Power grid line inspection methods, devices, modules, storage media, and maintenance stations

Abstract

This application provides a method, apparatus, module, storage medium, and maintenance station for power grid line inspection. The method includes: acquiring power grid line information for a power grid area to be inspected; dividing the power grid area to be inspected based on the power grid line information to obtain at least one segment to be inspected; wherein each segment to be inspected includes at least one sub-segment to be inspected; determining an inspection plan for each drone based on the inspection task information and inspection frequency information of each sub-segment; and controlling each drone to perform power grid line inspection operations according to each inspection plan. This method improves the efficiency and safety of power grid line inspection and maintenance.

Description

Technical Field

[0001] This application relates to the field of power grid inspection technology, and in particular to a power grid line inspection method, device, module, storage medium and maintenance station. Background Technology

[0002] As the scale of the power system continues to expand, in order to ensure the continuous, safe and reliable transmission of electricity through power grid lines, power grid operation and management departments need to conduct regular inspections of power grid lines.

[0003] In the existing technology, inspection personnel carry inspection tools to inspect the power grid lines in the area to be inspected.

[0004] However, the above methods, which involve manual inspection, not only reduce the efficiency of power grid line inspection but also pose personnel safety issues. Summary of the Invention

[0005] This application provides a method, device, module, storage medium, and maintenance station for power grid line inspection, which can improve the inspection efficiency and safety of power grid lines.

[0006] In a first aspect, embodiments of this application provide a method for inspecting power grid lines, the method being applied to a control module in an operation and maintenance station; the operation and maintenance station further includes at least one unmanned aerial vehicle (UAV); the method includes:

[0007] Obtain power grid line information for the power grid area to be inspected; wherein, the power grid line information represents the actual situation of the power grid lines in the power grid area to be inspected;

[0008] Based on the power grid line information, the power grid area to be inspected is divided into at least one segment to be inspected; wherein, the segment to be inspected includes at least one partition to be inspected; the partition to be inspected has inspection task information and inspection frequency information.

[0009] Based on the inspection task information and inspection frequency information of each of the aforementioned inspection zones, determine the inspection plan for each of the aforementioned UAVs;

[0010] According to the inspection plans described above, control the drones described above to carry out power grid line inspection operations.

[0011] In one possible implementation, the power grid area to be inspected is divided according to the power grid line information to obtain at least one segment to be inspected, including:

[0012] Based on the line laying length in the power grid line information, the power grid area to be inspected is segmented and divided into sections to obtain each section to be inspected.

[0013] Based on the historical fault data of the area to be inspected, determine the inspection task information and inspection frequency information of the area to be inspected.

[0014] In one possible implementation, the power grid area to be inspected is segmented and partitioned according to the line laying length in the power grid line information to obtain each of the partitions to be inspected, including:

[0015] Based on the length of the power line and the map data of the power grid area to be inspected, the power grid area to be inspected is segmented and partitioned to obtain each of the partitions to be inspected; wherein, the map data includes the geographical features of the location of the power grid area to be inspected.

[0016] In one possible implementation, the inspection task information and inspection frequency information of the area to be inspected are determined based on the historical fault data of the area to be inspected, including:

[0017] Based on the historical fault data of the section to be inspected, the fault rate of the section to be inspected is determined; wherein, the fault rate represents the occurrence of faults in the section to be inspected.

[0018] Based on the failure rate and line grade information of the section to be inspected, the inspection task information and inspection frequency information of the section to be inspected are determined; wherein, the line grade information represents the importance of the power grid lines of the section to be inspected.

[0019] In one possible implementation, the maintenance station further includes a communication module; according to each of the inspection plans, it controls each of the drones to perform power grid line inspection operations, including:

[0020] According to the inspection plan, the corresponding indication information for the UAV is generated; wherein, the indication information includes the inspection plan and the power grid line fault signal indication of the area to be inspected corresponding to the inspection plan;

[0021] The instruction information is sent to the corresponding UAV via the communication module; wherein the UAV is used to collect inspection data of the indicated inspection area; the inspection data represents the inspection status of the power grid lines in the inspection area.

[0022] The inspection data transmitted by the UAV is received through the communication module.

[0023] In one possible implementation, the maintenance station further includes a cloud server; the method further includes:

[0024] The inspection fault data and inspection site data in the inspection data are sent to the cloud server through the communication module; wherein, the inspection fault data represents the line defects and equipment failures of the area to be inspected; the inspection site data includes line image data and environmental data of the area to be inspected; the cloud server is used to process the inspection data and generate an inspection report.

[0025] In one possible implementation, the maintenance station further includes a charging station; the method further includes:

[0026] The communication module is used to collect the battery level of the drone;

[0027] If it is determined that the drone's battery level is lower than the preset level, the communication module controls the drone to return to the charging station for charging.

[0028] Secondly, embodiments of this application provide a drone inspection device for power grid lines, the device being applied to a control module in an operation and maintenance station; the operation and maintenance station further includes at least one drone; the device includes:

[0029] The acquisition module is used to acquire power grid line information of the power grid area to be inspected; wherein, the power grid line information represents the actual situation of the power grid lines in the power grid area to be inspected;

[0030] The segmentation module is used to segment the power grid area to be inspected according to the power grid line information to obtain at least one segment to be inspected; wherein, the segment to be inspected includes at least one partition to be inspected; the partition to be inspected has inspection task information and inspection frequency information.

[0031] The determination module is used to determine the inspection plan for each UAV based on the inspection task information and inspection frequency information of each of the inspection zones to be inspected.

[0032] The inspection module is used to control the drones to perform power grid line inspection operations according to the inspection plans.

[0033] In one possible implementation, the segmentation module is specifically used to: segment and partition the power grid area to be inspected according to the line laying length in the power grid line information to obtain each of the partitions to be inspected; and determine the inspection task information and inspection frequency information of the partitions to be inspected according to the historical fault data of the partitions to be inspected.

[0034] In one possible implementation, the segmentation module is specifically used to: segment and partition the power grid area to be inspected according to the line laying length and the map data of the power grid area to be inspected, to obtain each of the inspection partitions; wherein, the map data includes the geographical features of the location of the power grid area to be inspected.

[0035] In one possible implementation, the partitioning module is further specifically used for: determining the failure rate of the partition to be inspected based on historical fault data of the partition to be inspected; wherein the failure rate represents the occurrence of faults in the partition to be inspected; and determining the inspection task information and inspection frequency information of the partition to be inspected based on the failure rate and line level information of the partition to be inspected; wherein the line level information represents the importance of the power grid lines in the partition to be inspected.

[0036] In one possible implementation, the maintenance station further includes a communication module; the inspection module is specifically used for: generating indication information corresponding to the UAV according to the inspection plan; wherein the indication information includes the inspection plan and the power grid line fault signal indication of the section to be inspected corresponding to the inspection plan; sending the indication information to the UAV corresponding to the indication information through the communication module; wherein the UAV is used to collect inspection data of the indicated section to be inspected; the inspection data characterizes the inspection status of the power grid lines in the section to be inspected; and receiving the inspection data transmitted by the UAV through the communication module.

[0037] In one possible implementation, the maintenance station further includes a cloud server; the inspection module is specifically used to: send inspection fault data and inspection site data from the inspection data to the cloud server through the communication module; wherein, the inspection fault data represents line defects and equipment failures in the area to be inspected; the inspection site data includes line image data and environmental data of the area to be inspected; the cloud server is used to process the inspection data and generate an inspection report.

[0038] In one possible implementation, the maintenance station further includes a charging station; the inspection module is specifically used to: collect the battery level of the drone through the communication module; if it is determined that the battery level of the drone is lower than a preset level, control the drone to return to the charging station for charging through the communication module.

[0039] Thirdly, embodiments of this application provide a control module, including: a memory and a processor;

[0040] The memory stores computer-executed instructions;

[0041] The processor executes computer execution instructions stored in the memory, causing the processor to perform the first aspect and / or various possible implementations of the first aspect as described above.

[0042] Fourthly, embodiments of this application provide an operation and maintenance station, which includes a control module and at least one drone. The control module is used to implement the first aspect and / or various possible implementations of the first aspect.

[0043] Fifthly, embodiments of this application provide a computer-readable storage medium storing computer-executable instructions, which, when executed by a processor, are used to implement the first aspect and / or various possible implementations of the first aspect.

[0044] In a sixth aspect, embodiments of this application provide a computer program product, including a computer program that, when executed by a processor, implements the first aspect and / or various possible implementations of the first aspect.

[0045] The power grid line inspection method, device, module, storage medium, and maintenance station provided in this application embodiment divide the inspection area into multiple partitions within multiple segments according to the actual situation of the power grid line. Each partition is set with different inspection tasks and inspection frequencies to generate a corresponding inspection plan. The maintenance station controls the drone in the maintenance station to carry out power grid line inspection operations according to the inspection plan, which can improve the inspection efficiency and inspection safety of power grid lines. Attached Figure Description

[0046] The accompanying drawings, which are incorporated in and form part of this specification, illustrate embodiments consistent with this application and, together with the description, serve to explain the principles of this application.

[0047] Figure 1 This application provides an illustration of an application scenario.

[0048] Figure 2 A flowchart illustrating a power grid line inspection method provided in this application embodiment;

[0049] Figure 3 A flowchart illustrating another power grid line inspection method provided in this application embodiment;

[0050] Figure 4 A software system block diagram of an integrated unmanned aerial vehicle (UAV) power grid operation and maintenance station provided in this application embodiment;

[0051] Figure 5 This is a schematic diagram of the structure of a power grid line inspection device provided in an embodiment of this application;

[0052] Figure 6This is a schematic diagram of the structure of a control module provided in an embodiment of this application;

[0053] Figure 7 This is a schematic diagram of the structure of an operation and maintenance station provided in an embodiment of this application.

[0054] The accompanying drawings have illustrated specific embodiments of this application, which will be described in more detail below. These drawings and descriptions are not intended to limit the scope of the concept in any way, but rather to illustrate the concept of this application to those skilled in the art through reference to specific embodiments. Detailed Implementation

[0055] Exemplary embodiments will now be described in detail, examples of which are illustrated in the accompanying drawings. When the following description relates to the drawings, unless otherwise indicated, the same numbers in different drawings denote the same or similar elements. The embodiments described in the following exemplary embodiments do not represent all embodiments consistent with this application. Rather, they are merely examples of apparatuses and methods consistent with some aspects of this application as detailed in the appended claims.

[0056] It should be noted that the user information (including but not limited to user device information, user personal information, etc.) and data (including but not limited to data used for analysis, data stored, data displayed, etc.) involved in this application are all information and data authorized by the user or fully authorized by all parties. Furthermore, the collection, use, processing, transmission, provision, disclosure, and application of the relevant data all comply with relevant laws, regulations, and standards, necessary confidentiality measures have been taken, they do not violate public order and good morals, and corresponding operation portals are provided for users to choose to authorize or refuse.

[0057] It should be noted that this application can be used in the field of power grid inspection technology, or in any field other than power grid inspection technology. The application field of this application is not limited.

[0058] Figure 1 This application provides an illustration of an application scenario, such as... Figure 1 As shown, the specific application scenarios of this application include: With the continuous expansion of the power system, in order to ensure the continuous, safe and reliable power transmission of the power grid lines, the power grid operation and management department needs to carry out regular inspections of the power grid lines.

[0059] Based on the above scenarios, it is clear that using manual inspection methods has technical problems such as low inspection efficiency of power grid lines and potential safety risks to personnel.

[0060] The power grid line inspection method provided in this application is based on an operation and maintenance station. According to the actual situation of the power grid line, the inspection area is divided into multiple sections and multiple partitions. Each partition is set with different inspection tasks and inspection frequencies to generate a corresponding inspection plan. The drones in the operation and maintenance station are controlled to carry out power grid line inspection operations according to the inspection plan, which solves the technical problems of low inspection efficiency and impact on personnel safety of power grid lines.

[0061] The technical solution of this application and how the technical solution of this application solves the above-mentioned technical problems are described in detail below with specific embodiments. These specific embodiments can be combined with each other, and the same or similar concepts or processes may not be described again in some embodiments. The embodiments of this application will be described below with reference to the accompanying drawings.

[0062] Figure 2 This is a flowchart illustrating a power grid line inspection method provided in an embodiment of this application, as shown below. Figure 2 As shown, the method includes:

[0063] 201. Obtain the power grid line information of the power grid area to be inspected; where the power grid line information represents the actual situation of the power grid lines in the power grid area to be inspected.

[0064] For example, the execution entity in this embodiment can be a control module in an operation and maintenance station. The operation and maintenance station also includes at least one drone, such as a high-performance small drone with high-precision navigation and obstacle avoidance functions, to perform power grid line inspection work. The control module can obtain the actual situation of the power grid lines in the power grid area to be inspected from a local or remote database, that is, obtain the power grid line information of the power grid area to be inspected, such as the density and complexity of the power grid lines, for processing.

[0065] 202. Based on the power grid line information, the power grid area to be inspected is divided into at least one segment to be inspected; wherein, the segment to be inspected includes at least one sub-segment to be inspected; the sub-segment to be inspected has inspection task information and inspection frequency information.

[0066] For example, the control module divides the power grid area to be inspected according to the power grid line information and a preset division rule to obtain at least one segment to be inspected; then it divides each segment to be inspected to obtain at least one partition to be inspected; and determines the inspection task information and inspection frequency information of each partition to be inspected according to the power grid line information.

[0067] For example, the power grid area to be inspected is first divided into a predetermined number of segments. Based on the power grid line information, the density and complexity of the power grid lines in each segment are determined. Then, each segment can be further divided into a predetermined number of inspection zones. The higher the density and complexity of the power grid lines, the more inspection zones will be generated. Combining the power grid line density and complexity of each inspection zone with those susceptible to extreme weather conditions, focused inspections are conducted under special weather conditions, generating corresponding inspection task information and inspection frequency information.

[0068] 203. Based on the inspection task information and inspection frequency information of each inspection zone, determine the inspection plan for each UAV.

[0069] For example, the control module analyzes and processes the inspection task information and inspection frequency information of all the areas to be inspected. For instance, it can use an artificial intelligence model for model processing and combine it with the number of all drones to obtain the inspection plan for each drone.

[0070] For example, based on artificial intelligence models, inspection task information and frequency information for all areas to be inspected, as well as information such as the number of drones and the inspection capabilities of each drone, can be processed to obtain an inspection plan for each drone. For instance, drones with higher inspection capabilities will have a higher number of inspections or a longer inspection route in their corresponding inspection plans. The maintenance station can be installed on power line poles or on the walls of specific buildings to ensure convenient takeoff and landing for the drones. The maintenance station also has waterproof, dustproof, and lightning protection features to adapt to various harsh environments.

[0071] 204. Control each drone to carry out power grid line inspection operations according to each inspection plan.

[0072] For example, the control module can package the inspection plan corresponding to each UAV, such as packaging it into a message or corresponding control command, and send it to each corresponding UAV, so that the UAV can start to carry out power grid line inspection work according to the inspection plan.

[0073] This embodiment provides a method for inspecting power grid lines. The maintenance station divides the inspection area into multiple partitions within multiple segments based on the actual condition of the power grid lines. Each partition is configured with different inspection tasks and frequencies to generate a corresponding inspection plan. The maintenance station then controls drones in the maintenance station to perform power grid line inspection operations according to the inspection plan. This method can improve the efficiency and safety of power grid line inspections.

[0074] Figure 3A flowchart illustrating another power grid line inspection method provided in this application embodiment is shown below. Figure 3 As shown, the method includes:

[0075] 301. Obtain the power grid line information of the power grid area to be inspected; wherein, the power grid line information represents the actual situation of the power grid lines in the power grid area to be inspected.

[0076] For example, this step can be referred to as step 201, which will not be repeated here.

[0077] 302. Based on the line laying length in the power grid line information, the power grid area to be inspected is divided into sections and zones to obtain each zone to be inspected.

[0078] For example, the control module first extracts the line laying length of the power grid area to be inspected based on the power grid line information of the power grid area to be inspected, and then divides the power grid area to be inspected into a preset number of inspection segments based on the line laying length, with each inspection segment having an equal line laying length; based on the line laying length corresponding to each inspection segment, each inspection segment can be equally divided into a preset number of inspection zones.

[0079] In one example, step 302 includes: dividing the power grid area to be inspected into segments and partitions based on the line laying length and map data of the power grid area to be inspected, to obtain each partition to be inspected; wherein the map data includes the geographical features of the location of the power grid area to be inspected.

[0080] For example, the control module first extracts the line laying length and map data of the power grid area to be inspected based on the power grid line information of the power grid area to be inspected. The map data includes the geographical features of the location of the power grid area to be inspected, such as mountainous areas, plains and other landform features. Then, based on the line laying length and map data, the power grid area to be inspected can be divided into a preset number of inspection segments. Then, combining the line laying length and geographical features of the location of each inspection segment, each inspection segment is divided to obtain a preset number of inspection zones.

[0081] For example, after dividing the line into a preset number of sections to be inspected, the number of inspection zones is determined based on the length of the line and the geographical features of the location within each section to be inspected. Based on the number of inspection zones, each section to be inspected is divided to obtain the corresponding number of inspection zones.

[0082] 303. Based on the historical fault data of the area to be inspected, determine the inspection task information and inspection frequency information of the area to be inspected.

[0083] For example, based on the control module, historical fault data for each partition to be inspected can be obtained from a local or remote database, including historical fault records, historical fault counts, and historical fault routes for each partition to be inspected. Based on a preset analysis method, such as a trained artificial intelligence model, the historical fault data for each partition to be inspected is processed to determine the inspection task information and inspection frequency information for each partition to be inspected, including the inspection importance, inspection time, inspection route, and inspection count for each partition to be inspected. For example, the inspection frequency and intensity can be increased based on historical maintenance records and fault occurrence frequency.

[0084] In one example, step 303 includes the following steps:

[0085] The first step of step 303 is to determine the failure rate of the section to be inspected based on the historical failure data of the section to be inspected; whereby the failure rate represents the occurrence of failures in the section to be inspected.

[0086] The second step of step 303 is to determine the inspection task information and inspection frequency information of the section to be inspected based on the failure rate and line level information of the section to be inspected; wherein, the line level information represents the importance of the power grid lines of the section to be inspected.

[0087] For example, based on the control module, historical fault data for each section to be inspected can be obtained from a local or remote database. Using a preset analysis method, such as a trained artificial intelligence model, the historical fault data for each section to be inspected is processed to determine the fault rate of each section, thus determining the fault occurrence status of each section, such as frequent faults, infrequent faults, or no faults. Based on the control module, line level information for each section to be inspected can be obtained from a local or remote database to determine the importance of the power grid lines in each section, such as ordinary, important, or very important. Using a preset analysis method, such as a trained artificial intelligence model, the fault rate and line level information of each section to be inspected are processed to obtain inspection task information and inspection frequency information for each section, such as areas with important lines that can be prioritized for inspection.

[0088] 304. Based on the inspection task information and inspection frequency information of each inspection zone, determine the inspection plan for each UAV.

[0089] For example, this step can be referred to as step 203, which will not be repeated here.

[0090] 305. Generate indication information corresponding to the UAV based on the inspection plan; the indication information includes the inspection plan and the power grid line fault signal indication of the area to be inspected corresponding to the inspection plan.

[0091] For example, the control module determines the power grid line fault signal indication for each inspection zone, processes each inspection plan and the power grid line fault signal indication for the inspection zone corresponding to the inspection plan, and generates indication information for each UAV to instruct the UAV to perform operations according to the indication information.

[0092] 306. The instruction information is sent to the corresponding UAV through the communication module; the UAV is used to collect the inspection data of the indicated inspection area; the inspection data represents the inspection status of the power grid lines in the inspection area.

[0093] In one example, the maintenance station also includes a communication module.

[0094] For example, the maintenance station also includes a communication module that supports 4G / 5G and Wi-Fi wireless communication technologies to ensure real-time data transmission. The control module transmits the generated instruction information for each drone to the communication module, which converts this instruction information into a message conforming to its data transmission format and sends it to the corresponding drone. This allows the drone to collect inspection data for the indicated inspection area to determine the inspection status of the power grid lines within that area. Alternatively, the maintenance station may also include a data acquisition module, including a high-definition camera, infrared sensor, and temperature sensor, for collecting on-site data. By installing this module on the drone, it can autonomously complete inspection tasks based on preset line or fault signal indications. During the inspection process, the drone can automatically identify and record information such as line defects and equipment malfunctions, collecting inspection data in real time through the data acquisition module.

[0095] In one example, the maintenance station also includes a charging station; step 306 further includes:

[0096] The first step is to collect the drone's battery level via the communication module.

[0097] The second step is to control the drone to return to the charging station for charging if it is determined that the drone's battery level is lower than the preset level.

[0098] For example, the maintenance station also includes a charging station, which can be installed inside the maintenance station and has fast charging capabilities, supporting simultaneous charging of multiple drones. The control module can collect the battery level of each drone in real time via the communication module. When the drone's battery level falls below a preset threshold, the control module of the maintenance station, through the communication module, controls the drone to return to the charging station for charging. For example, it can send a return-to-home charging command to the corresponding drone via the communication module, instructing it to return to the charging station for charging. The charging station's fast charging capability ensures that the drones can quickly return to operational status, improving inspection efficiency.

[0099] 307. The inspection data transmitted by the UAV is received through the communication module.

[0100] For example, after the drone collects inspection data, including data on the condition of the lines at the inspection site, it transmits the data to the communication module, which then transmits the received inspection data to the control module for processing.

[0101] 308. Through the communication module, the inspection fault data and inspection site data in the inspection data are sent to the cloud server; among them, the inspection fault data represents the line defects and equipment failures of the area to be inspected; the inspection site data includes the line image data and environmental data of the area to be inspected; the cloud server is used to process the inspection data and generate an inspection report.

[0102] For example, Figure 4 A software system block diagram of an integrated unmanned aerial vehicle (UAV) power grid operation and maintenance station provided in this application embodiment is shown below. Figure 4 As shown, the software system includes an inspection task management module and a fault diagnosis and early warning module deployed on the control module, as well as a data processing and analysis module deployed on a cloud server. Based on the inspection task management module in the control module, it can automatically control drones to perform inspection tasks according to a preset inspection plan, receive inspection data collected by the drones, process the received inspection data to obtain inspection fault data including line defects and equipment failures, and inspection site data including images, videos, temperature, and humidity. This inspection fault data and inspection site data are then sent to the cloud server via the communication module. After receiving the inspection fault data and inspection site data, the cloud server analyzes and processes the inspection fault data and inspection site data based on preset analysis methods in the data processing and analysis module on the cloud server, generating an inspection report to provide data support for power grid operation and maintenance. The fault diagnosis and early warning module enables the maintenance station to automatically identify and diagnose line defects and equipment failures based on the collected data and issue early warning information.

[0103] In this embodiment, based on the above embodiments, the problems of insufficient battery life of small drones and large workload of power grid maintenance and inspection are effectively solved by using functions such as segmented and zoned professional inspection, autonomous inspection, automatic return to charging, and data uploading. This improves the efficiency and safety of power grid operation and maintenance, while reducing manual intervention and realizing intelligent power grid operation and maintenance. Furthermore, the installation positions of various hardware devices in the operation and maintenance station are flexible and highly adaptable, with broad application prospects.

[0104] Figure 5 This is a schematic diagram of the structure of a power grid line inspection device provided in an embodiment of this application, as shown below. Figure 5 As shown, the device is used in the control module of the maintenance station; the maintenance station also includes at least one drone; the device includes:

[0105] The acquisition module 401 is used to acquire power grid line information of the power grid area to be inspected; wherein, the power grid line information represents the actual situation of the power grid lines in the power grid area to be inspected.

[0106] The segmentation module 402 is used to segment the power grid area to be inspected according to the power grid line information to obtain at least one segment to be inspected; wherein, the segment to be inspected includes at least one partition to be inspected; the partition to be inspected has inspection task information and inspection frequency information.

[0107] The determination module 403 is used to determine the inspection plan for each UAV based on the inspection task information and inspection frequency information of each inspection zone.

[0108] The inspection module 404 is used to control each drone to carry out power grid line inspection operations according to each inspection plan.

[0109] In one possible implementation, the segmentation module 402 is specifically used to: segment and partition the power grid area to be inspected according to the line laying length in the power grid line information to obtain each partition to be inspected; and determine the inspection task information and inspection frequency information of the partition to be inspected according to the historical fault data of the partition to be inspected.

[0110] In one possible implementation, the segmentation module 402 is specifically used to: segment and partition the power grid area to be inspected according to the line laying length and map data of the power grid area to be inspected, to obtain each partition to be inspected; wherein, the map data includes the geographical features of the location of the power grid area to be inspected.

[0111] In one possible implementation, the partitioning module 402 is further specifically used to: determine the failure rate of the partition to be inspected based on historical fault data of the partition to be inspected; wherein the failure rate represents the occurrence of faults in the partition to be inspected; and determine the inspection task information and inspection frequency information of the partition to be inspected based on the failure rate and line level information of the partition to be inspected; wherein the line level information represents the importance of the power grid lines in the partition to be inspected.

[0112] In one possible implementation, the maintenance station also includes a communication module; the inspection module 404 is specifically used for: generating indication information corresponding to the UAV according to the inspection plan; wherein the indication information includes the inspection plan and the power grid line fault signal indication of the section to be inspected corresponding to the inspection plan; sending the indication information to the UAV corresponding to the indication information through the communication module; wherein the UAV is used to collect the inspection data of the indicated section to be inspected; the inspection data characterizes the inspection status of the power grid lines in the section to be inspected; and receiving the inspection data transmitted by the UAV through the communication module.

[0113] In one possible implementation, the maintenance station also includes a cloud server; the inspection module 404 is further specifically used to: send inspection fault data and inspection site data from the inspection data to the cloud server through the communication module; wherein, the inspection fault data represents line defects and equipment failures in the area to be inspected; the inspection site data includes line image data and environmental data of the area to be inspected; the cloud server is used to process the inspection data and generate an inspection report.

[0114] In one possible implementation, the maintenance station also includes a charging station; the inspection module 404 is specifically used to: collect the battery power of the drone through the communication module; if it is determined that the battery power of the drone is lower than the preset power, control the drone to return to the charging station for charging through the communication module.

[0115] The apparatus in this embodiment can execute the technical solutions in the above method. Its specific implementation process and technical principles are the same, and will not be repeated here.

[0116] Figure 6 This is a schematic diagram of the structure of a control module provided in an embodiment of this application, such as... Figure 6 As shown, the control module includes: a memory 501 and a processor 502; the memory 501 is used to store the instructions that can be executed by the processor 502.

[0117] The processor 502 is configured to perform the method provided in the above embodiments.

[0118] The control module also includes a receiver 503 and a transmitter 504. The receiver 503 is used to receive instructions and data sent by other devices, and the transmitter 504 is used to send instructions and data to external devices.

[0119] The specific implementation process of the processor can be found in the above method embodiments, and its implementation principle and technical effect are similar, so it will not be repeated here.

[0120] In the above embodiments, it should be understood that the processor can be a Central Processing Unit (CPU), or other general-purpose processors, digital signal processors (DSPs), application-specific integrated circuits (ASICs), etc. The general-purpose processor can be a microprocessor or any conventional processor. The steps of the method disclosed in this invention can be directly implemented by a hardware processor, or implemented by a combination of hardware and software modules within the processor.

[0121] This application also provides a chip for executing instructions, which is used to execute the technical solutions in the above embodiments.

[0122] Figure 7 This is a schematic diagram of the structure of an operation and maintenance station provided in an embodiment of this application, such as... Figure 7 As shown, this maintenance station is an integrated unmanned aerial vehicle (UAV) power grid maintenance station. Its hardware structure includes: a UAV, which is a high-performance small UAV with high-precision navigation and obstacle avoidance functions; a charging station, installed inside the maintenance station, with fast charging function, supporting multiple UAVs to charge simultaneously; a data acquisition module, including a high-definition camera, infrared sensor, temperature sensor, etc., for collecting on-site data; a communication module, supporting wireless communication technology to ensure real-time data transmission; a cloud server that can analyze and process data and generate inspection reports; and a control module, responsible for the operation control, navigation, and data processing of the UAV to execute the technical solutions in the above embodiments.

[0123] This application also provides a computer-readable storage medium storing computer-executable instructions, which, when executed on a computer, cause the computer to perform the technical solutions described above.

[0124] The aforementioned readable storage medium can be implemented by any type of volatile or non-volatile storage device or a combination thereof, such as static random access memory, electrically erasable programmable read-only memory, erasable programmable read-only memory, programmable read-only memory, read-only memory, magnetic storage, flash memory, magnetic disk, or optical disk. The readable storage medium can be any available medium accessible to a general-purpose or special-purpose computer.

[0125] An exemplary readable storage medium is coupled to a processor, enabling the processor to read information from and write information to the readable storage medium. Of course, the readable storage medium can also be a component of the processor. The processor and the readable storage medium can reside in an application-specific integrated circuit (ASIC). Alternatively, the processor and the readable storage medium can exist as discrete components in the device.

[0126] This application also provides a computer program product, which includes a computer program stored in a computer-readable storage medium. At least one processor can read the computer program from the computer-readable storage medium, and when the at least one processor executes the computer program, it can implement the technical solutions in the above embodiments.

[0127] If a function is implemented as a software functional unit and sold or used as an independent product, it can be stored in a computer-readable storage medium. Based on this understanding, the technical solution of this invention, or the part that contributes to the prior art, or a part of the technical solution, can be embodied in the form of a software product. This computer software product is stored in a storage medium and includes several instructions to cause a computer device (which may be a personal computer, server, or network device, etc.) to execute all or part of the steps of the methods of the various embodiments of this invention. The aforementioned storage medium includes various media capable of storing program code, such as USB flash drives, portable hard drives, read-only memory (ROM), random access memory (RAM), magnetic disks, or optical disks.

[0128] Those skilled in the art will understand that all or part of the steps of the above-described method embodiments can be implemented by hardware related to program instructions. The aforementioned program can be stored in a computer-readable storage medium. When executed, the program performs the steps of the above-described method embodiments; and the aforementioned storage medium includes various media capable of storing program code, such as ROM, RAM, magnetic disks, or optical disks.

[0129] Finally, it should be noted that other embodiments of the invention will readily occur to those skilled in the art upon consideration of the specification and practice of the invention disclosed herein. This invention is intended to cover any variations, uses, or adaptations of the invention that follow the general principles of the invention and include common knowledge or customary techniques in the art not disclosed herein, and is not limited to the precise structures described above and shown in the accompanying drawings, and various modifications and changes can be made without departing from its scope. The scope of the invention is limited only by the appended claims.

Claims

1. A method for inspecting power grid lines, characterized in that, The method is applied to the control module in the operation and maintenance station; The maintenance station also includes at least one drone; the method includes: Obtain power grid line information for the power grid area to be inspected; wherein, the power grid line information represents the actual situation of the power grid lines in the power grid area to be inspected; Based on the power grid line information, the power grid area to be inspected is divided to obtain at least one segment to be inspected; wherein, the segment to be inspected includes at least one partition to be inspected; the partition to be inspected has inspection task information and inspection frequency information. Based on the inspection task information and inspection frequency information of each of the aforementioned inspection zones, determine the inspection plan for each of the aforementioned UAVs; According to the inspection plans described above, control the drones described above to carry out power grid line inspection operations.

2. The method according to claim 1, characterized in that, Based on the power grid line information, the power grid area to be inspected is divided into at least one segment to be inspected, including: Based on the line laying length in the power grid line information, the power grid area to be inspected is segmented and divided into sections to obtain each section to be inspected. Based on the historical fault data of the area to be inspected, determine the inspection task information and inspection frequency information of the area to be inspected.

3. The method according to claim 2, characterized in that, Based on the line laying length in the power grid line information, the power grid area to be inspected is segmented and divided into zones to obtain each zone to be inspected, including: Based on the length of the power line and the map data of the power grid area to be inspected, the power grid area to be inspected is segmented and partitioned to obtain each of the partitions to be inspected; wherein, the map data includes the geographical features of the location of the power grid area to be inspected.

4. The method according to claim 2, characterized in that, Based on the historical fault data of the area to be inspected, determine the inspection task information and inspection frequency information of the area to be inspected, including: Based on the historical fault data of the section to be inspected, the fault rate of the section to be inspected is determined; wherein, the fault rate represents the occurrence of faults in the section to be inspected. Based on the failure rate and line grade information of the section to be inspected, the inspection task information and inspection frequency information of the section to be inspected are determined; wherein, the line grade information represents the importance of the power grid lines of the section to be inspected.

5. The method according to any one of claims 1-4, characterized in that, The maintenance station also includes a communication module; according to the respective inspection plans, it controls the respective drones to perform power grid line inspection operations, including: According to the inspection plan, the corresponding indication information for the UAV is generated; wherein, the indication information includes the inspection plan and the power grid line fault signal indication of the area to be inspected corresponding to the inspection plan; The instruction information is sent to the corresponding UAV via the communication module; wherein the UAV is used to collect inspection data of the indicated inspection area; the inspection data represents the inspection status of the power grid lines in the inspection area. The inspection data transmitted by the UAV is received through the communication module.

6. The method according to claim 5, characterized in that, The maintenance station also includes a cloud server; the method further includes: The inspection fault data and inspection site data in the inspection data are sent to the cloud server through the communication module; wherein, the inspection fault data represents the line defects and equipment failures of the area to be inspected; the inspection site data includes line image data and environmental data of the area to be inspected; the cloud server is used to process the inspection data and generate an inspection report.

7. The method according to claim 5, characterized in that, The maintenance station also includes a charging station; the method further includes: The communication module is used to collect the battery level of the drone; If it is determined that the drone's battery level is lower than the preset level, the communication module controls the drone to return to the charging station for charging.

8. A drone inspection device for power grid lines, characterized in that, The device is used in the control module of the operation and maintenance station; The maintenance station also includes at least one drone; the device includes: The acquisition module is used to acquire power grid line information of the power grid area to be inspected; wherein, the power grid line information represents the actual situation of the power grid lines in the power grid area to be inspected; The segmentation module is used to segment the power grid area to be inspected according to the power grid line information to obtain at least one segment to be inspected; wherein, the segment to be inspected includes at least one partition to be inspected; the partition to be inspected has inspection task information and inspection frequency information. The determination module is used to determine the inspection plan for each UAV based on the inspection task information and inspection frequency information of each of the inspection zones to be inspected. The inspection module is used to control the drones to perform power grid line inspection operations according to the inspection plans.

9. A control module, characterized in that, include: Memory, processor; The memory stores computer-executed instructions; The processor executes computer execution instructions stored in the memory, causing the processor to perform the method as described in any one of claims 1-7.

10. An operation and maintenance station, characterized in that, The maintenance station includes a control module and at least one drone, the control module being used to implement the method as described in any one of claims 1-7.

11. A computer-readable storage medium, characterized in that, The computer-readable storage medium stores computer-executable instructions, which, when executed by a processor, are used to implement the method as described in any one of claims 1-7.

12. A computer program product, characterized in that, Includes a computer program that, when executed by a processor, implements the method described in any one of claims 1-7.

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