Power transmission channel optimization method and device, equipment and medium

Abstract

The invention relates to a power transmission channel optimization method and device, equipment and a medium, and belongs to the technical field of power transmission engineering, and the method comprises the steps: obtaining multi-source data of a power transmission channel region; based on the multi-source data, respectively 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; obtaining a new line path request of the power transmission channel area, and generating a target line path of the power transmission channel area based on the new line path request, the three-dimensional model, the panoramic inclined image map, the digital elevation model and the digital surface model; and determining section information along the target line path based on the target line path, determining a plurality of pole and tower arrangement positions based on the section information and a preset pole and tower arrangement rule, and generating a power transmission channel optimization scheme based on the target line path and the plurality of pole and tower arrangement positions of the target line path. According to the invention, efficient and reliable power transmission channel planning design is realized, and the design efficiency and precision are improved.

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 channels is an important part of the field of power engineering, and is of great significance to ensure the safe operation of power facilities and improve the overall power transmission efficiency. Reasonable transmission channel design can not only improve the efficiency of power transmission, but also reduce the losses caused by the transmission process, reduce construction and maintenance costs, and also reduce the impact on the environment. With the growth of economic development and the demand for electricity, optimizing transmission channels to adapt to new power transmission needs has become an urgent problem to be solved.

[0003] At present, in order to optimize the design of transmission channels, the industry generally adopts traditional manual field surveys and manual design solutions. This method mainly includes collecting basic geographical data of the transmission channel area, such as topographic maps, geological reports, etc., and then conducting manual design in combination with the basic requirements of power transmission. At the same time, some design units also use existing two-dimensional drawings and simple geographic information system (GIS) software to select paths and arrange towers; in addition, it is also a common practice to use drone technology to cruise the transmission channel area and then conduct preliminary design based on the cruise images.

[0004] However, the above traditional methods have some problems in the transmission channel design process. Due to the reliance on manual judgment and two-dimensional drawings, the design process is cumbersome and time-consuming, and it is difficult to quickly respond to needs such as line path changes. The comprehensive application and analysis of multi-source data is insufficient, resulting in limited optimization of line paths, which is difficult to meet the high requirements for transmission efficiency and safety in 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-mentioned 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 solution:

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

[0009] 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;

[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 map, 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] Based on the target line path, determining the cross-sectional information along the target line path, and determining the positions of multiple towers based on the cross-sectional information and a preset tower arrangement rule, wherein the cross-sectional information is a parameter characterizing the 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 scheme is generated to optimize the transmission channel based on the transmission channel optimization scheme, and the transmission channel optimization scheme includes a two-dimensional display drawing and a three-dimensional display model.

[0014] The beneficial effect of the present invention is that by acquiring multi-source data of the transmission channel area, high-precision three-dimensional models, panoramic oblique images, digital elevation models and digital surface models can be generated, thereby providing detailed topographic information of the transmission channel area. On this basis, according to the new line path request, a target line path that meets actual needs is generated, and a reasonable pole tower ranking is further determined, and finally a transmission channel optimization plan including a two-dimensional display drawing and a three-dimensional display model is generated, so as to realize efficient and reliable transmission channel planning and design. It avoids the tedious process of manual judgment and drawing in traditional methods, and significantly improves the design efficiency and accuracy.

[0015] Based on the above technical solution, the present invention can also be improved as follows.

[0016] Further, based on the multi-source data, respectively generating a three-dimensional model, a panoramic oblique image map, a digital elevation model and a digital surface model of the transmission channel area 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 the 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 the above further scheme are: generating a three-dimensional stereoscopic model of the transmission channel area based on three-dimensional point cloud data, which can accurately reflect the topographical features of the transmission channel area; generating a panoramic oblique image map based on oblique image data, providing all-round perspective information of the transmission channel area; generating a digital elevation model based on stereo image pair data, accurately describing the elevation information of the ground; generating a digital surface model based on three-dimensional point cloud data and stereo image pair data, realizing the refined expression of surface features and their changes. The above technical scheme comprehensively utilizes different data sources to generate multiple types of models and images, which improves the comprehensiveness and accuracy of information on the transmission channel area.

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

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

[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, the sub-circuit path is modified based on the evaluation result until the sub-circuit path meets the set evaluation requirements, and the sub-circuit path that meets the set evaluation requirements is used as the target sub-circuit path;

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

[0029] The beneficial effect of adopting the above further scheme is: by dividing the initial line path into multiple sub-line paths and applying specific evaluation requirements for different area types, more refined path planning can be achieved. For each sub-line path, a comprehensive evaluation based on the three-dimensional model, panoramic oblique image map, digital elevation model and digital surface model can more accurately determine whether the path meets the set evaluation requirements corresponding to the area type. If the sub-line path does not meet the evaluation requirements, the method can modify the path based on the evaluation results until it meets the set evaluation requirements. Ensure that it meets both technical requirements and is economical and feasible.

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

[0031] Randomly generate a plurality of initial path plans based on the starting point and the ending point of the target route path, and construct a population based on the plurality of initial path plans, wherein the population includes a plurality of individuals, each of which represents 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, the crossover algorithm and the mutation algorithm of each of the individuals, exploring at least one new individual;

[0034] Generate a new population based on at least one of the new individuals, a plurality of individuals that have not been explored before, and a selection algorithm;

[0035] Determining the optimal fitness value of the new population based on the selection algorithm and the fitness value of each of the individuals 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 for the next iteration and cycled until the number of iterations is met, and the initial path plan 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 the above further scheme is that the transmission channel optimization method can automatically generate the initial line path with the lowest economic cost based on the genetic algorithm. The scheme first constructs a population by randomly generating multiple initial path schemes, and then uses the fitness function and economic cost parameters to evaluate the fitness value of each individual to achieve economic optimization of the path scheme.

[0038] Further, after generating the target line path of the power 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 scheme 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 the cross-sectional information along the target line path based on the target line path, and determining the positions of a plurality of towers based on the cross-sectional information and a preset tower arrangement rule, includes:

[0042] Determine the cross-section information along the target line path based on the corner pile information of the target line path and the 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, the power parameters, stress parameters and stability parameters of the candidate tower position are calculated based on preset parameter calculation rules and cross-section information;

[0045] For any of the candidate tower positions, determine 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 rankings, if the power parameters, stress parameters or stability parameters of the candidate tower ranking do not meet the set verification requirements, the candidate tower ranking 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 ranking all meet the set verification requirements, and the candidate tower ranking is used as the tower ranking.

[0048] The beneficial effect of adopting the above further scheme is that by combining the corner pile information of the target line path and the TL optimization design software, the cross-section information along the line can be accurately obtained, including key data such as terrain, landform, obstacles, etc. This helps to more accurately determine the position and height of the tower in the subsequent tower ranking process to ensure the safety and stability of the transmission line. Using the manual tower ranking function of the TL optimization design software, multiple candidate tower ranking schemes can be generated. By performing detailed calculations and verifications on the power parameters, stress parameters and stability parameters of these schemes, the optimal tower layout scheme can be screened out.

[0049] Further, after determining the positions of a plurality of pole towers based on the cross-section information and the preset pole tower arrangement rule, the method further includes:

[0050] Based on the digital elevation model, calculating the wind deviation 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 condition;

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

[0053] Calculating a minimum safe distance between a target route and an 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 solution:

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

[0058] An acquisition module, 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, used 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 map, 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, used to determine the cross-sectional information along the target line path based on the target line path, and determine the 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 the 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 rankings 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 as described in 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 execute a power transmission channel optimization method as described in any one of the first aspects.

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

[0068] Figure 1 A schematic diagram of a flow chart of a power transmission channel optimization method provided by an embodiment of the present invention;

[0069] Figure 2A module 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 an embodiment of the present invention. DETAILED DESCRIPTION

[0071] In order to make the purpose, technical solution and advantages of the embodiments of the present application clearer, the technical solution in the embodiments of the present application will be clearly and completely described below in conjunction with the drawings in the embodiments of the present application. Obviously, the described embodiments are part of the embodiments of the present application, not all of the embodiments. Based on the embodiments in the present application, all other embodiments obtained by ordinary technicians in this field without creative work 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, which may be a server or a mobile terminal device, wherein the server may 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 may be a laptop computer, a desktop computer, etc., but is not limited thereto.

[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 method for optimizing a power transmission channel includes steps S1 to S5:

[0074] Step S1, acquiring multi-source data of a power 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, based on the multi-source data, respectively generating a three-dimensional model, a panoramic oblique image map, a digital elevation model and a digital surface model of the transmission channel area;

[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 the 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 map, 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 manager can trigger a new line path request by means of a mouse, touch screen or button, and 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 the target line path of 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, the ending point and the preset path planning method of the target line path;

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

[0086] Randomly generate a plurality of initial path plans based on the starting point and the ending point of the target route path, and construct a population based on the plurality of initial path plans, wherein the population includes a plurality of individuals, each of which represents 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. The economic cost 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, the crossover algorithm and the mutation algorithm of each of the individuals, exploring at least one new individual;

[0089] Generate a new population based on at least one of the new individuals, a plurality of individuals that have not been explored before, and a selection algorithm;

[0090] Determining the optimal fitness value of the new population based on the selection algorithm and the fitness value of each of the individuals 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 for the next iteration and cycled until the number of iterations is met, and the initial path plan 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 a plurality of 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 passed by the initial line path. 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 area type of the sub-route path. For example, the mountainous area needs to evaluate the terrain undulation, vegetation coverage, etc., and the water area needs to evaluate the water depth, water flow speed, etc.

[0098] The sub-route paths are evaluated using three-dimensional models, panoramic oblique images, digital elevation models, digital surface models and corresponding evaluation methods to obtain the evaluation results of each sub-route path. For example, the three-dimensional model is used to evaluate terrain undulation, the panoramic oblique image is used to evaluate vegetation coverage, the digital elevation model is used to evaluate terrain elevation, and the digital surface model is used to evaluate surface features, etc., through calculations such as terrain undulation 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 a target sub-circuit path;

[0100] In this embodiment, each area type is set with a corresponding evaluation requirement, and if a sub-line path meets the evaluation requirement, it is used as a target sub-line 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-line path does not meet the evaluation requirements, the sub-line path is modified according to the evaluation results, for example, the path direction is adjusted, unfavorable terrain is avoided, etc., and re-evaluation is performed. This process is repeated until the sub-line 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-line path is merged to generate a target line path of the power transmission channel area.

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

[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 rechecking 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 for power transmission, thereby improving the safety and reliability of the transmission channel.

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

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

[0110] Determine the cross-section information along the target line path based on the corner pile information of the target line path and the 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, the power parameters, stress parameters and stability parameters of the candidate tower position are calculated based on preset parameter calculation rules and cross-section information;

[0113] For any of the candidate tower positions, determine 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 rankings, if the power parameters, stress parameters or stability parameters of the candidate tower ranking do not meet the set verification requirements, the candidate tower ranking 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 ranking all meet the set verification requirements, and the candidate tower ranking is used as the tower ranking.

[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 coverage, soil conditions, etc.

[0117] Afterwards, in the TL optimization design software, the manual tower ranking function is used 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, calculate its power parameters, stress parameters and stability parameters according to the preset parameter calculation rules and cross-section information. Compare the calculated parameters with the set verification requirements to determine whether the candidate tower position meets the requirements. If the power parameters, stress parameters and stability parameters of the candidate tower position meet the set verification requirements, it will be determined as the tower position. If any parameter of the candidate tower position does not meet the requirements, it is necessary to use the manual tower position function of the TL optimization design software to adjust it, re-determine the candidate tower position, and repeat the steps of calculating parameters and verification until a tower position that meets the requirements is found.

[0120] By combining the corner pile information of the target line path with the TL optimization design software, the cross-section information along the line can be accurately obtained, including key data such as terrain, landforms, obstacles, etc. This helps to more accurately determine the location and height of the towers in the subsequent tower ranking process to ensure the safety and stability of the transmission line. Using the manual tower ranking function of the TL optimization design software, multiple candidate tower ranking schemes can be generated. By performing detailed calculations and verifications on the power parameters, stress parameters, and stability parameters of these schemes, the optimal tower layout scheme can be screened out.

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

[0122] Based on the digital elevation model, calculating the wind deviation 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 condition;

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

[0125] Calculating a minimum safe distance between a target route and an 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 topographic information along the target line path in the elevation model is used to simulate the meteorological conditions under different wind directions and wind speeds, the effect of wind on the power line, and the wind deviation of each tower under different wind directions and wind speeds is calculated in combination with the geographical location and height information of the tower position. The simulated wind deviation is input into the wind deviation calculation model to calculate the wind deviation of the target line path. Afterwards, based on the wind deviation and the size information of the obstacle, 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 are safety hazards in the target line path and adjustment is required.

[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 the 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 the verification result, so that the management personnel can adjust the target line path in time 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 rankings of the target line path, so as to optimize 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 pole 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 point of the target line path are marked on the drawing, and detailed information such as the position, model, and height of each pole tower are marked, and information such as the topography, obstacles, and crossovers along the transmission channel are marked to obtain a two-dimensional display drawing of the transmission channel area.

[0132] The target line path and the positions of multiple pole 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 can generate high-precision three-dimensional models, panoramic oblique images, digital elevation models and digital surface models by acquiring multi-source data of the transmission channel area, thereby providing detailed topographic information of the transmission channel area. On this basis, according to the new line path request, the target line path that meets the actual needs is generated, and the reasonable tower ranking is further determined, and finally the transmission channel optimization plan including two-dimensional display drawings and three-dimensional display models is generated to achieve efficient and reliable transmission channel planning and design. It avoids the tedious process of manual judgment and drawing in traditional methods, and significantly improves the design efficiency and accuracy.

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

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

[0136] An acquisition module 201 is used to acquire multi-source data of a power 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 used 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;

[0138] A line path generation module 203 is used 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 map, 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] The tower ranking module 204 is used to determine the cross-sectional information along the target line path based on the target line path, and determine the 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 the 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 rankings of the target line path, so as 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.

[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 that can call a program. 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 scheme.

[0144] Those skilled in the art can 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 of ordinary skill 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 to be 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, and these data may include, for example, instructions for any application or method operated on the electronic device 300, and data related to the application. The memory 302 can be implemented by any type of volatile or non-volatile storage device or a combination thereof, such as static random access memory (SRAM), electrically erasable programmable read-only memory (EEPROM), erasable programmable read-only memory (EPROM), programmable 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, and the above-mentioned other interface modules can be keyboards, mice, buttons, etc. These buttons can be virtual buttons or physical buttons. The communication component 304 is used to test the 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 of them, so the corresponding communication component 304 can include: Wi-Fi components, Bluetooth components, NFC components.

[0150] The communication bus 305 may include a path to transmit information between the above components. The communication bus 305 may be a PCI (Peripheral Component Interconnect) bus or an EISA (Extended Industry Standard Architecture) bus, etc. The communication bus 305 may be divided into an address bus, a data bus, a control bus, etc.

[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, and other media that 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 includes a list of elements includes not only those elements but also other elements not expressly listed, or also includes elements inherent to such process, method, article, or apparatus.

[0155] The above description is only a preferred embodiment of the present application and an explanation of the technical principles used. Those skilled in the art should understand that the scope of application involved in the present application is not limited to the technical solution formed by a specific combination of the above technical features, but should also cover other technical solutions formed by any combination of the above technical features or their equivalent features without departing from the aforementioned application concept. For example, the above features are replaced with (but not limited to) technical features with similar functions applied in the present application.

Claims

1. A method for optimizing a power transmission channel, characterized in that: include: 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; 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 map, 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; Based on the target line path, determining the cross-sectional information along the target line path, and determining the positions of multiple towers based on the cross-sectional information and a preset tower arrangement rule, wherein the cross-sectional information is a parameter characterizing the topographical features along the target line path; Based on the target line path and the multiple tower rankings of the target line path, a transmission channel optimization plan is generated to optimize the transmission channel corresponding to the transmission channel area 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.

2. A power transmission channel optimization method according to claim 1, characterized in that: The method of generating 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 the 3D point cloud data and stereo image pair data, a digital surface model of the transmission channel area is generated.

3. A power transmission channel optimization method according to claim 1, characterized in that: The generating of the target line path of the transmission channel area based on the new line path request, the three-dimensional model, the panoramic oblique image map, the digital elevation model and the digital surface model comprises: Generate an initial line path of the power transmission channel area based on the starting point, the ending point and the preset path planning method of the target line path; 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, the sub-circuit path is modified based on the evaluation result until the sub-circuit path meets the set evaluation requirements, and the sub-circuit path that meets the set evaluation requirements is used as the target sub-circuit path; Based on each of the target sub-line paths, a target line path of the power transmission channel area is generated.

4. A method for optimizing a power transmission channel according to claim 3, characterized in that: The generating of the initial line path of the power transmission channel area based on the starting point, the ending point and the preset path planning method of the target line path includes: Randomly generate a plurality of initial path plans based on the starting point and the ending point of the target route path, and construct a population based on the plurality of initial path plans, wherein the population includes a plurality of individuals, and each individual represents 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, the crossover algorithm and the mutation algorithm of each of the individuals, exploring at least one new individual; Generate a new population based on at least one of the new individuals, a plurality of individuals that have not been explored before, and a selection algorithm; Determining the optimal fitness value of the new population based on the selection algorithm and the fitness value of each of the individuals in the new population; The individual with the best fitness value in the new population is used as the optimization direction of the population for the next iteration and cycled until the number of iterations is met, and the initial path plan 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.

5. A power transmission channel optimization method according to claim 3, 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.

6. A method for optimizing a power transmission channel according to claim 1, characterized in that: The determining, based on the target line path, section information along the target line path, and determining the positions of a plurality of towers based on the section information and a preset tower arrangement rule, comprises: Determine the cross-section information along the target line path based on the corner pile information of the target line path and the 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, the power parameters, stress parameters and stability parameters of the candidate tower position are calculated based on preset parameter calculation rules and cross-sectional information; For any of the candidate tower positions, determine 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 rankings, if the power parameters, stress parameters or stability parameters of the candidate tower ranking do not meet the set verification requirements, the candidate tower ranking 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 ranking all meet the set verification requirements, and the candidate tower ranking is used as the tower ranking.

7. A method for optimizing a power transmission channel according to claim 6, characterized in that: After determining the positions of a plurality of pole towers based on the cross-section information and the preset pole tower arrangement rule, the method further includes: Based on the digital elevation model, calculating the wind deviation 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 condition; Calculating the size information of obstacles along the target route based on the panoramic oblique image, wherein the size information includes position, height and width; Calculating a minimum safe distance between a target route and an 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.

8. A power transmission channel optimization device, characterized in that: include: An acquisition module, 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, used 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, used 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 map, 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, used to determine the cross-sectional information along the target line path based on the target line path, and determine the 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 the topographical features along the target line path; A display module is used to generate a transmission channel optimization plan based on the target line path and the multiple tower rankings of the target line path, so as 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.

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

10. A computer-readable storage medium, characterized in that: The method comprises a computer program or an instruction, and when the computer program or the instruction is executed on a computer, the computer is caused to execute the method according to any one of claims 1 to 7.

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