CN116012429A - Method for determining hidden danger points of power transmission corridor based on laser point cloud and GIM three-dimensional model - Google Patents
Method for determining hidden danger points of power transmission corridor based on laser point cloud and GIM three-dimensional model Download PDFInfo
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Abstract
The invention relates to a method for determining hidden danger points of a power transmission corridor based on a laser point cloud and a GIM three-dimensional model. The method comprises the following steps: acquiring laser point cloud LAS data of a power transmission corridor and power transmission line GIM three-dimensional model data of the same line with the power transmission corridor; the method comprises the steps of objectifying laser point cloud LAS data of a power transmission corridor according to the type of the entity object of the power transmission corridor to obtain point cloud monomer LAS data of different entity objects; performing light weight processing on the point cloud single LAS data and the transmission line GIM three-dimensional model data to obtain light weight point cloud single data and transmission line three-dimensional model data; determining hidden danger points based on the coordinate fitting relation between the point cloud monomer data and the three-dimensional model data of the power transmission line; and constructing operation and maintenance account data of the three-dimensional model of the power transmission line according to the determined hidden danger points and the constructed association relation, and loading the operation and maintenance account data to the constructed power transmission digital twin platform for visualization. The method and the device can improve the identification efficiency of hidden danger points of the power transmission corridor.
Description
Technical Field
The invention relates to the technical field of power monitoring, in particular to a method for determining hidden danger points of a power transmission corridor based on a laser point cloud and a GIM three-dimensional model.
Background
In the inspection and inspection process of the power transmission line, the technical advantages of high precision, high density and true three dimensions of laser point clouds are fully utilized in part of areas, and hidden trouble points in a power transmission corridor are inspected by using an airborne laser radar. The hidden trouble points of the operation and maintenance tree barriers are mainly used in the power transmission corridor, particularly in areas where the trees grow faster, and the hidden trouble points of insulator chain fouling, damper rust damage, ground wire foreign matters, construction external broken, tower foundation invasion and the like are secondary. However, the hidden trouble points in the power transmission corridor are simply checked by using the laser point cloud, the recognition efficiency of the hidden trouble points in the power transmission corridor is low, and the checking result is often presented in the form of an electronic document, so that the establishment of an operation and maintenance file is not facilitated, and places needing emergency treatment cannot be intuitively presented to operation and maintenance personnel like a three-dimensional simulation scene.
Disclosure of Invention
The technical problem to be solved by the embodiment of the invention is to provide the method for determining the hidden danger point of the power transmission corridor based on the laser point cloud and the GIM three-dimensional model, which can improve the identification efficiency of the hidden danger point of the power transmission corridor and is beneficial to visually showing the position needing emergency treatment to operation and maintenance personnel.
In order to solve the technical problems, an embodiment of the invention provides a method for determining hidden danger points of a power transmission corridor based on a laser point cloud and a GIM three-dimensional model, which comprises the following steps:
s11, acquiring laser point cloud LAS data of a power transmission corridor and power transmission line GIM three-dimensional model data of the same line with the power transmission corridor;
s12, objectifying laser point cloud LAS data of a power transmission corridor according to the type of an entity object of the power transmission corridor to obtain point cloud single LAS data of different entity objects, wherein the entity object is divided into a main line point cloud single and a power transmission corridor environment point cloud single, the main line point cloud single comprises a tower, a tower base surface, a single-grade single-phase ground wire, a single-grade single-phase insulator string and a single-grade single-phase damper of a main line, and the power transmission corridor environment point cloud single at least comprises single wood, building single and construction machinery;
s13, performing light weight processing on the point cloud single body LAS data and the power transmission line GIM three-dimensional model data, and converting the point cloud single body LAS data and the power transmission line GIM three-dimensional model data into a tile type dataset with a hierarchical data structure so as to obtain light weight point cloud single body data and power transmission line three-dimensional model data of different entity objects;
s14, automatically associating the main line point cloud monomer with a corresponding three-dimensional model of a pole tower, a tower base surface, a single-gear single-phase earth wire, a single-gear single-phase insulator string and a single-gear single-phase damper in the three-dimensional model data of the power transmission line based on a coordinate fitting relation between the point cloud monomer data and the three-dimensional model data of the power transmission line, and providing characteristic data capable of being used as hidden danger point marks for the main line point Yun Shanti through existing equipment account data of the three-dimensional model to determine hidden danger points; determining the spatial relationship between the three-dimensional model data of the power transmission line and the environmental point cloud monomer of the power transmission corridor through a point cloud analysis algorithm, and determining hidden danger points;
s15, constructing operation and maintenance account data of the three-dimensional model of the power transmission line according to the determined hidden danger points and the association relation constructed in the step S14, and loading the point positions of the hidden danger points, the three-dimensional model data of the power transmission line and the operation and maintenance account data to a constructed power transmission digital twin platform for visualization.
Further, the step S12 specifically includes:
according to the entity object type of the power transmission corridor, carrying out point cloud classification on laser point cloud LAS data of the power transmission corridor;
dividing classified laser point cloud LAS data of the power transmission corridor according to outline boundary characteristics of different entity objects by a point cloud visual dividing tool to obtain point cloud single objects of the different entity objects;
and storing the point cloud single object into an independent LAS file to obtain the point cloud single LAS data of different entity objects.
Further, the types of the physical objects of the power transmission corridor comprise vegetation, buildings, construction external broken facilities, towers, tower bases, ground wires, insulator strings and vibration insulators.
Further, the feature data at least includes a model ID, a device number, and a device model number of the three-dimensional model.
Further, the step S14 further includes:
based on the coordinate fitting relation between the point cloud single data of the single tree and each grade of wire of the power transmission line corresponding to the three-dimensional model data of the power transmission line, determining the spatial relation between each grade of wire of the power transmission line corresponding to the three-dimensional model data of the power transmission line and the single tree through a ray method and a Euclidean distance calculation formula, and analyzing the hidden danger of the power transmission corridor tree obstacle for each grade of wire of the power transmission line corresponding to the three-dimensional model data of the power transmission line to obtain hidden danger points of the tree obstacle.
Further, the step S14 further includes:
based on the coordinate fitting relation between the point cloud monomer data of the building monomer and/or the construction machine and each grade of transmission line wire corresponding to the three-dimensional model data of the transmission line, determining the spatial relation between each grade of transmission line wire corresponding to the three-dimensional model data of the transmission line and the building monomer and/or the construction machine through a GIS space analysis algorithm, and carrying out external damage hidden danger analysis on each grade of transmission line wire corresponding to the three-dimensional model data of the transmission line to correspondingly obtain building hidden danger points and/or construction external damage hidden danger points.
Further, the step S14 further includes:
based on the coordinate fitting relation between the point cloud monomer data of the towers and the tower base planes and the corresponding towers in the three-dimensional model data of the power transmission line, a kmeans clustering algorithm is adopted for the point cloud monomer data of the towers, the point cloud monomer data of the tower base planes and the central coordinates of the towers of the three-dimensional model data of the power transmission line are extracted for registration, the point cloud monomer data of the towers and the three-dimensional model of the corresponding towers in the three-dimensional model data of the power transmission line are automatically associated, and the characteristic data which can be used as hidden danger point marks are provided for the towers and the tower base planes through the existing equipment account data of the three-dimensional model of the towers, so that hidden danger points of the towers are determined.
Further, the step S14 further includes:
and automatically associating the point cloud single data of the single-grade single-phase earth wire, the single-grade single-phase insulator string and/or the single-grade single-phase damper with the three-dimensional model of the single-grade single-phase earth wire, the single-grade single-phase insulator string and/or the single-grade single-phase damper in the three-dimensional model data of the power transmission line based on the coordinate fitting relation between the point cloud single data of the single-grade single-phase earth wire, the single-grade single-phase insulator string and/or the single-grade single-phase damper and the corresponding single-grade single-phase earth wire, the single-grade single-phase insulator string and/or the single-grade single-phase damper on the three-dimensional model data of the power transmission line, and displaying the point cloud single-phase data and the three-dimensional model data of the power transmission line on a built power transmission digital twin platform in a fusion mode according to a point cloud image layer and a model image layer, and identifying and extracting hidden danger points of the earth wire, the insulator string and/or hidden danger points of the vibration damper from the point cloud image layer and the model image layer.
The embodiment of the invention has the following beneficial effects: according to the embodiment of the invention, the hidden danger points on the power transmission line are determined by correlating the laser point cloud LAS data of the power transmission corridor with the GIM three-dimensional model data of the power transmission line, so that the identification efficiency of the hidden danger points of the long-mileage power transmission line channel can be rapidly improved; in addition, the embodiment of the invention carries out coordinate matching on the determined hidden danger points and related equipment on the transmission line corresponding to the three-dimensional model data of the transmission line, records and stores the hidden danger points in a transmission digital twin platform, establishes a digital history file, and provides hidden danger investigation work emphasis for operation and maintenance inspection so as to be beneficial to visually presenting places needing emergency treatment to operation and maintenance personnel; in addition, the embodiment of the invention combines the mature point cloud classification technology, the point cloud monomerization segmentation technology and the GIS space analysis technology, can obtain situation information of the transmission line and surrounding ground objects, can extract various hidden danger points including tree obstacle hidden danger points, building hidden danger points, construction external broken hidden danger points, tower foundation hidden danger points, ground wire hidden danger points, insulator string hidden danger points, damper hidden danger points and the like according to operation and maintenance service requirements, and therefore, the embodiment of the invention lightens the workload of the inspection work of the long-mileage transmission line and provides basic data for the follow-up intelligent automatic inspection around hidden danger points.
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In order to more clearly illustrate the embodiments of the invention or the technical solutions in the prior art, the drawings that are required in the embodiments or the description of the prior art will be briefly described, it being obvious that the drawings in the following description are only some embodiments of the invention, and that other drawings may be obtained according to these drawings without inventive effort for a person skilled in the art.
Fig. 1 is a flowchart of a method for determining hidden danger points of a power transmission corridor based on a laser point cloud and a GIM three-dimensional model according to an embodiment of the present invention.
Detailed Description
The following description of embodiments refers to the accompanying drawings, which illustrate specific embodiments in which the invention may be practiced.
As shown in fig. 1, an embodiment of the present invention provides a method for determining hidden danger points of a power transmission corridor based on a laser point cloud and a GIM (Grid Information Model ) three-dimensional model, the method comprising the following steps:
s11, acquiring laser point cloud LAS data of a power transmission corridor and power transmission line GIM three-dimensional model data of the same line with the power transmission corridor.
S12, the laser point cloud LAS data of the power transmission corridor are subjected to single objectification according to the type of the physical object of the power transmission corridor to obtain point cloud single LAS data of different physical objects, wherein the physical object is divided into a main line point cloud single and a power transmission corridor environment point cloud single, the main line point cloud single comprises a tower, a tower base surface, a single-grade single-phase ground wire, a single-grade single-phase insulator string and a single-grade single-phase damper of a main line, and the power transmission corridor environment point cloud single at least comprises single wood, a building single and construction machinery.
Specifically, the step S12 may include:
s121, performing point cloud classification on laser point cloud LAS data of the power transmission corridor according to the type of the entity object of the power transmission corridor.
The types of the physical objects of the power transmission corridor may include vegetation, buildings, construction external broken facilities, towers, tower bases, earth conductors, insulator strings, and vibration insulators, and are not limited thereto. When the point cloud classification is carried out on the laser point cloud LAS data of the power transmission corridor, vegetation point clouds can be obtained by adopting a nearby point classification algorithm, building point clouds can be obtained by adopting a building classification algorithm, pole tower point clouds and earth wire point clouds can be obtained by adopting a central line classification algorithm, insulator string point clouds and damper point clouds can be obtained by adopting an earth wire hanging point classification algorithm, and construction external broken facility entity objects and tower foundation protection area entity objects can be obtained by adopting a manual classification method. The above classification methods are known to those skilled in the art, and are not described herein.
S122, dividing the classified laser point cloud LAS data of the power transmission corridor according to the outline boundary characteristics of different entity objects through a point cloud visual dividing tool to obtain point cloud single objects of the different entity objects.
The entity object can be divided into a main line point cloud monomer and a power transmission corridor environment point cloud monomer, wherein the main line point cloud monomer comprises a tower, a tower base surface, a single-gear single-phase earth wire, a single-gear single-phase insulator string, a single-gear single-phase damper and the like of a main line, and the power transmission corridor environment point cloud monomer at least comprises single wood, building monomers and construction machinery.
S123, storing the point cloud single object into an independent LAS file to obtain point cloud single LAS data of different entity objects.
After obtaining the point cloud monomer LAS data of the different entity objects, the method according to the embodiment of the present invention further performs the following steps:
s13, performing light weight processing on the point cloud single body LAS data and the power transmission line GIM three-dimensional model data, and converting the point cloud single body LAS data and the power transmission line GIM three-dimensional model data into a tile type dataset with a hierarchical data structure so as to obtain the point cloud single body data and the power transmission line three-dimensional model data of different light-weight entity objects.
Specifically, the light-weight processing of the point cloud monomer LAS data may include: the point cloud single LAS data is segmented by a non-uniform octree algorithm, the integral data block is segmented into eight sub-blocks by using three orthogonal segmentation planes to expand the quadtree, and the segmentation strategies such as irregular segmentation, tight bounding volumes, overlapped segmentation and the like can be adopted by configuring the segmentation parameters.
The light weight processing of the transmission line GIM three-dimensional model data may include: dividing the three-dimensional model of the power transmission line GIM by using a non-uniform quadtree algorithm, adopting an irregular dividing, tightly surrounding body, overlapping dividing and dividing equal-division block strategy by configuring a block dividing parameter, and realizing non-uniform covered block division of the three-dimensional model distributed in a strip shape according to any number by using a grid dividing algorithm.
The above-mentioned light-weight treatment method is known to those skilled in the art, and thus is not described herein.
S14, automatically associating the main line point cloud monomer with a corresponding three-dimensional model of a pole tower, a tower base surface, a single-gear single-phase earth wire, a single-gear single-phase insulator string and a single-gear single-phase damper in the three-dimensional model data of the power transmission line based on a coordinate fitting relation between the point cloud monomer data and the three-dimensional model data of the power transmission line, and providing characteristic data capable of being used as hidden danger point marks for the main line point Yun Shanti through existing equipment account data of the three-dimensional model to determine hidden danger points; and determining the spatial relationship between the three-dimensional model data of the power transmission line and the environmental point cloud monomer of the power transmission corridor through a point cloud analysis algorithm, and determining hidden danger points.
In step S14, the determined hidden trouble points are different according to different entity objects.
For a main line point cloud monomer, a three-dimensional model of equipment corresponding to main line point cloud monomer and transmission line three-dimensional model data is automatically associated, wherein the three-dimensional model comprises a three-dimensional model of the main line, the tower base surface, the single-grade single-phase earth wire, the single-grade single-phase insulator string and the single-grade single-phase damper, and the existing equipment account data of the three-dimensional model provides characteristic data capable of being used as hidden danger point marks for corresponding main line points Yun Shanti and determines hidden danger points. The characteristic data at least comprises a model ID, an equipment number and an equipment model of the three-dimensional model, and the potential hazard points which can be determined can comprise tower foundation potential hazard points, ground wire potential hazard points, insulator string potential hazard points and damper potential hazard points.
And determining the spatial relationship between the three-dimensional model data of the power transmission line and the environmental point cloud monomer of the power transmission corridor through a point cloud analysis algorithm, and determining hidden danger points existing in the environmental point cloud monomer of the power transmission corridor. The point cloud analysis algorithm can include, but is not limited to, a ray method, a Euclidean distance calculation formula, a GIS space analysis algorithm and the like, and the determined hidden danger points can include tree obstacle hidden danger points, building hidden danger points and construction external broken hidden danger points.
Specifically, when the entity object is a log, the step S14 may further include:
based on the coordinate fitting relation between the point cloud single data of the single tree and each grade of wire of the power transmission line corresponding to the three-dimensional model data of the power transmission line, determining the spatial relation between each grade of wire of the power transmission line corresponding to the three-dimensional model data of the power transmission line and the single tree through a ray method and a Euclidean distance calculation formula, and analyzing the hidden danger of the power transmission corridor tree obstacle for each grade of wire of the power transmission line corresponding to the three-dimensional model data of the power transmission line to obtain hidden danger points of the tree obstacle.
Specifically, when the point cloud single data is Shan Mudian cloud single data, the transmission corridor tree obstacle hidden danger analysis is carried out on each grade of wires of the transmission line corresponding to the three-dimensional model data of the transmission line through a ray method and a Euclidean distance calculation formula, namely, the distance between a point set on each grade of wires of the transmission line and a single wood vertex is calculated and obtained, and the single wood with the in-grade tree distance which does not meet the safety distance required by the corresponding voltage grade is taken as a tree obstacle hidden danger point, so that the point position of the tree obstacle hidden danger point is obtained.
For the case that the physical object is a building unit and/or a construction machine, the step S14 may further include:
based on the coordinate fitting relation between the point cloud monomer data of the building monomer and/or the construction machine and each grade of transmission line wire corresponding to the three-dimensional model data of the transmission line, determining the spatial relation between each grade of transmission line wire corresponding to the three-dimensional model data of the transmission line and the building monomer and/or the construction machine through a GIS space analysis algorithm, and carrying out external damage hidden danger analysis on each grade of transmission line wire corresponding to the three-dimensional model data of the transmission line to correspondingly obtain building hidden danger points and/or construction external damage hidden danger points.
Specifically, when the point cloud single data is the point cloud single data of the building single and/or the construction machine, carrying out external damage hidden danger analysis on each grade of wires of the power transmission line corresponding to the three-dimensional model data of the power transmission line, namely extracting a linear center line in the three-dimensional model data of the power transmission line, establishing a buffer area with the linear center line as a center according to a preset radius, for example, 30 meters, extracting building single and/or construction machine in the buffer area through a GIS space analysis algorithm, and respectively calculating the point positions of the points, the points of which are closest to each grade of wires of the power transmission line, so as to determine the hidden danger points of the building and/or the hidden danger points of the external damage of the construction, and obtaining the point positions of the hidden danger points of the external damage of the building and/or the construction.
For the case that the physical object is a single-base tower or a tower base surface, the step S14 may further include:
and based on the coordinate fitting relation between the point cloud monomer data of the towers and the tower base planes and the corresponding towers in the three-dimensional model data of the power transmission line, adopting a kmeans clustering algorithm to the point cloud monomer data of the towers, extracting the point cloud monomer data of the tower base planes and the central coordinates of the towers of the three-dimensional model data of the power transmission line, registering the point cloud monomer data of the towers and the corresponding three-dimensional models of the towers in the three-dimensional model data of the power transmission line, automatically associating the point cloud monomer data of the towers with the existing equipment account data of the three-dimensional model of the towers to provide characteristic data capable of being used as hidden danger point marks for the towers and the tower base planes, and determining hidden danger points of the towers to obtain the hidden danger points of the towers.
Specifically, the tower foundation hidden danger points refer to four corner coordinates of a tower base surface, and the rotation and focusing of the video monitoring cameras on the corresponding towers are controlled through the coordinates, so that a tower foundation hidden danger point picture set can be obtained, further the tower foundation hidden danger points are determined, and the point positions of the tower foundation hidden danger points are obtained.
When the physical object is a single-stage single-phase earth lead, a single-stage single-phase insulator string, and/or a single-stage single-phase damper, the step S14 may further include:
based on the coordinate fitting relation between the point cloud single data of the single-grade single-phase earth wire, the single-grade single-phase insulator string and/or the single-grade single-phase damper and the single-grade single-phase earth wire, the single-grade single-phase insulator string and/or the single-grade single-phase damper on the corresponding transmission line in the three-dimensional model data of the transmission line, the point cloud single data of the single-grade single-phase earth wire, the single-grade single-phase insulator string and/or the single-grade single-phase damper is automatically associated with the corresponding three-dimensional model of the single-grade single-phase earth wire, the single-grade single-phase insulator string and/or the single-grade single-phase damper in the three-dimensional model data of the transmission line, and carrying out fusion display on the point cloud single data and the three-dimensional model data of the power transmission line on the built power transmission digital twin platform according to a point cloud image layer and a model image layer, identifying and extracting potential points of a ground wire, potential points of an insulator string and/or potential points of a damper from the point cloud image layer and the model image layer, and obtaining the potential points of the ground wire, the potential points of the insulator string and/or the potential points of the damper.
Further, the identifying and extracting may be performed manually.
S15, constructing operation and maintenance account data of the three-dimensional model of the power transmission line according to the determined hidden danger points and the association relation constructed in the step S14, and loading the point positions of the hidden danger points, the three-dimensional model data of the power transmission line and the operation and maintenance account data to a constructed power transmission digital twin platform for visualization.
Specifically, according to the determined hidden danger point and the association relationship constructed in the step S14, coordinate matching is performed on the hidden danger point and a corresponding device in the three-dimensional model data of the power transmission line to construct operation and maintenance account data of the three-dimensional model of the power transmission line, for example, coordinate matching may include, but is not limited to, coordinate matching of a tree obstacle hidden danger point, a building hidden danger point or a construction external broken hidden danger point with a related wire on the power transmission line corresponding to the three-dimensional model data of the power transmission line, coordinate matching of a tower base hidden danger point and a related tower on the power transmission line corresponding to the three-dimensional model data of the power transmission line, and coordinate matching of a lead wire hidden danger point, an insulator chain, an anti-vibration hammer and the like on the power transmission line corresponding to the three-dimensional model data of the power transmission line.
Based on the above, the method for determining the hidden danger points of the transmission corridor based on the laser point cloud and the GIM three-dimensional model in the embodiment of the invention correlates 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 existing on the transmission line, thereby being capable of rapidly improving the identification efficiency of the hidden danger points of the transmission line channel with long mileage; in addition, the embodiment of the invention carries out coordinate matching on the determined hidden danger points and related equipment on the transmission line corresponding to the three-dimensional model data of the transmission line, records and stores the hidden danger points in a digital twin platform of the transmission line, establishes a digital history file, and provides hidden danger investigation work emphasis for operation and maintenance inspection so as to be beneficial to visually presenting the positions needing emergency treatment, including the hidden danger points and the related equipment on the transmission line, to operation and maintenance personnel; in addition, the embodiment of the invention combines the mature point cloud classification technology, the point cloud monomerization segmentation technology and the GIS space analysis technology, can obtain situation information of the power transmission line and surrounding ground objects, and can extract various hidden danger points according to operation and maintenance service requirements, including tree obstacle hidden danger points, building hidden danger points, construction external broken hidden danger points, tower foundation hidden danger points, ground wire hidden danger points, insulator string hidden danger points, damper hidden danger points and the like. The embodiment of the invention reduces the workload of the inspection work of the long-mileage power transmission line and provides basic data for the follow-up intelligent automatic inspection around hidden danger points.
The foregoing disclosure is illustrative of the present invention and is not to be construed as limiting the scope of the invention, which is defined by the appended claims.
Claims (8)
1. A method for determining hidden danger points of a power transmission corridor based on a laser point cloud and a GIM three-dimensional model, the method comprising the following steps:
s11, acquiring laser point cloud LAS data of a power transmission corridor and power transmission line GIM three-dimensional model data of the same line with the power transmission corridor;
s12, objectifying laser point cloud LAS data of a power transmission corridor according to the type of an entity object of the power transmission corridor to obtain point cloud single LAS data of different entity objects, wherein the entity object is divided into a main line point cloud single and a power transmission corridor environment point cloud single, the main line point cloud single comprises a tower, a tower base surface, a single-grade single-phase ground wire, a single-grade single-phase insulator string and a single-grade single-phase damper of a main line, and the power transmission corridor environment point cloud single at least comprises single wood, building single and construction machinery;
s13, performing light weight processing on the point cloud single body LAS data and the power transmission line GIM three-dimensional model data, and converting the point cloud single body LAS data and the power transmission line GIM three-dimensional model data into a tile type dataset with a hierarchical data structure so as to obtain light weight point cloud single body data and power transmission line three-dimensional model data of different entity objects;
s14, automatically associating the main line point cloud monomer with a corresponding three-dimensional model of a pole tower, a tower base surface, a single-gear single-phase earth wire, a single-gear single-phase insulator string and a single-gear single-phase damper in the three-dimensional model data of the power transmission line based on a coordinate fitting relation between the point cloud monomer data and the three-dimensional model data of the power transmission line, and providing characteristic data capable of being used as hidden danger point marks for the main line point Yun Shanti through existing equipment account data of the three-dimensional model to determine hidden danger points; determining the spatial relationship between the three-dimensional model data of the power transmission line and the environmental point cloud monomer of the power transmission corridor through a point cloud analysis algorithm, and determining hidden danger points;
s15, constructing operation and maintenance account data of the three-dimensional model of the power transmission line according to the determined hidden danger points and the association relation constructed in the step S14, and loading the point positions of the hidden danger points, the three-dimensional model data of the power transmission line and the operation and maintenance account data to a constructed power transmission digital twin platform for visualization.
2. The method according to claim 1, wherein the step S12 specifically includes:
according to the entity object type of the power transmission corridor, carrying out point cloud classification on laser point cloud LAS data of the power transmission corridor;
dividing classified laser point cloud LAS data of the power transmission corridor according to outline boundary characteristics of different entity objects by a point cloud visual dividing tool to obtain point cloud single objects of the different entity objects;
and storing the point cloud single object into an independent LAS file to obtain the point cloud single LAS data of different entity objects.
3. The method of claim 2, wherein the physical object types of the power transmission corridor include vegetation types, construction outer break types, towers types, foundations types, earth conductors types, insulator strings, and damper types.
4. The method of claim 1, wherein the characteristic data includes at least a model ID, a device number, and a device model number of the three-dimensional model.
5. The method according to claim 1 or 2, wherein the step S14 further comprises:
based on the coordinate fitting relation between the point cloud single data of the single tree and each grade of wire of the power transmission line corresponding to the three-dimensional model data of the power transmission line, determining the spatial relation between each grade of wire of the power transmission line corresponding to the three-dimensional model data of the power transmission line and the single tree through a ray method and a Euclidean distance calculation formula, and analyzing the hidden danger of the power transmission corridor tree obstacle for each grade of wire of the power transmission line corresponding to the three-dimensional model data of the power transmission line to obtain hidden danger points of the tree obstacle.
6. The method according to claim 1 or 2, wherein the step S14 further comprises:
based on the coordinate fitting relation between the point cloud monomer data of the building monomer and/or the construction machine and each grade of transmission line wire corresponding to the three-dimensional model data of the transmission line, determining the spatial relation between each grade of transmission line wire corresponding to the three-dimensional model data of the transmission line and the building monomer and/or the construction machine through a GIS space analysis algorithm, and carrying out external damage hidden danger analysis on each grade of transmission line wire corresponding to the three-dimensional model data of the transmission line to correspondingly obtain building hidden danger points and/or construction external damage hidden danger points.
7. The method according to claim 1 or 2, wherein the step S14 further comprises:
based on the coordinate fitting relation between the point cloud monomer data of the towers and the tower base planes and the corresponding towers in the three-dimensional model data of the power transmission line, a kmeans clustering algorithm is adopted for the point cloud monomer data of the towers, the point cloud monomer data of the tower base planes and the central coordinates of the towers of the three-dimensional model data of the power transmission line are extracted for registration, the point cloud monomer data of the towers and the three-dimensional model of the corresponding towers in the three-dimensional model data of the power transmission line are automatically associated, and the characteristic data which can be used as hidden danger point marks are provided for the towers and the tower base planes through the existing equipment account data of the three-dimensional model of the towers, so that hidden danger points of the towers are determined.
8. The method according to claim 1 or 2, wherein the step S14 further comprises:
and automatically associating the point cloud single data of the single-grade single-phase earth wire, the single-grade single-phase insulator string and/or the single-grade single-phase damper with the three-dimensional model of the single-grade single-phase earth wire, the single-grade single-phase insulator string and/or the single-grade single-phase damper in the three-dimensional model data of the power transmission line based on the coordinate fitting relation between the point cloud single data of the single-grade single-phase earth wire, the single-grade single-phase insulator string and/or the single-grade single-phase damper and the corresponding single-grade single-phase earth wire, the single-grade single-phase insulator string and/or the single-grade single-phase damper on the three-dimensional model data of the power transmission line, and displaying the point cloud single-phase data and the three-dimensional model data of the power transmission line on a built power transmission digital twin platform in a fusion mode according to a point cloud image layer and a model image layer, and identifying and extracting hidden danger points of the earth wire, the insulator string and/or hidden danger points of the vibration damper from the point cloud image layer and the model image layer.
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| CN116245932A (en) * | 2023-05-10 | 2023-06-09 | 智洋创新科技股份有限公司 | Hidden danger ranging method for power transmission line based on grid idea |
| CN116245932B (en) * | 2023-05-10 | 2023-08-22 | 智洋创新科技股份有限公司 | Hidden danger ranging method for power transmission line based on grid idea |
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