A ground elevation point updating method, system, device and storage medium

Abstract

This application discloses a method, system, equipment, and storage medium for updating ground elevation points, relating to the field of basic geographic entity classification and updating. The method includes: preparing the updated results of basic geographic entities corresponding to the work area, baseline elevation point data, point cloud, or digital elevation model; determining the elevation point extraction interval and extracting triangular elevation point data; classifying and screening basic geographic entities such as buildings / structures, water conservancy facilities, and transportation, extracting various feature features, and generating special area surfaces and exclusion area surfaces; extracting feature elevation point locations of different priorities based on various feature features according to preset priorities and extraction rules; purifying the feature elevation point locations, baseline elevation point data, and triangular elevation point data respectively, extracting elevation points within special area surfaces, and deleting elevation points within exclusion area surfaces; merging the processed elevation points and trimming them according to the work area, processing the trimmed elevation points, and forming the elevation point update results.

Description

Technical Field

[0001] This application relates to the field of basic geographic entity classification and updating technology, and in particular to a ground elevation point updating method, system, device and storage medium. Background Technology

[0002] New-type basic surveying and mapping takes geographic entities as its core perspective and research object, and carries out surveying and mapping work according to entity granularity and spatial accuracy. Its core objective is to build a basic geographic entity database and assemble 4E standardized products as needed (including combined aggregated entity sets, stepless map representation, terrain-level real-scene 3D, and city-level real-scene 3D). It belongs to basic and public-interest surveying and mapping activities. Among them, geographic entities refer to natural features, artificial facilities, and geographic units that occupy a certain continuous spatial location in the real world and have unified attributes or complete functions. Basic geographic entities, as an important part of geographic entities, are the core geographic objects for constructing a unified spatial positioning framework and carrying out spatial analysis.

[0003] In basic geographic entities, ground elevation points are key elements reflecting landform features, directly affecting the accuracy and reliability of various tasks such as topographic map production, topographic analysis, and engineering surveying, and playing an irreplaceable role. In traditional techniques, elevation point extraction is mainly completed within mapping software, using point clouds, digital elevation models (DEMs), and oblique 3D models as basic data, and is collected manually through point selection, line selection, and area selection.

[0004] However, the aforementioned traditional technical methods have significant shortcomings, severely restricting the production efficiency and application effectiveness of basic geographic data: First, the manual selection of points, lines, and areas is extremely labor-intensive and time-consuming, resulting in low efficiency in elevation point collection; Second, the selection of characteristic elevation points depends on the experience and professional skills of the operators, requiring a large investment of manpower, resources, and time, and the selection accuracy is difficult to guarantee consistency; Third, the rationality adjustment of the distribution of elevation points still needs to be completed manually one by one, further increasing the workload, and data quality is easily affected by human error. Summary of the Invention

[0005] This application provides a ground elevation point update method, system, device, and storage medium to solve the technical problems of low efficiency and insufficient rationality in existing elevation point update strategies.

[0006] On the one hand, this application provides a method for updating ground elevation points, the method comprising the following steps: Step S1: Prepare the update results of basic geographic entities, baseline elevation point data, point cloud or digital elevation model corresponding to the work area, determine the elevation point extraction interval and extract the triangular elevation point data; Step S2: Classify and filter basic geographic entities such as buildings, water conservancy facilities, and transportation, extract various feature features, and generate special area surfaces and exclusion area surfaces; Step S3: Based on various feature features, extract feature elevation point locations of different priorities according to preset priorities and extraction rules; Step S4: Perform purification processing on feature elevation point locations, baseline elevation point data, and triangular elevation point data respectively, extract elevation points within special area surfaces, and delete elevation points within exclusion area surfaces; Step S5: Merge various elevation points processed in Step S4 and trim them according to the work area, extract, process and assign attribute values ​​to the trimmed elevation points to form elevation point update results.

[0007] In one implementation of this application, step S2 involves extracting building (structure) features by: selecting watchtowers, water towers, water tower chimneys, chimneys, wind power towers, other tower-shaped buildings, television transmission towers, mobile communication towers, microwave towers, and heat dissipation towers as building (structure) features, and setting their elevation point extraction priority to 1.

[0008] In one implementation of this application, step S2 involves extracting water conservancy facilities and transportation features as follows: selecting the directional lines of spillways and dams as water conservancy features A with a priority of 2; selecting the center lines of main dikes and general dikes as water conservancy features B with a priority of 3; selecting the center lines of bridges as transportation features A with a priority of 2; and selecting the center lines of roads as transportation features B with a priority of 4.

[0009] In one implementation of this application, the specific method for generating special area surfaces and eliminating area surfaces in step S2 is as follows: linear elements such as bridge centerlines, directional lines of dams, centerlines of water conveyance tunnels, centerlines of inverted siphons, and centerlines of culverts are selected and buffer surfaces are generated at 3.5 meters. After fusing the corresponding area elements, special area surfaces are obtained. Area surfaces such as buildings and ancillary facilities, sea areas, street surfaces, water conservancy, water systems, and roads in buildings that are not suitable for setting elevation points are selected. After excluding special exemption categories, they are fused to form eliminated area surfaces.

[0010] In one implementation of this application, the specific operations for the hierarchical automatic extraction of feature elevation points in step S3 include: generating a buffer surface based on building (structure) feature features and extracting inflection points as building feature points; extracting the center point of water conservancy feature A and generating points along the centerline of water conservancy feature B according to the extraction interval, as corresponding water conservancy feature points; extracting the center point of traffic feature A, the intersection point of the road centerline, and generating points along the road centerline according to the extraction interval, as corresponding traffic feature points.

[0011] In one implementation of this application, the purification process for feature elevation points in step S4 is as follows: buffer surfaces are generated for feature points of different priorities at 0.3 times the extraction interval and then merged; the surfaces are converted into points to obtain purified feature points at each level; buffer surfaces for high-priority purified feature points are generated from high to low at 0.4 times the extraction interval, low-priority purified feature points falling into them are deleted, and the overall purified feature points are obtained after merging.

[0012] In one implementation of this application, the purification process for the baseline elevation point data and the triangular elevation point data in step S4 is as follows: a buffer surface is generated and merged for the baseline elevation points at 0.4 times the extraction interval, and the surface is converted into points to obtain purified baseline elevation points. Then, a buffer surface is generated based on the overall purified feature points at 0.5 times the extraction interval, and the purified baseline elevation points falling into it are deleted. A buffer surface is generated based on the overall purified feature points and the deduplicated purified baseline elevation points at 0.5 times the extraction interval, and the triangular elevation points falling into it are deleted to obtain purified triangular elevation points.

[0013] Secondly, this application provides a ground elevation point update system, which includes: a data preparation module for preparing basic data corresponding to the work area, determining the elevation point extraction interval, and extracting triangular elevation point data; a classification and grading processing module for classifying and filtering basic geographic entities, extracting various feature features, and generating special area surfaces and exclusion area surfaces; a feature point extraction module for automatically extracting feature elevation point locations of different priorities based on various feature features according to preset priorities and extraction rules; a point optimization module for purifying feature elevation point locations, baseline elevation point data, and triangular elevation point data, extracting elevation points within special area surfaces, and deleting elevation points within exclusion area surfaces; and a fusion processing module for merging various optimized elevation points and trimming them according to the work area, completing the extraction, processing, and attribute assignment of elevation points, and outputting the elevation point update results.

[0014] Furthermore, this application provides a ground elevation point update device, the device comprising: at least one processor; and a memory communicatively connected to the at least one processor; wherein the memory stores instructions executable by the at least one processor, the instructions being executed by the at least one processor to enable the at least one processor to perform the aforementioned ground elevation point update method.

[0015] Finally, this application provides a non-volatile computer storage medium for updating ground elevation points, storing computer-executable instructions, which are executed by a processor to implement the aforementioned ground elevation point updating method.

[0016] The ground elevation point updating method, system, device, and storage medium provided in this application have the following beneficial effects: 1. Significantly reduce labor costs: By automating extraction, deduplication, and fusion processes, it replaces traditional manual point selection, line selection, and area selection operations, reducing manual intervention by more than 80% and solving the pain point of high manpower and material consumption in traditional methods.

[0017] 2. Improve data production efficiency: Full-process automated processing shortens the elevation point update cycle, reducing the processing time of a single task from several days to several hours, meeting the needs of rapid updates of large-scale basic geographic entity data.

[0018] 3. Optimize the rationality of point distribution: Based on classification and grading rules and buffer deduplication and regional screening mechanisms, avoid point duplication and redundancy, and ensure that elevation points are accurately distributed in key geomorphic locations without the need for extensive subsequent manual adjustments.

[0019] 4. Adapt to multiple application scenarios: It is compatible with city-level and terrain-level basic geographic entity data updates, and adapts to multi-scale topographic map production updates, improving the application adaptability and reliability of elevation data.

[0020] 5. Standardized and reusable operation: By using fixed entity classification code (CLASID) filtering rules and buffer distance parameters, a standardized processing flow is formed, which can be directly reused for elevation point update tasks in different regions and at different scales, reducing the technical implementation threshold. Attached Figure Description

[0021] The accompanying drawings, which are included to provide a further understanding of this application and form part of this application, illustrate exemplary embodiments and are used to explain this application, but do not constitute an undue limitation of this application. In the drawings: Figure 1 A flowchart of a ground elevation point update method provided in this application embodiment; Figure 2A flowchart of geographic entity classification and feature point extraction provided for embodiments of this application; Figure 3 A flowchart for feature point layout optimization provided in the embodiments of this application; Figure 4 A flowchart for background elevation point purification and deduplication provided in the embodiments of this application; Figure 5 A flowchart of the purification process using triangular elevation points provided in this application embodiment; Figure 6 A flowchart for extracting elevation points in special areas provided in this application embodiment; Figure 7 A flowchart of the region elimination technique provided in this application embodiment; Figure 8 A flowchart of multi-source point fusion and elevation value processing provided in the embodiments of this application; Figure 9 A diagram illustrating the components of a ground elevation point updating system provided in this application embodiment; Figure 10 This is a schematic diagram of a ground elevation point updating device provided in an embodiment of this application. Detailed Implementation

[0022] To make the objectives, technical solutions, and advantages of this application clearer, the technical solutions of this application will be clearly and completely described below in conjunction with specific embodiments and corresponding drawings. Obviously, the described embodiments are only a part of the embodiments of this application, and not all of them. Based on the embodiments in this application, all other embodiments obtained by those skilled in the art without creative effort are within the scope of protection of this application.

[0023] This application provides a method, system, device, and storage medium for updating ground elevation points. The technical solutions proposed in this application will be described in detail below with reference to the accompanying drawings.

[0024] Figure 1 This is a flowchart illustrating a ground elevation point update method provided in an embodiment of this application. Figure 1 As shown, the method mainly includes the following steps: 1. Data preparation and environment configuration: Prepare the work scope and the updated results of basic geographic entities within the work scope, baseline elevation point data, point cloud or digital elevation model (DEM), and determine the elevation point extraction spacing (hereinafter referred to as extraction spacing) according to the technical specifications; based on the work scope, extract the triangular elevation point data according to the elevation point extraction spacing.

[0025] 2. Basic Geographic Entity Classification and Grading: Basic geographic entities such as buildings, transportation facilities, and water conservancy facilities are classified and filtered according to their functional attributes and entity classification codes (CLASIDs) (e.g., road lines RJTZL, water conservancy surfaces RSLFA, building points RJGFP, etc.). The priority and processing rules for extracting elevation points for different entity categories are clearly defined. The flowchart for geographic entity classification, grading, and feature point extraction is shown below. Figure 2 As shown, this is achieved through the following process: (1) Extraction of building features: Observation towers, water towers, water tower chimneys, chimneys, wind power towers (pole), other tower-shaped buildings, TV transmission towers, mobile communication towers, microwave towers, heat dissipation towers and other tall buildings are selected as building features with a priority of 1.

[0026] (2) Extraction of water conservancy facility features: Select the directional lines of spillways and dams as water conservancy feature A with a priority of 2; select the center lines of main dikes and general dikes as water conservancy feature B with a priority of 3.

[0027] (3) Traffic feature extraction: The center line of the bridge is selected and extracted as traffic feature A with a priority of 2; the center line of the road is selected and extracted as traffic feature B with a priority of 4.

[0028] (4) Extraction of special area surfaces: In order to optimize and adjust the distribution of points in the future, the center lines of bridges, directional lines of dams, center lines of water conveyance tunnels, center lines of inverted siphons and culverts are selected and extracted, and buffer surfaces are generated at 3.5 meters. The bridge surfaces, dam surfaces, water conveyance tunnel surfaces, inverted siphon surfaces and culvert surfaces are selected and extracted and merged with the generated buffer surfaces to generate special area surfaces.

[0029] (5) Area removal extraction: Screen and extract areas unsuitable for the existence of elevation points, such as the sea surface in the RJGZA layer of buildings and ancillary facilities, the RJGFA layer, the marine surface in the ZHYYA layer of ocean, the street surface in the GQTZA layer, the water system in the ZSXZA layer, the water conservancy in the RSLZA layer, and the road surface in the buildings in the RJTZA layer of transportation (except for special exemption categories such as: car ramps in front of buildings, barrier-free access, cranes, weighbridges, tailings ponds, cemeteries, flower beds, artificial green spaces, green forests, open-pit mines, construction areas, storage yards, warehouses, prefabrication yards, threshing grounds, drying yards, hay storage yards, firebreaks, parking lots, fitness areas, stadiums, cemeteries, and other hardened areas), to form areas to be removed.

[0030] 3. Automated hierarchical extraction of feature elevation points (referred to as feature points): (1) Extraction of building (structure) feature points: Based on the building (structure) feature features extracted in 2-A, a buffer surface is generated at 0.1 meters, and the midpoint of the buffer surface is extracted as the building (structure) feature point with a priority of 1.

[0031] (2) Extraction of water conservancy feature points: Based on the water conservancy feature A extracted in 2-B, extract the center point of the spillway directional line and the center line of the dam to generate water conservancy feature point A, with a priority of 2; Based on the water conservancy feature B extracted in 2-B, generate water conservancy feature point B along the center line of the main dike and the center line of the general dike according to the extraction interval, with a priority of 3.

[0032] (3) Traffic feature point extraction: Based on the traffic feature A extracted in 2-C, the center point of the bridge centerline is extracted as traffic feature point A, with a priority of 2; based on the traffic feature B extracted in 2-C, the road turning point is extracted and deduplicated, and after generating the road intersection, deduplication is performed again. The intersection of the road turning point and the road intersection is extracted as the level intersection point as traffic feature point B1, with a priority of 4. Traffic feature point B2 is generated along the road centerline according to the extraction interval, with a priority of 5.

[0033] (4) The results of feature point hierarchical extraction are shown in the table below:

[0034] 4. Handling the rationality of point distribution: (1) Feature point layout optimization: Based on the feature points extracted in step 3, self-purification is performed on feature points of levels 1-5 to remove overly dense points. The method is as follows: For feature points with priority 1, a buffer surface is generated at 0.3 times the extraction interval. The generated buffer is then merged to generate a buffer fusion surface layer. The buffer fusion surface layer is then converted from surface to point (internal geometric center point) to generate purified level 1 feature points. The same method is used to generate purified level 2, 3, 4, and 5 feature points in sequence. For purified level 1 feature points, a buffer surface is generated at 0.4 times the extraction interval. Purified level 2 feature points that fall into the buffer are deleted. After merging, purified level 1 and 2 feature points are generated to form purified level 1 and 2 feature points. For purified level 1 and 2 feature points, a buffer surface is generated at 0.4 times the extraction interval. The process involves deleting purified level 3 feature points that fall into the buffer zone, merging them, and then generating purified level 1, 2, and 3 feature points. A buffer surface is then generated from the purified level 1, 2, and 3 feature points at 0.4 times the extraction interval. Similarly, level 4 feature points that fall into the buffer zone are deleted, and the process is repeated to generate purified level 1, 2, 3, and 4 feature points. The process is repeated to generate a buffer surface from the purified level 1, 2, 3, and 4 feature points at 0.4 times the extraction interval. Finally, level 5 feature points that fall into the buffer zone are deleted, and the process is repeated to generate purified level 1, 2, 3, 4, and 5 feature points. The feature point layout optimization flowchart is shown below. Figure 3 As shown.

[0035] (2) Baseline elevation point purification: Generate a buffer for the baseline elevation points at 0.4 times the extraction interval, merge the generated buffers to generate a buffer fusion layer, convert the buffer fusion layer from surface to point, and generate purified baseline elevation points.

[0036] (3) Deduplication of background elevation points after purification: Based on the generated purification feature points, a buffer surface is generated at 0.5 times the extraction interval. The purified background elevation points falling into the purification feature point buffer surface are deleted. The flowchart of background elevation point purification and deduplication is as follows. Figure 4 As shown.

[0037] (4) Purification of triangular elevation points: Based on the purification feature points and the purified deduplication baseline elevation points, a buffer surface is generated at 0.5 times the extraction interval. Triangular elevation points falling within the buffer surface are deleted, resulting in purified triangular elevation points. The flowchart for triangular elevation point purification is as follows: Figure 5 As shown.

[0038] (5) Extraction of Elevation Points in Special Areas: Based on the special area surface generated in 2D, extract the cleaned feature points falling within the special area surface, the cleaned and deduplicated background elevation points, and the cleaned triangular elevation points to generate the elevation points of the special area. The flowchart for extracting elevation points in special areas is shown below. Figure 6 As shown.

[0039] (6) Region Removal: Based on the removal region surface generated in 2-E, delete the purification feature points, purification deduplication background elevation points, and purification triangular elevation points falling within it, and generate purification removal feature points, purification deduplication removal background elevation points, and purification removal triangular elevation points. The region removal technology flowchart is as follows: Figure 7 As shown.

[0040] 5. Multi-source point fusion and elevation value processing: The processed and purified feature points, deduplicated and purified base elevation points, purified and purified triangular elevation points, and elevation points in special areas are merged to generate fused elevation points. The fused elevation points are then trimmed from the work area data, retaining elevation points within the effective area to form updated elevation points. Elevation values ​​are extracted, processed, and attribute-assigned based on point cloud or digital elevation model (DEM) data, ultimately forming a complete elevation point update result. The flowchart for multi-source point fusion and elevation value processing is shown below. Figure 8 As shown.

[0041] The above describes a ground elevation point updating method provided by an embodiment of this application. Based on the same inventive concept, this application also provides a ground elevation point updating system. Figure 9 A diagram illustrating the composition of a ground elevation point update system provided in this application embodiment is shown below. Figure 9As shown, the system mainly includes: a data preparation module 901, used to prepare basic data corresponding to the work area, determine the elevation point extraction interval, and extract triangular elevation point data; a classification and grading processing module 902, used to classify and filter basic geographic entities, extract various feature features, and generate special area surfaces and exclusion area surfaces; a feature point extraction module 903, used to automatically extract feature elevation point locations of different priorities according to preset priorities and extraction rules based on various feature features; a point optimization module 904, used to purify feature elevation point locations, background elevation point data, and triangular elevation point data, extract elevation points within special area surfaces, and delete elevation points within exclusion area surfaces; and a fusion processing module 905, used to merge various optimized elevation points and trim them according to the work area, complete the elevation value extraction, processing, and attribute assignment of elevation points, and output the elevation point update results.

[0042] The above describes a ground elevation point updating system provided by an embodiment of this application. Based on the same inventive concept, this application also provides a ground elevation point updating device. Figure 10 A schematic diagram of a ground elevation point updating device provided in an embodiment of this application is shown below. Figure 10 As shown, the device mainly includes: at least one processor 1001; and a memory 1002 communicatively connected to the at least one processor; wherein the memory 1002 stores instructions that can be executed by the at least one processor 1001, and the instructions are executed by the at least one processor 1001 to enable the at least one processor 1001 to complete the aforementioned ground elevation point update method.

[0043] In addition, embodiments of this application also provide a non-volatile computer storage medium for updating ground elevation points, which stores computer-executable instructions that are executed by a processor to implement the aforementioned ground elevation point updating method.

[0044] This invention is described with reference to flowchart illustrations and / or block diagrams of methods, apparatus (systems), and computer program products according to embodiments of the invention. It will be understood that each block of the flowchart illustrations and / or block diagrams, and combinations of blocks in the flowchart illustrations and / or block diagrams, can be implemented by computer program instructions. These computer program instructions can be provided to a processor of a general-purpose computer, special-purpose computer, embedded processor, or other programmable data processing apparatus to produce a machine, such that the instructions, which execute via the processor of the computer or other programmable data processing apparatus, generate instructions for implementing the flowchart illustrations and / or block diagrams. Figure 1 One or more processes and / or boxes Figure 1 A device that provides the functions specified in one or more boxes.

[0045] These computer program instructions may also be stored in a computer-readable storage medium that can direct a computer or other programmable data processing device to function in a particular manner, such that the instructions stored in the computer-readable storage medium produce an article of manufacture including instruction means, which are implemented in a process Figure 1 One or more processes and / or boxes Figure 1 The function specified in one or more boxes.

[0046] These computer program instructions may also be loaded onto a computer or other programmable data processing equipment to cause a series of operational steps to be performed on the computer or other programmable equipment to produce a computer-implemented process, thereby providing instructions that execute on the computer or other programmable equipment for implementing the process. Figure 1 One or more processes and / or boxes Figure 1 The steps of the function specified in one or more boxes.

[0047] In a typical configuration, a computing device includes one or more processors (CPU), input / output interfaces, network interfaces, and memory.

[0048] The various embodiments in this application are described in a progressive manner. Similar or identical parts between embodiments can be referred to mutually. Each embodiment focuses on describing the differences from other embodiments. In particular, the device embodiments are basically similar to the method embodiments, so the description is relatively simple; relevant parts can be referred to the descriptions of the method embodiments.

[0049] It should also be noted that the terms "comprising," "including," or any other variations thereof are intended to cover non-exclusive inclusion, such that a process, method, article, or apparatus that comprises a list of elements includes not only those elements but also other elements not expressly listed, or elements inherent to such a process, method, article, or apparatus. Without further limitation, an element defined by the phrase "comprising one..." does not exclude the presence of other identical elements in the process, method, article, or apparatus that includes said element.

[0050] The above description is merely an embodiment of this application and is not intended to limit the scope of this application. Various modifications and variations can be made to this application by those skilled in the art. Any modifications, equivalent substitutions, improvements, etc., made within the spirit and principles of this application should be included within the scope of the claims of this application.

Claims

1. A method of ground elevation point updating, characterized by, The method includes the following steps: Step S1: Prepare the basic geographic entity update results, baseline elevation point data, point cloud or digital elevation model corresponding to the work area, determine the elevation point extraction spacing and extract the triangular elevation point data; Step S2: Classify and filter basic geographic entities such as buildings / structures, water conservancy facilities, and transportation, extract various feature features, and generate special area surfaces and remove area surfaces; Step S3: Based on various feature features, extract feature elevation points of different priorities according to preset priorities and extraction rules; Step S4: Clean up the feature elevation point locations, background elevation point data, and triangular elevation point data respectively, extract the elevation points within the special area surface, and delete the elevation points within the area surface. Step S5: Merge all types of elevation points processed in step S4 and trim them according to the work scope. Extract, process, and assign attribute values ​​to the trimmed elevation points to form the updated elevation point results.

2. The ground elevation point updating method according to claim 1, characterized in that, In step S2, the following features of buildings / structures are extracted: watchtowers, water towers, water tower chimneys, chimneys, wind power towers, other tower-shaped buildings, television transmission towers, mobile communication towers, microwave towers, and heat dissipation towers are selected as features of buildings / structures, and their elevation point extraction priority is set to 1.

3. The ground elevation point updating method according to claim 1, characterized in that, In step S2, the following features are extracted: the directional lines of spillways and dams are selected as water conservancy feature A with a priority of 2; the center lines of main dikes and general dikes are selected as water conservancy feature B with a priority of 3; the center lines of bridges are selected as traffic feature A with a priority of 2; and the center lines of roads are selected as traffic feature B with a priority of 4.

4. The ground elevation point updating method according to claim 1, characterized in that, The specific methods for generating special area surfaces and eliminating area surfaces in step S2 are as follows: Linear elements such as bridge centerlines, directional lines of dams, centerlines of water conveyance tunnels, centerlines of inverted siphons, and centerlines of culverts are selected and buffer surfaces are generated at preset distances. After merging the corresponding area elements, special area surfaces are obtained. Area surfaces such as buildings and ancillary facilities, sea areas, street surfaces, water conservancy, water systems, and roads in buildings that are not suitable for setting elevation points are selected. After excluding special exemption categories, they are merged to form eliminated area surfaces.

5. A ground elevation point updating method according to claim 1, characterized in that, The specific operations for the automated extraction of feature elevation points in step S3 include: generating buffer surfaces based on building / structure features and extracting vertices as building / structure feature points; extracting the center point of water conservancy feature A and generating points along the centerline of water conservancy feature B at extraction intervals as corresponding water conservancy feature points; and extracting the center point of traffic feature A, the intersection point of the road centerline, and generating points along the road centerline at extraction intervals as corresponding traffic feature points.

6. The ground elevation point updating method according to claim 1, characterized in that, In step S4, the purification process for the feature elevation points is as follows: buffer surfaces are generated and merged for feature points of different priorities according to a preset first ratio of the extraction interval, and the surfaces are converted into points to obtain purified feature points at each level; buffer surfaces for high-priority purified feature points are generated from high to low according to a preset second ratio of the extraction interval, low-priority purified feature points falling into them are deleted, and the overall purified feature points are obtained after merging.

7. The ground elevation point updating method according to claim 1, characterized in that, The purification process for the baseline elevation point data and the triangular elevation point data in step S4 is as follows: a buffer surface is generated and merged based on a preset second ratio of the extraction interval for the baseline elevation points, and the surface is converted into points to obtain purified baseline elevation points. Then, a buffer surface is generated based on the overall purified feature points according to a preset third ratio of the extraction interval, and purified baseline elevation points falling into it are deleted. A buffer surface is generated based on the overall purified feature points and the deduplicated purified baseline elevation points according to a preset third ratio of the extraction interval, and triangular elevation points falling into it are deleted to obtain purified triangular elevation points.

8. A ground elevation point updating system, characterized in that, The system includes: The data preparation module is used to prepare the basic data corresponding to the work area, determine the elevation point extraction spacing, and extract the triangular elevation point data. The classification and grading module is used to classify and filter basic geographic entities, extract various feature features, generate special area surfaces and remove area surfaces; The feature point extraction module is used to automatically extract feature elevation points of different priorities based on various feature features and according to preset priorities and extraction rules. The point optimization module is used to clean up the feature elevation point locations, baseline elevation point data, and triangular elevation point data, extract in-plane elevation points in special areas, and delete in-plane elevation points in the eliminated areas. The fusion processing module is used to merge various optimized elevation points and trim them according to the work scope, complete the extraction, processing and attribute assignment of elevation points, and output the updated elevation point results.

9. A ground elevation point updating device, characterized in that, The device includes: At least one processor; and, A memory communicatively connected to the at least one processor; wherein, The memory stores instructions that can be executed by the at least one processor, which, when executed by the at least one processor, enables the at least one processor to perform a ground elevation point update method according to any one of claims 1-7.

10. A non-volatile computer storage medium for updating ground elevation points, storing computer-executable instructions, characterized in that, The computer-executable instructions are executed by a processor to implement a ground elevation point update method according to any one of claims 1-7.

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