Power transmission line digital line selection method and system based on tower pole arrangement

Abstract

The invention is suitable for the field of power line selection, and particularly relates to a power transmission line digital line selection method based on pole arrangement, and the method comprises the steps: creating a cross-section diagram of a target region; in response to an operation instruction of pole arrangement, initializing image data based on a position relationship between an instruction indication point position and a plane section node, creating a pole graph, creating a sag graph according to whether a sag condition is formed or not, and placing the pole graph into a corresponding node according to a scene structure; calculating and generating new pole tower and sag graph data based on the new position of the movement of the instruction indication point, displaying the new pole tower and sag graph data, and according to the confirmation information of the instruction indication point, taking the pole tower graph and the sag graph generated at the current position as confirmation graphs to complete the creation of the pole tower; and transmitting the tower information created on the cross-section diagram to a line selection map of the target area in real time by using a Websocket technology, and displaying the tower information in a three-dimensional scene of the line selection map in real time. According to the method, the line planning of the power transmission line can be optimized, and the path scheme can be quickly verified and optimized.

Description

Technical Field

[0007] The present invention belongs to the technical field of power line selection, and particularly relates to a digital line selection method and system for transmission lines based on tower pole ranking. Background Art

[0008] The line selection of power transmission and transformation projects is an important link in the grid planning and design work, playing a connecting role between the upper and lower levels in the grid planning and design. The line selection of power transmission and transformation projects involves many factors such as load distribution, grid status, line corridors, terrain and geology of substation sites, and consistency with urban construction development plans.

[0009] With the accelerating urbanization process and the continuous growth of power demand, information technology has effectively promoted the refined development of the design of transmission line corridors. However, under complex terrain conditions, affected by comprehensive factors such as ecological protection constraints and tight corridor resources, the preliminary feasibility study and design of transmission lines face new challenges.

[0010] Currently, traditional line selection work is mainly based on remote sensing data. Experienced designers make comprehensive judgments on the geology, landforms, and distribution of ground objects within the line crossing area on it. Based on spatial geographic information and using medium- and small-scale topographic maps as data bases for rough selection, and then optimizing the plan on the basis of rough selection. After multiple designs from rough to fine, alternative lines are selected. Such a line selection method is not intuitive, has a low degree of automation, and low efficiency. Summary of the Invention

[0011] The purpose of the embodiments of the present invention is to provide a digital line selection method and system for transmission lines based on tower pole ranking, aiming to solve the technical problems of low automation and low efficiency existing in traditional line selection methods.

[0012] To achieve the above purpose, the present invention provides the following technical solutions.

[0013] An embodiment of the present invention provides a digital line selection method for transmission lines based on tower pole ranking, including the following steps:

[0014] Create a cross-section diagram of the target area. The cross-section diagram includes a horizontal cross-section and a vertical cross-section. The horizontal cross-section is used to present the cumulative distance, turning angle, turning position, and crossing position of the line; the vertical cross-section is used to present the height of each point of the line and the height of the crossing object;

[0015] In response to the operation instruction of tower pole ranking, initialize the image data based on the position relationship between the instruction indication point and the nodes of the horizontal cross-section, create a tower pole graphic, and create a sag graphic according to whether the sag condition is met, and place the tower pole graphic into the corresponding node according to the scene structure;

[0016] Calculate and display new tower and sag graphic data based on the new position calculated by moving according to the instruction indication point. According to the confirmation information of the instruction indication point, use the tower graphic and sag graphic generated at the current position as the confirmation graphic to complete the creation of a tower once.

[0017] Use the Websocket technology to transmit the tower information created on the cross-section diagram to the route selection map in the target area in real time, and display the corresponding towers, insulator strings, and conductors in the model library in the three-dimensional scene of the route selection map. Among them, the position, angle, and height of the tower are set according to the tower parameters on the cross-section diagram, and the conductor K value, sag, and insulator string suspension point coordinates, etc. are calculated based on the design parameters and position of the tower.

[0018] Further, the steps to create the cross-section diagram of the target area include:

[0019] Use the WebSocket technology to transmit the corner point coordinate information of the preselected line in the target area to the tower positioning tool.

[0020] Based on the received line corner point coordinate information, the tower positioning tool combines the elevation data, and uses the DEM data interface to obtain the elevation values of the line and its side lines according to the set sampling interval and side line distance.

[0021] Based on the elevation data, generate the cross-section diagram of the transmission line in the target area in the tower positioning tool.

[0022] Further, the preselected line in the target area is obtained by the following steps:

[0023] Obtain the remote sensing image of the target area.

[0024] After rasterizing the remote sensing image, perform adaptive quadtree image segmentation processing to obtain an adaptive resolution raster map; initialize the parameters of the raster map and set the starting point and target point.

[0025] According to the elevation heuristic factor, raster cost factor, and distance adaptation factor of each raster, establish an ant colony algorithm, calculate the transition probability, sort the transition probabilities from large to small, and determine the optimal transmission line as the preselected line according to the sorted transition probabilities.

[0026] Further, the steps to obtain the adaptive resolution raster map include:

[0027] Perform feature recognition on the remote sensing image to obtain a feature recognition map, and then read and convert it into a grayscale image.

[0028] Rasterize the grayscale image to obtain a grayscale image composed of regularly arranged initial rasters, and perform adaptive quadtree image segmentation on each initial raster in turn.

[0029] Arrange each segmented initial grid in the rasterized arrangement order to obtain an adaptive resolution grid map.

[0030] Further, in the step of establishing the ant colony algorithm and calculating the transition probability, the calculation formula of the transition probability is expressed as:

[0031]

[0032] In the formula, represents the probability that ant k transfers from node i to node j at time t; allowed k represents the transfer target node of ant k; τ j represents the pheromone content, α represents the pheromone index; η j represents the distance adaptation factor, β represents the distance adaptation factor index; h j represents the grid cost, γ represents the grid cost factor index; δ represents the elevation heuristic factor index, s j represents the elevation heuristic factor; a represents the index of the next node that ant k can choose at the current node i.

[0033] Further, in the pheromone content τ j introduce a non-linear activation function to convert the initial pheromone concentration from a fixed value into a variable related to the grid node position. The initial pheromone is expressed as:

[0034] In the formula, q0 represents the initial pheromone concentration; x represents the Euclidean distance from node i to node j; d avg represents the average distance from the starting point to the target point.

[0035] Further, the grid cost of each grid is realized through the following steps:

[0036] Take the grid cost as the target layer, take the environmental factor, social factor, construction factor and operation and maintenance factor as the factor layer, and take the evaluation index as the evaluation index layer, so as to construct a hierarchical model;

[0037] Adopt the analytic hierarchy process AHP to construct the hierarchical model into a hierarchical analysis model, quantitatively evaluate the evaluation indexes under each factor layer according to the 0.1 to 0.9 scale in the analytic hierarchy process AHP to obtain evaluation data, and then construct a preference relation matrix for the evaluation data based on the fuzzy analytic hierarchy process FAHP, solve the weights of the evaluation indexes under each factor layer through the preference relation matrix, solve the comprehensive weights of each evaluation index on the target route selection cost, and obtain the grid cost according to the comprehensive weights.

[0038] Further, in the distance adaptation factor η jAmong them, the function of the heuristic factor is expressed as:

[0039]

[0040] 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, and N max represents the maximum allowed iteration number.

[0041] Furthermore, in the elevation heuristic factor s j the elevation heuristic function is expressed as the reciprocal of the absolute value of the elevation difference between two adjacent nodes, and is expressed as: s i and s j represent the elevation values of node i and node j respectively. The smaller the elevation difference, the flatter the path, the lower the construction and dimension difficulty. Therefore, the greater the heuristic value for the ant colony algorithm, and the higher the probability that the ant chooses this path.

[0042] Another embodiment of the present invention provides a digital route selection system for transmission lines based on tower pole arrangement, including the following modules:

[0043] Cross-section drawing creation module, which is used to create the cross-section drawing of the target area. The cross-section drawing includes the horizontal cross-section and the vertical cross-section. The horizontal cross-section is used to present the cumulative distance, turning angle, turning position and crossing position of the line; the vertical cross-section is used to present the height of each point of the line and the height of the crossing object;

[0044] The first tower pole creation module is used to respond to the operation instruction of tower pole arrangement, initialize the image data based on the position relationship between the instruction indication point and the nodes of the horizontal cross-section, create the tower pole graphics, and create the sag graphics according to whether the sag condition is met, and place the tower pole graphics into the corresponding nodes according to the scene structure;

[0045] The second tower pole creation module is used to calculate and generate new tower pole and sag graphic data based on the new position of the instruction indication point and display them. According to the confirmation information of the instruction indication point, the tower pole graphics and sag graphics generated at the current position are used as the confirmation graphics to complete the creation of a tower pole;

[0046] Scene construction module, which is used to use the Websocket technology to transfer the tower pole information created on the cross-section drawing to the route selection map of the target area in real time, and display the corresponding tower poles, insulator strings and conductors in the model library in the three-dimensional scene of the route selection map in real time; among them, the position, angle and height of the tower pole are set according to the tower pole parameters on the cross-section drawing, and the conductor K value, sag and insulator string suspension point coordinates, etc. are calculated according to the design parameters and positions of the tower pole.

[0047] Compared with the prior art, the digital line selection method and system for transmission lines based on tower ranking of the present invention have the following beneficial effects:

[0048] First, the present invention comprehensively and intuitively displays the cumulative distance, turning angle, position, crossing position, height of each point and height of crossing objects of the transmission line by creating horizontal and vertical sections, providing accurate basic data for tower positioning; inserting, moving, modifying and deleting towers in two or three-dimensional scenes simultaneously, and being able to view the tower erection effect in real time, so that designers can more intuitively evaluate and adjust the tower position, and improve design efficiency and accuracy; using Websocket technology to transmit the tower information created on the cross-section to the line selection map of the target area in real time, and displaying the corresponding towers, insulated strings and conductors in the model library in real time in the three-dimensional scene of the line selection map, ensuring real-time updating and sharing of design data;

[0049] Second, the present invention rasterizes the remote sensing image and then performs adaptive quadtree image segmentation processing to obtain an adaptive resolution raster map; initializes the parameters of the raster map and sets the starting point and the target point; establishes an ant colony algorithm according to the elevation inspiration factor, the grid cost factor and the distance adaptive factor of each grid, calculates the transfer probability, sorts the transfer probabilities from large to small, and determines the optimal transmission line as the pre-selected line according to the sorted transfer probabilities; the present invention integrates multiple factors such as the elevation inspiration factor, the grid cost factor and the distance adaptive factor into the ant colony algorithm, which can more comprehensively reflect the influence of the actual terrain and environment on the transmission line path, so that the obtained transmission line is more in line with the actual situation and engineering requirements. BRIEF DESCRIPTION OF THE DRAWINGS

[0050] In order to more clearly illustrate the technical solutions in the embodiments of the present invention, the drawings required for use in the embodiments or the description of the prior art will be briefly introduced below. Obviously, the drawings in the following description are only some embodiments of the present invention.

[0051] Figure 1 The present invention is a flowchart of a method for digital line selection of power transmission lines based on tower pole ranking;

[0052] Figure 2 A sub-flow chart of the digital line selection method for power transmission lines based on tower pole ranking of the present invention;

[0053] Figure 3 Another sub-flow chart of the digital line selection method for power transmission lines based on tower pole ranking of the present invention;

[0054] Figure 4It is a structural block diagram of a digital route selection system for a transmission line based on tower pole ranking according to the present invention;

[0055] Figure 5 It is a structural block diagram of a computer device provided by the present invention. Detailed implementation manners

[0056] In order to make the objectives, technical solutions and advantages of the present invention clearer and more understandable, the present invention will be further described in detail below with reference to the accompanying drawings and embodiments. It should be understood that the specific embodiments described herein are only used to explain the present invention and are not used to limit the present invention.

[0057] The following describes the specific implementation of the present invention in detail with reference to specific embodiments.

[0058] Please refer to Figure 1 , in an embodiment of the present invention, a digital route selection method for a transmission line based on tower pole ranking is provided, including the following steps:

[0059] S1. Create a cross-section diagram of the target area. The cross-section diagram includes a horizontal cross-section and a vertical cross-section. The horizontal cross-section is used to present the cumulative distance, turning angle, turning position, and crossing position of the line; the vertical cross-section is used to present the height of each point on the line and the height of the crossing object;

[0060] The cross-section diagram is information reflecting the change of the ground elevation of the transmission line. Through the cross-section diagram, the terrain undulation along the line can be accurately understood to reasonably arrange the position and height of the poles and towers to ensure the safety and stability of the line;

[0061] S2. In response to the operation instruction of tower pole ranking, initialize the image data based on the position relationship between the instruction indication point and the nodes of the horizontal cross-section, create a tower pole graphic, and create a sag graphic according to whether the sag condition is met, and place the tower pole graphic into the corresponding node according to the scene structure;

[0062] S3. Calculate and generate new tower pole and sag graphic data based on the new position of the movement of the instruction indication point and display them. According to the confirmation information of the instruction indication point, use the tower pole graphic and sag graphic generated at the current position as the confirmed graphics to complete the creation of one tower pole;

[0063] S4. Use the Websocket technology to transmit the tower pole information created on the cross-section diagram to the route selection map of the target area in real time, and display the corresponding tower poles, insulator strings, and conductors in the model library in the three-dimensional scene of the route selection map in real time; among them, the position, angle, and height of the tower poles are set according to the tower pole parameters on the cross-section diagram, and the conductor K value, sag, and insulator string suspension point coordinates, etc. are calculated according to the design parameters and positions of the tower poles.

[0064] Further, please refer to Figure 2In an embodiment of the present invention, the process of creating a cross-sectional view of the target area includes the following steps:

[0065] S11. Using WebSocket technology, the coordinate information of the turning points of the pre-selected lines in the target area is transmitted to the tower ranking tool;

[0066] S12, the tower ranking tool obtains the elevation values of the line and the sideline using the DEM data interface based on the received line corner point coordinate information and the elevation data according to the set sampling interval and sideline distance;

[0067] S13. Based on the elevation data, a cross-sectional diagram of the transmission line in the target area is generated in the tower positioning tool.

[0068] In the transmission line planning project, the coordinate information of the turning points of the pre-selected line has been planned and determined by the ant colony algorithm of the present invention, and the coordinate information is stored in the database of the server side; the server side uses the WebSocket protocol to communicate with the tower ranking tool.

[0069] The pole tower ranking tool of the embodiment of the present invention is based on the received line corner point coordinate information, combined with the elevation data, and uses the DEM data interface to obtain the elevation values of the line and the sideline according to the set sampling interval and sideline distance; after receiving the corner point coordinate information, the pole tower ranking tool needs to generate a cross-sectional view of the transmission line in combination with the elevation data; the pole tower ranking tool needs to use the DEM (digital elevation model) data interface to obtain the elevation values of the line and the sideline according to the set sampling interval and sideline 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.

[0070] The tower ranking tool uses ArcGIS API as the DEM data interface. Specifically, according to the project requirements, the sampling interval is set to 50 meters and the sideline distance is set to 10 meters. The sampling point coordinates along the line are generated based on the corner point coordinate information and the sampling interval. At the same time, the sampling point coordinates of the sideline are generated based on the sideline distance. The elevation value of each sampling point is queried using the ElevationService of ArcGIS API.

[0071] Furthermore, after obtaining the elevation values of the line and the edge, the tower ranking tool can generate a cross-sectional diagram of the transmission line, which can intuitively display the elevation changes of the line.

[0072] The present invention creates horizontal and vertical section diagrams to comprehensively and intuitively display the cumulative distance, turning angle, position, crossing position, height of each point and height of crossing objects of the transmission line, providing accurate basic data for tower ranking; inserting, moving, modifying and deleting towers in two-dimensional and three-dimensional scenes simultaneously, and being able to view the tower erection effect in real time, so that designers can more intuitively evaluate and adjust the tower position, and improve design efficiency and accuracy; using Websocket technology to transmit the tower information created on the section diagram to the line selection map of the target area in real time, and displaying the corresponding towers, insulated strings and conductors in the model library in real time in the three-dimensional scene of the line selection map, ensuring real-time update and sharing of design data;

[0073] The present invention realizes real-time information interaction between the line selection map and the tower ranking tool through Websocket technology, wherein WebSocket technology is a protocol for full-duplex communication on a single TCP connection, which allows a persistent connection to be established between the browser and the server, and data can be updated in time, greatly reducing the delay of data transmission.

[0074] For further information, please refer to Figure 3 , the pre-selected routes in the target area are obtained by the following steps:

[0075] S111, acquiring a remote sensing image of a target area;

[0076] In step S111, with respect to the acquisition of remote sensing images, remote sensing images can be acquired through a variety of methods, including satellite remote sensing, aerial remote sensing, etc. Satellite remote sensing images have the advantages of wide coverage, high resolution, and stable data update cycle, such as multispectral and hyperspectral images provided by satellites such as the Landsat series and Sentinel series. Aerial remote sensing has a higher resolution and is suitable for small-scale detailed research, such as images acquired using high-resolution cameras carried by drones or manned aircraft; remote sensing images can be multispectral images (such as RGB, near-infrared and other bands), hyperspectral images (containing more bands and providing richer spectral information of ground objects) or thermal infrared images, etc.;

[0077] Furthermore, the acquired remote sensing images usually need 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), etc.

[0078] Please continue to refer to Figure 3 In an embodiment of the present invention, the method further comprises the steps of:

[0079] S112. After rasterizing the remote sensing image, perform adaptive quadtree image segmentation processing to obtain an adaptive resolution raster map; initialize the parameters of the raster map, and set the starting point and the target point.

[0080] Specifically, in step S112 of the present invention, perform ground object recognition on the remote sensing image to obtain a ground object recognition map, and then read and convert it into a grayscale image; rasterize the grayscale image to obtain a grayscale image composed of regularly arranged initial grids, and perform adaptive quadtree image segmentation on each initial grid in turn; arrange each segmented initial grid in the rasterized arrangement order to obtain an adaptive resolution raster map.

[0081] Among them, for ground object recognition of the remote sensing image, supervised classification or unsupervised classification methods can be used to identify different ground object types (such as vegetation, water bodies, buildings, etc.) and generate a ground object recognition map; then convert the ground object recognition map into a grayscale image for subsequent rasterization processing; the grayscale value of each pixel in the grayscale image can represent a certain attribute or feature of the ground object, such as vegetation coverage, ground object height, etc.

[0082] Furthermore, rasterize the grayscale image, that is, divide the image into regularly arranged initial grids, and each grid corresponds to a region in the image. The rasterization resolution can be selected according to actual needs and computing resources.

[0083] Furthermore, in the embodiment of the present invention, perform adaptive quadtree segmentation on each initial grid, and dynamically adjust the segmentation granularity according to the complexity of the information in the grid. In areas with less information change (such as large areas of flat vegetation areas), use larger segmentation blocks to reduce the data volume; while in areas with large information change (such as mountainous areas with large terrain undulations or areas with complex ground object types), use smaller segmentation blocks to retain more detailed information. The segmentation process usually recursively divides the grid into four sub-grids and judges whether to continue segmentation according to certain criteria (such as the variance of grayscale values, the diversity of ground object types, etc.) until the stop condition is met.

[0084] Furthermore, arrange the segmented initial grids in the rasterized arrangement order to form a raster map with adaptive resolution; this map can adaptively adjust the resolution according to the complexity of the terrain and ground objects, which not only ensures the retention of important information but also improves the efficiency of data processing.

[0085] Initialize the parameters of the raster map, including defining the attributes of each grid.

[0086] In the generated raster map, the parameters of each raster are initialized, such as elevation (obtained from digital elevation model (DEM) data), feature cost (set according to feature type, such as lower cost in vegetation area and higher cost in building area); the locations of the starting point and target point are determined through GIS data;

[0087] S113. According to the elevation inspiration factor, grid cost factor and distance adaptive factor of each grid, an ant colony algorithm is established to calculate the transfer probability, and the transfer probabilities are sorted from large to small. According to the sorted transfer probabilities, the optimal transmission line is determined as the pre-selected line.

[0088] In one implementation of the present invention, the elevation heuristic factor is used to guide the ants to choose a path with a smaller elevation change, so as to reduce the construction difficulty and cost of the transmission line;

[0089] In one implementation of the present invention, the grid cost factor comprehensively considers the impact of factors such as landform type and terrain slope on the construction cost of the transmission line. For example, the cost of crossing a vegetation area is relatively low, while the cost of crossing a built-up area or a steep slope is high;

[0090] In the ant colony algorithm, the parameters of the ant colony algorithm are set, such as the number of ants is 50, the maximum number of iterations is 100, the pheromone volatility factor ρ = 0.1, the weight index 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 round of iteration, the ants search for paths from the starting point to the target point according to the transfer probability, and update the pheromone content on the path. After 100 iterations, the pheromone accumulates more on certain paths, and the path with the largest total amount of pheromone is selected as the optimal path, which is the pre-selected transmission line path.

[0091] Specifically, in the ant colony algorithm of the embodiment of the present invention, in the step of calculating the transition probability, the calculation formula of the transition probability is expressed as:

[0092]

[0093] In the formula, represents the probability that ant k moves from node i to node j at time t; allowed k represents the transfer target node of ant k; τ j represents the pheromone content, α represents the pheromone index; η j represents the distance adaptive factor, β represents the distance adaptive factor exponent; h j represents the grid cost, γ represents the grid cost factor index; δ represents the elevation heuristic factor index, s j represents the elevation heuristic factor; a represents the index of the next node that ant k can choose at the current node i.

[0094] Therefore, the present invention rasterizes the remote sensing image and then performs adaptive quadtree image segmentation processing to obtain an adaptive resolution raster map; initializes the parameters of the raster map, and sets the starting point and the target point; establishes an ant colony algorithm according to the elevation inspiration factor, the grid cost factor and the distance adaptive factor of each grid, calculates the transfer probability, sorts the transfer probabilities from large to small, and determines the optimal transmission line as the pre-selected line according to the sorted transfer probabilities; the present invention integrates multiple factors such as the elevation inspiration factor, the grid cost factor and the distance adaptive factor into the ant colony algorithm, which can more comprehensively reflect the influence of the actual terrain and environment on the transmission line path, so that the obtained path is more in line with the actual situation and engineering requirements.

[0095] Furthermore, at the pheromone content τ j In , 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 is expressed as:

[0096]

[0097] Where q0 represents the initial pheromone concentration; x represents the Euclidean distance from node i to node j; d avg Represents the average distance from the starting point to the target point.

[0098] Furthermore, the grid cost of each grid is realized by the following steps:

[0099] The grid cost is taken as the target layer, the environmental factors, social factors, construction factors and operation and maintenance factors are taken as the factor layer, and the evaluation index is taken as the evaluation index layer, so as to construct a hierarchical model;

[0100] The hierarchical model is constructed as a hierarchical analysis model using the analytical hierarchy process (AHP). The evaluation indicators under each factor layer are quantitatively evaluated according to the 0.1 to 0.9 scale in the analytical hierarchy process (AHP) to obtain the evaluation data. Then, the priority relationship matrix is constructed for the evaluation data based on the fuzzy analytical hierarchy process (FAHP). The weights of the evaluation indicators under each factor layer are solved through the priority relationship matrix, and the comprehensive weights of each evaluation indicator on the target line selection cost are solved, and the grid cost is obtained according to the comprehensive weights.

[0101] In the transmission line path planning, the determination of grid cost needs to consider multiple factors comprehensively. First, grid cost is taken as the target layer, then environmental factors, social factors, construction factors and operation and maintenance factors are taken as the factor layer, and finally specific evaluation indicators are taken as the evaluation indicator layer to construct a hierarchical model. This hierarchical model can clearly show the hierarchical relationship between various factors and provide a framework for subsequent quantitative evaluation.

[0102] Suppose in a transmission line planning project in a mountainous area, the following hierarchical model is constructed:

[0103] Goal layer: Grid cost; Factor layer: Environmental factors, social factors, construction factors, and operation and maintenance factors; In the evaluation index layer, for environmental factors, there are: Vegetation coverage, water body proximity, ecological sensitivity; For social factors, there are: Population density, land use type, cultural relics proximity; For construction factors, there are: Terrain slope, soil type, traffic convenience; For operation and maintenance factors, there are: Inspection difficulty, fault repair difficulty, maintenance cost;

[0104] In the embodiment of the present invention, the evaluation index weights under each factor layer are integrated to obtain the comprehensive weight of each evaluation index on the target route selection cost. Then, according to the comprehensive weight and the performance of each grid on the evaluation index, the cost of each grid is calculated.

[0105] Furthermore, in the distance adaptation factor η j The function of the heuristic factor is expressed as:

[0106]

[0107]

[0108] 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, and N max represents the maximum allowed iteration number.

[0109] Furthermore, in the elevation heuristic factor s j The elevation heuristic function is expressed as the reciprocal of the absolute value of the elevation difference between two adjacent nodes, and is expressed as: s i and s j represent the elevation values of node i and node j respectively. The smaller the elevation difference, the flatter the path, the lower the construction and dimension difficulty. Therefore, the greater the heuristic value for the ant colony algorithm, and the higher the probability that the ant selects this path;

[0110] Furthermore, in an alternative embodiment, to further consider the elevation continuity, the embodiment of the present invention also introduces an elevation continuity function, and its expression is: This continuity function reflects the continuity of the path in elevation. The lower the average elevation, the easier the path is to be selected.

[0111] Therefore, the present invention can combine the elevation continuity function and the elevation heuristic function to more comprehensively guide ants in considering elevation factors when choosing paths in the ant algorithm, so as to find a better transmission line path.

[0112] Please refer to Figure 4 , in another embodiment of the present invention, a digital route selection system for transmission lines based on tower pole ranking is provided, including the following modules:

[0113] A cross-section drawing creation module 10, configured to create a cross-section drawing of a target area, where the cross-section drawing includes a horizontal cross-section and a vertical cross-section. The horizontal cross-section is used to present the cumulative distance, turning angle, turning position, and crossing position of the line; the vertical cross-section is used to present the height of each point on the line and the height of the crossing object;

[0114] A first tower pole creation module 20, configured to initialize image data based on the position relationship between the instruction indication point and the nodes of the horizontal cross-section in response to an operation instruction for tower pole ranking, create a tower pole graphic, and create a sag graphic according to whether the sag condition is met, and place the tower pole graphic into the corresponding node according to the scene structure;

[0115] A second tower pole creation module 30, configured to calculate and generate new tower pole and sag graphic data based on the new position of the instruction indication point and display them. According to the confirmation information of the instruction indication point, the tower pole graphic and sag graphic generated at the current position are used as confirmation graphics to complete the creation of a tower pole once;

[0116] A scene construction module 40, configured to use the Websocket technology to transmit the tower pole information created on the cross-section drawing to the route selection map of the target area in real time, and display the corresponding tower poles, insulator strings, and conductors in the model library in the three-dimensional scene of the route selection map in real time. Among them, the position, angle, and height of the tower poles are set according to the tower pole parameters on the cross-section drawing, and the conductor K value, sag, and insulator string hanging point coordinates, etc. are calculated based on the design parameters and positions of the tower poles.

[0117] Figure 5 Shows the internal structure diagram of a computer device in an embodiment.

[0118] 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. Among them, 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. When the computer program is executed by the processor, the processor can implement a digital route selection method for transmission lines based on tower pole ranking.

[0119] The internal memory may also store a computer program, which when executed by the processor, enables the processor to execute a digital route selection method for a transmission line based on the tower arrangement. 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 covering the display screen, or a button, trackball or touchpad provided on the outer shell of the computer device, or an external keyboard, touchpad or mouse, etc.

[0120] Those skilled in the art can understand that Figure 5 the structure shown in is only a block diagram of some structures related to the solution of this application, and does not constitute a limitation on the computer device to which the solution of this application is applied. The specific computer device may include more or fewer components than those shown in the figure, or combine some components, or have a different component layout.

[0121] In one embodiment, the digital route selection system for a transmission line based on the tower arrangement provided in this application can be implemented in the form of a computer program, and the computer program can run on a computer device as Figure 5 shown. Each program module constituting the route selection system can be stored in the memory of the computer device.

[0122] The digital route selection method for a transmission line based on the tower arrangement disclosed in the embodiments of the present invention has been introduced in detail above. Specific examples are used in this article to elaborate on the principle and implementation manner of the present invention. The description of the above embodiments is only used to help understand the method and its core idea of the present invention; at the same time, for those of ordinary skill in the art, according to the idea of the present invention, there will be changes in the specific implementation manner and application scope. In summary, the content of this specification should not be construed as a limitation on the present invention.

Claims

1. A digital line selection method for transmission lines based on tower pole ranking, characterized in that The line selection method comprises the following steps: Create a cross-section diagram of the target area. The cross-section diagram includes a horizontal section and a longitudinal section. The horizontal section is used to present the cumulative distance, turning angle, turning position and crossing position of the line; the longitudinal section is used to present the height of each point on the line and the height of the crossing object; In response to the operation instruction of the tower arrangement, the image data is initialized based on the position relationship between the instruction indication point position and the plane section node, a tower graphic is created, and a sag graphic is created according to whether a sag condition is formed, and the tower graphic is placed in the corresponding node according to the scene structure; Based on the new position of the instruction indication point, new tower and sag graphic data are calculated and displayed. According to the confirmation information of the instruction indication point, the tower graphic and sag graphic generated at the current position are used as confirmation graphics to complete the creation of a tower. Websocket technology is used to transmit the pole tower information created on the cross-section diagram to the line selection map of the target area in real time, and the corresponding pole towers, insulating strings and conductors in the model library are displayed in real time in the three-dimensional scene of the line selection map; the position, angle and height of the pole tower are set according to the pole tower parameters on the cross-section diagram, and the conductor K value, sag and insulating string hanging point coordinates are calculated according to the design parameters and position of the pole tower.

2. A digital line selection method for a transmission line based on tower pole ranking according to claim 1, characterized in that, The steps for creating a cross-section diagram of a target area include: The WebSocket technology is used to transmit the coordinate information of the turning points of the pre-selected lines in the target area to the tower ranking tool; The tower ranking tool uses the DEM data interface to obtain the elevation values of the line and the sideline based on the received line corner point coordinate information, combined with the elevation data, according to the set sampling interval and sideline distance; Based on the elevation data, a cross-section diagram of the transmission lines in the target area is generated in the tower positioning tool.

3. The digital line selection method for transmission lines based on tower pole ranking according to claim 2, wherein The preselected routes in the target area are obtained by the following steps: Acquire remote sensing images of the target area; After rasterizing the remote sensing image, an adaptive quadtree image segmentation process is performed to obtain an adaptive resolution raster map; Initialize the parameters of the grid map and set the starting point and target point; According to the elevation inspiration factor, grid cost factor and distance adaptive factor of each grid, an ant colony algorithm is established to calculate the transfer probability, and the transfer probabilities are sorted from large to small. According to the sorted transfer probabilities, the optimal transmission line is determined as the pre-selected line.

4. The digital line selection method for transmission lines based on tower pole ranking according to claim 3, wherein, The steps to obtain an adaptive resolution grid map include: Perform ground object recognition on the remote sensing image to obtain a ground object recognition map, which is then read and converted into a grayscale map; The grayscale image is rasterized to obtain a grayscale image composed of regularly arranged initial grids, and each initial grid is subjected to adaptive quadtree image segmentation in turn; Arrange each segmented initial grid in the order of arrangement after rasterization to obtain an adaptive resolution grid map.

5. The digital line selection method for transmission lines based on tower pole ranking according to claim 4, characterized in that, In the step of establishing an ant colony algorithm and calculating the transition probability, the calculation formula of the transition probability is expressed as: In the formula, represents the probability that ant k transfers from node i to node j at time t; allowed k represents the transfer target node of ant k; τ j represents the pheromone content, and α represents the pheromone index; η j represents the distance adaptation factor, β represents the distance adaptation factor exponent; h j represents the grid cost, γ represents the grid cost factor exponent; δ represents the elevation heuristic factor index, s j represents the elevation heuristic factor; a represents the index of the next node that ant k can choose at the current node i.

6. The digital line selection method for transmission lines based on tower pole ranking according to claim 5, characterized in that, At the pheromone content τ j A non-linear activation function is introduced to convert the initial pheromone concentration from a fixed value into a variable related to the position of the grid nodes. The initial pheromone is expressed as: Wherein, q0 represents the initial pheromone concentration; x represents the Euclidean distance from node i to node j; d avg represents the average distance from the starting point to the target point.

7. A digital line selection method for transmission lines based on tower pole ranking according to claim 6, characterized in that The grid cost for each grid is achieved by the following steps: The grid cost is taken as the target layer, the environmental factors, social factors, construction factors and operation and maintenance factors are taken as the factor layer, and the evaluation index is taken as the evaluation index layer, so as to construct a hierarchical model; The analytic hierarchy process (AHP) is used to construct a hierarchical analysis model for the hierarchical model. The evaluation indicators under each factor layer are quantitatively evaluated according to the 0.1 to 0.9 scale in the AHP, and evaluation data are obtained. Then, based on the fuzzy analytic hierarchy process (FAHP), a priority relation matrix is constructed for the evaluation data, and the weights of the evaluation indicators under each factor layer are solved through the priority relation matrix. The comprehensive weights of each evaluation indicator for the target route selection cost are solved, and the grid cost is obtained according to the comprehensive weights.

8. A digital line selection method for a transmission line based on tower pole ranking according to claim 7, characterized in that In the distance adaptation factor η j the function of the heuristic factor is expressed as: where 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 number of iterations, and N max represents the maximum allowed number of iterations.

9. A digital line selection method for transmission lines based on tower pole ranking according to claim 8, characterized in that In the elevation heuristic factor s j the elevation heuristic function is expressed as the reciprocal of the absolute value of the elevation difference between two adjacent nodes, expressed as: s i and s j represent the elevation values of node i and node j respectively. The smaller the elevation difference, the flatter the path, the lower the construction and dimensional difficulty. Therefore, the greater the heuristic value for the ant colony algorithm, and the higher the probability that the ant chooses this path.

10. A route selection system for implementing a route selection method for a transmission line digital route selection based on tower pole ranking as described in any one of claims 1 to 9, characterized in that, The route selection system includes the following modules: A cross-section diagram creation module for creating a cross-section diagram of the target area. The cross-section diagram includes a horizontal cross-section and a vertical cross-section. The horizontal cross-section is used to present the cumulative distance, turning angle, turning position, and crossing position of the line; the vertical cross-section is used to present the height of each point on the line and the height of the crossing object. A first tower creation module for initializing image data based on the position relationship between the instruction indication point and the horizontal cross-section node in response to the operation instruction of tower ranking, creating a tower graphic, and creating a sag graphic according to whether the sag condition is met, and placing the tower graphic into the corresponding node according to the scene structure. A second tower creation module for calculating and generating new tower and sag graphic data based on the new position of the instruction indication point and displaying them. According to the confirmation information of the instruction indication point, the tower graphic and sag graphic generated at the current position are used as the confirmation graphics to complete the creation of a tower. A scene construction module for using the Websocket technology to transmit the tower information created on the cross-section diagram to the route selection map of the target area in real time, and displaying the corresponding towers, insulator strings, and conductors in the model library in the three-dimensional scene of the route selection map. Among them, the position, angle, and height of the tower are set according to the tower parameters on the cross-section diagram, and the conductor K value, sag, and insulator string suspension point coordinates, etc. are calculated according to the design parameters and positions of the towers.

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