Method for determining hidden danger points in transmission corridors based on laser point cloud and GIM 3D model

Abstract

The present invention relates to a method for determining potential danger points in a power transmission corridor based on laser point clouds and GIM three-dimensional models. The method comprises: obtaining laser point cloud LAS data of the power transmission corridor and GIM three-dimensional model data of the power transmission line on the same line as the power transmission corridor; converting the laser point cloud LAS data of the power transmission corridor into monomer objects according to the entity object type of the power transmission corridor to obtain point cloud monomer LAS data of different entity objects; performing lightweight processing on the point cloud monomer LAS data and the GIM three-dimensional model data of the power transmission line to obtain lightweight point cloud monomer data and power transmission line three-dimensional model data; determining potential danger points based on the coordinate fitting relationship between the point cloud monomer data and the power transmission line three-dimensional model data; constructing operation and maintenance ledger data of the power transmission line three-dimensional model based on the determined potential danger points and the constructed association relationship, and loading the data into the constructed power transmission digital twin platform for visualization. The present invention can improve the efficiency of identifying potential danger points in power transmission corridors.

Description

Technical Field

[0001] The present invention relates to the field of power monitoring technology, and in particular to a method for determining potential danger points in a power transmission corridor based on laser point cloud and GIM three-dimensional model. Background Art

[0002] During the acceptance and inspection of transmission lines, some regions fully utilize the high-precision, high-density, and true 3D technology of laser point clouds, using airborne LiDAR to identify potential hazards within transmission corridors. Transmission corridors are generally primarily vulnerable to tree obstructions, particularly in areas with rapid tree growth. This is followed by various other hazards, such as contaminated insulator strings, rusted anti-vibration hammers, foreign objects in ground conductors, construction damage, and tower base intrusion. However, solely using laser point clouds to identify potential hazards within transmission corridors is inefficient. Furthermore, the results are often presented in electronic documents, which hinders the establishment of maintenance records and fails to provide maintenance personnel with a visual representation of areas requiring urgent attention, as in 3D simulation scenarios. Summary of the Invention

[0003] The technical problem to be solved by the embodiments of the present invention is to provide a method for determining potential danger points in transmission corridors based on laser point clouds and GIM three-dimensional models, which can improve the efficiency of identifying potential danger points in transmission corridors and facilitate the intuitive presentation of locations that require emergency treatment to operation and maintenance personnel.

[0004] To solve the above technical problems, an embodiment of the present invention provides a method for determining potential danger points in a transmission corridor based on a laser point cloud and a GIM three-dimensional model. The method comprises the following steps:

[0005] S11 obtains the transmission corridor laser point cloud LAS data and the transmission line GIM three-dimensional model data of the transmission line with the transmission corridor;

[0006] S12. Objectify the transmission corridor laser point cloud LAS data into monomers based on the entity types of the transmission corridor, obtaining point cloud monomer LAS data for different entity objects. The entity objects are divided into main line point cloud monomers and transmission corridor environment point cloud monomers. The main line point cloud monomers include main line towers, tower bases, single-stage single-phase ground wires, single-stage single-phase insulator strings, and single-stage single-phase vibration dampers. The transmission corridor environment point cloud monomers include at least single trees, building monomers, and construction machinery.

[0007] S13. Lightweight processing is performed on the point cloud monomer LAS data and the transmission line GIM three-dimensional model data, converting it into a tiled data set having a hierarchical data structure to obtain lightweight point cloud monomer data of different entity objects and transmission line three-dimensional model data;

[0008] S14. Based on the coordinate fitting relationship between the point cloud monomer data and the three-dimensional model data of the transmission line, automatically associate the main line point cloud monomer with the corresponding three-dimensional models of the tower, tower base, single-stage single-phase ground conductor, single-stage single-phase insulator string, and single-stage single-phase anti-vibration hammer in the three-dimensional transmission line model data. Use the existing equipment inventory data of the three-dimensional model to provide the main line point cloud monomer with feature data that can serve as a marker for potential danger points, thereby identifying existing potential danger points. Furthermore, determine the spatial relationship between the three-dimensional transmission line model data and the transmission corridor environment point cloud monomer using a point cloud analysis algorithm to identify existing potential danger points.

[0009] S15. Construct operation and maintenance ledger data for the three-dimensional model of the transmission line based on the determined potential danger points and the association relationship established in step S14, and load the locations of the potential danger points, the three-dimensional model data of the transmission line, and the operation and maintenance ledger data into the established transmission digital twin platform for visualization.

[0010] Furthermore, the step S12 specifically includes:

[0011] According to the entity object type of the transmission corridor, point cloud classification is performed on the laser point cloud LAS data of the transmission corridor;

[0012] Using the point cloud visualization segmentation tool, the classified transmission corridor laser point cloud LAS data is segmented according to the outer contour boundary features of different entity objects to obtain point cloud monomer objects of different entity objects;

[0013] The point cloud monomer objects are saved in independent LAS files to obtain point cloud monomer LAS data of different entity objects.

[0014] Furthermore, the entity object types of the transmission corridor include vegetation, buildings, construction external facilities, poles and towers, tower bases, ground wires, insulator strings, and anti-vibration hammers.

[0015] Furthermore, the feature data includes at least the model ID, device number, and device model of the three-dimensional model.

[0016] Furthermore, the step S14 further includes:

[0017] Based on the coordinate fitting relationship between the point cloud monomer data of the single tree and the various transmission line conductors corresponding to the three-dimensional model data of the transmission line, the spatial relationship between the various transmission line conductors corresponding to the three-dimensional model data of the transmission line and the single tree is determined through the ray method and the Euclidean distance calculation formula, and a tree barrier hazard analysis is performed on the various transmission line conductors corresponding to the three-dimensional model data of the transmission line in the transmission corridor to obtain tree barrier hazard points.

[0018] Furthermore, the step S14 further includes:

[0019] Based on the coordinate fitting relationship between the point cloud monomer data of the building unit and / or the construction machinery and the various transmission line conductors corresponding to the three-dimensional model data of the transmission line, the spatial relationship between the various transmission line conductors corresponding to the three-dimensional model data of the transmission line and the building unit and / or the construction machinery is determined through the GIS spatial analysis algorithm, and the transmission corridor external force damage hidden danger analysis is performed on the various transmission line conductors corresponding to the three-dimensional model data of the transmission line, and corresponding building hidden danger points and / or construction external damage hidden danger points are obtained.

[0020] Furthermore, the step S14 further includes:

[0021] Based on the coordinate fitting relationship between the point cloud monomer data of the pole tower and the tower base and the corresponding pole tower in the three-dimensional model data of the transmission line, the kmeans clustering algorithm is used on the point cloud monomer data of the pole tower, the point cloud monomer data of the tower base are extracted and aligned with the pole tower center coordinates of the three-dimensional model data of the transmission line, the point cloud monomer data of the pole tower and the three-dimensional model of the corresponding pole tower in the three-dimensional model data of the transmission line are automatically associated, and the existing equipment inventory data of the three-dimensional model of the pole tower are used to provide the pole tower and the tower base with feature data that can be used as a hidden danger point mark, so as to determine the hidden danger point of the tower base.

[0022] Furthermore, the step S14 further includes:

[0023] Based on the coordinate fitting relationship between the point cloud monomer data of the single-stage single-phase ground wire, single-stage single-phase insulator string and / or single-stage single-phase anti-vibration hammer and the corresponding single-stage single-phase ground wire, single-stage single-phase insulator string and / or single-stage single-phase anti-vibration hammer on the transmission line in the three-dimensional model data of the transmission line, the point cloud monomer data of the single-stage single-phase ground wire, single-stage single-phase insulator string and / or single-stage single-phase anti-vibration hammer are automatically associated with the corresponding three-dimensional models of the single-stage single-phase ground wire, single-stage single-phase insulator string and / or single-stage single-phase anti-vibration hammer in the three-dimensional model data of the transmission line. The point cloud monomer data and the three-dimensional model data of the transmission line are fused and displayed as point cloud layers and model layers on the constructed transmission digital twin platform, and the ground wire hidden danger points, insulator string hidden danger points and / or anti-vibration hammer hidden danger points are identified and extracted from the point cloud layers and the model layers.

[0024] The implementation of the embodiments of the present invention has the following beneficial effects: the embodiments of the present invention associate the laser point cloud (LAS) data of the transmission corridor with the GIM three-dimensional model data of the transmission line to determine the potential danger points on the transmission line, which can quickly improve the efficiency of identifying potential danger points in long-distance transmission line corridors. In addition, the embodiments of the present invention coordinate-match the determined potential danger points with the relevant equipment on the transmission line corresponding to the three-dimensional model data of the transmission line, record and store them in the transmission digital twin platform, and establish a digital historical archive, providing a key point for potential danger investigation for operation and maintenance inspections, so as to facilitate the intuitive presentation of areas requiring emergency treatment to operation and maintenance personnel. In addition, the embodiments of the present invention combine mature point cloud classification technology, point cloud monomer segmentation technology, and GIS spatial analysis technology to obtain situation information of the transmission line and surrounding features. According to the operation and maintenance business needs, various potential danger points can be extracted, including tree barrier potential danger points, building potential danger points, construction external damage potential danger points, tower base potential danger points, ground wire potential danger points, insulator string potential danger points, anti-vibration hammer potential danger points, etc., thereby reducing the workload of long-distance transmission line inspections and providing basic data for subsequent intelligent automatic inspections around potential danger points. BRIEF DESCRIPTION OF THE DRAWINGS

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

[0026] Figure 1 This is a flow chart of a method for determining potential danger points in a transmission corridor based on laser point cloud and GIM three-dimensional model according to an embodiment of the present invention. DETAILED DESCRIPTION

[0027] The following descriptions of the embodiments refer to the accompanying drawings to illustrate specific embodiments in which the present invention may be implemented.

[0028] like Figure 1 As shown, an embodiment of the present invention provides a method for determining potential danger points in a transmission corridor based on a laser point cloud and a GIM (Grid Information Model) three-dimensional model. The method includes the following steps:

[0029] S11. Obtaining laser point cloud (LAS) data of a transmission corridor and GIM three-dimensional model data of a transmission line on the same line as the transmission corridor.

[0030] S12. Objectify the transmission corridor laser point cloud LAS data into monomers based on the entity object type of the transmission corridor to obtain point cloud monomer LAS data of different entity objects, wherein the entity objects are divided into main line point cloud monomers and transmission corridor environment point cloud monomers. The main line point cloud monomers include the main line tower, tower base, single-stage single-phase ground wire, single-stage single-phase insulator string, and single-stage single-phase anti-vibration hammer. The transmission corridor environment point cloud monomers include at least single wood, building monomers, and construction machinery.

[0031] Specifically, step S12 may include:

[0032] S121. Classify the laser point cloud LAS data of the transmission corridor according to the entity object type of the transmission corridor.

[0033] The entity object types of the transmission corridor may include vegetation, buildings, construction external damage facilities, poles and towers, tower bases, ground wires, insulator strings, and anti-vibration hammers, but are not limited thereto. When performing point cloud classification on the laser point cloud LAS data of the transmission corridor, a nearby point classification algorithm may be used to obtain vegetation point clouds, a building classification algorithm may be used to obtain building point clouds, a centerline classification algorithm may be used to obtain pole and tower point clouds and ground wire point clouds, a ground wire suspension point classification algorithm may be used to obtain insulator string point clouds and anti-vibration hammer point clouds, and a manual classification method may be used to obtain construction external damage facilities entity objects and tower base protection area entity objects. The above classification methods are already well known to those skilled in the art, so they will not be described in detail here.

[0034] S122. Use the point cloud visualization segmentation tool to segment the classified transmission corridor laser point cloud LAS data according to the outer contour boundary features of different entity objects to obtain point cloud monomer objects of different entity objects.

[0035] Among them, the entity objects can be divided into main line point cloud monomers and transmission corridor environment point cloud monomers. Among them, the main line point cloud monomers include the main line towers, tower bases, single-speed single-phase ground wires, single-speed single-phase insulator strings, single-speed single-phase anti-vibration hammers, etc., and the transmission corridor environment point cloud monomers include at least single wood, building monomers, and construction machinery.

[0036] S123. Saving the point cloud entity object into an independent LAS file to obtain point cloud entity LAS data of different entity objects.

[0037] After obtaining the point cloud LAS data of the above-mentioned different physical objects, the method of the embodiment of the present invention further performs the following steps:

[0038] S13. Lightweight processing is performed on the point cloud monomer LAS data and the transmission line GIM 3D model data, converting them into tiled datasets with a hierarchical data structure to obtain lightweight point cloud monomer data of different entity objects and transmission line 3D model data.

[0039] Specifically, the lightweight processing of the point cloud monomer LAS data may include: segmenting the point cloud monomer LAS data using a non-uniform octree algorithm, expanding the quadtree by dividing the entire data block into eight sub-blocks using three orthogonal segmentation planes, and adopting irregular segmentation, tight bounding volume, overlapping segmentation and other segmentation strategies by configuring the segmentation parameters.

[0040] The lightweight processing of the transmission line GIM three-dimensional model data may include: segmenting the transmission line GIM three-dimensional model using a non-uniform quadtree algorithm, adopting irregular segmentation, tight enclosing volume, overlapping segmentation and other segmentation strategies by configuring the segmentation parameters, and realizing non-uniform and overlapping segmentation of the strip-shaped three-dimensional model into any number of blocks through a grid segmentation algorithm.

[0041] The above-mentioned lightweight processing method is well known to those skilled in the art and will not be described in detail here.

[0042] S14. Based on the coordinate fitting relationship between the point cloud monomer data and the transmission line three-dimensional model data, automatically associate the main line point cloud monomer with the corresponding three-dimensional models of the tower, tower base, single-stage single-phase ground wire, single-stage single-phase insulator string, and single-stage single-phase anti-vibration hammer in the transmission line three-dimensional model data, and provide the main line point cloud monomer with feature data that can be used as a hidden danger point marker through the existing equipment ledger data of the three-dimensional model to determine the existing hidden danger points; and determine the spatial relationship between the transmission line three-dimensional model data and the transmission corridor environment point cloud monomer through a point cloud analysis algorithm to determine the existing hidden danger points.

[0043] In step S14, different potential danger points are determined according to different physical objects.

[0044] For main line point cloud entities, including the main line towers, tower bases, single-stage single-phase ground conductors, single-stage single-phase insulator strings, and single-stage single-phase anti-vibration hammers, the main line point cloud entities are automatically associated with the 3D models of the corresponding equipment in the transmission line 3D model data, including the 3D models of the towers, tower bases, single-stage single-phase ground conductors, single-stage single-phase insulator strings, and single-stage single-phase anti-vibration hammers. The existing equipment ledger data in the 3D models is used to provide feature data that can serve as a potential risk marker for the corresponding main line point cloud entities, thereby identifying existing potential risk points. The feature data includes at least the model ID, equipment number, and equipment model of the 3D model. The potential risk points that can be identified may include potential risk points at the tower base, ground conductor, insulator string, and anti-vibration hammer.

[0045] For point cloud entities in the transmission corridor environment, including individual trees, buildings, and construction machinery, a point cloud analysis algorithm is used to determine the spatial relationship between the three-dimensional transmission line model data and the point cloud entities in the transmission corridor environment to identify potential hazards. The point cloud analysis algorithm may include, but is not limited to, raycasting, Euclidean distance calculation formulas, GIS spatial analysis algorithms, and other methods. The identified potential hazards may include tree obstruction hazards, building hazards, and construction damage hazards.

[0046] Specifically, when the physical object is a single tree, step S14 may further include:

[0047] Based on the coordinate fitting relationship between the point cloud monomer data of the single tree and the various transmission line conductors corresponding to the three-dimensional model data of the transmission line, the spatial relationship between the various transmission line conductors corresponding to the three-dimensional model data of the transmission line and the single tree is determined through the ray method and the Euclidean distance calculation formula, and a tree barrier hazard analysis is performed on the various transmission line conductors corresponding to the three-dimensional model data of the transmission line in the transmission corridor to obtain tree barrier hazard points.

[0048] Specifically, when the point cloud monomer data is single tree point cloud monomer data, the transmission corridor tree barrier hazard analysis is performed on each level of the transmission line conductor corresponding to the three-dimensional model data of the transmission line through the ray method and the Euclidean distance calculation formula, that is, the distance between the point set on each level of the transmission line conductor and the vertex of the single tree is calculated, and the single tree whose distance from the line tree in the level does not meet the safety distance required by the corresponding voltage level is regarded as the tree barrier hazard point, and the position of the tree barrier hazard point is obtained.

[0049] When the entity object is a building unit and / or a construction machine, step S14 may further include:

[0050] Based on the coordinate fitting relationship between the point cloud monomer data of the building unit and / or the construction machinery and the various transmission line conductors corresponding to the three-dimensional model data of the transmission line, the spatial relationship between the various transmission line conductors corresponding to the three-dimensional model data of the transmission line and the building unit and / or the construction machinery is determined through the GIS spatial analysis algorithm, and the transmission corridor external force damage hidden danger analysis is performed on the various transmission line conductors corresponding to the three-dimensional model data of the transmission line, and corresponding building hidden danger points and / or construction external damage hidden danger points are obtained.

[0051] Specifically, when the point cloud monomer data is point cloud monomer data of a building unit and / or construction machinery, an external force damage hazard analysis of the transmission corridor is performed on each level of the transmission line conductor corresponding to the three-dimensional model data of the transmission line, that is, the linear center line in the three-dimensional model data of the transmission line is extracted, and a buffer zone is established with the linear center line as the center and a preset radius, for example, 30 meters. The building units and / or construction machinery located in the buffer zone are extracted through a GIS spatial analysis algorithm, and the points closest to their vertices and each level of the transmission line conductor are calculated respectively to determine the building hazard points and / or construction external damage hazard points, and obtain the locations of the building hazard points and / or construction external damage hazard points.

[0052] When the entity object is a single-base tower and a tower base, step S14 may further include:

[0053] Based on the coordinate fitting relationship between the point cloud monomer data of the pole tower and the tower base surface and the corresponding pole tower in the three-dimensional model data of the transmission line, the kmeans clustering algorithm is used on the point cloud monomer data of the pole tower, the point cloud monomer data of the tower base surface are extracted and aligned with the pole tower center coordinates of the three-dimensional model data of the transmission line, the point cloud monomer data of the pole tower and the three-dimensional model of the corresponding pole tower in the three-dimensional model data of the transmission line are automatically associated, and the equipment inventory data already existing in the three-dimensional model of the pole tower is provided for the pole tower and the tower base surface with feature data that can be used as a hidden danger point mark, the tower base hidden danger point is determined, and the position of the tower base hidden danger point is obtained.

[0054] Specifically, the tower base hidden danger points refer to the coordinates of the four corner points of the tower base surface. By controlling the rotation and focus of the video surveillance camera on the corresponding tower, a set of pictures of the tower base hidden danger points can be obtained, and then the tower base hidden danger points can be determined and the locations of the tower base hidden danger points can be obtained.

[0055] When the physical object is a single-stage single-phase ground wire, a single-stage single-phase insulator string, and / or a single-stage single-phase anti-vibration hammer, step S14 may further include:

[0056] Based on the coordinate fitting relationship between the point cloud monomer data of the single-stage single-phase ground wire, the single-stage single-phase insulator string and / or the single-stage single-phase anti-vibration hammer and the corresponding single-stage single-phase ground wire, the single-stage single-phase insulator string and / or the single-stage single-phase anti-vibration hammer on the transmission line in the three-dimensional model data of the transmission line, the point cloud monomer data of the single-stage single-phase ground wire, the single-stage single-phase insulator string and / or the single-stage single-phase anti-vibration hammer are automatically associated with the corresponding three-dimensional models of the single-stage single-phase ground wire, the single-stage single-phase insulator string and / or the single-stage single-phase anti-vibration hammer in the three-dimensional model data of the transmission line. The point cloud monomer data and the three-dimensional model data of the transmission line are fused and displayed in the form of a point cloud layer and a model layer on the constructed transmission digital twin platform. The ground wire hidden danger points, the insulator string hidden danger points and / or the anti-vibration hammer hidden danger points are identified and extracted from the point cloud layer and the model layer to obtain the locations of the ground wire hidden danger points, the insulator string hidden danger points and / or the anti-vibration hammer hidden danger points.

[0057] Furthermore, the identification and extraction can be performed manually.

[0058] S15. Construct operation and maintenance ledger data for the three-dimensional model of the transmission line based on the determined potential danger points and the association relationship established in step S14, and load the locations of the potential danger points, the three-dimensional model data of the transmission line, and the operation and maintenance ledger data into the established transmission digital twin platform for visualization.

[0059] Specifically, according to the determined hidden danger points and the association relationship constructed in the step S14, the hidden danger points are coordinate matched with the corresponding equipment in the three-dimensional model data of the transmission line to construct the operation and maintenance ledger data of the three-dimensional model of the transmission line. For example, it can include tree obstacle hidden danger points, building hidden danger points or construction external damage hidden danger points and the coordinate matching of the relevant conductors on the transmission line corresponding to the three-dimensional model data of the transmission line, tower base hidden danger points and the coordinate matching of the relevant pole towers on the transmission line corresponding to the three-dimensional model data of the transmission line, ground wire hidden danger points, insulator string hidden danger points, anti-vibration hammer hidden danger points and the coordinate matching of the ground wire, insulator string and anti-vibration hammer on the transmission line corresponding to the three-dimensional model data of the transmission line, etc., but is not limited to this.

[0060] Based on this, the method for determining hidden danger points in transmission corridors based on laser point clouds and GIM three-dimensional models in an embodiment of the present invention associates the laser point cloud LAS data of the transmission corridor with the GIM three-dimensional model data of the transmission line to determine the hidden danger points on the transmission line, which can quickly improve the efficiency of identifying hidden danger points in long-distance transmission line channels. In addition, the embodiment of the present invention coordinates the determined hidden danger points with the related equipment on the transmission line corresponding to the three-dimensional model data of the transmission line, records and stores them in the transmission digital twin platform, and establishes a digital historical archive, providing a hidden danger investigation work focus for operation and maintenance inspections, so as to facilitate the intuitive presentation of locations requiring emergency treatment to operation and maintenance personnel, including hidden danger points and related equipment on the transmission line. In addition, the embodiment of the present invention combines mature point cloud classification technology, point cloud monomer segmentation technology, and GIS spatial analysis technology to obtain situation information of the transmission line and surrounding features. According to the operation and maintenance business needs, various hidden danger points can be extracted, including tree barrier hidden danger points, building hidden danger points, construction external damage hidden danger points, tower base hidden danger points, ground wire hidden danger points, insulator string hidden danger points, anti-vibration hammer hidden danger points, etc. The embodiments of the present invention reduce the workload of patrol inspections on long-distance power transmission lines and provide basic data for subsequent intelligent automatic patrol inspections around potential danger points.

[0061] The above disclosure is merely a preferred embodiment of the present invention and certainly cannot be used to limit the scope of the present invention. Therefore, equivalent changes made according to the claims of the present invention are still within the scope of the present invention.

Claims

1. A method for determining potential danger points in power transmission corridors based on laser point cloud and GIM three-dimensional model, characterized in that: The method comprises the following steps: S11 obtains the transmission corridor laser point cloud LAS data and the transmission line GIM three-dimensional model data of the transmission line with the transmission corridor; S12. Objectify the transmission corridor laser point cloud LAS data into monomers based on the entity types of the transmission corridor, obtaining LAS point cloud monomer data for different entity objects. The entity objects are divided into main line point cloud monomers and transmission corridor environment point cloud monomers. The main line point cloud monomers include main line towers, tower bases, single-stage single-phase ground wires, single-stage single-phase insulator strings, and single-stage single-phase vibration dampers. The transmission corridor environment point cloud monomers include single trees, building monomers, and construction machinery. S13. Lightweight processing is performed on the point cloud monomer LAS data and the transmission line GIM three-dimensional model data, converting it into a tiled data set having a hierarchical data structure to obtain lightweight point cloud monomer data of different entity objects and transmission line three-dimensional model data; S14. Based on the coordinate fitting relationship between the point cloud monomer data and the three-dimensional model data of the transmission line, automatically associate the main line point cloud monomer with the corresponding three-dimensional models of the tower, tower base, single-stage single-phase ground conductor, single-stage single-phase insulator string, and single-stage single-phase anti-vibration hammer in the three-dimensional transmission line model data. Use the existing equipment inventory data of the three-dimensional model to provide the main line point cloud monomer with feature data that can serve as a marker for potential danger points, thereby identifying existing potential danger points. Furthermore, determine the spatial relationship between the three-dimensional transmission line model data and the transmission corridor environment point cloud monomer using a point cloud analysis algorithm to identify existing potential danger points. S15. Construct operation and maintenance ledger data for the three-dimensional model of the transmission line based on the determined potential danger points and the association relationship established in step S14, and load the locations of the potential danger points, the three-dimensional model data of the transmission line, and the operation and maintenance ledger data into the established transmission digital twin platform for visualization.

2. The method according to claim 1, characterized in that The step S12 specifically includes: According to the entity object type of the transmission corridor, point cloud classification is performed on the laser point cloud LAS data of the transmission corridor; Using the point cloud visualization segmentation tool, the classified transmission corridor laser point cloud LAS data is segmented according to the outer contour boundary features of different entity objects to obtain point cloud monomer objects of different entity objects; The point cloud monomer objects are saved in independent LAS files to obtain point cloud monomer LAS data of different entity objects.

3. The method according to claim 2, characterized in that The entity object types of the transmission corridor include vegetation, buildings, construction external facilities, poles and towers, tower bases, ground wires, insulator strings, and anti-vibration hammers.

4. The method according to claim 1, wherein The feature data at least includes the model ID, device number, and device model of the three-dimensional model.

5. The method according to claim 1 or 2, characterized in that The step S14 further comprises: Based on the coordinate fitting relationship between the point cloud monomer data of the single tree and the various transmission line conductors corresponding to the three-dimensional model data of the transmission line, the spatial relationship between the various transmission line conductors corresponding to the three-dimensional model data of the transmission line and the single tree is determined through the ray method and the Euclidean distance calculation formula, and a tree barrier hazard analysis is performed on the various transmission line conductors corresponding to the three-dimensional model data of the transmission line in the transmission corridor to obtain tree barrier hazard points.

6. The method according to claim 1 or 2, characterized in that The step S14 further comprises: Based on the coordinate fitting relationship between the point cloud monomer data of the building unit and / or the construction machinery and the various transmission line conductors corresponding to the three-dimensional model data of the transmission line, the spatial relationship between the various transmission line conductors corresponding to the three-dimensional model data of the transmission line and the building unit and / or the construction machinery is determined through the GIS spatial analysis algorithm, and the transmission corridor external force damage hidden danger analysis is performed on the various transmission line conductors corresponding to the three-dimensional model data of the transmission line, and corresponding building hidden danger points and / or construction external damage hidden danger points are obtained.

7. The method according to claim 1 or 2, characterized in that The step S14 further comprises: Based on the coordinate fitting relationship between the point cloud monomer data of the pole tower and the tower base and the corresponding pole tower in the three-dimensional model data of the transmission line, the kmeans clustering algorithm is used on the point cloud monomer data of the pole tower, the point cloud monomer data of the tower base are extracted and aligned with the pole tower center coordinates of the three-dimensional model data of the transmission line, the point cloud monomer data of the pole tower and the three-dimensional model of the corresponding pole tower in the three-dimensional model data of the transmission line are automatically associated, and the existing equipment inventory data of the three-dimensional model of the pole tower are used to provide the pole tower and the tower base with feature data that can be used as a hidden danger point mark, so as to determine the hidden danger point of the tower base.

8. The method according to claim 1 or 2, characterized in that The step S14 further comprises: Based on the coordinate fitting relationship between the point cloud monomer data of the single-stage single-phase ground wire, single-stage single-phase insulator string and / or single-stage single-phase anti-vibration hammer and the corresponding single-stage single-phase ground wire, single-stage single-phase insulator string and / or single-stage single-phase anti-vibration hammer on the transmission line in the three-dimensional model data of the transmission line, the point cloud monomer data of the single-stage single-phase ground wire, single-stage single-phase insulator string and / or single-stage single-phase anti-vibration hammer are automatically associated with the corresponding three-dimensional models of the single-stage single-phase ground wire, single-stage single-phase insulator string and / or single-stage single-phase anti-vibration hammer in the three-dimensional model data of the transmission line. The point cloud monomer data and the three-dimensional model data of the transmission line are fused and displayed as point cloud layers and model layers on the constructed transmission digital twin platform, and the ground wire hidden danger points, insulator string hidden danger points and / or anti-vibration hammer hidden danger points are identified and extracted from the point cloud layers and the model layers.

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