A power transmission channel optimization method, device, equipment and medium

Abstract

The application relates to a power transmission channel optimization method, device, equipment and medium, and belongs to the technical field of power transmission engineering. The method comprises the following steps: acquiring multi-source data of a power transmission channel area; based on the multi-source data, generating a three-dimensional model, a panoramic oblique image map, a digital elevation model and a digital surface model of the power transmission channel area respectively; acquiring a newly-built line path request of the power transmission channel area; based on the newly-built line path request, the three-dimensional model, the panoramic oblique image map, the digital elevation model and the digital surface model, generating a target line path of the power transmission channel area; based on the target line path, determining cross-section information along the target line path, and based on the cross-section information and a preset tower arrangement rule, determining a plurality of tower arrangements; based on the target line path and the plurality of tower arrangements of the target line path, generating a power transmission channel optimization scheme. The application has the advantages of realizing efficient and reliable power transmission channel planning and design, and improving design efficiency and accuracy.

Description

Technical Field

[0001] The present invention relates to the technical field of power transmission engineering, and in particular to a power transmission channel optimization method, device, equipment and medium. Background Art

[0002] The design and optimization of transmission corridors is a crucial component of power engineering, crucial for ensuring the safe operation of power facilities and improving overall power transmission efficiency. Proper transmission corridor design not only improves power transmission efficiency but also reduces losses during transmission, lowering construction and maintenance costs and minimizing environmental impact. As economic development drives growing demand for electricity, optimizing transmission corridors to accommodate these new demands has become a pressing issue.

[0003] Currently, to optimize transmission corridor design, the industry generally relies on traditional manual site surveys and design methods. This approach primarily involves collecting basic geographic data about the transmission corridor area, such as topographic maps and geological reports, and then manually designing based on the fundamental requirements of power transmission. Alternatively, some design firms utilize existing two-dimensional drawings and simple Geographic Information System (GIS) software to determine route selection and tower placement. Furthermore, the use of drones to conduct patrols of the transmission corridor area and subsequently conduct preliminary designs based on these patrol images is also a common practice.

[0004] However, these traditional approaches present several challenges in transmission channel design. Relying on manual judgment and two-dimensional drawings, the design process is cumbersome and time-consuming, making it difficult to quickly respond to changes in line routing. Inadequate integrated application and analysis of multi-source data limits line path optimization, making it difficult to meet the stringent transmission efficiency and safety requirements of modern power engineering. Summary of the Invention

[0005] The technical problem to be solved by the present invention is to provide a method, device, equipment and medium for optimizing a power transmission channel, aiming to solve at least one of the above technical problems.

[0006] The technical solution of the present invention to solve the above technical problems is as follows:

[0007] In a first aspect, the present application provides a method for optimizing a power transmission channel, which adopts the following technical solutions:

[0008] A method for optimizing a power transmission channel, comprising:

[0009] Acquiring multi-source data of the transmission channel area, wherein the multi-source data includes three-dimensional point cloud data, oblique image data, and stereo image pair data;

[0010] Based on the multi-source data, a three-dimensional model, a panoramic oblique image map, a digital elevation model and a digital surface model of the transmission channel area are generated respectively;

[0011] Obtaining a new line path request for the transmission channel area, and generating a target line path for the transmission channel area based on the new line path request, the three-dimensional model, the panoramic oblique image, the digital elevation model, and the digital surface model, wherein the new line path request includes a starting point and an end point of the target line path;

[0012] Determining, based on the target line path, cross-sectional information along the target line path, and determining, based on the cross-sectional information and a preset tower arrangement rule, a plurality of tower positions, wherein the cross-sectional information is a parameter characterizing topographical features along the target line path;

[0013] Based on the target line path and the multiple tower positions of the target line path, a transmission channel optimization plan is generated to optimize the transmission channel based on the transmission channel optimization plan, and the transmission channel optimization plan includes a two-dimensional display drawing and a three-dimensional display model.

[0014] The present invention has the beneficial effect of generating high-precision three-dimensional models, panoramic oblique images, digital elevation models, and digital surface models by acquiring multi-source data about the transmission corridor area, thereby providing detailed topographic information about the transmission corridor area. Based on this information, a target route that meets actual requirements is generated based on the new line route request, and reasonable tower positioning is further determined. Ultimately, a transmission corridor optimization plan consisting of two-dimensional drawings and three-dimensional models is generated, achieving efficient and reliable transmission corridor planning and design. This method avoids the tedious manual judgment and drawing process required in traditional methods, significantly improving design efficiency and accuracy.

[0015] On the basis of the above technical solution, the present invention can also be improved as follows.

[0016] Furthermore, the generating of a three-dimensional model, a panoramic oblique image map, a digital elevation model and a digital surface model of the transmission channel area based on the multi-source data includes:

[0017] Generate a 3D model of the transmission channel area based on 3D point cloud data;

[0018] Generate a panoramic oblique image of the transmission channel area based on the oblique image data;

[0019] Generate a digital elevation model of the transmission corridor area based on stereo image pair data;

[0020] Based on 3D point cloud data and stereo image pair data, a digital surface model of the transmission channel area is generated.

[0021] The beneficial effects of adopting this further solution are: generating a three-dimensional stereo model of the transmission corridor area based on three-dimensional point cloud data, which accurately reflects the topographic features of the transmission corridor area; generating a panoramic oblique image map based on oblique image data, which provides all-round perspective information of the transmission corridor area; generating a digital elevation model based on stereo image pair data, which accurately describes the elevation information of the ground; and generating a digital surface model based on three-dimensional point cloud data and stereo image pair data, which achieves a refined expression of surface features and their changes. The above technical solution comprehensively utilizes different data sources to generate multiple types of models and images, improving the comprehensiveness and accuracy of information about the transmission corridor area.

[0022] Furthermore, generating a target line path for the transmission channel area based on the new line path request, the three-dimensional model, the panoramic oblique image, the digital elevation model, and the digital surface model includes:

[0023] Generate an initial line path for the power transmission channel area based on the starting point and the ending point of the target line path and a preset path planning method;

[0024] Dividing the initial line path according to the area type of the area passed by the initial line path and a preset length division rule to obtain multiple sub-line paths;

[0025] For any of the sub-route paths, based on the three-dimensional model, the panoramic oblique image, the digital elevation model, the digital surface model, and the area type of the sub-route path, determining whether the sub-route path meets the set evaluation requirements corresponding to the area type;

[0026] For any of the sub-circuit paths, if the sub-circuit path meets the set evaluation requirements corresponding to the area type, the sub-circuit path is used as the target sub-circuit path;

[0027] For any of the sub-circuit paths, if the sub-circuit path does not meet the set evaluation requirements corresponding to the area type, modify the sub-circuit path based on the evaluation result until the sub-circuit path meets the set evaluation requirements, and use the sub-circuit path that meets the set evaluation requirements as the target sub-circuit path;

[0028] A target line path of the power transmission channel area is generated based on each of the target sub-line paths.

[0029] The beneficial effect of adopting this further approach is that by dividing the initial route path into multiple sub-route paths and applying specific assessment requirements to different area types, more refined path planning is achieved. For each sub-route path, a comprehensive assessment based on the 3D model, panoramic oblique imagery, digital elevation model, and digital surface model can more accurately determine whether the path meets the set assessment requirements for the corresponding area type. If the sub-route path does not meet the assessment requirements, the method can modify the path based on the assessment results until the set assessment requirements are met, ensuring that it meets both technical requirements and is economical and feasible.

[0030] Furthermore, the generating of the initial line path of the power transmission channel area based on the starting point and the ending point of the target line path and a preset path planning method includes:

[0031] Randomly generating a plurality of initial path plans based on the starting point and the ending point of the target route, and constructing a population based on the plurality of initial path plans, wherein the population includes a plurality of individuals, each individual representing an initial path plan;

[0032] Based on a preset fitness function and a set economic cost parameter, a fitness evaluation is performed on each individual in the current iteration population to obtain a fitness value of each individual in the current iteration population, wherein the fitness value represents the economic cost of the corresponding initial path plan;

[0033] Based on the fitness value of each individual, the crossover algorithm and the mutation algorithm, exploring at least one new individual;

[0034] generating a new population based on at least one new individual, a plurality of previously unexplored individuals, and a selection algorithm;

[0035] Determining an optimal fitness value of the new population based on the selection algorithm and the fitness value of each individual in the new population;

[0036] The individual with the best fitness value in the new population is used as the optimization direction of the population in the next iteration and the cycle is repeated until the number of iterations is met, and the initial path solution corresponding to the individual with the smallest fitness value in the population in the current iteration cycle is used as the initial line path of the transmission channel area.

[0037] The beneficial effect of adopting this further solution is that this transmission channel optimization method can automatically generate the initial line path with the lowest economic cost based on a genetic algorithm. This solution first constructs a population by randomly generating multiple initial path solutions. Then, the fitness value of each individual is evaluated using a fitness function and economic cost parameters to achieve economic optimization of the path solution.

[0038] Furthermore, after generating the target line path of the transmission channel area based on each target sub-line path, the method further includes:

[0039] The target line path is re-inspected to obtain a re-inspection result, wherein the re-inspection includes checking whether the target line path avoids lightning activity areas and geological disaster areas, and checking whether the target line path meets the technical requirements for power transmission.

[0040] The beneficial effect of adopting the above further solution is: by re-inspecting the target line path, it is ensured that the target line path avoids lightning activity areas and geological disaster areas and meets the technical requirements of power transmission, thereby improving the safety and reliability of the transmission channel.

[0041] Further, determining cross-sectional information along the target line path based on the target line path, and determining a plurality of tower positions based on the cross-sectional information and a preset tower arrangement rule, includes:

[0042] Determining cross-sectional information along the target route based on corner pile information of the target route and TL optimization design software;

[0043] Determine the ranking of multiple candidate towers based on the manual tower ranking function of the TL optimization design software;

[0044] For any of the candidate tower positions, calculating the power parameters, stress parameters and stability parameters of the candidate tower position based on preset parameter calculation rules and cross-sectional information;

[0045] For any of the candidate tower positions, determining whether the power parameters, stress parameters, and stability parameters of the candidate tower position meet the set verification requirements;

[0046] For any of the candidate tower rankings, if the power parameters, stress parameters and stability parameters of the candidate tower ranking all meet the set verification requirements, the candidate tower ranking will be used as the tower ranking;

[0047] For any of the candidate tower positions, if the power parameters, stress parameters or stability parameters of the candidate tower position do not meet the set verification requirements, the candidate tower position is adjusted based on the manual tower ranking function of the TL optimization design software until the power parameters, stress parameters and stability parameters of the candidate tower position all meet the set verification requirements, and the candidate tower position is used as the tower position.

[0048] The beneficial effect of adopting this further approach is that, by combining the corner stake information of the target line path with the TL optimization design software, precise cross-sectional information along the line can be obtained, including key data such as terrain, landforms, and obstacles. This facilitates more accurate determination of tower positions and heights during the subsequent tower positioning process, ensuring the safety and stability of the transmission line. The manual tower positioning function of the TL optimization design software can generate multiple candidate tower positioning schemes. By performing detailed calculations and verification of these power parameters, stress parameters, and stability parameters, the optimal tower layout scheme can be selected.

[0049] Furthermore, after determining the positions of the plurality of towers based on the cross-sectional information and the preset tower arrangement rules, the method further includes:

[0050] Based on the digital elevation model, calculating the wind deflection of each tower in the target line path under different wind directions and wind speeds;

[0051] Calculating the wind deviation amount of the target route path based on a preset wind deviation calculation model and the wind deviation situation;

[0052] Calculating size information of obstacles along the target route based on the panoramic oblique image, the size information including position, height, and width;

[0053] Calculating a minimum safe distance between a target route and the obstacle based on the wind deviation and the size information of the obstacle;

[0054] The minimum safety distance is compared with the set safety distance requirement to obtain a verification result so that the management personnel can adjust the target line path according to the verification result.

[0055] The beneficial effects of adopting the above further scheme are: by calculating the wind deviation conditions along the target line path under different wind directions and wind speeds based on the digital elevation model, and calculating the wind deviation amount of the target line path in combination with a preset wind deviation calculation model, the accurate assessment of the impact of wind deviation on the transmission line is improved; further, the size information of obstacles along the target line path is calculated based on the panoramic oblique image map, and the minimum safe distance between the target line path and the obstacle is calculated in combination with the wind deviation amount, and the minimum safe distance is compared with the set safety distance requirement to obtain a verification result, so that management personnel can adjust the target line path in time according to the verification result, effectively ensuring the safety of the transmission line.

[0056] In a second aspect, the present application provides a power transmission channel optimization device, which adopts the following technical solutions:

[0057] A power transmission channel optimization device, comprising:

[0058] An acquisition module is used to acquire multi-source data of the transmission channel area, wherein the multi-source data includes three-dimensional point cloud data, oblique image data and stereo image pair data;

[0059] A generation module, configured to generate a three-dimensional model, a panoramic oblique image map, a digital elevation model, and a digital surface model of the transmission channel area based on the multi-source data;

[0060] a line path generation module, configured to obtain a new line path request for the transmission channel area, and generate a target line path for the transmission channel area based on the new line path request, the three-dimensional model, the panoramic oblique image, the digital elevation model, and the digital surface model, wherein the new line path request includes a starting point and an end point;

[0061] a tower ranking module, configured to determine, based on the target line path, cross-sectional information along the target line path, and determine the ranking of a plurality of towers based on the cross-sectional information and a preset tower arrangement rule, wherein the cross-sectional information is a parameter characterizing topographical features along the target line path;

[0062] A display module is used to generate a transmission channel optimization plan based on the target line path and the multiple tower positions of the target line path, and the transmission channel optimization plan includes a two-dimensional display drawing and a three-dimensional display model.

[0063] In a third aspect, the present application provides an electronic device, which adopts the following technical solution:

[0064] An electronic device comprises a memory and a processor, wherein the memory stores a computer program that can be loaded by the processor and executes a power transmission channel optimization method according to any one of the first aspects.

[0065] In a fourth aspect, the present application provides a computer-readable storage medium, which adopts the following technical solution:

[0066] A computer-readable storage medium stores a computer program that can be loaded by a processor and executes the power transmission channel optimization method described in any one of the first aspects.

[0067] Additional aspects and advantages of the present application will be given in part in the following description, which will become apparent from the following description, or will be learned through practice of the present application. BRIEF DESCRIPTION OF THE DRAWINGS

[0068] Figure 1 A schematic flow chart of a method for optimizing a power transmission channel provided by one embodiment of the present invention;

[0069] Figure 2A block diagram of a power transmission channel optimization device provided by one embodiment of the present invention;

[0070] Figure 3 A module block diagram of an electronic device provided by one embodiment of the present invention. DETAILED DESCRIPTION

[0071] To make the purpose, technical solutions, and advantages of the embodiments of this application more clear, the technical solutions in the embodiments of this application will be clearly and completely described below in conjunction with the drawings in the embodiments of this application. Obviously, the described embodiments are part of the embodiments of this application, not all of the embodiments. Based on the embodiments in this application, all other embodiments obtained by ordinary technicians in this field without making creative efforts are within the scope of protection of this application.

[0072] An embodiment of the present application provides a method for optimizing a power transmission channel, which can be executed by an electronic device. The electronic device can be a server or a mobile terminal device, wherein the server can be an independent physical server, a server cluster or a distributed system composed of multiple physical servers, or a cloud server that provides cloud computing services; the mobile terminal device can be a laptop computer, a desktop computer, etc., but is not limited to this.

[0073] The following is a further detailed description of the embodiments of the present application in conjunction with the accompanying drawings. Figure 1 As shown, a transmission channel optimization method includes steps S1 to S5:

[0074] Step S1, acquiring multi-source data of the transmission channel area, wherein the multi-source data includes three-dimensional point cloud data, oblique image data, and stereo image pair data;

[0075] In one embodiment, three-dimensional point cloud data of the transmission channel area is obtained by a laser three-dimensional scanner, oblique image data of the transmission channel area is obtained by an oblique photography system, remote sensing images of the transmission channel are obtained by satellite remote sensing, and stereo image pair data are generated by stereo image pair technology.

[0076] Step S2, generating a three-dimensional model, a panoramic oblique image, a digital elevation model, and a digital surface model of the transmission channel area based on the multi-source data;

[0077] In one embodiment, a three-dimensional model of the transmission channel area is generated based on the three-dimensional point cloud data;

[0078] Generate a panoramic oblique image of the transmission channel area based on the oblique image data;

[0079] Generate a digital elevation model of the transmission corridor area based on stereo image pair data;

[0080] Based on 3D point cloud data and stereo image pair data, a digital surface model of the transmission channel area is generated.

[0081] Step S3: obtaining a new line path request for the transmission channel area, and generating a target line path for the transmission channel area based on the new line path request, the three-dimensional model, the panoramic oblique image, the digital elevation model, and the digital surface model, wherein the new line path request includes a starting point and an end point of the target line path;

[0082] In one embodiment, the administrator can trigger a new line path request through a mouse, touch screen or button. The electronic device responds to the user's trigger action for the new path of the transmission channel, obtains the new line path request for the transmission channel area, and generates a target line path for the transmission channel area based on the new line path request, the three-dimensional model, the panoramic oblique image, the digital elevation model and the digital surface model.

[0083] Specifically, step S3 mainly includes the following sub-steps:

[0084] Step S31, generating an initial line path of the power transmission channel area based on the starting point and the ending point of the target line path and a preset path planning method;

[0085] In this embodiment, step S31 specifically includes:

[0086] Randomly generating a plurality of initial path plans based on the starting point and the ending point of the target route, and constructing a population based on the plurality of initial path plans, wherein the population includes a plurality of individuals, each individual representing an initial path plan;

[0087] Based on a preset fitness function and a set economic cost parameter, a fitness evaluation is performed on each individual in the current iteration population to obtain a fitness value of each individual in the current iteration population. The preset fitness function is used to evaluate the economic cost of each individual. The fitness value represents the economic cost of the corresponding initial path plan, which includes but is not limited to multiple factors such as route length, construction difficulty, terrain impact, and environmental impact;

[0088] Based on the fitness value of each individual, the crossover algorithm and the mutation algorithm, exploring at least one new individual;

[0089] generating a new population based on at least one new individual, a plurality of previously unexplored individuals, and a selection algorithm;

[0090] Determining an optimal fitness value of the new population based on the selection algorithm and the fitness value of each individual in the new population;

[0091] The individual with the best fitness value in the new population is used as the optimization direction of the population in the next iteration and the cycle is repeated until the number of iterations is met, and the initial path solution corresponding to the individual with the smallest fitness value in the population in the current iteration cycle is used as the initial line path of the transmission channel area.

[0092] Among them, the preset fitness function can be:

[0093] F = w1×(-line length)+w2×terrain difficulty+w3×environmental impact+w4×construction difficulty; w1, w2, w3, w4 are the weights of each factor, which are used to adjust the influence of each factor on the fitness function.

[0094] Step S32, dividing the initial line path according to the area type of the area passed by the initial line path and a preset length division rule to obtain multiple sub-line paths;

[0095] In this embodiment, the initial line path is first divided into multiple paths according to the area type of the area through which the initial line path passes. Then, for any path, it is determined whether the length of the path is greater than a preset length threshold. If the length of the path is greater than the preset length threshold, the path is divided according to the preset length to obtain multiple sub-line paths; if the length of the path is not greater than the preset length threshold, the path is directly used as a sub-line path.

[0096] Step S33: for any of the sub-route paths, based on the three-dimensional model, the panoramic oblique image, the digital elevation model, the digital surface model, and the area type of the sub-route path, determining whether the sub-route path meets the set evaluation requirements corresponding to the area type;

[0097] In this embodiment, the corresponding set evaluation requirements are determined according to the regional type of the sub-route path. For example, mountainous areas require evaluation of terrain undulations and vegetation coverage, while water areas require evaluation of water depth and water flow velocity.

[0098] Sub-route paths are evaluated using 3D models, panoramic oblique imagery, digital elevation models, digital surface models, and corresponding evaluation methods to obtain evaluation results for each sub-route path. For example, 3D models are used to evaluate terrain relief, panoramic oblique imagery is used to evaluate vegetation cover, digital elevation models are used to evaluate terrain elevation, and digital surface models are used to evaluate surface features. Calculations are performed through terrain relief and vegetation coverage.

[0099] Step S34: for any of the sub-circuit paths, if the sub-circuit path meets the set evaluation requirements corresponding to the area type, the sub-circuit path is used as the target sub-circuit path;

[0100] In this embodiment, each area type is set with a corresponding evaluation requirement. If a sub-circuit path meets the evaluation requirement, it is used as a target sub-circuit path.

[0101] Step S35: For any of the sub-circuit paths, if the sub-circuit path does not meet the set evaluation requirements corresponding to the area type, modify the sub-circuit path based on the evaluation result until the sub-circuit path meets the set evaluation requirements, and use the sub-circuit path that meets the set evaluation requirements as the target sub-circuit path;

[0102] In this embodiment, if the sub-route path does not meet the evaluation requirements, the sub-route path is modified based on the evaluation results, for example, by adjusting the path direction, avoiding unfavorable terrain, etc., and re-evaluated. This process is repeated until the sub-route path meets the evaluation requirements.

[0103] Step S36: generating a target line path of the power transmission channel area based on each of the target sub-line paths.

[0104] In this embodiment, each target sub-circuit path is merged to generate a target circuit path of the power transmission channel area.

[0105] Optionally, after generating the target line path of the transmission channel area based on each target sub-line path, the method further includes:

[0106] The target line path is re-inspected to obtain a re-inspection result, wherein the re-inspection includes checking whether the target line path avoids lightning activity areas and geological disaster areas, and checking whether the target line path meets the technical requirements for power transmission.

[0107] By re-inspecting the target line path, it is ensured that the target line path avoids lightning active areas and geological disaster areas and meets the technical requirements of power transmission, thereby improving the safety and reliability of the transmission channel.

[0108] Step S4, determining cross-sectional information along the target line path based on the target line path, and determining a plurality of tower positions based on the cross-sectional information and a preset tower arrangement rule, wherein the cross-sectional information is a parameter characterizing topographical features along the target line path;

[0109] In one embodiment, determining cross-sectional information along the target line path based on the target line path, and determining a plurality of tower positions based on the cross-sectional information and a preset tower arrangement rule, includes:

[0110] Determining cross-sectional information along the target route based on corner pile information of the target route and TL optimization design software;

[0111] Determine the ranking of multiple candidate towers based on the manual tower ranking function of the TL optimization design software;

[0112] For any of the candidate tower positions, calculating the power parameters, stress parameters and stability parameters of the candidate tower position based on preset parameter calculation rules and cross-sectional information;

[0113] For any of the candidate tower positions, determining whether the power parameters, stress parameters, and stability parameters of the candidate tower position meet the set verification requirements;

[0114] For any of the candidate tower rankings, if the power parameters, stress parameters and stability parameters of the candidate tower ranking all meet the set verification requirements, the candidate tower ranking will be used as the tower ranking;

[0115] For any of the candidate tower positions, if the power parameters, stress parameters or stability parameters of the candidate tower position do not meet the set verification requirements, the candidate tower position is adjusted based on the manual tower ranking function of the TL optimization design software until the power parameters, stress parameters and stability parameters of the candidate tower position all meet the set verification requirements, and the candidate tower position is used as the tower position.

[0116] In the above implementation, first, the corner pile information is input into the software using TL optimization design software (such as a pole tower optimization ranking system based on dynamic programming, etc.), and the cross-sectional information is calculated and analyzed. The TL optimization design software generates cross-sectional information along the target line path, including terrain, landform, vegetation cover, soil conditions, etc.

[0117] Afterwards, the manual tower ranking function was used in the TL optimization design software to preliminarily determine the rankings of multiple candidate towers based on the cross-sectional information and preset tower layout rules.

[0118] Electronic equipment has preset calculation rules for power parameters, stress parameters and stability parameters based on power industry standards and technical specifications.

[0119] For each candidate tower position, the power, stress, and stability parameters are calculated based on pre-set parameter calculation rules and cross-sectional information. The calculated parameters are then compared with the set verification requirements to determine whether the candidate tower position meets the requirements. If the power, stress, and stability parameters of the candidate tower position all meet the set verification requirements, the tower position is determined. If any parameter of the candidate tower position does not meet the requirements, the manual tower ranking function of the TL optimization design software is used to adjust and re-determine the candidate tower position. The parameter calculation and verification steps are repeated until a tower position that meets the requirements is found.

[0120] By combining corner stake information from the target line path with the TL optimization design software, precise cross-sectional information along the route, including key data such as topography, landforms, and obstacles, can be obtained. This facilitates more accurate determination of tower positions and heights during subsequent tower placement, ensuring the safety and stability of the transmission line. The TL optimization design software's manual tower placement function generates multiple candidate tower placement schemes. By performing detailed calculations and verification of these schemes' electrical, mechanical, and stability parameters, the optimal tower placement solution can be identified.

[0121] Optionally, after determining the positions of the plurality of towers based on the cross-sectional information and a preset tower arrangement rule, the method further includes:

[0122] Based on the digital elevation model, calculating the wind deflection of each tower in the target line path under different wind directions and wind speeds;

[0123] Calculating the wind deviation amount of the target route path based on a preset wind deviation calculation model and the wind deviation situation;

[0124] Calculating size information of obstacles along the target route based on the panoramic oblique image, the size information including position, height, and width;

[0125] Calculating a minimum safe distance between a target route and the obstacle based on the wind deviation and the size information of the obstacle;

[0126] The minimum safety distance is compared with the set safety distance requirement to obtain a verification result so that the management personnel can adjust the target line path according to the verification result.

[0127] In one embodiment, the terrain and topography along the target line path in the elevation model are used to simulate meteorological conditions under different wind directions and speeds, as well as the effects of wind on power lines. Combined with the geographic location and height information of the towers, the wind deviation of each tower under different wind directions and speeds is calculated. The simulated wind deviation is input into a wind deviation calculation model to calculate the wind deviation of the target line path. Based on the wind deviation and obstacle size information, the minimum safe distance between the target line path and the obstacle is calculated. The calculated minimum safe distance is compared with the set safety distance requirement.

[0128] If the minimum safety distance is less than the set safety distance requirement, it indicates that there is a safety hazard in the target line path and it needs to be adjusted.

[0129] By calculating the wind deviation conditions along the target line path under different wind directions and wind speeds based on the digital elevation model, and calculating the wind deviation amount of the target line path in combination with a preset wind deviation calculation model, the accurate assessment of the impact of wind deviation on the transmission line is improved; further, the size information of obstacles along the target line path is calculated based on the panoramic oblique image map, and the minimum safe distance between the target line path and the obstacle is calculated in combination with the wind deviation amount. The minimum safe distance is compared with the set safety distance requirement to obtain a verification result, allowing management personnel to adjust the target line path in a timely manner according to the verification result, effectively ensuring the safety of the transmission line.

[0130] Step S5: generating a transmission channel optimization scheme based on the target line path and the multiple tower positions of the target line path, and optimizing the transmission channel based on the transmission channel optimization scheme, wherein the transmission channel optimization scheme includes a two-dimensional display drawing and a three-dimensional display model.

[0131] In one embodiment, according to the target line path and the ranking of multiple towers in the target line path, a drawing is designed using power line design software, and key positions such as the starting point, end point, and corner points of the target line path are marked on the drawing. Detailed information such as the position, model, and height of each tower is marked, and information such as the topography, obstacles, and crossings along the transmission channel is marked to obtain a two-dimensional display drawing of the transmission channel area.

[0132] The target line path and the positions of multiple towers in the target line path are marked in the three-dimensional model to obtain a three-dimensional display model of the transmission line.

[0133] This method, which acquires multi-source data about the transmission corridor area, generates high-precision 3D models, panoramic oblique imagery, digital elevation models, and digital surface models, providing detailed topographic information about the transmission corridor area. Based on this information, it generates a target route that meets actual requirements based on the new line route request, further determines the optimal tower placement, and ultimately generates an optimized transmission corridor plan consisting of 2D drawings and 3D models, enabling efficient and reliable transmission corridor planning and design. This approach avoids the tedious manual judgment and drawing process required by traditional methods, significantly improving design efficiency and accuracy.

[0134] Figure 2 A block diagram of a power transmission channel optimization device provided in one embodiment of the present invention.

[0135] like Figure 2 As shown, a power transmission channel optimization device 200 mainly includes:

[0136] An acquisition module 201 is configured to acquire multi-source data of a transmission channel area, wherein the multi-source data includes three-dimensional point cloud data, oblique image data, and stereo image pair data;

[0137] A generating module 202 is configured to generate a three-dimensional model, a panoramic oblique image, a digital elevation model, and a digital surface model of the transmission channel area based on the multi-source data;

[0138] a line path generation module 203 configured to obtain a new line path request for the transmission channel area, and generate a target line path for the transmission channel area based on the new line path request, the three-dimensional model, the panoramic oblique image, the digital elevation model, and the digital surface model, wherein the new line path request includes a starting point and an end point of the target line path;

[0139] A tower ranking module 204 is configured to determine, based on the target line path, cross-sectional information along the target line path, and determine a ranking of multiple towers based on the cross-sectional information and a preset tower arrangement rule, wherein the cross-sectional information is a parameter characterizing topographical features along the target line path;

[0140] The display module 205 is used to generate a transmission channel optimization plan based on the target line path and the multiple tower positions of the target line path, so as to optimize the transmission channel based on the transmission channel optimization plan. The transmission channel optimization plan includes a two-dimensional display drawing and a three-dimensional display model.

[0141] In one example, the module in any of the above devices can be one or more integrated circuits configured to implement the above methods, such as: one or more application specific integrated circuits (ASICs), or one or more digital signal processors (DSPs), or one or more field programmable gate arrays (FPGAs), or a combination of at least two of these integrated circuit forms.

[0142] For another example, when the modules in the device can be implemented in the form of a processing element scheduling program, the processing element can be a general-purpose processor, such as a central processing unit (CPU) or other processor capable of calling programs. For another example, these modules can be integrated together and implemented in the form of a system-on-a-chip (SOC).

[0143] Various objects such as various messages / information / equipment / network elements / systems / devices / actions / operations / processes / concepts that may appear in this application are named. It can be understood that these specific names do not constitute a limitation on the relevant objects. The names assigned may change with factors such as scenarios, contexts or usage habits. The understanding of the technical meaning of the technical terms in this application should be mainly determined from the functions and technical effects embodied / executed in the technical solutions.

[0144] Those skilled in the art will clearly understand that, for the convenience and brevity of description, the specific working processes of the systems, devices and modules described above can refer to the corresponding processes in the aforementioned method embodiments and will not be repeated here.

[0145] Those skilled in the art will appreciate that the modules and algorithm steps of each example described in conjunction with the embodiments disclosed herein can be implemented in electronic hardware, or a combination of computer software and electronic hardware. Whether these functions are performed in hardware or software depends on the specific application and design constraints of the technical solution. Professional and technical personnel can use different methods to implement the described functions for each specific application, but such implementation should not be considered beyond the scope of this application.

[0146] Figure 3 This is a structural block diagram of an electronic device 300 according to an embodiment of the present application.

[0147] like Figure 3As shown, the electronic device 300 includes a processor 301 and a memory 302 , and may further include one or more of an information input / information output (I / O) interface 303 , a communication component 304 , and a communication bus 305 .

[0148] The processor 301 is used to control the overall operation of the electronic device 300 to complete all or part of the steps in the above-mentioned power transmission channel optimization method. The memory 302 is used to store various types of data to support the operation of the electronic device 300. Such data may include, for example, instructions for any application or method operating on the electronic device 300, as well as application-related data. The memory 302 can be implemented by any type of volatile or non-volatile storage device or a combination thereof, such as one or more of static random access memory (SRAM), electrically erasable programmable read-only memory (EEPROM), erasable programmable read-only memory (EPROM), programmable read-only memory (PROM), read-only memory (ROM), magnetic memory, flash memory, magnetic disk, or optical disk.

[0149] The I / O interface 303 provides an interface between the processor 301 and other interface modules, which may be a keyboard, a mouse, buttons, etc. These buttons may be virtual buttons or physical buttons. The communication component 304 is used to test wired or wireless communication between the electronic device 300 and other devices. Wireless communication, such as Wi-Fi, Bluetooth, Near Field Communication (NFC), 2G, 3G or 4G, or a combination of one or more thereof, may include: a Wi-Fi component, a Bluetooth component, and an NFC component.

[0150] Communication bus 305 may include a path for transmitting information between the aforementioned components. Communication bus 305 may be a PCI (Peripheral Component Interconnect) bus or an EISA (Extended Industry Standard Architecture) bus, for example. Communication bus 305 may be divided into an address bus, a data bus, a control bus, and the like.

[0151] The computer-readable storage medium provided in the embodiments of the present application is introduced below. The computer-readable storage medium described below and the power transmission channel optimization method described above can be referenced to each other.

[0152] The present application also provides a computer-readable storage medium, on which a computer program is stored. When the computer program is executed by a processor, the steps of the above-mentioned power transmission channel optimization method are implemented.

[0153] The computer-readable storage medium may include: a USB flash drive, a mobile hard disk, a read-only memory (ROM), a random access memory (RAM), a magnetic disk, or an optical disk, etc., which can store program codes.

[0154] The terms "comprises," "comprising," or any other variations thereof are intended to cover non-exclusive inclusion such that a process, method, article, or apparatus that comprises a list of elements includes not only those elements but also other elements not expressly listed or inherent to such process, method, article, or apparatus.

[0155] The above description is merely a preferred embodiment of the present application and an illustration of the technical principles employed. Those skilled in the art should understand that the scope of application involved in this application is not limited to the technical solutions formed by a specific combination of the above-mentioned technical features, but should also cover other technical solutions formed by any combination of the above-mentioned technical features or their equivalents without departing from the aforementioned application concept. For example, a technical solution formed by replacing the above-mentioned features with (but not limited to) technical features with similar functions applied for in this application.

Claims

1. A method for optimizing a power transmission channel, characterized in that: include: Acquiring multi-source data of the transmission channel area, wherein the multi-source data includes three-dimensional point cloud data, oblique image data, and stereo image pair data; Based on the multi-source data, a three-dimensional model, a panoramic oblique image map, a digital elevation model and a digital surface model of the transmission channel area are generated respectively; Obtaining a new line path request for the transmission channel area, and generating a target line path for the transmission channel area based on the new line path request, the three-dimensional model, the panoramic oblique image, the digital elevation model, and the digital surface model, wherein the new line path request includes a starting point and an end point of the target line path; Determining, based on the target line path, cross-sectional information along the target line path, and determining, based on the cross-sectional information and a preset tower arrangement rule, a plurality of tower positions, wherein the cross-sectional information is a parameter characterizing topographical features along the target line path; generating a transmission channel optimization plan based on the target line path and the positions of multiple towers in the target line path, and optimizing the transmission channel corresponding to the transmission channel area based on the transmission channel optimization plan, wherein the transmission channel optimization plan includes a two-dimensional display drawing and a three-dimensional display model; The generating of a target line path for the power transmission channel area based on the new line path request, the three-dimensional model, the panoramic oblique image, the digital elevation model, and the digital surface model includes: Generate an initial line path for the power transmission channel area based on the starting point and the ending point of the target line path and a preset path planning method; Dividing the initial line path according to the area type of the area passed by the initial line path and a preset length division rule to obtain multiple sub-line paths; For any of the sub-route paths, based on the three-dimensional model, the panoramic oblique image, the digital elevation model, the digital surface model, and the area type of the sub-route path, determining whether the sub-route path meets the set evaluation requirements corresponding to the area type; For any of the sub-circuit paths, if the sub-circuit path meets the set evaluation requirements corresponding to the area type, the sub-circuit path is used as the target sub-circuit path; For any of the sub-circuit paths, if the sub-circuit path does not meet the set evaluation requirements corresponding to the area type, modify the sub-circuit path based on the evaluation result until the sub-circuit path meets the set evaluation requirements, and use the sub-circuit path that meets the set evaluation requirements as the target sub-circuit path; generating a target line path for the power transmission channel area based on each of the target sub-line paths; The generating of the initial line path of the power transmission channel area based on the starting point and the ending point of the target line path and a preset path planning method includes: Randomly generating a plurality of initial path plans based on the starting point and the ending point of the target route, and constructing a population based on the plurality of initial path plans, wherein the population includes a plurality of individuals, each of the individuals representing an initial path plan; Based on a preset fitness function and a set economic cost parameter, a fitness evaluation is performed on each individual in the current iteration population to obtain a fitness value of each individual in the current iteration population, wherein the fitness value represents the economic cost of the corresponding initial path plan; Based on the fitness value of each individual, the crossover algorithm and the mutation algorithm, exploring at least one new individual; generating a new population based on at least one new individual, a plurality of previously unexplored individuals, and a selection algorithm; Determining an optimal fitness value of the new population based on the selection algorithm and the fitness value of each individual in the new population; The individual with the best fitness value in the new population is used as the optimization direction of the population in the next iteration and the optimization is circulated until the number of iterations is met, and the initial path solution corresponding to the individual with the smallest fitness value in the population in the current iteration cycle is used as the initial line path of the transmission channel area; Among them, the preset fitness function is: F = w1×(-line length)+w2×terrain difficulty+w3×environmental impact+w4×construction difficulty; w1, w2, w3, w4 are the weights of each factor, which are used to adjust the influence of each factor on the fitness function.

2. A power transmission channel optimization method according to claim 1, characterized in that: The generating of a three-dimensional model, a panoramic oblique image map, a digital elevation model and a digital surface model of the transmission channel area based on the multi-source data includes: Generate a 3D model of the transmission channel area based on 3D point cloud data; Generate a panoramic oblique image of the transmission channel area based on the oblique image data; Generate a digital elevation model of the transmission corridor area based on stereo image pair data; Based on 3D point cloud data and stereo image pair data, a digital surface model of the transmission channel area is generated.

3. The power transmission channel optimization method according to claim 1, characterized in that: After generating the target line path of the power transmission channel area based on each target sub-line path, the method further includes: The target line path is re-inspected to obtain a re-inspection result, wherein the re-inspection includes checking whether the target line path avoids lightning activity areas and geological disaster areas, and checking whether the target line path meets the technical requirements for power transmission.

4. The method for optimizing a power transmission channel according to claim 1, wherein: The determining, based on the target line path, section information along the target line path, and determining a plurality of tower positions based on the section information and a preset tower arrangement rule, includes: Determining cross-sectional information along the target route based on corner pile information of the target route and TL optimization design software; Determine the ranking of multiple candidate towers based on the manual tower ranking function of the TL optimization design software; For any of the candidate tower positions, calculating the power parameters, stress parameters and stability parameters of the candidate tower position based on preset parameter calculation rules and cross-sectional information; For any of the candidate tower positions, determining whether the power parameters, stress parameters, and stability parameters of the candidate tower position meet the set verification requirements; For any of the candidate tower rankings, if the power parameters, stress parameters and stability parameters of the candidate tower ranking all meet the set verification requirements, the candidate tower ranking will be used as the tower ranking; For any of the candidate tower positions, if the power parameters, stress parameters or stability parameters of the candidate tower position do not meet the set verification requirements, the candidate tower position is adjusted based on the manual tower ranking function of the TL optimization design software until the power parameters, stress parameters and stability parameters of the candidate tower position all meet the set verification requirements, and the candidate tower position is used as the tower position.

5. A power transmission channel optimization method according to claim 4, characterized in that: After determining the positions of the plurality of towers based on the cross-sectional information and the preset tower arrangement rules, the method further includes: Based on the digital elevation model, calculating the wind deflection of each tower in the target line path under different wind directions and wind speeds; Calculating the wind deviation amount of the target route path based on a preset wind deviation calculation model and the wind deviation situation; Calculating size information of obstacles along the target route based on the panoramic oblique image, the size information including position, height, and width; Calculating a minimum safe distance between a target route and the obstacle based on the wind deviation and the size information of the obstacle; The minimum safety distance is compared with the set safety distance requirement to obtain a verification result so that the management personnel can adjust the target line path according to the verification result.

6. A power transmission channel optimization device, characterized in that: include: An acquisition module is used to acquire multi-source data of the transmission channel area, wherein the multi-source data includes three-dimensional point cloud data, oblique image data and stereo image pair data; A generation module, configured to generate a three-dimensional model, a panoramic oblique image map, a digital elevation model, and a digital surface model of the transmission channel area based on the multi-source data; a line path generation module, configured to obtain a new line path request for the transmission channel area, and generate a target line path for the transmission channel area based on the new line path request, the three-dimensional model, the panoramic oblique image, the digital elevation model, and the digital surface model, wherein the new line path request includes a starting point and an end point of the target line path; a tower ranking module, configured to determine, based on the target line path, cross-sectional information along the target line path, and determine a ranking of a plurality of towers based on the cross-sectional information and a preset tower arrangement rule, wherein the cross-sectional information is a parameter characterizing topographical features along the target line path; a display module, configured to generate a transmission channel optimization plan based on the target line path and the positions of multiple towers in the target line path, and optimize the transmission channel based on the transmission channel optimization plan, wherein the transmission channel optimization plan includes a two-dimensional display drawing and a three-dimensional display model; The line path generation module is specifically used to: Generate an initial line path for the power transmission channel area based on the starting point and the ending point of the target line path and a preset path planning method; Dividing the initial line path according to the area type of the area passed by the initial line path and a preset length division rule to obtain multiple sub-line paths; For any of the sub-route paths, based on the three-dimensional model, the panoramic oblique image, the digital elevation model, the digital surface model, and the area type of the sub-route path, determining whether the sub-route path meets the set evaluation requirements corresponding to the area type; For any of the sub-circuit paths, if the sub-circuit path meets the set evaluation requirements corresponding to the area type, the sub-circuit path is used as the target sub-circuit path; For any of the sub-circuit paths, if the sub-circuit path does not meet the set evaluation requirements corresponding to the area type, modify the sub-circuit path based on the evaluation result until the sub-circuit path meets the set evaluation requirements, and use the sub-circuit path that meets the set evaluation requirements as the target sub-circuit path; generating a target line path for the power transmission channel area based on each of the target sub-line paths; The generating of the initial line path of the power transmission channel area based on the starting point and the ending point of the target line path and a preset path planning method includes: Randomly generating a plurality of initial path plans based on the starting point and the ending point of the target route, and constructing a population based on the plurality of initial path plans, wherein the population includes a plurality of individuals, each of the individuals representing an initial path plan; Based on a preset fitness function and a set economic cost parameter, a fitness evaluation is performed on each individual in the current iteration population to obtain a fitness value of each individual in the current iteration population, wherein the fitness value represents the economic cost of the corresponding initial path plan; Based on the fitness value of each individual, the crossover algorithm and the mutation algorithm, exploring at least one new individual; generating a new population based on at least one new individual, a plurality of previously unexplored individuals, and a selection algorithm; Determining an optimal fitness value of the new population based on the selection algorithm and the fitness value of each individual in the new population; The individual with the best fitness value in the new population is used as the optimization direction of the population in the next iteration and the optimization is circulated until the number of iterations is met, and the initial path solution corresponding to the individual with the smallest fitness value in the population in the current iteration cycle is used as the initial line path of the transmission channel area; Among them, the preset fitness function is: F = w1×(-line length)+w2×terrain difficulty+w3×environmental impact+w4×construction difficulty; w1, w2, w3, w4 are the weights of each factor, which are used to adjust the influence of each factor on the fitness function.

7. An electronic device, characterized in that: comprising a processor coupled to a memory; The processor is configured to execute the computer program stored in the memory, so that the electronic device performs the method according to any one of claims 1 to 5.

8. A computer-readable storage medium, characterized in that The method comprises a computer program or an instruction, which, when executed on a computer, causes the computer to execute the method according to any one of claims 1 to 5.

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