A tower pole ranking-based digital route selection method and system for power transmission lines

Abstract

The application is suitable for the field of electric power route selection, in particular to a power transmission line digital route selection method based on tower pole arrangement, in the route selection method, a section view of a target area is created; in response to an operation instruction of the tower pole arrangement, image data is initialized based on a position relationship between an instruction indicating point and a position of a flat section node, a tower pole pattern is created, and an arc drop pattern is created according to whether an arc drop condition is constituted, the tower pole pattern is placed into a corresponding node according to a scene structure; new tower pole and arc drop pattern data are calculated and displayed based on a new position of the instruction indicating point movement, and according to confirmation information of the instruction indicating point, the tower pole pattern and the arc drop pattern generated at the current position are taken as confirmation patterns to complete the creation of the tower pole; the tower pole information created on the section view is transmitted to a route selection map of the target area in real time by using Websocket technology, and is displayed in real time in a three-dimensional scene of the route selection map. The application can optimize the route planning of the power transmission line, and quickly verify and optimize the path scheme.

Description

TECHNICAL FIELD

[0001] The application belongs to the technical field of electric power route selection, and particularly relates to a tower pole arrangement-based digital route selection method and system for a power transmission line. BACKGROUND

[0002] Route selection for a power transmission and transformation project is an important link in power grid planning and design and plays a role in connecting the previous and the next. The route selection for a power transmission and transformation project involves many factors such as load distribution, current power grid status, line corridor, station site topography and geology, and urban construction and development planning consistency.

[0003] With the increasingly accelerated urbanization process and the growing demand for electricity, information technology effectively promotes the fine development of power transmission line channel design. However, under complex topographic conditions, affected by the constraints of ecological protection, channel resource shortage and other comprehensive factors, the preliminary research and design of power transmission lines faces new challenges.

[0004] At present, the traditional route selection work is mainly based on remote sensing data, and experienced designers make comprehensive judgments on the geological, geomorphic and ground object distribution in the line crossing area. The rough selection is made based on spatial geographic information and small-scale topographic maps, and the optimization of the scheme is made based on the rough selection. After multiple designs from rough to fine, the selected line is selected. Such a route selection method is not intuitive, has low automation degree and low efficiency. SUMMARY

[0005] The purpose of the embodiment of the application is to provide a tower pole arrangement-based digital route selection method and system for a power transmission line, aiming to solve the technical problems of low automation degree and low efficiency of the traditional route selection method.

[0006] To achieve the above-mentioned purpose, the application provides the following technical solutions.

[0007] An embodiment of the application provides a tower pole arrangement-based digital route selection method for a power transmission line, comprising the following steps:

[0008] A section view of a target area is created, the section view comprising a horizontal section and a vertical section. The horizontal section is used to present the cumulative distance of the line, the corner angle, the corner position and the crossing span position. The vertical section is used to present the height of each point of the line and the height of the crossing span.

[0009] In response to an operation instruction of the tower pole arrangement, the image data is initialized based on the position relationship between the instruction indicating point and the position of the node of the horizontal section, the tower pole pattern is created, and the tower pole pattern is created according to whether it constitutes an arc drop condition. The tower pole pattern is placed in the corresponding node according to the scene structure.

[0010] The new tower and sag pattern data are generated and displayed based on the new position of the instruction indicating point, and the tower pattern and sag pattern generated at the current position are generated as the confirmation pattern according to the confirmation information of the instruction indicating point, so as to complete the creation of the tower once;

[0011] The tower information created on the cross-section map is transmitted to the target area line selection map in real time by using the Websocket technology, and the corresponding tower, insulator string and conductor in the model library are displayed in real time in the three-dimensional scene of the line selection map; wherein, the position, angle and height of the tower are set according to the tower parameters on the cross-section map, and the conductor K value, sag and insulator string hanging point coordinates are calculated according to the design parameters and position of the tower.

[0012] Further, the step of creating the cross-section map of the target area comprises:

[0013] The corner point coordinate information of the preselected line in the target area is transmitted to the tower arrangement tool by using the WebSocket technology;

[0014] The tower arrangement tool obtains the elevation values of the line and the boundary line by using the DEM data interface according to the set sampling interval and boundary distance based on the received line corner point coordinate information and in combination with the elevation data;

[0015] Based on the elevation data, the cross-section map of the transmission line in the target area is generated in the tower arrangement tool.

[0016] Further, the preselected line in the target area is obtained by using the following steps:

[0017] The remote sensing image of the target area is obtained;

[0018] After rasterizing the remote sensing image, adaptive quadtree image segmentation processing is performed to obtain an adaptive resolution grid map; the parameters of the grid map are initialized, and the starting point and target point are set;

[0019] An ant colony algorithm is established according to the elevation heuristic factor, grid cost factor and distance adaptive factor of each grid, and the transfer probability is calculated; the transfer probabilities are sorted in descending order, and the optimal line of the transmission line is determined as the preselected line according to the sorted transfer probabilities.

[0020] Further, the step of obtaining the adaptive resolution grid map comprises:

[0021] The remote sensing image is subjected to feature recognition to obtain a feature recognition map, and then the feature recognition map is read and converted into a gray scale map;

[0022] The gray scale map is rasterized to obtain a gray scale map composed of initial grids arranged in a regular manner, and adaptive quadtree image segmentation is sequentially performed on each initial grid.

[0023] Arrange each segmented initial grid cell according to the rasterized arrangement order to obtain an adaptive resolution raster map.

[0024] Furthermore, in the step of establishing the ant colony algorithm and calculating the transition probability, the formula for calculating the transition probability is expressed as:

[0025]

[0026] In the formula, This represents the probability that ant k will move from node i to node j at time t; allowed k τ represents the target node for ant k's transfer; j Indicates pheromone content, α represents the pheromone index; η j h represents the distance adaptation factor, β represents the distance adaptation factor exponent; j γ represents the raster cost, δ represents the raster cost factor index, and s represents the elevation heuristic factor index. j represents the elevation heuristic factor; a represents the index of the next node that ant k can choose from at the current node i.

[0027] Furthermore, regarding pheromone content τ j In this paper, a nonlinear activation function is introduced to transform the initial pheromone concentration from a fixed value into a variable related to the grid node position. The initial pheromone concentration is expressed as:

[0028]

[0029] In the formula, q0 represents the initial pheromone concentration; d represents the Euclidean distance from node i to node j; avg This represents the average distance from the starting point to the target point.

[0030] Furthermore, the raster cost for each raster is achieved through the following steps:

[0031] The model is constructed by taking grid cost as the target layer, environmental factors, social factors, construction factors and operation and maintenance factors as the factor layer, and evaluation indicators as the evaluation indicator layer.

[0032] The hierarchical model was constructed into a hierarchical analysis model using the Analytic Hierarchy Process (AHP). The evaluation indicators under each factor layer were quantitatively evaluated using the 0.1 to 0.9 scale in AHP to obtain evaluation data. Then, a priority relation matrix was constructed based on the fuzzy hierarchical analysis method (FAHP) to obtain the weight of the evaluation indicators under each factor layer through the priority relation matrix. The comprehensive weight of each evaluation indicator on the target line selection cost was obtained, and the grid cost was obtained based on the comprehensive weight.

[0033] Further, in the distance adaptive factor η j The function of the heuristic factor is represented as:

[0034]

[0035]

[0036] where d ij represents the Euclidean distance between node i and node j; d js represents the Euclidean distance between node j and the target point s; ξ represents a distance weight coefficient for adjusting the influence of the target point on the heuristic factor function; u represents an adjustment factor; N represents the current iteration number, N max represents the maximum allowed iteration number.

[0037] Further, in the elevation heuristic factor s j The elevation heuristic function is represented as the reciprocal of the absolute value of the elevation difference between two adjacent nodes, represented as: , s i and s j respectively represent the elevation values of nodes i and j, and the smaller the elevation difference, the flatter the path and the lower the construction and dimensioning difficulty, so the greater the heuristic value of the ant colony algorithm, and the higher the probability of the ant selecting the path.

[0038] Another embodiment of the present application provides a power transmission line digital route selection system based on tower pole arrangement, comprising the following modules:

[0039] A cross-section creation module is configured to create a cross-section of a target area, the cross-section including a horizontal cross-section and a vertical cross-section, the horizontal cross-section being configured to present the cumulative distance, the corner angle, the corner position and the crossing span position of the line, and the vertical cross-section being configured to present the height of each point of the line and the height of the crossing span;

[0040] A first tower creation module is configured to initialize image data based on the positional relationship between the instruction point position and the position of the horizontal cross-section node in response to an operation instruction of the tower pole arrangement, create a tower graphic, and create a sag graphic according to whether the sag condition is met, and place the tower graphic into the corresponding node according to the scene structure;

[0041] A second tower creation module is configured to calculate and display new tower and sag graphic data based on the new position of the instruction point, and generate the tower graphic and the sag graphic at the current position as the confirmed graphic according to the confirmation information of the instruction point, thereby completing the creation of a tower;

[0042] The scene building module is used for transmitting the tower information created on the profile map to the target area line selection map in real time by using the Websocket technology, and the corresponding tower, insulating string and conductor in the model library are displayed in the three-dimensional scene of the line selection map in real time.

[0043] Compared with the prior art, the power transmission line digital line selection method and system based on tower and pole arrangement have the following advantages:

[0044] Firstly, the cumulative distance, corner angle, position, crossing span position and height of each point and crossing height of the power transmission line are comprehensively and intuitively displayed by creating the plane profile and longitudinal profile, so that accurate basic data are provided for the tower and pole arrangement; the insertion, movement, modification and deletion of the tower and pole are simultaneously performed in the two-dimensional and three-dimensional scenes, the tower erection effect can be viewed in real time, the tower and pole position can be more intuitively evaluated and adjusted by the designer, and the design efficiency and accuracy are improved; the tower information created on the profile map is transmitted to the target area line selection map in real time by using the Websocket technology, and the corresponding tower, insulating string and conductor in the model library are displayed in the three-dimensional scene of the line selection map in real time, so that the real-time updating and sharing of the design data are ensured.

[0045] Secondly, the remote sensing image is rasterized and subjected to adaptive quadtree image segmentation processing to obtain an adaptive resolution raster map; the parameters of the raster map are initialized, and the starting point and target point are set; the transfer probability is calculated by establishing an ant colony algorithm according to the elevation heuristic factor, raster cost factor and distance adaptive factor of each grid, the transfer probabilities are sorted in descending order, and the optimal line of the power transmission line is determined as the preselected line according to the sorted transfer probabilities; the elevation heuristic factor, raster cost factor and distance adaptive factor and other factors are integrated into the ant colony algorithm, so that the influence of the actual terrain and environment on the power transmission line path can be more comprehensively reflected, and the obtained power transmission line is more in line with the actual situation and engineering requirements. BRIEF DESCRIPTION OF DRAWINGS

[0046] In order to more clearly illustrate the technical solutions in the embodiments of the present application, the following will briefly introduce the drawings needed to be used in the embodiments or prior art description. Obviously, the drawings in the following description only some embodiments of the present application.

[0047] Figure 1 The implementation flowchart of the power transmission line digital line selection method based on tower and pole arrangement;

[0048] Figure 2A sub-flow chart of the tower pole arrangement-based digital transmission line route selection method of the present application;

[0049] Figure 3 Another sub-flow chart of the tower pole arrangement-based digital transmission line route selection method of the present application;

[0050] Figure 4 A structure block diagram of the tower pole arrangement-based digital transmission line route selection system of the present application;

[0051] Figure 5 A structure block diagram of the computer device provided by the present application. DETAILED DESCRIPTION

[0052] In order to make the objectives, technical solutions and advantages of the present application clearer and more comprehensible, the present application is further described in detail below in combination with the drawings and embodiments. It should be understood that the specific embodiments described herein are only used to explain the present application and do not limit the present application.

[0053] The specific implementation of the present application is described in detail below in combination with specific embodiments.

[0054] Please refer to Figure 1 In an embodiment of the present application, a tower pole arrangement-based digital transmission line route selection method is provided, comprising the following steps:

[0055] S1, a section view of a target area is created, the section view comprising a horizontal section and a vertical section, the horizontal section being used to present the cumulative distance, corner angle, corner position and crossing span position of the line, and the vertical section being used to present the height of each point of the line and the height of the crossing span;

[0056] The section view is information reflecting the ground elevation change of the line in the transmission line, and through the section view, the topographic relief along the line can be accurately understood, so as to reasonably arrange the positions and heights of the towers and poles and ensure the safety and stability of the line;

[0057] S2, in response to the operation instruction of the tower pole arrangement, the image data is initialized based on the position relationship between the instruction indicating point and the position of the horizontal section node, the tower pole pattern is created, and the tower pole pattern is created according to whether the sag condition is constituted, the tower pole pattern is placed into the corresponding node according to the scene structure;

[0058] S3, the new tower and sag pattern data are calculated and displayed based on the new position of the instruction indicating point movement, and according to the confirmation information of the instruction indicating point, the tower pole pattern and the sag pattern generated at the current position are taken as the confirmation pattern, and the creation of the tower is completed once;

[0059] S4, the tower information created on the section view is transmitted to the route selection map of the target area in real time by using the Websocket technology, and the corresponding tower, insulating string and conductor in the model library are displayed in real time in the three-dimensional scene of the route selection map; wherein, the position, angle and height of the tower are set according to the tower parameters on the section view, and the conductor K value, sag and insulating string hanging point coordinates are calculated according to the design parameters and position of the tower.

[0060] Further, please refer to Figure 2 In the embodiment of the application, the process of creating the section view of the target area comprises the following steps:

[0061] S11, the corner point coordinate information of the preselected route in the target area is transmitted to the tower arrangement tool by using the WebSocket technology;

[0062] S12, the tower arrangement tool obtains the elevation values of the route and the boundary line by using the DEM data interface according to the set sampling interval and boundary line distance based on the received line corner point coordinate information and in combination with the elevation data;

[0063] S13, the section view of the transmission line in the target area is generated in the tower arrangement tool based on the elevation data.

[0064] In the transmission line planning project, the corner point coordinate information of the preselected route has been planned and determined by the ant colony algorithm of the application, and the coordinate information is stored in the database of the server side; the server side communicates with the tower arrangement tool by using the WebSocket protocol.

[0065] The tower arrangement tool of the embodiment of the application obtains the elevation values of the route and the boundary line by using the DEM data interface according to the set sampling interval and boundary line distance based on the received line corner point coordinate information and in combination with the elevation data; after receiving the corner point coordinate information, the tower arrangement tool needs to generate the section view of the transmission line in combination with the elevation data; the tower arrangement tool needs to obtain the elevation values of the route and the boundary line by using the DEM (digital elevation model) data interface according to the set sampling interval and boundary line distance. The DEM data interface can be an API provided by a geographic information system (GIS) for querying the elevation information of a specific coordinate point.

[0066] The tower arrangement tool uses the ArcGIS API as the DEM data interface; specifically, according to the engineering requirements, the sampling interval is set to 50 meters and the boundary line distance is set to 10 meters; according to the corner point coordinate information and the sampling interval, the sampling point coordinates along the line are generated. At the same time, according to the boundary line distance, the sampling point coordinates of the boundary line are generated; the ElevationService of the ArcGIS API is used to query the elevation values of each sampling point.

[0067] Further, after obtaining the elevation values of the line and the boundary line, the tower and pole arrangement tool can generate a cross-section diagram of the power transmission line, which can intuitively show the elevation change of the line.

[0068] The application comprehensively and intuitively shows the cumulative distance, corner angle, position, crossing span position and height of each point and crossing object height of the power transmission line by creating the plane and longitudinal section diagrams, provides accurate basic data for tower and pole arrangement, synchronously performs tower and pole insertion, movement, modification and deletion and other operations in the two-dimensional and three-dimensional scenes, can realize real-time viewing of tower erection effect, enables the designer to more intuitively evaluate and adjust the tower and pole position, and improves the design efficiency and accuracy, and realizes real-time transmission of the tower and pole information created on the section diagram to the target area selection line map by using the Websocket technology, and realizes real-time display of the corresponding tower, insulator string and conductor in the model library in the three-dimensional scene of the selection line map, and ensures real-time updating and sharing of the design data.

[0069] The application realizes real-time information interaction between the selection line map and the tower and pole arrangement tool by using the Websocket technology, wherein the Websocket technology is a protocol for full-duplex communication on a single TCP connection, which allows a persistent connection between the browser and the server, and enables timely updating of data, and greatly reduces the delay of data transmission.

[0070] Further, please refer to Figure 3 The preselected line in the target area is obtained by the following steps:

[0071] S111, obtaining a remote sensing image of a target area;

[0072] In step S111, for obtaining the remote sensing image, the remote sensing image can be obtained in various ways, including satellite remote sensing, aerial remote sensing, etc. The satellite remote sensing image has the advantages of wide coverage, high resolution and stable data updating period, such as multispectral and hyperspectral images provided by Landsat series, Sentinel series, etc. The aerial remote sensing has higher resolution and is suitable for fine research in a small range, such as images obtained by high-resolution cameras carried by unmanned aerial vehicles or manned aircraft; the remote sensing image can be a multispectral image (such as RGB, near-infrared, etc.), a hyperspectral image (containing more bands, which can provide richer spectral information of ground objects) or a thermal infrared image, etc.

[0073] Further, the obtained remote sensing image usually needs to be preprocessed, including radiation correction (eliminating the influence of sensors and atmospheric factors on image radiation information), geometric correction (correcting the geometric deformation of the image to match the actual geographic coordinate system), image enhancement (such as histogram equalization, filtering, etc. to improve the visual effect and information readability of the image) and the like.

[0074] Please continue to refer to Figure 3 In the embodiments of the present application, the step further comprises:

[0075] S112, after rasterizing the remote sensing image, performing adaptive quadtree image segmentation processing to obtain an adaptive resolution raster map; initializing parameters of the raster map, setting a starting point and a target point;

[0076] Specifically, in step S112 of the present application, the remote sensing image is subjected to feature recognition to obtain a feature recognition map, and then read and converted into a grayscale map; the grayscale map is rasterized to obtain a grayscale map composed of initial grids arranged in a regular manner, and each initial grid is sequentially subjected to adaptive quadtree image segmentation; each segmented initial grid is arranged according to the arrangement order after rasterization to obtain an adaptive resolution raster map;

[0077] Among them, the remote sensing image can be subjected to feature recognition using a supervised classification or an unsupervised classification method to identify different feature types (such as vegetation, water body, building, etc.) and generate a feature recognition map; then the feature recognition map is converted into a grayscale map to facilitate subsequent rasterization processing; the grayscale value of each pixel in the grayscale map can represent a certain attribute or feature of the feature, such as vegetation coverage, feature height, etc.

[0078] Further, the grayscale map is rasterized, that is, the image is divided into initial grids arranged in a regular manner, and each grid corresponds to a region in the image. The resolution of rasterization can be selected according to actual needs and computing resources;

[0079] Further, in the embodiments of the present application, each initial grid is subjected to adaptive quadtree segmentation, and the granularity of segmentation is dynamically adjusted according to the complexity of information in the grid. In the area with small information change (such as large area of flat vegetation area), a larger segmentation block is used to reduce the data amount; while in the area with large information change (such as mountainous area with large terrain undulation or area with complex feature types), a smaller segmentation block is used to retain more detailed information. The segmentation process usually divides the grid into four sub-grids recursively, and judges whether to continue segmentation according to certain criteria (such as variance of grayscale value, diversity of feature types, etc.), until the stopping condition is met;

[0080] Further, the segmented initial grids are arranged according to the arrangement order after rasterization to form a raster map with adaptive resolution; the map can adaptively adjust the resolution according to the complexity of the terrain and the feature, which not only ensures the retention of important information, but also improves the efficiency of data processing;

[0081] The parameters of the raster map are initialized, including defining the attributes of each grid;

[0082] In the generated raster map, initialize the parameters of each raster, such as elevation (obtained from digital elevation model (DEM) data) and feature cost (set according to feature type, such as lower cost for vegetated areas and higher cost for built-up areas); determine the location of the starting point and target point using GIS data;

[0083] S113. Based on the elevation heuristic factor, grid cost factor and distance adaptive factor of each grid, establish an ant colony algorithm to calculate the transition probability. Sort the transition probabilities from largest to smallest and determine the optimal transmission line as the pre-selected line based on the sorted transition probabilities.

[0084] In one implementation of the present invention, an elevation heuristic factor is used to guide ants to choose paths with smaller elevation changes, thereby reducing the construction difficulty and cost of power transmission lines.

[0085] In one implementation of this invention, the grid cost factor comprehensively considers the impact of factors such as land cover type and terrain slope on the construction cost of transmission lines. For example, the cost of crossing vegetated areas is relatively low, while the cost of crossing built-up areas or steep slopes is higher.

[0086] In the ant colony algorithm, the parameters are set as follows: number of ants = 50, maximum number of iterations = 100, pheromone evaporation factor ρ = 0.1, weight exponents α = 1, β = 2, γ = 1, δ = 1; the pheromone content of each path is initialized to 0.1; the ant colony algorithm is run, and in each iteration, ants search for a path from the starting point to the target point according to the transition probability, while updating the pheromone content on the path. After 100 iterations, pheromones accumulate on a few paths, and the path with the largest total pheromone content is selected as the optimal path, which is the pre-selected transmission line path.

[0087] Specifically, in the ant colony algorithm of this invention, the formula for calculating the transition probability is as follows:

[0088]

[0089] In the formula, This represents the probability that ant k will move from node i to node j at time t; allowed k τ represents the target node for ant k's transfer; j Indicates pheromone content, α represents the pheromone index; η j h represents the distance adaptation factor, β represents the distance adaptation factor exponent; j γ represents the raster cost, δ represents the raster cost factor index, and s represents the elevation heuristic factor index. j represents the elevation heuristic factor; a represents the index of the next node that ant k can choose from at the current node i.

[0090] Therefore, the remote sensing image is rasterized, and then adaptive quadtree image segmentation processing is performed to obtain an adaptive resolution raster map; parameters of the raster map are initialized, and a starting point and a target point are set; an ant colony algorithm is established according to an elevation heuristic factor, a raster cost factor and a distance adaptive factor of each grid, transition probabilities are calculated, the transition probabilities are sorted in descending order, and the optimal line of the transmission line is determined as a preselected line according to the sorted transition probabilities; the elevation heuristic factor, the raster cost factor and the distance adaptive factor and other factors are integrated into the ant colony algorithm, the actual terrain and environment can be more comprehensively reflected on the influence of the transmission line path, and the obtained path is more in line with the actual situation and engineering requirements.

[0091] Further, the pheromone content τ j is introduced into a nonlinear activation function, the initial pheromone concentration is converted from a constant value to a variable related to the position of the grid node, and the initial pheromone is represented as:

[0092]

[0093] In the formula, q0 represents the initial pheromone concentration; Dij represents the Euclidean distance from node i to node j; d avg represents the average distance from the starting point to the target point.

[0094] Further, the raster cost of each grid is realized through the following steps:

[0095] The raster cost is taken as a target layer, the environmental factors, social factors, construction factors and operation and maintenance factors are taken as factor layers, and the evaluation indexes are taken as evaluation index layers, so as to build a hierarchical model;

[0096] The hierarchical model is constructed into an analytic hierarchy process (AHP) model by using the chromatography analysis method AHP, the evaluation indexes under each factor layer are quantitatively evaluated according to the 0.1 to 0.9 scale in the chromatography analysis method AHP, the evaluation data are obtained, then a priority relationship matrix is constructed based on the fuzzy analytic hierarchy process (FAHP) of the evaluation data, the weight of each evaluation index under each factor layer is solved through the priority relationship matrix, the comprehensive weight of each evaluation index on the target line selection cost is solved, and the raster cost is obtained according to the comprehensive weight.

[0097] In the transmission line path planning, the determination of the raster cost needs to comprehensively consider multiple factors. First, the raster cost is taken as a target layer, then the environmental factors, social factors, construction factors and operation and maintenance factors are taken as factor layers, and finally the specific evaluation indexes are taken as evaluation index layers to build a hierarchical model. This hierarchical model can clearly show the hierarchical relationship between various factors, and provide a framework for subsequent quantitative evaluation.

[0098] Suppose in a power transmission line planning project in a mountainous area, the following hierarchical model is constructed:

[0099] The target layer is the grid cost, the factor layer is the environmental factor, the social factor, the construction factor and the operation and maintenance factor, in the evaluation index layer, the environmental factor corresponds to the vegetation coverage, the water proximity, the ecological sensitivity, the social factor corresponds to the population density, the land use type, the cultural site proximity, the construction factor corresponds to the terrain slope, the soil type, the traffic convenience, and the operation and maintenance factor corresponds to the inspection difficulty, the fault repair difficulty and the maintenance cost;

[0100] In the embodiment of the application, the evaluation index weights under each factor layer are comprehensively obtained, and the comprehensive weights of each evaluation index on the target line selection cost are obtained. Then, according to the comprehensive weights and the performance of each grid on the evaluation index, the cost of each grid is calculated.

[0101] Further, in the distance adaptive factor η j , the function of the heuristic factor is represented as:

[0102]

[0103]

[0104] In the formula, d ij represents the Euclidean distance from node i to node j; d js represents the Euclidean distance from node j to the target point s; ξ represents the distance weight coefficient, which is used to adjust the influence of the target point on the heuristic factor function; u represents the adjustment factor; N represents the current iteration number, N max represents the maximum allowed iteration number.

[0105] Further, in the elevation heuristic factor s j , the elevation heuristic function is represented as the reciprocal of the absolute value of the elevation difference between two adjacent nodes, and is represented as: , s i and s j respectively represent the elevation values of nodes i and j, the smaller the elevation difference, the more gentle the path, and the lower the construction and maintenance difficulty, therefore, the greater the heuristic value of the ant colony algorithm, and the higher the probability of the ant selecting the path;

[0106] Further, in an optional embodiment, in order to further consider the continuity of the elevation, the embodiment of the application further introduces an elevation continuity function, and the expression is: The continuity function reflects the continuity of the path in the elevation, and the lower the average elevation, the easier the path is selected.

[0107] Therefore, the application can combine the elevation continuity function and the elevation heuristic function, and more comprehensively know that the ants consider the elevation factor when selecting the path in the ant algorithm, so as to find a more optimal power line path.

[0108] Please refer to Figure 4 In another embodiment of the application, a tower pole arrangement-based power line digital route selection system is provided, comprising the following modules:

[0109] The cross-section creation module 10 is configured to create a cross-section of the target area, the cross-section comprising a horizontal cross-section and a vertical cross-section, the horizontal cross-section being used to present the cumulative distance, the corner angle, the corner position and the crossing span position of the line, and the vertical cross-section being used to present the height of each point of the line and the height of the crossing span;

[0110] The first tower creation module 20 is configured to initialize image data based on the positional relationship between the instruction point position and the node position of the horizontal cross-section in response to an operation instruction of the tower pole arrangement, create a tower image, and create a sag image according to whether the sag condition is met, and place the tower image into the corresponding node according to the scene structure.

[0111] The second tower creation module 30 is configured to calculate and display new tower and sag image data based on the new position of the instruction point, and generate the tower image and the sag image at the current position as the confirmation image according to the confirmation information of the instruction point, thereby completing the creation of the tower.

[0112] The scene construction module 40 is configured to use the Websocket technology to transfer the tower information created on the cross-section to the route selection map of the target area in real time, and display the corresponding tower, insulator string and conductor in the model library in the three-dimensional scene of the route selection map in real time, wherein the position, angle and height of the tower are set according to the tower parameters on the cross-section, and the conductor K value, sag and insulator string hanging point coordinates are calculated according to the design parameters and position of the tower.

[0113] Figure 5 An internal structure diagram of a computer device in an embodiment is shown.

[0114] As Figure 5 shown, the computer device includes a processor, a memory, a network interface, an input device and a display screen connected through a system bus. The memory includes a non-volatile storage medium and an internal memory. The non-volatile storage medium of the computer device stores an operating system, and can also store a computer program, which, when executed by the processor, can enable the processor to implement the tower pole arrangement-based power line digital route selection method.

[0115] The internal memory may also store computer programs, which, when executed by the processor, enable the processor to perform a digital line selection method for transmission lines based on tower position. The computer device's display screen can be an LCD screen or an e-ink screen, and the input device can be a touch layer covering the display screen, or buttons, a trackball, or a touchpad mounted on the computer device's casing, or an external keyboard, touchpad, or mouse, etc.

[0116] Those skilled in the art will understand that Figure 5 The structure shown is merely a block diagram of a portion of the structure related to the present application and does not constitute a limitation on the computer device to which the present application is applied. Specific computer devices may include more or fewer components than those shown in the figure, or combine certain components, or have different component arrangements.

[0117] In one embodiment, the digital transmission line selection system based on tower positioning provided in this application can be implemented as a computer program, which can be implemented in various ways, such as... Figure 5 The system runs on the computer device shown. The computer device's memory can store the various program modules that make up the line selection system.

[0118] The above provides a detailed description of the digital transmission line selection method based on tower positioning disclosed in the embodiments of the present invention. Specific examples have been used to illustrate the principles and implementation methods of the present invention. The descriptions of the above embodiments are only for the purpose of helping to understand the method and core ideas of the present invention. At the same time, for those skilled in the art, there will be changes in the specific implementation methods and application scope based on the ideas of the present invention. Therefore, the content of this specification should not be construed as a limitation of the present invention.

Claims

1. A digital transmission line selection method based on tower positioning, characterized in that, This route selection method includes the following steps: Create a cross-sectional view of the target area, which includes a plan view and a longitudinal view. The plan view is used to show the cumulative distance of the line, the turning angle, the turning position, and the crossing position; the longitudinal view is used to show the height of each point of the line and the height of the crossings. In response to the tower positioning operation command, the image data is initialized based on the positional relationship between the command indication point and the horizontal section node, tower graphics are created, and sag graphics are created according to whether sag conditions are formed. The tower graphics are then placed into the corresponding nodes according to the scene structure. Based on the new position of the command indicator point, new tower and sag graphic data are calculated, generated, and displayed. According to the confirmation information of the command indicator point, the tower and sag graphic generated at the current position are used as the confirmed graphic, and the creation of a tower is completed. Using Websocket technology, the tower information created on the cross-sectional view is transmitted in real time to the alignment map of the target area. The corresponding towers, insulation strings and conductors in the model library are displayed in real time in the 3D scene of the alignment map. The position, angle and height of the towers are set according to the tower parameters on the cross-sectional view, and the conductor K value, sag and insulation string hanging point coordinates are calculated according to the tower design parameters and position. The steps for creating a cross-sectional view of the target area include: using WebSocket technology to transmit the coordinate information of the corner points of the pre-selected lines in the target area to the pole and tower positioning tool; the pole and tower positioning tool, based on the received coordinate information of the line corner points and in combination with elevation data, using the DEM data interface to obtain the elevation values ​​of the lines and edges according to the set sampling interval and edge distance; and generating a cross-sectional view of the transmission lines in the target area in the pole and tower positioning tool based on the elevation data. The pre-selected transmission lines in the target area are obtained through the following steps: acquiring remote sensing images of the target area; rasterizing the remote sensing images and performing adaptive quadtree image segmentation to obtain an adaptive resolution raster map; initializing the parameters of the raster map and setting the starting point and target point; establishing an ant colony algorithm based on the elevation heuristic factor, raster cost factor, and distance adaptive factor of each raster to calculate the transition probability; sorting the transition probabilities from largest to smallest; and determining the optimal transmission line as the pre-selected line based on the sorted transition probabilities. In the step of establishing the ant colony algorithm and calculating the transition probability, the formula for calculating the transition probability is expressed as: In the formula, This represents the probability that ant k will move from node i to node j at time t; allowed k Indicates the target node for ant k to move to; Indicates pheromone content, Indicates the pheromone index; β represents the distance adaptation factor, and β represents the distance adaptation factor exponent. γ represents the raster cost, δ represents the raster cost factor index, and δ represents the elevation heuristic factor index. Indicates the elevation heuristic factor; This represents the index of the next node that ant k can choose from at the current node i; In pheromone content τ j In this paper, a nonlinear activation function is introduced to transform the initial pheromone concentration from a fixed value into a variable related to the grid node position. The initial pheromone concentration is expressed as: In the formula, q0 represents the initial pheromone concentration; d represents the Euclidean distance from node i to node j; avg This represents the average distance from the starting point to the target point.

2. The digital transmission line selection method based on tower positioning according to claim 1, characterized in that, The steps to obtain an adaptive resolution raster map include: Remote sensing images are used to identify ground features to obtain ground feature identification maps, which are then read and converted into grayscale images. The grayscale image is rasterized to obtain a grayscale image composed of regularly arranged initial grids. Adaptive quadtree image segmentation is then performed on each initial grid in turn. Arrange each segmented initial grid cell according to the rasterized arrangement order to obtain an adaptive resolution raster map.

3. The digital transmission line selection method based on tower positioning according to claim 2, characterized in that, The raster cost for each raster is achieved through the following steps: The model is constructed by taking grid cost as the target layer, environmental factors, social factors, construction factors and operation and maintenance factors as the factor layer, and evaluation indicators as the evaluation indicator layer. The hierarchical model was constructed into a hierarchical analysis model using the Analytic Hierarchy Process (AHP). The evaluation indicators under each factor layer were quantitatively evaluated using the 0.1 to 0.9 scale in AHP to obtain evaluation data. Then, a priority relation matrix was constructed based on the fuzzy hierarchical analysis method (FAHP) to obtain the weight of the evaluation indicators under each factor layer through the priority relation matrix. The comprehensive weight of each evaluation indicator on the target line selection cost was obtained, and the grid cost was obtained based on the comprehensive weight.

4. The digital transmission line selection method based on tower positioning according to claim 3, characterized in that, In distance adaptation factor η j In this context, the heuristic factor is expressed as a function: In the formula, d ij This represents the Euclidean distance from node i to node j; ξ represents the Euclidean distance from node j to target point s; ξ represents the distance weighting coefficient, used to adjust the influence of the target point on the heuristic factor function; u represents the adjustment factor; N represents the current iteration number. max Indicates the maximum number of iterations allowed.

5. The digital transmission line selection method based on tower positioning according to claim 4, characterized in that, Elevation heuristic factor In this context, the elevation heuristic function is represented as the reciprocal of the absolute value of the elevation difference between two adjacent nodes, expressed as: , and Let i and j represent the elevation values ​​of nodes i and j, respectively. The smaller the elevation difference, the gentler the path, and the lower the construction and dimensional difficulty. Therefore, the larger the heuristic value for the ant colony algorithm, the higher the probability that ants will choose this path.

6. A line selection system for implementing the digital line selection method for transmission lines based on tower positioning as described in any one of claims 1 to 5, characterized in that, The route selection system includes the following modules: The cross-section creation module is used to create cross-sections of the target area. The cross-section includes a plan view and a longitudinal view. The plan view is used to show the cumulative distance of the line, turning angles, turning positions, and crossing positions; the longitudinal view is used to show the height of each point on the line and the height of crossings. The first tower creation module is used to respond to the tower positioning operation command, initialize image data based on the positional relationship between the command indication point and the horizontal section node, create tower graphics, create sag graphics according to whether sag conditions are formed, and place the tower graphics into the corresponding nodes according to the scene structure. The second tower creation module is used to calculate and generate new tower and sag graphic data based on the new position of the command indication point and display it. According to the confirmation information of the command indication point, the tower graphic and sag graphic generated at the current position are used as the confirmation graphic to complete the creation of a tower. The scene construction module is used to transmit the tower information created on the cross-sectional view to the alignment map of the target area in real time using Websocket technology. The corresponding towers, insulation strings and conductors in the model library are displayed in real time in the 3D scene of the alignment map. The position, angle and height of the tower are set according to the tower parameters on the cross-sectional view, and the conductor K value, sag and insulation string hanging point coordinates are calculated according to the tower design parameters and position.

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