VR-based power distribution network maintenance virtual training system and method thereof

Abstract

The invention discloses a VR-based power distribution network maintenance virtual training system and method in the technical field of electric power. A VR-based power distribution network maintenance virtual training system comprises a modeling module, a database module, a training platform module, an operation learning module, a comprehensive training module and a training evaluation module. A three-dimensional virtual environment is created for trainees through the VR technology, so that the trainees can feel the actual operation scene and the fault condition of the power distribution network in an immersive manner; students can deeply understand the structure and the working principle of the power distribution network and various phenomena and details when faults occur from different angles; in the virtual training environment, the trainee can perform various dangerous operations and fault processing exercises without causing any actual threat to the safety of the trainee. In combination with actual cases and data in a power distribution network fault database, the system can intelligently adjust the difficulty of training contents and fault scenes, so that the training contents and the fault scenes are matched with the ability of students.

Description

Technical Field

[0001] The present invention relates to the technical field of electric power, and specifically provides a VR-based virtual training system and method for distribution network maintenance. Background Art

[0002] Traditional distribution network maintenance training usually focuses on classroom lectures of theoretical knowledge. Students learn the structure, principle, and fault types of the distribution network through materials such as books and PPTs. However, this method often leads to the disconnection between theory and actual operation. When students face real fault scenarios, it is difficult for them to quickly convert the learned theoretical knowledge into practical operation skills. Distribution network maintenance work involves dangerous factors such as high-voltage electricity. In actual operation training, even if strict safety measures are taken, it is difficult to completely eliminate safety hazards. For example, when students perform live work or troubleshooting operations, they may cause accidents such as electric shock and short circuit due to improper operation, threatening the personal safety of students.

[0003] Moreover, traditional training requires a large number of actual equipment, venues, and training teachers. Purchasing and maintaining distribution network equipment, renting training venues, and hiring professional training teachers all require a large amount of funds. In addition, the loss and maintenance of equipment during training also increase the training cost. The evaluation of the training effect of traditional training on students is mainly carried out through methods such as examinations and actual operation assessments. The evaluation indicators are relatively single, and it is difficult to comprehensively and accurately reflect the actual skill level and knowledge mastery of students. Moreover, there is a certain degree of subjectivity in the evaluation process, and it is difficult to conduct in-depth analysis of the operation details and problems of students. Summary of the Invention

[0004] Aiming at the deficiencies of the existing technology, the present invention provides a VR-based virtual training system and method for distribution network maintenance, which solves the problems that traditional distribution network maintenance training usually leads to the disconnection between theory and actual operation, and easily threatens the personal safety of students; and traditional training requires a large number of actual equipment, venues, and training teachers, which requires a large amount of funds; in addition, the evaluation of the training effect of traditional training on students is mainly carried out through methods such as examinations and actual operation assessments, and the evaluation indicators are relatively single, and it is difficult to comprehensively and accurately reflect the actual skill level and knowledge mastery of students.

[0005] To achieve the above objectives, the present invention is realized through the following technical solutions: A VR-based virtual training system for distribution network maintenance includes: a modeling module, a database module, a training platform module, an operation learning module, a comprehensive training module, and a training evaluation module;

[0006] The modeling module is used to establish a three-dimensional model library of distribution network equipment;

[0007] The database module is used to collect distribution network fault data;

[0008] The training platform module builds a virtual training system platform for equipment maintenance based on VR by selecting appropriate VR development engines and hardware devices;

[0009] The operation learning module includes a theoretical knowledge learning function and an operation skill training function;

[0010] The comprehensive training module randomly generates various fault scenarios of different types and difficulty levels according to the actual cases in the distribution network fault database;

[0011] The training evaluation module automatically conducts a comprehensive evaluation of the training effect of the trainees after they complete the learning and training of each training module.

[0012] Preferably, the modeling module sorts the built equipment models by category and specification, stores them in the 3D model library of distribution network equipment, performs high-precision modeling on various types of equipment in the distribution network, accurately reflects the appearance, structure and internal components of the equipment, and each equipment model has physical properties.

[0013] Preferably, the database module widely collects distribution network fault data from the historical fault records of power enterprises, equipment operation and maintenance files, and relevant industry cases, classifies, organizes and analyzes the collected fault data, extracts key features and parameters, and establishes a structured distribution network fault database.

[0014] Preferably, the training platform module builds a virtual training system platform for equipment maintenance based on VR by selecting appropriate VR development engines and hardware devices. The training platform module has functions of scene construction and management, fault simulation and injection, operation interaction and feedback, and training evaluation and recording.

[0015] Preferably, in the operation learning module, the theoretical knowledge learning function enables trainees to enter the training platform module for theoretical knowledge learning, and the operation skill training function conducts training on the daily inspection, maintenance operation and handling of simple faults of distribution network equipment.

[0016] Preferably, in the comprehensive training module, the fault scenarios include single faults and multiple fault combinations. The comprehensive training module real-time monitors the trainees' fault diagnosis and maintenance operation processes, compares and analyzes them with the standard fault handling processes and data, and conducts a comprehensive evaluation and feedback on the trainees' operations.

[0017] Preferably, the evaluation indicators in the training evaluation module include theoretical knowledge assessment scores, operation skill assessment scores, accuracy and speed of fault diagnosis, standardization and proficiency of maintenance operations, emergency handling capabilities, and safety awareness.

[0018] A VR-based virtual training method for distribution network maintenance includes the following steps:

[0019] Step 1: First, establish a 3D model library for distribution network equipment. Organize the built equipment models according to categories and specifications, store them in the 3D model library for distribution network equipment, and perform high-precision modeling on various types of equipment in the distribution network. Each equipment model has physical properties.

[0020] Step 2: The trainee wears VR equipment for simulation training. Select the corresponding equipment models from the 3D model library of equipment, and quickly build various distribution network scenarios for simulation training.

[0021] Step 3: When the trainee is performing simulation training, the operation behaviors and action data of the trainee are monitored in real time, and compared and analyzed with the standard operation procedures and data. Multimodal feedback information such as vision, hearing, and touch is given in a timely manner to quantitatively evaluate the various performances of the trainee during the training process and generate a detailed training report.

[0022] Step 4: After the trainee completes the study and training, the training effect of the trainee is automatically evaluated comprehensively. The evaluation indicators include theoretical knowledge assessment scores, operation skill assessment scores, accuracy and speed of fault diagnosis, standardization and proficiency of maintenance operations, emergency handling capabilities, safety awareness, and other aspects.

[0023] The present invention has the following beneficial effects:

[0024] (1) A VR-based virtual training system for distribution network maintenance creates a highly realistic 3D virtual environment for trainees through VR technology, enabling them to personally experience the actual operation scenarios and fault conditions of the distribution network; trainees can freely move, observe, and operate equipment in the virtual environment, and deeply understand the structure and working principle of the distribution network, as well as various phenomena and details when a fault occurs, from different angles; in the virtual training environment, trainees can perform various dangerous operations and fault handling exercises, such as dealing with high-voltage electricity faults and coping with equipment explosions, without posing any actual threat to their own safety; by repeatedly simulating dangerous scenarios and safety operation procedures in the virtual environment, the safety awareness of trainees can be strengthened, making them more consciously abide by safety regulations in actual work and reducing the risk of accidents; the VR-based training system has a high degree of flexibility, and the training content and scenarios can be quickly adjusted and customized according to the needs and learning progress of trainees.

[0025] (2) A virtual training system for distribution network maintenance based on VR can accurately understand the learning situation and skill level of each trainee by collecting and analyzing the operation data of trainees during virtual training, such as operation time, operation steps, error types and frequencies, etc., and provide personalized training feedback and improvement suggestions for them. At the same time, combined with the actual cases and data in the distribution network fault database, the system can intelligently adjust the training content and the difficulty of fault scenarios to match the capabilities of trainees, ensuring the pertinence and effectiveness of training, avoiding the "one-size-fits-all" problem in traditional training, and improving the quality and effect of training.

[0026] Of course, it is not necessary for any product implementing the present invention to achieve all the above-mentioned advantages simultaneously. BRIEF DESCRIPTION OF THE DRAWINGS

[0027] Figure 1 It is a block diagram of a virtual training system for distribution network maintenance based on VR of the present invention.

[0028] Figure 2 It is a flowchart of a virtual training method for distribution network maintenance based on VR of the present invention. DETAILED DESCRIPTION OF THE EMBODIMENTS

[0029] In the embodiments of the present application, through a virtual training system and method for distribution network maintenance based on VR, the problems that traditional distribution network maintenance training usually leads to the disconnection between theory and actual operation and poses a threat to the personal safety of trainees are solved. And traditional training requires a large number of actual devices, sites and training teachers, which consumes a large amount of funds. In addition, the evaluation of the training effect of trainees in traditional training is mainly carried out through methods such as examinations and actual operation assessments, and the evaluation indicators are relatively single, making it difficult to comprehensively and accurately reflect the actual skill level and knowledge mastery degree of trainees.

[0030] Please refer to Figure 1 , the embodiments of the present invention provide a technical solution: a virtual training system for distribution network maintenance based on VR, including: a modeling module, a database module, a training platform module, an operation learning module, a comprehensive training module, and a training evaluation module.

[0031] The modeling module is used to establish a 3D model library of distribution network equipment, organize the built equipment models according to categories and specifications, and store them in the 3D model library of distribution network equipment, providing basic resources for subsequent scenario construction and fault simulation; use professional 3D modeling software to perform high-precision modeling on various types of equipment in the distribution network, such as transformers, switchgear, circuit breakers, insulators, transmission lines, etc.; the models should accurately reflect the appearance, structure and internal components of the equipment, including detailed information such as the shape, size, material and connection method of each component; each equipment model has physical properties, such as electrical parameters (rated voltage, rated current, resistance, reactance, etc.), mechanical parameters (strength, stiffness, weight, etc.), so as to be able to truly simulate the operating state and fault characteristics of the equipment during the simulation process.

[0032] The database module is used to collect distribution network fault data, widely collect distribution network fault data from the historical fault records of power enterprises, equipment operation and maintenance files, and relevant industry cases, including fault types (short circuit, open circuit, grounding, overload, flashover, etc.), fault occurrence locations (specific equipment parts or line sections), fault causes (such as equipment aging, insulation damage, external force damage, misoperation, etc.), system operation parameters at the time of fault occurrence (change curves of voltage, current, power, etc.), and detailed processes, times, costs, etc. of fault handling; classify, organize and analyze the collected fault data, extract key features and parameters, and establish a structured distribution network fault database.

[0033] The training platform module builds a virtual training system platform for equipment maintenance based on VR by selecting appropriate VR development engines and hardware devices. The training platform module has functions of scene construction and management, fault simulation and injection, operation interaction and feedback, and training evaluation and recording, as follows:

[0034] The scene construction and management function selects corresponding equipment models from the equipment 3D model library according to training requirements, quickly builds various distribution network scenarios, including normal operation scenarios, different types of fault scenarios, and maintenance operation scenarios, etc., and realizes real-time rendering and interactive control of the scenarios;

[0035] The fault simulation and injection function combines with the distribution network fault database to accurately simulate the occurrence process and phenomena of various faults in the virtual scene, including changes in electrical parameters, damage manifestations of equipment, fault alarm signals, etc., and can dynamically adjust fault parameters and evolution processes according to the training progress and the operation conditions of trainees.

[0036] The operation interaction and feedback function provides a smooth operation interaction method for trainees. For example, through devices such as joysticks and gesture recognition, trainees can operate virtual devices, use maintenance tools, and interact with the virtual environment. At the same time, it monitors the operation behaviors and motion data of trainees in real time, compares and analyzes them with the standard operation processes and data, and gives multimodal feedback information such as visual, auditory, and tactile in a timely manner to prompt the correctness of trainees' operations and the improvement direction.

[0037] The training evaluation and recording function quantitatively evaluates various performances of trainees during the training process, including indicators such as the accuracy of fault diagnosis, the standardization and proficiency of maintenance operations, operation time, and the number of errors. It records the training historical data and achievements of trainees, generates detailed training reports, and provides a basis for the training progress management and personalized training of trainees.

[0038] The operation learning module includes a theoretical knowledge learning function and an operation skill training function, which are specifically as follows:

[0039] The theoretical knowledge learning function enables trainees to first enter the training platform module to learn theoretical knowledge. Through the display method of virtual reality, trainees learn theoretical knowledge such as the basic structure, working principle, equipment composition of the distribution network, and common fault types and causes. During the learning process, some simple interaction links are set, such as knowledge Q&A, fault case analysis and discussion, etc., to enable trainees to actively participate in the learning process, deepen the understanding and memory of theoretical knowledge. At the same time, the system automatically records the learning progress and answering situation of trainees, providing a reference for subsequent learning guidance and evaluation;

[0040] The operation skill training function conducts training on the daily inspection, maintenance operations of distribution network equipment, and the handling of simple faults. The system presents various normally operating distribution network equipment in the virtual scene. Trainees operate interactive devices such as joysticks to learn how to use various inspection instruments and tools (such as infrared thermometers, multimeters, insulation resistance meters, etc.) to detect the status and collect data of equipment, master the correct operation methods and measurement techniques. At the same time, trainees learn the daily cleaning, maintenance, and fastening operation processes of equipment, as well as how to identify the normal operating state and common abnormal signs of equipment; for some simple fault situations, such as abnormal indicator lights of equipment, fuse fuses, etc., trainees conduct fault diagnosis and handling operations under the guidance of the system, learning basic operation skills such as replacing fuses, checking line connections, and resetting equipment. During the operation process, the system gives operation feedback and guidance in real time to help trainees gradually improve the proficiency and accuracy of operations.

[0041] The comprehensive training module randomly generates various types and difficulty levels of fault scenarios according to the actual cases in the distribution network fault database, including single faults and multiple fault combinations. The comprehensive training module monitors the trainee's fault diagnosis and repair operation process in real time, compares and analyzes it with the standard fault handling process and data, and comprehensively evaluates and gives feedback on the trainee's operations;

[0042] If the trainee makes mistakes or encounters difficulties during the operation, the comprehensive training module can provide hints and guidance to help the trainee solve the problems and complete the repair task. At the same time, through multiple fault repair trainings, the system can gradually increase the difficulty and complexity of the fault scenarios, continuously challenge the trainee's ability limit, and prompt the trainee to continuously improve their fault repair skills in practice.

[0043] After the trainee completes the learning and training of each training module, the training evaluation module automatically conducts a comprehensive evaluation of the trainee's training effect, as follows:

[0044] The evaluation indicators include aspects such as the theoretical knowledge assessment score, the operation skill assessment score, the accuracy and speed of fault diagnosis, the standardization and proficiency of repair operations, the emergency handling ability, and the safety awareness;

[0045] The theoretical knowledge assessment uses the online answering method. The system randomly selects a certain number of questions from the question bank, covering the structure, principle, fault types, repair methods, and safety knowledge of the distribution network, etc., to test the trainee's mastery of theoretical knowledge; the operation skill assessment sets a series of actual operation tasks in the virtual scenario, such as equipment inspection, fault diagnosis and handling, emergency operations, etc., and evaluates according to indicators such as the trainee's operation completion situation, operation time, and number of errors;

[0046] Through the comprehensive analysis of various evaluation indicators, the training evaluation module generates a detailed training evaluation report for the trainee. According to the training evaluation report, the training evaluation module provides personalized feedback and improvement suggestions for each trainee. For the specific errors and problems that occur during the trainee's operation, the system details the error reasons and correct operation methods, and provides review materials on relevant knowledge points and operation skills to help the trainee deepen understanding and memory;

[0047] At the same time, the training evaluation module formulates a personalized follow-up training plan for the trainee according to the trainee's overall performance and ability level, including recommending targeted learning resources (such as online courses, technical documents, video tutorials, etc.), arranging additional training tasks and mock exams, etc., to help the trainee further improve their equipment repair ability and achieve the expected training goals.

[0048] In this implementation plan, VR technology creates a highly realistic three-dimensional virtual environment for trainees, enabling them to immerse themselves in the actual operation scenarios and fault situations of the distribution network; trainees can freely move, observe, and operate equipment in the virtual environment, deeply understand the structure and working principle of the distribution network from different angles, as well as various phenomena and details during fault occurrence; in the virtual training environment, trainees can conduct various dangerous operations and fault handling exercises, such as dealing with high-voltage electrical faults and coping with equipment explosions, without posing any actual threat to their own safety; by repeatedly simulating dangerous scenarios and safety operation procedures in the virtual environment, the safety awareness of trainees can be strengthened, making them more consciously abide by safety regulations in actual work and reducing the risk of accidents; the VR-based training system has a high degree of flexibility, and the training content and scenarios can be quickly adjusted and customized according to the needs and learning progress of trainees.

[0049] By collecting and analyzing the operation data of trainees during virtual training, such as operation time, operation steps, error types and frequencies, etc., the training system can accurately understand the learning situation and skill level of each trainee, provide personalized training feedback and improvement suggestions; at the same time, combined with the actual cases and data in the distribution network fault database, the system can intelligently adjust the training content and the difficulty of fault scenarios to match the capabilities of trainees, ensuring the pertinence and effectiveness of training, avoiding the "one-size-fits-all" problem in traditional training, and improving the quality and effect of training.

[0050] Please refer to Figure 2 , the embodiment of the present invention provides a technical solution: a VR-based virtual training method for distribution network maintenance, including the following steps:

[0051] Step 1: First, establish a three-dimensional model library of distribution network equipment, sort the built equipment models according to categories and specifications, store them in the three-dimensional model library of distribution network equipment, perform high-precision modeling on various types of equipment in the distribution network, and each equipment model has physical properties;

[0052] Step 2: Trainees wear VR devices for simulation training, select corresponding equipment models from the three-dimensional model library of equipment, and quickly build various distribution network scenarios for simulation training;

[0053] Step 3: When trainees are conducting simulation training, monitor the operation behaviors and motion data of trainees in real time, compare and analyze them with the standard operation procedures and data, and give multi-modal feedback information such as vision, hearing, and touch in a timely manner, and generate a detailed training report for quantitatively evaluating the various performances of trainees during the training process.

[0054] Step 4: After the trainee completes the learning and training, the training effect of the trainee is automatically comprehensively evaluated. The evaluation indicators include the scores of theoretical knowledge assessment, the scores of operation skill assessment, the accuracy and speed of fault diagnosis, the standardization and proficiency of maintenance operations, the emergency handling ability, the safety awareness, and many other aspects.

[0055] Although the preferred embodiments of the present invention have been described, those skilled in the art can make additional changes and modifications to these embodiments once they know the basic creative concept. Therefore, the appended claims are intended to be construed to include the preferred embodiments as well as all changes and modifications that fall within the scope of the present invention.

[0056] Obviously, those skilled in the art can make various changes and modifications to the present invention without departing from the spirit and scope of the present invention. Thus, if these modifications and variations of the present invention fall within the scope of the claims of the present invention and their equivalent technologies, the present invention is also intended to include these modifications and variations.

Claims

1. A VR-based distribution network maintenance virtual training system, characterized in that: include: Modeling module, database module, training platform module, operation learning module, comprehensive training module, training evaluation module; The modeling module is used to establish a three-dimensional model library of distribution network equipment; The database module is used to collect distribution network fault data; The training platform module builds a VR-based equipment maintenance virtual training system platform by selecting appropriate VR development engines and hardware devices; The operation learning module includes theoretical knowledge learning function and operation skill training function; The comprehensive training module randomly generates various fault scenarios of different types and difficulty levels based on actual cases in the distribution network fault database; The training evaluation module automatically conducts a comprehensive evaluation of the training effect of the trainees after the trainees have completed the study and training of each training module.

2. A distribution network maintenance virtual training system based on VR according to claim 1, characterized in that: The modeling module organizes the constructed equipment models according to categories and specifications, stores them in the distribution network equipment three-dimensional model library, and performs high-precision modeling on various types of equipment in the distribution network to accurately reflect the appearance, structure and internal components of the equipment. Each equipment model has physical properties.

3. A distribution network maintenance virtual training system based on VR according to claim 1, characterized in that: The database module collects distribution network fault data extensively from historical fault records of power companies, equipment operation and maintenance archives, and related industry cases, classifies and analyzes the collected fault data, extracts key features and parameters, and establishes a structured distribution network fault database.

4. A distribution network maintenance virtual training system based on VR according to claim 1, characterized in that: The training platform module builds a VR-based equipment maintenance virtual training system platform by selecting appropriate VR development engines and hardware equipment. The training platform module has scene construction and management functions, fault simulation and injection functions, operation interaction and feedback functions, and training evaluation and recording functions.

5. The VR-based distribution network maintenance virtual training system according to claim 1 is characterized in that: The theoretical knowledge learning function in the operation learning module is for trainees to enter the training platform module for theoretical knowledge learning, and the operation skill training function is for training on daily inspection, maintenance operations and simple fault handling of distribution network equipment.

6. A distribution network maintenance virtual training system based on VR according to claim 1, characterized in that: The fault scenarios in the comprehensive training module include single faults and multiple fault combinations. The comprehensive training module monitors the trainees' fault diagnosis and maintenance operation process in real time, compares and analyzes them with standard fault handling procedures and data, and conducts comprehensive evaluation and feedback on the trainees' operations.

7. The VR-based distribution network maintenance virtual training system according to claim 1 is characterized in that: The evaluation indicators in the training evaluation module include theoretical knowledge assessment results, operational skills assessment results, accuracy and speed of fault diagnosis, standardization and proficiency of maintenance operations, emergency response capabilities, and safety awareness.

8. A VR-based virtual training method for distribution network maintenance, characterized in that: The following steps are involved: Step 1: First, establish a 3D model library for distribution network equipment, sort the built equipment models according to categories and specifications, store them in the 3D model library for distribution network equipment, and perform high-precision modeling on various types of equipment in the distribution network. Each equipment model has physical properties. Step 2: Trainees wear VR equipment for simulation training, select corresponding equipment models from the equipment 3D model library, and quickly build various distribution network scenarios for simulation training; Step 3: When trainees are undergoing simulation training, their operation behaviors and action data are monitored in real time, and compared and analyzed with standard operation procedures and data. Multi-modal feedback information such as vision, hearing and touch is provided in a timely manner to quantitatively evaluate the trainees' performance during the training process and generate a detailed training report. Step 4: After students complete their studies and training, a comprehensive evaluation of their training results will be automatically conducted. The evaluation indicators include theoretical knowledge assessment results, operational skills assessment results, accuracy and speed of fault diagnosis, standardization and proficiency of maintenance operations, emergency response capabilities, safety awareness and other aspects.

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