Distribution network unmanned aerial vehicle data collecting, recording and treatment method

Abstract

According to the distribution network unmanned aerial vehicle data collecting, recording and governance method provided by the invention, a static graph of a power grid, a homologous maintenance tool and the like are integrated, a data governance micro-application is constructed by means of an unmanned aerial vehicle inspection platform, and an intelligent data collecting and recording mode improves the efficiency and accuracy of data collection; an auditing and response mechanism of the data governance list ensures the quality and availability of the data, and the governance level of the power grid data is effectively improved; the scheme comprises the following steps: step 1, collecting and recording data; comprising unmanned aerial vehicle collection and recording and data management APP collection and recording; step 2, returning an acquisition and recording result to the unmanned aerial vehicle inspection platform; step 3, performing data processing and graph comparison on an acquisition and recording result to generate a data governance list, and then performing data governance list auditing; a static graph of the power grid is called in the step 3; 4, if not, returning to the step 3; and 5, submitting a data governance list, calling a homologous maintenance to-be-handled work order generation interface, and pushing the data governance list in response to an auditing result.

Description

Technical Field

[0001] The present invention relates to the field of drone data collection and recording technology, and in particular to a distribution network drone data collection and recording and management method. Background Art

[0002] Qinghai Electric Power Company completed the deployment, joint commissioning and related verification of the static one-picture grid in May 2022, and simultaneously organized local municipal units to carry out the construction and application of homologous maintenance tools, during which it gradually started the data governance of various professional additions and stock equipment. So far, the basic data governance and practical application of the static one-picture grid in the province have achieved initial results, providing support for grid operation, emergency maintenance, business expansion and installation, distribution network planning and other businesses.

[0003] In order to ensure the consistency between system data and on-site physical equipment information, the collection of basic data of the distribution network must conduct on-site surveys of the grid structure and equipment operation, draw line wiring diagrams and layout diagrams based on actual conditions, and enter the collected equipment ledger information into the same-source maintenance tool in a complete and accurate manner. The implementation of the above work requires a lot of manpower, material resources and time costs. How to quickly and efficiently complete the collection of basic data of the distribution network while ensuring data quality depends on the establishment of an efficient data collection method.

[0004] At present, the application of the static one-picture diagram of the power grid only supports browsing and analysis. If problems with the number of pictures are found, it is necessary to initiate a change process through the same-source maintenance tool for data maintenance. The change process is relatively cumbersome. Since the accuracy of the data in the static one-picture diagram of the power grid cannot be verified during the equipment change link, such as inaccurate pictures, inaccurate numbers of pictures, abnormal coordinates, flying points and lines, overlapping equipment, missing equipment, etc., it is necessary to wait for the change process to be released and then manually review it on the one-picture diagram of the power grid. If problems are found, it is necessary to initiate the change process again in the same-source maintenance tool for secondary maintenance. If real on-site graphic ledger data can be provided in the same-source maintenance equipment change maintenance link, the problem of multiple rework of data maintenance can be greatly reduced.

[0005] In summary, the research and development of distribution network drone data collection and management methods is of great significance for improving the efficiency and accuracy of basic data collection and recording in distribution networks, as well as optimizing the abnormal maintenance process of homologous maintenance equipment. Summary of the invention

[0006] The present invention aims to provide a distribution network drone data collection and management method to address the technical defects of the prior art, integrate a static map of the power grid, homologous maintenance tools, etc., build a data management micro-application with the help of a drone inspection platform, and the intelligent data collection method improves the efficiency and accuracy of data collection. The review and response mechanism of the data management list ensures the quality and availability of the data, effectively improving the management level of power grid data.

[0007] The data collection and management method of the distribution network drone of the present invention comprises the following steps:

[0008] Step 1: Data collection; the data collection includes drone collection and data management APP collection;

[0009] Step 2: The recording results are transmitted back to the drone inspection platform;

[0010] Step 3, the data is processed and compared with the graphics based on the collected results, a data management list is generated, and then the data management list is reviewed; in step 3, a static image of the power grid is called;

[0011] Step 4: If the audit result is negative, return to step 3;

[0012] Step 5, respond to the audit result, submit the data governance list, call the same-source maintenance to-do work order generation interface, and push the data governance list.

[0013] Preferably, the drone recording comprises the following steps:

[0014] Step 1-1-1, prepare inspection tasks and issue inspection work orders;

[0015] Step 1-1-2, drone on-site inspection and data collection;

[0016] Step 1-1-3, the drone inspection results are transmitted back to the drone inspection platform.

[0017] Preferably, the data management APP collection and recording includes the following steps:

[0018] Step 1-2-1, call the business middle platform to obtain the line equipment ledger and graphic topology data, and create data governance tasks by line on the mobile terminal;

[0019] Step 1-2-2, initialization of mobile terminal ledger and graphic data;

[0020] Step 1-2-3: On-site verification, coordinate collection and equipment re-recording, and the recording results are sent back to the drone inspection platform.

[0021] Preferably, in step 5, the data management list is pushed to the homologous maintenance tool. After the homologous maintenance tool completes receiving the data management list, it automatically generates a to-do work order, creates a change task, completes the ledger and graphic management, updates the power grid map, and closes the work order.

[0022] Preferably, after the drone completes data collection in step 1-1-2, the records, coordinates, and photos of the collection equipment are received and sorted, and a layout of the collection route is automatically generated.

[0023] Preferably, the graphic comparison in step 3 is performed by the following steps:

[0024] Step 3-1, traverse the pole tower equipment under the line in turn according to the recorded line, and use the pole number of the recorded pole tower and the full name of the same source pole tower for fuzzy matching. If there are multiple matches, the first one is taken as the matching pole tower by default;

[0025] Step 3-2, if they match, compare the coordinates of the recorded tower and the matched homologous tower. If the straight-line distance exceeds the deviation distance, mark the recorded tower and the homologous tower as "coordinate management";

[0026] Step 3-3, after all towers under the recording line are traversed, the recording towers that are not matched are marked as "changed and added";

[0027] Step 3-4: After all towers under the recording line are traversed, the corresponding homologous towers that are not matched under the homologous branch line are marked as "changed and deleted".

[0028] Preferably, in step 3, a static map of the power grid is called, and the topological map and ledger data of the collected lines are displayed based on the static map of the power grid. The devices that are different from the static map of the power grid are compared through the device name and tower coordinates, and a corresponding data management list is generated.

[0029] Preferably, the drone uses Beidou positioning and RTK modules to record the precise coordinates of power towers and pole-mounted equipment, and complete visible light photography of different parts and angles of the equipment.

[0030] Preferably, the data management APP quickly collects and manages the coordinates, photos, and barcode information of the distribution network's 10kV cables, distribution station buildings, and 0.4kV and below low-voltage line equipment. It first obtains the ledger and graphic topology data of the lines to be managed from the business middle station, and restores and displays the line layout on the high-definition map. When conducting inspection operations, for equipment that does not correspond to the on-site physical objects and the static grid map data, the data management APP is used to record the equipment coordinates, ledgers, barcodes, and photo information. The newly recorded or changed equipment is displayed in real time on the mobile map, and is connected according to the graphic topology relationship to restore the distribution network grid structure.

[0031] Preferably, in the collection area where the mobile signal is poor, the collection mobile phone used by the data management APP is equipped with a Beidou positioning module.

[0032] Compared with the prior art, the present invention has the following beneficial effects:

[0033] The present invention provides a distribution network drone data collection and management method, which is an efficient and accurate power grid data management method. It improves the efficiency and accuracy of data collection by using a drone inspection platform, thereby improving the quality of power grid data management. It mainly includes the following steps:

[0034] 1. Data collection. In the data collection and management methods of distribution network drones, data collection is the key first step. It includes two main methods: drone collection and data management APP collection, which collect images and data of power lines, towers, equipment, etc.; the data management APP provides a mobile collection method, allowing on-site staff to directly collect data through smart devices. This method is highly flexible and can quickly record and upload data on site, making it easy to update and supplement the data collected by drones in a timely manner;

[0035] 2. Data collection and recording are sent back to the drone inspection platform: The data collected by the drone is sent back to the drone inspection platform in real time via wireless transmission. This step is the key to timely updating and centralized management of data. The combined use of the data governance APP and the drone inspection platform can greatly improve the operation and maintenance efficiency of the power distribution network, reduce the risks and costs of manual inspections, and improve the accuracy and reliability of data.

[0036] 3. Data processing of recording results, graphic comparison, generation of data management list, and then review of data management list: On the drone inspection platform, the data sent back by the drone is processed, including data cleaning and format conversion, to ensure the availability of the data. At the same time, a static picture of the power grid is used for graphic comparison to verify the accuracy of the data. Based on the comparison results, a data management list is generated and submitted for review;

[0037] 4. Response to audit results: Based on the audit results, decide whether to return to step 4 to correct the data. If the audit fails, the data governance checklist needs to be modified and improved and submitted for audit again;

[0038] 5. If the audit result is approved, submit the data governance list: If the audit is approved, the data governance list will be formally submitted, the same-source maintenance to-do work order generation interface will be called, and the access will be called through the interface address provided by the same-source system, and the data governance task will be pushed to the corresponding maintenance system to perform specific data governance work;

[0039] Throughout the entire process, we integrate the static grid map, business middle platform, and homologous maintenance tool resources, build data governance micro-applications with the help of drone inspection platforms, and carry out data governance work in conjunction with daily line inspections to continuously improve the grid map’s topological connectivity, map-number consistency, ledger accuracy, and data integrity. Drone data collection and recording improves the efficiency and accuracy of data collection, while the review and response mechanism of the data governance list ensures the quality and availability of the data. This process can effectively improve the governance level of grid data and provide strong data support for grid operation and maintenance. BRIEF DESCRIPTION OF THE DRAWINGS

[0040] Figure 1 is a flow chart of a first embodiment of the present invention;

[0041] Figure 2 is a flow chart of a second embodiment of the present invention;

[0042] Figure 3 Recording for drone routes;

[0043] Figure 4 Collect data for data governance APP. DETAILED DESCRIPTION

[0044] The technical solutions in the embodiments of the present invention will be clearly and completely described below in conjunction with the drawings in the embodiments of the present invention. All other embodiments obtained by ordinary technicians in the field without making creative work based on the embodiments of the present invention shall fall within the scope of protection of the present invention.

[0045] like Figures 1 to 4 As shown, it shows a specific embodiment of the present invention:

[0046] As the first embodiment protected in the technical solution of the present invention, a method for collecting and managing network distribution drone data is disclosed, including the steps of:

[0047] Step 1: Data collection;

[0048] Step 2: The recording results are transmitted back to the drone inspection platform;

[0049] Step 3, the data is processed and compared with the graphics based on the collected results, a data management list is generated, and then the data management list is reviewed; in step 3, a static image of the power grid is called;

[0050] Step 4: If the audit result is negative, return to step 3;

[0051] Step 5, respond to the audit result, submit the data governance list, call the same-source maintenance to-do work order generation interface, and push the data governance list.

[0052] The data collection is carried out by drone, and the drone collection includes the following steps:

[0053] Step 1-1-1, prepare inspection tasks and issue inspection work orders;

[0054] Step 1-1-2, drone on-site inspection and data collection;

[0055] Step 1-1-3, the drone inspection results are transmitted back to the drone inspection platform.

[0056] In step 5, the data management list is pushed to the homologous maintenance tool. After receiving the data management list, the homologous maintenance tool automatically generates a to-do work order, creates a change task, completes the ledger and graphic management, updates the power grid map, and closes the work order.

[0057] After the drone completes data collection in step 1-1-2, the records, coordinates, and photos of the collection equipment are received and sorted, and a layout of the collection route is automatically generated.

[0058] The graphic comparison in step 3 is performed by the following steps:

[0059] Step 3-1, traverse the pole tower equipment under the line in turn according to the recorded line, and use the pole number of the recorded pole tower and the full name of the same source pole tower for fuzzy matching. If there are multiple matches, the first one is taken as the matching pole tower by default;

[0060] Step 3-2, if they match, compare the coordinates of the recorded tower and the matched homologous tower. If the straight-line distance exceeds the deviation distance, mark the recorded tower and the homologous tower as "coordinate management";

[0061] Step 3-3, after all towers under the recording line are traversed, the recording towers that are not matched are marked as "changed and added";

[0062] Step 3-4: After all towers under the recording line are traversed, the corresponding homologous towers that are not matched under the homologous branch line are marked as "changed and deleted".

[0063] In step 3, a static map of the power grid is called, and the topological map and ledger data of the collected lines are displayed based on the static map of the power grid. The devices that are different from the static map of the power grid are compared through device names and tower coordinates, and a corresponding data management list is generated.

[0064] The drone uses Beidou positioning and RTK modules to record the precise coordinates of power towers and pole-mounted equipment, and complete visible light photography of different parts and angles of the equipment.

[0065] like Figure 1 and Figure 3This technical solution discloses the use of drone patrol operations to carry out data collection and recording work, establishes distribution network drone data collection and recording standards, improves data collection efficiency, and combines daily manual patrol operations to carry out data management work for 10kV overhead lines where the airspace environment does not allow drone patrol operations, as well as 10kV cables, distribution stations, and low-voltage line equipment with a voltage level of 0.4kV and below. Supports the preparation, distribution, and issuance of work orders for drone data management and collection and recording tasks for 10kV overhead lines in the distribution network. After the drone completes the collection and recording operation, it can receive and organize the records, coordinates, and photos of the collection and recording equipment, and automatically generate a layout of the collection and recording line, laying the foundation for subsequent data management work.

[0066] Among them, step 3 is the core link in the distribution network drone data collection and management method, which involves data processing, graphic comparison, and the generation and review of data management lists. After the homologous maintenance tool completes the reception of the data management list, it automatically generates a to-do work order. If the only change in the tower equipment coordinates of the line to be managed is the change, there is no need to manually initiate the homologous maintenance change process for equipment maintenance. The homologous maintenance can automatically complete the update of the tower coordinates and the grid map. If there are new or deleted (retired) equipment, in the homologous maintenance tool change process equipment maintenance link, the owner of the equipment data calls the drone inspection platform data management micro-application based on a picture to collect and record the line change comparison map, providing on-site physical ledgers and graphic topology references for equipment maintenance.

[0067] Traverse the pole tower equipment under the line in sequence according to the recorded line. In this sub-step, the system will traverse each pole tower equipment in the order of the line according to the data recorded by the drone or data management APP. This process is automated and relies on the system's built-in logic to process each device in sequence; Fuzzy matching of pole numbers and full names of homologous pole towers For each recorded pole tower, the system will use a fuzzy matching algorithm to compare its pole number with the full name of the homologous pole tower stored in a static map of the power grid. Fuzzy matching is to take into account possible errors or inconsistencies during data entry and improve the flexibility and accuracy of matching; coordinate comparison after successful matching If the pole tower equipment finds the corresponding homologous pole tower in the fuzzy matching, the system will automatically extract the coordinate data of the two for comparison. This step is to verify whether the location information of the pole tower equipment is accurate and whether there is a coordinate offset caused by changes in the geographical environment; to determine whether coordinate management is required During the comparison process, if the straight-line distance between the recorded pole tower and the homologous pole tower exceeds the preset deviation distance, the system will mark both towers as "coordinate management". This means that their physical locations are significantly different from the locations recorded in a static map of the power grid, and on-site verification or coordinate correction is required; Marking changes and deletions After traversing and matching all recorded towers, the system will summarize and analyze the results; For recorded towers that do not find a match in the same source tower, the system marks them as "changes and additions", which may mean that new equipment has been added to the power grid, or the corresponding records are missing in the data management database. For homologous towers that do not match under the same source branch, the system marks them as "changes and deletions". This may mean that some equipment has been removed from the power grid, or the data of these equipment needs to be deleted from the database. Generate a data governance list Based on the above matching and comparison results, the system will generate a detailed data governance list, listing all tower equipment that needs to be managed, including equipment that needs coordinate management, equipment that has been added and deleted, and data governance list review Finally, the data governance list needs to be reviewed by professionals to ensure that all markings and suggestions are accurate and reasonable. During the review process, it may be necessary to adjust and supplement the list based on the actual situation on site.

[0068] This step is a key link in ensuring data accuracy and precision of power grid asset management. By combining automated data processing and manual review, the efficiency and quality of data governance can be greatly improved.

[0069] After the distribution network drone inspection platform completes the review of the data management list, the homologous maintenance tool adds a receiving interface for the data management ledger and coordinates to enable the drone inspection platform to push the data management list of changed equipment to the homologous maintenance tool.

[0070] The integration of the drone inspection platform and the power grid one map and homologous maintenance tools supports the compilation, distribution and issuance of work orders for drone data management and recording tasks for 10kV overhead lines in the distribution network. After the drone completes the recording operation, it can receive and organize the records, coordinates, and photos of the recording equipment, and automatically generate a layout map along the recording line, laying the foundation for subsequent data management work.

[0071] Throughout the entire process, we integrate the static grid map, business middle platform, and homologous maintenance tool resources, build data governance micro-applications with the help of drone inspection platforms, and carry out data governance work in conjunction with daily line inspections to continuously improve the grid map’s topological connectivity, map-number consistency, ledger accuracy, and data integrity. Drone data collection and recording improves the efficiency and accuracy of data collection, while the review and response mechanism of the data governance list ensures the quality and availability of the data. This process can effectively improve the governance level of grid data and provide strong data support for grid operation and maintenance.

[0072] As the second embodiment protected in the technical solution of the present invention, the drone inspection platform data management micro-application is also required to support the uploading of data management APP recording tasks, as well as the reception of data management APP recording results, and automatically generate the recording line layout, distribution network drone data recording and management method, including the steps of:

[0073] Step 1: Data collection;

[0074] Step 2: The recording results are transmitted back to the drone inspection platform;

[0075] Step 3, the data is processed and compared with the graphics based on the collected results, a data management list is generated, and then the data management list is reviewed; in step 3, a static image of the power grid is called;

[0076] Step 4: If the audit result is negative, return to step 3;

[0077] Step 5, respond to the audit result, submit the data governance list, call the same-source maintenance to-do work order generation interface, and push the data governance list.

[0078] The data collection and recording of the data governance APP includes the following steps:

[0079] Step 1-2-1, call the business middle platform to obtain the line equipment ledger and graphic topology data, and create data governance tasks by line on the mobile terminal;

[0080] Step 1-2-2, initialization of mobile terminal ledger and graphic data;

[0081] Step 1-2-3: On-site verification, coordinate collection and equipment re-recording, and the recording results are sent back to the drone inspection platform.

[0082] In step 5, the data management list is pushed to the homologous maintenance tool. After receiving the data management list, the homologous maintenance tool automatically generates a to-do work order, creates a change task, completes the ledger and graphic management, updates the power grid map, and closes the work order.

[0083] The graphic comparison in step 3 is performed by the following steps:

[0084] Step 3-1, traverse the pole tower equipment under the line in turn according to the recorded line, and use the pole number of the recorded pole tower and the full name of the same source pole tower for fuzzy matching. If there are multiple matches, the first one is taken as the matching pole tower by default;

[0085] Step 3-2, if they match, compare the coordinates of the recorded tower and the matched homologous tower. If the straight-line distance exceeds the deviation distance, mark the recorded tower and the homologous tower as "coordinate management";

[0086] Step 3-3, after all towers under the recording line are traversed, the recording towers that are not matched are marked as "changed and added";

[0087] Step 3-4: After all towers under the recording line are traversed, the corresponding homologous towers that are not matched under the homologous branch line are marked as "changed and deleted".

[0088] In step 3, a static map of the power grid is called, and the topological map and ledger data of the collected lines are displayed based on the static map of the power grid. The devices that are different from the static map of the power grid are compared through device names and tower coordinates, and a corresponding data management list is generated.

[0089] The data management APP quickly collects and manages the coordinates, photos, and barcode information of the distribution network's 10kV cables, distribution station buildings, and 0.4kV and below low-voltage line equipment. It first obtains the ledger and graphic topology data of the lines to be managed from the business middle station, and restores the line layout on the high-definition map. When conducting inspection operations, for equipment that does not correspond to the actual on-site data and the static grid map data, the data management APP is used to record the equipment's coordinates, ledgers, barcodes, and photo information. The newly recorded or changed equipment is displayed in real time on the mobile map, and is connected according to the graphic topology relationship to restore the distribution network grid structure.

[0090] In the collection areas where the mobile signal is poor, the collection mobile phone used by the data management APP is equipped with a Beidou positioning module.

[0091] like Figure 2 and Figure 4The data management APP in the display realizes the rapid collection and management of the coordinates, photos and barcode information of the distribution network 10kV cables, distribution station buildings, and 0.4kV and below low-voltage line equipment. Before the data management work is carried out, the ledger and graphic topology data of the lines to be managed are obtained from the business middle platform, and the line layout is restored and displayed on the high-definition map. When the team members carry out inspection work, for equipment that does not correspond to the actual objects on the site and the data on a map, the data management APP is used to record the equipment coordinates, ledgers, barcodes, photos and other information. The newly recorded or changed equipment is displayed in real time on the mobile map, and connected according to the graphic topology relationship to truly restore the distribution network grid structure.

[0092] During the data collection process of the data management APP, the collected data can be promptly transmitted back to the main station of the drone inspection platform, and the data management micro-application will display the results based on a map of the power grid. For collection areas with poor mobile signals, the collection mobile phone can be equipped with a Beidou positioning module to improve the accuracy of equipment coordinate collection.

[0093] The preferred embodiments of the present invention are described in detail above in conjunction with the accompanying drawings, but the present invention is not limited to the above embodiments. Various changes can be made within the knowledge scope of ordinary technicians in the field without departing from the purpose of the present invention. These changes involve related technologies well known to those skilled in the art, which all fall within the scope of protection of the patent of the present invention.

[0094] Many other changes and modifications may be made without departing from the concept and scope of the present invention.It should be understood that the present invention is not limited to the specific embodiments, and the scope of the present invention is defined by the appended claims.

Claims

1. A method for collecting and managing network drone data, characterized in that: Includes steps: Step 1: Data collection; the data collection includes drone collection and data management APP collection; Step 2: The recording results are transmitted back to the drone inspection platform; Step 3, the data is processed and compared with the graphics based on the collected results, a data management list is generated, and then the data management list is reviewed; in step 3, a static image of the power grid is called; Step 4: If the audit result is negative, return to step 3; Step 5, respond to the audit result, submit the data governance list, call the same-source maintenance to-do work order generation interface, and push the data governance list.

2. The distribution network drone data collection and management method according to claim 1 is characterized in that: The drone recording includes the following steps: Step 1-1-1, prepare inspection tasks and issue inspection work orders; Step 1-1-2, drone on-site inspection and data collection; Step 1-1-3, the drone inspection results are transmitted back to the drone inspection platform.

3. The distribution network drone data collection and management method according to claim 1 is characterized in that: The data collection and recording of the data governance APP includes the following steps: Step 1-2-1, call the business middle platform to obtain the line equipment ledger and graphic topology data, and create data governance tasks by line on the mobile terminal; Step 1-2-2, initialization of mobile terminal ledger and graphic data; Step 1-2-3: On-site verification, coordinate collection and equipment re-recording, and the recording results are sent back to the drone inspection platform.

4. The distribution network drone data collection and management method according to claim 2 or 3 is characterized in that: In step 5, the data management list is pushed to the homologous maintenance tool. After receiving the data management list, the homologous maintenance tool automatically generates a to-do work order, creates a change task, completes the ledger and graphic management, updates the power grid map, and closes the work order.

5. The distribution network drone data collection and management method according to claim 4 is characterized in that: After the drone completes data collection in step 1-1-2, the records, coordinates, and photos of the collection equipment are received and sorted, and a layout of the collection route is automatically generated.

6. The distribution network drone data collection and management method according to claim 5 is characterized in that: The graphic comparison in step 3 is performed by the following steps: Step 3-1, traverse the pole tower equipment under the line in turn according to the recorded line, and use the pole number of the recorded pole tower and the full name of the same source pole tower for fuzzy matching. If there are multiple matches, the first one is taken as the matching pole tower by default; Step 3-2, if they match, compare the coordinates of the recorded tower and the matched homologous tower. If the straight-line distance exceeds the deviation distance, mark the recorded tower and the homologous tower as "coordinate management"; Step 3-3, after all towers under the recording line are traversed, the recording towers that are not matched are marked as "changed and added"; Step 3-4: After all towers under the recording line are traversed, the corresponding homologous towers that are not matched under the homologous branch line are marked as "changed and deleted".

7. The distribution network drone data collection and management method according to claim 6 is characterized in that: In step 3, a static map of the power grid is called, and the topological map and ledger data of the collected lines are displayed based on the static map of the power grid. The devices that are different from the static map of the power grid are compared through device names and tower coordinates, and a corresponding data management list is generated.

8. The distribution network drone data collection and management method according to claim 7 is characterized in that: The drone uses Beidou positioning and RTK modules to record the precise coordinates of power towers and pole-mounted equipment, and complete visible light photography of different parts and angles of the equipment.

9. The distribution network drone data collection and management method according to claim 6 is characterized in that: The data management APP quickly collects and manages the coordinates, photos, and barcode information of the distribution network's 10kV cables, distribution station buildings, and 0.4kV and below low-voltage line equipment. It first obtains the ledger and graphic topology data of the lines to be managed from the business middle station, and restores the line layout on the high-definition map. When conducting inspection operations, for equipment that does not correspond to the actual on-site data and the static grid map data, the data management APP is used to record the equipment's coordinates, ledgers, barcodes, and photo information. The newly recorded or changed equipment is displayed in real time on the mobile map, and is connected according to the graphic topology relationship to restore the distribution network grid structure.

10. The distribution network drone data collection and management method according to claim 9 is characterized in that: In the collection areas where the mobile signal is poor, the collection mobile phone used by the data management APP is equipped with a Beidou positioning module.

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