Power transmission line operation inspection method and system based on big data

Abstract

The invention discloses a power transmission line operation inspection method and system based on big data, and solves the problems that in the prior art, power transmission line operation inspection precision is low, and an accurate power transmission line state evaluation result cannot be obtained. Acquiring image data of the power transmission line; acquiring real-time operation data of the power transmission line, and fusing the real-time operation data with the image data according to a preset association rule to obtain detection data; establishing a power transmission line state evaluation model based on historical data, and inputting detection data to obtain hidden danger points and fault points of the power transmission line; according to the number of the hidden danger points and the number of the fault points, different alarm levels are generated, and corresponding operation inspection strategies are executed. Big data mining and data analysis are carried out, the health condition of the power transmission line is accurately evaluated, potential hidden dangers of the line are predicted and analyzed, scientific decision-making of operation and maintenance is completed, and the operation safety of a power system is improved.

Description

Technical Field

[0001] The present invention relates to the technical field of power system dispatching automation, and particularly relates to a transmission line operation and maintenance method and system based on big data. Background Art

[0002] With the continuous growth of power demand, transmission lines play an increasingly important role in ensuring the safe and stable operation of the power grid. However, transmission lines are exposed to the natural environment and various external forces for a long time, and are prone to various faults and problems, seriously affecting the safe and stable operation of the power grid. Therefore, it is very necessary to repair transmission lines.

[0003] At present, the maintenance of transmission lines includes three types: regular maintenance, preventive maintenance, and condition-based maintenance. Regular maintenance is to set a fixed time according to operation experience and perform periodic power outage maintenance. For more important equipment, the corresponding maintenance cycle is shortened to carry out preventive maintenance. Condition-based maintenance is carried out on the basis of fully perceiving and evaluating the operation state of the equipment. However, regular maintenance and preventive maintenance intervene before the equipment deteriorates, with low efficiency and high costs, and there is a problem of over-maintenance of equipment. In addition, due to the relatively rough state evaluation method of transmission lines and the lack of effective integration of big data information, it is difficult to obtain scientific and accurate state evaluation results, resulting in limited implementation of condition-based maintenance and inability to fully carry out condition-based maintenance. Therefore, it is difficult to accurately and precisely evaluate the state of transmission lines and provide differentiated operation and maintenance plans for maintenance. Summary of the Invention

[0004] The purpose of the present invention is to solve the problem in the prior art that the operation and maintenance accuracy of transmission lines is low and accurate state evaluation results of transmission lines cannot be obtained, and to provide a transmission line operation and maintenance method and system based on big data, which conducts big data mining and data analysis, accurately evaluates the health status of transmission lines, predicts and analyzes potential hidden dangers of the lines, completes scientific decision-making for operation and maintenance, and improves the operation safety of the power system.

[0005] To achieve the above purpose, the present invention adopts the following technical solutions: A transmission line operation and maintenance method based on big data, comprising the following steps: Based on the terrain features of the area to be operated and maintained and the distribution of transmission equipment, construct a self-service inspection route for unmanned aerial vehicles to obtain image data of transmission lines; Collect real-time operation data of transmission lines, and fuse it with the image data according to preset association rules to obtain detection data; Based on historical data, establish a transmission line state evaluation model, and input the detection data to obtain hidden danger points and fault points of the transmission line; Generate different alarm levels according to the number of hidden danger points and fault points and execute corresponding operation and maintenance strategies.

[0006] The power transmission line operation and maintenance method based on big data provided by the present invention effectively combines historical data, establishes a power transmission line status evaluation model, and can combine image data and real-time operation data of the power transmission line to obtain potential hazard points and fault points of the current power transmission line, generate different alarm levels, and execute different operation and maintenance strategies according to the alarm levels. It realizes the accurate evaluation of the monitoring status of the power transmission line, predicts and analyzes potential hidden dangers of the line, completes the scientific decision-making of operation and maintenance, and improves the operation safety of the power system.

[0007] Preferably, it further includes: scanning the area to be operated and maintained, establishing a GIS map; associating the power transmission line with the GIS map, and displaying the power transmission line route and the current health status information of the power transmission line on the GIS map; marking all power transmission lines and fault points that need on-site maintenance on the GIS map according to the operation and maintenance strategy; generating the optimal power transmission line maintenance path based on the adaptive algorithm.

[0008] Preferably, the generating different alarm levels and executing corresponding operation and maintenance strategies includes: if it is a first-level alarm, no operation and maintenance operations need to be performed; if it is a second-level alarm, mark and continuously detect the potential hazard points of the power transmission line, determine the potentially dangerous power transmission lines according to the number of potential hazard points of the power transmission line, and use them as a reference for the next inspection line; if it is a third-level alarm, set the potential hazard points with the risk coefficient reaching the threshold as fault points and perform on-site maintenance; if it is a fourth-level alarm, perform on-site maintenance on the fault points and potential hazard points with the risk coefficient reaching the threshold; if it is a fifth-level alarm, replace the power transmission line.

[0009] Preferably, the generating the optimal power transmission line maintenance path based on the adaptive algorithm includes: establishing a rectangular coordinate system with each fault point as the coordinate origin, selecting the fault point with only one quadrant containing other fault points as the preliminary origin, using the preliminary origin closest to the station as the maintenance origin, and establishing a maintenance rectangular coordinate system; taking the shortest power transmission line maintenance path as the objective function and the unobstructed power transmission line maintenance path as the constraint condition to generate the optimal power transmission line maintenance path.

[0010] Preferably, when constructing the unmanned aerial vehicle self-inspection line, based on the geographical environment of the area to be operated and maintained, combined with the meteorological influence factors, analyze the potentially dangerous power transmission lines, divide the inspection areas according to the number of potentially dangerous power transmission lines, and use the area with the largest number of dangerous power transmission lines as the priority inspection area.

[0011] Preferably, the constraint condition further includes: simultaneously overhauling the power transmission lines with high correlation and separately overhauling the power transmission lines with low correlation.

[0012] Preferably, obtain the basic information of the power transmission line, encode the power transmission line according to the basic information, encrypt it to generate the nameplate of the power transmission line, and establish a power transmission line database.

[0013] A power transmission line operation and maintenance system based on big data, comprising: a middle platform service group, the middle platform service group is connected to a power transmission panoramic monitoring application group through CBC, the power transmission panoramic monitoring application group is connected to a remote dictionary server and a service management platform, and the power transmission panoramic monitoring application group is connected to a KONG gateway through SLB.

[0014] Preferably, the power transmission panoramic monitoring application group displays three-span point-related defects based on a GIS map, arranges the three-span points and equipment points according to the voltage level, and locates the power transmission line on the GIS map according to the starting and ending points and distance of the power transmission line.

[0015] Preferably, the power transmission panoramic monitoring application group generates a hidden danger fault trend chart of the power transmission line according to historical data and current detection data.

[0016] Therefore, the present invention has the following beneficial effects: By combining power transmission line image data with real-time operation data, it can accurately evaluate the health status of UHV power transmission lines, predict the trend of core hidden danger faults, judge potential crisis areas of faults, realize differential grading of power transmission line states, complete scientific decision-making for operation and maintenance, and improve the operation safety of the power system. Description of the Drawings

[0017] Figure 1 It is a step flow chart of the power transmission line operation and maintenance method based on big data in the present invention.

[0018] Figure 2 It is an architecture diagram of the power transmission line operation and maintenance system based on big data in the present invention.

[0019] In the figure: 1, middle platform service group; 2, CBC; 3, power transmission panoramic monitoring application group; 4, remote dictionary server; 5, service management platform; 6, KONG gateway. Detailed Embodiments

[0020] The present invention will be further described in detail below in conjunction with the drawings and specific embodiments: Embodiment 1: This embodiment provides a power transmission line operation and maintenance method based on big data, as Figure 1As shown in the figure, its operation process is as follows: Step 1, construct a power generation capacity prediction model, define key influencing factors, and dynamically adjust the weights of each influencing factor in different periods of power generation; Step 2, calculate and analyze the changing trend of power generation cost over time, use time series analysis to predict the future power generation cost trend, and establish a cost-saving strategy; Step 3, combine the assessment indicators with the compensation mechanism, establish an incentive model, and adjust the parameters of the incentive model according to the impact of equipment defects on power generation capacity; Step 4, formulate a combined power generation scheduling strategy, and dynamically adjust and optimize the power generation scheduling strategy according to the implementation effect of the power generation scheduling strategy and different operation scenarios.

[0021] Based on the above, a transmission line operation and maintenance method based on big data provided by this embodiment effectively combines historical data, establishes a transmission line status evaluation model, and can combine image data and real-time operation data of the transmission line to obtain potential hazard points and fault points of the current transmission line, and generate different alarm levels, and execute different operation and maintenance strategies according to the alarm levels. It realizes the accurate assessment of the monitoring status of the transmission line, predicts and analyzes potential hidden dangers of the line, predicts the trend of core fault hidden dangers, judges potential crisis areas of faults, realizes differential grading of the transmission line status, completes scientific decision-making for operation and maintenance, and improves the operation safety of the power system.

[0022] Next, continue to further illustrate the technical solutions and technical effects of the present invention through specific examples. The following examples are explanations of the present invention and the present invention is not limited to the following examples.

[0023] Specifically, as Figure 1 shown, a transmission line operation and maintenance method based on big data includes the following steps: The first step: Based on the terrain features of the area to be operated and maintained and the distribution of transmission equipment, construct a self-service inspection route for unmanned aerial vehicles to obtain image data of the transmission line.

[0024] Obtain the basic information of the transmission line, encode the transmission line according to the basic information, encrypt it to generate a nameplate of the transmission line, and establish a transmission line database to facilitate users to view the transmission line data according to the nameplate.

[0025] The basic data includes transmission line list information (line name, cross-regional type, line nature, voltage level, commissioning date, line length, asset unit, erection method, starting position, ending position, etc.), transmission line equipment information (starting and ending locations of the line, commissioning date, line length, operating status, number of towers, last maintenance date, and operating conditions of the line, including existing defects, on-line monitoring alarms, existing hidden dangers, maintenance records, line operation years, inspection records, faults, etc.), obtained image data and obtained real-time operation data, operation and maintenance time, operation and maintenance results, and operation and maintenance strategies implemented by the transmission line.

[0026] With the rapid development of UAV technology, there are more and more UAVs that meet the actual operation requirements of the power industry. Different types of UAVs are used to meet the endurance and data processing requirements of various types of UAV operation tasks.

[0027] In this embodiment, the UAV gimbal is equipped with devices such as a high-definition camera, an infrared camera, or a dual-channel high-definition infrared camera to flexibly implement various types of UAV operation tasks. At the same time, an all-round three-dimensional inspection and anomaly handling system combining the UAV with wheeled robots, rail robots, and remote intelligent video inspection systems is constructed to cooperate closely and eliminate inspection blind spots. The UAV is used to conduct autonomous inspections multiple times to monitor the safety of transmission lines, timely master the operation status of line equipment, especially for "three-cross" lines crossing roads, railways, rivers, etc., to conduct comprehensive inspections, and make every effort to ensure the safe and stable operation of the power grid. This greatly solves various difficulties and problems encountered in previous manual inspections, reduces the labor intensity of inspection personnel, and provides accurate, efficient, safe, and reliable work support for the operation and maintenance of transmission lines.

[0028] When constructing the UAV self-service inspection line, based on the geographical environment of the area to be inspected and combined with meteorological impact factors, potential dangerous transmission lines are analyzed. The inspection areas are divided according to the number of potential dangerous transmission lines, and the area with the largest number of dangerous transmission lines is used as the priority inspection area to ensure the priority inspection of the hidden danger points of the core lines with the greatest risk and the corresponding adjustment of inspection and maintenance strategies. Thus, during the daily operation and maintenance of transmission lines, reasonable line inspection arrangements and resource scheduling are provided.

[0029] For example: in windy and rainy weather, focus on areas with many trees to avoid power outages caused by branches entangling the lines due to wind; in sunny weather, focus on open areas to avoid power outages caused by kite strings, etc.

[0030] In order to filter out noise and improve the accuracy of detection results, it is necessary to preprocess the collected transmission line image data. The specific process includes: For the collected image, the upper left corner of the image is used as the coordinate origin, the right is the positive direction of the x-axis, and the down is the positive direction of the y-axis. The image is defined as a two-dimensional function f(x, y). Each pixel in the image is represented by the coordinates (x, y), and the amplitude at the coordinates (x, y) is used as the intensity or gray level of the image at that point. If x, y, and the gray level value are all finite discrete values, a digital image is obtained.

[0031] In this embodiment, the collected image data is converted into voltage, and the voltage is sampled and quantized to obtain a discrete digital image. The digital image is processed by increasing the contrast, removing blurring and noise, and correcting geometric distortion, etc.

[0032] Step 2: Collect real-time operation data of the transmission line and fuse it with the image data to obtain detection data.

[0033] When obtaining data, collect the transmission line image and operation data respectively based on the transmission line nameplate, and correlate and fuse the image data and operation data of the transmission line. Specifically: If the image data and operation data conform to the preset association rules, mark the operation data on the image data to obtain maintenance data, making the detection result more reliable and improving the detection accuracy.

[0034] Step 3: Based on historical data, establish a transmission line status evaluation model, and input the detection data to obtain potential hazard points and fault points of the transmission line.

[0035] Based on machine learning algorithms, use historical maintenance data to establish a transmission line status evaluation model. The transmission line status evaluation model takes historical maintenance data as input and the risk coefficient of fault / hazard points as output.

[0036] Step 4: Generate different alarm levels according to the number of potential hazard points and fault points and execute corresponding operation and maintenance strategies.

[0037] Specifically: If no faults and no potential hazard points are detected in the transmission line, it indicates that the health status of the transmission line is excellent, which is the first-level alarm level. At this time, the operation and maintenance strategy is: record the detection time and result of the transmission line, and there is no need to perform operation and maintenance operations.

[0038] If no faults but potential hazard points are detected in the transmission line, and the risk coefficients of all potential hazard points are lower than the threshold, it indicates that the health status of the transmission line is good, which is the second-level alarm level. At this time, the operation and maintenance strategy is: mark and continuously detect the potential hazard points of the transmission line, determine the potentially dangerous transmission lines according to the number of potential hazard points of the transmission line, and use them as a reference for the next inspection line. The transmission line risk coefficient is the probability of a fault caused by potential hazard points.

[0039] If no faults but potential hazard points are detected in the transmission line, and the risk coefficients of some potential hazard points are higher than the threshold, it indicates that the health status of the transmission line is average, which is the third-level alarm level. At this time, the operation and maintenance strategy is: set the potential hazard points with risk coefficients reaching the threshold as fault points and perform on-site repairs; for the remaining hazard points with risk coefficients not reaching the threshold, operate according to the second-level alarm level.

[0040] If faults are detected in the transmission line, but the number of fault points is lower than the threshold, it indicates that the health status of the transmission line is poor. At this time, the operation and maintenance strategy is: perform on-site repairs on the fault points and hazard points with risk coefficients reaching the threshold; for the remaining hazard points with risk coefficients not reaching the threshold, operate according to the second-level alarm level.

[0041] If it is detected that there is no fault in the transmission line and the number of fault points is higher than the threshold, it indicates that the health condition of the transmission line is good. At this time, the operation and maintenance strategy is to replace the transmission line.

[0042] Determine the fault points and transmission lines that need on-site maintenance. To reduce the operation and maintenance cost, it is necessary to set the optimal maintenance path.

[0043] In this embodiment, the method of setting the optimal maintenance path includes: Set the objective function: The objective function is to minimize the maintenance cost and the shortest maintenance path of the transmission line.

[0044] Among them, the maintenance cost includes: the power outage loss caused by maintenance, the cost loss of maintenance personnel and maintenance equipment, and the fault loss of the equipment associated with the transmission line caused by maintenance, etc.

[0045] Set the constraint conditions: The constraint conditions include that the maintenance path of the transmission line is unobstructed, the highly correlated transmission lines are maintained simultaneously (highly correlated means that when one transmission line is maintained, another associated line is shut down), the transmission lines with low correlation are maintained separately (transmission lines with low correlation refer to two or more transmission lines that are independent of each other or are backups for each other. To avoid fault losses, they should be maintained separately), and time constraints (the maintenance task should be completed within a certain time).

[0046] The method for operation and maintenance of transmission lines based on big data provided in this embodiment has the following advantages: (1) By fusing the image data and operation data of the transmission line to evaluate the health status of the transmission line, the accuracy of the operation and maintenance of the transmission line is improved, and scientific decision-making for operation and maintenance is completed.

[0047] (2) With the objective function of minimizing the maintenance cost and the shortest maintenance path of the transmission line, the operation and maintenance cost of the transmission line is further optimized.

[0048] (3) Effectively combining historical data, realizing differential grading of the transmission line status, and completing accurate evaluation of the health status of the transmission line.

[0049] Embodiment 2: This embodiment provides a method for operation and maintenance of transmission lines based on big data. On the basis of Embodiment 1, combined with specific application scenarios, the operation and maintenance of transmission lines are realized.

[0050] The existing inspection of transmission lines can only display the status of the transmission lines themselves and cannot display the environment where the transmission lines are located, which is not convenient for users to view in real time, and users cannot perform panoramic operations. Therefore, this embodiment combines with the GIS map to realize the inspection and display of transmission lines.

[0051] Specifically, it includes: Scan the area to be inspected and maintained, and establish a GIS map. This GIS map has functions such as editing, mapping, displaying, and measuring. Users can add and delete transmission lines or change their attributes. In addition, the GIS map constructed in this embodiment also supports spatial analysis, such as overlay analysis, terrain analysis, and shortest path optimization, etc., providing an operation platform for the operation and maintenance of transmission lines.

[0052] Specifically: Associate the transmission lines with the GIS map, and import all the image data of the transmission lines, the real-time operation data of the transmission lines, and the detection results collected in the first embodiment into the GIS map and associate them with the corresponding transmission lines. At the same time, display the transmission line routes and the current health status information of the transmission lines on the GIS map.

[0053] For the detection results obtained in the first embodiment, after the end of a patrol inspection, mark all the transmission lines and fault points that need on-site maintenance on the GIS map; based on the adaptive algorithm, generate the optimal maintenance path for the transmission lines.

[0054] When generating the optimal transmission line, first establish a basic rectangular coordinate system: Take all the fault points in the area to be inspected and maintained as the coordinate origins, and establish a rectangular coordinate system respectively. Screen the fault points in the established rectangular coordinate system where only one quadrant contains the remaining fault points (the remaining three quadrant areas do not include fault points) as the preliminary origin.

[0055] Take the transmission line preliminary origin closest to the site (the starting point of the maintenance personnel) as the maintenance origin, add your maintenance foot coordinate system, and mark the coordinates of the remaining fault points on the maintenance rectangular coordinate system. It should be noted that when establishing the maintenance foot coordinate system, the quadrant area where the fault point is located is taken as the first quadrant, that is, both the abscissa and the ordinate are positive values.

[0056] To improve efficiency, since the fault points in the central area cannot have other fault points in only one quadrant area, the fault points located in the edge area of the area to be inspected and maintained can be directly processed as above.

[0057] According to the established maintenance rectangular coordinate system, with the shortest transmission line maintenance path as the objective function and the unobstructed transmission line maintenance path (such as for mountainous areas, there are water ponds or slopes on the path, which can be seen in combination with the GIS map) as the constraint condition, based on the adaptive algorithm, generate the optimal transmission line maintenance path. The maintenance personnel repair the transmission lines and fault points according to the optimal transmission line maintenance path.

[0058] Furthermore, in this embodiment, the constructed GIS map can also display the corresponding line positioning information and direction according to the selected important channel, and also support the display of basic functions such as power grid, distance measurement, voltage level, and weather. It can display the basic information such as the channel length, the number of transmission lines, the number of poles and towers, and the maximum transmission capacity of the current channel.

[0059] In addition, in this embodiment, the GIS map is also associated with the operation status of the current important channel, including the number (status) of critical / serious defects, the number (status) of potential hazards, the daily load, and the number of tripping times of the current important channel, and supports jumping to the statistical details page.

[0060] Specifically, it includes: Critical / serious defects: Display the serious critical defects on the current day.

[0061] Daily load: Display the line load of the channel on the current day.

[0062] Risk information: Display the number of overhead potential hazards of the important channel.

[0063] Fault information: Display the historical fault number of the channel line.

[0064] For transmission lines, this embodiment can further analyze the potential risk hazards of transmission lines in combination with meteorological factors. Specifically, it includes: accessing and analyzing typhoon, lightning, wildfire, ice coating and online monitoring data from the environmental center, and integrating the environmental data under the corresponding important channels. It includes supporting jumping to the typhoon, lightning, wildfire, and ice coating function pages to realize the statistics of online monitoring devices and alarm data under the channel.

[0065] Among them, the important channels include several important transmission lines, mainly the channels composed of UHV AC and DC transmission lines; the channels composed of two or more important transmission lines with a general center distance of no more than 600m.

[0066] Through the GIS map, the overhead channel management of transmission lines can be realized, which is convenient for users to master the basic information, environmental changes, seasonal characteristics, potential hazard dynamics and operation status of the channel, realize the visualization of the channel, timely discover the defects of transmission lines, notify the operation and maintenance unit in the first time, and ensure the safe operation of transmission lines.

[0067] Embodiment 3: This embodiment provides a transmission line operation and maintenance system based on big data, which is used to implement the transmission line operation and maintenance method based on big data in Embodiment 1.

[0068] Specifically, a transmission line operation and maintenance system based on big data, such as Figure 2As shown in the figure, it includes a power transmission panoramic monitoring application group 3, a middle platform service group 1, a KONG gateway, a remote dictionary server, and a service management platform. The power transmission panoramic monitoring application group is respectively connected to the remote dictionary server 4 and the service management platform 5. The power transmission panoramic monitoring application group is connected to the KONG gateway 6 through an SLB. The power transmission panoramic monitoring application group is connected to the middle platform service group through a CSB2.

[0069] The KONG gateway is an application based on OpenResty, with excellent performance, supporting plug-in expansion, high plug-in development efficiency, and a mature development process, which can meet different requirements of the business side in a timely manner. SLB represents load balancing. To ensure availability, multiple KONG gateway instances are deployed in the system in this embodiment. However, the entrance requires singularity. Therefore, an SLB is deployed in front of the KONG gateway instances to achieve a single entrance and have the SLB function.

[0070] CSB, namely the Cellular Service Backbone, is an important part of the mobile communication network, which undertakes the forwarding and processing tasks of all mobile station data and signaling traffic. The power transmission panoramic monitoring application group transmits information to the middle platform service group through the CSB.

[0071] The remote dictionary server (Redis) is used as a data cache for databases or other slow back-end storages. It can store user session data and allow applications to send and receive messages asynchronously. It can also be used as a time series database to store data indexed by timestamps.

[0072] In this embodiment, the service management platform adopts Nacos (Dynamic Naming and Configuration Service), which is used to implement dynamic service discovery, service registration and configuration management, as well as to achieve dynamic switching and traffic control of services.

[0073] Furthermore, the power transmission panoramic monitoring application group, as the core module of the system, is used to realize data collection, data analysis and data storage, and at the same time visually display the operation and inspection results after data analysis.

[0074] Specifically, the power transmission panoramic monitoring application group includes a data collection module, a data analysis module, a visual display module, and a power transmission line overhead passage management module.

[0075] The data collection module mainly counts the list information of power transmission lines within the range of the area to be inspected, including the general situation, basic information, operation and maintenance information, overhaul information, and current situation analysis of the power transmission lines, realizes the comprehensive recording of equipment management information, so as to facilitate tracking the details of equipment information, comprehensively manage and control, query the basic information of equipment, and improve the level of equipment management.

[0076] The specific content collected by the data acquisition module includes: (1) Line list.

[0077] Collect the power transmission line list information within the area to be inspected, including the affiliated area, operation and maintenance unit, operation and maintenance team, line name, cross-regional type, line nature, voltage level, commissioning date, line length, asset unit, erection method, starting position, ending position, asset nature, whether it is a branch line, operation status, etc. of the power transmission line.

[0078] (2) Equipment information.

[0079] The equipment information of each line in the line list, including the starting and ending points of the line, commissioning date, line length, operation status, number of poles and towers, last maintenance date, and the operation conditions of the line, including existing defects, on-line monitoring alarms, existing hidden dangers, maintenance records, line operation years, inspection records, faults.

[0080] (3) Basic information.

[0081] The detailed information of each line in the line list, including line ledger, pole and tower details, insulation configuration, conductor information. Among them, the ledger information includes the asset parameters, operation parameters and other parameters of the line, the pole and tower details include the pole and tower number, commissioning date, span, pole and tower nature, model, manufacturer, etc. of the pole and tower, the insulation configuration includes the line name, pole and tower number, iron tower model, height above ground, span, insulator model, installation level, etc., and the conductor information includes the line name, starting pole and tower, ending pole and tower, conductor length, etc.

[0082] According to the erection method (all, overhead, cable, hybrid) and voltage level, display the number of line circuits and line length in different regions; according to the voltage level, count the number of line circuits, length, and the basic number of poles and towers; according to the voltage level, count the number of operating lines within one year, 1 - 5 years, 5 - 10 years, 10 - 20 years, and over 20 years.

[0083] The data analysis module analyzes the information collected by the data acquisition module, determines the health status of the power transmission line, and generates corresponding operation and maintenance strategies.

[0084] The visualization display module, including a GIS map, can view the detailed information of the power transmission line collected by the data acquisition module and the analysis results of the data analysis module on the GIS map by selecting the nameplate of the power transmission line. It can filter and query through fields such as affiliated area, operation and maintenance unit, operation and maintenance team, line name, cross-regional type, line nature, voltage level, etc., and can export the line list information list.

[0085] The defect points, potential hazard points of the selected transmission line and the locations of distributed fault devices can be displayed on the GIS map. The starting and ending points of the transmission line can be selected and the distance can be input for positioning on the map. Clicking on the manhole of the cable line on the GIS map can display the manhole information, and the poles and towers of the line can be displayed on the map.

[0086] The maintenance information of the selected transmission line can be displayed on the GIS map: according to the operation and maintenance conditions of the transmission line, the outage application forms, weekly plans, investigation forms, maintenance plans and maintenance records of the transmission line are statistically displayed. During the operation of the line, maintenance personnel will perform regular or irregular maintenance on the line to ensure the normal operation of equipment such as transmission lines. During this process, information such as maintenance plans and maintenance investigation forms will be generated, so it is necessary to improve the maintenance data of transmission line equipment. And with the poles and towers under the transmission line as the organization, the functions of displaying, querying and downloading the poles and towers are realized.

[0087] Guided by the professional business application requirements of transmission lines, the query and integration of monitoring information of on-line monitoring devices such as conductor sections, grounding boxes, poles, etc. are realized.

[0088] The visualization display module can also display the data of line protection personnel and inspection stations in the current important corridor, and support jumping to the three-level line protection page. It also supports querying information such as the patrol areas and phone numbers of protection personnel; the names, line protection scopes, geographical locations, etc. of inspection stations, and provides maintenance of inspection stations and line protection personnel.

[0089] The overhead corridor management module of the transmission line grasps the basic information, environmental changes, seasonal characteristics, potential hazard dynamics and operation conditions of the transmission corridor, realizes the visualization of the transmission corridor, discovers the defects of the transmission line in time, and notifies the operation and maintenance unit immediately to ensure the safe operation of the transmission line.

[0090] Among them, the transmission corridor is composed of several important transmission lines. In this embodiment, it includes: the transmission corridor composed of UHV AC and DC transmission lines; the transmission corridor composed of important transmission lines with a center distance of no more than 600m for two or more circuits.

[0091] The overhead corridor management module of the transmission line displays the route of the transmission line with the GIS map as the background. According to the selected important corridor, the corresponding line positioning information and direction are displayed, and the basic function displays such as power grid, distance measurement, voltage level, weather, etc. are supported. At the same time, the basic information displays of the corridor length, number of lines, number of poles and towers, and maximum transmission capacity of the current corridor are realized.

[0092] The overhead corridor management module of the transmission line analyzes the number (status) of critical / serious defects, the number (status) of potential hazards, the daily load and the number of tripping times of the current important corridor.

[0093] Specifically include: Critical / Severe Defects: Display severe critical defects on the current day.

[0094] Current Day Load: Display the line load of the channel on the current day.

[0095] Risk Information: Display the number of hidden dangers of overhead lines in important channels.

[0096] Fault Information: Display the historical fault number of the channel line.

[0097] At the same time, the overhead line channel management module of the transmission line is based on the access and analysis of typhoon, lightning, wildfire, icing and online monitoring data, integrates the environmental data under the corresponding important channels, and conducts statistics on the online monitoring devices and alarm data under the channels.

[0098] Furthermore, to strengthen the management of the "three crossings" of overhead transmission lines and improve the operation and maintenance level, it is necessary to improve the "three crossings" line ledger, realize the system automatic judgment of the verification results, inspection conditions and the installation conditions of technical protection devices, improve video diagnosis, and realize video real-time warning.

[0099] Therefore, the transmission panoramic monitoring application group obtains the "three crossings" points and the lines associated with the "three crossings" points. The "three crossings" ledger displays the tower ledger information of the "three crossings" points and the position information of the active online monitoring devices, and arranges the collected information according to voltage levels, "three crossings" types, etc., and establishes an index to facilitate the staff to search. And graphical display components are respectively established for statistics according to different dimensions such as voltage levels, "three crossings" types, and monitoring device information.

[0100] The transmission panoramic monitoring application group is associated with online monitoring device information, including micro-photo monitoring alarm information, icing monitoring alarm information, and distributed fault rapid diagnosis alarm information. Among them, the micro-photo monitoring alarm displays high-risk alarms, low-risk alarms, and the total true alarm levels. The icing monitoring alarm displays first-level alarms, second-level alarms, and third-level alarms. The distributed fault rapid diagnosis alarm displays fault alarms, online quantities, total device numbers, etc.

[0101] Based on the GIS map, display the defects associated with the "three crossings" points, filter and display according to voltage levels, and display the number of "three crossings" defects in each region in the form of a bar chart (by default, display the data that has passed the review and has not been eliminated according to the defect status), and filter and display the defect status as archived and uneliminated data.

[0102] The above-described embodiments are only a preferred solution of the present invention, and do not impose any form of limitation on the present invention. There are other variations and modifications without exceeding the technical solutions recorded in the claims.

Claims

1. A transmission line inspection method based on big data, characterized in that: The following steps are involved: Based on the terrain characteristics of the area to be inspected and the distribution of power transmission equipment, a self-service drone inspection route is constructed to obtain transmission line image data; Collect real-time operation data of power transmission lines, fuse it with image data according to preset association rules, and obtain detection data; Based on historical data, a transmission line status assessment model is established, and detection data is input to obtain hidden dangers and fault points of the transmission line; According to the number of potential danger points and fault points, different alarm levels are generated and corresponding operation and inspection strategies are implemented.

2. A transmission line inspection method based on big data according to claim 1, characterized in that: Also includes: Scan the area to be inspected and create a GIS map; Link the transmission lines to the GIS map and display the transmission line path and current health status information on the GIS map; According to the operation and inspection strategy, all transmission lines and fault points that require on-site maintenance are marked on the GIS map; based on the adaptive algorithm, the optimal transmission line maintenance path is generated.

3. A transmission line inspection method based on big data according to claim 1 or 2, characterized in that: The generation of different alarm levels and the execution of corresponding operation and inspection strategies include: if it is a level 1 alarm, no operation and maintenance operation is required; if it is a level 2 alarm, the hidden danger points of the transmission line are marked and continuously detected, and the potentially dangerous transmission line is determined according to the number of hidden danger points of the transmission line, and used as a reference for the next line inspection; if it is a level 3 alarm, the hidden danger points whose risk factors reach the threshold are set as fault points, and on-site maintenance is performed; if it is a level 4 alarm, the fault points and the hidden danger points whose risk factors reach the threshold are repaired on-site; if it is a level 5 alarm, the transmission line is replaced.

4. A transmission line inspection method based on big data according to claim 2, characterized in that: The method of generating the optimal transmission line maintenance path based on the adaptive algorithm includes: establishing a rectangular coordinate system with each fault point as the coordinate origin, selecting a fault point with only one quadrant containing other fault points as a preliminary origin, and using the preliminary origin closest to the site as the maintenance origin to establish a maintenance rectangular coordinate system; and generating the optimal transmission line maintenance path with the shortest transmission line maintenance path and the minimum maintenance cost as the objective function and the transmission line maintenance path being unobstructed as the constraint condition.

5. The method for power transmission line operation and inspection based on big data according to claim 3, characterized in that: When constructing a self-service drone inspection route, the potentially dangerous transmission lines are analyzed based on the geographical environment of the area to be inspected, combined with meteorological influencing factors and the results of the previous inspection, and the inspection area is divided according to the number of potentially dangerous transmission lines. The area with the largest number of dangerous transmission lines is selected as the priority inspection area.

6. A transmission line inspection method based on big data according to claim 4, characterized in that: The constraint conditions also include: inspecting the transmission lines with high correlation at the same time, and inspecting the transmission lines with low correlation separately.

7. A transmission line inspection method based on big data according to claim 1, 2, 4 or 6, characterized in that: The basic information of the transmission line is obtained, the transmission line is encoded according to the basic information, and the nameplate of the transmission line is generated by encryption, and a transmission line database is established.

8. A transmission line operation and inspection system based on big data, adopting a transmission line operation and inspection method based on big data as claimed in any one of claims 1 to 7, characterized in that: include: The middle platform service group, the middle platform service group is connected to the power transmission panoramic monitoring application group through CBC, the power transmission panoramic monitoring application group is connected to the remote dictionary server and service management platform, and the power transmission panoramic monitoring application group is connected to the KONG gateway through SLB.

9. A transmission line operation and inspection system based on big data according to claim 8, characterized in that: The power transmission panoramic monitoring application group displays the associated defects of three span points based on the GIS map, arranges the three span points and equipment points according to the voltage level, and locates the transmission line on the GIS map according to the starting and ending points and distances of the transmission line.

10. A transmission line operation and inspection system based on big data according to claim 8 or 9, characterized in that: The power transmission panoramic monitoring application group generates a transmission line hidden danger fault trend diagram based on historical data and current detection data.

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