A method and system for constructing an ultra-high definition map of a transmission line corridor

Abstract

A method and system for constructing an ultra-high-definition map of a transmission line corridor, belonging to the technical field of power grid inspection equipment. It is characterized by including: by using ArcGIS technology, after cutting and splicing the orthophoto images of unmanned aerial vehicles, they are superimposed on the ArcGIS platform in the form of layers to realize the structured modeling of the orthophoto images of the transmission line corridor and the production and viewing of ultra-high-definition GIS maps, with an accuracy within 5 meters; by using longitude and latitude comparison, the line and tower ledger data are superimposed on the longitude and latitude of the tiles in the ArcGIS platform of the orthophoto images of the transmission line, the GPS longitude and latitude of the towers are automatically matched, and the towers are linked to form a line, realizing the structured modeling of the orthophoto images of the transmission line corridor. The present invention can be used as the basis for big data analysis, is close to reality, reduces the labor intensity of inspection personnel, and facilitates the statistics and management of channel hidden danger information.

Description

Technical Field

[0001] A method and system for constructing an ultra-high-definition map of a transmission line corridor, belonging to the technical field of power grid inspection equipment. Background Technique

[0002] The inspection work of transmission lines is an important foundation for ensuring the safe operation of transmission lines. Hidden dangers in the transmission line corridor and defects of the main body are discovered through daily inspections, and maintenance personnel are arranged in a timely manner to eliminate the defects. Initially, due to technical limitations, the daily inspection of transmission lines basically relied on manual operations. Mainly, manual images were taken, compared with the equipment ledger one by one, and then superimposed on the satellite map to complete the construction of the transmission line. The manual inspection method has problems such as a large workload, being restricted by terrain and landforms, low efficiency, low accuracy level of ordinary satellite images, unclear images, low efficiency, and poor quality.

[0003] Chinese Patent CN202110845735.4 discloses a method and device for simultaneous localization and mapping of a transmission line inspection robot, belonging to the technical field of transmission line inspection. The method of the present invention includes: judging whether it deviates from the preset inspection route according to the navigation signal; if deviating from the route, emitting a measurement signal to the surrounding area, removing false data points according to the relevant data of the measurement signal, then establishing a local grid map for the remaining feature points, and then optimizing the local grid map to obtain a globally consistent map, and then generating two feature vectors for pose estimation using the observation data and the extended Kalman filter, and obtaining the best-matched group using the Mahalanobis distance, and finally updating the pose according to the best match. The mapping and simultaneous localization method of the present invention can enable the inspection robot to autonomously realize the inspection of the line inspection target even under poor navigation signals.

[0004] Chinese Patent CN202110034242.2 discloses a method and device for fault location in a transmission line area based on inspection and maintenance data. The method includes: obtaining a map of the transmission line area and monitoring data, where the monitoring data includes meteorological monitoring data, transmission and substation monitoring data, and fault monitoring data, predicting the probability of a fault occurring in each section or node of the transmission line; constructing a map for inspection and maintenance display to be constructed, including pre-stored equipment information, the probability of a fault occurring in each section or node in the transmission line, and annotation information of the monitoring data at the corresponding position on the transmission line area map; constructing a transmission line area model, and determining the fault occurrence location according to the model, including the fault location corresponding to the fault annotation information in the annotation information, and the position of the transmission line section or node where the fault occurrence probability is higher than the preset safety threshold. This application can view the fault situation at any time through the transmission line area model and determine the fault location for timely repair.

[0005] How to improve the quality and accuracy of satellite images, reduce the influence of terrain and landforms, and establish the correlation between high-precision channel images and transmission line ledgers has become one of the urgent problems to be solved currently. Summary of the Invention

[0006] The technical problem to be solved by the present invention is: to overcome the deficiencies of the prior art and provide a method and system for constructing an ultra-high-definition map of a transmission line channel.

[0007] The technical solution adopted by the present invention to solve its technical problems is: the method for constructing an ultra-high-definition map of a transmission line channel is characterized by including the following technical means: by using ArcGIS technology, after cutting and splicing the orthophoto images of unmanned aerial vehicles (UAVs), they are superimposed on the ArcGIS platform in the form of layers, which can realize the structured modeling of the orthophoto images of the transmission line channel and the production and viewing of ultra-high-definition GIS maps, and the accuracy can reach 5 meters (the accuracy of non-classified maps on the market is 100 meters). By comparing the longitude and latitude, the line and tower ledger data are superimposed on the longitude and latitude of the tiles in the ArcGIS platform of the orthophoto images of the transmission line, and the GPS longitude and latitude of the towers are automatically matched. After linking the towers to form a line, the structured modeling of the orthophoto images of the transmission line channel can be realized.

[0008] Preferably, the UAV orthophoto image modeling technology is the basis for carrying out the research of this project. By using a UAV equipped with a visible light imaging lens and based on the real-time kinematic (RTK) technology, the inspection of the transmission line channel is carried out. Each section of the channel forms about 60 visible light images with a resolution of (7000 - 9000) * (4500 - 5500) pixels. The generated visible light images all carry position information, and the error does not exceed 0.01 meters. Through structured modeling, the generated channel images are spliced and superimposed on the ArcGIS platform to form a visual display.

[0009] Preferably, based on the orthophoto images of the transmission line channel, an ultra-high-definition GIS map is constructed. By using technical means such as data modeling, image recognition, deep learning, and correlation analysis, the hidden dangers in the transmission channel are automatically identified. Combining the information of the transmission line equipment ledger, the structured data of the hidden dangers in the transmission channels throughout the network is obtained, replacing the past manual inspection and manual marking methods.

[0010] Preferably, the specific steps are as follows: First, an unmanned aerial vehicle (UAV) is equipped with a visible light imaging device to autonomously patrol directly above the transmission line corridor, obtaining orthophotos of the corridor. The resolution of each orthophoto of the corridor is approximately (7000 - 9000) * (4500 - 5500) pixels, and the number of orthophotos generated within each section of the corridor is approximately 60. Each orthophoto of the corridor is stitched and cut according to the RTK differential standard to obtain tile data suitable for the ArcGIS platform. The tile data is then superimposed onto the ArcGIS platform through structured modeling technology to form an ultra-high definition GIS map with a resolution of 5 meters.

[0011] Preferably, second, the transmission line equipment ledger is superimposed onto the ArcGIS platform of the orthophotos of the transmission line corridor to achieve a logical association between the corridor images and the transmission equipment, forming a visual display.

[0012] Preferably, third, with the help of artificial intelligence algorithms such as image recognition and deep learning, a neural network and training model for identifying corridor hazards are constructed, and a dataset available for training is prepared. After a certain amount of training, it is possible to automatically identify hazard information such as greenhouses, houses, easily floating objects, trees, cross - overs, and accumulations in the corridor.

[0013] Preferably, fourth, using a matrix algorithm, by comparing the hazard location with the RTK differential location of the tile data in the ArcGIS platform of the orthophotos of the transmission line corridor, the GPS longitude and latitude of the corridor hazards are automatically calculated.

[0014] Finally, by performing a correlation analysis on the GPS longitude and latitude of the corridor hazards and the transmission line equipment ledger, structured data statistics of the hazard information in the transmission line corridor can be achieved.

[0015] Preferably, by using ArcGIS technology, after cutting and stitching the UAV orthophotos, they are superimposed onto the ArcGIS platform in the form of layers, enabling structured modeling of the orthophotos of the transmission line corridor and the production and viewing of ultra - high definition GIS maps with an accuracy of up to 5 meters (the accuracy of non - classified maps on the market is 100 meters).

[0016] Preferably, by using longitude and latitude comparison, the line and tower ledger data is superimposed with the longitude and latitude of the tiles in the ArcGIS platform of the orthophotos of the transmission line. The GPS longitude and latitude of the towers are automatically matched, and after linking the towers to form a line, structured modeling of the orthophotos of the transmission line corridor can be achieved.

[0017] A system for the method of constructing an ultra-high-definition map of a transmission line channel as described above, characterized in that it includes a drone, a visible light imaging lens, and an ArcGIS platform; the drone is equipped with a visible light imaging lens, and the drone conducts inspections to obtain orthophotos of the channel. The orthophotos of the channel are mosaicked and cut according to the RTK differential standard to obtain tile data, and the tile data is superimposed into the ArcGIS platform through structured modeling technology.

[0018] Compared with the prior art, the beneficial effects of a method and system for constructing an ultra-high-definition map of a transmission line channel of the present invention are as follows: By gradually replacing the current situation mainly based on manual inspections with autonomous drone inspections of the channel, the frequency and quality of transmission line inspections can be improved, and the outsourcing service cost can be reduced. At the same time, the quality of the collected data has a qualitative improvement compared to the data collected by manual inspections, which can be used as the basis for later big data analysis.

[0019] By performing structured modeling on the collected orthophotos, an ultra-high-definition GIS map with an accuracy of up to 5 meters can be formed, creating a panoramic view of the transmission line channel. Compared with the open-source GIS platforms or finished GIS maps of surveying and mapping institutes in the network, it has the characteristics of self-updating of map tile data, high accuracy, low cost, new data, and being closest to reality.

[0020] By equipping the drone with visible light imaging equipment and taking forward-facing photos above the channel, a large number of high-quality and seamless channel images can be generated. In terms of dimensions such as space and time, it overcomes the inconveniences brought by manual inspections, reduces the labor intensity of inspection personnel, and greatly improves the inspection quality and work efficiency. The generated orthophotos of the channel are modeled into the ArcGIS platform, and a large amount of single and unrelated data is structured and concatenated, displayed in a visual manner, and managed and applied in a structured way. The existing equipment ledger is superimposed onto the formed ultra-high-definition GIS map to associate the orthophotos with the equipment ledger, enabling accurate statistics of data from both the equipment space and geographical location aspects. After associating the orthophotos with the equipment ledger, based on the ledger data, it is convenient to statistically manage the hidden danger information of the channel. Description of the Drawings

[0021] Hereinafter, the technical solutions of the present invention will be further described in detail in conjunction with the drawings and embodiments. However, it should be understood that these drawings are only designed for explanatory purposes and therefore do not limit the scope of the present invention. In addition, unless otherwise specified, these drawings are only intended to conceptually illustrate the structural configurations described herein and are not necessarily drawn to scale.

[0022] Figure 1 shows a drone for a method and system for constructing an ultra-high-definition map of a transmission line channel.

[0023] Figure 2Ultra-high-definition map display of a transmission line corridor construction method and system Figure 1 。

[0024] Figure 3 Ultra-high-definition map display of a transmission line corridor construction method and system Figure 2 。

[0025] Figure 4 Existing ultra-high-definition map display of a transmission line corridor construction method and system Figure 3 。 Detailed implementation manners

[0026] It should be noted that the terms used herein are only for describing the detailed implementation manners and are not intended to limit the exemplary embodiments according to the present application. As used herein, unless the context clearly indicates otherwise, the singular forms are also intended to include the plural forms. In addition, the terms "comprising" and "having" and any variations thereof are intended to cover non-exclusive inclusion. For example, a process, method, system, product or device that includes a series of steps or units does not necessarily have to be limited to those clearly listed steps or units, but may include other steps or units not clearly listed or inherent to these processes, methods, products or devices.

[0027] It should be noted that, without conflict, the embodiments in the present application and the features in the embodiments may be combined with each other.

[0028] The following further describes the present invention with reference to specific embodiments, and Embodiment 1 is the best embodiment.

[0029] Embodiment 1

[0030] The system includes an unmanned aerial vehicle (UAV), a visible light imaging lens, and an ArcGIS platform; by mounting the visible light imaging lens on the UAV, the UAV conducts inspections to obtain the orthophoto images of the corridor. The orthophoto images of the corridor are stitched and cut according to the RTK differential standard to obtain tile data, and the tile data is superimposed into the ArcGIS platform through structured modeling technology.

[0031] The UAV is equipped with a visible light imaging lens and autonomously conducts inspections directly above the transmission line corridor based on the real-time differential RTK technology to obtain the orthophoto images of the corridor. The resolution of each orthophoto image of the corridor is approximately 8000*5000 pixels, and the number of orthophoto images generated in each section of the corridor is 60. All the generated visible light images carry position information and the error does not exceed 0.01 meters. Through structured modeling, the generated corridor images are stitched and superimposed into the ArcGIS platform to form a visual display;

[0032] Each channel orthophoto is spliced and cut according to the RTK differential standard to obtain tile data suitable for the ArcGIS platform. The tile data is superimposed on the ArcGIS platform through structured modeling technology to form an ultra-high-definition GIS map with a resolution of 5 meters. The technical means of data modeling, image recognition, deep learning, and correlation analysis are used to automatically identify hidden dangers in the transmission channel, and combined with the transmission line equipment ledger information, the structured data of transmission channel hidden dangers in the entire network are obtained;

[0033] By using longitude and latitude comparison, the line and tower ledger data are superimposed with the longitude and latitude of the tiles in the ArcGIS platform of the power transmission line orthophoto, the GPS longitude and latitude of the towers are automatically matched, and the towers are linked to form a line to achieve the structured modeling of the orthophoto of the power transmission line channel; the specific steps include:

[0034] 1) Overlay the transmission line equipment ledger onto the transmission line channel orthophoto ArcGIS platform to achieve the logical association between the channel image and the transmission equipment and form a visual display;

[0035] 2) With the help of artificial intelligence algorithms such as image recognition and deep learning, a neural network and training model for channel hidden danger identification are constructed, and a training data set is prepared to realize the automatic identification of hidden danger information in the channel;

[0036] 3) Using matrix algorithm, the GPS longitude and latitude of the channel hidden dangers are automatically calculated by comparing the hidden danger location with the RTK differential position of the tile data in the ArcGIS platform of the transmission line channel orthophoto;

[0037] 4) Carry out correlation analysis between the GPS longitude and latitude of channel hidden dangers and the equipment ledger of transmission line to realize structured data statistics of transmission line channel hidden danger information.

[0038] Example 2

[0039] The system includes a drone, a visible light imaging lens, and an ArcGIS platform. The drone is equipped with a visible light imaging lens and the orthophoto of the channel is obtained by patrolling. The orthophoto of the channel is spliced and cut according to the RTK differential standard to obtain tile data, and the tile data is superimposed on the ArcGIS platform through structured modeling technology.

[0040] The drone is equipped with a visible light imaging lens and conducts autonomous patrols directly above the transmission line channel based on real-time differential RTK technology to obtain channel orthophotos. The resolution of each channel orthophoto is about 8000*4500 pixels. The number of orthophotos generated in each channel is 55. The generated visible light images all carry position information, and the error does not exceed 0.01 meters. Through structured modeling, the generated channel images are spliced and superimposed on the ArcGIS platform to form a visual display.

[0041] Each channel orthophoto is spliced and cut according to the RTK differential standard to obtain tile data suitable for the ArcGIS platform. The tile data is superimposed on the ArcGIS platform through structured modeling technology to form an ultra-high-definition GIS map with a resolution of 5 meters. The technical means of data modeling, image recognition, deep learning, and correlation analysis are used to automatically identify hidden dangers in the transmission channel, and combined with the transmission line equipment ledger information, the structured data of transmission channel hidden dangers in the entire network are obtained;

[0042] By using longitude and latitude comparison, the line and tower ledger data are superimposed with the longitude and latitude of the tiles in the ArcGIS platform of the power transmission line orthophoto, the GPS longitude and latitude of the towers are automatically matched, and the towers are linked to form a line to achieve the structured modeling of the orthophoto of the power transmission line channel; the specific steps include:

[0043] 1) Overlay the transmission line equipment ledger onto the transmission line channel orthophoto ArcGIS platform to achieve the logical association between the channel image and the transmission equipment and form a visual display;

[0044] 2) With the help of artificial intelligence algorithms such as image recognition and deep learning, a neural network and training model for channel hidden danger identification are constructed, and a training data set is prepared to realize the automatic identification of hidden danger information in the channel;

[0045] 3) Using matrix algorithm, the GPS longitude and latitude of the channel hidden dangers are automatically calculated by comparing the hidden danger location with the RTK differential position of the tile data in the ArcGIS platform of the transmission line channel orthophoto;

[0046] 4) Carry out correlation analysis between the GPS longitude and latitude of channel hidden dangers and the equipment ledger of transmission line to realize structured data statistics of transmission line channel hidden danger information.

[0047] Example 3

[0048] The system includes a drone, a visible light imaging lens, and an ArcGIS platform. The drone is equipped with a visible light imaging lens and the orthophoto of the channel is obtained by patrolling. The orthophoto of the channel is spliced and cut according to the RTK differential standard to obtain tile data, and the tile data is superimposed on the ArcGIS platform through structured modeling technology.

[0049] The drone is equipped with a visible light imaging lens. Based on the real-time kinematic (RTK) technology, it autonomously patrols directly above the transmission line corridor to obtain orthophotos of the corridor. The resolution of each orthophoto of the corridor is approximately 7000*4500 pixels. The number of orthophotos generated within each section of the corridor is 50. The generated visible light images all carry position information, and the error does not exceed 0.01 meters. Through structured modeling, the generated corridor images are spliced and overlaid onto the ArcGIS platform to form a visual display;

[0050] Each orthophoto of the corridor is spliced and cut according to the RTK differential standard to obtain tile data suitable for the ArcGIS platform. The tile data is overlaid onto the ArcGIS platform through structured modeling technology to form an ultra-high-definition GIS map with a resolution of 5 meters. Using technical means such as data modeling, image recognition, deep learning, and correlation analysis, potential hazards in the transmission corridor are automatically identified. Combining with the equipment ledger information of the transmission line, structured data on potential hazards in the entire network's transmission corridor is obtained;

[0051] Using longitude and latitude comparison, the line and tower ledger data is overlaid with the longitude and latitude of the tiles in the ArcGIS platform of the orthophoto of the transmission line. The GPS longitude and latitude of the towers are automatically matched, and the towers are linked to form a line, realizing the structured modeling of the orthophoto of the transmission line corridor; The specific steps are as follows:

[0052] 1) Overlay the transmission line equipment ledger onto the ArcGIS platform of the orthophoto of the transmission line corridor to achieve the logical association between the corridor image and the transmission equipment, forming a visual display;

[0053] 2) With the help of artificial intelligence algorithms such as image recognition and deep learning, construct a neural network and training model for identifying corridor hazards, prepare a training dataset, and realize the automatic identification of hazard information in the corridor;

[0054] 3) Use matrix algorithms to automatically calculate the GPS longitude and latitude of corridor hazards by comparing the hazard positions with the RTK differential positions of the tile data in the ArcGIS platform of the orthophoto of the transmission line corridor;

[0055] 4) Conduct a correlation analysis between the GPS longitude and latitude of corridor hazards and the transmission line equipment ledger to realize the statistical structured data of hazard information in the transmission line corridor.

[0056] Example 4

[0057] The system includes a drone, a visible light imaging lens, and an ArcGIS platform; The drone is equipped with a visible light imaging lens. The drone patrols to obtain orthophotos of the corridor. The orthophotos of the corridor are spliced and cut according to the RTK differential standard to obtain tile data, and the tile data is overlaid onto the ArcGIS platform through structured modeling technology.

[0058] The drone is equipped with a visible light imaging lens. Based on the real-time differential RTK technology, it conducts autonomous inspections directly above the transmission line corridor to obtain orthophotos of the corridor. The resolution of each orthophoto of the corridor is approximately 9000 * 5500 pixels, and the number of orthophotos generated within each section of the corridor is 70. The generated visible light images all carry position information with an error not exceeding 0.01 meters. Through structured modeling, the generated corridor images are spliced and superimposed onto the ArcGIS platform to form a visual display;

[0059] Each orthophoto of the corridor is spliced and cut according to the RTK differential standard to obtain tile data suitable for the ArcGIS platform. The tile data is superimposed onto the ArcGIS platform through structured modeling technology to form an ultra-high-definition GIS map with a resolution of 5 meters; By using technical means such as data modeling, image recognition, deep learning, and correlation analysis, potential hazards in the transmission corridor are automatically identified, and combined with the equipment ledger information of the transmission line, structured data on potential hazards in the entire network's transmission corridor is obtained;

[0060] Using longitude and latitude comparison, the line and tower ledger data is superimposed with the longitude and latitude of the tiles in the ArcGIS platform of the orthophoto of the transmission line, and the GPS longitude and latitude of the tower are automatically matched. After linking the towers, a line is formed to achieve structured modeling of the orthophoto of the transmission line corridor; The specific steps are as follows:

[0061] 1) Superimpose the equipment ledger of the transmission line onto the ArcGIS platform of the orthophoto of the transmission line corridor to achieve the logical association between the corridor image and the transmission equipment, and form a visual display;

[0062] 2) With the help of artificial intelligence algorithms such as image recognition and deep learning, construct a neural network and training model for identifying potential hazards in the corridor, prepare a training data set, and achieve automatic identification of potential hazard information in the corridor;

[0063] 3) Use matrix algorithms to automatically calculate the GPS longitude and latitude of the corridor hazards by comparing the hazard positions with the RTK differential positions of the tile data in the ArcGIS platform of the orthophoto of the transmission line corridor;

[0064] 4) Conduct a correlation analysis between the GPS longitude and latitude of the corridor hazards and the equipment ledger of the transmission line to achieve structured data statistics on the potential hazard information of the transmission line corridor.

[0065] The above are only the preferred embodiments of the present invention, and are not intended to limit the present invention in other forms. Any person skilled in the art may use the technical content disclosed above to make changes or modifications into equivalent embodiments with equivalent changes. However, any simple modifications, equivalent changes and modifications made to the above embodiments based on the technical essence of the present invention without departing from the technical solution content of the present invention still fall within the protection scope of the technical solution of the present invention.

Claims

1. A method for constructing an ultra-high definition map of a transmission line corridor, characterized in that: By applying ArcGIS technology, the orthophoto images of the unmanned aerial vehicle (UAV) are cut and spliced, and then superimposed on the ArcGIS platform in the form of layers to achieve the structured modeling of the orthophoto images of the transmission line corridor and the production and viewing of ultra-high-definition GIS maps with an accuracy within 5 meters. By using longitude and latitude comparison, the line and tower ledger data are superimposed on the tile longitude and latitude in the ArcGIS platform of the orthophoto images of the transmission line, and the GPS longitude and latitude of the towers are automatically matched. After the towers are linked to form a line, the structured modeling of the orthophoto images of the transmission line corridor is realized. The orthophoto images are based on the orthophoto images of the transmission line corridor: an ultra-high-definition GIS map is constructed, and by using technical means such as data modeling, image recognition, deep learning, and correlation analysis, the hidden dangers in the transmission corridor are automatically identified, and combined with the information of the transmission line equipment ledger, the structured data of the hidden dangers in the transmission corridors throughout the network are obtained. By using the matrix algorithm, through the comparison between the location of the hidden danger and the RTK differential location of the tile data in the ArcGIS platform of the orthophoto images of the transmission line corridor, the GPS longitude and latitude of the hidden danger in the corridor are automatically calculated.

2. The method for constructing an ultra-high definition map of a transmission line corridor according to claim 1, wherein: The UAV is equipped with a visible light imaging lens and conducts inspections on the transmission line corridor based on the real-time kinematic (RTK) technology. Each section of the corridor forms 50 - 70 visible light images with a resolution of (7000 - 9000) * (4500 - 5500) pixels. The generated visible light images all carry location information with an error not exceeding 0.01 meters. Through structured modeling, the generated corridor images are spliced and superimposed on the ArcGIS platform to form a visual display.

3. A method for constructing an ultra-high definition map of a transmission line corridor according to claim 1, characterized in that: Specifically, it includes the following steps: By using the UAV equipped with visible light imaging equipment, autonomous inspections are carried out directly above the transmission line corridor to obtain the orthophoto images of the corridor. The resolution of each orthophoto image of the corridor is (7000 - 9000) * (4500 - 5500) pixels, and the number of orthophoto images generated in each section of the corridor is 50 - 70. Each orthophoto image of the corridor is spliced and cut according to the RTK differential standard to obtain tile data suitable for the ArcGIS platform. The tile data is superimposed on the ArcGIS platform through structured modeling technology to form an ultra-high-definition GIS map with a resolution of 5 meters.

4. A method for constructing an ultra-high-definition map of a transmission line corridor according to claim 1, characterized in that: Specifically, it includes the following steps: The transmission line equipment ledger is superimposed on the ArcGIS platform of the orthophoto images of the transmission line corridor to achieve the logical association between the corridor images and the transmission equipment, forming a visual display.

5. A method for constructing an ultra-high definition map of a transmission line corridor, characterized in that: Specifically, it includes the following steps: With the help of image recognition and deep learning artificial intelligence algorithms, a neural network and a training model for identifying hidden dangers in the corridor are constructed, and a training data set is prepared to achieve the automatic identification of the hidden danger information in the corridor.

6. A method for constructing an ultra-high definition map of a transmission line corridor according to claim 1, characterized in that: Specifically, it includes the following steps: The correlation analysis is carried out between the GPS longitude and latitude of the hidden dangers in the corridor and the transmission line equipment ledger to achieve the structured data statistics of the hidden danger information in the transmission line corridor.

7. A system for implementing the method for constructing an ultra-high definition map of a transmission line channel according to any one of claims 1 to 6, characterized in that: It includes an unmanned aerial vehicle (UAV), a visible light imaging lens, and an ArcGIS platform. The UAV is equipped with the visible light imaging lens. The UAV conducts inspections to obtain orthophotos of the corridor. The orthophotos of the corridor are stitched and cut according to the RTK differential standard to obtain tile data, and the tile data is superimposed on the ArcGIS platform through structured modeling technology.

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