Power transmission channel design optimization method and device based on panoramic true three-dimensional technology

Abstract

The invention relates to a power transmission channel design optimization method and device based on a panoramic true three-dimensional technology, and the method comprises the steps: obtaining oblique photography data based on a first air strip in a target region and a model point distribution scheme which is a parameter affecting the precision of a panoramic true three-dimensional model, the oblique photography data is image data acquired by the multi-lens camera system in an oblique photography process; acquiring laser point cloud data based on a second air strip in the target area and the model point distribution scheme; and carrying out fusion processing on the oblique photography data and the laser point cloud data to generate the panoramic true three-dimensional model so as to obtain an optimal scheme of the power transmission channel in the target area based on the panoramic true three-dimensional model. The method has the advantages that optimization work of the power transmission channel is improved from a two-dimensional image to a three-dimensional model, and optimization of the design level is facilitated.

Description

Technical Field

[0001] The present application relates to the technical field of power transmission channel design, and in particular to a power transmission channel design optimization method and device based on panoramic true three-dimensional technology. Background Art

[0002] With the rapid development of the power industry, overhead transmission lines, as an important part of the power grid, play a vital role in improving the efficiency of power grid operation, reducing construction costs and ensuring power supply safety. Traditional transmission line optimization design methods mainly rely on two-dimensional drawings and satellite remote sensing images. This method is not only time-consuming and labor-intensive, but also difficult to fully and accurately reflect the three-dimensional spatial relationship between terrain, landforms and transmission facilities, resulting in deviations in the design plan, affecting subsequent construction and operation efficiency, and making it difficult to meet the needs of modern power grid construction for high-precision and high-efficiency design optimization. Summary of the invention

[0003] In order to more intuitively understand the spatial relationship of ground objects and facilitate efficient and accurate optimization of design solutions, the present application provides a transmission channel design optimization method and device based on panoramic true three-dimensional technology.

[0004] In a first aspect, the present application provides a method for optimizing the design of a power transmission channel based on panoramic true three-dimensional technology, comprising:

[0005] Obtaining oblique photography data based on the first flight strip and the model point layout scheme in the target area, wherein the model point layout scheme is a parameter that affects the accuracy of the panoramic true three-dimensional model, and the oblique photography data is image data representing image data collected by the multi-lens camera system during the oblique photography process;

[0006] Based on the second flight zone in the target area and the model point layout plan, acquiring laser point cloud data;

[0007] The oblique photography data and the laser point cloud data are fused to generate the panoramic true three-dimensional model, so as to obtain the optimal solution of the power transmission channel in the target area based on the panoramic true three-dimensional model.

[0008] The beneficial effects of this application are: the combination of laser point cloud data and oblique image data can optimize the outline of the three-dimensional real scene model and improve the visual effect. The panoramic true three-dimensional model can observe objects from multiple angles, obtain the texture, material and distance information of the objects, and understand the spatial relationship of the objects more intuitively. The panoramic true three-dimensional model combined with the mapping information can upgrade the optimization work of the transmission channel from two-dimensional images to three-dimensional models, which helps to optimize the design level.

[0009] Further, after generating the panoramic true 3D model, the method further includes:

[0010] Based on the panoramic true three-dimensional model, obtaining three-dimensional data corresponding to each of a plurality of design schemes corresponding to the power transmission channels in the target area;

[0011] For each of the design schemes, the three-dimensional data corresponding to the design scheme is uploaded to the display platform, and based on the display information corresponding to the three-dimensional data and the display environment information corresponding to the display platform, the display strategy corresponding to the design scheme is obtained, so that the display platform displays the three-dimensional data based on the display strategy.

[0012] The beneficial effect of adopting the above further solution is: by automatically adapting to different display information and display environment information, it ensures that users can obtain smooth and clear display effects under any conditions, which helps to improve user satisfaction and participation, and enables them to understand and evaluate the design scheme more deeply. By comprehensively considering multiple parameters and formulating corresponding adjustment strategies, it can ensure that the three-dimensional data can maintain a relatively consistent display effect when different display information and display environment information are displayed, which helps to avoid fluctuations in display effects caused by differences in equipment or environment, and improve the stability and reliability of the display.

[0013] Furthermore, after obtaining the display strategy corresponding to each of the design solutions, the method further includes:

[0014] Based on the trained machine learning model, the display order of each design solution displayed on the display platform is obtained.

[0015] The beneficial effect of adopting the above further solution is that different design solutions are displayed in sequence according to the display order, which can convey information more effectively within a limited time and space, help users understand the main content and design highlights more quickly, reduce unnecessary browsing time, and improve the efficiency of information acquisition. Through orderly display, users can systematically compare the advantages and disadvantages of different design solutions and have a more comprehensive understanding of the characteristics and applicability of each solution. This helps users make more informed and reasonable decisions, especially in scenarios where solution selection and evaluation are required.

[0016] Furthermore, the training method of the machine learning model includes:

[0017] Acquire historical information of the design schemes browsed by the user within a preset time period, the historical information including browsing dwell time of different areas in the three-dimensional model corresponding to the three-dimensional data and operation behaviors on the display platform, the operation behaviors including clicking, zooming in, zooming out, and rotating the three-dimensional model, and interaction behaviors with other users, the interaction behaviors including forwarding, commenting, and liking;

[0018] Acquire display preference information actively set by a user, wherein the display preference information includes weights or scores corresponding to different first evaluation parameters corresponding to the design scheme, and the different first evaluation parameters are indicators for evaluating the feasibility of the design scheme;

[0019] Based on the historical information and the display preference information, the machine learning model is trained to obtain the trained machine learning model.

[0020] The beneficial effect of adopting the above further scheme is: through the trained machine learning model, the display order of multiple design schemes can be intelligently adjusted, and the design scheme that best matches the user's interests, preferences or needs can be displayed first. The personalized display method can significantly improve user satisfaction and facilitate users to find content that interests them or is useful to them more quickly.

[0021] Further, for each of the design solutions, after the display platform displays the three-dimensional data based on the display strategy, the method further includes:

[0022] For each of the design schemes, based on the three-dimensional data, obtaining scoring data corresponding to a plurality of second evaluation parameters of the design scheme, wherein the plurality of second evaluation parameters include line length, terrain adaptability, and a plurality of first evaluation parameters, and the plurality of first evaluation parameters include an economic evaluation parameter and an environmental evaluation parameter of the design scheme;

[0023] For each of the design solutions, based on the scoring data corresponding to each of the second evaluation parameters, a total score corresponding to the design solution is calculated;

[0024] Based on the total scores corresponding to the various design solutions, the optimal solution among the multiple design solutions is obtained.

[0025] The beneficial effect of adopting the above further scheme is: by introducing multiple second evaluation parameters, a comprehensive and integrated evaluation of multiple design schemes is achieved, so that the overall advantages and disadvantages of the design schemes can be more accurately reflected. By automatically collecting the scoring data of each evaluation parameter based on three-dimensional data and calculating the total score of the design scheme accordingly, a data-driven decision-making process is achieved. The interference of human factors is reduced, and the objectivity and accuracy of the evaluation results are improved. At the same time, it also makes the evaluation process more efficient and can quickly screen out the best solution.

[0026] Further, after obtaining the optimal solution among the multiple design solutions, the method further includes:

[0027] Based on the multi-source data corresponding to the optimal solution, simulating the line status under different operation scenarios and fault conditions, the multi-source data including meteorological data and geological data;

[0028] Based on the line status, a risk assessment result of the optimal solution is obtained, wherein the risk assessment result includes a physical risk result, an economic risk result, and a social impact risk result.

[0029] The beneficial effects of adopting the above further scheme are: by simulating the line status under different operating scenarios and fault conditions, and conducting risk assessment based on the line status, we can more comprehensively and systematically understand the performance of the optimal solution under different conditions, improve the scientificity and accuracy of the optimal solution evaluation, and help users make more reasonable decisions. It can identify the main risk points and weak links of the optimal solution under different conditions, which helps to improve the safety and stability of the power grid.

[0030] Further, after obtaining the risk assessment result of the optimal solution, the method further includes:

[0031] Based on the risk assessment result, optimization suggestions corresponding to the optimal solution are obtained, and the optimization suggestions include local adjustment suggestions and alternative material recommendations.

[0032] The beneficial effect of adopting the above further solution is that through local adjustments and recommendations for alternative materials, precise measures can be taken to target the main risk points identified in the risk assessment, effectively reducing the physical risks, economic risks and social impact risks in line operation.

[0033] In a second aspect, the present application provides a transmission channel design optimization device based on panoramic true three-dimensional technology, comprising:

[0034] A first acquisition module is used to acquire oblique photography data based on a first flight path and a model layout scheme in a target area, wherein the model layout scheme is a parameter that affects the accuracy of a panoramic true three-dimensional model, and the oblique photography data is image data representing image data collected by a multi-lens camera system during oblique photography;

[0035] A second acquisition module is used to acquire laser point cloud data based on a second flight path in the target area and the model point layout plan;

[0036] A fusion generation module is used to fuse the oblique photography data and the laser point cloud data to generate the panoramic true three-dimensional model, so as to obtain the optimal solution of the power transmission channel in the target area based on the panoramic true three-dimensional model.

[0037] In a third aspect, the present application provides an electronic device, including a processor and a memory, wherein the processor is coupled to the memory;

[0038] The processor is used to execute the computer program stored in the memory so that the electronic device performs the method as described in any one of the first aspects.

[0039] In a fourth aspect, the present application provides a computer-readable storage medium, comprising a computer program or instructions, which, when executed on a computer, enables the computer to execute the method as described in any one of the first aspects. BRIEF DESCRIPTION OF THE DRAWINGS

[0040] Figure 1 It is a flow chart of a method for optimizing the design of a power transmission channel based on panoramic true 3D technology according to an embodiment of the present application;

[0041] Figure 2 This is a structural block diagram of a power transmission channel design optimization device based on panoramic true three-dimensional technology according to an embodiment of the present application;

[0042] Figure 3 This is a structural block diagram of an electronic device according to an embodiment of the present application. DETAILED DESCRIPTION

[0043] The present application is further described in detail below in conjunction with the accompanying drawings.

[0044] The embodiment of the present application provides a transmission channel design optimization method based on panoramic true three-dimensional technology, which can be executed by a device, which can be a server or a terminal device, wherein the server can be an independent physical server, or a server cluster or distributed system composed of multiple physical servers, or a cloud server providing cloud computing services. The terminal device can be a smart phone, a tablet computer, a desktop computer, etc., but is not limited thereto.

[0045] like Figure 1 As shown, a transmission channel design optimization method based on panoramic true 3D technology is shown, with electronic equipment as the execution subject. The main process of the method is described as follows (steps S101 to S103):

[0046] Step S101: Obtain oblique photography data based on a first flight strip and a model layout scheme in a target area, wherein the model layout scheme is a parameter that affects the accuracy of a panoramic true three-dimensional model, and the oblique photography data is image data representing image data collected by a multi-lens camera system during oblique photography.

[0047] In this embodiment, in order to ensure that functions such as point information query, distance measurement, slope analysis, and cut and fill analysis can be accurately performed on the panoramic true three-dimensional model, it is necessary to ensure the absolute accuracy of the panoramic true three-dimensional model, and thus it is necessary to ensure the rationality of the field layout method for acquiring the basic data of the panoramic true three-dimensional model.

[0048] Transmission channels often involve a variety of terrains, and different terrain conditions need to be considered in field layout. Through relevant data experimental verification, a model layout scheme that meets the accuracy requirements of the panoramic true 3D model channel design can be explored. The relevant data experiment can be to lay out field control points and checkpoints within each preset length range under the two terrain conditions of mountain and plain in the target area, and analyze the impact of different model layout schemes on the accuracy of the panoramic true 3D model. Different model layout schemes correspond to different point spacing and point density, and the preset length can be 20 kilometers.

[0049] In this embodiment, unlike traditional aerial photography, the construction of a panoramic true three-dimensional model requires data acquisition on both sides of the channel to be better realized. When designing the flight strip, the engineering requirements, model accuracy and channel width requirements can be used as the basis, while taking into account the oblique photogrammetry and the laser point cloud acquisition range in the flight platform field of view to carry out aerial photography planning and design, and form a flight strip design plan that meets the channel optimization design. The first flight strip refers to the different areas or routes divided by a drone or other aerial photography platform according to a certain flight path and altitude to cover the target area when performing oblique photogrammetry.

[0050] Oblique photography data is image data obtained by photographing ground target areas from multiple angles (including vertical and oblique angles) through a multi-lens camera system mounted on a drone or other aerial platform. Oblique photography data can provide richer three-dimensional information and help generate more realistic panoramic true three-dimensional models.

[0051] Step S102: Acquire laser point cloud data based on the second flight path in the target area and the model point layout plan.

[0052] Laser point cloud data is three-dimensional spatial data obtained through laser scanning technology (such as LiDAR). The laser scanner emits laser pulses and measures their return time to calculate the distance and position of the target object, forming a large amount of three-dimensional point data. These data points are combined to form a point cloud, which can accurately represent the three-dimensional shape of objects such as terrain and buildings.

[0053] Laser point clouds can directly obtain high-precision spatial structural information of objects, which helps to finely construct panoramic true three-dimensional models. The structural effect of the panoramic true three-dimensional model depends on the density of the point cloud and can be dynamically adjusted according to needs during actual flight.

[0054] The second flight zone refers to the different areas or routes that drones or other aerial photography platforms divide into when performing laser scanning, according to a certain flight path and altitude to cover the target area. The first and second flight zones are designed to ensure that the target area is fully and evenly photographed for subsequent data processing and analysis.

[0055] Step S103: fusing the oblique photography data and the laser point cloud data to generate the panoramic true three-dimensional model, so as to obtain the optimal solution for the power transmission channel in the target area based on the panoramic true three-dimensional model.

[0056] In this embodiment, a fusion algorithm can be used to fuse the texture information of the oblique photography data into the laser point cloud data to generate a panoramic true three-dimensional model with real texture. The fusion algorithm can be a voxel-based fusion algorithm, a grid-based fusion algorithm, or a surface-based fusion algorithm.

[0057] The combination of laser point cloud data and oblique image data can optimize the outline of the 3D real scene model and improve the visual effect. The panoramic true 3D model can observe objects from multiple angles, obtain the texture, material and distance information of the objects, and understand the spatial relationship of the objects more intuitively. The panoramic true 3D model combined with the mapping information can upgrade the optimization work of the transmission channel from 2D images to 3D models, which helps to optimize the design level.

[0058] In the field flight, two flights are required to obtain the laser point cloud data and oblique photography data of the target area respectively, which causes cost waste. In this embodiment, in order to optimize the cost waste caused by two flights, laser scanning and oblique photography technology can be integrated into the same aerial photography platform to achieve the acquisition of two sets of data in a single flight. The aerial photography platform is also integrated with a data synchronization acquisition system and high-precision GPS, INS (inertial navigation system) and other positioning and navigation equipment to ensure that the laser scanner and multi-lens camera system can be started and recorded at the same time during the flight, and the consistency of the timestamp is maintained. The positioning and navigation equipment can improve the accuracy of the flight trajectory and the location accuracy of the data.

[0059] In this embodiment, after obtaining the laser point cloud data and oblique photography data collected by the same aerial photography platform, the laser point cloud data and the oblique photography data can be preprocessed respectively, and the preprocessing includes denoising, filtering, correction, etc. to improve the data quality. The laser point cloud data and the oblique photography data are synchronized in time and aligned in space to ensure that they can match accurately. Therefore, the laser point cloud and oblique photography data can be obtained simultaneously through a single flight of the aerial photography platform, which can significantly reduce the cost and time consumption of field flights, improve data acquisition efficiency, reduce duplication of work and waste of resources, and improve data quality and the accuracy of design solutions.

[0060] In this embodiment, after step S103, the following steps are further included:

[0061] Based on the panoramic true three-dimensional model, three-dimensional data corresponding to each of the multiple design schemes corresponding to the power transmission channels in the target area are obtained; for each of the design schemes, the three-dimensional data corresponding to the design scheme is uploaded to a display platform, and based on the display information corresponding to the three-dimensional data and the display environment information corresponding to the display platform, a display strategy corresponding to the design scheme is obtained, so that the display platform displays the three-dimensional data based on the display strategy.

[0062] Display information is a set of multidimensional parameters that characterize the visualization presentation of 3D data and its adaptability. Display information includes but is not limited to model size, model detail level, and preset display purpose. Display environment information may include the device performance and lighting conditions of the display platform, etc., to ensure that 3D data can maintain the best visualization effect in different display environments.

[0063] For each three-dimensional data, the model size determines the physical size of the three-dimensional model corresponding to the three-dimensional data on the display platform, including dimensions such as length, width, and height, to ensure the appropriate proportion and visible range of the three-dimensional model on the screen or virtual reality space; the model detail level describes the fineness of the surface of the three-dimensional model corresponding to the three-dimensional data, such as texture resolution, number of polygons, etc. Models with high detail levels can more realistically reflect the detailed characteristics of the design scheme.

[0064] The electronic device stores a first correspondence between display information, display environment information and display strategy. The current display strategy can be queried based on the display information corresponding to the current three-dimensional data, the display environment information corresponding to the current display platform and the first correspondence. By automatically adapting to different display information and display environment information, it ensures that users can obtain smooth and clear display effects under any conditions, which helps to improve user satisfaction and participation, and enables them to understand and evaluate design solutions more deeply. By comprehensively considering multiple parameters and formulating corresponding adjustment strategies, it can ensure that the three-dimensional data can maintain a relatively consistent display effect when different display information and display environment information are used, which helps to avoid fluctuations in display effects caused by differences in equipment or environment, and improve the stability and reliability of the display.

[0065] When the model size of the 3D model corresponding to the 3D data exceeds the screen or window range, the display strategy includes automatically adjusting the model scale to ensure that it is fully visible and not distorted. For extremely large 3D models that exceed the preset size threshold, the display strategy also includes displaying the 3D model in layers, and users can gradually load and view different levels of details as needed.

[0066] In this embodiment, the display strategy also includes dynamically adjusting the transparency of the three-dimensional model according to the level of model detail. When the three-dimensional model has too many details and causes visual confusion, the transparency of some elements can be automatically adjusted to reduce the visual burden and highlight the important parts.

[0067] The display strategy also includes automatically setting the best viewing angle and lens position according to the preset display purpose to guide users to focus on the important parts of the 3D model. The viewing angle and lens settings can include observation angle, camera position, focal length, etc., which determine the user's viewing angle and feeling when viewing the 3D model corresponding to the 3D data for the first time, and help guide users to focus on the important parts of the 3D model. The display platform also allows users to freely adjust the viewing angle and lens settings, and provides the function of saving and sharing custom viewing angles.

[0068] The display strategy also includes dynamically adjusting the complexity and frame rate of the 3D model according to the device performance to ensure smooth animation of the 3D model without affecting other interactive operations. The display platform can also provide a variety of interactive methods such as gesture control and keyboard shortcuts to facilitate users to view the 3D model from different angles and distances.

[0069] The display strategy also includes real-time adjustment of rendering parameters such as texture compression, shadow quality, anti-aliasing, etc. according to device performance to balance visual effects and rendering performance. For complex scenes or animations, pre-rendering can also be performed in advance and the results can be cached to reduce the burden of real-time rendering.

[0070] The display strategy also includes automatically adjusting the lighting settings of the 3D model according to the lighting conditions of the display environment (such as brightness and color temperature) to ensure that the 3D model can maintain consistent visual effects in different environments. On devices with limited performance display platforms, the shadow quality can be appropriately reduced or the shadow effect can be turned off to increase the rendering speed.

[0071] In this embodiment, there may be multiple design schemes that need to be displayed on the display platform. After obtaining the display strategy corresponding to each of the design schemes, the method also includes the following processing: based on the trained machine learning model, obtaining the display order of each of the design schemes on the display platform.

[0072] Display order refers to the order in which different design solutions are presented to users when they are displayed on the display platform. Displaying different design solutions in sequence can convey information more effectively within a limited time and space, help users understand the main content and design highlights more quickly, reduce unnecessary browsing time, and improve the efficiency of information acquisition. Through orderly display, users can systematically compare the advantages and disadvantages of different design solutions and have a more comprehensive understanding of the characteristics and applicability of each solution. This helps users make more informed and reasonable decisions, especially in scenarios where solution selection and evaluation are required.

[0073] In this embodiment, the training method of the machine learning model specifically includes the following processing:

[0074] Acquire historical information of the design schemes browsed by the user within a preset time period, the historical information including browsing dwell time of different areas in the three-dimensional model corresponding to the three-dimensional data and operation behaviors on the display platform, the operation behaviors including clicking, zooming in, zooming out, and rotating the three-dimensional model, and interaction behaviors with other users, the interaction behaviors including forwarding, commenting, and liking;

[0075] Acquire display preference information actively set by a user, wherein the display preference information includes weights or scores corresponding to different first evaluation parameters corresponding to the design scheme, and the different first evaluation parameters are indicators for evaluating the feasibility of the design scheme;

[0076] Based on the historical information and the display preference information, the machine learning model is trained to obtain the trained machine learning model.

[0077] The interactive behavior can be directed to the entire 3D model or to different areas in the 3D model. The first evaluation parameter can include the economic evaluation parameter and the environmental evaluation parameter of the design scheme. The economic evaluation parameter is a parameter used to evaluate the total cost required for the design scheme, including material cost, manufacturing cost, maintenance cost, etc. The environmental evaluation parameter is a parameter used to evaluate the possible impact of the design scheme on the natural environment, ecosystem and human health, including biodiversity protection, ecological balance maintenance and other aspects.

[0078] In this embodiment, features related to user interests are extracted from the collected historical information and display preference information, and the extracted features are transformed, such as normalized, standardized, etc., to eliminate the dimensional differences and numerical range effects between different features. These features are used as inputs, combined with historical information and display preference information, to train a machine learning model. A supervised learning method can be used to use the user's display preference information as a label to train the model to predict the user's preference for the design solution. The performance of the model is evaluated by cross-validation and other methods to ensure the generalization ability of the model on different data sets, and the model parameters and structure are adjusted according to the evaluation results to optimize the prediction effect of the model.

[0079] Through the trained machine learning model, the display order of multiple design plans can be intelligently adjusted, and the design plans that best match the user's interests, preferences or needs can be displayed first. The personalized display method can significantly improve user satisfaction and help users find content that interests them or is useful to them more quickly.

[0080] As another optional implementation of this embodiment, the display platform can also be allowed to simultaneously display the three-dimensional models of multiple design solutions on the same interface, which can be achieved by splitting the screen, using tabs or sliding views, etc. Each design solution can be scaled, rotated, etc. in its corresponding area, so that users can compare various solutions from different angles.

[0081] In this embodiment, for each of the design solutions, after the display platform displays the three-dimensional data based on the display strategy, the following processing is further included:

[0082] For each of the design schemes, based on the three-dimensional data, obtaining scoring data corresponding to each of a plurality of second evaluation parameters of the design scheme, wherein the plurality of second evaluation parameters include line length, terrain adaptability, and a plurality of first evaluation parameters, and the plurality of first evaluation parameters include an economic evaluation parameter and an environmental evaluation parameter of the design scheme;

[0083] For each of the design solutions, based on the scoring data corresponding to each of the second evaluation parameters, a total score corresponding to the design solution is calculated;

[0084] Based on the total scores corresponding to the various design solutions, the optimal solution among the multiple design solutions is obtained.

[0085] In this embodiment, information related to each second evaluation parameter can be extracted from the three-dimensional data. Terrain adaptability refers to the matching degree and adaptability of the design scheme to the terrain and landforms in which it is located. The terrain adaptability of different design schemes can be automatically collected through the GIS software analysis tool in the electronic device. The line length can be directly obtained from the path data in the three-dimensional model, and the economic evaluation parameters and environmental evaluation parameters can be combined with the information such as material use and energy consumption in the three-dimensional data, and evaluated through a specific algorithm or model.

[0086] In this embodiment, when the display platform displays the 3D model corresponding to the design solution, the total score of the design solution can be calculated. When the 3D model display of each design solution is completed, the total score corresponding to each design solution can be obtained, and according to each total score, the design solution with the highest total score can be regarded as the optimal solution.

[0087] By introducing multiple second evaluation parameters, a comprehensive and integrated evaluation of multiple design schemes is achieved. Not only the technical feasibility of the design scheme (such as line length and terrain adaptability) is considered, but also the two important aspects of economic evaluation parameters and environmental evaluation parameters are taken into account, so as to more accurately reflect the overall advantages and disadvantages of the design scheme. By automatically collecting the scoring data of each evaluation parameter based on three-dimensional data and calculating the total score of the design scheme based on it, a data-driven decision-making process is realized. The interference of human factors is reduced, and the objectivity and accuracy of the evaluation results are improved. At the same time, it also makes the evaluation process more efficient and can quickly screen out the best solution.

[0088] In this embodiment, after obtaining the optimal solution among the multiple design solutions, the following processing is also included: based on the multi-source data corresponding to the optimal solution, simulating the line status under different operation scenarios and fault conditions, the multi-source data including meteorological data and geological data; based on the line status, obtaining the risk assessment result of the optimal solution, the risk assessment result including physical risk results, economic risk results and social impact risk results.

[0089] Meteorological data can come from weather stations, satellite observations or numerical simulation models. Meteorological data can include wind speed, rainfall and temperature. Geological data can come from geological exploration, satellite remote sensing or historical earthquake records. Geological data can include soil type, topography and seismic activity. Operation scenarios can include normal operation, operation under extreme weather conditions (such as typhoons, heavy rains, high temperatures, etc.), and the impact of seasonal changes on line status. Fault conditions can include equipment failure, line interruption caused by natural disasters (such as earthquakes and landslides), etc.

[0090] In this embodiment, the electronic device stores operation simulation software, and the operation simulation software may store a second correspondence between multi-source data, operation scenarios, fault conditions, and line states. The operation simulation software and the second correspondence of the existing power system may be used to simulate the line state of the optimal solution under different conditions according to the defined operation scenarios and fault conditions, combined with the impact of multi-source data on line operation. Exemplarily, the impact of multi-source data on line operation may include the impact of wind speed on line tension, the impact of rainfall on soil moisture and landslide risk, the impact of seismic activity on geological stability and line safety, etc.

[0091] Based on the simulated line status, risk assessment is performed to obtain risk assessment results. Risk assessment covers three aspects: physical risk, economic risk and social impact risk. Among them, physical risk is to assess the degree of physical damage to the transmission line, such as line breakage, tower collapse, etc., which can be obtained by directly observing and analyzing the simulated line status; economic risk is to assess the impact of transmission line damage or interruption on economic activities, including repair costs, power outage losses, supply chain interruptions, etc., which need to be calculated based on the simulated line status and related economic models; social impact risk is to assess the impact of transmission line damage or interruption on social life, including inconvenience to residents' lives, public safety threats, environmental pollution, etc., which need to consider social factors, public reactions and environmental protection requirements and other factors. Social impact risk can also be obtained through trained network models.

[0092] Conduct a comprehensive analysis of the risk assessment results to identify the risk assessment results of the optimal solution under different operating scenarios and failure conditions. Based on the risk assessment results, the main risk points and weak links corresponding to the optimal solution can be obtained.

[0093] By simulating the line status under different operating scenarios and fault conditions, and conducting risk assessment based on the line status, we can have a more comprehensive and systematic understanding of the performance of the optimal solution under different conditions, improve the scientificity and accuracy of the optimal solution assessment, and help users make more reasonable decisions. Risk assessment covers three aspects: physical risk, economic risk, and social impact risk. It can identify the main risk points and weak links of the optimal solution under different conditions, which helps to formulate targeted risk prevention and control measures in advance, reduce potential risk losses, and improve the safety and stability of the power grid.

[0094] After obtaining the risk assessment result of the optimal solution, the method further includes: obtaining optimization suggestions corresponding to the optimal solution based on the risk assessment result, wherein the optimization suggestions include local adjustment suggestions and alternative material recommendations.

[0095] According to the risk assessment results, corresponding optimization suggestions are put forward to reduce the risk and improve the safety and reliability of the line. The electronic device stores a third correspondence between the risk assessment results and the optimization suggestions. By querying the third correspondence, the optimization suggestions corresponding to the current risk assessment results can be obtained.

[0096] By analyzing the risk assessment results, especially the physical risk part, the main risk points that lead to line damage or interruption can be identified, such as excessive line tension and unstable tower foundation. For the identified key risk points, the corresponding local adjustment plan can be queried. For example, for the problem of excessive line tension, the local adjustment suggestion can be to increase the line support point or adjust the line direction; for the problem of unstable tower foundation, the local adjustment suggestion can be to strengthen the foundation or adopt a more stable foundation form. According to the risk points mentioned in the risk assessment results and the specific needs of the preset transmission line, select appropriate alternative materials, which may include bearing capacity, environmental adaptability, etc. For example, in a highly corrosive environment, the local adjustment suggestion can be to use materials with better corrosion resistance. When recommending alternative materials, it is also necessary to consider the cost of the materials and the cost and time required to replace the materials to ensure that the recommended plan is economically feasible.

[0097] Through local adjustments and recommendations for alternative materials, precise measures can be taken for the main risk points identified in the risk assessment, effectively reducing the physical risks, economic risks and social impact risks in line operation. The optimized solution can enhance the disaster resistance of transmission lines, reduce line interruption events caused by natural disasters or equipment failures, and improve the overall stability and reliability of the power grid. Through reasonable local adjustments and material substitutions, effective risk control can be achieved without significantly increasing costs. At the same time, it can reduce power outage losses and repair costs caused by line interruptions and improve the economic benefits of the power grid.

[0098] In this embodiment, the risk assessment results and optimization suggestions can also be compiled into a report and fed back to relevant users so that the users can further optimize the design solution.

[0099] Based on the same technical concept, the present application also provides a transmission channel design optimization device based on panoramic true three-dimensional technology, such as Figure 2 As shown, the transmission channel design optimization device 200 based on panoramic true three-dimensional technology mainly includes:

[0100] A first acquisition module 201 is used to acquire oblique photography data based on a first flight path and a model layout scheme in a target area, wherein the model layout scheme is a parameter that affects the accuracy of a panoramic true three-dimensional model, and the oblique photography data is image data representing image data collected by a multi-lens camera system during oblique photography;

[0101] A second acquisition module 202 is used to acquire laser point cloud data based on a second flight path in the target area and the model point layout plan;

[0102] The fusion generation module 203 is used to fuse the oblique photography data and the laser point cloud data to generate the panoramic true three-dimensional model, so as to obtain the optimal solution of the power transmission channel in the target area based on the panoramic true three-dimensional model.

[0103] Optionally, after the fusion generation module 203, the following further includes:

[0104] A first acquisition submodule is used to acquire three-dimensional data corresponding to each of a plurality of design schemes corresponding to the power transmission channel in the target area based on the panoramic true three-dimensional model;

[0105] The second acquisition submodule is used to upload the three-dimensional data corresponding to each design scheme to the display platform, and obtain the display strategy corresponding to the design scheme based on the display information corresponding to the three-dimensional data and the display environment information corresponding to the display platform, so that the display platform displays the three-dimensional data based on the display strategy.

[0106] Optionally, after the second acquisition submodule, the following is further included:

[0107] The third acquisition submodule is used to obtain the display order of each of the design solutions on the display platform based on the trained machine learning model.

[0108] Optionally, the device further comprises:

[0109] A fourth acquisition submodule is used to acquire historical information of the design schemes browsed by the user within a preset time period, wherein the historical information includes browsing dwell time of different areas in the three-dimensional model corresponding to the three-dimensional data and operation behaviors on the display platform, wherein the operation behaviors include clicking, zooming in, zooming out, and rotating the three-dimensional model, and interaction behaviors with other users, wherein the interaction behaviors include forwarding, commenting, and liking;

[0110] A fifth acquisition submodule is used to acquire display preference information actively set by a user, wherein the display preference information includes weights or scores corresponding to different first evaluation parameters corresponding to the design scheme, and the different first evaluation parameters are indicators for evaluating the feasibility of the design scheme;

[0111] A training submodule is used to train the machine learning model based on the historical information and the display preference information to obtain the trained machine learning model.

[0112] Optionally, for each of the design solutions, after the second obtaining submodule, the following further includes:

[0113] a sixth acquisition submodule, for acquiring, for each of the design schemes, scoring data corresponding to a plurality of second evaluation parameters of the design scheme based on the three-dimensional data, wherein the plurality of second evaluation parameters include line length, terrain adaptability, and a plurality of first evaluation parameters, and the plurality of first evaluation parameters include an economic evaluation parameter and an environmental evaluation parameter of the design scheme;

[0114] A calculation submodule, configured to calculate, for each of the design solutions, a total score corresponding to the design solution based on the scoring data corresponding to each of the second evaluation parameters;

[0115] The optimal solution obtaining submodule is used to obtain the optimal solution among the multiple design solutions based on the total scores corresponding to the various design solutions.

[0116] Optionally, after obtaining the optimal solution submodule, the following is further included:

[0117] A simulation operation submodule, used to simulate the line status under different operation scenarios and fault conditions based on multi-source data corresponding to the optimal solution, wherein the multi-source data includes meteorological data and geological data;

[0118] The risk assessment submodule is used to obtain the risk assessment result of the optimal solution based on the line status, and the risk assessment result includes a physical risk result, an economic risk result and a social impact risk result.

[0119] Optionally, after the risk assessment submodule, it also includes:

[0120] The suggestion acquisition submodule is used to acquire optimization suggestions corresponding to the optimal solution based on the risk assessment results, and the optimization suggestions include local adjustment suggestions and alternative material recommendations.

[0121] 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.

[0122] 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).

[0123] 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.

[0124] 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.

[0125] 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.

[0126] Based on the same technical concept, the present application also provides an electronic device, such as Figure 3 As shown, the electronic device 300 includes a processor 301 and a memory 302 , and may further include an information input / information output (I / O) interface 303 , one or more of a communication component 304 , and a communication bus 305 .

[0127] 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 transmission channel design optimization method based on panoramic true three-dimensional technology; 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 used to operate 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 (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, disk or optical disk. One or more.

[0128] 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.

[0129] 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.

[0130] The electronic device 300 can be implemented by one or more application-specific integrated circuits (ASIC), digital signal processors (DSP), digital signal processing devices (DSPD), programmable logic devices (PLD), field programmable gate arrays (FPGA), controllers, microcontrollers, microprocessors or other electronic components to execute the power transmission channel design optimization method based on panoramic true three-dimensional technology given in the above embodiment.

[0131] The electronic device 300 may include but is not limited to mobile terminals such as digital broadcast receivers, PDAs (personal digital assistants), PMPs (portable multimedia players), etc., and fixed terminals such as digital TVs, desktop computers, etc., and may also be servers, etc.

[0132] Based on the same technical concept, 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 design optimization method based on panoramic true three-dimensional technology are implemented.

[0133] 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.

[0134] 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.

[0135] In addition, the terms "first" and "second" are used for descriptive purposes only and should not be understood as indicating or implying relative importance or implicitly indicating the number of the indicated technical features. Therefore, the features defined as "first" and "second" may explicitly or implicitly include at least one of the features. In the description of this application, the meaning of "plurality" is at least two, such as two, three, etc., unless otherwise clearly and specifically defined.

[0136] In the description of this specification, the description with reference to the terms "one embodiment", "some embodiments", "example", "specific example", or "some examples" etc. means that the specific features, structures, materials or characteristics described in conjunction with the embodiment or example are included in at least one embodiment or example of the present application. In this specification, the schematic representations of the above terms do not necessarily refer to the same embodiment or example. Moreover, the specific features, structures, materials or characteristics described may be combined in any one or more embodiments or examples in a suitable manner. In addition, those skilled in the art may combine and combine the different embodiments or examples described in this specification and the features of the different embodiments or examples, without contradiction.

[0137] Although the embodiments of the present application have been shown and described above, it can be understood that the above embodiments are exemplary and cannot be understood as limitations on the present application. Ordinary technicians in this field can change, modify, replace and modify the above embodiments within the scope of the present application.

Claims

1. A transmission channel design optimization method based on panoramic true three-dimensional technology, characterized in that: include: Obtaining oblique photography data based on the first flight strip and the model point layout scheme in the target area, wherein the model point layout scheme is a parameter that affects the accuracy of the panoramic true three-dimensional model, and the oblique photography data is image data representing image data collected by the multi-lens camera system during the oblique photography process; Based on the second flight zone in the target area and the model point layout plan, acquiring laser point cloud data; The oblique photography data and the laser point cloud data are fused to generate the panoramic true three-dimensional model, so as to obtain the optimal solution of the power transmission channel in the target area based on the panoramic true three-dimensional model.

2. The method for designing and optimizing a power transmission channel based on panoramic true three-dimensional technology according to claim 1, characterized in that: After generating the panoramic true 3D model, the method further includes: Based on the panoramic true three-dimensional model, obtaining three-dimensional data corresponding to each of a plurality of design schemes corresponding to the power transmission channels in the target area; For each of the design schemes, the three-dimensional data corresponding to the design scheme is uploaded to the display platform, and based on the display information corresponding to the three-dimensional data and the display environment information corresponding to the display platform, the display strategy corresponding to the design scheme is obtained, so that the display platform displays the three-dimensional data based on the display strategy.

3. The method for designing and optimizing a power transmission channel based on panoramic true three-dimensional technology according to claim 2, characterized in that: After obtaining the display strategy corresponding to each design solution, the method further includes: Based on the trained machine learning model, the display order of each design solution displayed on the display platform is obtained.

4. The method for designing and optimizing a power transmission channel based on panoramic true three-dimensional technology according to claim 3 is characterized in that: The training method of the machine learning model comprises: Acquire historical information of the design schemes browsed by the user within a preset time period, the historical information including browsing dwell time of different areas in the three-dimensional model corresponding to the three-dimensional data and operation behaviors on the display platform, the operation behaviors including clicking, zooming in, zooming out, and rotating the three-dimensional model, and interaction behaviors with other users, the interaction behaviors including forwarding, commenting, and liking; Acquire display preference information actively set by a user, wherein the display preference information includes weights or scores corresponding to different first evaluation parameters corresponding to the design scheme, and the different first evaluation parameters are indicators for evaluating the feasibility of the design scheme; Based on the historical information and the display preference information, the machine learning model is trained to obtain the trained machine learning model.

5. The method for designing and optimizing a power transmission channel based on panoramic true three-dimensional technology according to claim 2, characterized in that: For each of the design solutions, after the display platform displays the three-dimensional data based on the display strategy, the method further includes: For each of the design schemes, based on the three-dimensional data, obtaining scoring data corresponding to a plurality of second evaluation parameters of the design scheme, wherein the plurality of second evaluation parameters include line length, terrain adaptability, and a plurality of first evaluation parameters, and the plurality of first evaluation parameters include an economic evaluation parameter and an environmental evaluation parameter of the design scheme; For each of the design solutions, based on the scoring data corresponding to each of the second evaluation parameters, a total score corresponding to the design solution is calculated; Based on the total scores corresponding to the various design solutions, the optimal solution among the multiple design solutions is obtained.

6. The method for designing and optimizing a power transmission channel based on panoramic true three-dimensional technology according to claim 5, characterized in that: After obtaining the optimal solution among the multiple design solutions, the method further includes: Based on multi-source data corresponding to the optimal solution, simulating line states under different operation scenarios and fault conditions, the multi-source data including meteorological data and geological data; Based on the line status, a risk assessment result of the optimal solution is obtained, wherein the risk assessment result includes a physical risk result, an economic risk result, and a social impact risk result.

7. The method for designing and optimizing a power transmission channel based on panoramic true three-dimensional technology according to claim 6, characterized in that: After obtaining the risk assessment result of the optimal solution, the method further includes: Based on the risk assessment result, optimization suggestions corresponding to the optimal solution are obtained, and the optimization suggestions include local adjustment suggestions and alternative material recommendations.

8. A transmission channel design optimization device based on panoramic true three-dimensional technology, characterized in that: include: A first acquisition module is used to acquire oblique photography data based on a first flight path and a model layout scheme in a target area, wherein the model layout scheme is a parameter that affects the accuracy of a panoramic true three-dimensional model, and the oblique photography data is image data representing image data collected by a multi-lens camera system during oblique photography; A second acquisition module is used to acquire laser point cloud data based on a second flight path in the target area and the model point layout plan; A fusion generation module is used to fuse the oblique photography data and the laser point cloud data to generate the panoramic true three-dimensional model, so as to obtain the optimal solution of the power transmission channel in the target area based on the panoramic true three-dimensional model.

9. An electronic device, characterized in that: comprising a processor and a memory, wherein the processor is coupled to the 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, which, when executed on a computer, causes the computer to execute the method according to any one of claims 1 to 7.

Images