Two-dimensional and three-dimensional linkage ranking design method for power transmission line

Abstract

The invention discloses a two-dimensional and three-dimensional linkage arrangement design method for a power transmission line, which relates to the technical field of power transmission line design and comprises the following steps: establishing a physical model of the power transmission line on a high-precision three-dimensional terrain model by adopting a catenary equation and finite element analysis through adjusted key parameters, solving the physical model by applying a boundary element method, and calculating the two-dimensional and three-dimensional linkage arrangement of the power transmission line. Optimizing by using a bilinear interpolation algorithm to generate a straight two-dimensional simulation result and a three-dimensional simulation result; and comprehensively evaluating and optimizing the physical model of the power transmission line based on the generated simulation result. The features in the multi-dimensional environment data set are automatically recognized and integrated by combining the GIS and the machine learning algorithm, automatic construction of the high-precision three-dimensional terrain model is achieved, the data processing efficiency is improved, and the precision of the terrain model is remarkably improved.

Description

Technical Field

[0001] The invention relates to the technical field of power transmission line design, in particular to a two-dimensional and three-dimensional linkage ranking design method for power transmission lines. Background Art

[0002] In recent years, with the rapid growth of electricity demand and the continuous expansion of the transmission network, higher requirements have been placed on the design accuracy and reliability of transmission lines. Traditional transmission line design methods mainly rely on two-dimensional plane maps and limited empirical data. This method has obvious deficiencies in accuracy when dealing with complex terrain, changing meteorological conditions, and multiple factors. In order to improve design efficiency and accuracy, researchers have gradually introduced advanced technical means such as satellite images, GIS, and field measurement data, and combined machine learning algorithms for data analysis and model construction.

[0003] Specifically, current technologies are insufficient in processing the integration of multi-source heterogeneous data. Although modern GIS can provide rich terrain and geographic information data, it is still challenging to effectively integrate these data with other types of data to form a unified and high-precision three-dimensional terrain model. In addition, when considering the impact of external loads on the wire morphology, existing methods usually use static models or simplified assumptions, which makes it difficult to accurately simulate the dynamic behavior of the wire in actual operation. Summary of the invention

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

[0005] Therefore, the present invention provides a two- and three-dimensional linkage ranking 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] In order to solve the above technical problems, the present invention provides the following technical solutions: In the first aspect, the present invention provides a two- and three-dimensional linkage ranking design method for transmission lines, which includes collecting comprehensive power line data through satellite images, GIS, on-site measurements and meteorological stations, preprocessing the comprehensive power line data, and generating a multidimensional environmental data set; based on the generated multidimensional environmental data set, combining GIS and machine learning algorithms, automatically identifying and integrating the features in the multidimensional environmental data set, and constructing a high-precision three-dimensional terrain model reflecting the actual conditions; 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, using the catenary equation and finite element analysis to establish a physical model of the transmission line on the high-precision three-dimensional terrain model, using the boundary element method to solve the physical model, and using a bilinear interpolation algorithm to optimize, generating two-dimensional and three-dimensional simulation results; based on the generated simulation results, comprehensively evaluating and optimizing the physical model of the transmission line.

[0007] As a preferred solution of the two-dimensional and three-dimensional linkage ranking design method of the power transmission line of the present invention, wherein: the comprehensive power line data includes terrain and geographic information data, conductor suspension point coordinates, vegetation coverage data and meteorological data; The preprocessing includes data cleaning, format unification, coordinate system conversion and data integration, and generates a multidimensional environmental data set.

[0008] As a preferred solution of the two-dimensional and three-dimensional linkage ranking design method of the transmission line of the present invention, the generated multidimensional environmental data set is combined with GIS and machine learning algorithms to automatically identify and integrate the features in the multidimensional environmental data set. The specific steps are as follows: Based on the generated multi-dimensional environmental dataset, the GIS spatial analysis engine is used to extract the elevation points, slopes and terrain surface morphology of the transmission line path, and a standardized geographic feature dataset is generated; The generated standardized geographic feature dataset is input into CNN to perform pixel-level recognition on the wire direction, tower base location and obstacle outline in the satellite image, and generate a collection of feature vectors with spatial coordinates.

[0009] As a preferred solution of the two-dimensional and three-dimensional linkage ranking design method for power transmission lines of the present invention, the specific steps of constructing a high-precision three-dimensional terrain model reflecting the actual conditions are as follows: Based on spatial matching of feature vector collections with spatial coordinates and field-measured elevation data in multidimensional environmental datasets, an initial three-dimensional terrain network model is generated through spatial triangulation. Based on the generated initial three-dimensional terrain network model, the grid points of the high-precision three-dimensional terrain model are generated by regular grid interpolation method; The grid points of the high-precision three-dimensional terrain model are fused with the coordinates of the wire suspension points measured on site, and the terrain surface morphology is adjusted by optimizing the corrected point cloud distribution to generate a high-precision three-dimensional terrain model.

[0010] As a preferred solution of the two-dimensional and three-dimensional linkage ranking design method of the transmission line of the present invention, wherein: based on the high-precision three-dimensional terrain model, the real-time meteorological data of the current area is obtained by connecting to the meteorological service API, and the key parameters are automatically adjusted according to the real-time meteorological data. The specific steps are as follows: Call the RESful interface of the weather service API to obtain real-time weather data for the current area; The real-time meteorological data is spatially and temporally aligned with the grid points of the high-precision three-dimensional terrain model to generate a meteorological feature matrix; Based on the meteorological characteristic matrix, the spatial position of the conductor suspension point is dynamically matched, and the key parameters in the transmission line design are automatically adjusted through simulation analysis.

[0011] The key parameters include conductor tension, sag, safety factor, temperature compensation and wind load effects.

[0012] As a preferred solution of the two-dimensional and three-dimensional linkage ranking design method of the transmission line of the present invention, wherein: the physical model of the transmission line is established on the high-precision three-dimensional terrain model by using the catenary equation and finite element analysis through the adjusted key parameters, and the specific steps are as follows: Based on the adjusted key parameters, the coordinates of the wire suspension points in the high-precision three-dimensional terrain model are input into the catenary equation to calculate the spatial shape of the wire under its own weight and external loads.

[0013] The calculated conductor spatial state is combined with a high-precision three-dimensional terrain model to generate a basic physical model of the transmission line; The basic physical model is discretized into a finite element grid, 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.

[0014] As a preferred solution of the two-dimensional and three-dimensional linkage ranking design method for transmission lines of the present invention, wherein: The boundary element method is used to solve the physical model, and the bilinear interpolation algorithm is used for optimization to generate two-dimensional and three-dimensional simulation results. The specific steps are as follows: The physical model is solved based on the boundary element method. The boundary element method solves the stress distribution and displacement field of the wire at different positions by converting the physical problem into an integral equation on the boundary.

[0015] The stress distribution and displacement field obtained by boundary element are optimized by using bilinear interpolation algorithm, and the gaps in stress and displacement data are filled by selecting vertices in the grid unit and performing interpolation calculation based on the data of adjacent points; The stress-displacement data include supplementary stress and displacement values ​​in uncalculated and data-sparse areas of the grid; Based on the optimized stress-displacement data, ANSYS tools are used to render and generate two-dimensional and three-dimensional simulation results.

[0016] As a preferred solution of the two-dimensional and three-dimensional linkage ranking design method for transmission lines of the present invention, wherein: Based on the generated simulation results, the physical model of the transmission line is comprehensively evaluated and optimized. The specific steps are as follows: Perform collision checks based on the generated simulation results to check the minimum safe distance between the wires and other structures; Perform stress checks based on the generated simulation results to evaluate the maximum stress of conductors and towers under various loading conditions; Based on the evaluation results, the physical model of the transmission line is optimized.

[0017] In a second aspect, the present invention provides a computer device comprising a memory and a processor, wherein the memory stores a computer program, wherein: when the computer program is executed by the processor, any step of the two- and three-dimensional linkage ranking design method for transmission lines as described in the first aspect of the present invention is implemented.

[0018] In a third aspect, 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, any step of the two- and three-dimensional linkage ranking design method for transmission lines as described in the first aspect of the present invention is implemented.

[0019] The beneficial effects of the present invention are as follows: by combining GIS and machine learning algorithms to automatically identify and integrate the features in multidimensional environmental data sets, the automatic construction of high-precision three-dimensional terrain models is realized, which not only improves the efficiency of data processing, but also significantly improves the accuracy of terrain models. Furthermore, by introducing real-time meteorological data to dynamically adjust key parameters, and combining catenary equations and finite element analysis to establish a physical model of the transmission line, accurate simulation of the conductor under complex external loads is achieved. BRIEF DESCRIPTION OF THE DRAWINGS

[0020] In order to more clearly illustrate the technical solutions of the embodiments of the present invention, the accompanying drawings required for use in the description of the embodiments will be briefly introduced below. Obviously, the accompanying drawings described below are only some embodiments of the present invention. For ordinary technicians in this field, other accompanying drawings can be obtained based on these accompanying drawings without paying creative work.

[0021] Figure 1 This is a flow chart of the two- and three-dimensional linkage ranking design method for transmission lines in Example 1.

[0022] Figure 2 The figure is a detailed flow chart of data collection and preprocessing for the two-dimensional and three-dimensional linkage ranking design method for transmission lines in Example 1.

[0023] Figure 3 This is a flow chart of three-dimensional terrain modeling and parameter adjustment of the two- and three-dimensional linkage ranking design method for transmission lines in Example 1.

[0024] Figure 4 This is a flow chart of mechanical modeling and simulation optimization of the two- and three-dimensional linkage ranking design method for transmission lines in Example 1. DETAILED DESCRIPTION

[0025] In order to make the above-mentioned objects, features and advantages of the present invention more obvious and easy to understand, the specific implementation methods of the present invention are described in detail below in conjunction with the accompanying drawings.

[0026] In the following description, many specific details are set forth to facilitate a full understanding of the present invention, but the present invention may also be implemented in other ways different from those described herein, and those skilled in the art may make similar generalizations without violating the connotation of the present invention. Therefore, the present invention is not limited to the specific embodiments disclosed below.

[0027] 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 term "in one embodiment" that appears in different places in this specification does not necessarily refer to the same embodiment, nor does it refer to a separate or selective embodiment that is mutually exclusive with other embodiments.

[0028] Example 1, reference Figures 1 to 4 , which is the first embodiment of the present invention, provides a two-dimensional and three-dimensional linkage ranking design method for transmission lines, comprising the following steps: S1: Collect comprehensive power line data through satellite images, GIS, field measurements and meteorological stations, pre-process the comprehensive power line data, and generate a multidimensional environmental data set.

[0029] S1.1: Comprehensive power line data including terrain and geographic information data, conductor suspension point coordinates, vegetation cover data and meteorological data.

[0030] The multi-dimensional environmental data set includes terrain information, land use, building height, vegetation coverage, and historical and real-time meteorological conditions.

[0031] Furthermore, first of all, it is necessary to collect terrain and geographic information data, which includes the use of GIS to obtain detailed topography, geological conditions and other information about the areas through which the power lines pass, to provide a basic basis for line planning. Next, determining the coordinates of the wire suspension points is a key step. The specific location coordinates of each suspension point are determined through precise measurement and calculation to ensure that the power lines can be safely erected along the predetermined path. At the same time, the acquisition of vegetation coverage data is also indispensable. Satellite images or drone aerial photography are used to analyze the distribution of vegetation along the line and assess its possible impact on the power lines, such as safety hazards that may be caused by excessive growth of trees. Finally, considering the impact of meteorological conditions on the operation of power lines, it is necessary to collect and analyze relevant meteorological data, including but not limited to wind speed, temperature, snowfall and other factors, to predict the safety and stability of power lines under extreme weather conditions.

[0032] S1.2: Preprocessing includes data cleaning, format unification, coordinate system conversion and data integration.

[0033] Furthermore, perform data preprocessing on the collected comprehensive electric circuit data, including cleaning the data to eliminate errors and inconsistencies, unifying the formats of all data for easy management and analysis, converting the coordinate system to ensure the accuracy of geographical locations, and finally integrating data from different sources such as satellite image analysis results, on-site measurement data, and meteorological information to form a complete and consistent electric circuit database, providing reliable support for subsequent analysis and applications.

[0034] S2: Based on the generated multi-dimensional environmental dataset, combine GIS and machine learning algorithms to automatically identify and integrate the features in the multi-dimensional environmental dataset, and construct a high-precision three-dimensional terrain model reflecting the actual situation on the ground.

[0035] S2.1: Based on the generated multi-dimensional environmental dataset, extract the elevation points, slopes, and terrain surface morphology of the transmission line path through the GIS spatial analysis engine, and generate a standardized geographical feature dataset.

[0036] It should be noted that based on the generated multi-dimensional environmental dataset, first use the GIS spatial analysis engine to load the dataset to prepare for extracting the geographical information related to the transmission line path. Then, through the elevation analysis function in the GIS tool, accurately extract each elevation point on the transmission line path, and these points reflect the height changes of the terrain along the line. Then, further process these elevation points to calculate the slopes of each section on the path to understand the inclination degree of the line in different sections, which is crucial for evaluating the construction difficulty and stability. At the same time, use digital terrain model (DTM) or digital surface model (DSM) analysis technology to depict the terrain surface morphology of the area covered by the transmission line path, including the influence of mountains, rivers, and other surface features. Finally, generate a standardized geographical feature dataset from these extracted and analyzed elevation points, slope information, and terrain surface morphology.

[0037] S2.2: Input the generated standardized geographical feature dataset into the CNN to perform pixel-level recognition of the conductor orientation, tower base location, and obstacle contours in the satellite image, and generate a collection of feature vectors with spatial coordinates.

[0038] Furthermore, taking the generated standardized geographical feature dataset as input, first register it with the corresponding satellite image through a preprocessing step to ensure the precise alignment of geographical features and image information. Next, utilize the powerful feature extraction ability of CNN to conduct in-depth analysis of the registered satellite image to achieve pixel-level recognition of the conductor orientation, tower base location, and obstacle contour. During this process, CNN will automatically learn and identify complex patterns and features related to the transmission line in the image, including thin conductors and tower bases of different shapes and sizes. For each identified key element, generate corresponding spatial coordinates according to its position in the image. Finally, combine the spatial coordinates of all identified elements with their feature descriptions to form a collection of feature vectors with spatial coordinates. This collection not only details the conductor orientation and tower base location but also accurately depicts the obstacle contour that may affect the safe operation of the transmission line.

[0039] S2.3: Perform spatial matching between the collection of feature vectors with spatial coordinates and the on-site measured elevation data in the multi-dimensional environmental dataset, and generate an initial three-dimensional terrain network model through spatial triangulation.

[0040] Furthermore, based on the collection of feature vectors with spatial coordinates, first perform precise spatial matching between it and the on-site measured elevation data in the multi-dimensional environmental dataset. This process involves combining the position information of elements such as conductors, tower bases, and obstacles identified in the collection of feature vectors with the elevation data of the actual terrain to ensure that each element can be accurately mapped to its three-dimensional coordinate position in the real world. After completing the spatial matching, next adopt the spatial triangulation technique, which is a method of approximating complex shapes through a series of non-overlapping triangles. In this step, use the previously matched spatial coordinate points as vertices to construct a triangular mesh covering the entire study area. These triangles can effectively simulate the changes in the terrain surface and generate an initial three-dimensional terrain network model. This model not only faithfully reflects the terrain undulation on the ground but also precisely incorporates the key elements of the transmission line, providing a solid three-dimensional basic framework for subsequent engineering design and safety assessment.

[0041] S2.4: Based on the generated initial three-dimensional terrain network model, generate grid points of a high-precision three-dimensional terrain model through the regular grid interpolation method; It should be noted that based on the generated initial three-dimensional terrain network model, the areas that need to be refined and have their accuracy improved are first determined to prepare for the subsequent steps. Then, the 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 meshes in the initial model. Specifically, according to the existing spatial coordinates and elevation information in the initial three-dimensional terrain network model, equally spaced grid points are divided within each triangular element. The elevation values of these new grid points are calculated by weighted averaging the elevation values of the 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, and finally a high-precision three-dimensional terrain model with a higher density of grid points is generated.

[0042] S3: Based on the high-precision three-dimensional terrain model, obtain the real-time meteorological data of the current area by connecting to the meteorological service API, and automatically adjust the key parameters according to the real-time meteorological data.

[0043] S3.1: Call the RESful interface of the meteorological service API to obtain the real-time meteorological data of the current area.

[0044] Furthermore, to obtain the real-time meteorological data of the current area, it is first necessary to determine the meteorological service API to be used and consult its documentation to understand the specific call methods and required parameters of the RESTful interface, such as area coordinates or names, types of meteorological data required, etc. Then, construct an HTTP request in the code, embed these parameters into the request URL or request body, and set appropriate request headers according to the requirements of the API, such as authentication tokens or API keys, to ensure the legality of the request. Then, send a GET or POST request to the specified endpoint of the meteorological service API through the network library. Once the request is successfully processed, the server will return a response containing the real-time meteorological data in a predefined format (such as JSON or XML). Finally, parse the response content, extract key meteorological information such as temperature, humidity, and wind speed, and apply it to specific scenarios, such as adjusting the design scheme of the power line or evaluating the operation risk.

[0045] S3.2: Align the real-time meteorological data with the grid points of the high-precision three-dimensional terrain model in space and time to generate a meteorological feature matrix.

[0046] It should be noted that, first, the obtained real-time meteorological data is parsed and preprocessed to extract meteorological parameters related to the high-precision three-dimensional terrain model, such as temperature, humidity, wind speed, etc., and ensure that these data are sorted according to the time stamp for subsequent alignment operations. Next, based on the grid point coordinate information of the high-precision three-dimensional terrain model, the geographical location corresponding to each grid point is determined. Then, using the spatial interpolation method of GIS, according to the spatial distribution characteristics of the real-time meteorological data, the meteorological parameter values at each grid point are calculated to achieve spatial matching of the meteorological data on the three-dimensional terrain model. In this process, the time resolution of the meteorological data needs to be considered to ensure that the meteorological data closest to the current time is selected to ensure timeliness and complete spatio-temporal alignment. Finally, all the meteorological parameter values corresponding to each grid point are organized into a matrix form to generate a meteorological feature matrix, which not only contains the three-dimensional structure information of the terrain but also integrates the latest meteorological conditions.

[0047] S3.3: Based on the meteorological feature matrix, dynamically match the spatial positions of the conductor suspension points, and automatically adjust the key parameters in the transmission line design through simulation analysis.

[0048] Furthermore, based on the meteorological feature matrix, first, the meteorological parameters in it are dynamically matched with the positions of the conductor suspension points in the high-precision three-dimensional terrain model to ensure that each suspension point can be associated with the latest meteorological conditions at its location, such as wind speed, temperature, etc. Next, use simulation software to model the transmission line, input a dataset containing meteorological data and terrain information to simulate the behavior characteristics of the conductor under different meteorological conditions. During the simulation process, according to the detailed data provided by the meteorological feature matrix, automatically adjust the key parameters affecting the transmission line design, such as the tension of the conductor, the design strength of the tower foundation, and the selection of insulators, etc., to adapt to various possible extreme weather conditions. Through multiple iterative simulation analyses, evaluate the performance of different design schemes under severe meteorological conditions, find the optimal design scheme, and ensure that the transmission line can not only operate stably under the current meteorological conditions but also have sufficient safety margins to cope with future climate changes.

[0049] S3.4: The key parameters include conductor tension, sag, safety factor, temperature compensation, and wind load effect.

[0050] It should be noted that first, the spatial positions of the wire suspension points are dynamically matched to ensure that each suspension point can be accurately associated with the real-time meteorological conditions at its location. Then, these meteorological data and terrain information are input into the simulation software to start simulating the behavioral characteristics of the transmission line under different meteorological conditions. During the simulation process, for the wire tension, the tension value is automatically adjusted according to the changes in wind speed and temperature to maintain the stability of the wire; for the sag adjustment, the elongation or shortening of the wire caused by temperature changes is calculated based on the temperature compensation mechanism, and then the sag design is optimized to ensure the safety distance. At the same time, considering the safety factor, by comprehensively analyzing the relationship between meteorological loads (such as wind load effects) and the structural bearing capacity, the design standards of key parts are appropriately improved to enhance the overall safety. When evaluating the wind load effect, the detailed wind speed and wind direction data provided by the meteorological characteristic matrix are used to simulate the influence of winds with different intensities and directions on the transmission line, optimize the design parameters of the tower foundation and the wire, and reduce the risk of wind-induced vibration and fatigue damage. Through the automatic adjustment of key parameters such as wire tension, sag, safety factor, temperature compensation, and wind load effect, the entire process realizes the refinement and intelligence of the transmission line design, ensuring its efficient and stable operation under complex and changeable meteorological conditions.

[0051] S4: Using the adjusted key parameters, a physical model of the transmission line is established on a high-precision three-dimensional terrain model by using the catenary equation and finite element analysis. The boundary element method is used to solve the physical model, and the bilinear interpolation algorithm is used for optimization to generate two-dimensional and three-dimensional simulation results.

[0052] S4.1: Based on the adjusted key parameters, the coordinates of the wire suspension points in the high-precision three-dimensional terrain model are input into the catenary equation to calculate the spatial shape of the wire under its own weight and external loads. The specific expression is:

[0053] where, represents the vertical coordinate of the wire at the horizontal distance , represents the initial tension of the wire, represents the weight per unit length of the wire, represents the hyperbolic cosine function, represents the horizontal position coordinate along the wire path, represents the horizontal position coordinate of the midpoint of the suspension points, represents the horizontal coordinate of the hanging point at one end of the wire, represents the external load per unit length, represents the arc length coordinate along the wire path, represents the position in the wire length direction , is the constant of integration.

[0054] It should be noted that based on the adjusted key parameters, the coordinates of each conductor suspension point in the high-precision three-dimensional terrain model are first extracted, and the input data required for the catenary equation are prepared, including but not limited to the adjusted conductor tension, sag, temperature compensation coefficient, and external loads such as wind load. Then, for each pair of suspension points, the catenary equation is applied to calculate the spatial form of the conductor under the combined action of deadweight and external loads based on its spatial coordinates and the corresponding adjusted parameters. In this process, the actual state of the conductor is accurately simulated by taking into account the changes in parameters under different meteorological conditions, such as the thermal expansion and contraction effect caused by temperature and the additional stress caused by wind load. Through iterative calculations, the actual form of the conductor under these conditions is gradually approached to ensure that the calculation results can accurately reflect the actual situation. Finally, all the calculated conductor position points are connected to form a complete and accurate curve that describes 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 the design life.

[0055] S4.2: Combine the calculated conductor spatial state with the high-precision three-dimensional terrain model to generate a basic physical model of the transmission line.

[0056] Furthermore, the calculated spatial state of the conductor is combined with the high-precision three-dimensional terrain model. First, the coordinates of the two need to be consistent in order to achieve accurate spatial alignment. Next, the position data of each point of the conductor calculated by the catenary equation is imported into the three-dimensional model containing terrain information. In this process, the spatial morphological data of the conductor is mapped point by point to the corresponding position of the terrain model using GIS tools or professional power line design software, so that the conductor is not only suspended between the correct tower bases, but also accurately reflects the sag changes caused by its own weight and external loads. At the same time, the environmental factors around the transmission line, such as vegetation coverage and building distribution, are taken into account to further improve the detailed information in the model. After completing the data fusion, a comprehensive basic physical model of the transmission line is generated. This model not only clearly shows the actual direction and shape of the conductor in three-dimensional space, but also includes environmental features such as terrain and objects along the line.

[0057] S4.3: Discretize the basic physical model into a finite element mesh, load the wind speed, temperature compensation and conductor tension boundary values, and construct the physical model of the transmission line through finite element analysis.

[0058] It should be noted that, first of all, 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 unit meshes to ensure that each unit can accurately reflect the physical characteristics of the local area. Then, the material properties and boundary conditions are defined in each cell. Especially for the conductor part, key parameters such as the calculated wind speed, temperature compensation, and adjusted conductor tension are loaded as boundary values. At this stage, corresponding external loads are applied to each unit according to different meteorological conditions. For example, the wind load acts on the surface of the conductor according to the direction and intensity of the wind speed, and the temperature compensation affects the thermal expansion and contraction behavior of the conductor. Then, the finite element method is used for solving, and the responses of each unit under the given boundary conditions are analyzed through iterative calculations, including the changes in physical quantities such as stress, strain, and displacement, so as to simulate the behavior of the entire transmission line in the actual working environment.

[0059] S4.4: Solve the physical model based on the boundary element method. The boundary element method transforms the physical problem into an integral equation on the boundary and solves the stress distribution and displacement field of the conductor at different positions. The specific expression is: ; Among them, represents the response of the physical quantity in a certain specific direction, represents the direction of the applied physical quantity, represents the position vector of the observation point, represents at the observation point the corrected displacement component in the output direction, represents at the observation point the input direction of the displacement component, represents at the boundary point the input direction of the surface force component, represents the integral region of the boundary, represents at the source point when a unit surface force is applied, the displacement response generated at the observation point in the output direction , represents at the source point when a unit displacement is applied, the traction response generated at the observation point in the output direction , represents the position vector of the source point, represents at the input direction of the displacement component.

[0060] Furthermore, for example, in a two-dimensional elasticity problem, consider the displacement component at a certain point on the boundary (i.e., the displacement in the direction), and = 1, = 2. If is a smooth point on the boundary, then = 1. If is a corner point or an edge point on the boundary, then = 1 may be less than 1, depending on the geometric characteristics of the point.

[0061] It should be noted that, first of all, based on the established physical model of the transmission line, the key boundary conditions to be analyzed are identified, including factors such as the positions of the conductor suspension points, conductor tension, wind speed load, and temperature compensation. Then, using the boundary element method, the complex three-dimensional physical problem is simplified and transformed into an integral equation involving only the boundaries of the model. Specifically, for structures such as conductors and tower bases, the unknown variables on their boundaries, such as stress and displacement, are defined, and then corresponding integral equations are established on these boundaries according to physical laws and material properties. In this process, considering the specific meteorological conditions at different positions, such as changing wind speed and temperature, the input parameters are precisely adjusted to reflect the actual working environment. Subsequently, these integral equations are solved by numerical methods to calculate the stress distribution and displacement field of the conductor at different positions. The advantage of the boundary element method is that it only needs to discretize the boundary, thereby reducing the computational amount and improving the solution efficiency. Finally, based on the solution results, the behavior characteristics of the conductor under various external conditions can be analyzed in detail, providing data support for the optimized design to ensure the safe and stable operation of the transmission line in a complex and changing environment. The entire process from setting the boundary conditions to solving the stress distribution and displacement field demonstrates how to effectively analyze the actual working conditions of the transmission line using the boundary element method.

[0062] S4.5: Optimize the stress distribution and displacement field obtained by the boundary element by using the bilinear interpolation algorithm. Fill in the stress and displacement data gaps by selecting the vertices within the grid cells and performing interpolation calculations based on the data of adjacent points.

[0063] Furthermore, first, based on the stress distribution and displacement field data obtained by the boundary element method, data blank areas that need to be optimized are identified within the grid cells. These areas may have data missing or discontinuities due to discretization. Then, the vertices within each grid cell to be optimized are selected as interpolation nodes, and the known stress and displacement values at their adjacent points are collected. Next, the bilinear interpolation algorithm is applied. According to the spatial position relationship between the selected vertices and their adjacent points, the stress and displacement values at the points to be calculated are computed. Specifically, the algorithm first performs linear interpolation in two directions, estimating the value of the target point by combining the data of the four nearest neighbor points through weighted averaging, ensuring that the interpolation result can smoothly transition and accurately reflect the local change trend. Throughout the process, this interpolation step is repeated until all the data blanks in the grid cells are filled. Finally, through the bilinear interpolation method, not only the overall resolution and smoothness of the stress distribution and displacement field are improved, but also an optimized data basis is provided for more accurately evaluating the safety and stability of the transmission line structure, making the analysis results closer to the actual situation.

[0064] S4.6: Based on the optimized stress and displacement data, use the ANSYS tool to render two-dimensional and three-dimensional simulation results.

[0065] Furthermore, first, the stress and displacement data optimized by the bilinear interpolation algorithm are imported into ANSYS to ensure that all data are accurately mapped to the corresponding geometric model. Then, appropriate element types and material properties are selected in ANSYS to match the original physical model, and the corresponding finite element analysis model is established. Next, by setting appropriate boundary conditions and load cases, the stress state of the structure under actual working conditions is simulated. Then, the solver is run for calculation to obtain the detailed results of the stress distribution and displacement field. To generate a two-dimensional orthographic view, specific cross-sections or perspectives can be selected in the post-processing stage, and the stress nephogram and displacement vector diagram at this perspective can be directly rendered using the graphical tools provided by ANSYS to visually display the data characteristics of the key areas. For the three-dimensional simulation results, the view parameters need to be adjusted to observe the overall deformation form of the structure, stress concentration areas, and displacement change trends from different angles. At the same time, functions such as color mapping and transparency adjustment are used to enhance the expressiveness of the image, so as to obtain a clear and representative three-dimensional visualization effect.

[0066] S5: Based on the generated simulation results, comprehensively evaluate and optimize the physical model of the transmission line.

[0067] S5.1: Conduct collision verification based on the generated simulation results to check the minimum safety distance between the conductor and other structures; Furthermore, first, based on the generated 2D and 3D simulation results, start the collision verification function in ANSYS or other corresponding engineering analysis tools. This process begins with defining all the structural elements to be inspected, including conductors, tower bases, and other objects such as vegetation or buildings that may affect the safety distance. Then, set the standard value of the minimum safety distance, which is usually determined according to industry codes or specific project requirements. Next, use the geometric analysis tools in the software to accurately calculate the positions of the conductors under different working conditions and their distances from the surrounding structures. During this process, by dynamically simulating different meteorological conditions, observe the changes in the conductor positions and monitor the distances between them and the surrounding objects in real time. The software will automatically mark any potential collision points that are below the preset minimum safety distance. For these critical areas, further detailed local magnification analysis is carried out to ensure that no details are overlooked. Finally, summarize all the detected data and generate a report listing all the risky positions and their specific parameters, providing a basis for engineers to take necessary adjustment measures, such as modifying the design, adding support structures, or clearing obstacles, so as to ensure the safety and reliability of the transmission line throughout its life cycle.

[0068] S5.2: Conduct stress verification based on the generated simulation results to evaluate the maximum stress of the conductors and towers under various load conditions.

[0069] It should be noted that, first, based on the generated 2D and 3D simulation results, start the stress verification process in ANSYS. At the beginning, clarify all the key structural parts to be evaluated, including conductors and towers, and ensure that the property settings of these structures in the model are accurate, such as material properties, size specifications, and connection methods. Then, set different load conditions according to the actual working conditions, which include but are not limited to static loads, dynamic loads, thermal stresses caused by temperature changes, and other possible external factors. Next, use the built-in solver in the software to calculate the entire model and obtain the stress distribution of each part of the conductors and towers under various load conditions. Pay special attention to those areas that are expected to bear the maximum stress, such as key positions like conductor suspension points and tower connections. On this basis, compare the calculated maximum stress values with the allowable stress standards of the materials to evaluate whether they meet the safety requirements. If it is found that the maximum stress in some parts exceeds the safety threshold, further analysis and improvement measures need to be proposed, such as optimizing the design parameters or selecting higher-strength materials. Finally, summarize all the stress analysis data and generate a detailed report listing the stress states and their safety evaluations of each key part under different load conditions, providing solid data support for subsequent design adjustments and engineering decisions.

[0070] Furthermore, based on the evaluation results of stress verification and collision verification, first conduct a detailed review of the original design scheme to identify the key parts that need to be optimized. Regarding the conductor tension, according to the results of the maximum stress analysis, appropriately adjust the tension value to reduce the load in high-stress areas, while ensuring that the sag is not too large due to too small tension, which may affect the safety distance. For the tower height and location, it is necessary to comprehensively consider the stress distribution, terrain conditions, and the requirements for the minimum safety distance from surrounding structures. If the maximum stress in some areas exceeds the standard or there is a potential collision risk, the sag of the conductor can be reduced by increasing the tower height, or the position of the tower can be rearranged to avoid obstacles and optimize the stress distribution. The specific steps include: first, calculate the new tower position and height parameters, and use engineering simulation software to simulate the impact of these changes on the overall structure; then, compare the stress distribution maps and safety distance inspection results before and after optimization to ensure that the maximum stress at all key parts is within the allowable range of the material and meets the requirements of the minimum safety distance; then, further fine-tune the design parameters according to the simulation feedback until the optimal design scheme is found. Finally, organize the optimized design scheme into a document, record the adjustment content and its expected effects in detail, and prepare an implementation plan, including necessary on-site surveys and technical disclosures, to ensure that the design scheme can be successfully applied to the actual engineering construction, thereby improving the overall safety and economy of the transmission line.

[0071] S5.3: Optimize the physical model of the transmission line according to the evaluation results.

[0072] Furthermore, based on the optimized design scheme, first re-enter all the adjusted parameters, including the updated conductor tension value, the new height and position coordinates of the tower, etc., into the high-precision three-dimensional terrain model. Then, use professional software to conduct a comprehensive review of the updated model to ensure that each improvement measure is accurately reflected in the model and is precisely matched with the terrain and other structural elements. Then, run the stress verification and collision verification again through the simulation analysis tool to verify whether the optimization measures effectively reduce the maximum stress at the key parts and ensure sufficient safety distance. During this process, pay special attention to those adjusted design parts, such as whether the new tower position reduces the potential conflicts with other structures or ground vegetation, and whether the adjusted conductor tension reasonably controls the sag to avoid safety hazards caused by excessive sag. At the same time, check the entire design according to relevant technical specifications and safety standards to ensure that it meets industry requirements, such as standards for material strength, construction tolerance, and environmental impact assessment. Finally, generate a detailed performance report based on the simulation results, compare the changes in various indicators before and after optimization, confirm that all improvement measures effectively improve the design performance and meet all technical specifications and safety standards. If any non-compliant items are found, the design needs to be further adjusted until it is completely compliant, so as to ensure that the final design scheme is not only efficient but also absolutely safe and reliable.

[0073] This embodiment also provides a computer device, which is applicable to the case of the two-dimensional and three-dimensional linkage ranking design method for transmission lines, and includes: 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 implement the two-dimensional and three-dimensional linkage ranking design method for transmission lines proposed in the above embodiment.

[0074] The computer device may be a terminal. The computer device includes a processor, a memory, a communication interface, a display screen, and an input device connected through a system bus. Among them, the processor of the computer device is used to provide computing and control capabilities. The memory of the computer device includes a non-volatile storage medium and an internal memory. The non-volatile storage medium stores an operating system and a computer program. The internal memory provides an environment for the operation of the operating system and the computer program in the non-volatile storage medium. The communication interface of the computer device is used to communicate with an external terminal in a wired or wireless manner. The wireless manner can be implemented through WIFI, a carrier network, NFC (Near Field Communication), or other technologies. The display screen of the computer device may be a liquid crystal display screen or an electronic ink display screen. The input device of the computer device may be a touch layer covered on the display screen, or a button, a trackball, or a touchpad provided on the housing of the computer device, or an external keyboard, a touchpad, or a mouse, etc.

[0075] This embodiment also provides a storage medium, on which a computer program is stored. When the program is executed by a processor, it implements the two-dimensional and three-dimensional linkage ranking design method for transmission lines proposed in the above embodiment; 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 (abbreviated as SRAM), electrically erasable programmable read-only memory (abbreviated as EEPROM), erasable programmable read-only memory (abbreviated as EPROM), programmable read-only memory (abbreviated as PROM), read-only memory (abbreviated as ROM), magnetic memory, flash memory, a magnetic disk, or an optical disc.

[0076] In summary, the present invention realizes the automatic construction of a high-precision three-dimensional terrain model by automatically identifying and integrating features in a multi-dimensional environmental dataset through the combination of GIS and machine learning algorithms, which not only improves the efficiency of data processing but also significantly enhances the accuracy of the terrain model. Further, by introducing real-time meteorological data to dynamically adjust key parameters and establishing a physical model of the transmission line in combination with the catenary equation and finite element analysis, the accurate simulation of the conductor under complex external loads is achieved.

[0077] It should be noted that the above embodiments are only used to illustrate the technical solutions of the present invention and not to limit them. Although the present invention has been described in detail with reference to the preferred embodiments, those of ordinary skill in the art should understand that the technical solutions of the present invention can be modified or equivalently replaced without departing from the spirit and scope of the technical solutions of the present invention, and they should all be covered within the scope of the claims of the present invention.

Claims

1. A two - three - dimensional linkage ranking design method for transmission lines, characterized in that: Including Collect comprehensive electric line data through satellite images, GIS, on-site measurements, and weather stations, preprocess the comprehensive electric line data, and generate a multi-dimensional environmental dataset; Based on the generated multi-dimensional environmental dataset, combine GIS and machine learning algorithms to automatically identify and integrate the features in the multi-dimensional environmental dataset, and construct a high-precision three-dimensional terrain model reflecting the actual situation on the ground; Based on the high-precision three-dimensional terrain model, obtain real-time meteorological data of the current area by connecting to the meteorological service API, and automatically adjust key parameters according to the real-time meteorological data; With the adjusted key parameters, use the catenary equation and finite element analysis to establish a physical model of the transmission line on the high-precision three-dimensional terrain model, solve the physical model using the boundary element method, and optimize it using the bilinear interpolation algorithm to generate two-dimensional and three-dimensional simulation results; Based on the generated simulation results, comprehensively evaluate and optimize the physical model of the transmission line.

2. The two-dimensional and three-dimensional linkage ranking design method for transmission lines according to claim 1, characterized in that: The comprehensive electric line data includes terrain and geographic information data, conductor suspension point coordinates, vegetation coverage data, and meteorological data; The preprocessing includes data cleaning, format unification, coordinate system conversion, and data integration, and generates a multi-dimensional environmental dataset.

3. The two-dimensional and three-dimensional linkage ranking design method for transmission lines according to claim 2, wherein: Based on the generated multi-dimensional environmental dataset, combine GIS and machine learning algorithms to automatically identify and integrate the features in the multi-dimensional environmental dataset. The specific steps are as follows Based on the generated multi-dimensional environmental dataset, use the GIS spatial analysis engine to extract elevation points, slopes, and terrain surface morphologies of the transmission line path, and generate a standardized geographic feature dataset; Input the generated standardized geographic feature dataset into the CNN to perform pixel-level recognition of the conductor orientation, tower base location, and obstacle contours in the satellite image, and generate a collection of feature vectors with spatial coordinates.

4. The 3D-2D linked layout design method for transmission lines according to claim 3, characterized in that: The specific steps for constructing a high-precision three-dimensional terrain model reflecting the actual situation on the ground are as follows Perform spatial matching based on the collection of feature vectors with spatial coordinates and the on-site measured elevation data in the multi-dimensional environmental dataset, and generate an initial three-dimensional terrain network model through spatial triangulation; Based on the generated initial three-dimensional terrain network model, generate grid points of the high-precision three-dimensional terrain model through the regular grid interpolation method; Fuse the grid points of the high-precision three-dimensional terrain model with the on-site measured conductor suspension point coordinates, and adjust the terrain surface morphology by optimizing the corrected point cloud distribution to generate a high-precision three-dimensional terrain model.

5. The three-dimensional linkage layout design method for transmission lines according to claim 4, characterized in that: Based on the high-precision three-dimensional terrain model, obtain real-time meteorological data of the current area by connecting to the meteorological service API, and automatically adjust key parameters 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 of the current area; Perform spatio-temporal alignment of the real-time meteorological data with the grid points of the high-precision three-dimensional terrain model to generate a meteorological feature matrix; Based on the meteorological feature matrix, dynamically match the spatial positions of the conductor suspension points, and automatically adjust the key parameters in the transmission line design through simulation analysis; The key parameters include conductor tension, sag, safety factor, temperature compensation, and wind load effect.

6. The three-dimensional linkage ranking design method for transmission lines according to claim 5, wherein: The physical model of the transmission line is established by using the catenary equation and finite element analysis on the high-precision three-dimensional terrain model through the adjusted key parameters. The specific steps are as follows: Based on the adjusted key parameters, the coordinates of the wire suspension points in the high-precision three-dimensional terrain model are input into the catenary equation to calculate the spatial shape of the wire under its own weight and external loads; The calculated conductor spatial state is combined with a high-precision three-dimensional terrain model to generate a basic physical model of the transmission line; The basic physical model is discretized into a finite element grid, 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.

7. The three-dimensional and two-dimensional linkage layout design method for transmission lines according to claim 6, characterized in that: The boundary element method is used to solve the physical model, and the bilinear interpolation algorithm is used for optimization to generate two-dimensional and three-dimensional simulation results. The specific steps are as follows: The physical model is solved based on the boundary element method. The boundary element method converts the physical problem into an integral equation on the boundary to solve the stress distribution and displacement field of the wire at different positions. The stress distribution and displacement field obtained by boundary element are optimized by using bilinear interpolation algorithm, and the gaps in stress and displacement data are filled by selecting vertices in the grid unit and performing interpolation calculation based on the data of adjacent points; The stress-displacement data include supplementary stress and displacement values ​​in uncalculated and data-sparse areas of the grid; Based on the optimized stress-displacement data, ANSYS tools are used to render and generate two-dimensional and three-dimensional simulation results.

8. The transmission line two-dimensional and three-dimensional linkage ranking design method according to claim 7, wherein: Based on the generated simulation results, the physical model of the transmission line is comprehensively evaluated and optimized. The specific steps are as follows: Perform collision checks based on the generated simulation results to check the minimum safe distance between the wires and other structures; Perform stress checks based on the generated simulation results to evaluate the maximum stress of conductors and towers under various loading conditions; Based on the evaluation results, the physical model of the transmission line is optimized.

9. A computer device, comprising a memory and a processor, the memory storing a computer program, characterized in that: When the processor executes the computer program, the steps of the two-dimensional and three-dimensional linkage ranking design method for transmission lines described in any one of claims 1 to 8 are implemented.

10. A computer-readable storage medium having a computer program stored thereon, characterized in that: When the computer program is executed by a processor, the steps of the two-dimensional and three-dimensional linkage ranking design method for transmission lines described in any one of claims 1 to 8 are implemented.

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