred embodiment of the substation site selection geographic information identification method of the present invention, wherein: in conjunction with the suitable construction area constraint, the second target sub-location spatial region is further filtered to finally obtain the target location spatial region, including: The sub-location spatial regions in the second target sub-location spatial region that do not meet the constraints of the suitable construction area are removed to obtain the third target sub-location spatial region; For each first sub-region in the third target sub-location spatial region, the number of adjacent sub-regions that have a spatial adjacency relationship with the corresponding first sub-region is counted, and this number is taken as the number of second regions; The first sub-region whose number of the second region is greater than or equal to a preset threshold is determined as the fourth target sub-location spatial region; wherein, the spatial adjacency relationship represents that the two sub-regions are in spatial contact with each other; For each second sub-region in the fourth target sub-location spatial region, determine the actual distance between the second sub-region and the existing transmission line, as well as the distance difference between the second sub-region and the median of the distance limit range; The second sub-region whose distance difference is less than or equal to half of the difference in the specified distance range is determined as the fifth target sub-location spatial region; Based on the stability of the terrain slope and the consistency of the construction land attributes in the constraints of the suitable construction area, the spatial region of the fifth target sub-location is filtered to obtain the target location spatial region.

[0012] The beneficial effects of this preferred technical solution are that by eliminating areas that do not meet the constraints step by step, screening continuous areas based on spatial connectivity, selecting sub-areas close to the median of existing lines, and conducting final verification based on the consistency of terrain and land use attributes, it effectively ensures the spatial integrity of substation site selection, the economy of grid connection, and the stability of geological construction, thereby significantly reducing construction costs and improving the safety and reliability of the project.

[0013] As a preferred embodiment of the substation site selection geographic information identification method of the present invention, the step of performing regional screening on the fifth target sub-location spatial region based on the stability of the terrain slope and the consistency of the construction land attributes in the suitable construction area constraints to obtain the target location spatial region includes: For each third sub-region in the fifth target sub-location spatial region, the terrain slope stability is determined based on the ratio of the slope value of the third sub-region to the suitable construction slope threshold value, and the third sub-region with a terrain slope stability coefficient greater than or equal to a preset stability threshold is determined as the sixth target sub-location spatial region. For each fourth sub-region in the sixth target sub-location spatial region, extract the land feature type attribute sub-type of the fourth sub-region, and completely include the land feature type attribute sub-type in the fourth sub-region of the construction land attribute sub-type to determine the seventh target sub-location spatial region. For each fifth sub-region in the seventh target sub-location spatial region, calculate the spatial aggregation degree between the fifth sub-region and all sixth sub-regions; the sixth sub-region is the sub-region in the seventh target sub-location spatial region excluding the fifth sub-region; the spatial aggregation degree is the reciprocal of the sum of the spatial distances between the fifth sub-region and all sixth sub-regions; The fifth sub-region with the highest spatial aggregation degree is determined as the target location spatial region.

[0014] As a preferred embodiment of the substation site selection geographic information identification method of the present invention, the substation site selection constraints include prohibited construction area constraints and suitable construction area constraints; The specific steps for determining the restrictions on no-construction zones include: Based on the characteristics of the ecological protection area, feature analysis is performed to determine the boundary of the ecological protection area, and the site selection point located within the boundary of the ecological protection area is used as a quantitative constraint for the first prohibited construction zone. Based on the characteristics of the land cover types, feature analysis is performed to determine the boundary of the water protection zone, and the site selection point located within the boundary of the water protection zone is used as a quantitative constraint for the second prohibited construction zone. Based on the distance characteristics of the existing power facilities, feature analysis is performed to determine the buffer zone of the existing substation, and the location of the site selection point within the buffer zone is used as a quantitative constraint for the third prohibited construction zone. The first prohibited construction zone quantitative constraint, the second prohibited construction zone quantitative constraint, and the third prohibited construction zone quantitative constraint are merged to obtain the prohibited construction zone constraint; The specific steps for determining suitable construction zone constraints include: Based on the terrain slope characteristics, feature analysis is performed to determine the critical value of suitable construction slope and the critical level of suitable construction terrain. The slope value of the selected site is less than or equal to the critical value of suitable construction slope, and the terrain level of the selected site is greater than or equal to the critical level of suitable construction terrain, which is used as the quantitative constraint of the first suitable construction area. Based on the characteristics of the land cover types, feature analysis is performed to determine the construction land attributes, and the site selection point belonging to the construction land attributes is used as a quantitative constraint for the second suitable construction area; Based on the distance characteristics of the existing power facilities, feature analysis is performed to determine the distance limit range of the existing transmission lines, and the location of the site selection point within the distance limit range is used as a quantitative constraint for the third suitable construction area. The first suitable construction area quantitative constraint, the second suitable construction area quantitative constraint, and the third suitable construction area quantitative constraint are merged to obtain the suitable construction area constraint.

[0015] Secondly, the present invention provides a substation site selection geographic information identification system, comprising: The feature constraint module is used to acquire the first and second geographic data of the substation planning area, extract geographic features from the first geographic data to obtain geographic information features, and quantify the site selection constraints based on the geographic information features to obtain the substation site selection constraints. The semantic segmentation prediction module is used to input the second geographic data into the pre-trained semantic segmentation model, and use the pre-trained semantic segmentation model to identify and classify the surface features contained in the second geographic data to obtain the target suitable construction area. The area filtering module is used to use the substation site selection constraints as filtering rules to filter the target suitable construction area and obtain the target location spatial area. The substation site selection module is used to match and filter power shortage areas within the target location spatial area based on spatial source load calculations to obtain the final substation site selection point.

[0016] Thirdly, the present invention provides an electronic device, comprising: Memory, used to store programs; A processor is configured to execute the computer-executable instructions, which, when executed by the processor, implement the steps of the substation site selection geographic information identification method.

[0017] Fourthly, the present invention provides a computer-readable storage medium, comprising: when the program is executed by a processor, the steps of implementing the substation site selection geographic information identification method.

[0018] The beneficial effects of this invention are as follows: This invention uses a semantic segmentation model to automatically identify suitable construction areas. Since the semantic segmentation model is trained with high precision, it can accurately identify suitable construction areas, avoiding subjective judgment errors and thus preventing site selection in unreasonable areas. Furthermore, by quantifying site selection constraints through different geographical information features, substation site selection constraints are obtained. These constraints are then used to select substation sites within suitable construction areas. Therefore, even in complex terrain areas, the substation site can be accurately and reasonably determined, ensuring the rationality of the substation site selection. Simultaneously, the power demand in power-scarce areas is considered, further guaranteeing the rationality of the substation site selection and improving its reliability. Attached Figure Description

[0019] To more clearly illustrate the technical solutions of the embodiments of the present invention, the drawings used in the following description of the embodiments will be briefly introduced. Obviously, the drawings described below are only some embodiments of the present invention. For those skilled in the art, other drawings can be obtained based on these drawings without creative effort. Wherein: Figure 1 This is a basic flowchart illustrating a substation site selection geographic information identification method according to an embodiment of the present invention. Detailed Implementation

[0020] To make the above-mentioned objects, features, and advantages of the present invention more apparent and understandable, specific embodiments of the present invention will be described in detail below with reference to the accompanying drawings. Obviously, the described embodiments are only a part of the embodiments of the present invention, and not all of them. Based on the embodiments of the present invention, all other embodiments obtained by those skilled in the art without creative effort should fall within the protection scope of the present invention.

[0021] Example 1, referring to Figure 1 As an embodiment of the present invention, a method for identifying geographic information for substation site selection is provided, comprising: S100: Obtain the first and second geographic data of the substation planning area, extract geographic features from the first geographic data to obtain geographic information features, quantify the site selection constraints based on the geographic information features, and obtain the substation site selection constraints. S200: Input the second geographic data into the pre-trained semantic segmentation model, and use the pre-trained semantic segmentation model to identify and classify the surface features contained in the second geographic data to obtain the target suitable construction area; S300: Using substation site selection constraints as screening rules, the target suitable construction area is screened to obtain the target location spatial area; S400: Within the target location spatial area, the final substation site is obtained by matching and screening the power shortage areas obtained based on spatial source load calculation.

[0022] It should be noted that traditional substation site selection methods face multiple severe challenges during operation, mainly due to their over-reliance on static geographical data and empirical rules, lacking the ability to perceive and quantify dynamic environmental changes and full life-cycle risks in real time. Traditional methods often fail to accurately predict long-term ecological evolution, leading to frequent environmental rectification or even relocation risks after commissioning due to violations of ecological red lines or water source protection areas. Due to the lack of refined spatial connectivity analysis, selected sites may exhibit fragmented distribution, increasing the difficulty and cost of later operation and maintenance inspections, and limiting the flexibility of power grid expansion. Traditional site selection lags in responding to micro-topography, geological hazards, and dynamic growth of surrounding loads, easily resulting in insufficient site stability under extreme weather conditions or a disconnect from the actual development needs of the power grid, ultimately leading to a series of chain problems such as decreased power supply reliability, increased safety hazards, and waste of land resources.

[0023] Therefore, in response to the problems mentioned above, traditional substation site selection methods rely on manual analysis, are easily influenced by subjective factors, and are difficult to comprehensively consider complex geographical constraints, resulting in unreasonable site selection and low reliability. Through the S100-S400 steps, geographical features are automatically extracted and multi-level spatial constraint screening is implemented. This effectively overcomes the shortcomings of traditional manual site selection, such as strong subjectivity, low efficiency, and difficulty in dealing with dynamic constraints such as complex terrain and ecological red lines. It significantly improves the scientificity, accuracy, and compliance of site selection, thereby reducing the risks of later operation and maintenance and construction costs.

[0024] Example 2, this is an embodiment of the present invention, which provides a method for identifying geographic information for substation site selection based on the previous embodiment, including: In this embodiment of the application, in step S100, the site selection planning system obtains the first geographic data of the substation planning area, wherein the first geographic data includes topographic elevation data, land use type vector data, ecological protection red line vector data, and existing power facility distribution vector data.

[0025] In this embodiment, in step S100, the site selection planning system extracts geographic features from the first geographic data to obtain geographic information features, including land feature type features, terrain slope features, ecological protection area features, and distance features to existing power facilities. Specifically, land feature type features are determined by parsing land use type vector data; terrain slope features are obtained by calculating terrain elevation data; ecological protection area features are determined by identifying the boundary range of ecological protection red line vector data; and distance features to existing power facilities are determined by calculating the straight-line distance between any point within the planning area and existing substations and transmission lines.

[0026] In this embodiment of the application, in step S100, the site selection planning system quantifies the site selection constraints based on the characteristics of land cover type, terrain slope, ecological protection area, and distance to existing power facilities to obtain the substation site selection constraints. The substation site selection constraints include prohibited construction area constraints and suitable construction area constraints. The prohibited construction area constraints specify which areas belong to the prohibited construction area, as detailed in steps S110 to S140. The suitable construction area constraints specify which areas belong to the suitable construction area, as detailed in steps S150 to S180.

[0027] In this embodiment of the application, the constraint quantification fusion of the prohibited construction area and the suitable construction area in step S100 is achieved by separately defining the prohibited constraint boundaries such as ecological protection areas and the suitable constraint range of land features such as slope, and by using spatial coordinate comparison, polygon overlay and logical AND / NOT operations to fuse the multi-dimensional quantitative constraints into a comprehensive prohibited area or suitable area range.

[0028] In an optional implementation, the constraint quantization fusion of the prohibited construction area and the suitable construction area in step S100 can also resample various constraint factors of the prohibited construction area and the suitable construction area into raster data of the same resolution and assign values ​​for quantization. According to the importance of each factor, corresponding weights are assigned, and a comprehensive suitability score raster is generated by weighted summation to delineate the final area.

[0029] In an optional implementation, the constraint quantification fusion of the prohibited construction area and the suitable construction area in step S100 can also transform various constraint factors of the prohibited and suitable construction areas into fuzzy membership functions between 0 and 1 to characterize their uncertainty. Fuzzy operators are used to aggregate the membership degrees of each factor, and a comprehensive suitability evaluation result is generated through defuzzification to delineate the final area.

[0030] In this embodiment, the substation planning area is located in the suburbs of a county town, covering an area of ​​approximately 50 square kilometers. The site selection planning system acquires the first geographic data of this area: topographic elevation data is 1-meter resolution DEM data of the area obtained through UAV mapping; land use type vector data is a land use classification map of the area, including types such as cultivated land, forest land, construction land, and water areas; ecological protection red line vector data is a boundary vector map of a wetland park in the area; and existing power facility distribution vector data is the location vector information of two existing substations and five transmission lines in the area. Further, geographic features are extracted from these data: the land use type vector data is analyzed to determine the characteristics of land cover types, such as the proportion of cultivated land (30%), forest land (25%), construction land (20%), and water areas (25%) in the area; based on the topographic elevation data, the topographic slope characteristics are calculated through slope values; the slope... It is calculated using the following formula: in, and They are respectively and The rate of change of elevation in the direction, the slope of most areas in this region is within Below, a small area in the northeast has a slope of... Between; identify the boundary range of the ecological protection red line vector data, determine the characteristics of the ecological protection area, that is, the area within the boundary of the wetland park is the ecological protection area; calculate the straight-line distance between any point in the planning area and the existing 2 substations and 5 transmission lines, and obtain the distance characteristics of the existing power facilities, such as a point in the area being 2 kilometers away from substation A and 1.5 kilometers away from transmission line B.

[0031] In this embodiment of the application, in step S200, the site selection planning system acquires the second geographic data of the substation planning area, namely, a high-resolution satellite remote sensing image, and inputs the high-resolution satellite remote sensing image into the semantic segmentation model. The semantic segmentation model is trained based on the sample high-resolution satellite remote sensing images and their corresponding suitable construction area labels. The semantic segmentation model processes the input high-resolution satellite remote sensing image and outputs the target suitable construction area within the substation planning area.

[0032] In an optional implementation, the strategy for identifying suitable construction areas in step S200 can also preprocess high-resolution satellite remote sensing images and manually extract features such as texture, spectrum, and shape. These feature vectors are then input into classifiers such as support vector machines (SVM) or random forests for training and pixel-level classification. The classification results are then aggregated to generate the target suitable construction area.

[0033] In an optional implementation, the strategy for identifying suitable construction areas in step S200 can also directly use high-resolution satellite remote sensing images to calculate specific spectral indices such as the Normalized Building Index (NDBI) and Normalized Vegetation Index (NDVI), and extract the target suitable construction area directly by setting an empirical threshold for logical judgment.

[0034] In this embodiment, the site selection planning system acquires high-resolution satellite remote sensing images of a 50-square-kilometer area in the suburbs of a county town, with a resolution of 0.5 meters. The semantic segmentation model is obtained by collecting 1000 high-resolution satellite remote sensing images of this area and similar surrounding areas as sample high-resolution satellite remote sensing images. These sample images are labeled by professionals to identify suitable construction areas in each image, forming corresponding suitable construction area labels. These sample data are then used to train a deep learning semantic segmentation model, such as the U-Net model. The high-resolution satellite remote sensing images of the county town's suburbs are input into the trained semantic segmentation model. The model distinguishes between suitable and unsuitable construction areas by recognizing and classifying pixels in the images, ultimately outputting the target suitable construction areas within the county town's suburbs. For example, some construction land and vacant land within this area are identified as target suitable construction areas.

[0035] In this embodiment of the application, in step S300, the site selection planning system checks and filters each location space area in the target suitable construction area one by one according to the substation site selection constraints. During the filtering process, the location space area that does not meet any of the site selection constraints will be excluded, and the location space area that meets all the site selection constraints will be retained to obtain the target location space area, as specifically as the process of steps S310 to S370.

[0036] In this embodiment of the application, in step S400, the site selection planning system pre-calculates power shortage areas based on spatial source load, that is, by analyzing the power load demand and power supply situation in these areas, it identifies areas with insufficient power supply. Further, the site selection planning system filters each site selection point in the target location spatial area based on these power shortage areas, prioritizing site selection points located in or near power shortage areas and excluding site selection points far from power shortage areas, thus obtaining the final substation site selection point, as detailed in steps S410 to S450.

[0037] In this embodiment of the application, the processes of steps S110 to S140 include: S110: Based on the characteristics of the ecological protection area, conduct feature analysis to determine the boundary of the ecological protection area, and use the location of the site selection point within the boundary of the ecological protection area as the first prohibited construction zone as a quantitative constraint. In this embodiment of the application, the site selection planning system performs feature analysis on the characteristics of the ecological protection area, determines the boundary coordinate points of the ecological protection area, and connects the boundary coordinate points to obtain the boundary of the ecological protection area.

[0038] Based on this, the site selection planning system sets the condition that the site selection point is located within the boundary of the ecological protection zone as the first prohibited construction zone quantitative constraint. That is, as long as the coordinates of a potential substation site selection point fall within the area enclosed by the determined ecological protection zone boundary, the site selection point is prohibited from being used as a substation construction site.

[0039] Continuing with the example of a substation planning area in the suburbs of a certain county, the site selection planning system, based on the characteristics of the ecological protection area, identified a wetland park as a provincial-level important ecological protection area, with its boundary coordinates as follows: Connecting these boundary coordinate points sequentially forms a closed polygon, defining the boundary of the wetland park's ecological protection zone. This boundary encompasses the wetland park's core water area, surrounding woodland, and buffer zone. Therefore, the first prohibited construction zone is quantitatively constrained as follows: the coordinates of any substation site selection point... If the location is inside or on the boundary of the closed polygon, then the site is in a prohibited construction area and cannot be used as a substation construction site.

[0040] S120: Based on the characteristics of land cover types, conduct feature analysis to determine the boundary of the water protection zone, and use the location of the site selection point within the boundary of the water protection zone as a quantitative constraint for the second prohibited construction zone; In this embodiment of the application, the site selection planning system performs feature analysis on the characteristics of land features, determines the boundary coordinates of the water protection zone boundary, and connects the boundary coordinates to obtain the water protection zone boundary.

[0041] In this embodiment of the application, the site selection planning system sets the location of the site selection point within the boundary of the water protection zone as a second prohibited construction zone quantitative constraint. That is, when the potential substation site selection point is located within the area enclosed by the boundary of the water protection zone, the site selection point is prohibited from being used as a substation construction site.

[0042] Continuing with the above embodiment, a river running through the area and two small reservoirs are identified based on the land feature characteristics. For the river, the boundary coordinates of its two banks are extracted. Connecting these boundary coordinate points forms the boundary of the river's protected area, which covers the main channel of the river and a 50-meter radius on both banks; for the two small reservoirs, the boundary coordinate points of their respective banks are extracted. and After connection, they form their respective water protection zone boundaries, which include the reservoir water body and a surrounding 30-meter area. Therefore, the second prohibited construction zone is quantitatively constrained by the coordinates of the substation site selection point. If the site is located within the water protection zone of the aforementioned river or the two small reservoirs, then the site is a prohibited construction area and cannot be used as a substation construction site.

[0043] S130: Based on the distance characteristics of existing power facilities, perform feature analysis to determine the buffer zone of existing substations, and use the location of the site selection point within the buffer zone as a quantitative constraint for the third prohibited construction zone; In this embodiment, the site selection planning system performs feature analysis based on the distance characteristics of existing power facilities to determine the buffer radius of existing substations. A buffer zone for the existing substations is formed by drawing a circle with the location coordinates of the existing substations as the center and the determined buffer radius as the radius. Furthermore, the site selection planning system sets a third prohibited construction zone as a quantitative constraint for site selection points located within the buffer zone; that is, when a potential substation site is within this buffer zone, that site is prohibited from being used as a substation construction location.

[0044] Continuing with the above embodiment, the location coordinates of two existing substations are extracted based on the distance characteristics of existing power facilities, namely substation M. and substation N Considering factors such as electromagnetic radiation from existing substations, the buffer zone radius of the existing substation is determined to be 1000 meters. The location coordinates of substation M are used as follows: Draw a circle with a center of 1000 meters and a radius of 1000 meters to form a buffer zone for substation M; similarly, draw a circle with the location coordinates of substation N... A circle with a center and a radius of 1000 meters is drawn to form a buffer zone for substation N. Therefore, the quantitative constraint of the third prohibited construction zone is set as follows: if the coordinates of the substation site selection point... If the straight-line distance to substation M or substation N is less than or equal to 1000 meters, i.e. it is located within the corresponding buffer zone, then the selected site is a prohibited construction area and cannot be used as a substation construction site.

[0045] S140: The quantitative constraints of the first prohibited construction zone, the second prohibited construction zone, and the third prohibited construction zone are merged to obtain the prohibited construction zone constraints; In this embodiment of the application, the site selection planning system integrates the quantitative constraints of the first prohibited construction zone, the quantitative constraints of the second prohibited construction zone, and the quantitative constraints of the third prohibited construction zone. During the integration process, a spatial overlay analysis method is used to overlay the boundary ranges of the three prohibited construction zones in the same spatial coordinate system to form a comprehensive prohibited construction area. The final prohibited construction area constraint is the comprehensive area range, and any site selection point located within the comprehensive area is prohibited from being used as a substation construction site.

[0046] Continuing with the above embodiment, the site selection planning system overlays the first prohibited construction zone (i.e., the provincial wetland park ecological protection zone), the second prohibited construction zone (i.e., the water area protection zone of the river and two small reservoirs), and the third prohibited construction zone (i.e., the 1000-meter buffer zone of the two existing substations) in a certain suburban area of ​​a county on the same spatial coordinate system. After overlay, the resulting comprehensive prohibited construction area includes the entire area of ​​the provincial wetland park ecological protection zone, the entire area of ​​the water area protection zone of the river and two small reservoirs, the entire area of ​​the 1000-meter buffer zone of substations M and N, and any possible overlap between these areas. The prohibited construction area constraint obtained by the site selection planning system is the comprehensive area; any substation site located within this area is prohibited from being used as a construction site.

[0047] In this embodiment of the application, steps S150 to S180 include: S150: Based on the terrain slope characteristics, perform feature analysis to determine the critical value of suitable construction slope and the critical level of suitable construction terrain. The slope value of the selected site is less than or equal to the critical value of suitable construction slope, and the terrain level of the selected site is greater than or equal to the critical level of suitable construction terrain, which shall be used as the quantitative constraint of the first suitable construction area. In this embodiment, the site selection planning system performs feature analysis based on terrain slope characteristics, and determines the suitable construction slope threshold and suitable terrain threshold level by combining the engineering requirements and construction difficulty of the substation. The suitable construction slope threshold refers to the maximum acceptable slope value for substation construction. The suitable construction terrain threshold level is the lowest terrain level suitable for substation construction, determined after classifying the terrain based on factors such as slope magnitude and complexity. The terrain level... The calculation formula is: in, This is the floor function; and These are correction factors, with values ​​of 1.2 and 0.8 respectively. This is the slope value, in degrees. The elevation relief is expressed in meters. The slope reference value is 10°. The baseline value for terrain relief is 50 meters.

[0048] In this embodiment of the application, the site selection planning system uses the slope value of the site selection point being less than or equal to the critical value of the suitable construction slope, and the terrain level of the site selection point being greater than or equal to the critical level of the suitable construction terrain, as the quantitative constraint of the first suitable construction area.

[0049] In this embodiment, the topographic elevation data of a planned substation area, after calculation, yielded a slope range of 0°-30°. Analyzing this slope characteristic, and considering factors such as the ease of site leveling and building stability during substation construction, a suitable construction slope threshold of 15° was determined. This means that areas with slopes exceeding 15° are unfavorable for substation construction and subsequent operation. Furthermore, the terrain of the planned area was divided into five levels: Level 1 (0°-5° slope and flat terrain), Level 2 (6°-10° slope and relatively flat terrain), Level 3 (11°-15° slope and some undulation), Level 4 (16°-22° slope and significant undulation), and Level 5 (23°-30° slope and complex terrain). The suitable construction terrain threshold level was determined to be Level 2. The first suitable construction area is quantitatively constrained by a slope value ≤ 15° at the site selection point and a terrain level ≥ 2 at the site selection point.

[0050] S160: Based on the characteristics of land cover types, conduct feature analysis to determine the construction land attribute, and use the construction land attribute of the site selection point as a quantitative constraint for the second suitable construction area; In this embodiment, the site selection planning system performs feature analysis based on terrain slope characteristics to identify and determine the land feature types corresponding to the construction land attributes, such as urban construction land, industrial land, and warehousing land. These land feature types are clearly identified as areas suitable for construction in the land use planning and possess the basic land conditions required for substation construction.

[0051] In this embodiment of the application, the site selection planning system uses the construction land attribute of the site selection point as a quantitative constraint for the second suitable construction area. That is, only when the land feature type of the site selection point belongs to the range of the determined construction land attribute does the site selection point meet the requirements of the second suitable construction area.

[0052] In this embodiment, the land use type vector data of a substation planning area includes land feature types such as cultivated land, forest land, urban construction land, industrial land, water area, and unused land. The site selection planning system analyzes the characteristics of these land feature types and, based on the local land use master plan, determines that the land feature types corresponding to the construction land attribute are urban construction land and industrial land. This is because these two types of land feature types are clearly defined in the plan as areas suitable for construction and development, possessing the necessary infrastructure support potential. The second suitable construction area quantitative constraint is that the land feature type where the site selection point is located belongs to urban construction land or industrial land.

[0053] S170: Based on the distance characteristics of existing power facilities, perform feature analysis to determine the distance limit range of existing transmission lines, and use the location of the site selection point within the distance limit range as a quantitative constraint for the third suitable construction area; In this embodiment of the application, the site selection planning system performs feature analysis based on the distance characteristics of existing power facilities, focusing on the distribution of existing transmission lines. Therefore, by combining the power transmission loss and safety distance between the substation and the existing transmission line, the site selection planning system determines the distance limit range of the existing transmission line. This range refers to the interval at a certain distance from the existing transmission line. Constructing a substation within this interval facilitates access to the power network and ensures safety.

[0054] In this embodiment of the application, the site selection planning system uses the location of the site selection point within the distance limit as a quantitative constraint for the third suitable construction area. That is, the site selection point meets the requirements of the third suitable construction area only when the straight distance between the site selection point and the existing transmission line is within the distance limit.

[0055] In this embodiment of the application, there are three existing transmission lines in the planning area of ​​a certain substation, namely transmission line A, transmission line B, and transmission line C. The site selection planning system analyzes the distance characteristics of the existing power facilities. Considering the convenience of connecting the substation to the transmission lines, too far a distance will increase the transmission loss of the lines, while too close a distance may pose a safety hazard. The distance limit range of the existing transmission lines is determined to be 500-2000 meters. The quantitative constraint of the third suitable construction area is that the straight-line distance between the site selection point and the existing transmission line A, transmission line B, or transmission line C is between 500-2000 meters.

[0056] S180: The quantitative constraints of the first suitable construction area, the second suitable construction area, and the third suitable construction area are merged to obtain the suitable construction area constraint.

[0057] In this embodiment, the site selection planning system integrates the quantitative constraints of the first suitable construction area, the second suitable construction area, and the third suitable construction area. During the integration process, spatial logic AND operation is used, meaning that only areas that simultaneously meet the quantitative constraints of all three suitable construction areas are considered to meet the suitable construction area constraints, thus obtaining the suitable construction area constraints. These constraints clearly define the area within the planning zone suitable for constructing a substation.

[0058] Continuing with the above embodiments, the site selection planning system integrates the quantitative constraints of the first suitable construction area (slope value ≤ 15° and terrain level ≥ 2), the quantitative constraints of the second suitable construction area (belonging to urban construction land or industrial land), and the quantitative constraints of the third suitable construction area (distance from existing transmission lines 500-2000 meters) of a certain substation planning area to obtain the suitable construction area constraints.

[0059] In this embodiment of the application, the processes of steps S310 to S370 include: S310: Divide the suitable construction area of ​​the target into multiple sub-location spatial regions, and determine the positional relationship between any first target sub-location spatial region and the prohibited construction area constrained by the prohibited construction area; In this embodiment of the application, the site selection planning system divides the target suitable construction area into multiple sub-location spatial regions according to certain rules. The division rules can be based on the size of the spatial grid, such as a 100m*100m square grid, or natural geographical boundaries such as roads, rivers, etc.

[0060] In this embodiment of the application, for each divided sub-location spatial region, the site selection planning system selects any first target sub-location spatial region and determines the positional relationship between the first target sub-location spatial region and the prohibited construction zone constrained by the prohibited construction zone by means of spatial coordinate comparison. The positional relationship includes three cases: completely within the prohibited construction zone, not completely within the prohibited construction zone, and completely outside the prohibited construction zone and completely outside the safety buffer zone.

[0061] Continuing with the above embodiment, the target suitable construction area for a certain substation planning zone is a rectangular area of ​​50 square kilometers. The site selection planning system divides this area into 5000 sub-location spatial regions using a 100m x 100m grid. One of the first target sub-location spatial regions is selected, with its coordinate range being the starting point. =1000 meters, =2000 meters to the finish line =1100 meters, =2100 meters. The prohibited construction zone includes provincial wetland park ecological protection areas, i.e., the coordinate range. =800 meters to =1200 meters, =1800 meters to =2200 meters, river and reservoir water protection areas, etc. Through coordinate comparison, the entire coordinate range of the spatial area of ​​the first target sub-location is within the coordinate range of the provincial wetland park ecological protection area. Therefore, its location is determined to be completely within the prohibited construction area.

[0062] For situations where the location is entirely within a prohibited construction zone: S320: Remove the first target sub-location spatial region from the target suitable construction area to obtain the second target sub-location spatial region; In this embodiment of the application, when it is determined that the positional relationship between the first target sub-location spatial region and the prohibited construction zone is that the region is completely within the prohibited construction zone, the site selection planning system performs a removal operation to remove the first target sub-location spatial region from all sub-location spatial regions included in the target suitable construction area, and the remaining sub-location spatial region is the second target sub-location spatial region.

[0063] Continuing with the above embodiment, the first target sub-location spatial region, i.e., the coordinate range of 1000 to 1100 meters × 2000 to 2100 meters, is entirely located within the provincial wetland park ecological protection zone, which is a prohibited construction area. The site selection planning system removes this sub-location spatial region from the 5000 sub-location spatial regions, leaving 4999 sub-location spatial regions that constitute the second target sub-location spatial region.

[0064] For situations where the location is not entirely within the prohibited construction zone: S330: Identify candidate location spatial regions within the first target sub-location spatial region that are not located within the prohibited construction zone; In this embodiment of the application, when it is determined that the spatial relationship between the first target sub-location spatial region and the prohibited construction zone is that the region is not completely within the prohibited construction zone, the part of the first target sub-location spatial region not covered by the prohibited construction zone is calculated through spatial overlay analysis, and this part of the region is the candidate location spatial region.

[0065] Continuing with the above embodiments, the coordinate range of the first target sub-location spatial region is the starting point. =900 meters, =1900 meters to the finish line =1200 meters, =2200 meters, the starting point is the coordinate range of the provincial wetland park ecological protection zone within the prohibited construction area. =1000 meters, =2000 meters to the finish line =1100 meters, =2100 meters. The spatial area of ​​this first target sub-location is partially within the prohibited construction zone and partially outside the zone. Through overlay analysis, the site selection planning system determined the areas not within the prohibited construction zone to be: (900m-1000m × 1900m-2000m), (900m-1000m × 2100m-2200m), (1100m-1200m × 1900m-2000m), and (1100m-1200m × 2100m-2200m). These areas together constitute the candidate location spatial area.

[0066] S340: Select the first candidate sub-region from the candidate location spatial regions that is located in the safety buffer zone of the prohibited construction area; calculate the ecological sensitivity compatibility coefficient of the first candidate sub-region relative to the ecological protection zone within the prohibited construction area, and the water pollution compatibility coefficient relative to the water protection zone within the prohibited construction area; In this embodiment of the application, in the candidate location spatial area, the site selection planning system identifies the part located within the safety buffer zone of the prohibited construction zone and determines it as the first candidate sub-region. The safety buffer zone is a certain width range set outside the boundary of the prohibited construction zone, for example, 50 meters.

[0067] In this embodiment of the application, the site selection planning system calculates the ecological sensitivity compatibility coefficient between the first candidate sub-region and the ecological protection zone within the prohibited construction area. This coefficient reflects the region's compatibility with the sensitivity of the ecological protection zone. At the same time, it calculates the water pollution compatibility coefficient between the first candidate sub-region and the water protection zone within the prohibited construction area. This coefficient reflects the region's compatibility with the pollution risk of the water protection zone.

[0068] Formula for calculating the ecological sensitivity compatibility coefficient: in, Ecological sensitivity compatibility coefficient; The distance between the first candidate sub-region and the boundary of the ecological protection zone is expressed in meters. The baseline distance is 30 meters. The distance influence coefficient has a value of 0.05. The intensity of construction activities within the first candidate sub-region, with a value ranging from 0 to 1; The maximum construction activity intensity is set to 1.

[0069] Formula for calculating the water source pollution compatibility coefficient: .

[0070] in, The water source pollution compatibility coefficient; The distance between the first candidate sub-region and the boundary of the water protection zone, in meters; The baseline distance is 40 meters. The distance influence coefficient has a value of 0.04. The potential pollution emissions for the first candidate sub-region are expressed in tons per year. This is the maximum permissible amount of pollution emissions.

[0071] In this embodiment, the safety buffer zone of the prohibited construction zone is a 50-meter radius outside the boundary. The candidate location area (1000-1050m × 2000-2050m) lies within this safety buffer zone and is identified as the first candidate sub-region. The ecological sensitivity compatibility coefficient is calculated based on factors such as the distance between the first candidate sub-region and the ecological protection zone, and the vegetation coverage within the area. If the area is 30 meters from the boundary of the ecological protection zone and has 60% vegetation coverage, the calculated ecological sensitivity compatibility coefficient is 0.6. The water pollution compatibility coefficient is calculated based on factors such as the distance between the area and the water protection zone, and soil permeability. If the area is 40 meters from the boundary of the water protection zone and has moderate soil permeability, the calculated water pollution compatibility coefficient is 0.5.

[0072] S350: If the ecological sensitivity compatibility coefficient is less than or equal to the preset sensitivity compatibility threshold or the water pollution compatibility coefficient is less than or equal to the preset pollution compatibility threshold, then the second candidate sub-region in the candidate location spatial region is determined as the second target sub-location spatial region. In this embodiment, the site selection planning system compares the ecological sensitivity compatibility coefficient with a preset sensitivity compatibility threshold, for example, 0.7; and compares the water pollution compatibility coefficient with a preset pollution compatibility threshold, for example, 0.6. If the ecological sensitivity compatibility coefficient is less than or equal to the preset sensitivity compatibility threshold, or / and the water pollution compatibility coefficient is less than or equal to the preset pollution compatibility threshold, then the first candidate sub-region is removed from the candidate location spatial region, and the remaining part becomes the second candidate sub-region, which is determined as the second target sub-location spatial region.

[0073] In this embodiment, the preset sensitivity compatibility threshold is 0.7, and the preset pollution compatibility threshold is 0.6. The ecological sensitivity compatibility coefficient of the first candidate sub-region is 0.6, which is less than the threshold of 0.7; the water pollution compatibility coefficient is 0.5, which is less than the threshold of 0.6. Therefore, the system eliminates the first candidate sub-region with coordinates ranging from 1000m to 1050m × 2000m to 2050m. The remaining part of the candidate location space region, namely the region with coordinates ranging from 900m to 1000m × 1900m to 2000m, 900m to 1000m × 2100m to 2200m, 1100m to 1200m × 1900m to 2000m, and 1100m to 1200m × 2100m to 2200m, is designated as the second candidate sub-region and is determined as the second target sub-location space region.

[0074] For situations where the location is neither within the prohibited construction zone nor within the safety buffer zone: S360: The spatial region of the first target sub-location is initially determined as the spatial region of the second target sub-location; In this embodiment of the application, when it is determined that the spatial relationship between the first target sub-location area and the prohibited construction zone is such that it is completely outside the prohibited construction zone and completely outside the safety buffer zone, the first target sub-location area is directly designated as the second target sub-location area. For example, if the coordinate range of a certain first target sub-location area is 1200m-1300m * 2200m-2300m, and it is determined that it is completely outside the prohibited construction zone and the safety buffer zone, this area is directly designated as the second target sub-location area.

[0075] S370: Combining the constraints of the suitable construction area, the spatial region of the second target sub-location is further filtered to finally obtain the spatial region of the target location.

[0076] In this embodiment of the application, the site selection planning system performs regional screening based on the constraints of the suitable construction area and the spatial region of the second target sub-location to obtain the target location spatial region, as specifically in steps S371 to S375.

[0077] In this embodiment of the application, steps S371 to S375 include: S371: Remove the sub-location spatial regions in the second target sub-location spatial region that do not meet the suitable construction area constraints to obtain the third target sub-location spatial region; In this embodiment, the site selection planning system checks each second target sub-location spatial region to see if it meets all the conditions of the suitable construction area constraint. Specifically, this includes: a first suitable construction area quantitative constraint, i.e., a slope value less than or equal to the suitable construction slope threshold and a terrain grade greater than or equal to the suitable construction terrain threshold; a second suitable construction area quantitative constraint, i.e., belonging to the construction land attribute; and a third suitable construction area quantitative constraint, i.e., located within the distance limit of existing transmission lines. The system removes sub-location spatial regions that do not meet any of these conditions from the second target sub-location spatial regions, and the remaining region becomes the third target sub-location spatial region.

[0078] In this embodiment, the second target sub-location spatial area of ​​a substation planning zone comprises 50 sub-regions. Suitable construction area constraints include a slope ≤ 15°, terrain level ≥ 2, belonging to urban construction land or industrial land, and distance from existing transmission lines between 500 and 2000 meters. After checking each sub-region, it was found that sub-region A, with a slope of 12°, terrain level 3, belonging to industrial land, and distance from transmission lines 1200 meters, meets all conditions. Sub-region B, with a slope of 16°, exceeds the 15° limit; although it has a terrain level of 3, belongs to urban construction land, and is 1000 meters from transmission lines, it is excluded because it does not meet the slope requirement. Sub-region C, with a slope of 10°, terrain level 1, below the level 2 limit; although it belongs to industrial land and is 800 meters from transmission lines, it is excluded because it does not meet the terrain level requirement. Sub-region D has a slope of 8° and a terrain level of 2, but it is classified as farmland rather than construction land. Although it is 1500 meters away from the power transmission line, it is eliminated because it does not meet the land feature type requirements. Sub-region E has a slope of 12° and a terrain level of 2, and it is classified as urban construction land, but it is 2500 meters away from the power transmission line, exceeding the 2000-meter limit, and is therefore eliminated because it does not meet the distance requirement. Sub-regions B, C, D, and E are ultimately eliminated, leaving 46 sub-regions that meet the requirements, constituting the third target sub-location spatial region.

[0079] S372: For each first sub-region in the third target sub-location spatial region, count the number of adjacent sub-regions that have a spatial adjacency relationship with the corresponding first sub-region, and use this as the number of second regions; determine the first sub-regions whose number of second regions is greater than or equal to a preset threshold as the fourth target sub-location spatial region; wherein, spatial adjacency relationship represents that two sub-regions are in contact with each other in space; mutual contact includes but is not limited to situations such as sharing boundaries and sharing vertices.

[0080] In this embodiment, the site selection planning system identifies all sub-regions spatially adjacent to each first sub-region within the third target sub-location spatial region through spatial topology analysis, and counts the number of these sub-regions, i.e., the number of second regions. The number of second regions is compared with a preset threshold, for example, 3. If the number of second regions is greater than or equal to the preset threshold, then the first sub-region is determined as the fourth target sub-location spatial region.

[0081] In this embodiment, the third target sub-location spatial region comprises 46 first sub-regions, with a preset threshold of 3. The location planning system analyzes sub-region F: sub-regions F1, F2, and F3 share its boundary, and sub-region F4 shares its vertex, resulting in 4 second regions. This number is greater than the preset threshold of 3, therefore sub-region F is determined as the fourth target sub-region. Sub-region G is analyzed: only sub-regions G1 and G2 have spatial adjacency with it, resulting in 2 second regions, which is less than the preset threshold of 3, therefore sub-region G is not included in the fourth target sub-region. After screening, a total of 30 first sub-regions meet the criteria, constituting the fourth target sub-location spatial region.

[0082] S373: For each second sub-region in the fourth target sub-location spatial region, determine the actual distance between the second sub-region and the existing transmission line, as well as the distance difference between the second sub-region and the median of the distance limit range; In this embodiment, the site selection planning system calculates the actual straight-line distance between each second sub-region within the fourth target sub-location spatial region and the existing transmission line, defining this distance as the actual distance. Simultaneously, based on the distance limit range of the existing transmission line, for example, 500 meters to 2000 meters, the system calculates the median of the distance limit range (median = (upper limit + lower limit) / 2). Further, the site selection planning system calculates the difference between the actual distance and the median (distance difference = |actual distance - median|).

[0083] In this embodiment, the fourth target sub-location spatial region includes 30 second sub-regions. The distance limit of the existing transmission line is 500 meters to 2000 meters, and the median of the distance limit is (2000 + 500) / 2 = 1250 meters. The actual distance between sub-region H and the existing transmission line is calculated to be 1300 meters, with a distance difference of |1300 - 1250| = 50 meters; the actual distance between sub-region I and sub-region J is calculated to be 800 meters, with a distance difference of |800 - 1250| = 450 meters; the actual distance between sub-region J and sub-region J is calculated to be 1800 meters, with a distance difference of |1800 - 1250| = 550 meters.

[0084] S374: The second sub-region whose distance difference is less than or equal to half of the difference of the distance limit range is determined as the fifth target sub-location spatial region; In this embodiment of the application, the site selection planning system calculates the difference in the distance range of the existing transmission lines (distance range difference = upper limit - lower limit), determines half of the difference, i.e. distance range difference / 2, and compares the distance difference of each second sub-region with half of the distance range difference. If the distance difference is ≤ half of the distance range difference, then the second sub-region is determined as the fifth target sub-location spatial region.

[0085] In this embodiment, the existing transmission line distance limit range is 500 meters to 2000 meters. The distance difference is 2000 - 500 = 1500 meters, and half of the difference is 1500 / 2 = 750 meters. In S373, the distance difference of sub-region H is 50 meters, which is less than 750 meters, and it is identified as the fifth target sub-region; the distance difference of sub-region I is 450 meters, which is less than 750 meters, and it is identified as the fifth target sub-region; the distance difference of sub-region J is 550 meters, which is less than 750 meters, and it is identified as the fifth target sub-region. If the actual distance of a certain sub-region K is 300 meters, although this distance exceeds the distance limit range, it has already passed the screening in S371 and such a situation does not actually exist. Assuming its distance difference is |300 - 1250| = 950 meters, which is greater than 750 meters, it is not included in the fifth target sub-region. Ultimately, 28 of the 30 second sub-regions that meet the criteria constitute the fifth target sub-location spatial region.

[0086] S375: Based on the stability of terrain slope and the consistency of construction land attributes in the suitable construction area constraints, the spatial region of the fifth target sub-location is screened to obtain the target location spatial region.

[0087] In this embodiment of the application, the site selection planning system performs regional screening on the fifth target sub-location spatial region based on the stability of the terrain slope and the consistency of the construction land attributes in the suitable construction area constraints, and obtains the target location spatial region, as specifically in steps S3751 to S3754.

[0088] S3751: For each third sub-region in the fifth target sub-location spatial region, the terrain slope stability is determined based on the ratio of the slope value of the third sub-region to the suitable construction slope threshold value, and the third sub-region with a terrain slope stability coefficient greater than or equal to the preset stability threshold is determined as the sixth target sub-location spatial region. In an optional implementation, the extraction of topographic slope features and stability assessment in step S3751 can also be based on a digital elevation model (DEM) to fill depressions and calculate flow direction and cumulative flow values ​​to extract river networks and watershed boundaries, divide water catchment units and analyze runoff paths, confluence times and potential flooding risks, and comprehensively assess the hydrological stability of the site selection area based on hydrological connectivity and erosion indicators.

[0089] In an optional implementation, the extraction of terrain slope features and stability assessment in step S3751 can also select multiple disaster-causing factors such as slope, lithology, fault distance and rainfall, and construct an evaluation index system. The weight of each factor is determined by the analytic hierarchy process or information volume model, and a disaster sensitivity zoning map is generated by superimposing them. Based on the principle of avoiding highly sensitive areas, suitable geologically stable site selection areas are selected.

[0090] In this embodiment of the application, the site selection planning system compares the terrain slope stability coefficient with a preset stability threshold. If the terrain slope stability coefficient is greater than or equal to the preset stability threshold, the third sub-region is determined as the sixth target sub-location spatial region.

[0091] In this embodiment, the suitable slope threshold is 15°, and the preset stability threshold is 0.8. The fifth target sub-location spatial region contains 28 third sub-regions. The site selection planning system calculates for each third sub-region: Sub-region A has a slope of 12°, and its terrain slope stability coefficient = 12° / 15° = 0.8, which is equal to the preset stability threshold of 0.8. Therefore, sub-region A is determined as the sixth target sub-location spatial region; Sub-region B has a slope of 10°, and its terrain slope stability coefficient = 10° / 15° ≈ 0.67, which is less than the preset stability threshold of 0.8. Therefore, sub-region B is not included in the sixth target sub-location spatial region; Sub-region C has a slope of 14°, and its terrain slope stability coefficient = 14° / 15° ≈ 0.93, which is greater than the preset stability threshold of 0.8. Therefore, sub-region C is determined as the sixth target sub-location spatial region. After screening, a total of 18 third sub-regions meet the conditions and constitute the sixth target sub-location spatial region.

[0092] S3752: For each fourth sub-region in the sixth target sub-location spatial region, extract the land feature type attribute sub-type of the fourth sub-region, and completely include the land feature type attribute sub-type in the fourth sub-region of the construction land attribute sub-type, and determine it as the seventh target sub-location spatial region. In this embodiment, the site selection planning system performs land feature type attribute analysis on each fourth sub-region within the sixth target sub-location spatial region, extracting the sub-categories of land feature type attributes for each fourth sub-region. For example, industrial land can be subdivided into heavy industrial land, light industrial land, etc., and urban construction land can be subdivided into residential construction land, commercial construction land, etc. Simultaneously, the scope of the sub-categories of construction land attributes is clearly defined, encompassing all sub-categories of land feature attributes permitted for substation construction.

[0093] In this embodiment of the application, the site selection planning system checks whether the land feature type attribute sub-type of each fourth sub-region is completely included in the construction land attribute sub-type. If it is completely included, the fourth sub-region is determined as the seventh target sub-location spatial region.

[0094] Continuing with the above embodiment, the sub-categories of construction land attributes include light industrial land and commercial construction land. The sixth target sub-location spatial area contains 18 fourth sub-areas. The site selection planning system checks each fourth sub-area: the land feature type attribute sub-category of sub-area D is light industrial land, which is completely included within the scope of construction land attribute sub-categories; therefore, sub-area D is identified as the seventh target sub-location spatial area. The land feature type attribute sub-category of sub-area E is heavy industrial land, which is not within the scope of construction land attribute sub-categories; therefore, sub-area E is not included in the seventh target sub-location spatial area. The land feature type attribute sub-category of sub-area F is commercial construction land, which is completely included within the scope of construction land attribute sub-categories; therefore, sub-area F is identified as the seventh target sub-location spatial area. After screening, a total of 12 fourth sub-areas meet the criteria, constituting the seventh target sub-location spatial area.

[0095] S3753: For each fifth sub-region in the spatial region of the seventh target sub-location, calculate the spatial aggregation degree between the fifth sub-region and all sixth sub-regions; the sixth sub-region is the sub-region in the spatial region of the seventh target sub-location excluding the fifth sub-region; the spatial aggregation degree is the reciprocal of the sum of the spatial distances between the fifth sub-region and all sixth sub-regions; In this embodiment of the application, the site selection planning system defines all other sub-regions in the seventh target sub-location spatial region, excluding the fifth sub-region, as sixth sub-regions for each fifth sub-region in the seventh target sub-location spatial region. Further, the site selection planning system calculates the spatial straight-line distance between the fifth sub-region and each sixth sub-region, and adds these spatial straight-line distances together to obtain the total spatial distance.

[0096] In this embodiment of the application, the site selection planning system defines the reciprocal of the sum of spatial distances as the spatial aggregation degree between the fifth sub-region and all sixth sub-regions.

[0097] Continuing with the above embodiment, the seventh target sub-location spatial region comprises 12 fifth sub-regions, namely sub-region 1 to sub-region 12. The site selection planning system calculates the spatial aggregation degree of sub-region 1, where the straight-line spatial distance between sub-region 1 and sub-region 2 is 200 meters, the straight-line spatial distance between sub-region 1 and sub-region 3 is 300 meters, the straight-line spatial distance between sub-region 1 and sub-region 4 is 250 meters, and so on until the straight-line spatial distance between sub-region 1 and sub-region 12 is 400 meters. These distances are added together to obtain a total spatial distance of 3500 meters, and its spatial aggregation degree = 1 / 3500 ≈ 0.000286. The spatial aggregation degree of sub-region 2 is calculated; the total straight-line spatial distance between sub-region 2 and the other 10 sub-regions is 3200 meters, and its spatial aggregation degree = 1 / 3200 ≈ 0.000313. This process is repeated to obtain the spatial aggregation degree of each fifth sub-region.

[0098] S3754: The fifth sub-region with the highest spatial aggregation degree among the previous preset number is determined as the target location spatial region.

[0099] In this embodiment, the site selection planning system sorts the spatial aggregation degree of all fifth sub-regions in the seventh target sub-location spatial region in descending order. A preset number is set according to actual needs, and the top preset number of fifth sub-regions with the highest spatial aggregation degree are selected as the target location spatial region.

[0100] Continuing with the above embodiment, the seventh target sub-location spatial region includes 12 fifth sub-regions, with a preset quantity of 5. After sorting the spatial aggregation degree of the 12 fifth sub-regions, the top 5 sub-regions with the highest spatial aggregation degree are: sub-region 3, with a spatial aggregation degree of 0.00035; sub-region 5, with a spatial aggregation degree of 0.00033; sub-region 7, with a spatial aggregation degree of 0.00031; sub-region 9, with a spatial aggregation degree of 0.00029; and sub-region 11, with a spatial aggregation degree of 0.00028. These 5 sub-regions are determined as the target location spatial region.

[0101] In this embodiment of the application, the processes of steps S410 to S450 include: S410: For each first spatial region in the target location spatial region, determine the number of first spatial regions that have spatial intersection with the first spatial region, and determine the first spatial region with the largest number of first spatial regions as the clustering core spatial region; In this embodiment, the site selection planning system identifies all spatial regions that have spatial intersection with each first spatial region in the target location spatial region through spatial topology analysis. These regions are those with overlapping areas. The number of these overlapping areas is counted, which is the number of first regions. All first spatial regions are sorted in descending order of their number. The first spatial regions that are at the top of the sort and have a preset number (e.g., 3) are selected as the clustering core spatial regions.

[0102] In this embodiment, the target location spatial region comprises 10 first spatial regions, namely regions A to J. Analysis of the number of first regions in each region reveals that region A intersects with regions B, C, D, and E, and has 4 first regions; region B intersects with regions A, C, and F, and has 3 first regions; region C intersects with regions A, B, D, F, and G, and has 5 first regions; region D intersects with regions A, C, and G, and has 3 first regions; the remaining regions have fewer than 3 first regions. Setting a preset number of 3, the system selects the three regions with the highest number of first regions—region C with 5 first regions, region A with 4 first regions, and region B with 3 first regions—as the clustering core spatial regions.

[0103] S420: Group the second spatial regions in the target location spatial region whose regional distance from each cluster core spatial region is less than or equal to a preset distance threshold into the same cluster to obtain a preliminary regional cluster; In this embodiment, the site selection planning system calculates the regional distance between each second spatial region and each cluster core spatial region in the target location spatial region, that is, the straight-line distance between the centroids of the two regions. The regional distance is compared with a preset distance threshold. If the regional distance between a second spatial region and a certain cluster core spatial region is less than or equal to the preset distance threshold, the second spatial region is classified into the cluster in which the cluster core spatial region is located. All second spatial regions are classified to obtain a preliminary regional cluster.

[0104] Continuing with the above embodiment, the core spatial regions for clustering are regions C, A, and B, with a preset distance threshold of 500 meters. The remaining secondary spatial regions in the target location spatial region are D, E, F, G, H, I, and J. Distance calculations show that the centroid distance between region D and region C is 300 meters, which is less than 500 meters, so they are classified into the same cluster as region C; the centroid distance between region E and region A is 200 meters, which is less than 500 meters, so they are classified into the same cluster as region A; the centroid distance between region F and region B is 400 meters, which is less than 500 meters, so they are classified into the same cluster as region B; the centroid distance between region G and region C is 450 meters, which is less than 500 meters, so they are classified into the same cluster as region C; regions H, I, and J are all more than 500 meters away from the three core regions and are not classified for now. This results in three preliminary regional clusters: cluster 1 includes regions C, D, and G; cluster 2 includes regions A and E; and cluster 3 includes regions B and F.

[0105] S430: Determine the spatial compactness index of each preliminary region cluster based on the area and perimeter of the polygon formed by all spatial regions in each preliminary region cluster. In this embodiment, for each preliminary regional cluster, the site selection planning system merges all spatial areas within the cluster into a single polygon, calculates the area of ​​this polygon (in square meters), and its perimeter (in meters). Based on the area and perimeter, a preset formula is used to calculate the spatial compactness index of each preliminary regional cluster. This index reflects the compactness of the cluster's shape; a higher index indicates a shape closer to a circle and a more concentrated spatial distribution. The preset formula is as follows: ,in, This is a space compactness index, with a value ranging from 0 to 1; The area of ​​the merged polygons is shown in square meters. The perimeter of the merged polygons, in meters; Pi is the mathematical constant of a circle, and its value is 3.1416.

[0106] Continuing with the above embodiments, the area of ​​the merged polygon in the initial region cluster 1 is 100,000 square meters, and the perimeter is 1,400 meters; the area of ​​the merged polygon in cluster 2 is 80,000 square meters, and the perimeter is 1,300 meters; the area of ​​the merged polygon in cluster 3 is 60,000 square meters, and the perimeter is 1,100 meters. Calculations using the spatial compactness index formula show that the index for cluster 1 is = The exponent of cluster 2 = The exponent of cluster 3 = .

[0107] S440: Determine the target area clusters based on the spatial compactness index of each preliminary area cluster, and determine the center coordinates of each target area cluster as the site selection point; In this embodiment of the application, the site selection planning system determines the target area cluster based on the spatial compactness index of each preliminary area cluster, as specifically in steps S410 to S440.

[0108] In the embodiments of this application, for each target area cluster, the site selection planning system calculates the geometric center coordinates of its merged polygons, i.e., the center coordinates, and determines the center coordinates as the site selection point.

[0109] In this embodiment of the application, the clustering and cluster selection of the site selection points in step S440 determines the cluster core based on the number of spatial intersections, and merges the surrounding areas to form a preliminary cluster by using a preset distance threshold. The spatial compactness index (based on the area-to-perimeter ratio), internal connectivity index (based on the number of connected state pairs), and resource suitability index of the cluster polygon are calculated. The final target area cluster is determined through multi-level threshold selection, and its geometric center is taken as the site selection point.

[0110] In one alternative implementation, step S440 defines a neighborhood radius and a minimum number of points threshold to identify high-density areas. Based on the density reachability of points, connected high-density points are automatically grouped into clusters of arbitrary shapes and low-density noise points are marked. Effective clusters are selected based on density indicators such as the number of points contained in the cluster or the spatial range.

[0111] In one optional implementation, in step S440, the number of clusters K is preset and K centroids are randomly initialized. The distance from each selected point to the centroid is iteratively calculated and assigned to the nearest cluster. The cluster center is recalculated until convergence. The optimal construction cluster is selected based on the distribution density of points within each cluster or the comprehensive score.

[0112] Continuing with the above embodiment, the final target region clusters are cluster 1 and cluster 3. The center coordinates of the merged polygon of cluster 1 are calculated as ( =1500 meters, =2500 meters), determined as site selection point 1; calculate the center coordinates of the merged polygon of cluster 3 as ( =1800 meters, =2200 meters), which was determined as site selection point 2.

[0113] S450: Determine the coverage area of ​​power shortage based on the power shortage area, and determine the site within the power shortage coverage area as the final substation site.

[0114] In this embodiment, the site selection planning system determines the power shortage area based on the spatial source load calculation results and delineates the power shortage coverage area, namely the power shortage area and a certain buffer zone around it. Further, the site selection planning system spatially compares the coordinates of all site selection points with the power shortage coverage area. If the coordinates of a site selection point are within the power shortage coverage area, then that site selection point is determined as the final substation site selection point.

[0115] In this embodiment of the application, the power shortage area is the eastern industrial zone (coordinate range). =1200 meters-1600 meters, =2300m-2700m) and newly developed residential areas in the south (coordinate range) =1700m-2000m, =2000m-2300m), the power shortage coverage area extends 1000m beyond the aforementioned area. Site 1 (1500m, 2500m) is located within the power shortage coverage area of ​​the eastern industrial zone; Site 2 (1800m, 2200m) is located within the power shortage coverage area of ​​the newly developed residential area in the south. Therefore, the site selection planning system has determined both of these site locations as the final substation site.

[0116] In this embodiment of the application, the process of steps S441 to S444 includes: S441: The preliminary region clusters with a spatial compactness index greater than or equal to the preset compactness threshold are identified as the first candidate region clusters, and the internal connectivity index is determined based on the connectivity between any two spatial regions in each first candidate region cluster and the number of spatial regions in each candidate region cluster. In this embodiment of the application, the site selection planning system compares the spatial compactness index of each preliminary regional cluster with a preset compactness threshold, and determines the preliminary regional clusters with a spatial compactness index greater than or equal to the preset compactness threshold as the first candidate regional clusters.

[0117] In this embodiment, for each first candidate region cluster, the site selection planning system analyzes the connectivity status between any two spatial regions. The connectivity status is divided into connected (there is a passable path, such as a road connection) and disconnected. The number of connected spatial region pairs is counted, and combined with the total number of spatial regions in the first candidate region cluster, an internal connectivity index is calculated using a preset formula. This index reflects the degree of connectivity between spatial regions within the cluster. The formula for calculating the internal connectivity index is: in, It is the internal connectivity index. This represents the number of connected spatial regions in the cluster. This represents the total number of spatial regions in the cluster.

[0118] In this embodiment, there are three initial regional clusters, with a preset compactness threshold of 0.6. The spatial compactness index of cluster 1 is 0.641, and that of cluster 3 is 0.623, both greater than or equal to 0.6, and they are identified as the first candidate regional clusters. The index of cluster 2 is 0.595, less than 0.6, and is not included. For cluster 1, it contains spatial regions C, D, and G, a total of three spatial regions. The connectivity between any two spatial regions is: C and D connected, C and G connected, and D and G connected, with a total of 3 connected spatial region pairs. According to the internal connectivity index formula, the internal connectivity index of cluster 1 is 3 / [3*(3-1) / 2]=3 / 3=1. For cluster 3, it contains spatial regions B and F, a total of two spatial regions. B and F are connected, with a total of 1 connected spatial region pair, and its internal connectivity index is 1 / [2*(2-1) / 2]=1 / 1=1.

[0119] S442: The first candidate region cluster with an internal connectivity index greater than or equal to the preset internal connectivity threshold is determined as the second candidate region cluster, and the types of available resources and the amount of each available resource in the available region corresponding to each second candidate region cluster are determined. In this embodiment, the site selection planning system compares the internal connectivity index of each first candidate region cluster with a preset internal connectivity threshold, and determines the first candidate region clusters whose internal connectivity index is greater than or equal to the preset internal connectivity threshold as second candidate region clusters. Further, the system determines the usable area corresponding to each second candidate region cluster, which is the area within a certain range surrounding the second candidate region cluster itself. Further, the site selection planning system investigates and identifies the types of available resources in the usable area, such as water resources, power resources, and transportation resources, and calculates the resource quantity of each type of available resource.

[0120] Continuing with the above embodiments, the preset internal connectivity threshold value is 0.8. In the first candidate region clusters, the internal connectivity index of cluster 1 is 1, and that of cluster 3 is 1, both greater than or equal to 0.8, thus they are determined as the second candidate region clusters. The usable area corresponding to cluster 1 is itself and a 500-meter radius around it. The types and quantities of usable resources within this area include 5000 cubic meters of exploitable water resources per day, 10000 kVA of existing power supply capacity, and two main roads passing through it. The usable area corresponding to cluster 3 is itself and a 500-meter radius around it. Its usable resources include 3000 cubic meters of exploitable water resources per day, 8000 kVA of existing power supply capacity, and one main road passing through it.

[0121] S443: Determine the resource suitability index based on the resource quantity of each available resource in the available region and the total demand of each second candidate region cluster for each available resource; In this embodiment, the site selection planning system determines the total demand for each type of available resource for each second candidate region cluster. Further, the system compares the resource quantity of each available resource in the available region with the total demand for that resource in the second candidate region cluster, and calculates a resource suitability index using a preset formula. This index reflects the degree of matching between available resources and demand. The formula for calculating the resource suitability index is: in, This is a resource suitability index. This refers to the types and quantities of available resources. For the first The amount of available resources. For the second candidate region cluster to the first The total demand for a variety of available resources.

[0122] In this embodiment, the second candidate region clusters are cluster 1 and cluster 3. Cluster 1 has a total water resource demand of 4000 cubic meters / day, a total power resource demand of 8000 kVA, and a total transportation resource demand of at least one main road; the available area has 5000 cubic meters / day of water resources, 10000 kVA of power resources, and two main roads for transportation. According to the resource suitability index formula, the water resource suitability of cluster 1 is min(5000, 4000) / 4000 = 4000 / 4000 = 1; the power resource suitability is min(10000, 8000) / 8000 = 8000 / 8000 = 1; the transportation resource suitability is min(2, 1) / 1 = 1 / 1 = 1; the resource suitability index is (1+1+1) / 3 = 1. Cluster 3 has a total water demand of 2500 cubic meters / day, a total power demand of 7000 kVA, and a total transportation demand of at least one main road. The available area has 3000 cubic meters / day of water resources, 8000 kVA of power resources, and one main road for transportation. Cluster 3's water resource suitability is calculated as follows: water resource suitability = min(3000, 2500) / 2500 = 2500 / 2500 = 1; power resource suitability is calculated as min(8000, 7000) / 7000 = 7000 / 7000 = 1; transportation resource suitability is calculated as min(1, 1) / 1 = 1 / 1 = 1; resource suitability index = (1+1+1) / 3 = 1.

[0123] S444: The second candidate region cluster with a resource adaptability index greater than or equal to the preset resource adaptability threshold is determined as the target region cluster.

[0124] In this embodiment, the site selection planning system compares the resource adaptability index of each second candidate region cluster with a preset resource adaptability threshold, and determines the second candidate region cluster whose resource adaptability index is greater than or equal to the preset resource adaptability threshold as the target region cluster. The preset resource adaptability threshold is 0.8; among the second candidate region clusters, the resource adaptability index of cluster 1 is 1, and that of cluster 3 is 1, both greater than or equal to 0.8; therefore, clusters 1 and 3 are determined as the target region clusters.

[0125] Example 3 is an embodiment of the present invention. This embodiment differs from the first embodiment in that it provides a substation site selection geographic information identification system.

[0126] It should be noted that the technical solution of the substation site selection geographic information identification system and the technical solution of the substation site selection geographic information identification method mentioned above belong to the same concept. For details not described in detail in the technical solution of the substation site selection geographic information identification system in this embodiment, please refer to the description of the technical solution of the substation site selection geographic information identification method mentioned above.

[0127] This embodiment provides a substation site selection geographic information identification system, comprising: The feature constraint module is used to acquire the first and second geographic data of the substation planning area, extract geographic features from the first geographic data to obtain geographic information features, and quantify the site selection constraints based on the geographic information features to obtain the substation site selection constraints. The semantic segmentation prediction module is used to input the second geographic data into the pre-trained semantic segmentation model, and use the pre-trained semantic segmentation model to identify and classify the surface features contained in the second geographic data to obtain the target suitable construction area. The area filtering module is used to use the substation site selection constraints as filtering rules to filter the target suitable construction area and obtain the target location spatial area. The substation site selection module is used to match and filter power shortage areas within the target location spatial area based on spatial source load calculations to obtain the final substation site selection point.

[0128] This embodiment also provides an electronic device applicable to a substation site selection geographic information identification method, including: The system includes a memory and a processor. The memory stores computer-executable instructions, and the processor executes these instructions to implement a substation site selection geographic information identification method as described in the above embodiments.

[0129] This embodiment also provides a storage medium storing a computer program that, when executed by a processor, implements a substation site selection geographic information identification method as proposed in the above embodiments.

[0130] The storage medium proposed in this embodiment belongs to the same inventive concept as the method for identifying geographic information for substation site selection proposed in the above embodiments. Technical details not described in detail in this embodiment can be found in the above embodiments, and this embodiment has the same beneficial effects as the above embodiments.

[0131] Based on the above description of the implementation methods, those skilled in the art can clearly understand that the present invention can be implemented using software and necessary general-purpose hardware, and of course, it can also be implemented using hardware, but in many cases the former is a better implementation method. Based on this understanding, the technical solution of the present invention, or the part that contributes to the prior art, can be embodied in the form of a software product. This computer software product can be stored in a computer-readable storage medium, such as a computer floppy disk, read-only memory (ROM), random access memory (RAM), flash memory, hard disk, or optical disk, etc., including several instructions to cause a computer device (which may be a personal computer, server, or network device, etc.) to execute the methods of the various embodiments of the present invention.

[0132] It should be noted that the above embodiments are only used to illustrate the technical solutions of the present invention and not to limit it. Although the present invention has been described in detail with reference to preferred embodiments, those skilled in the art should understand that modifications or equivalent substitutions can be made to the technical solutions of the present invention without departing from the spirit and scope of the technical solutions of the present invention, and all such modifications or substitutions should be covered within the scope of the claims of the present invention.

Claims

1. A method for identifying geographic information for substation site selection, characterized in that, include: Obtain the first and second geographic data of the substation planning area, extract geographic features from the first geographic data to obtain geographic information features, and quantify the site selection constraints based on the geographic information features to obtain the substation site selection constraints. The second geographic data is input into a pre-trained semantic segmentation model, which is then used to identify and classify the surface features contained in the second geographic data to obtain the target suitable construction area. Using the substation site selection constraints as screening rules, the target suitable construction area is screened to obtain the target location spatial area; Within the target location spatial area, the power shortage areas obtained based on spatial source load calculations are matched and screened to obtain the final substation site selection point.

2. The substation site selection geographic information identification method as described in claim 1, characterized in that: Within the target location spatial area, a matching and screening process is performed based on power shortage areas calculated from spatial source loads to obtain the final substation site selection point, including: For each first spatial region in the target location spatial region, determine the number of first spatial regions that have spatial intersection with the first spatial region, and determine the first spatial region with the largest number of first spatial regions as the clustering core spatial region; Second spatial regions in the target location spatial region whose regional distance from each cluster core spatial region is less than or equal to a preset distance threshold are grouped into the same cluster to obtain a preliminary regional cluster. Based on the area and perimeter of the polygon formed by all spatial regions in each preliminary region cluster, the spatial compactness index of each preliminary region cluster is determined. The target area clusters are determined based on the spatial compactness index of each preliminary area cluster, and the center coordinates of each target area cluster are determined as the site selection point. The power shortage coverage area is determined based on the power shortage area, and the site selection point within the power shortage coverage area is determined as the final substation site selection point.

3. The substation site selection geographic information identification method as described in claim 1 or 2, characterized in that: The determination of the target regional cluster based on the spatial compactness index of each preliminary regional cluster includes: Preliminary regional clusters with a spatial compactness index greater than or equal to a preset compactness threshold are identified as first candidate regional clusters. The internal connectivity index is determined based on the connectivity between any two spatial regions in each first candidate regional cluster and the number of spatial regions in each candidate regional cluster. The first candidate region cluster with an internal connectivity index greater than or equal to the preset internal connectivity threshold is determined as the second candidate region cluster, and the types of available resources and the amount of each available resource in the available regions corresponding to each second candidate region cluster are determined. The resource suitability index is determined based on the resource quantity of each available resource in the available regions and the total demand of each available resource for each second candidate region cluster. The second candidate region cluster whose resource adaptability index is greater than or equal to the preset resource adaptability threshold is determined as the target region cluster.

4. The substation site selection geographic information identification method as described in claim 3, characterized in that: The process of using the substation site selection constraints as a screening rule to perform regional screening on the target suitable construction area to obtain the target location spatial region includes: The target suitable construction area is divided into multiple sub-location spatial regions, and the positional relationship between any first target sub-location spatial region and the prohibited construction area constrained by the prohibited construction area is determined; In response to the fact that the location relationship is completely within the prohibited construction zone, the first target sub-location spatial region is removed from the target suitable construction area to obtain the second target sub-location spatial region; In response to the fact that the location relationship is not completely within the prohibited construction zone, candidate location spatial regions in the first target sub-location spatial region that are not within the prohibited construction zone are determined; From the candidate location spatial regions, a first candidate sub-region located within the safety buffer zone of the prohibited construction zone is selected; Calculate the ecological sensitivity compatibility coefficient of the first candidate sub-region relative to the ecological protection zone within the prohibited construction area, and the water pollution compatibility coefficient relative to the water protection zone within the prohibited construction area; In response to the ecological sensitivity compatibility coefficient being less than or equal to a preset sensitivity compatibility threshold, the second candidate sub-region in the candidate location spatial region is determined as the second target sub-location spatial region; In response to the water source pollution compatibility coefficient being less than or equal to a preset pollution compatibility threshold, the second candidate sub-region in the candidate location spatial region is determined as the second target sub-location spatial region; Since the location relationship is not within the prohibited construction zone or the safety buffer zone, the first target sub-location spatial region is initially determined as the second target sub-location spatial region; combined with the suitable construction zone constraint, the second target sub-location spatial region is further filtered to finally obtain the target location spatial region.

5. The substation site selection geographic information identification method as described in claim 4, characterized in that: The second target sub-location spatial region is further filtered in conjunction with the constraints of the suitable construction area to finally obtain the target location spatial region, including: The sub-location spatial regions in the second target sub-location spatial region that do not meet the constraints of the suitable construction area are removed to obtain the third target sub-location spatial region; For each first sub-region in the third target sub-location spatial region, the number of adjacent sub-regions that have a spatial adjacency relationship with the corresponding first sub-region is counted, and this number is taken as the number of second regions; The first sub-region whose number of the second region is greater than or equal to a preset threshold is determined as the fourth target sub-location spatial region; wherein, the spatial adjacency relationship represents that the two sub-regions are in spatial contact with each other; For each second sub-region in the fourth target sub-location spatial region, determine the actual distance between the second sub-region and the existing transmission line, as well as the distance difference between the second sub-region and the median of the distance limit range; The second sub-region whose distance difference is less than or equal to half of the difference in the specified distance range is determined as the fifth target sub-location spatial region; Based on the stability of the terrain slope and the consistency of the construction land attributes in the constraints of the suitable construction area, the spatial region of the fifth target sub-location is filtered to obtain the target location spatial region.

6. The substation site selection geographic information identification method as described in claim 5, characterized in that: The fifth target sub-location spatial region is selected by filtering the spatial region based on the stability of the terrain slope and the consistency of the construction land attributes within the constraints of the suitable construction area, resulting in the target location spatial region, including: For each third sub-region in the fifth target sub-location spatial region, the terrain slope stability is determined based on the ratio of the slope value of the third sub-region to the critical value of the suitable construction slope, and the third sub-region with a terrain slope stability coefficient greater than or equal to the preset stability threshold is determined as the sixth target sub-location spatial region. For each fourth sub-region in the sixth target sub-location spatial region, extract the land feature type attribute sub-type of the fourth sub-region, and completely include the land feature type attribute sub-type in the fourth sub-region of the construction land attribute sub-type to determine the seventh target sub-location spatial region. For each fifth sub-region in the seventh target sub-location spatial region, calculate the spatial aggregation degree between the fifth sub-region and all sixth sub-regions; the sixth sub-region is the sub-region in the seventh target sub-location spatial region excluding the fifth sub-region; the spatial aggregation degree is the reciprocal of the sum of the spatial distances between the fifth sub-region and all sixth sub-regions; The fifth sub-region with the highest spatial aggregation degree is determined as the target location spatial region.

7. The substation site selection geographic information identification method as described in claim 6, characterized in that: The substation site selection constraints include restrictions on prohibited construction areas and restrictions on suitable construction areas; The specific steps for determining restrictions on no-construction zones include: Based on the characteristics of the ecological protection area, feature analysis is performed to determine the boundary of the ecological protection area, and the site selection point located within the boundary of the ecological protection area is used as a quantitative constraint for the first prohibited construction zone. Based on the characteristics of the land cover types, feature analysis is performed to determine the boundary of the water protection zone, and the site selection point located within the boundary of the water protection zone is used as a quantitative constraint for the second prohibited construction zone. Based on the distance characteristics of the existing power facilities, feature analysis is performed to determine the buffer zone of the existing substation, and the location of the site selection point within the buffer zone is used as a quantitative constraint for the third prohibited construction zone. The first prohibited construction zone quantitative constraint, the second prohibited construction zone quantitative constraint, and the third prohibited construction zone quantitative constraint are merged to obtain the prohibited construction zone constraint; The specific steps for determining suitable construction zone constraints include: Based on the terrain slope characteristics, feature analysis is performed to determine the critical value of suitable construction slope and the critical level of suitable construction terrain. The slope value of the selected site is less than or equal to the critical value of suitable construction slope, and the terrain level of the selected site is greater than or equal to the critical level of suitable construction terrain, which is used as the quantitative constraint of the first suitable construction area. Based on the characteristics of the land features, feature analysis is performed to determine the construction land attributes, and the site selection point belonging to the construction land attributes is used as a quantitative constraint for the second suitable construction area. Based on the distance characteristics of the existing power facilities, feature analysis is performed to determine the distance limit range of the existing transmission lines, and the location of the site selection point within the distance limit range is used as a quantitative constraint for the third suitable construction area. The first suitable construction area quantitative constraint, the second suitable construction area quantitative constraint, and the third suitable construction area quantitative constraint are merged to obtain the suitable construction area constraint.

8. A substation site selection geographic information identification system, using the method described in any one of claims 1-7, characterized in that, include: The feature constraint module is used to acquire the first and second geographic data of the substation planning area, extract geographic features from the first geographic data to obtain geographic information features, and quantify the site selection constraints based on the geographic information features to obtain the substation site selection constraints. The semantic segmentation prediction module is used to input the second geographic data into the pre-trained semantic segmentation model, and use the pre-trained semantic segmentation model to identify and classify the surface features contained in the second geographic data to obtain the target suitable construction area. The area filtering module is used to use the substation site selection constraints as filtering rules to filter the target suitable construction area and obtain the target location spatial area. The substation site selection module is used to match and filter power shortage areas obtained based on spatial source load calculations within the target location spatial area to obtain the final substation site selection point.

9. An electronic device, characterized in that, include: Memory, used to store programs; A processor for loading the program to perform the steps of the method as claimed in any one of claims 1-7.

10. A computer-readable storage medium storing a program, characterized in that, When the program is executed by a processor, it implements the steps of the method as described in any one of claims 1-7.

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