Distribution line management method, device and system, storage medium and electronic device

By analyzing historical inspection data and weather data, determine the inspection needs of the distribution line and generate standard inspection task packs, solve the problem of low accuracy and low inspection efficiency of power distribution lines, and achieve high -efficiency and high -quality inspections.

CN119358942APending Publication Date: 2025-01-24JIANGMEN POWER SUPPLY BUREAU OF GUANGDONG POWER GRID CO LTD +1
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Patent Information

Application Number
CN202411504285.2
Authority / Receiving Office
CN · China
Patent Type
Applications(China)
Current Assignee / Owner
Filing Date
2024-10-25
Publication Date
2025-01-24

AI Technical Summary

Technical Problem

In the prior art, the low accuracy of distribution line management and low inspection efficiency lead to the coexistence of inspections and under-inspection.

Method used

By obtaining the historical inspection data of the target distribution line, determine the historical inspection time, weather data and equipment status, based on these data, determine the inspection needs of each sub -line in different weather, and generate standard inspection task packs with target duration.

Benefits of technology

The accuracy of the generated standard inspection task package was improved, the problem of low accuracy and low inspection efficiency of the power distribution lines was solved, and the high -efficiency and high -quality inspection of the power distribution line was realized.

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Patent Text Reader

Abstract

The embodiment of the invention provides a distribution line management method, device and system, a storage medium and an electronic device, and the method comprises the steps: obtaining the historical inspection data of a target distribution line; determining historical patrol moments included in the historical patrol data, historical weather data of the historical patrol moments and historical equipment states; on the basis of the historical patrol moments, the historical weather data and the historical equipment states, patrol requirements of each sub-line included in the target distribution line in different weather are determined; and generating a standard patrol task packet of the target time length for the sub-line based on the target weather data of the target moment, the patrol demand and the line element units included in the sub-line. According to the invention, the problems of low distribution line management accuracy and low distribution line inspection efficiency in the prior art are solved, the effect of improving the distribution line management accuracy is achieved, and high-efficiency and high-quality inspection of the distribution line is realized.
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Description

Technical Field

[0001] Embodiments of the present invention relate to the field of power distribution operation and maintenance management, and specifically, to a power distribution line management method, device, system, storage medium and electronic device. Background Art

[0002] In the relevant technologies, in the distribution operation and maintenance management, inspection work is an important link to ensure the safe and stable operation of the power grid. However, there is a general shortage of inspection manpower at present, and the traditional inspection plan formulation method relies on manual experience and judgment, which lacks scientificity and accuracy. At present, the distribution lines generally have a situation where over-inspection and under-inspection coexist.

[0003] It can be seen from this that the relevant technology has problems of low accuracy in distribution line management and low efficiency in distribution line inspection.

[0004] Currently, no effective solution has been proposed for the above-mentioned problems existing in the related technologies. Summary of the invention

[0005] Embodiments of the present invention provide a distribution line management method, device, system, storage medium and electronic device to at least solve the problems of low distribution line management accuracy and low distribution line inspection efficiency existing in the related art.

[0006] According to one embodiment of the present invention, a distribution line management method is provided, including: acquiring historical inspection data of a target distribution line; determining historical inspection times, historical weather data and historical equipment status included in the historical inspection data; determining the inspection requirements of each sub-line included in the target distribution line under different weather conditions based on the historical inspection times, the historical weather data and the historical equipment status; generating a standard inspection task package of target duration for the sub-line based on the target weather data at the target time, the inspection requirements and the line element units included in the sub-line.

[0007] According to another embodiment of the present invention, there is provided a distribution line management device, comprising: an acquisition module for acquiring historical patrol data of a target distribution line; a first determination module for determining historical patrol times, historical weather data and historical equipment status included in the historical patrol data; a second determination module for determining patrol requirements of each sub-line included in the target distribution line under different weather conditions based on the historical patrol times, the historical weather data and the historical equipment status; and a management module for generating a standard patrol task package of a target duration for the sub-line based on the target weather data at the target time, the patrol requirements and the line element units included in the sub-line.

[0008] According to another embodiment of the present invention, a power distribution line management system is provided, comprising the device as described in the above embodiment.

[0009] According to yet another embodiment of the present invention, a computer-readable storage medium is provided, in which a computer program is stored, wherein the computer program is configured to execute the steps of any one of the above method embodiments when run.

[0010] According to yet another embodiment of the present invention, there is provided an electronic device, including a memory and a processor, wherein the memory stores a computer program, and the processor is configured to run the computer program to execute the steps in any one of the above method embodiments.

[0011] According to yet another embodiment of the present invention, a computer program product is provided, including a computer program, and when the computer program is executed by a processor, the steps of the method described in each embodiment of the present application are implemented.

[0012] Through the present invention, the historical inspection data of the target distribution line is obtained; the historical inspection time, the historical weather data and the historical equipment status included in the historical inspection data are determined; the inspection requirements of each sub-line included in the target distribution line under different weather conditions are determined based on the historical inspection time, the historical weather data and the historical equipment status; and a standard inspection task package of the target duration is generated for the sub-line based on the target weather data at the target time, the inspection requirements and the line element unit included in the sub-line. Since the inspection requirements of each sub-line under different weather conditions can be determined according to the historical inspection time, the historical weather data and the historical equipment status included in the historical inspection data, and the standard inspection task package is generated for each sub-line according to the target weather data at the target time and the inspection requirements, the accuracy of the generated standard inspection task package is improved by analyzing the historical inspection data and combining the target weather data at the target time, therefore, the problems of low management accuracy of distribution lines and low inspection efficiency of distribution lines existing in the related art can be solved, and the effect of improving the management accuracy of distribution lines can be achieved, and the inspection object can inspect the line according to the standard inspection task package, realizing efficient and high-quality inspection of distribution lines. BRIEF DESCRIPTION OF THE DRAWINGS

[0013] Figure 1 It is a hardware structure block diagram of a mobile terminal of a power distribution line management method according to an embodiment of the present invention;

[0014] Figure 2 is a flow chart of a power distribution line management method according to an embodiment of the present invention;

[0015] Figure 3is a structural block diagram of a distribution line management device according to an embodiment of the present invention. DETAILED DESCRIPTION

[0016] Hereinafter, embodiments of the present invention will be described in detail with reference to the accompanying drawings and in combination with the embodiments.

[0017] It should be noted that the terms "first", "second", etc. in the specification and claims of the present invention and the above-mentioned drawings are used to distinguish similar objects, and are not necessarily used to describe a specific order or sequence.

[0018] The method embodiments provided in the embodiments of the present application can be executed in a mobile terminal, a computer terminal or a similar computing device. Taking running on a mobile terminal as an example, Figure 1 FIG. 1 is a hardware structure block diagram of a mobile terminal of a power distribution line management method according to an embodiment of the present invention. Figure 1 As shown, the mobile terminal may include one or more ( Figure 1 Only one is shown in the figure) a processor 102 (the processor 102 may include but is not limited to a processing device such as a microprocessor MCU or a programmable logic device FPGA) and a memory 104 for storing data, wherein the mobile terminal may also include a transmission device 106 and an input / output device 108 for communication functions. It can be understood by those skilled in the art that Figure 1 The structure shown is only for illustration and does not limit the structure of the mobile terminal. Figure 1 More or fewer components as shown, or with Figure 1 Different configurations are shown.

[0019] The memory 104 can be used to store computer programs, for example, software programs and modules of application software, such as the computer program corresponding to the distribution line management method in the embodiment of the present invention. The processor 102 executes various functional applications and data processing by running the computer program stored in the memory 104, that is, to implement the above method. The memory 104 may include a high-speed random access memory, and may also include a non-volatile memory, such as one or more magnetic storage devices, flash memory, or other non-volatile solid-state memory. In some examples, the memory 104 may further include a memory remotely arranged relative to the processor 102, and these remote memories may be connected to the mobile terminal via a network. Examples of the above-mentioned network include, but are not limited to, the Internet, an intranet, a local area network, a mobile communication network, and combinations thereof.

[0020] The transmission device 106 is used to receive or send data via a network. The specific example of the above network may include a wireless network provided by a communication provider of the mobile terminal. In one example, the transmission device 106 includes a network adapter (Network Interface Controller, referred to as NIC), which can be connected to other network devices through a base station so as to communicate with the Internet. In one example, the transmission device 106 can be a radio frequency (RF) module, which is used to communicate with the Internet wirelessly.

[0021] In this embodiment, a distribution line management method is provided. Figure 2 is a flow chart of a distribution line management method according to an embodiment of the present invention. Figure 2 As shown, the process includes the following steps:

[0022] Step S202, obtaining historical inspection data of the target distribution line;

[0023] In the above steps, historical inspection data can be obtained in real time through software robots, crawler technology, etc. The historical inspection data may include historical inspection time, historical weather data at historical inspection time, historical equipment status at historical inspection time, inspection route, equipment included in the inspection route, inspectors, and other information.

[0024] Step S204, determining the historical inspection time, the historical weather data at the historical inspection time, and the historical equipment status included in the historical inspection data;

[0025] In the above steps, by determining the historical weather data and historical equipment status at the historical inspection time, the impact of weather on the equipment can be determined, and then the inspection tasks can be accurately specified according to the weather conditions.

[0026] Step S206, determining the inspection requirements of each sub-circuit included in the target distribution line under different weather conditions based on the historical inspection time, the historical weather data, and the historical equipment status;

[0027] In the above steps, the target distribution line can be divided to obtain multiple sub-lines. The target distribution line can be divided according to length, according to the area where the line is located, or according to the nature of the line. The present invention does not limit the method of dividing the target distribution line.

[0028] In the above steps, the inspection requirements can be determined according to historical inspection times, historical weather data, and historical equipment status through intelligent algorithms, big data algorithms, neural network models, etc. The inspection requirements can include inspection points, inspection areas, and inspection frequencies.

[0029] Step S208: generating a standard patrol task package of a target duration for the sub-route based on the target weather data at the target time, the patrol demand, and the route element units included in the sub-route.

[0030] In the above steps, the device status information and target weather data in each sub-line of the current device can be obtained. Intelligent algorithms are used to deeply analyze these data to identify key inspection points, high-risk areas, and potentially faulty equipment. Finally, based on the analysis results, daily or hourly inspection tasks are automatically generated, and inspection lines, sections, and equipment that need to be focused on are clearly marked. For example, if historical inspection data shows that a certain line is prone to failure in a certain season, and the current real-time weather data indicates that the season is approaching, and the equipment status information shows that the relevant equipment on the line has been running for a long time, then the system will increase the number of inspections on the line and clearly mark the equipment that needs to be focused on.

[0031] In the above steps, the target duration can be a pre-set duration, for example, 1 hour, 2 hours, etc. The line component unit may include a transformer, a box transformer, a cable junction box, an outdoor switch box, a distribution station, a switch room, etc. In the above embodiment, the distribution line management method can be executed by a distribution line management system, and the distribution line management system can be a client or a web page interface. A comprehensive functional test can be performed on the distribution line management system to ensure the normal operation of various functions, such as the generation, allocation, and visualization of patrol tasks. Perform performance testing to evaluate the response speed and stability of the system under large data volumes and high concurrency. Perform security testing to prevent data leakage and illegal access. The specific steps for optimizing and improving the system according to the test results are as follows: For problems found in functional testing, fix code logic errors and vulnerabilities. For performance bottlenecks that occur in performance testing, optimize algorithms, increase caches, or perform distributed deployment. According to the security test results, strengthen user authentication, data encryption and other security measures. For example, if the functional test finds that there is an error in the allocation of patrol tasks, it is necessary to check the logic of the allocation algorithm and make corrections; if the performance test shows that the system responds slowly under high concurrency, you can consider using distributed databases or cache technology to improve the response speed. You can also optimize and manage patrol plans intelligently, and dynamically adjust patrol tasks according to actual conditions. The specific steps for intelligent optimization and management of patrol plans are as follows: Real-time monitoring of equipment status, weather changes, and historical patrol data. Based on the monitoring results and intelligent algorithms, determine whether the patrol plan needs to be adjusted. If adjustment is required, generate new patrol tasks and reallocate them. The specific steps for continuously improving and optimizing system functions through practical applications and feedback are as follows: Collect user feedback and suggestions. Analyze feedback data to find out the problems and deficiencies of the system. According to the analysis results, make targeted improvements and optimizations. Retest and deploy the optimized system. For example, if users feedback that the visualization of patrol tasks is not intuitive enough, you can optimize the interface design and add more graphical elements and interactive functions.

[0032] Through the present invention, historical inspection data of the target distribution line is obtained; the historical inspection time, historical weather data and historical equipment status included in the historical inspection data are determined; the inspection requirements of each sub-line included in the target distribution line under different weather conditions are determined based on the historical inspection time, historical weather data and historical equipment status; a standard inspection task package with a target duration is generated for the sub-line based on the target weather data at the target time, the inspection requirements and the line element units included in the sub-line; and a target inspection task is generated for each sub-line based on the target weather data at the target time and the inspection requirements. Since the inspection requirements of each sub-line under different weather conditions can be determined based on the historical inspection times, historical weather data at the historical inspection times and historical equipment status included in the historical inspection data, a standard inspection task package for target inspection tasks is generated for each sub-line based on the target weather data at the target time and the inspection requirements. By analyzing the historical inspection data and combining it with the target weather data at the target time, the accuracy of the generated standard inspection task package for target inspection tasks is improved. Therefore, the problems of low accuracy in distribution line management and low inspection efficiency of distribution lines existing in related technologies can be solved, thereby achieving the effect of improving the accuracy of distribution line management. The inspection objects can inspect the lines according to the standard inspection task package, thereby realizing efficient and high-quality inspection of the distribution lines.

[0033] In an exemplary embodiment, a standard patrol task package of a target duration is generated for the sub-route based on the target weather data at the target time, the patrol demand and the line element units included in the sub-route, including: repeatedly performing the target operation until the difference between the first sum and the target duration is less than or equal to a predetermined threshold, and determining the obtained division task package as the standard patrol task package; wherein the target operation includes: determining the current unit to be divided in the trunk line included in the line element unit, wherein when the current unit to be divided is determined for the first time, the first unit included in the line element unit is determined as the current unit to be divided; determining the first duration required for the current unit to be divided; determining the first unit to be divided that is adjacent to the unit to be divided and is to be divided and included in the line element unit; determining the second duration required for the first unit to be divided; determining the third duration required for the patrol object to move from the current unit to be divided to the first unit to be divided; determining the a first sum of the first duration, the second duration and the third duration; when the first sum is less than the target duration, the current unit to be divided and the first unit to be divided are added to the division task package, and the current unit to be divided is updated to the first unit to be divided; when the difference between the first sum and the target duration is greater than the difference, a second unit to be divided included in the branch line of the current unit to be divided and adjacent to the current unit to be divided; a fourth duration required for the second unit to be divided; a fifth duration required for the patrol object to move from the current unit to be divided to the second unit to be divided; a second sum of the first duration, the fourth duration and the fifth duration; when the second sum is less than the target duration, the current unit to be divided and the second unit to be divided are added to the division task package, and the current unit to be divided is updated to the second unit to be divided. In this embodiment, the substation outlet switch can be divided into several standard regular inspection task packages from the first element to the last element of the line through an algorithm. The division principle is based on the element count, with one hour as the standard working time of the task package. If the cable distance between two inspection devices can be reached by walking for 10 minutes, the time is calculated as walking at 5 kilometers per hour. If it is greater than 10 minutes, it is calculated as driving at 30 kilometers per hour. The standard inspection working hours for each component are as follows: each station transformer, box transformer (fixed inspection time of 5 minutes), each cable junction box, outdoor switch box (fixed inspection time of 5 minutes), each distribution station, switch room (fixed inspection time of 15 minutes), based on the line components and 1-hour task package as the standard, all lines are divided into several standard hour task packages.

[0034] In the above embodiment, the line trunk path can be determined first, the line grid asset tie switch position can be determined first, the line trunk path and the inspection equipment list and inspection logic sequence can be determined. The units in the trunk line are divided first, and then the units in the branch line are divided.

[0035] In the above embodiment, a hierarchical analysis model can be established and calculated: using the determined patrol criteria and patrol plan, a hierarchical analysis model is established, and the time required for patrolling each path is obtained by weighting each patrol device in the trunk / branch. Taking the line as a unit, the line grid structure, the number and location of equipment, the equipment connection relationship, and the equipment patrol time are extracted. The hierarchical analysis model is constructed through the above steps to obtain the time required for patrolling each path of the line, and the time is divided according to the equipment connection relationship and the task package division standard.

[0036] In an exemplary embodiment, determining the inspection requirements of each sub-line included in the target distribution line under different weather conditions based on the historical inspection time, the historical weather data, and the historical equipment status includes: training the target network model using the historical inspection time, the historical weather data, and the historical equipment status; and determining the inspection requirements of each sub-line included in the target distribution line under different weather conditions through the target network model. In this embodiment, the acquired historical inspection data can be preprocessed, and the software robot technology can be used to obtain the historical inspection data, equipment status information, real-time weather data, 10kV line equipment environment information, etc. of the distribution operation and maintenance line in real time. The collected data is cleaned to remove duplicate, erroneous, and invalid data. The data is organized to have a unified format and structure. The historical inspection time, historical weather data, and historical equipment status are determined in the preprocessed data. The characteristics and laws of the historical inspection time, historical weather data, and historical equipment status are analyzed to provide a basis for subsequent intelligent algorithms. A model for intelligently formulating inspection tasks can be constructed based on deep learning algorithms in machine learning, such as convolutional neural networks (CNNs) and recurrent neural networks (RNNs). Improve the structure of the model, such as increasing the number of layers and adjusting the number of neurons, to improve the performance of the model. Improve the training process of the model, and use techniques such as adaptive learning rate and batch normalization to accelerate the convergence speed of the model and improve its accuracy. The specific steps of training the algorithm model are as follows: Divide the data set into training set, validation set, and test set. Initialize the parameters of the model. Perform iterative training in the training set, calculate the loss function and back-propagate to update the parameters. Evaluate the model performance on the validation set and adjust the hyperparameters based on the results. Finally evaluate the accuracy and generalization ability of the model on the test set. For example, using an RNN-based model to predict equipment failures, by increasing the number of hidden layers and the number of neurons, and using an adaptive learning rate adjustment strategy, the model can more accurately capture the time series characteristics in the data, thereby improving the accuracy of fault prediction.

[0037] In an exemplary embodiment, after generating a standard patrol task package of target duration for the sub-line based on the target weather data at the target time, the patrol demand, and the line element unit included in the sub-line, the method further includes: determining the target patrol demand of the standard patrol task package; determining the level configuration of the patrol object used to perform the patrol task; and determining the target patrol object used to perform the standard patrol task package from the patrol object based on the target patrol demand and the level configuration. In this embodiment, the target patrol demand may include the urgency of the standard patrol task package, the patrol level of the standard patrol task package, and the patrol difficulty of the standard patrol task package. The level configuration of each patrol object can be determined. Different patrol objects can be divided into different levels according to work experience, education, usual performance, professional title, etc. When the target patrol demand indicates that the patrol difficulty of the standard patrol task package is high, patrol objects with rich work experience and high level can be determined as target patrol objects according to the level configuration.

[0038] In the above embodiment, the management system of the distribution line can display the patrol tasks in a visual form such as maps and charts, so that managers can intuitively monitor the execution of tasks. At the same time, according to the personnel configuration and task requirements, the system can automatically or semi-automatically assign patrol tasks to designated personnel to ensure efficient and orderly execution of tasks. For example, for personnel who are skilled and close to the task location, complex or urgent patrol tasks are assigned first.

[0039] In an exemplary embodiment, after a standard patrol task package of a target duration is generated for the sub-circuit based on the target weather data at the target time, the patrol demand, and the line element units included in the sub-circuit, the method further includes: obtaining the execution progress of the standard patrol task package in real time; displaying the standard patrol task package and the execution progress in the target form on the target interface. In this embodiment, the target form may include a map or a chart. Each sub-circuit can be displayed in the target interface, and the execution progress of each standard patrol task package can be displayed in the target interface. This facilitates and intuitively monitors the execution of tasks. The line segments that have been patrolled (already patrolled) are displayed with emphasis on the terminal, including displaying the number of patrols and patrol frequency, changing the color of the line segments, etc. When the patrol cycle conflicts with the task, the most important patrol task can be selected and selected to avoid and solve the current situation where the distribution lines are patrolled and under-patrolled.

[0040] In an exemplary embodiment, the method further includes: counting the target number of patrol tasks performed by patrol personnel who perform patrol tasks, and the patrol results of performing the patrol tasks; and determining the workload of the patrol personnel based on the target number and the patrol results. In this embodiment, the management system of the distribution line can also record the workload of each patrol personnel in real time, including key indicators such as patrol mileage and number of problems found. The workload of the patrol personnel can also be determined based on the target number and patrol results. Intelligent statistical analysis can also be performed on key indicators such as patrol mileage and number of problems found to provide data support for optimizing patrol plans and staffing. For example, personnel with longer patrol mileage but fewer problems found may need further training or adjustment of their working methods.

[0041] In the above embodiment, the system can also objectively evaluate the quality of the inspection by combining the types of problems found during the inspection, the handling status and feedback, and help improve the pertinence and effectiveness of the inspection work. Suppose an inspector has accurately discovered major problems many times and handled them in a timely manner, and he is commended and rewarded.

[0042] In the above embodiment, the intelligent algorithm model can be integrated into the management system to realize the functions of intelligent formulation, visual display, allocation, workload statistics and analysis, post-quality evaluation and plan optimization of inspection tasks.

[0043] In an exemplary embodiment, after generating a standard patrol task package of target duration for the sub-route based on the target weather data at the target time, the patrol demand, and the line element units included in the sub-route, the method further includes: acquiring the device status of each device included in the sub-route in real time, and the weather change information at the target time; adjusting the standard patrol task package based on the device status and the weather change information. In this embodiment, the system can dynamically adjust the patrol plan based on historical patrol data, changes in device status, and real-time weather conditions. For example, increase the patrol frequency in high-risk areas, optimize patrol routes to avoid areas with severe weather, etc., to ensure the accuracy and efficiency of patrol work. For example, if a certain device suddenly fails, the system immediately increases the patrol frequency of the line where the device is located, and adjusts the patrol route to shorten the arrival time.

[0044] In an exemplary embodiment, the method further includes: connecting to the target geographic system and obtaining the layout included in the target geographic system; generating a single-line diagram of the target area based on the layout; obtaining the regional data of the target area in real time; and updating the single-line diagram based on the regional data. In this embodiment, the data interface of the system can be deeply optimized and integrated to achieve seamless docking and deep integration with the target geographic system, such as GIS system, equipment center and other advanced information systems. According to the layout data in the GIS system, the single-line diagram that has been reviewed and approved by the dispatcher is automatically and accurately generated, and the changes in the graphics are reflected in real time. Through advanced algorithms, the reconstructed graphics can be displayed with higher accuracy and details, and the physical topological relationship is completely retained, providing accurate and convenient line equipment information for operation and maintenance personnel. Ensure seamless docking and data sharing between the system and related systems such as GIS system and equipment center. Use advanced development frameworks and technologies to improve the stability and scalability of the system.

[0045] In the above embodiments, the purpose and scope of environmental information collection can be clearly defined, covering the temperature, humidity, climate change of the equipment, and the surrounding geographical information, facility conditions, etc. Data collection is carried out by combining manual inspections with drone inspections. Drones are used in high-risk areas and places where the target is difficult to access to obtain real-time images and data. Identify and mark potential risk areas, such as tree barrier areas, mountain torrent areas, low-lying areas, lightning protection areas, high-frequency lightning strike areas, etc., and record the distance and relative direction between the equipment location and surrounding important landmarks, as well as the characteristics of the surrounding environment. Record the surrounding danger sources in detail, including water risks, natural environmental risks, traffic safety, etc., and collect environmental characteristic information such as vegetation types and conditions, and artificial building impact assessments. Collect data on common climate conditions and extreme weather events in the region to form an emergency response plan. Standardize the collected data, use a unified data format and template, digitally archive and enter the database, and visualize the equipment surrounding environment data through a geographic information system (GIS). According to environmental information and risk assessment, the area is graded, special patrol sections are defined, and differentiated patrol standards and cycles are formulated. Regularly organize training for relevant personnel, enhance the ability to collect and analyze environmental information, and appoint dedicated personnel to be responsible for data review to ensure the accuracy and timeliness of information.

[0046] In the above embodiment, basic information of each line equipment can also be collected, including model, specification, installation date, maintenance history, etc., and the unique identification code of the equipment can be obtained for easy management. Collect overall photos of the environment (including the equipment) where the equipment is located. It is required to take pictures of the overall appearance of the equipment and the surrounding environment. If the equipment is located in the basement, take pictures according to the method of changing scenery. Collect photos of the nameplate of the equipment, the appearance of the equipment, each part of the internal equipment, the primary wiring diagram of the internal equipment, and other designated important parts. All photos are clear and high-definition, not less than 2M. Each collector installs a map on the mobile phone to collect the coordinate information of the equipment. The coordinate data collected by the map is used to locate the equipment, with an error of no more than 1 meter, and the equipment coordinates of the GIS system are updated and optimized. The collected equipment information and photos are summarized according to substations, sublines, subshifts, and subregions, and the coordinate data of each device is saved in Excel. Only equipment is collected this time, and tower information is not collected. The collected equipment pictures are stored in layers and levels according to the management specifications of the equipment tree, and relevant indexes and pictures are checked and reviewed. To avoid data loss, multiple computers and hard drives are used for backup storage.

[0047] In an exemplary embodiment, after a standard patrol task package of a target duration is generated for the sub-line based on the target weather data at the target time, the patrol demand, and the line element unit included in the sub-line, the method further includes: dividing the standard patrol task package into work task packages according to the target duration; determining the actual duration used by the target object to execute the work task package; and adjusting the prescribed duration for executing the work task package based on the actual duration. In this embodiment, it is also possible to seamlessly connect and deeply integrate with the GIS system, the equipment center, and the advanced information system, automatically generate a single line diagram that has been reviewed by the scheduling according to the GIS layout, and simplify the preliminary data processing process. Intelligent segmentation of the work task package is achieved based on the equipment elements automatically or by manual point diagrams, and a task package in hours is generated. For example, the system defines patrolling 10 straight pole towers as an hour's task, and patrolling 2 kilometers of 10kV cables is also defined as an hour's task. After the work task package is divided, the actual duration of the target object to execute the work task package can be determined, and whether the prescribed duration needs to be adjusted can be determined based on the actual duration.

[0048] In an exemplary embodiment, after generating a standard patrol task package of target duration for the sub-line based on the target weather data at the target time, the patrol demand, and the line element unit included in the sub-line, the method further includes at least one of the following: determining the task number of the standard patrol task package, obtaining the unlocking time and locking time of the target lock required for executing the standard patrol task package, and monitoring the standard patrol task package based on the unlocking time and the locking time; sending the standard patrol task package to the mobile terminal of the target patrol object for executing the standard patrol task package, adjusting the standard patrol task package based on the multimedia file collected by the mobile terminal; receiving a generation instruction for generating an execution ticket input through the target interface, and generating the execution ticket corresponding to the standard patrol task package based on the generation instruction. In this embodiment, big data analysis technology can be deeply integrated to scientifically formulate daily, weekly, and even monthly patrol plans to ensure balanced distribution and reasonable arrangement of workload. The management method of hourly task packages is adopted to assign specific numbers to each line segment and task package for convenient and accurate management. Install electronic locks with automatic recording functions to accurately record the unlocking and locking time of operation and maintenance personnel, and accurately match them with corresponding patrol tasks, optimize employees' patrol routes and work habits, and strictly monitor and compare employees' working hours. Intelligently match the preset standard operating time and the actual per capita time, self-learn and continuously optimize and adjust the quota time of patrol. Work in groups of two to complete each patrol task, and return relevant data and complete the designated tasks to obtain points as a basis for employee performance ranking. Introduce safety helmets with video acquisition functions to realize real-time collection of on-site information and work conditions of operation and maintenance personnel. With the help of machine learning technology, build an intelligent dispatching mechanism to accurately predict the difficulty and urgency of each task, and intelligently assign it to the most suitable operation and maintenance personnel. Comprehensively consider the personal skills, real-time geographical location and current workload of the operation and maintenance team to optimize task allocation. Combined with the four-quadrant management principle, finely classify patrol tasks, clarify task priorities and formulate targeted execution strategies.

[0049] In the above embodiments, realistic records and applications based on actual on-site conditions can also be carried out, and corresponding means can be used for auxiliary supervision. Through mobile smart terminals, operation and maintenance personnel can instantly receive task updates, monitor equipment status in real time, and obtain risk warnings. The system provides auxiliary decision-making functions to help operation and maintenance personnel make accurate judgments quickly on site. Operation and maintenance personnel use smart terminals to take photos of designated equipment, collect key information and upload it to the system background. The system analyzes and cleans it, realizes automatic defect recognition and automatic reminder functions, standardizes operating procedures, and improves labor skills and work efficiency.

[0050] In the above embodiment, by clicking on a specific graphic element in the target interface, the system automatically generates a recommended execution ticket, such as an electrical operation ticket or a work ticket, etc., thereby reducing operational complexity, reducing human errors, and improving the safety and efficiency of the operation process.

[0051] In the above-mentioned embodiments, the distribution line management method can significantly improve the efficiency and accuracy of patrol plan formulation, and greatly reduce manual intervention and misjudgment. A highly visual display and intelligent allocation of patrol tasks can be achieved, greatly improving management efficiency. Real-time and accurate statistics and analysis of patrol workload provide a scientific basis for optimizing personnel allocation. Objectively and comprehensively evaluate the quality of patrols, significantly improving the pertinence and effectiveness of patrol work. Intelligently and flexibly optimize patrol plans to adapt to various complex scenarios and needs, and comprehensively improve the overall efficiency and quality of distribution operation and maintenance management. Automatic generation and high-precision reconstruction of GIS and single-line diagrams are achieved to ensure real-time synchronization and accuracy of data. Complete the fine segmentation of work task packages to improve work efficiency and accuracy of task execution. Realize refined quota task management, optimize resource allocation and employee performance evaluation. Build an intelligent dispatching mechanism to improve the rationality of task allocation and work efficiency. Strengthen human-machine collaborative operation, standardize the operation process of operation and maintenance personnel, and improve work efficiency.

[0052] Through the description of the above implementation methods, those skilled in the art can clearly understand that the method according to the above embodiment can be implemented by means of software plus a necessary general hardware platform, and of course can also be implemented by hardware, but in many cases the former is a better implementation method. Based on such an understanding, the technical solution of the present invention, or the part that contributes to the prior art, can be embodied in the form of a software product, which is stored in a storage medium (such as ROM / RAM, a magnetic disk, or an optical disk), and includes a number of instructions for enabling a terminal device (which can be a mobile phone, a computer, a server, or a network device, etc.) to execute the methods described in each embodiment of the present invention.

[0053] In this embodiment, a distribution line management device is also provided, which is used to implement the above-mentioned embodiments and preferred implementation modes, and the descriptions that have been made will not be repeated. As used below, the term "module" can be a combination of software and / or hardware that implements a predetermined function. Although the devices described in the following embodiments are preferably implemented in software, the implementation of hardware, or a combination of software and hardware, is also possible and conceivable.

[0054] Figure 3 is a structural block diagram of a distribution line management device according to an embodiment of the present invention. Figure 3 As shown, the device comprises:

[0055] An acquisition module 32 is used to acquire historical patrol data of a target distribution line;

[0056] A first determination module 34 is used to determine the historical inspection time included in the historical inspection data, the historical weather data at the historical inspection time, and the historical device status;

[0057] A second determination module 36, configured to determine the inspection requirements of each sub-circuit included in the target distribution line under different weather conditions based on the historical inspection time, the historical weather data, and the historical equipment status;

[0058] The management module 38 is used to generate a standard patrol task package of a target duration for the sub-route based on the target weather data at the target time, the patrol demand, and the route element units included in the sub-route.

[0059] In an exemplary embodiment, the second determination module can determine the inspection requirements of each sub-circuit included in the target distribution line under different weather conditions based on the historical inspection times, the historical weather data and the historical equipment status in the following manner: train a target network model using the historical inspection times, the historical weather data and the historical equipment status; and determine the inspection requirements of each sub-circuit included in the target distribution line under different weather conditions through the target network model.

[0060] In an exemplary embodiment, the device can be used to determine the target patrol requirement of the standard patrol task package after generating a standard patrol task package of the target duration for the sub-route based on the target weather data at the target time, the patrol requirement and the line element units included in the sub-route; determine the level configuration of the patrol objects used to perform the patrol task; and determine the target patrol object for performing the standard patrol task package from the patrol objects based on the target patrol requirement and the level configuration.

[0061] In an exemplary embodiment, the device can also be used to obtain the execution progress of the standard patrol task package in real time after generating a standard patrol task package of the target duration for the sub-route based on the target weather data at the target time, the patrol requirements, and the line element units included in the sub-route; and display the standard patrol task package and the execution progress in the target form on the target interface.

[0062] In an exemplary embodiment, the device can also be used to count the target number of patrol tasks performed by patrol personnel who perform patrol tasks, as well as the patrol results of performing the patrol tasks; and determine the workload of the patrol personnel based on the target number and the patrol results.

[0063] In an exemplary embodiment, the device can also be used to obtain in real time the equipment status of each device included in the sub-line and the weather change information at the target time after generating a standard patrol task package of the target duration for the sub-line based on the target weather data at the target time, the patrol requirements and the line element units included in the sub-line; and adjust the standard patrol task package based on the equipment status and the weather change information.

[0064] In an exemplary embodiment, the device can also be used to connect to a target geographic system and obtain a layout included in the target geographic system; generate a single-line diagram of the target area based on the layout; obtain regional data of the target area in real time; and update the single-line diagram based on the regional data.

[0065] In an exemplary embodiment, the device can also be used to generate a standard patrol task package with a target duration for the sub-route based on the target weather data at the target time, the patrol requirements, and the line element units included in the sub-route, and then divide the standard patrol task package into work task packages according to the target duration; determine the actual duration used by the target object to execute the work task package; and adjust the prescribed duration for executing the work task package based on the actual duration.

[0066] In an exemplary embodiment, the device can also be used to achieve at least one of the following after generating a standard patrol task package of target duration for the sub-line based on the target weather data at the target time, the patrol requirements and the line element units included in the sub-line: determine the task number of the standard patrol task package, obtain the unlocking time and locking time of the target lock required for executing the standard patrol task package, and monitor the standard patrol task package based on the unlocking time and the locking time; send the standard patrol task package to the mobile terminal of the target patrol object used to execute the standard patrol task package, and adjust the standard patrol task package based on the multimedia file collected by the mobile terminal; receive a generation instruction for generating an execution ticket input through the target interface, and generate the execution ticket corresponding to the standard patrol task package based on the generation instruction.

[0067] It should be noted that the above modules can be implemented by software or hardware. For the latter, it can be implemented in the following ways, but not limited to: the above modules are all located in the same processor; or the above modules are located in different processors in any combination.

[0068] An embodiment of the present invention further provides a distribution line management system, comprising the device described in any one of the above embodiments.

[0069] An embodiment of the present invention further provides a computer-readable storage medium, in which a computer program is stored, wherein the computer program is configured to execute the steps of any of the above method embodiments when running.

[0070] In an exemplary embodiment, the computer-readable storage medium may include, but is not limited to, various media that can store computer programs, such as a USB flash drive, a read-only memory (ROM), a random access memory (RAM), a mobile hard disk, a magnetic disk or an optical disk.

[0071] An embodiment of the present invention further provides an electronic device, including a memory and a processor, wherein a computer program is stored in the memory, and the processor is configured to run the computer program to execute the steps in any one of the above method embodiments.

[0072] In an exemplary embodiment, the electronic device may further include a transmission device and an input / output device, wherein the transmission device is connected to the processor, and the input / output device is connected to the processor.

[0073] An embodiment of the present invention further provides a computer program product, including a computer program, which implements the steps of the method in each embodiment of the present application when the computer program is executed by a processor.

[0074] For specific examples in this embodiment, reference may be made to the examples described in the above embodiments and exemplary implementation modes, and this embodiment will not be described in detail herein.

[0075] Obviously, those skilled in the art should understand that the above modules or steps of the present invention can be implemented by a general computing device, they can be concentrated on a single computing device, or distributed on a network composed of multiple computing devices, they can be implemented by a program code executable by a computing device, so that they can be stored in a storage device and executed by the computing device, and in some cases, the steps shown or described can be executed in a different order than here, or they can be made into individual integrated circuit modules, or multiple modules or steps therein can be made into a single integrated circuit module for implementation. Thus, the present invention is not limited to any specific combination of hardware and software.

[0076] The above description is only a preferred embodiment of the present invention and is not intended to limit the present invention. For those skilled in the art, the present invention may have various modifications and variations. Any modification, equivalent replacement, improvement, etc. made within the principle of the present invention shall be included in the protection scope of the present invention.

Claims

1. A distribution line management method, characterized in that: include: Obtain historical inspection data of the target distribution line; Determine the historical inspection time included in the historical inspection data, the historical weather data at the historical inspection time, and the historical equipment status; Determine the inspection requirements of each sub-circuit included in the target distribution line under different weather conditions based on the historical inspection time, the historical weather data, and the historical equipment status; A standard patrol task package of a target duration is generated for the sub-route based on the target weather data at the target time, the patrol demand, and the route element units included in the sub-route.

2. The method according to claim 1, characterized in that The standard patrol task package for generating a target duration for the sub-route based on the target weather data at the target time, the patrol demand, and the line element units included in the sub-route includes: Repeat the target operation until the difference between the first sum and the target duration is less than or equal to a predetermined threshold, and determine the obtained divided task package as the standard patrol task package; The target operation includes: Determine a current unit to be divided in the trunk line included in the line element unit, wherein when the current unit to be divided is determined for the first time, the first unit included in the line element unit is determined as the current unit to be divided; Determine a first duration required for the current unit to be divided; Determine a first to-be-divided unit included in the circuit element unit and adjacent to the to-be-divided unit and to be divided; Determine a second time duration required for the first unit to be divided; Determine a third time required for the patrol object to move from the current unit to be divided to the first unit to be divided; Determine a first sum of the first duration, the second duration, and the third duration; When the first sum is less than the target duration, the current unit to be divided and the first unit to be divided are added to the division task package, and the current unit to be divided is updated to the first unit to be divided; When the difference between the first sum and the target duration is greater than the difference, determining a second unit to be divided that is included in the branch line of the current unit to be divided and is adjacent to the current unit to be divided; Determining a fourth duration required for the second unit to be divided; Determine a fifth time duration required for the patrol object to move from the current unit to be divided to the second unit to be divided; determining a second sum of the first duration, the fourth duration, and the fifth duration; When the second sum is smaller than the target duration, the current unit to be divided and the second unit to be divided are added to the division task package, and the current unit to be divided is updated to the second unit to be divided.

3. The method according to claim 1, characterized in that Determining the inspection requirements of each sub-circuit included in the target distribution line under different weather conditions based on the historical inspection time, the historical weather data, and the historical equipment status includes: Training a target network model using the historical patrol times, the historical weather data, and the historical device states; The patrol requirement of each sub-line included in the target distribution line under different weather conditions is determined by using the target network model.

4. The method according to claim 1, characterized in that: After generating a standard patrol task package of a target duration for the sub-route based on the target weather data at the target time, the patrol demand, and the line element units included in the sub-route, the method further includes at least one of the following: Determine the target patrol requirement of the standard patrol task package, determine the level configuration of the patrol object for executing the standard patrol task package, and determine the target patrol object for executing the standard patrol task package from the patrol objects based on the target patrol requirement and the level configuration; Acquire the execution progress of the standard patrol task package in real time, and display the standard patrol task package and the execution progress in the target form on the target interface; Acquire the device status of each device included in the sub-route and the weather change information at the target time in real time, and adjust the standard patrol task package based on the device status and the weather change information; Divide the standard patrol task package into work task packages according to the target duration, determine the actual duration used by the target object to execute the work task package, and adjust the prescribed duration for executing the work task package based on the actual duration; Determine the task number of the standard patrol task package, obtain the unlocking time and locking time of the target lock required for executing the standard patrol task package, and monitor the standard patrol task package based on the unlocking time and the locking time; Sending the standard patrol task package to a mobile terminal of a target patrol object for executing the standard patrol task package, and adjusting the standard patrol task package based on a multimedia file collected by the mobile terminal and the multimedia file; A generation instruction for generating an execution ticket input through a target interface is received, and the execution ticket corresponding to the standard patrol task package is generated based on the generation instruction.

5. The method according to claim 1, characterized in that The method further comprises at least one of the following: Counting the target number of patrol tasks performed by patrol personnel who are used to perform patrol tasks, and patrol results of performing the patrol tasks, and determining the workload of the patrol personnel based on the target number and the patrol results; Connect to a target geographic system, obtain a layout included in the target geographic system, generate a single-line diagram of a target area based on the layout, obtain area data of the target area in real time, and update the single-line diagram based on the area data.

6. A distribution line management device, characterized in that: include: An acquisition module is used to acquire historical patrol data of a target distribution line; A first determination module is used to determine the historical inspection time included in the historical inspection data, the historical weather data at the historical inspection time, and the historical device status; A second determination module is used to determine the inspection requirements of each sub-circuit included in the target distribution line under different weather conditions based on the historical inspection time, the historical weather data and the historical equipment status; A management module is used to generate a standard patrol task package of a target duration for the sub-route based on target weather data at a target time, the patrol demand, and the route element units included in the sub-route.

7. A distribution line management system, characterized in that: include: The device as claimed in claim 6.

8. A computer-readable storage medium, characterized in that: The computer-readable storage medium stores a computer program, wherein the computer program is configured to execute the method according to any one of claims 1 to 5 when executed.

9. An electronic device comprising a memory and a processor, characterized in that: A computer program is stored in the memory, and the processor is configured to run the computer program to perform the method according to any one of claims 1 to 5.

10. A computer program product, comprising a computer program, characterized in that When the computer program is executed by a processor, the steps of the method described in any one of claims 1 to 5 are implemented.

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