Power distribution network-based uninterrupted work simulation method, system and equipment and medium

Abstract

The invention discloses a power distribution network-based uninterrupted work simulation method and system, computer equipment and a storage medium, and the method comprises the steps: collecting the work data of a power distribution network work project site in real time, carrying out the preprocessing, and constructing a three-dimensional dynamic simulation platform; the simulation work is monitored in real time based on a three-dimensional dynamic simulation platform, and operators participating in the simulation work are scored based on a comprehensive scoring formula; performing difference analysis on the basis of the acquired scores of all the operators, and generating a personalized optimization suggestion corresponding to each operator on the basis of a difference analysis result; historical operation data are acquired regularly, and the standard operation value and the parameter range of simulation operation are automatically adjusted. According to the scheme, the problems of incomplete data acquisition, insufficient simulation environment dynamics and insufficient personalized evaluation and optimization in the prior art can be solved, the operation efficiency and safety of operators are effectively improved, and meanwhile, the operation level of the operators is improved.

Description

Technical Field

[0001] The present application relates to the technical field of power systems, and in particular to a method, system, computer equipment and storage medium for simulating uninterrupted operation based on a distribution network. Background Art

[0002] With the development of the power system, the distribution network, as a key link in power transmission, has increasingly higher requirements for reliability and operating efficiency. Traditional distribution network maintenance usually requires power outages, which not only affects the normal electricity demand of users, but also causes economic losses. Therefore, non-stop operation technology has gradually become a research hotspot in the power industry. By performing equipment maintenance and inspection under energized conditions, it can not only reduce the impact on power users, but also improve the continuity of power supply. At this stage, non-stop operations usually rely on manual operation and operation experience, which requires high skills and experience of operators, and may lead to operational risks if they are not careful. In addition, with the increasing complexity of distribution network equipment, the environmental variability and potential dangerous factors at the operation site increase, which makes manual operations have safety hazards. Therefore, how to improve the intelligence level of non-stop operations through scientific and technological means, reduce the workload of operators, and improve the accuracy and safety of operations has become an urgent problem to be solved in related fields.

[0003] The existing technology has proposed a simulation training method for non-stop power supply operations, which has improved the efficiency and safety of operations to a certain extent, but there are still many limitations. Most of the current operation processes lack real-time collection and analysis of on-site data, making it difficult to comprehensively and timely evaluate changes in the operating environment and the difficulty of operations, resulting in increased operational risks. The existing non-stop power supply operation simulation method is usually based on static data models or historical experience, which makes the performance of operators in actual operations inconsistent with the simulation training results. In addition, the existing technology still remains in the traditional assessment method in terms of operator capability assessment and training, making it difficult to accurately assess the individual performance and differences of each operator, resulting in insufficient personalized training. Therefore, how to accurately simulate non-stop power supply operations through real-time data collection and simulation technology, and use intelligent systems to comprehensively evaluate and optimize operator training, has become a technical problem that needs to be solved urgently.

[0004] The preceding description is intended to provide general background information and does not necessarily constitute prior art. Summary of the invention

[0005] Based on this, the present application provides a method, system, computer equipment and storage medium for simulating non-stop power supply operation based on a distribution network, so as to solve the problems of incomplete data collection, insufficient dynamic simulation environment and insufficient personalized evaluation and optimization in the existing non-stop power supply operation simulation technology.

[0006] In a first aspect, the present application provides a method for simulating non-stop operation based on a distribution network, comprising:

[0007] Collect the operation data of the distribution network operation project site in real time, pre-process it, and build a three-dimensional dynamic simulation platform based on the pre-processed operation data;

[0008] Real-time monitoring of the simulated operation based on the three-dimensional dynamic simulation platform, and scoring of operators participating in the simulated operation based on a pre-built comprehensive scoring formula;

[0009] Perform difference analysis based on the collected scores of all operators and generate difference analysis results;

[0010] Generating personalized optimization suggestions corresponding to each operator based on the difference analysis results;

[0011] The historical operation data is obtained regularly to automatically adjust the standard operation value and parameter range of the simulation operation.

[0012] Optionally, in some embodiments of the present application, the real-time collection of operation data at the distribution network operation project site includes:

[0013] Installing sensor equipment on the target equipment at the distribution network operation project site, collecting operating environment data in real time based on the sensor equipment, the distribution network operation site includes an operating area and a dangerous area, and the operating environment data includes temperature data, wind speed data, humidity data of the collection area and the voltage value of the target equipment;

[0014] An unmanned aerial vehicle equipped with a GPS positioning tool and a camera is used to collect operation line data on site of the distribution network operation project. The operation line data includes the target collection position of the collection area and its corresponding image data. The target collection position includes the line equipment position and the high-altitude operation point position.

[0015] Optionally, in some embodiments of the present application, the preprocessing includes:

[0016] Removing high-frequency noise from the working data by using a Kalman filter method;

[0017] Completing missing data of the working data by linear interpolation;

[0018] Identify and remove abnormal data in the working data by using a Z-score detection method;

[0019] The working data is standardized and formatted.

[0020] Optionally, in some embodiments of the present application, the step of constructing a three-dimensional dynamic simulation platform based on the preprocessed operation data includes:

[0021] Write the main program information script based on project requirements and set the environmental parameters of the 3D dynamic simulation platform;

[0022] Inputting the preprocessed operation data into the three-dimensional modeling software, and determining the reference point, the ground reference plane and the reference line based on the operation data;

[0023] According to the physical drawings and dimension data of the equipment corresponding to the project, use standard geometric bodies to perform 3D modeling on each equipment and generate the corresponding 3D static model;

[0024] Based on the tool classification results and tool information corresponding to the actual operation requirements, a three-dimensional dynamic model corresponding to the operation tool is established according to the actual size of each operation tool;

[0025] According to the classification information of operators, construct the corresponding three-dimensional dynamic models of different types of operators;

[0026] Binding and adjusting the operation data with the three-dimensional static model;

[0027] Write scene construction scripts to define the content in the virtual operation scene;

[0028] Importing the three-dimensional static model and the three-dimensional dynamic model into the graphics development software, so as to create a corresponding virtual operation scene by loading the scene construction script through the graphics development software;

[0029] The virtual operation scene is integrated into a pre-built three-dimensional distribution network operation scene library.

[0030] Optionally, in some embodiments of the present application, the real-time monitoring of the simulated operation based on the three-dimensional dynamic simulation platform and scoring of operators participating in the simulated operation based on a pre-built comprehensive scoring formula include:

[0031] After the user selects the corresponding virtual operation scene according to the operation requirements to perform simulation operation, roles are assigned to different users;

[0032] After all users are assigned roles, a job script is provided to an operator through the three-dimensional dynamic simulation platform, so that the operator performs a simulation job according to the job script;

[0033] Real-time collection and analysis of the operator's operation process for each step of the simulated operation;

[0034] Define the standard operation value of each step in the simulation operation according to the operation requirements, analyze and compare the actual operation value of the operator based on the standard operation value through the 3D dynamic simulation platform, and obtain the operation completion degree of each step of the operator;

[0035] Calculate the environmental difficulty value in each step based on the real-time collected working environment data;

[0036] Calculate the operator's overall operation accuracy score for all steps based on the operator's completion of the work at each step;

[0037] The 3D dynamic simulation platform records the operator's operation time during the simulated operation and determines the actual time it takes the operator to complete each step in the simulated operation;

[0038] Calculate the operator's total time efficiency score for all steps based on the operator's actual time to complete each step and set the standard time for each step;

[0039] The operator's operating behavior is monitored through cameras, and the operator's safety violations are recorded. Combined with the maximum number of violations set for each step, the operator's total safety compliance score for all steps is calculated;

[0040] A comprehensive scoring formula is constructed to calculate the comprehensive scores of the operator for all steps in the simulation job.

[0041] Optionally, in some embodiments of the present application, performing difference analysis based on the collected scores of all operators to generate difference analysis results includes:

[0042] Collect and rank the comprehensive scores of each operator;

[0043] The operators with the highest and lowest comprehensive scores were selected to conduct difference analysis on different dimensions to obtain the difference analysis results corresponding to the two operators. The different dimensions included the completion degree, completion time and number of safety violations in each step.

[0044] Optionally, in some embodiments of the present application, generating a personalized optimization suggestion corresponding to each operator based on the difference analysis result includes:

[0045] Based on historical operation data, set the expected baseline for operation completion, expected baseline for completion time, and expected baseline for safety and compliance for each step;

[0046] If it is determined that the operator's work completion degree in any step is lower than the expected work completion degree baseline, an operation training plan and tool use guidance for the step are generated;

[0047] If it is determined that the operator's completion time in any step is higher than the expected completion time baseline, an operation training plan for the step is generated;

[0048] If it is determined that the number of safety violations committed by the operator in any step is higher than the safety compliance expectation baseline, a safety operation plan corresponding to the step is generated.

[0049] In a second aspect, the present application provides a non-stop operation simulation system based on a distribution network, comprising:

[0050] A construction module is used to collect the operation data of the distribution network operation project site in real time, perform preprocessing, and build a three-dimensional dynamic simulation platform based on the preprocessed operation data;

[0051] A scoring module, used for real-time monitoring of simulation operations based on the three-dimensional dynamic simulation platform, and scoring operators participating in the simulation operations based on a pre-built comprehensive scoring formula;

[0052] An analysis module, used for performing difference analysis based on the collected scores of all operators and generating difference analysis results;

[0053] A suggestion module, used for generating personalized optimization suggestions corresponding to each operator based on the difference analysis results;

[0054] The adjustment module is used to periodically obtain historical operation data and automatically adjust the standard operating value and parameter range of the simulated operation.

[0055] In a third aspect, the present application provides a computer device including a memory and a processor, wherein the memory stores a computer program, and when the processor executes the computer program, the steps of the method for simulating non-stop operation based on a distribution network as described in the first aspect are implemented.

[0056] In a fourth aspect, the present application provides a computer-readable storage medium having a computer program stored thereon, and when the computer program is executed by a processor, the steps of the method for simulating non-stop operation of a distribution network based on the first aspect are implemented.

[0057] The present application provides a method, system, computer equipment and storage medium for simulating non-stop power supply based on distribution network. The method comprises: collecting the operation data of the distribution network operation project site in real time and then pre-processing it, and building a three-dimensional dynamic simulation platform based on the pre-processed operation data; monitoring the simulation operation in real time based on the three-dimensional dynamic simulation platform, and scoring the operators participating in the simulation operation based on the pre-constructed comprehensive scoring formula; performing difference analysis based on the scores of all operators collected to generate difference analysis results; generating personalized optimization suggestions corresponding to each operator based on the difference analysis results; and obtaining historical operation data regularly to automatically adjust the standard operation value and parameter range of the simulation operation. In the non-stop power supply simulation scheme based on distribution network provided by the present application, by constructing a three-dimensional dynamic simulation platform, a high-precision and interactive virtual operation scene is realized, so that the operator can be trained in a realistic environment, and a comprehensive evaluation is carried out through a comprehensive scoring formula. Through difference analysis and personalized optimization suggestions, the operator is helped to improve the operation skills in a targeted manner, and the existing non-stop power supply operation simulation technology has the problems of incomplete data collection, insufficient dynamic simulation environment, and insufficient personalized evaluation and optimization, which significantly improves the operation efficiency and safety of the operator, and at the same time improves the operation level of the operator. BRIEF DESCRIPTION OF THE DRAWINGS

[0058] In order to more clearly illustrate the embodiments of the present application or the technical solutions in the prior art, the drawings required for use in the embodiments or the description of the prior art will be briefly introduced below. Obviously, the drawings described below are only some embodiments of the present application. For ordinary technicians in this field, other drawings can be obtained based on these drawings without paying creative work.

[0059] in:

[0060] Figure 1 It is a flow chart of a method for simulating non-stop operation of a distribution network provided in an embodiment of the present application;

[0061] Figure 2 It is a schematic diagram of the process of constructing a three-dimensional model provided in an embodiment of the present application;

[0062] Figure 3 It is a structural diagram of a non-stop operation simulation system based on a distribution network provided in an embodiment of the present application;

[0063] Figure 4 It is a structural schematic diagram of the computer device provided by this application. DETAILED DESCRIPTION

[0064] The following will be combined with the drawings in the embodiments of the present application to clearly and completely describe the technical solutions in the embodiments of the present application. Obviously, the described embodiments are only part of the embodiments of the present application, not all of the embodiments. Based on the embodiments in the present application, all other embodiments obtained by ordinary technicians in this field without creative work are within the scope of protection of this application.

[0065] It should be noted that, in this article, the terms "include", "comprises" or any other variants thereof are intended to cover non-exclusive inclusion, so that a process, method, article or device including a series of elements includes not only those elements, but also includes other elements not explicitly listed, or also includes elements inherent to such process, method, article or device. In the absence of further restrictions, an element defined by the sentence "includes a ..." does not exclude the existence of other identical elements in the process, method, article or device including the element. In addition, components, features, and elements with the same name in different embodiments of the present application may have the same meaning or different meanings, and their specific meanings need to be determined by their explanation in the specific embodiment or further combined with the context of the specific embodiment.

[0066] It should be understood that the specific embodiments described herein are only used to explain the present application and are not used to limit the present application.

[0067] In the subsequent description, the suffixes such as "module", "component" or "unit" used to represent elements are only used to facilitate the description of the present application, and have no specific meanings. Therefore, "module", "component" or "unit" can be used in a mixed manner.

[0068] The present application provides a method, system, computer equipment and storage medium for simulating non-stop operation based on a distribution network.

[0069] Among them, the non-stop power supply simulation system based on the power distribution network provided by the present application can be integrated in a computer device, which can be directly or indirectly connected to the computer device through wired or wireless communication. The computer device can be a smart phone, a tablet computer, a laptop computer, a desktop computer, a smart speaker or a smart watch, etc., but is not limited to this. In addition, the computer device can also be connected to a server, which can be an independent physical server, or a server cluster or distributed system composed of multiple physical servers, or a cloud server that provides basic cloud computing services such as cloud services, cloud databases, cloud computing, cloud functions, cloud storage, network services, cloud communications, middleware services, domain name services, security services, CDN, and big data and artificial intelligence platforms. This application does not limit this.

[0070] The present application discloses a method for simulating non-stop work based on a distribution network, comprising: collecting operation data of a distribution network operation project site in real time and then preprocessing it, and building a three-dimensional dynamic simulation platform based on the preprocessed operation data; monitoring the simulated operation in real time based on the three-dimensional dynamic simulation platform, and scoring operators participating in the simulated operation based on a pre-built comprehensive scoring formula; performing a difference analysis based on the collected scores of all operators to generate a difference analysis result; generating personalized optimization suggestions corresponding to each operator based on the difference analysis result; and periodically acquiring historical operation data to automatically adjust the standard operation value and parameter range of the simulated operation.

[0071] See also Figure 1 , Figure 1 A schematic diagram of the flow chart of the method for simulating the operation of a power distribution network without power outages provided in this application. The specific flow chart of the method for simulating the operation of a power distribution network without power outages can be as follows:

[0072] S1. Collect the operation data of the distribution network operation project site in real time and pre-process it, and build a three-dimensional dynamic simulation platform based on the pre-processed operation data;

[0073] Specifically, for step S1, the main task is to collect the operation data of the distribution network operation project site in real time, including the operation environment data and the operation line data, and transmit the collected operation data to the central control system through the data integration system. After the operation data is preprocessed, a corresponding three-dimensional dynamic simulation platform is constructed based on the preprocessed operation data.

[0074] S2. Monitor the simulated operation in real time based on the 3D dynamic simulation platform, and score the operators participating in the simulated operation based on the pre-built comprehensive scoring formula;

[0075] Specifically, for step S2, the constructed three-dimensional dynamic simulation platform monitors the operator's operation data in real time during the simulated operation, so that all operators participating in the simulated operation are scored separately based on the pre-constructed comprehensive scoring formula to obtain a comprehensive score for each operator in this simulated operation.

[0076] S3. Perform difference analysis based on the collected scores of all operators to generate difference analysis results;

[0077] Specifically, for step S3, the comprehensive scores of all operators are collected and sorted, and the operators with the highest and lowest comprehensive scores are selected. The two operators are subjected to differential analysis in different dimensions to obtain the performance differences of the two operators in different dimensions and generate differential analysis results. By comparing high-scoring and low-scoring operators, it is clear to identify which factors can distinguish the performance of operators. For example, if a high-scoring operator can still maintain efficient operation in a complex environment, while a low-scoring operator performs poorly, it means that environmental coping ability is the main influencing factor, and the focus can be placed on this aspect for improvement; by comprehensively comparing high-scoring and low-scoring operators, not only can the shortcomings of low-scoring operators be found, but also the operating steps or workflows that affect performance can be revealed.

[0078] S4. Generate personalized optimization suggestions for each operator based on the difference analysis results;

[0079] Specifically, for step S4, through the difference analysis results, the key differences between high-scoring and low-scoring operators in dimensions such as job completion, time efficiency, and safety compliance can be effectively identified, thereby accurately locating the improvement direction of each operator and generating personalized optimization suggestions for each operator, making personalized optimization suggestions more targeted and helping operators receive intensive training in their weak links.

[0080] S5. Regularly obtain historical operation data to automatically adjust the standard operating values ​​and parameter ranges of simulated operations;

[0081] Specifically, corresponding to step S5, all data are stored in the database by classification according to the work items, and the data in the simulated operation are generated regularly based on all the data for adjustment. The standard operating values ​​and the ideal environmental parameter values ​​are automatically adjusted according to the historical operation data, and the expected baseline is automatically adjusted according to the operator's simulated performance.

[0082] It can be seen that the non-stop work simulation method based on the distribution network provided in this embodiment realizes a high-precision, interactive virtual work scene by constructing a three-dimensional dynamic simulation platform, so that operators can be trained in a realistic environment and comprehensively evaluated through a comprehensive scoring formula. Through difference analysis and personalized optimization suggestions, it helps operators to improve their work skills in a targeted manner, and solves the problems of incomplete data collection, insufficient dynamic simulation environment, and insufficient personalized evaluation and optimization in the existing non-stop work simulation technology, significantly improves the operator's work efficiency and safety, and at the same time improves the operator's work level.

[0083] Optionally, in some embodiments, the “real-time collection of operation data at the distribution network operation project site” in step S1 may specifically include:

[0084] Install sensor equipment on the target equipment at the distribution network operation project site, and collect the working environment data in real time based on the sensor equipment. The distribution network operation site includes the working area and the dangerous area. The working environment data includes the temperature data, wind speed data, humidity data of the collection area and the voltage value of the target equipment;

[0085] Use drones equipped with GPS positioning tools and cameras to collect operation line data on-site for distribution network operation projects. The operation line data includes the target collection positions in the collection area and their corresponding image data. The target collection positions include the line equipment positions and the high-altitude operation point positions.

[0086] Specifically, for the real-time collection of operation data at the distribution network operation project site in step S1, the distribution network operation site includes the operation area and the dangerous area. The operation area refers to the area where the operator is allowed to enter and operate in order to perform the distribution network non-stop operation, including the pole climbing operation area, the ground operation area and the cable laying area; the dangerous area refers to the area where there is potential danger in the operation environment and the operator is not allowed to enter without appropriate protective measures or authorization, including the high-voltage live area, the internal area of ​​the transformer station and the high-altitude operation area. The operation data mainly includes the operation environment data and the operation line data, wherein the operation environment data is collected mainly by installing sensor equipment on the relevant equipment at the operation project site of the distribution network, and collecting the operation environment data in real time. The operation environment data includes the temperature data, wind speed data, humidity data and voltage value of the relevant equipment in the collection area; the operation line data is collected mainly by installing GPS positioning tools and high-precision cameras on drones, using drones to conduct a comprehensive scan of the operation project site, and collecting operation line data. The operation line data includes the location of the line equipment in the collection area and the location of the high-altitude operation point and the corresponding image data.

[0087] In addition, after the operation data is collected, it also includes transmitting the collected operation data to the central control system through the data integration system; the data integration system is a tool for integrating, processing and transmitting various data collected from multiple sensors, equipment and data sources to the central control system.

[0088] This embodiment collects the operating environment data and line data of the distribution network operation site in real time, and uses drones and sensor equipment for comprehensive scanning and monitoring, so as to comprehensively and accurately obtain key data such as temperature, wind speed, humidity, voltage, etc. in the operating area. The data integration system integrates and transmits the collected data to the central control system, realizes real-time monitoring and dynamic analysis of the operation site, ensures the safety, accuracy and efficiency of the operation, reduces the risk of manual operation, and provides reliable data support for subsequent decision-making and scheduling.

[0089] Optionally, in some embodiments, the “real-time collection and pre-processing of operation data at the distribution network operation project site” in step S1 further includes:

[0090] Removing high-frequency noise from the working data by using a Kalman filter method;

[0091] Completing missing data of the working data by linear interpolation;

[0092] Identify and remove abnormal data in the working data by using a Z-score detection method;

[0093] The working data is standardized and formatted.

[0094] Specifically, this embodiment preprocesses the collected operation data, mainly by removing high-frequency noise in the operation data through Kalman filtering, using linear interpolation to complete missing data and fill in blank areas in the data, identifying and eliminating abnormal data through Z-score detection, and standardizing and formatting the operation data; the formatting process is as follows: the operation line data is entered in the form of WGS84 coordinate system, and the operation environment data is converted and synchronized using the International System of Units.

[0095] This embodiment uses Kalman filtering to remove high-frequency noise, linear interpolation to fill in missing data, and Z-score detection to eliminate abnormal data, which can effectively improve the accuracy and completeness of the operation data, ensure the reliability and continuity of the data, standardize and format the data, especially enter the operation line data into the WGS84 coordinate system, and use the International System of Units for unit conversion and synchronization, which can ensure that data from different sources and formats are integrated and analyzed under unified standards, improve the efficiency and consistency of system data processing, and provide a reliable data foundation for subsequent simulation and optimization.

[0096] Optionally, in some embodiments, the “building a three-dimensional dynamic simulation platform based on the preprocessed operation data” in step S2 may specifically include:

[0097] Write the main program information script based on project requirements and set the environmental parameters of the 3D dynamic simulation platform;

[0098] Input the pre-processed operation data into the 3D modeling software, and determine the benchmark reference points, ground reference planes and benchmark lines based on the operation data;

[0099] According to the physical drawings and dimension data of the equipment corresponding to the project, use standard geometric bodies to perform 3D modeling on each equipment and generate the corresponding 3D static model;

[0100] Based on the tool classification results and tool information corresponding to the actual operation requirements, a three-dimensional dynamic model corresponding to the operation tool is established according to the actual size of each operation tool;

[0101] According to the classification information of operators, construct the corresponding three-dimensional dynamic models of different types of operators;

[0102] Bind and adjust the operation data with the 3D static model;

[0103] Write scene construction scripts to define the content in the virtual operation scene;

[0104] Importing the three-dimensional static model and the three-dimensional dynamic model into the graphics development software, so as to create a corresponding virtual operation scene by loading a scene construction script through the graphics development software;

[0105] Integrate virtual operation scenarios into the pre-built 3D distribution network operation scenario library.

[0106] Specifically, Figure 2 As shown, this embodiment provides a method for constructing a three-dimensional dynamic simulation platform, and the specific process is as follows:

[0107] Constructing a three-dimensional dynamic simulation platform according to the operation data includes writing a main program information script according to the requirements of the project, and setting the environmental parameters of the three-dimensional dynamic simulation platform; wherein the environmental parameters include the unit system of the virtual operation scene, the size of the virtual operation scene and the default view angle, etc.; substituting the pre-processed operation data into the 3DMax software, using the position data in the operation line data, manually marking the position of each device in the virtual operation scene as a reference point, establishing a ground reference plane in the virtual operation scene according to the image data, and drawing the basic path of the line in the operation line data as a reference line; it should be noted that the 3D (three-dimensional) model in this embodiment includes a 3D static model and a 3D dynamic model, the 3D static model is usually a non-interactive background or equipment, and the 3D dynamic model is an interactive or movable object, such as an operator, a tool, etc.; according to the corresponding physical map and size data, each device is three-dimensionally modeled using standard geometry to generate a corresponding 3D static model; various types of equipment include conductors, poles, crossarms, transformers, power lines, mutual inductors, lightning arresters, protection devices, etc.; according to actual operation requirements, the tools to be used are classified, combined with the special tools for non-stop operation of 10kV distribution network Parameter information, usage methods and technical conditions, establish 3D dynamic models of operating tools according to the actual size of each tool; the tools used include insulating tools, metal tools, personal protective equipment, auxiliary safety tools, etc.; according to the type of operating personnel, make 3D dynamic models of different operating personnel; the types of operating personnel include operators and supervisors; use the material editor to adjust the details and materials of each 3D model through image data; bind the operating environment data to the 3D static model, use the model tool provided by 3DMax software to detect the error state of the 3D static model, and use the repair tool to manually correct it; the error state of the 3D static model includes geometric errors, topological errors, normal errors, UV mapping errors, etc.; write a scene construction script to define the content in the virtual operating scene; the content in the virtual operating scene includes the position, size, material and lighting settings of the 3D model; import the generated 3D model into Unity software, define the type of operation according to the requirements of the project, and use Unity software to create the corresponding virtual operating scene by loading the scene construction script; establish a three-dimensional scene library for distribution network operations, and integrate all the created virtual operating scenes into the three-dimensional scene library for distribution network operations.

[0108] This embodiment constructs a three-dimensional dynamic simulation platform to accurately simulate the environment and operation process of non-stop operation of the distribution network, uses pre-processed operation data to generate high-precision 3D models, and combines virtual operation scenes and interactive operations to improve the training effect and operation safety of operators. With the help of dynamic models of tools and equipment, operators can master the operating steps and tool usage methods in actual work in a virtual environment, thereby improving overall operation efficiency, reducing accident risks, and providing reliable technical support for actual operations.

[0109] Optionally, in some embodiments, step S2 of “monitoring the simulated operation in real time based on the three-dimensional dynamic simulation platform, and scoring the operators participating in the simulated operation based on a pre-built comprehensive scoring formula” may specifically include:

[0110] After the user selects the corresponding virtual operation scene according to the operation requirements to perform simulation operation, roles are assigned to different users;

[0111] After all users are assigned roles, the three-dimensional dynamic simulation platform provides the operator with a job script so that the operator can perform the simulation job according to the job script;

[0112] Real-time collection and analysis of the operator's operation process for each step of the simulated operation;

[0113] Define the standard operation value of each step in the simulation operation according to the operation requirements, analyze and compare the actual operation value of the operator based on the standard operation value through the 3D dynamic simulation platform, and obtain the operation completion degree of each step of the operator;

[0114] Calculate the environmental difficulty value in each step based on the real-time collected working environment data;

[0115] According to the operator's completion of each step, the operator's total operation accuracy score for all steps is calculated;

[0116] The 3D dynamic simulation platform records the operator's operation time during the simulated operation and determines the actual time it takes the operator to complete each step in the simulated operation;

[0117] Calculate the operator's total time efficiency score for all steps based on the operator's actual time to complete each step and set the standard time for each step;

[0118] The operator's operating behavior is monitored through cameras, and the operator's safety violations are recorded. Combined with the maximum number of violations set for each step, the operator's total safety compliance score for all steps is calculated;

[0119] A comprehensive scoring formula is constructed to calculate the comprehensive scores of the operator for all steps in the simulation job.

[0120] Specifically, for step S2, the simulation operation is mainly monitored in real time and a comprehensive scoring formula is constructed to score the operators participating in the simulation operation. The specific process is as follows: the user selects the corresponding virtual operation scene for simulation operation according to the operation requirements. Different users will be assigned roles for each simulation operation. Role assignment refers to assigning multiple roles to different users for simulation operation. Different roles have different tasks. The roles in this embodiment include operators and supervisors. The operator is responsible for performing specific equipment operations, such as climbing poles, equipment connection and line maintenance. The supervisor is responsible for monitoring the operator's behavior to ensure that every action of the operator complies with safety regulations and promptly reminds of violations; after all users are assigned to roles, the operation script is provided to the operator through the three-dimensional dynamic simulation platform, and the operator performs the simulation operation according to the operation script; by installing sensors, the operation process of each step of the operator's simulation operation is collected and analyzed in real time; installing sensors refers to installing corresponding sensors on the operator's hands and tools, including motion capture sensors, GPS, force sensors and cameras;

[0121] According to the operation requirements, the standard operation value of each step in the simulation operation is defined. The 3D dynamic simulation platform analyzes the actual operation value of the operator based on the standard operation value and compares it to obtain the operation completion degree of each step of the operator. The formula is:

[0122]

[0123] Among them, P i,t represents the completion degree of the i-th operator in step t, K i,t represents the actual operation value of the i-th operator in step t, K b,t Indicates the standard operating value in step t according to the job requirements; the standard operating value is a clearly defined value for the ideal or expected performance of a job or operation. These standards are based on experience, industry specifications, or are set based on historical best operating data. The standard operating value includes angles, distances, and forces during equipment operation.

[0124] According to the real-time collected working environment data, the environmental difficulty value in each step is calculated. The formula is:

[0125]

[0126] Among them, D i,t represents the environmental difficulty coefficient of the i-th operator at step t, G t represents the average temperature in step t, G o Indicates the ideal operating temperature, G r Indicates the range of average temperature variation and the tolerance to temperature deviation. The larger the G rIndicates that temperature changes have less impact on operating difficulty, and smaller G r It means that the operation difficulty is more sensitive to temperature changes, W t represents the average value of wind speed in step t, α represents the sensitivity coefficient of wind speed, which indicates the sensitivity of wind speed to the difficulty of operation. The larger the value, the more significant the impact of wind speed increase on the difficulty of operation. This value can be determined by experiments or historical data. t represents the average humidity in step t, H max Indicates the maximum humidity, V t represents the average value of the device voltage in step t, V max Indicates the maximum allowable voltage value of the device voltage, usually preset according to the device specifications or safety standards;

[0127] The ideal operating temperature refers to the ideal temperature that is considered to be the most comfortable, safe and efficient for the operator in the working environment. The temperature value is set according to industry standards or empirical values. When the temperature is too high or too low, the difficulty of operation will increase significantly. The tanh function is used to represent this nonlinear effect, reflecting the impact of temperature gradually deviating from the optimal value on the difficulty of operation. The use of an exponential decay function to describe the effect of wind speed reflects the cumulative effect of wind speed on the difficulty of operation, that is, the effect is small at lower wind speeds, but when the wind speed reaches a certain level, the difficulty of operation will increase significantly. The square of humidity is used to represent the nonlinear effect of humidity on difficulty. The higher the humidity, the greater the difficulty, especially in a high humidity environment. The higher the voltage, the greater the danger of operation, so the impact of voltage can be represented by a simple linear relationship.

[0128] According to the operator's job completion of each step, the operator's total operation accuracy score for all steps is calculated:

[0129]

[0130] Among them, A i,n represents the total operation accuracy score of the ith operator in all steps, n represents the number of all steps in the simulation operation, P i,t represents the completion degree of the i-th operator in step t, D i,t represents the environmental difficulty coefficient of the i-th operator at step t, D t,max represents the maximum value of the environmental difficulty value in step t;

[0131] When the operator is simulating the operation, the 3D dynamic simulation platform records the operator's operation time and obtains the actual time the operator takes to complete each step in the simulated operation; according to the actual time the operator takes to complete each step, the standard time for each step is set, and the total time efficiency score of all the operator's steps is calculated. The formula is:

[0132]

[0133] Among them, T i,n represents the total time efficiency score of the ith operator in all steps, n represents the number of all steps in the simulation job, T i,t represents the actual time taken by the i-th operator to complete step t, T x,t represents the standard time to complete step t, and λ represents the time efficiency decay factor, which is used to control the decrease in efficiency score after exceeding the standard time;

[0134] The supervisor is responsible for monitoring the operator's operating behavior through the camera, and records the operator's safety violations, sets the maximum number of violations for each step, and calculates the operator's total safety compliance score for all steps. The formula is:

[0135]

[0136] Among them, S i,n represents the total safety compliance score of all steps of the ith operator, n represents the number of all steps in the simulated operation, V i,t represents the number of safety violations committed by the ith operator in step t, C f,t represents the maximum number of violations in step t;

[0137] A comprehensive scoring formula is constructed to calculate the comprehensive scores of the operator in all steps of the simulation operation. The formula is:

[0138] Bi,n=Ai,n+Ti,n+Si,n

[0139] Among them, B i,n Represents the comprehensive score of all steps of the ith operator in the simulation job.

[0140] This embodiment uses the above process of constructing a comprehensive scoring formula to evaluate the operator's personal operating performance and the supervisor's supervisory operation from multiple dimensions, improves the single-dimensional or linear processing in the prior art, and provides a more complex and accurate scoring method. This improvement can better adapt to the operating requirements in actual complex scenarios, ensuring that the performance of each trainee can be comprehensively and reasonably evaluated. By comprehensively scoring the operator's performance in simulated operations in multiple dimensions, an accurate and systematic evaluation mechanism is constructed, which greatly improves the ability to analyze the operator's performance. The comprehensive scoring system combines key factors such as job completion, environmental difficulty, time efficiency, and safety compliance, breaking through the limitations of traditional single-dimensional or simple linear processing, and providing a more complex and comprehensive evaluation method. The scoring of job completion can accurately reflect the operator's execution in each step by comparing the actual operation value with the standard operation value, ensuring the accuracy and standardization of the operation. The environmental difficulty value of each step is calculated through real-time collected environmental data, and the impact of the complex environment on the operation difficulty is quantified as part of the score, fully considering the impact of the complexity of the operating environment on the operator's performance. Through this method, the operator's ability to cope with different environments can be objectively evaluated, thereby providing data support for improvements and optimizations in the operation process. The time efficiency scoring formula further strengthens the efficiency evaluation of the operation process by comparing the operator's actual operation time with the standard operation time. The time efficiency score can not only identify the operator's work rhythm, but also help managers find bottlenecks or redundant parts in the operation process, thereby providing a basis for optimizing operation time management. Safety compliance is an important dimension in operation. By recording and calculating violations, it ensures that operators can comply with safety regulations in simulated operations. The maximum number of violations for each step is set. Operations that exceed this standard will affect the total score, thereby prompting operators to pay more attention to safety issues and reduce the occurrence of violations. By constructing a multi-dimensional comprehensive scoring formula, the system can simultaneously evaluate the operator's technical level, environmental adaptability, efficiency and safety. Compared with the traditional single-dimensional evaluation method, this more complex and accurate scoring method can better reflect the operator's performance in actual complex scenarios, which helps managers to more reasonably formulate personalized training plans for operators and improve the skill level of the overall operation team.

[0141] Optionally, in some embodiments, step S3 of "performing a difference analysis based on the collected scores of all operators to generate a difference analysis result" may specifically include:

[0142] Collect and rank the comprehensive scores of each operator;

[0143] The operators with the highest and lowest comprehensive scores were selected to conduct difference analysis on different dimensions, and the difference analysis results corresponding to the two operators were obtained. The different dimensions included the completion degree, completion time and number of safety violations in each step.

[0144] Specifically, for step S3, specifically, collecting the scores of all operators for difference analysis and providing personalized optimization suggestions refers to collecting the comprehensive score of each operator, and sorting the comprehensive scores of all operators, selecting the operator with the highest and the lowest comprehensive score, and performing difference analysis on the two operators in different dimensions to obtain the performance difference between the two operators in different dimensions; the different dimensions include comparing the job completion, the number of safety violations and the completion time of the two operators in each step.

[0145] This embodiment clearly identifies which factors can distinguish the performance of operators by comparing high-scoring and low-scoring operators. For example, if a high-scoring operator can still maintain efficient operation in a complex environment, while a low-scoring operator performs poorly, it means that environmental coping ability is the main influencing factor, and the focus can be placed on this aspect for improvement. Through a comprehensive comparison between high-scoring and low-scoring operators, not only can the shortcomings of low-scoring operators be found, but also the operating steps or workflows that affect performance can be revealed. High-scoring operators may show higher efficiency or stronger coping ability in certain steps, while low-scoring operators may perform poorly in the same steps. Through these comparisons, areas for improvement can be found more accurately.

[0146] Optionally, in some embodiments, step S4 “generating personalized optimization suggestions corresponding to each operator based on the difference analysis results” may specifically include:

[0147] Based on historical operation data, set the expected baseline for operation completion, expected baseline for completion time, and expected baseline for safety and compliance for each step;

[0148] If it is determined that the operator's work completion degree in any step is lower than the expected work completion degree baseline, an operation training plan and tool use guidance for this step are generated;

[0149] If it is determined that the operator's completion time in any step is higher than the expected completion time baseline, an operation training plan for the step is generated;

[0150] If it is judged that the number of safety violations committed by the operator in any step is higher than the safety compliance expectation baseline, a safety operation plan corresponding to the step is generated.

[0151] Specifically, for step S4, the operation completion degree, completion time and safety compliance expectation baseline of each step are set according to the historical operation data, and personalized optimization suggestions are provided for each operator; if the operator's operation completion degree in the step is lower than the expected baseline of the operation completion degree, a training plan and tool use guidance for the step are proposed, otherwise, no operation is performed; if the operator's completion time in the step is higher than the expected baseline of the completion time, targeted operation training for the step is provided to the operator, otherwise, no operation is performed; if the number of safety violations of the operator in the step is higher than the expected baseline of safety compliance, a safety operation improvement plan is provided, otherwise, no operation is performed. In addition, based on the above-mentioned difference analysis results, the difference report can be fed back to the operator and relevant managers as a basis for subsequent training and workflow optimization. The relevant managers adjust the training content according to the personalized optimization suggestions in the difference report and provide targeted reinforcement training.

[0152] Through the above-mentioned difference analysis method, this embodiment can effectively identify the key differences between high-scoring and low-scoring operators in dimensions such as job completion, time efficiency, and safety compliance, so as to accurately locate the improvement direction of each operator. By setting a specific baseline, it not only ensures the objectivity and accuracy of the analysis results, but also makes personalized optimization suggestions more targeted, helping operators to receive intensive training in their weak links. This method provides a clear training basis for management, making the training content more targeted and effective, thereby improving overall operational efficiency and safety.

[0153] Optionally, in some embodiments, step S5 "regularly obtaining historical operation data to automatically adjust standard operating values ​​and parameter ranges for simulated operations" includes storing all data in a database by classifying them according to operation items, regularly generating data in simulated operations based on all data for adjustment, automatically adjusting standard operating values ​​and ideal environmental parameter values ​​based on historical operation data, and automatically adjusting the expected baseline based on the operator's simulated performance.

[0154] This embodiment automatically adjusts standard operating values ​​and ideal environmental parameter values ​​based on historical data on a regular basis, stores all data according to job item categories, and generates simulation data for adjustment. This approach ensures that the system continuously adapts to complex situations in actual operations, automatically adjusts the expected baseline through the operator's simulated performance, and can accurately reflect the operator's actual capabilities and environmental changes, making the optimization plan more targeted and scientific, thereby improving operational efficiency, reducing operational risks, and achieving personalized continuous improvement.

[0155] The above completes the simulation process of non-stop operation based on the distribution network in the embodiment of the present application.

[0156] As described above, the embodiment of the present application provides a method for simulating non-stop work based on a distribution network. First, the operation data of the distribution network operation project site is collected in real time and then preprocessed, and a three-dimensional dynamic simulation platform is constructed based on the preprocessed operation data; then, the simulation operation is monitored in real time based on the three-dimensional dynamic simulation platform, and the operators participating in the simulation operation are scored based on the pre-constructed comprehensive scoring formula; then, a difference analysis is performed based on the scores of all operators collected to generate a difference analysis result; finally, a personalized optimization suggestion corresponding to each operator is generated based on the difference analysis result; in addition, historical operation data is obtained regularly to automatically adjust the standard operation value and parameter range of the simulation operation. In the non-stop work simulation scheme based on the distribution network provided in this embodiment, by constructing a three-dimensional dynamic simulation platform, a high-precision and interactive virtual operation scene is realized, so that the operator can be trained in a realistic environment, and a comprehensive evaluation is performed through a comprehensive scoring formula. Through difference analysis and personalized optimization suggestions, the operator is helped to improve the operation skills in a targeted manner, and the existing non-stop operation simulation technology has the problems of incomplete data collection, insufficient dynamic simulation environment, and insufficient personalized evaluation and optimization, which significantly improves the operator's operation efficiency and safety, and at the same time improves the operator's operation level.

[0157] In order to facilitate the better implementation of the non-stop power supply simulation method based on the distribution network of the embodiment of the present application, the embodiment of the present application also provides a non-stop power supply simulation system based on the distribution network. The meanings of the terms are the same as those in the non-stop power supply simulation method based on the distribution network, and the specific implementation details can refer to the description in the method embodiment.

[0158] See also Figure 3 The embodiment of the present application provides a non-stop operation simulation system based on a distribution network. The non-stop operation simulation system based on a distribution network may specifically include a construction module 201, a scoring module 202, an analysis module 203, a suggestion module 204 and an adjustment module 205, as follows:

[0159] Construction module 201, used for collecting operation data of the distribution network operation project site in real time, preprocessing it, and constructing a three-dimensional dynamic simulation platform based on the preprocessed operation data;

[0160] A scoring module 202, for real-time monitoring of the simulation operation based on the three-dimensional dynamic simulation platform, and scoring the operators participating in the simulation operation based on a pre-built comprehensive scoring formula;

[0161] An analysis module 203 is used to perform a difference analysis based on the collected scores of all operators and generate a difference analysis result;

[0162] A suggestion module 204, for generating personalized optimization suggestions corresponding to each operator based on the difference analysis results;

[0163] The adjustment module 205 is used to periodically obtain historical operation data to automatically adjust the standard operation value and parameter range of the simulation operation.

[0164] Optionally, in some embodiments, the construction module 201 includes a collection unit, and the collection unit includes:

[0165] The operating environment data acquisition subunit is used to install sensor equipment on the target equipment at the distribution network operation project site, and collect the operating environment data in real time based on the sensor equipment. The distribution network operation site includes the operating area and the dangerous area. The operating environment data includes the temperature data, wind speed data, humidity data of the collection area and the voltage value of the target equipment;

[0166] The operation line data collection subunit is used to collect operation line data on-site for distribution network operation projects using a drone equipped with a GPS positioning tool and a camera. The operation line data includes the target collection position in the collection area and its corresponding image data. The target collection position includes the line equipment position and the high-altitude operation point position.

[0167] Optionally, in some embodiments, the construction module 201 includes a preprocessing unit, and the preprocessing unit includes:

[0168] A denoising subunit, used to remove high-frequency noise in the working data by using a Kalman filter method;

[0169] A data completion subunit, used to complete missing data of working data by linear interpolation;

[0170] The anomaly detection subunit is used to identify and remove abnormal data in the working data through the Z-score detection method;

[0171] The format subunit is used to standardize and format the working data.

[0172] Optionally, in some embodiments, the construction module 201 includes a construction unit, which is specifically used to: write a main program information script based on project requirements and set environmental parameters of the three-dimensional dynamic simulation platform; input the preprocessed operation data into the three-dimensional modeling software, and determine the benchmark reference point, ground benchmark plane and benchmark line based on the operation data; use standard geometric bodies to perform three-dimensional modeling on each device according to the physical equipment diagram and size data corresponding to the project, and generate a corresponding three-dimensional static model; based on the tool classification results and tool information corresponding to the actual operation requirements, establish a three-dimensional dynamic model corresponding to the operation tool according to the actual size of each operation tool; construct three-dimensional dynamic models corresponding to different types of operators according to the classification information of the operators; bind and adjust the operation data with the three-dimensional static model; write a scene construction script to define the content in the virtual operation scene; import the three-dimensional static model and the three-dimensional dynamic model into the graphics development software to create the corresponding virtual operation scene by loading the scene construction script through the graphics development software; integrate the virtual operation scene into the pre-built distribution network operation three-dimensional scene library.

[0173] Optionally, in some embodiments, the scoring module 202 is specifically used to: assign roles to different users after the user selects the corresponding virtual operation scene to perform a simulated operation according to the operation requirements; after all users are assigned to roles, provide the operator with a job script through the three-dimensional dynamic simulation platform so that the operator can perform the simulated operation according to the job script; collect and analyze the operation process of each step of the operator's simulated operation in real time; define the standard operation value of each step in the simulated operation according to the operation requirements, analyze the actual operation value of the operator according to the standard operation value through the three-dimensional dynamic simulation platform and compare them to obtain the operation completion degree of each step of the operator; calculate each step according to the real-time collected operation environment data The environment difficulty value in the simulation is calculated; according to the completion degree of each step of the operator, the total operation accuracy score of all the steps of the operator is calculated; the operation time of the operator in the simulated operation is recorded through the three-dimensional dynamic simulation platform to determine the actual time for the operator to complete each step in the simulated operation; according to the actual time for the operator to complete each step and the standard time set for each step, the total time efficiency score of all the steps of the operator is calculated; the operator's operating behavior is monitored and supervised through the camera, and the operator's safety violations are recorded, and the total safety compliance score of all the steps of the operator is calculated in combination with the maximum number of violations set for each step; a comprehensive scoring formula is constructed to calculate the comprehensive score of all the steps of the operator in the simulated operation.

[0174] Optionally, in some embodiments, the analysis module 203 may specifically include:

[0175] A ranking unit, used to collect and rank the comprehensive score of each operator;

[0176] The analysis unit is used to select the operator with the highest and lowest comprehensive scores to perform difference analysis on different dimensions, so as to obtain the difference analysis results corresponding to the two operators. The different dimensions include the completion degree of the work, the completion time and the number of safety violations in each step.

[0177] Optionally, in some embodiments, the suggestion module 204 may specifically include:

[0178] A setting unit, used to set the expected baseline of the degree of completion of each step, the expected baseline of the completion time, and the expected baseline of safety and compliance, respectively, based on the historical operation data;

[0179] A first suggestion unit is used to generate an operation training plan and tool use guidance for any step if it is determined that the operator's work completion degree in any step is lower than the expected work completion degree baseline;

[0180] A second suggestion unit is used to generate an operation training plan for any step if it is determined that the completion time of the operator in any step is higher than the expected completion time baseline;

[0181] The third suggestion unit is used to generate a safety operation plan corresponding to the step if it is determined that the number of safety violation behaviors of the operator in any step is higher than the safety compliance expectation baseline.

[0182] Optionally, in some embodiments, the adjustment module 205 is specifically used to: store all data in a database by classifying them according to work items, regularly generate data in simulated operations based on all data for adjustment, automatically adjust standard operating values ​​and ideal environmental parameter values ​​based on historical work data, and automatically adjust the expected baseline based on the operator's simulated performance.

[0183] As described above, this embodiment provides a non-stop operation simulation system based on a distribution network, wherein the construction module 201 collects the operation data of the distribution network operation project site in real time and performs preprocessing, and constructs a three-dimensional dynamic simulation platform based on the preprocessed operation data; the scoring module 202 monitors the simulation operation in real time based on the three-dimensional dynamic simulation platform, and scores the operators participating in the simulation operation based on a pre-constructed comprehensive scoring formula; the analysis module 203 performs a difference analysis based on the collected scores of all operators and generates a difference analysis result; the suggestion module 204 generates personalized optimization suggestions corresponding to each operator based on the difference analysis result; the adjustment module 205 periodically obtains historical operation data to automatically adjust the standard operation value and parameter range of the simulation operation. In the non-stop work simulation solution based on the distribution network provided in this embodiment, a high-precision, interactive virtual work scene is realized by constructing a three-dimensional dynamic simulation platform, so that operators can be trained in a realistic environment and comprehensively evaluated through a comprehensive scoring formula. Through difference analysis and personalized optimization suggestions, operators are helped to improve their work skills in a targeted manner, and the problems of incomplete data collection, insufficient dynamic simulation environment, and insufficient personalized evaluation and optimization in the existing non-stop work simulation technology are solved, which significantly improves the operator's work efficiency and safety, and at the same time improves the operator's work level.

[0184] In addition, the present application also provides a computer device, such as Figure 4 , which shows a schematic diagram of the structure of the computer device involved in the present application. Specifically, the computer device may include one or more processing core processors 301, one or more computer-readable storage media memories 302, a power supply 303, an input unit 304 and other components. Those skilled in the art can understand that Figure 4 The computer device structure shown in the figure does not constitute a limitation on the computer device, and may include more or fewer components than shown in the figure, or combine certain components, or arrange the components differently. Among them:

[0185] The processor 301 is the control center of the computer device. It uses various interfaces and lines to connect various parts of the entire computer device. By running or executing software programs and / or modules stored in the memory 302 and calling data stored in the memory 302, it executes various functions of the computer device and processes data, thereby monitoring the computer device as a whole. Optionally, the processor 301 may include one or more processing cores; preferably, the processor 301 may integrate an application processor and a modem processor, wherein the application processor mainly processes the operating system, user interface, and application programs, and the modem processor mainly processes wireless communications. It is understandable that the above-mentioned modem processor may not be integrated into the processor 301.

[0186] The memory 302 can be used to store software programs and modules. The processor 301 executes various functional applications and data processing by running the software programs and modules stored in the memory 302. The memory 302 may mainly include a program storage area and a data storage area, wherein the program storage area may store an operating system, an application required for at least one function (such as a sound playback function, an image playback function, etc.), etc.; the data storage area may store data created according to the use of the computer device, etc. In addition, the memory 302 may include a high-speed random access memory, and may also include a non-volatile memory, such as at least one disk storage device, a flash memory device, or other volatile solid-state storage devices. Accordingly, the memory 302 may also include a memory controller to provide the processor 301 with access to the memory 302.

[0187] The computer device also includes a power supply 303 for supplying power to each component. Preferably, the power supply 303 can be logically connected to the processor 301 through a power management system, so that the power management system can manage charging, discharging, and power consumption. The power supply 303 can also include any components such as one or more DC or AC power supplies, recharging systems, power failure detection circuits, power converters or inverters, and power status indicators. The computer device can also include an input unit 304, which can be used to receive input digital or character information and generate keyboard, mouse, joystick, optical or trackball signal input related to user settings and function control.

[0188] Although not shown, the computer device may further include a display unit, etc., which will not be described in detail herein. Specifically in this embodiment, the processor 301 in the computer device will load the executable files corresponding to the processes of one or more application programs into the memory 302 according to the following instructions, and the processor 301 will run the application programs stored in the memory 302, thereby realizing various functions, as follows:

[0189] The operation data of the distribution network operation project site is collected in real time and preprocessed, and a three-dimensional dynamic simulation platform is built based on the preprocessed operation data; the simulation operation is monitored in real time based on the three-dimensional dynamic simulation platform, and the operators participating in the simulation operation are scored based on the pre-built comprehensive scoring formula; a difference analysis is performed based on the scores of all operators collected to generate difference analysis results; personalized optimization suggestions are generated for each operator based on the difference analysis results; historical operation data is obtained regularly to automatically adjust the standard operation values ​​and parameter ranges of the simulation operation.

[0190] The specific implementation of the above operations can be found in the previous embodiments, which will not be described in detail here.

[0191] The embodiment of the present application realizes a high-precision, interactive virtual work scene by constructing a three-dimensional dynamic simulation platform, allowing operators to train in a realistic environment and conduct a comprehensive evaluation through a comprehensive scoring formula. Through difference analysis and personalized optimization suggestions, it helps operators to improve their work skills in a targeted manner, and solves the problems of incomplete data collection, insufficient dynamic simulation environment, and insufficient personalized evaluation and optimization in existing non-stop work simulation technologies, thereby significantly improving the operator's work efficiency and safety, and at the same time improving the operator's work level.

[0192] A person of ordinary skill in the art will appreciate that all or part of the steps in the various methods of the above embodiments may be completed by instructions, or by controlling related hardware through instructions. The instructions may be stored in a computer-readable storage medium and loaded and executed by a processor.

[0193] To this end, the present application provides a storage medium in which a plurality of instructions are stored, and the instructions can be loaded by a processor to execute the steps in any one of the methods for simulating power distribution network operation without power outages provided in the present application. For example, the instructions can execute the following steps:

[0194] The operation data of the distribution network operation project site is collected in real time and preprocessed, and a three-dimensional dynamic simulation platform is built based on the preprocessed operation data; the simulation operation is monitored in real time based on the three-dimensional dynamic simulation platform, and the operators participating in the simulation operation are scored based on the pre-built comprehensive scoring formula; a difference analysis is performed based on the scores of all operators collected to generate difference analysis results; personalized optimization suggestions are generated for each operator based on the difference analysis results; historical operation data is obtained regularly to automatically adjust the standard operation values ​​and parameter ranges of the simulation operation.

[0195] The specific implementation of the above operations can be found in the previous embodiments, which will not be described in detail here.

[0196] The storage medium may include: a read-only memory (ROM), a random access memory (RAM), a magnetic disk or an optical disk, etc.

[0197] Since the instructions stored in the storage medium can execute the steps in any one of the methods for simulating non-stop operation based on a distribution network provided in the present application, the beneficial effects that can be achieved by any one of the methods for simulating non-stop operation based on a distribution network provided in the present application can be achieved. For details, please see the previous embodiments and will not be repeated here.

[0198] According to one aspect of the present application, a computer program product or a computer program is provided, the computer program product or the computer program comprising computer instructions, the computer instructions being stored in a computer-readable storage medium. A processor of a computer device reads the computer instructions from the computer-readable storage medium, and the processor executes the computer instructions, so that the computer device executes the methods provided in the above-mentioned various optional implementations.

[0199] The above is a detailed introduction to a method, system, computer equipment and storage medium for simulating non-stop operation based on a distribution network provided by the present application. This article uses specific examples to illustrate the principles and implementation methods of the present application. The description of the above embodiments is only used to help understand the method of the present application and its core idea; at the same time, for technical personnel in this field, according to the idea of ​​the present application, there will be changes in the specific implementation method and application scope. In summary, the content of this specification should not be understood as a limitation on the present application.

Claims

1. A method for simulating non-stop operation based on a distribution network, characterized in that: include: Collect the operation data of the distribution network operation project site in real time, pre-process it, and build a three-dimensional dynamic simulation platform based on the pre-processed operation data; Real-time monitoring of the simulated operation based on the three-dimensional dynamic simulation platform, and scoring of operators participating in the simulated operation based on a pre-built comprehensive scoring formula; Perform difference analysis based on the collected scores of all operators and generate difference analysis results; Generating personalized optimization suggestions corresponding to each operator based on the difference analysis results; The historical operation data is obtained regularly to automatically adjust the standard operation value and parameter range of the simulation operation.

2. The method for simulating non-stop operation based on a distribution network according to claim 1, characterized in that: The real-time collection of operation data at the distribution network operation project site includes: Installing a sensor device on the target device at the distribution network operation project site, and collecting operating environment data in real time based on the sensor device, wherein the distribution network operation site includes an operating area and a dangerous area, and the operating environment data includes temperature data, wind speed data, humidity data of the collection area, and a voltage value of the target device; An unmanned aerial vehicle equipped with a GPS positioning tool and a camera is used to collect operation line data on site of the distribution network operation project. The operation line data includes the target acquisition position of the acquisition area and its corresponding image data. The target acquisition position includes the line equipment position and the high-altitude operation point position.

3. The method for simulating non-stop operation based on a distribution network according to claim 1, characterized in that: The preprocessing comprises: Removing high-frequency noise from the working data by using a Kalman filter method; Completing missing data of the working data by linear interpolation; Identify and remove abnormal data in the working data by using a Z-score detection method; The working data is standardized and formatted.

4. The method for simulating non-stop operation based on a distribution network according to claim 1, characterized in that: The three-dimensional dynamic simulation platform is constructed based on the pre-processed operation data, including: Write the main program information script based on project requirements and set the environmental parameters of the 3D dynamic simulation platform; Inputting the preprocessed operation data into the three-dimensional modeling software, and determining the reference point, the ground reference plane and the reference line based on the operation data; According to the physical drawings and dimension data of the equipment corresponding to the project, use standard geometric bodies to perform 3D modeling on each equipment and generate the corresponding 3D static model; Based on the tool classification results and tool information corresponding to the actual operation requirements, a three-dimensional dynamic model corresponding to the operation tool is established according to the actual size of each operation tool; According to the classification information of operators, construct the corresponding three-dimensional dynamic models of different types of operators; Binding and adjusting the operation data with the three-dimensional static model; Write scene construction scripts to define the content in the virtual operation scene; Importing the three-dimensional static model and the three-dimensional dynamic model into the graphics development software, so as to create a corresponding virtual operation scene by loading the scene construction script through the graphics development software; The virtual operation scene is integrated into a pre-built three-dimensional distribution network operation scene library.

5. The method for simulating non-stop operation based on a distribution network according to claim 1, characterized in that: The real-time monitoring of the simulated operation based on the three-dimensional dynamic simulation platform and scoring of operators participating in the simulated operation based on a pre-built comprehensive scoring formula include: After the user selects the corresponding virtual operation scene according to the operation requirements to perform simulation operation, roles are assigned to different users; After all users are assigned roles, a job script is provided to an operator through the three-dimensional dynamic simulation platform, so that the operator performs a simulation job according to the job script; Real-time collection and analysis of the operator's operation process for each step of the simulated operation; Define the standard operation value of each step in the simulation operation according to the operation requirements, analyze and compare the actual operation value of the operator based on the standard operation value through the 3D dynamic simulation platform, and obtain the operation completion degree of each step of the operator; Calculate the environmental difficulty value in each step based on the real-time collected working environment data; Calculate the operator's overall operation accuracy score for all steps based on the operator's completion of the work at each step; The 3D dynamic simulation platform records the operator's operation time during the simulated operation and determines the actual time it takes the operator to complete each step in the simulated operation; Calculate the operator's total time efficiency score for all steps based on the operator's actual time to complete each step and set the standard time for each step; The operator's operating behavior is monitored through cameras, and the operator's safety violations are recorded. Combined with the maximum number of violations set for each step, the operator's total safety compliance score for all steps is calculated; A comprehensive scoring formula is constructed to calculate the comprehensive scores of the operator for all steps in the simulation job.

6. The method for simulating non-stop operation based on a distribution network according to claim 1, characterized in that: The difference analysis is performed based on the scores of all operators collected to generate difference analysis results, including: Collect and rank the comprehensive scores of each operator; The operators with the highest and lowest comprehensive scores were selected to conduct difference analysis on different dimensions to obtain the difference analysis results corresponding to the two operators. The different dimensions included the completion degree, completion time and number of safety violations in each step.

7. The method for simulating uninterrupted operation based on a distribution network according to claim 1, characterized in that: Generating personalized optimization suggestions corresponding to each operator based on the difference analysis results includes: Based on historical operation data, set the expected baseline for operation completion, expected baseline for completion time, and expected baseline for safety and compliance for each step; If it is determined that the operator's work completion degree in any step is lower than the expected work completion degree baseline, an operation training plan and tool use guidance for the step are generated; If it is determined that the operator's completion time in any step is higher than the expected completion time baseline, an operation training plan for the step is generated; If it is determined that the number of safety violations committed by the operator in any step is higher than the safety compliance expectation baseline, a safety operation plan corresponding to the step is generated.

8. A non-stop operation simulation system based on a distribution network, characterized in that: include: A construction module is used to collect the operation data of the distribution network operation project site in real time, perform preprocessing, and build a three-dimensional dynamic simulation platform based on the preprocessed operation data; A scoring module, used for real-time monitoring of simulation operations based on the three-dimensional dynamic simulation platform, and scoring operators participating in the simulation operations based on a pre-built comprehensive scoring formula; An analysis module, used for performing difference analysis based on the collected scores of all operators and generating difference analysis results; A suggestion module, used for generating personalized optimization suggestions corresponding to each operator based on the difference analysis results; The adjustment module is used to periodically obtain historical operation data and automatically adjust the standard operating value and parameter range of the simulated operation.

9. A computer device comprising a memory and a processor, wherein a computer program is stored in the memory, wherein: When the processor executes the computer program, the steps of the method for simulating uninterrupted operation based on a distribution network as described in any one of claims 1 to 7 are implemented.

10. A computer-readable storage medium having a computer program stored thereon, characterized in that: When the computer program is executed by a processor, the steps of the method for simulating uninterrupted operation based on a distribution network as claimed in any one of claims 1 to 7 are implemented.

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