A method and system for monitoring overhead line equipment based on drones

Abstract

The present invention is applicable to the technical field of electric power inspection, and provides an overhead line equipment inspection and monitoring method and system based on a drone, comprising the following steps: receiving uploaded drone inspection information, the drone inspection information including the inspection limit time and inspection points, each inspection point corresponding to an inspection item and an inspection level; receiving power equipment data based on the Internet of Things, the power equipment data including the equipment number, parameter name and parameter value; processing the power equipment data, determining abnormal data, analyzing the abnormal data to determine a number of potential abnormal cause groups, each potential abnormal cause group containing a plurality of abnormal causes; determining the abnormal causes belonging to the appearance abnormality in the potential abnormal cause group, determining the abnormal position and monitoring items; updating the drone inspection information according to the abnormal position and the monitoring items, deleting and optimizing the inspection items, so that the drone can conduct a comprehensive inspection of the monitoring items, thereby ensuring the inspection quality.

Description

Technical Field

[0001] The present invention relates to the technical field of electric power inspection, and in particular to an overhead line equipment inspection and monitoring method and system based on an unmanned aerial vehicle. Background Art

[0002] As power systems become increasingly complex and widely distributed, traditional manual inspection methods can no longer meet the needs of efficient, accurate, and real-time monitoring. At the same time, the rise of drone technology has provided a new solution for overhead line inspections. Drones have the advantages of fast speed, wide coverage, and strong flexibility. They can quickly reach the inspection area and perform high-altitude photography and inspections of overhead line equipment. However, drones have limited endurance, and drones cannot stay at each point for enough time to conduct detailed monitoring and photography, which affects the quality of inspections. Therefore, it is necessary to provide a drone-based overhead line equipment inspection and monitoring method and system to solve or alleviate the above problems. Summary of the invention

[0003] In view of the deficiencies in the prior art, the object of the present invention is to provide a method and system for patrolling and monitoring overhead line equipment based on a drone, so as to solve or alleviate the problems existing in the above-mentioned background technology.

[0004] The present invention is implemented as follows: a method for inspecting and monitoring overhead line equipment based on a drone, the method comprising the following steps:

[0005] Receive drone inspection information uploaded by users, the drone inspection information includes inspection limit time and inspection points, and each inspection point corresponds to an inspection item and inspection level;

[0006] Receive power equipment data based on the Internet of Things, where the power equipment data includes equipment number, parameter name and parameter value;

[0007] Processing the power equipment data to determine abnormal data, analyzing the abnormal data to determine a number of potential abnormal cause groups, each potential abnormal cause group containing a plurality of abnormal causes, one of the plurality of abnormal causes causing the corresponding abnormal data;

[0008] Determine the abnormal cause of the appearance abnormality in the potential abnormal cause group, determine the abnormal location and monitoring items;

[0009] Update drone inspection information based on abnormal locations and monitoring items, and delete and optimize inspection items;

[0010] Receive the abnormal position image uploaded by the drone, judge the abnormal position image, and when it is determined that the abnormal position image is abnormal, perform a second update on the drone inspection information.

[0011] As a further solution of the present invention: the step of analyzing the abnormal data to determine the potential abnormal cause group specifically includes:

[0012] Extracting characteristic information of abnormal data, wherein the characteristic information includes parameter name, abnormal amplitude, change trend and device number;

[0013] The characteristic information is input into a knowledge base of abnormal causes of electric power equipment, and a plurality of matching abnormal causes are output, wherein the plurality of abnormal causes constitute a potential abnormal cause group.

[0014] As a further solution of the present invention: the step of updating the drone inspection information according to the abnormal location and monitoring items and deleting and optimizing the inspection items specifically includes:

[0015] All inspection points and abnormal locations are sorted based on the inspection level, and the abnormal location is the highest level by default;

[0016] Retrieve the inspection duration corresponding to each inspection item and monitoring item, and retrieve the flight speed of the drone;

[0017] The drone inspection information is updated according to the inspection limit time, the inspection time corresponding to each inspection item and monitoring item, and the drone flight speed, and some inspection items are deleted and optimized.

[0018] As a further solution of the present invention: the step of updating the drone inspection information according to the inspection limit time, the inspection time corresponding to each inspection item and monitoring item, and the drone flight speed specifically includes:

[0019] Determine the inspection route based on the abnormal locations of all monitoring items, and determine the total inspection time based on the inspection route, the inspection time of each monitoring item, and the flight speed of the drone;

[0020] Determine the residual duration based on the total inspection duration and the inspection limit duration, add an inspection point to the inspection path according to the order, update the drone inspection information, and recalculate the total inspection duration;

[0021] Repeat the previous step until the total inspection time is greater than the inspection limit time, and the last updated drone inspection information is the output result.

[0022] As a further solution of the present invention: the step of performing a secondary update on the drone inspection information specifically includes:

[0023] Retrieving the abnormal position and monitoring items corresponding to the abnormal position image, and determining the corresponding potential abnormal cause group;

[0024] Retrieving all monitoring items determined by the potential abnormality cause group, and when the monitoring items have not been inspected, deleting the monitoring items from the drone inspection information, and updating the drone inspection information;

[0025] The updated total inspection time is calculated to obtain the remaining total time, and the drone inspection information is updated again based on the remaining total time.

[0026] As a further solution of the present invention: the step of performing a secondary update on the drone inspection information based on the remaining total time specifically includes:

[0027] Determine the remaining inspection path according to the current position of the drone, filter the inspection points that have not been included in the drone inspection information according to the remaining inspection path, and sort the filtered inspection points according to the inspection level;

[0028] According to the order, add an inspection point to the remaining inspection path, update the remaining inspection path and drone inspection information, and obtain the remaining inspection time;

[0029] Repeat the previous step until the remaining inspection time is greater than the remaining total time, and the last updated drone inspection information is the output result.

[0030] Another object of the present invention is to provide an overhead line equipment inspection and monitoring system based on a drone, the system comprising:

[0031] The inspection information uploading module is used to receive the drone inspection information uploaded by the user. The drone inspection information includes the inspection limit time and inspection points. Each inspection point corresponds to an inspection item and inspection level.

[0032] An electric equipment data module, used to receive electric equipment data based on the Internet of Things, wherein the electric equipment data includes equipment number, parameter name and parameter value;

[0033] The potential abnormality cause group module is used to process the power equipment data, determine the abnormal data, analyze the abnormal data to determine several potential abnormality cause groups, and each potential abnormality cause group contains multiple abnormal causes;

[0034] The abnormal monitoring project module is used to determine the abnormal cause of the appearance abnormality in the potential abnormal cause group, determine the abnormal location and monitoring items;

[0035] The inspection update module is used to update the drone inspection information according to the abnormal location and monitoring items, and to delete and optimize the inspection items;

[0036] The inspection secondary update module is used to receive the abnormal position images uploaded by the drone, judge the abnormal position images, and when it is determined that the abnormal position images are abnormal, the drone inspection information is updated for the second time.

[0037] As a further solution of the present invention: the inspection and update module includes:

[0038] A point position sorting unit is used to sort all inspection points and abnormal positions based on the inspection level, and the abnormal position is the highest level by default;

[0039] An information retrieval unit is used to retrieve the inspection duration corresponding to each inspection item and monitoring item, and retrieve the flight speed of the drone;

[0040] The inspection item optimization unit is used to update the drone inspection information according to the inspection limit time, the inspection time corresponding to each inspection item and monitoring item, and the drone flight speed. Some inspection items are deleted and optimized.

[0041] As a further solution of the present invention: the inspection item optimization unit includes:

[0042] The total inspection duration subunit is used to determine the inspection path according to the abnormal locations of all monitoring items, and to determine the total inspection duration according to the inspection path, the inspection duration of each monitoring item, and the flight speed of the drone;

[0043] The inspection point adding subunit is used to determine the residual value duration according to the total inspection duration and the inspection limit duration, add an inspection point to the inspection path according to the sorting, update the drone inspection information, and recalculate the total inspection duration;

[0044] The inspection information determination subunit is used to repeatedly execute the steps in the inspection point addition subunit until the total inspection time is greater than the inspection limit time, and the last updated drone inspection information is the output result.

[0045] As a further solution of the present invention: the inspection secondary update module includes:

[0046] A corresponding information determination unit, used to retrieve the abnormal position and monitoring items corresponding to the abnormal position image, and determine the corresponding potential abnormal cause group;

[0047] A monitoring item deletion unit, used to retrieve all monitoring items determined by the potential abnormality cause group, and when the monitoring items have not been inspected, delete the monitoring items from the drone inspection information, and update the drone inspection information;

[0048] The inspection secondary update unit is used to calculate the updated total inspection time, obtain the remaining total time, and perform secondary update on the drone inspection information based on the remaining total time.

[0049] Compared with the prior art, the present invention has the following beneficial effects:

[0050] The present invention will determine the potential abnormal cause group, and determine the abnormal cause of the appearance abnormality in the potential abnormal cause group, update the drone inspection information according to the abnormal position and monitoring items, delete and optimize the inspection items, so that the drone can conduct a full-scale inspection of the monitoring items, and ensure the inspection quality. In addition, the abnormal position image will be judged. When it is determined that the abnormal position image is abnormal, the drone inspection information will be updated for the second time. Within the range of the drone's endurance, some inspection items will be supplemented for monitoring, which will have a better effect and ensure the inspection quality within the endurance as much as possible. BRIEF DESCRIPTION OF THE DRAWINGS

[0051] Figure 1 The figure is a flow chart of an overhead line equipment inspection and monitoring method based on drones.

[0052] Figure 2 The present invention is a flowchart for determining potential abnormal cause groups in a UAV-based overhead line equipment inspection and monitoring method.

[0053] Figure 3 The present invention is a flowchart for deleting and optimizing inspection items in a UAV-based overhead line equipment inspection and monitoring method.

[0054] Figure 4 The present invention is a flowchart for updating drone inspection information in a drone-based overhead line equipment inspection and monitoring method.

[0055] Figure 5 The present invention is a flow chart for secondary updating of drone inspection information in a drone-based overhead line equipment inspection and monitoring method.

[0056] Figure 6 The present invention is a flowchart of performing secondary updates based on the remaining total time in a drone-based overhead line equipment inspection and monitoring method.

[0057] Figure 7 The figure is a structural diagram of an overhead line equipment inspection and monitoring system based on a drone. DETAILED DESCRIPTION

[0058] In order to make the purpose, technical solution and advantages of the present invention clearer, the present invention is further described in detail below in conjunction with the accompanying drawings and specific embodiments. It should be understood that the specific embodiments described herein are only used to explain the present invention and are not used to limit the present invention.

[0059] The specific implementation of the present invention is described in detail below in conjunction with specific embodiments.

[0060] like Figure 1 As shown, an embodiment of the present invention provides an overhead line equipment inspection and monitoring method based on a drone, the method comprising the following steps:

[0061] S100, receiving drone inspection information uploaded by a user, wherein the drone inspection information includes an inspection limit time and inspection points, and each inspection point corresponds to an inspection item and an inspection level;

[0062] S200, receiving power equipment data based on the Internet of Things, where the power equipment data includes equipment numbers, parameter names, and parameter values;

[0063] S300, processing the power equipment data, determining abnormal data, analyzing the abnormal data to determine a plurality of potential abnormal cause groups, each potential abnormal cause group including a plurality of abnormal causes, one of the plurality of abnormal causes causing the corresponding abnormal data;

[0064] S400, determining the abnormal cause of the appearance abnormality in the potential abnormal cause group, and determining the abnormal location and monitoring items;

[0065] S500, updates drone inspection information based on abnormal locations and monitoring items, and deletes and optimizes inspection items;

[0066] S600, receiving the abnormal position image uploaded by the drone, determining the abnormal position image, and when it is determined that the abnormal position image is abnormal, performing a second update on the drone inspection information.

[0067] In an embodiment of the present invention, when using a drone for inspection, it is first necessary to determine the drone inspection information, which includes the inspection limit time and a number of inspection points. The inspection limit time reflects the endurance of the drone. Each inspection point corresponds to an inspection item and an inspection level. The higher the inspection level, the more important the corresponding inspection item. At the same time, power equipment data will be received through the Internet of Things technology, and the power equipment data includes equipment number, parameter name and parameter value. The embodiment of the present invention will automatically process the power equipment data. When the corresponding data is not within the qualified range, it will be determined as abnormal data. Then, the abnormal data is analyzed to determine several potential abnormal cause groups. Each potential abnormal cause group contains multiple abnormal causes. That is to say, the root cause of the problem cannot be accurately obtained, and only an approximate range can be obtained. One of the multiple abnormal causes causes the corresponding abnormal data; then the abnormal cause belonging to the appearance abnormality in the potential abnormal cause group will be determined, and the appearance abnormality can be monitored by the drone. Here, it is necessary to establish an appearance abnormality library in advance to facilitate automatic determination of whether the abnormal cause is an appearance abnormality. When it belongs to an appearance abnormality, the abnormal position is determined according to the corresponding equipment number, and the monitoring item is determined according to the abnormal cause; then the drone inspection information will be automatically updated according to the abnormal position and the monitoring item, and the inspection items will be deleted and optimized. It is easy to understand that the inspection items are routine inspections, and the monitoring items are used to troubleshoot. The monitoring items are checked in all aspects to ensure the inspection quality. When the drone conducts inspections, it will upload images of abnormal locations in real time. The embodiment of the present invention will retrieve the abnormal features corresponding to the monitoring items, and judge the abnormal location images based on the abnormal features. When it is determined that the abnormal location images are abnormal, the drone inspection information will be updated for the second time. Within the drone's endurance range, some inspection items will be supplemented for monitoring, which will achieve better results.

[0068] like Figure 2 As shown, as a preferred embodiment of the present invention, the step of analyzing the abnormal data to determine the potential abnormal cause group specifically includes:

[0069] S301, extracting characteristic information of abnormal data, wherein the characteristic information includes parameter name, abnormal amplitude, change trend and device number;

[0070] S302, input the characteristic information into the knowledge base of abnormal causes of electric power equipment, and output a plurality of matching abnormal causes, wherein the plurality of abnormal causes constitute a potential abnormal cause group.

[0071] In the embodiment of the present invention, a knowledge base of abnormal causes of power equipment is established in advance, and the knowledge base of abnormal causes of power equipment contains a large number of abnormal data features, and each abnormal data feature corresponds to several possible abnormal causes. In order to obtain a potential abnormal cause group, after determining the abnormal data, the characteristic information of the abnormal data will be extracted, and the characteristic information includes parameter name, abnormal amplitude, change trend and equipment number, and then the characteristic information is input into the knowledge base of abnormal causes of power equipment for matching, and several matching abnormal causes will be output, and several abnormal causes are a potential abnormal cause group.

[0072] like Figure 3 As shown, as a preferred embodiment of the present invention, the steps of updating the drone inspection information according to the abnormal location and monitoring items and deleting and optimizing the inspection items specifically include:

[0073] S501, sorting all inspection points and abnormal locations based on inspection levels, wherein the abnormal location is at the highest level by default;

[0074] S502, retrieve the inspection duration corresponding to each inspection item and monitoring item, and retrieve the flight speed of the drone;

[0075] S503, updating the drone inspection information according to the inspection limit time, the inspection time corresponding to each inspection item and monitoring item, and the drone flight speed, and some inspection items are deleted and optimized.

[0076] In an embodiment of the present invention, in order to ensure the quality of inspection, all inspection points and abnormal positions are sorted according to the inspection level, and the abnormal position is defaulted to the highest level. Then, the inspection time corresponding to each inspection item and monitoring item is retrieved, and the flight speed of the drone is retrieved. The inspection time of the item and the flight speed of the drone are known. In this way, the drone inspection information can be updated according to the inspection limit time, the inspection time corresponding to each inspection item and monitoring item, and the flight speed of the drone, so that some inspection items are deleted and optimized to ensure that important items are monitored within the inspection limit time.

[0077] like Figure 4 As shown, as a preferred embodiment of the present invention, the step of updating the drone inspection information according to the inspection limit time, the inspection time corresponding to each inspection item and monitoring item, and the drone flight speed specifically includes:

[0078] S5031, determining an inspection path according to the abnormal positions of all monitoring items, and determining a total inspection time according to the inspection path, the inspection time of each monitoring item, and the flight speed of the drone;

[0079] S5032, determine the residual duration according to the total inspection duration and the inspection limit duration, add an inspection point to the inspection path according to the order, update the drone inspection information, and recalculate the total inspection duration;

[0080] S5033, repeat the previous step until the total inspection time is greater than the inspection limit time, and the last updated drone inspection information is the output result.

[0081] In the embodiment of the present invention, in order to determine which inspection points are inspected and which inspection points are deleted, the inspection path is first determined according to the abnormal positions of all monitoring items, and then the total inspection time is determined according to the inspection path, the inspection time of each monitoring item, and the flight speed of the drone. Then, the residual time is determined by subtracting the total inspection time from the inspection limit time. The residual time is used to monitor the inspection items, and then an inspection point is added to the inspection path according to the order, and the drone inspection information is updated. The updated content includes the inspection point, inspection item, and inspection path, and the total inspection time is recalculated. Then the previous step is repeated until the total inspection time is greater than the inspection limit time, and the drone inspection information updated last time is used as the result.

[0082] like Figure 5 As shown, as a preferred embodiment of the present invention, the step of performing a secondary update on the drone inspection information specifically includes:

[0083] S601, retrieve the abnormal position and monitoring items corresponding to the abnormal position image, and determine the corresponding potential abnormal cause group;

[0084] S602, retrieve all monitoring items determined by the potential abnormality cause group, and when the monitoring items have not been inspected, delete the monitoring items from the drone inspection information, and update the drone inspection information;

[0085] S603, calculating the updated total inspection time to obtain the remaining total time, and performing a second update on the drone inspection information based on the remaining total time.

[0086] In an embodiment of the present invention, when it is determined that an abnormality exists in an abnormal position image, it means that the root cause of the abnormal data has been found. At this time, the abnormal position and monitoring items corresponding to the abnormal position image will be retrieved, the corresponding potential abnormal cause group will be determined, and all monitoring items determined by the potential abnormal cause group will be retrieved. When some monitoring items have not yet been inspected, the monitoring items will be deleted from the drone inspection information, and the drone inspection information will be updated. In this way, there will be time remaining. Then, the updated total inspection time is calculated to obtain the remaining total time. The drone inspection information is updated for the second time based on the remaining total time, so that the remaining endurance is fully utilized.

[0087] like Figure 6 As shown, as a preferred embodiment of the present invention, the step of performing a secondary update on the drone inspection information based on the remaining total time specifically includes:

[0088] S6031, determining the remaining inspection path according to the current position of the drone, screening the inspection points that are not included in the drone inspection information according to the remaining inspection path, and sorting the screened inspection points according to the inspection level;

[0089] S6032, adding an inspection point to the remaining inspection path according to the order, updating the remaining inspection path and drone inspection information, and obtaining the remaining inspection time;

[0090] S6033, repeat the previous step until the remaining inspection time is greater than the remaining total time, and the last updated drone inspection information is the output result.

[0091] In an embodiment of the present invention, in order to make full use of the remaining endurance, the remaining inspection path is automatically determined according to the current position of the drone, and the inspection points that have not been added to the drone inspection information are screened according to the remaining inspection path. When the distance between the inspection point and the remaining inspection path is greater than the distance threshold, it will be screened out, and then the screened inspection points are sorted according to the inspection level, and then an inspection point is added to the remaining inspection path according to the sorting, the remaining inspection path and the drone inspection information are updated, and the remaining inspection time is calculated; repeat the previous step until the remaining inspection time is greater than the remaining total time, then the drone inspection information last updated is the final result.

[0092] like Figure 7 As shown, an embodiment of the present invention further provides an overhead line equipment inspection and monitoring system based on a drone, the system comprising:

[0093] The inspection information uploading module 100 is used to receive the drone inspection information uploaded by the user, wherein the drone inspection information includes the inspection limit time and inspection points, and each inspection point corresponds to an inspection item and an inspection level;

[0094] The power equipment data module 200 is used to receive power equipment data based on the Internet of Things, wherein the power equipment data includes equipment number, parameter name and parameter value;

[0095] The potential abnormality cause group module 300 is used to process the power equipment data, determine the abnormal data, analyze the abnormal data to determine a number of potential abnormality cause groups, each potential abnormality cause group contains a plurality of abnormal causes;

[0096] The abnormal monitoring project module 400 is used to determine the abnormal cause of the appearance abnormality in the potential abnormal cause group, determine the abnormal location and monitoring items;

[0097] The inspection primary update module 500 is used to update the drone inspection information according to the abnormal location and monitoring items, and to delete and optimize the inspection items;

[0098] The inspection secondary update module 600 is used to receive the abnormal position image uploaded by the drone, determine the abnormal position image, and when it is determined that the abnormal position image is abnormal, perform secondary update on the drone inspection information.

[0099] As a preferred embodiment of the present invention, the inspection once update module 500 includes:

[0100] A point position sorting unit is used to sort all inspection points and abnormal positions based on the inspection level, and the abnormal position is the highest level by default;

[0101] An information retrieval unit is used to retrieve the inspection duration corresponding to each inspection item and monitoring item, and retrieve the flight speed of the drone;

[0102] The inspection item optimization unit is used to update the drone inspection information according to the inspection limit time, the inspection time corresponding to each inspection item and monitoring item, and the drone flight speed. Some inspection items are deleted and optimized.

[0103] As a preferred embodiment of the present invention, the inspection item optimization unit includes:

[0104] The total inspection duration subunit is used to determine the inspection path according to the abnormal locations of all monitoring items, and to determine the total inspection duration according to the inspection path, the inspection duration of each monitoring item, and the flight speed of the drone;

[0105] The inspection point adding subunit is used to determine the residual value duration according to the total inspection duration and the inspection limit duration, add an inspection point to the inspection path according to the sorting, update the drone inspection information, and recalculate the total inspection duration;

[0106] The inspection information determination subunit is used to repeatedly execute the steps in the inspection point addition subunit until the total inspection time is greater than the inspection limit time, and the last updated drone inspection information is the output result.

[0107] As a preferred embodiment of the present invention, the inspection secondary update module 600 includes:

[0108] A corresponding information determination unit, used to retrieve the abnormal position and monitoring items corresponding to the abnormal position image, and determine the corresponding potential abnormal cause group;

[0109] A monitoring item deletion unit, used to retrieve all monitoring items determined by the potential abnormality cause group, and when the monitoring items have not been inspected, delete the monitoring items from the drone inspection information, and update the drone inspection information;

[0110] The inspection secondary update unit is used to calculate the updated total inspection time, obtain the remaining total time, and perform secondary update on the drone inspection information based on the remaining total time.

[0111] The above only describes in detail the preferred embodiments of the present invention, which is not intended to limit the present invention. Any modifications, equivalent substitutions and improvements made within the spirit and principles of the present invention should be included in the protection scope of the present invention.

[0112] It should be understood that, although each step in the flow chart of each embodiment of the present invention is shown in sequence according to the indication of the arrow, these steps are not necessarily performed in sequence according to the order indicated by the arrow. Unless there is a clear explanation in this article, the execution of these steps does not have a strict order restriction, and these steps can be performed in other orders. Moreover, at least a portion of the steps in each embodiment may include a plurality of sub-steps or a plurality of stages, and these sub-steps or stages are not necessarily performed at the same time, but can be performed at different times, and the execution order of these sub-steps or stages is not necessarily performed in sequence, but can be performed in turn or alternately with at least a portion of other steps or sub-steps or stages of other steps.

[0113] Those skilled in the art can understand that all or part of the processes in the above-mentioned embodiment methods can be completed by instructing the relevant hardware through a computer program, and the program can be stored in a non-volatile computer-readable storage medium. When the program is executed, it can include the processes of the embodiments of the above-mentioned methods. Among them, any reference to memory, storage, database or other media used in the embodiments provided in this application may include non-volatile and / or volatile memory. Non-volatile memory may include read-only memory (ROM), programmable ROM (PROM), electrically programmable ROM (EPROM), electrically erasable programmable ROM (EEPROM) or flash memory. Volatile memory may include random access memory (RAM) or external cache memory. As an illustration and not limitation, RAM is available in many forms, such as static RAM (SRAM), dynamic RAM (DRAM), synchronous DRAM (SDRAM), double data rate SDRAM (DDRSDRAM), enhanced SDRAM (ESDRAM), synchronous link (Synchlink) DRAM (SLDRAM), memory bus (Rambus) direct RAM (RDRAM), direct memory bus dynamic RAM (DRDRAM), and memory bus dynamic RAM (RDRAM).

[0114] Those skilled in the art will readily appreciate other embodiments of the present disclosure after considering the disclosure in the specification and examples. This application is intended to cover any variations, uses or adaptations of the present disclosure, which follow the general principles of the present disclosure and include common knowledge or customary techniques in the art that are not disclosed in the present disclosure. The specification and examples are intended to be exemplary only, and the true scope and spirit of the present disclosure are indicated by the claims.

Claims

1. A method for inspecting and monitoring overhead line equipment based on drones, characterized in that: The method comprises the following steps: Receive drone inspection information uploaded by users, the drone inspection information includes inspection limit time and inspection points, and each inspection point corresponds to an inspection item and inspection level; Receive power equipment data based on the Internet of Things, where the power equipment data includes equipment number, parameter name and parameter value; Processing the power equipment data to determine abnormal data, analyzing the abnormal data to determine a number of potential abnormal cause groups, each potential abnormal cause group containing a plurality of abnormal causes, one of the plurality of abnormal causes causing the corresponding abnormal data; Determine the abnormal cause of the appearance abnormality in the potential abnormal cause group, determine the abnormal location and monitoring items; Update drone inspection information based on abnormal locations and monitoring items, and delete and optimize inspection items; Receive the abnormal position images uploaded by the drone, judge the abnormal position images, and when it is determined that the abnormal position images are abnormal, perform a secondary update on the drone inspection information and expand the inspection items; Among them, the steps of updating the drone inspection information according to the abnormal positions and monitoring items and deleting and optimizing the inspection items specifically include: sorting all inspection points and abnormal positions based on the inspection level, and the abnormal position defaults to the highest level; retrieving the inspection time corresponding to each inspection item and monitoring item, and retrieving the drone flight speed; updating the drone inspection information according to the inspection limit time, the inspection time corresponding to each inspection item and monitoring item, and the drone flight speed, and some inspection items are deleted and optimized; Among them, the step of performing a secondary update on the drone inspection information specifically includes: retrieving the abnormal position and monitoring items corresponding to the abnormal position image, and determining the corresponding potential abnormal cause group; retrieving all monitoring items determined by the potential abnormal cause group, and when the monitoring items have not been inspected, deleting the monitoring items from the drone inspection information, and updating the drone inspection information; calculating the updated total inspection time, obtaining the remaining total time, and performing a secondary update on the drone inspection information based on the remaining total time.

2. The method for inspecting and monitoring overhead line equipment based on a drone according to claim 1 is characterized in that: The steps of analyzing abnormal data to determine potential abnormal cause groups include: Extracting characteristic information of abnormal data, wherein the characteristic information includes parameter name, abnormal amplitude, change trend and device number; The characteristic information is input into a knowledge base of abnormal causes of electric power equipment, and a plurality of matching abnormal causes are output, wherein the plurality of abnormal causes constitute a potential abnormal cause group.

3. The method for inspecting and monitoring overhead line equipment based on a drone according to claim 1 is characterized in that: The step of updating the drone inspection information according to the inspection limit time, the inspection time corresponding to each inspection item and monitoring item, and the drone flight speed specifically includes: Determine the inspection route based on the abnormal locations of all monitoring items, and determine the total inspection time based on the inspection route, the inspection time of each monitoring item, and the flight speed of the drone; Determine the residual duration based on the total inspection duration and the inspection limit duration, add an inspection point to the inspection path according to the order, update the drone inspection information, and recalculate the total inspection duration; Repeat the previous step until the total inspection time is greater than the inspection limit time, and the last updated drone inspection information is the output result.

4. The method for inspecting and monitoring overhead line equipment based on a drone according to claim 1, characterized in that: The step of performing a secondary update on the drone inspection information based on the remaining total time specifically includes: Determine the remaining inspection path according to the current position of the drone, filter the inspection points that have not been included in the drone inspection information according to the remaining inspection path, and sort the filtered inspection points according to the inspection level; According to the order, add an inspection point to the remaining inspection path, update the remaining inspection path and drone inspection information, and obtain the remaining inspection time; Repeat the previous step until the remaining inspection time is greater than the remaining total time, and the last updated drone inspection information is the output result.

5. An overhead line equipment inspection and monitoring system based on drones, characterized in that: The system comprises: The inspection information uploading module is used to receive the drone inspection information uploaded by the user. The drone inspection information includes the inspection limit time and inspection points. Each inspection point corresponds to an inspection item and inspection level. An electric equipment data module, used to receive electric equipment data based on the Internet of Things, wherein the electric equipment data includes equipment number, parameter name and parameter value; The potential abnormality cause group module is used to process the power equipment data, determine the abnormal data, analyze the abnormal data to determine several potential abnormality cause groups, and each potential abnormality cause group contains multiple abnormal causes; The abnormal monitoring project module is used to determine the abnormal cause of the appearance abnormality in the potential abnormal cause group, determine the abnormal location and monitoring items; The inspection update module is used to update the drone inspection information according to the abnormal location and monitoring items, and to delete and optimize the inspection items; The inspection secondary update module is used to receive the abnormal position image uploaded by the drone, determine the abnormal position image, and when it is determined that the abnormal position image is abnormal, perform a secondary update on the drone inspection information; Among them, the inspection one-time update module includes: a point position sorting unit, which is used to sort all inspection points and abnormal positions based on the inspection level, and the abnormal position defaults to the highest level; an information retrieval unit, which is used to retrieve the inspection time corresponding to each inspection item and monitoring item, and retrieve the flight speed of the drone; an inspection item optimization unit, which is used to update the drone inspection information according to the inspection limit time, the inspection time corresponding to each inspection item and monitoring item, and the drone flight speed, and some inspection items are deleted and optimized; Among them, the inspection secondary update module includes: a corresponding information determination unit, which is used to retrieve the abnormal position and monitoring items corresponding to the abnormal position image, and determine the corresponding potential abnormal cause group; a monitoring item deletion unit, which is used to retrieve all monitoring items determined by the potential abnormal cause group, and when the monitoring item has not been inspected, the monitoring item is deleted from the drone inspection information, and the drone inspection information is updated; a patrol secondary update unit, which is used to calculate the updated total inspection time, obtain the remaining total time, and perform secondary update on the drone inspection information based on the remaining total time.

6. The overhead line equipment inspection and monitoring system based on drone according to claim 5 is characterized in that: The inspection item optimization unit includes: The total inspection duration subunit is used to determine the inspection path according to the abnormal locations of all monitoring items, and the total inspection duration according to the inspection path, the inspection duration of each monitoring item, and the flight speed of the drone; The inspection point adding subunit is used to determine the residual value duration according to the total inspection duration and the inspection limit duration, add an inspection point to the inspection path according to the order, update the drone inspection information, and recalculate the total inspection duration; The inspection information determination subunit is used to repeatedly execute the steps in the inspection point addition subunit until the total inspection time is greater than the inspection limit time, and the last updated drone inspection information is the output result.

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