A three-dimensional positioning design method for power transmission lines

Abstract

The application discloses a power transmission line two-three-dimensional linkage arrangement design method, relates to the technical field of power transmission line design, and comprises the following steps: a physical model of a power transmission line is established on a high-precision three-dimensional terrain model by adopting a catenary equation and finite element analysis through adjusted key parameters; the physical model is solved by using a boundary element method; a bilinear interpolation algorithm is used for optimization; and straight two-dimensional and three-dimensional simulation results are generated; and the physical model of the power transmission line is comprehensively evaluated and optimized based on the generated simulation results. The application realizes automatic construction of a high-precision three-dimensional terrain model by combining GIS and machine learning algorithms to automatically identify and integrate features in a multi-dimensional environmental data set, thereby improving the data processing efficiency and significantly improving the accuracy of the terrain model.

Description

Technical Field

[0001] This invention relates to the field of power transmission line design technology, and in particular to a two-dimensional and three-dimensional linkage layout design method for power transmission lines. Background Technology

[0002] In recent years, with the rapid growth of electricity demand and the continuous expansion of power transmission networks, higher requirements have been placed on the design accuracy and reliability of transmission lines. Traditional transmission line design methods mainly rely on two-dimensional plan maps and limited empirical data. This method has significant limitations in terms of accuracy when dealing with complex terrain, changing weather conditions, and the influence of multiple factors. To improve design efficiency and accuracy, researchers have gradually introduced advanced technologies such as satellite imagery, GIS, and field measurement data, and combined them with machine learning algorithms for data analysis and model building.

[0003] Specifically, current technologies have limitations in handling the integration of multi-source heterogeneous data. Although modern GIS can provide rich topographic and geographic information data, effectively integrating this data with other types of data to form a unified and high-precision 3D terrain model remains challenging. Furthermore, existing methods, when considering the impact of external loads on traverse morphology, typically employ static models or simplified assumptions, making it difficult to accurately simulate the dynamic behavior of traverses during actual operation. Summary of the Invention

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

[0005] Therefore, this invention provides a two-dimensional and three-dimensional linkage layout design method for transmission lines to solve the problems of insufficient integration of multi-source heterogeneous data and low accuracy of dynamic behavior modeling.

[0006] To solve the above-mentioned technical problems, the present invention provides the following technical solution:

[0007] In a first aspect, this invention provides a two-dimensional and three-dimensional linkage layout design method for transmission lines, comprising: collecting comprehensive transmission line data through satellite imagery, GIS, field measurements, and meteorological stations; preprocessing the comprehensive transmission line data to generate a multi-dimensional environmental dataset; based on the generated multi-dimensional environmental dataset, combining GIS and machine learning algorithms to automatically identify and integrate features in the multi-dimensional environmental dataset to construct a high-precision three-dimensional terrain model reflecting the actual situation; based on the high-precision three-dimensional terrain model, obtaining real-time meteorological data of the current area by connecting to a meteorological service API, and automatically adjusting key parameters according to the real-time meteorological data; using the adjusted key parameters, establishing a physical model of the transmission line on the high-precision three-dimensional terrain model using the catenary equation and finite element analysis, solving the physical model using the boundary element method, and optimizing it using a bilinear interpolation algorithm to generate two-dimensional and three-dimensional simulation results; and based on the generated simulation results, comprehensively evaluating and optimizing the physical model of the transmission line.

[0008] As a preferred embodiment of the two-dimensional and three-dimensional linkage layout design method for transmission lines described in this invention, the comprehensive transmission line data includes terrain and geographic information data, conductor suspension point coordinates, vegetation cover data, and meteorological data.

[0009] The preprocessing includes data cleaning, format unification, coordinate system transformation, and data integration, and generates a multidimensional environmental dataset.

[0010] As a preferred embodiment of the two-dimensional and three-dimensional linkage layout design method for transmission lines described in this invention, the step of automatically identifying and integrating features in the generated multi-dimensional environmental dataset, combined with GIS and machine learning algorithms, includes the following specific steps.

[0011] Based on the generated multidimensional environmental dataset, the elevation points, slopes and terrain surface morphology of the transmission line path are extracted through the GIS spatial analysis engine, and a standardized geographic feature dataset is generated.

[0012] The generated standardized geographic feature dataset is input into the CNN to perform pixel-level recognition of the direction of the guide wire, the location of the tower base, and the outline of the obstacle in the satellite image, generating a set of feature vectors with spatial coordinates.

[0013] As a preferred embodiment of the two-dimensional and three-dimensional linkage layout design method for transmission lines described in this invention, the specific steps for constructing a high-precision three-dimensional terrain model reflecting the actual situation are as follows.

[0014] Spatial matching is performed between the feature vector set with spatial coordinates and the field measurement elevation data in the multidimensional environment dataset, and an initial three-dimensional terrain network model is generated through spatial triangulation.

[0015] Based on the generated initial 3D terrain network model, grid points of a high-precision 3D terrain model are generated using regular grid interpolation.

[0016] The grid points of the high-precision 3D terrain model are fused with the coordinates of the traverse suspension points measured on site, and the terrain surface morphology is adjusted by optimizing the corrected point cloud distribution to generate a high-precision 3D terrain model.

[0017] As a preferred embodiment of the two-dimensional and three-dimensional linkage layout design method for transmission lines described in this invention, the method involves: obtaining real-time meteorological data of the current area based on a high-precision three-dimensional terrain model by connecting to a meteorological service API, and automatically adjusting key parameters according to the real-time meteorological data. The specific steps are as follows:

[0018] Call the RESful interface of the meteorological service API to obtain real-time meteorological data for the current area;

[0019] Real-time meteorological data is spatiotemporally aligned with grid points of a high-precision 3D terrain model to generate a meteorological feature matrix;

[0020] Based on the meteorological feature matrix, the spatial location of the conductor suspension point is dynamically matched, and key parameters in the transmission line design are automatically adjusted through simulation analysis.

[0021] The key parameters include conductor tension, sag, safety factor, temperature compensation, and wind load effect.

[0022] As a preferred embodiment of the two-dimensional and three-dimensional linkage layout design method for transmission lines described in this invention, the physical model of the transmission line is established on a high-precision three-dimensional terrain model using the catenary equation and finite element analysis based on the adjusted key parameters. The specific steps are as follows:

[0023] Based on the adjusted key parameters, the coordinates of the traverse suspension points in the high-precision three-dimensional terrain model are input into the catenary equation to calculate the spatial shape of the traverse under its own weight and external loads.

[0024] The calculated spatial state of the conductor is combined with a high-precision three-dimensional terrain model to generate the basic physical model of the transmission line.

[0025] The basic physical model is discretized into a finite element mesh, and wind speed, temperature compensation, and conductor tension boundary values ​​are loaded. The physical model of the transmission line is constructed through finite element analysis.

[0026] As a preferred embodiment of the two-dimensional and three-dimensional linkage layout design method for transmission lines described in this invention, wherein:

[0027] The physical model is solved using the boundary element method, and optimized using a bilinear interpolation algorithm to generate two-dimensional and three-dimensional simulation results. The specific steps are as follows:

[0028] The physical model is solved using the boundary element method, which transforms the physical problem into an integral equation on the boundary, and solves for the stress distribution and displacement field of the conductor at different locations.

[0029] The stress distribution and displacement field obtained by the boundary element method are optimized by using a bilinear interpolation algorithm. By selecting vertices within the mesh element and performing interpolation calculations based on the data of adjacent points, the gaps in the stress and displacement data are filled.

[0030] The stress-displacement data includes supplementary stress and displacement values ​​in uncalculated and sparse regions of the grid;

[0031] Based on optimized stress-displacement data, ANSYS tools were used to render and generate two-dimensional and three-dimensional simulation results.

[0032] As a preferred embodiment of the two-dimensional and three-dimensional linkage layout design method for transmission lines described in this invention, wherein:

[0033] Based on the generated simulation results, a comprehensive evaluation and optimization of the physical model of the transmission line is performed. The specific steps are as follows:

[0034] Collision verification is performed based on the generated simulation results to check the minimum safe distance between the wires and other structures.

[0035] Stress verification is performed based on the generated simulation results to evaluate the maximum stress of conductors and towers under various load conditions.

[0036] Based on the evaluation results, the physical model of the transmission line was optimized.

[0037] In a second aspect, the present invention provides a computer device, including a memory and a processor, wherein the memory stores a computer program, and the computer program, when executed by the processor, implements any step of the two-dimensional and three-dimensional linkage layout design method for transmission lines as described in the first aspect of the present invention.

[0038] Thirdly, the present invention provides a computer-readable storage medium having a computer program stored thereon, wherein: when the computer program is executed by a processor, it implements any step of the two-dimensional and three-dimensional linkage layout design method for transmission lines as described in the first aspect of the present invention.

[0039] The beneficial effects of this invention are as follows: by combining GIS and machine learning algorithms to automatically identify and integrate features in multidimensional environmental datasets, the automated construction of high-precision three-dimensional terrain models is realized, which not only improves the efficiency of data processing, but also significantly enhances the accuracy of terrain models. Furthermore, by introducing real-time meteorological data to dynamically adjust key parameters, and by combining the catenary equation and finite element analysis to establish a physical model of transmission lines, accurate simulation of conductors under complex external loads is achieved. Attached Figure Description

[0040] To more clearly illustrate the technical solutions of the embodiments of the present invention, the drawings used in the following description of the embodiments will be briefly introduced. Obviously, the drawings described below are only some embodiments of the present invention. For those skilled in the art, other drawings can be obtained based on these drawings without creative effort.

[0041] Figure 1 This is a flowchart of the two-dimensional linkage layout design method for transmission lines in Example 1.

[0042] Figure 2 This is a detailed flowchart of the data acquisition and preprocessing process for the two-dimensional and three-dimensional linkage layout design method of transmission lines in Example 1.

[0043] Figure 3 This is a flowchart of the three-dimensional terrain modeling and parameter adjustment process in the two-dimensional and three-dimensional linkage layout design method for transmission lines in Example 1.

[0044] Figure 4 This is a flowchart of the mechanical modeling and simulation optimization of the two- and three-dimensional linkage layout design method for transmission lines in Example 1. Detailed Implementation

[0045] To make the above-mentioned objects, features and advantages of the present invention more apparent and understandable, the specific embodiments of the present invention will be described in detail below with reference to the accompanying drawings.

[0046] Many specific details are set forth in the following description in order to provide a full understanding of the invention. However, the invention may also be practiced in other ways different from those described herein, and those skilled in the art can make similar extensions without departing from the spirit of the invention. Therefore, the invention is not limited to the specific embodiments disclosed below.

[0047] Secondly, the term "one embodiment" or "embodiment" as used herein refers to a specific feature, structure, or characteristic that may be included in at least one implementation of the present invention. The phrase "in one embodiment" appearing in different places in this specification does not necessarily refer to the same embodiment, nor is it a single or selective embodiment that is mutually exclusive with other embodiments.

[0048] Example 1, referring to Figures 1-4 This is the first embodiment of the present invention, which provides a two-dimensional and three-dimensional linkage layout design method for transmission lines, including the following steps:

[0049] S1: Collect comprehensive power line data through satellite imagery, GIS, field measurements, and meteorological stations; preprocess the comprehensive power line data; and generate a multidimensional environmental dataset.

[0050] S1.1: Comprehensive power line data includes topographic and geographic information data, conductor suspension point coordinates, vegetation cover data, and meteorological data.

[0051] The multidimensional environmental dataset includes terrain information, land use, building height, vegetation coverage, and historical and real-time weather conditions.

[0052] Furthermore, firstly, it is necessary to collect topographic and geographic information data. This includes using GIS to obtain detailed topographic features, geological conditions, and other information about the areas through which the power lines pass, providing a foundation for line planning. Next, determining the coordinates of the conductor suspension points is a crucial step. Precise measurements and calculations are used to determine the specific coordinates of each suspension point, ensuring the power lines can be safely erected along the predetermined path. Simultaneously, obtaining vegetation cover data is indispensable. Satellite imagery or drone aerial photography is used to analyze the distribution of vegetation along the route and assess its potential impact on the power lines, such as the safety hazards that excessively tall trees may pose. Finally, considering the impact of meteorological conditions on power line operation, relevant meteorological data, including but not limited to wind speed, temperature, and snowfall, needs to be collected and analyzed to predict the safety and stability of the power lines under extreme weather conditions.

[0053] S1.2: Preprocessing includes data cleaning, format standardization, coordinate system transformation, and data integration.

[0054] Furthermore, the collected comprehensive power line data undergoes data preprocessing, including data cleaning to eliminate errors and inconsistencies, standardizing the format of all data for easier management and analysis, transforming the coordinate system to ensure geographical accuracy, and finally integrating data from different sources such as satellite image analysis results, field measurement data, and meteorological information to form a complete and consistent power line database, providing reliable support for subsequent analysis and applications.

[0055] S2: Based on the generated multidimensional environmental dataset, combined with GIS and machine learning algorithms, it automatically identifies and integrates the features in the multidimensional environmental dataset to construct a high-precision three-dimensional terrain model that reflects the actual situation on the ground.

[0056] S2.1: Based on the generated multidimensional environmental dataset, the elevation points, slopes and terrain surface morphology of the transmission line path are extracted through the GIS spatial analysis engine, and a standardized geographic feature dataset is generated.

[0057] It should be noted that, based on the generated multidimensional environmental dataset, the dataset was first loaded using a GIS spatial analysis engine to prepare for extracting geographic information related to the transmission line route. Next, the elevation analysis function in the GIS tool was used to accurately extract various elevation points along the transmission line route, reflecting the changes in elevation along the terrain. Then, these elevation points were further processed to calculate the slope of each segment of the route, to understand the degree of inclination of the line in different sections, which is crucial for assessing construction difficulty and stability. Simultaneously, digital terrain modeling (DTM) or digital surface modeling (DSM) analysis techniques were used to depict the topographic surface morphology of the area covered by the transmission line route, including the influence of mountains, rivers, and other surface features. Finally, these extracted and analyzed elevation points, slope information, and topographic surface morphology data were used to generate a standardized geographic feature dataset.

[0058] S2.2: Input the generated standardized geographic feature dataset into the CNN to perform pixel-level recognition of the direction of the guide wire, the location of the tower base and the outline of the obstacle in the satellite image, and generate a set of feature vectors with spatial coordinates.

[0059] Furthermore, the generated standardized geographic feature dataset is used as input. First, a preprocessing step is performed to register it with the corresponding satellite imagery, ensuring precise alignment between geographic features and image information. Next, leveraging the powerful feature extraction capabilities of CNNs, in-depth analysis is conducted on the registered satellite images to achieve pixel-level recognition of conductor routes, tower base locations, and obstacle outlines. During this process, the CNN automatically learns and identifies complex patterns and features related to transmission lines in the image, including fine conductors and tower bases of different shapes and sizes. For each identified key element, corresponding spatial coordinates are generated based on its position in the image. Finally, the spatial coordinates of all identified elements are combined with their feature descriptions to form a feature vector set with spatial coordinates. This set not only records the conductor routes and tower base locations in detail but also accurately depicts the outlines of obstacles that may affect the safe operation of the transmission line.

[0060] S2.3: Spatial matching is performed between the feature vector set with spatial coordinates and the field measurement elevation data in the multidimensional environment dataset, and an initial three-dimensional terrain network model is generated through spatial triangulation.

[0061] Furthermore, based on the feature vector set with spatial coordinates, it is first precisely spatially matched with the field-measured elevation data in the multidimensional environmental dataset. This process involves combining the positional information of elements such as conductors, tower bases, and obstacles identified in the feature vector set with the actual terrain elevation data, ensuring that each element can be accurately mapped to its three-dimensional coordinate position in the real world. After completing the spatial matching, spatial triangulation is then employed, a method that approximates complex shapes using a series of non-overlapping triangles. In this step, the previously matched spatial coordinate points are used as vertices to construct a triangular mesh covering the entire study area. These triangles effectively simulate the changes in the terrain surface, generating an initial three-dimensional terrain network model. This model not only faithfully reflects the actual terrain undulations but also accurately incorporates the key elements of the transmission line, providing a solid three-dimensional framework for subsequent engineering design and safety assessment.

[0062] S2.4: Based on the generated initial 3D terrain network model, generate grid points for a high-precision 3D terrain model using regular grid interpolation;

[0063] It should be noted that, based on the generated initial 3D terrain network model, the areas requiring refinement and improved accuracy are first identified to prepare for subsequent steps. Next, a regular grid interpolation method is used to process the selected areas. This method increases the resolution of the terrain model by inserting new grid points between the vertices of the triangular grid in the initial model. Specifically, based on the existing spatial coordinates and elevation information in the initial 3D terrain network model, equally spaced grid points are divided within each triangular unit. The elevation values ​​of these new grid points are calculated by weighted averaging the elevation values ​​of surrounding known data points to ensure the continuity and accuracy of the terrain surface. In this way, the entire terrain model is gradually filled and refined, ultimately generating a high-precision 3D terrain model with a higher density of grid points.

[0064] S3: Based on a high-precision 3D terrain model, it obtains real-time meteorological data of the current area by connecting to the meteorological service API, and automatically adjusts key parameters according to the real-time meteorological data.

[0065] S3.1: Call the RESful interface of the meteorological service API to obtain real-time meteorological data for the current area.

[0066] Furthermore, to obtain real-time meteorological data for the current region, it is first necessary to determine the meteorological service API to be used and consult its documentation to understand the specific calling methods and required parameters of the RESTful interface, such as regional coordinates or name, and the required meteorological data type. Next, an HTTP request is constructed in the code, embedding these parameters into the request URL or request body, and setting appropriate request headers according to the API requirements, such as authentication tokens or API keys, to ensure the legitimacy of the request. Then, a GET or POST request is sent to the specified endpoint of the meteorological service API via a web library. Once the request is successfully processed, the server will return a response containing real-time meteorological data in a predefined format (such as JSON or XML). Finally, this response content is parsed to extract key meteorological information such as temperature, humidity, and wind speed, and applied to specific scenarios, such as adjusting power line design schemes or assessing operational risks.

[0067] S3.2: Spatiotemporally align real-time meteorological data with grid points of a high-precision 3D terrain model to generate a meteorological feature matrix.

[0068] It should be noted that, firstly, the acquired real-time meteorological data is parsed and preprocessed to extract meteorological parameters related to the high-precision 3D terrain model, such as temperature, humidity, and wind speed, and these data are ensured to be sorted by timestamp for subsequent alignment operations. Next, based on the grid point coordinate information of the high-precision 3D terrain model, the geographical location corresponding to each grid point is determined. Then, using GIS spatial interpolation methods, the meteorological parameter values ​​at each grid point are calculated according to the spatial distribution characteristics of the real-time meteorological data, enabling spatial matching of the meteorological data on the 3D terrain model. In this process, the temporal resolution of the meteorological data needs to be considered to ensure timeliness and complete spatiotemporal alignment by selecting the meteorological data closest to the current time. Finally, all meteorological parameter values ​​corresponding to each grid point are organized into a matrix to generate a meteorological feature matrix. This matrix not only contains the 3D structural information of the terrain but also integrates the latest meteorological conditions.

[0069] S3.3: Based on the meteorological feature matrix, the spatial location of the conductor suspension point is dynamically matched, and the key parameters in the design of the transmission line are automatically adjusted through simulation analysis.

[0070] Furthermore, based on the meteorological feature matrix, the meteorological parameters are first dynamically matched with the conductor suspension point locations in the high-precision 3D terrain model to ensure that each suspension point is associated with the latest meteorological conditions at its location, such as wind speed and temperature. Next, simulation software is used to model the transmission line, inputting a dataset containing meteorological data and terrain information to simulate the conductor's behavior under different meteorological conditions. During the simulation, based on the detailed data provided by the meteorological feature matrix, key parameters affecting the transmission line design are automatically adjusted, such as conductor tension, tower foundation design strength, and insulator selection, to adapt to various possible extreme weather conditions. Through multiple iterative simulation analyses, the performance of different design schemes under severe weather conditions is evaluated, and the optimal design scheme is identified, ensuring that the transmission line not only operates stably under current meteorological conditions but also has sufficient safety margins to cope with future climate change.

[0071] S3.4: Key parameters include conductor tension, sag, safety factor, temperature compensation, and wind load effect.

[0072] It should be noted that, firstly, the spatial locations of the conductor suspension points are dynamically matched to ensure that each suspension point is accurately associated with the real-time meteorological conditions of its location. Next, using simulation software, these meteorological data and terrain information are input to simulate the behavior of the transmission line under different meteorological conditions. During the simulation, for conductor tension, the tension value is automatically adjusted according to changes in wind speed and temperature to maintain conductor stability; for sag adjustment, the elongation or shortening of the conductor due to temperature changes is calculated based on a temperature compensation mechanism, thereby optimizing the sag design and ensuring safe distances. Simultaneously, considering the safety factor, the relationship between meteorological loads (such as wind load effects) and structural bearing capacity is comprehensively analyzed, and the design standards of key components are appropriately increased to enhance overall safety. When assessing wind load effects, detailed wind speed and direction data provided by the meteorological characteristic matrix are used to simulate the impact of wind forces of different intensities and directions on the transmission line, optimizing the design parameters of the tower foundation and conductors to mitigate the risk of wind-induced vibration and fatigue damage. The entire process achieves refined and intelligent design of transmission lines by automatically adjusting key parameters such as conductor tension, sag, safety factor, temperature compensation, and wind load effect, ensuring that they can maintain efficient and stable operation under complex and changeable weather conditions.

[0073] S4: By adjusting the key parameters, a physical model of the transmission line is established on a high-precision three-dimensional terrain model using the catenary equation and finite element analysis. The physical model is solved using the boundary element method and optimized using the bilinear interpolation algorithm to generate two-dimensional and three-dimensional simulation results.

[0074] S4.1: Based on the adjusted key parameters, the coordinates of the traverse suspension points in the high-precision 3D terrain model are input into the catenary equation to calculate the spatial shape of the traverse under its own weight and external loads. The specific expression is as follows:

[0075]

[0076] in, Indicates the horizontal distance of the conductor The vertical coordinates at that location Indicates the initial tension of the conductor. This indicates the weight per unit length of the conductor. Represents the hyperbolic cosine function. Indicates the horizontal position coordinates along the traverse path. This indicates the horizontal coordinates of the midpoint of the suspension point. This indicates the horizontal coordinates of the point where the conductor is suspended. Represents the external load per unit length. Represents the arc length coordinates along the conductor path. Indicates the position along the length of the conductor. External load per unit length at the location, It is the integration constant.

[0077] It should be noted that, based on the adjusted key parameters, the coordinates of each conductor suspension point in the high-precision 3D terrain model are first extracted, and the input data required for the catenary equation is prepared, including but not limited to the adjusted conductor tension, sag, temperature compensation coefficient, and external loads such as wind load. Next, for each suspension point pair, based on its spatial coordinates and corresponding adjusted parameters, the catenary equation is applied to calculate the spatial morphology of the conductor under the combined action of its own weight and external loads. In this process, the changes in parameters under different meteorological conditions are considered, such as the thermal expansion and contraction effect caused by temperature and the additional stress caused by wind load, to accurately simulate the actual state of the conductor. Through iterative calculations, the true morphology of the conductor under these conditions is gradually approximated, ensuring that the calculation results accurately reflect the actual situation. Finally, all the calculated conductor location points are connected to form a complete and accurate curve describing the spatial distribution of the conductor under specific load conditions, providing a reliable reference for the design, construction, and maintenance of transmission lines, and ensuring that the line can operate safely and stably within its design life.

[0078] S4.2: Combine the calculated spatial state of the conductor with a high-precision three-dimensional terrain model to generate the basic physical model of the transmission line.

[0079] Furthermore, combining the calculated spatial state of the conductor with a high-precision 3D terrain model first requires ensuring the consistency of their coordinates to achieve accurate spatial alignment. Next, the positional data of each point on the conductor, calculated using the catenary equation, is imported into the 3D model containing terrain information. During this process, GIS tools or specialized power line design software are used to map the spatial morphology data of the conductor point-by-point onto the corresponding positions in the terrain model, ensuring that the conductor not only hangs correctly between the tower bases but also accurately reflects the sag changes caused by its own weight and external loads. Simultaneously, environmental factors surrounding the transmission line, such as vegetation cover and building distribution, are considered to further refine the detailed information in the model. After data fusion, a comprehensive basic physical model of the transmission line is generated. This model not only clearly shows the actual direction and morphology of the conductor in 3D space but also includes environmental features such as terrain and landforms along the line.

[0080] S4.3: Discretize the basic physical model into a finite element mesh, and load wind speed, temperature compensation, and conductor tension boundary values ​​to construct the physical model of the transmission line through finite element analysis.

[0081] It should be noted that, firstly, the basic physical model is imported into the finite element analysis software and discretized, that is, the transmission line and its surrounding environment are decomposed into thousands of small element meshes to ensure that each element accurately reflects the physical characteristics of the local area. Next, material properties and boundary conditions are defined within each cell, especially for the conductor section, loading calculated key parameters such as wind speed, temperature compensation, and adjusted conductor tension as boundary values. In this stage, corresponding external loads are applied to each element according to different meteorological conditions. For example, wind loads act on the conductor surface according to the direction and intensity of wind speed, while temperature compensation affects the thermal expansion and contraction behavior of the conductor. Then, the finite element method is used to solve the problem, iteratively calculating and analyzing the response of each element under given boundary conditions, including changes in physical quantities such as stress, strain, and displacement, thereby simulating the behavior of the entire transmission line in the actual working environment.

[0082] S4.4: Solving the physical model based on the boundary element method. The boundary element method transforms the physical problem into an integral equation on the boundary, solving for the stress distribution and displacement field of the conductor at different locations. The specific expression is as follows:

[0083] ;

[0084] in, It represents the physical quantity response in a specific direction. Indicates the direction of the applied physical quantity. This represents the position vector of the observation point. Indicates at the observation point The corrected displacement component in the output direction. Indicates at the observation point Input direction at the location displacement components on, Indicates at the boundary point Input direction at the location The surface force component, The integral region representing the boundary. Indicates at the source point When a unit surface force is applied at the observation point Output direction at The resulting displacement is corresponding. Indicates at the source point When a unit displacement is applied at the observation point Output direction at The traction response generated above, Represents the position vector of the source point. Indicates in Input direction at the location The displacement components on.

[0085] Furthermore, for example in a two-dimensional elasticity problem, consider a point on the boundary. displacement components at the location (Right now (displacement in direction), and =1, =2, if If it is a smooth point on the boundary, then =1, if If it is a corner point or edge point on the boundary, then =1 may be less than 1, depending on the geometric properties of the point.

[0086] It should be noted that, firstly, based on the constructed physical model of the transmission line, the key boundary conditions requiring analysis are identified, including factors such as the location of conductor suspension points, conductor tension, wind speed load, and temperature compensation. Next, the boundary element method (BEM) is used to simplify the complex three-dimensional physical problem and transform it into integral equations involving only the model boundaries. Specifically, for structures such as conductors and tower foundations, unknown variables on their boundaries, such as stress and displacement, are defined. Then, based on physical laws and material properties, corresponding integral equations are established on these boundaries. During this process, specific meteorological conditions at different locations, such as varying wind speed and temperature, are considered, and the input parameters are precisely adjusted to reflect the actual working environment. Subsequently, these integral equations are solved numerically to calculate the stress distribution and displacement field of the conductor at different locations. The advantage of the BEM is that it only requires discretization of the boundaries, thereby reducing the computational load and improving solution efficiency. Finally, based on the solution results, the behavioral characteristics of the conductor under various external conditions can be analyzed in detail, providing data support for optimized design and ensuring the safe and stable operation of the transmission line in a complex and variable environment. The entire process, from setting boundary conditions to solving for stress distribution and displacement field, demonstrates how the boundary element method can be used to effectively analyze the actual operating conditions of transmission lines.

[0087] S4.5: The stress distribution and displacement field obtained by the boundary element method are optimized by using a bilinear interpolation algorithm. By selecting vertices in the mesh element and performing interpolation calculations based on the data of adjacent points, the gaps in stress and displacement data are filled.

[0088] Furthermore, firstly, based on the stress distribution and displacement field data obtained by the boundary element method, data gaps requiring optimization are identified within the grid cells. These areas may contain missing or discontinuous data due to discretization. Next, vertices within each grid cell to be optimized are selected as interpolation nodes, and known stress and displacement values ​​at their neighboring points are collected. Then, a bilinear interpolation algorithm is applied to calculate the stress and displacement values ​​at the target point based on the spatial relationship between the selected vertex and its neighboring points. Specifically, the algorithm first performs linear interpolation in two directions, then estimates the target point's value by combining the data from the four nearest neighbors using a weighted average method, ensuring a smooth transition and accurately reflecting local trends. This interpolation step is repeated until all data gaps in the grid cells are filled. Ultimately, the bilinear interpolation method not only improves the overall resolution and smoothness of the stress distribution and displacement field but also provides an optimized data foundation for more accurately assessing the safety and stability of transmission line structures, making the analysis results closer to reality.

[0089] S4.6: Based on the optimized stress-displacement data, use ANSYS tools to render and generate two-dimensional and three-dimensional simulation results.

[0090] Furthermore, firstly, the stress-displacement data optimized by the bilinear interpolation algorithm is imported into ANSYS to ensure that all data is accurately mapped to the corresponding geometric model. Next, appropriate element types and material properties are selected in ANSYS to match the original physical model, and a corresponding finite element analysis model is established. Then, by setting suitable boundary conditions and load conditions, the stress state of the structure under actual working conditions is simulated. Next, the solver is run to calculate and obtain detailed results of stress distribution and displacement field. To generate a two-dimensional orthographic view, a specific section or viewpoint can be selected in the post-processing stage, and the stress cloud map and displacement vector map at that viewpoint can be directly rendered using the graphical tools provided by ANSYS, intuitively displaying the data characteristics of key areas. For the three-dimensional simulation results, the view parameters need to be adjusted to observe the overall deformation morphology, stress concentration areas, and displacement trends of the structure from different angles. Simultaneously, functions such as color mapping and transparency adjustment are used to enhance the image's expressiveness, thereby obtaining a clear and representative three-dimensional visualization effect.

[0091] S5: Based on the generated simulation results, a comprehensive evaluation and optimization of the physical model of the transmission line is performed.

[0092] S5.1: Perform collision verification based on the generated simulation results to check the minimum safe distance between the wires and other structures;

[0093] Furthermore, firstly, based on the generated 2D and 3D simulation results, the collision verification function is initiated in ANSYS or other appropriate engineering analysis tools. This process begins by defining all structural elements to be checked, including conductors, tower bases, and other objects that may affect safe distances, such as vegetation or buildings. Next, a standard value for the minimum safe distance is set, typically determined according to industry standards or specific project requirements. Then, using the software's geometric analysis tools, the position of the conductor under different operating conditions and its distance from surrounding structures are precisely calculated. During this process, changes in the conductor's position are observed by dynamically simulating different weather conditions, and its distance from surrounding objects is monitored in real time. The software automatically marks any potential collision points below the preset minimum safe distance. For these critical areas, further detailed local magnification analysis is performed to ensure no detail is overlooked. Finally, all detected data is summarized, and a report is generated listing all locations with risks and their specific parameters, providing engineers with a basis to take necessary adjustments, such as modifying the design, adding support structures, or removing obstacles, thereby ensuring the safety and reliability of the transmission line throughout its entire lifespan.

[0094] S5.2: Perform stress verification based on the generated simulation results to evaluate the maximum stress of conductors and towers under various load conditions.

[0095] It should be noted that, firstly, based on the generated 2D and 3D simulation results, the stress verification process is initiated in ANSYS. Initially, all critical structural components requiring evaluation are identified, including conductors and towers, and their properties in the model are ensured to be accurate, such as material properties, dimensions, and connection methods. Next, different load conditions are set according to actual operating conditions, including but not limited to static loads, dynamic loads, thermal stress caused by temperature changes, and other possible external factors. Then, the software's built-in solver is used to calculate the stress distribution of various parts of the conductors and towers under different load conditions. Special attention is paid to areas expected to bear the maximum stress, such as conductor suspension points and tower connections. Based on this, the calculated maximum stress values ​​are compared with the allowable stress standards of the materials to assess whether safety requirements are met. If the maximum stress in some areas exceeds the safety threshold, further analysis is needed, and improvement measures should be proposed, such as optimizing design parameters or selecting higher-strength materials. Finally, all stress analysis data is summarized to generate a detailed report, listing the stress state and safety evaluation of each critical component under different load conditions, providing solid data support for subsequent design adjustments and engineering decisions.

[0096] Furthermore, based on the evaluation results of stress verification and collision verification, the original design scheme was first reviewed in detail to identify key parts that needed optimization. Regarding conductor tension, based on the results of maximum stress analysis, the tension value was appropriately adjusted to reduce the load in high-stress areas, while ensuring that excessive sag would not affect the safety distance due to insufficient tension. For tower height and location, stress distribution, terrain conditions, and minimum safety distance requirements from surrounding structures needed to be comprehensively considered. If the maximum stress in certain areas exceeded the limit or there was a potential collision risk, the conductor sag could be reduced by increasing the tower height, or the tower positions could be rearranged to avoid obstacles and optimize stress distribution. Specific steps included: first, calculating the new tower location and height parameters, and using engineering simulation software to simulate the impact of these changes on the overall structure; then, comparing the stress distribution diagrams and safety distance check results before and after optimization to ensure that the maximum stress in all key parts was within the allowable range of the material and met the minimum safety distance requirements; finally, further fine-tuning the design parameters based on simulation feedback until the optimal design scheme was found. Finally, the optimized design scheme is documented, detailing the adjustments and their expected effects, and an implementation plan is prepared, including necessary site surveys and technical briefings, to ensure that the design scheme can be successfully applied to actual engineering construction, thereby improving the overall safety and economy of the transmission line.

[0097] S5.3: Optimize the physical model of the transmission line based on the evaluation results.

[0098] Furthermore, based on the optimized design, all adjusted parameters, including updated conductor tension values, new tower heights, and position coordinates, were first re-input into the high-precision 3D terrain model. Next, specialized software was used to comprehensively review the updated model, ensuring that every improvement measure was accurately reflected in the model and precisely matched with the terrain and other structural elements. Then, stress and collision checks were run again using simulation analysis tools to verify whether the optimization measures effectively reduced the maximum stress in critical areas and ensured sufficient safety distances. During this process, special attention was paid to adjusted design aspects, such as whether the new tower locations reduced potential conflicts with other structures or ground vegetation, and whether the adjusted conductor tension reasonably controlled sag, avoiding safety hazards caused by excessive sagging. Simultaneously, the entire design was checked against relevant technical specifications and safety standards to ensure it met industry requirements, such as material strength, construction tolerance, and environmental impact assessment standards. Finally, a detailed performance report was generated based on the simulation results, comparing the changes in various indicators before and after optimization to confirm that all improvements effectively enhanced design performance and complied with all technical specifications and safety standards. If any substandard items are found, the design needs to be further adjusted until it fully meets the standards, thereby ensuring that the final design solution is not only efficient but also absolutely safe and reliable.

[0099] This embodiment also provides a computer device applicable to the two-dimensional and three-dimensional linkage layout design method for transmission lines, including: a memory and a processor; the memory is used to store computer-executable instructions, and the processor is used to execute the computer-executable instructions to realize the two-dimensional and three-dimensional linkage layout design method for transmission lines as proposed in the above embodiment.

[0100] The computer device can be a terminal, comprising a processor, memory, communication interface, display screen, and input devices connected via a system bus. The processor provides computing and control capabilities. The memory includes non-volatile storage media and internal memory. The non-volatile storage media stores the operating system and computer programs. The internal memory provides an environment for the operation of the operating system and computer programs stored in the non-volatile storage media. The communication interface is used for wired or wireless communication with external terminals; wireless communication can be achieved through Wi-Fi, carrier networks, NFC (Near Field Communication), or other technologies. The display screen can be an LCD screen or an e-ink screen. The input devices can be a touch layer covering the display screen, buttons, a trackball, or a touchpad on the computer device's casing, or an external keyboard, touchpad, or mouse.

[0101] This embodiment also provides a storage medium storing a computer program. When executed by a processor, the program implements the two-dimensional linkage layout design method for transmission lines as proposed in the above embodiments. The storage medium can be implemented by any type of volatile or non-volatile storage device or a combination thereof, such as Static Random Access Memory (SRAM), Electrically Erasable Programmable Read-Only Memory (EEPROM), Erasable Programmable Read Only Memory (EPROM), Programmable Red-Only Memory (PROM), Read-Only Memory (ROM), magnetic storage, flash memory, magnetic disk, or optical disk.

[0102] In summary, this invention achieves automated construction of high-precision three-dimensional terrain models by combining GIS and machine learning algorithms to automatically identify and integrate features in multi-dimensional environmental datasets. This not only improves data processing efficiency but also significantly enhances the accuracy of the terrain model. Furthermore, by introducing real-time meteorological data to dynamically adjust key parameters and combining the catenary equation and finite element analysis to establish a physical model of the transmission line, accurate simulation of conductors under complex external loads is achieved.

[0103] It should be noted that the above embodiments are only used to illustrate the technical solutions of the present invention and are not intended to limit it. Although the present invention has been described in detail with reference to preferred embodiments, those skilled in the art should understand that modifications or equivalent substitutions can be made to the technical solutions of the present invention without departing from the spirit and scope of the technical solutions of the present invention, and all such modifications or substitutions should be covered within the scope of the claims of the present invention.

Claims

1. A two-dimensional and three-dimensional linkage layout design method for transmission lines, characterized in that: include, Comprehensive power line data is collected through satellite imagery, GIS, field measurements, and meteorological stations. The comprehensive power line data is preprocessed and a multidimensional environmental dataset is generated. Based on the generated multidimensional environmental dataset, combined with GIS and machine learning algorithms, the features in the multidimensional environmental dataset are automatically identified and integrated to construct a high-precision three-dimensional terrain model that reflects the actual situation. Based on a high-precision 3D terrain model, real-time meteorological data for the current area is obtained by connecting to a meteorological service API, and key parameters are automatically adjusted according to the real-time meteorological data. The specific steps are as follows. Call the RESful interface of the meteorological service API to obtain real-time meteorological data for the current area; Real-time meteorological data is spatiotemporally aligned with grid points of a high-precision 3D terrain model to generate a meteorological feature matrix; Based on the meteorological feature matrix, the spatial location of the conductor suspension point is dynamically matched, and key parameters in the transmission line design are automatically adjusted through simulation analysis. The key parameters include conductor tension, sag, safety factor, temperature compensation, and wind load effect. By adjusting the key parameters, a physical model of the transmission line was established on a high-precision 3D terrain model using the catenary equation and finite element analysis. The boundary element method was used to solve the physical model, and bilinear interpolation was used for optimization to generate 2D and 3D simulation results. The specific steps are as follows. Based on the adjusted key parameters, the coordinates of the traverse suspension points in the high-precision three-dimensional terrain model are input into the catenary equation to calculate the spatial shape of the traverse under its own weight and external loads. The calculated spatial state of the conductor is combined with a high-precision three-dimensional terrain model to generate the basic physical model of the transmission line. The basic physical model is discretized into a finite element mesh, and wind speed, temperature compensation, and conductor tension boundary values ​​are loaded. The physical model of the transmission line is constructed through finite element analysis. The physical model is solved based on the boundary element method. The boundary element method transforms the physical problem into an integral equation on the boundary, and solves for the stress distribution and displacement field of the conductor at different locations. The stress distribution and displacement field obtained by the boundary element method are optimized by using a bilinear interpolation algorithm. By selecting vertices within the mesh element and performing interpolation calculations based on the data of adjacent points, the gaps in stress and displacement data are filled. The stress-displacement data includes supplementary stress and displacement values ​​in uncalculated and sparse regions of the grid; Based on the optimized stress-displacement data, ANSYS tools were used to render and generate two-dimensional and three-dimensional simulation results. Based on the generated simulation results, the physical model of the transmission line is comprehensively evaluated and optimized.

2. The two-dimensional and three-dimensional linkage layout design method for transmission lines as described in claim 1, characterized in that: The comprehensive power line data includes topographic and geographic information data, conductor suspension point coordinates, vegetation cover data, and meteorological data. The preprocessing includes data cleaning, format unification, coordinate system transformation, and data integration, and generates a multidimensional environmental dataset.

3. The two-dimensional and three-dimensional linkage layout design method for transmission lines as described in claim 2, characterized in that: Based on the generated multidimensional environmental dataset, and combining GIS and machine learning algorithms, the features in the multidimensional environmental dataset are automatically identified and integrated. The specific steps are as follows. Based on the generated multidimensional environmental dataset, the elevation points, slopes and terrain surface morphology of the transmission line path are extracted through the GIS spatial analysis engine, and a standardized geographic feature dataset is generated. The generated standardized geographic feature dataset is input into the CNN to perform pixel-level recognition of the direction of the guide wire, the location of the tower base, and the outline of the obstacle in the satellite image, generating a set of feature vectors with spatial coordinates.

4. The two-dimensional and three-dimensional linkage layout design method for transmission lines as described in claim 3, characterized in that: The specific steps for constructing a high-precision 3D terrain model that reflects the actual situation are as follows. Spatial matching is performed between the feature vector set with spatial coordinates and the field measurement elevation data in the multidimensional environment dataset, and an initial three-dimensional terrain network model is generated through spatial triangulation. Based on the generated initial 3D terrain network model, grid points of a high-precision 3D terrain model are generated using regular grid interpolation. The grid points of the high-precision 3D terrain model are fused with the coordinates of the traverse suspension points measured in the field, and the terrain surface morphology is adjusted by optimizing the corrected point cloud distribution to generate a high-precision 3D terrain model.

5. The two-dimensional and three-dimensional linkage layout design method for transmission lines as described in claim 4, characterized in that: Based on the generated simulation results, a comprehensive evaluation and optimization of the physical model of the transmission line is performed. The specific steps are as follows: Collision verification is performed based on the generated simulation results to check the minimum safe distance between the wires and other structures. Stress verification is performed based on the generated simulation results to evaluate the maximum stress of conductors and towers under various load conditions. Based on the evaluation results, the physical model of the transmission line was optimized.

6. A computer device comprising a memory and a processor, wherein the memory stores a computer program, characterized in that: When the processor executes the computer program, it implements the steps of the two- or three-dimensional linkage layout design method for transmission lines as described in any one of claims 1 to 5.

7. A computer-readable storage medium having a computer program stored thereon, characterized in that: When the computer program is executed by the processor, it implements the steps of the two- or three-dimensional linkage layout design method for transmission lines as described in any one of claims 1 to 5.

Images