Power distribution network fault maintenance VR scene processing method and training system

Abstract

The invention discloses a power distribution network fault maintenance VR scene processing method and training system in the technical field of electric power, and the method comprises the following steps: collecting the fault types of a previous power distribution network, building a power distribution network fault database, and carrying out the training classification; establishing a power distribution network fault simulation unit, and performing power distribution network fault scene simulation according to the data of the power distribution network fault data; the VR device generates a corresponding virtual training scene, and the student wears the VR device to prepare for training; real-time data transmission is carried out during VR equipment operation, and student operation data is compared with internal data of a power distribution network fault database. Through the virtual training scene generated by the VR equipment, the real-time data transmission during the operation of the VR equipment and the comparison with the internal data of the power distribution network fault database, operation feedback can be provided for students in time, the students are helped to rapidly improve the fault maintenance skills, and errors and mistakes in actual work are reduced.

Description

Technical Field

[0001] The present invention relates to the field of power technology, and specifically to a method for processing VR scenarios of distribution network fault maintenance and a training system. Background Art

[0002] Traditional distribution network maintenance training usually focuses on classroom lectures of theoretical knowledge. Students learn the structure, principle, fault types, etc. 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 actual operation ability. 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 potential 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, posing a threat to 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, leasing 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 degree of students. Moreover, there is a certain degree of subjectivity in the evaluation process, and it is difficult to deeply analyze the operation details and problems of students. Summary of the Invention

[0004] Aiming at the deficiencies of the prior art, the present invention provides a method for processing VR scenarios of distribution network fault maintenance and a training system, which solves 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 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 degree of students.

[0005] To achieve the above objectives, the present invention is realized through the following technical solutions: A method for processing VR scenarios of distribution network fault maintenance, including the following steps:

[0006] Collect past distribution network fault types, establish a distribution network fault database, and then conduct training classification. According to the time and cost of fault maintenance, it is divided into levels one to five, and the difficulty of fault maintenance increases in turn;

[0007] Build a distribution network fault simulation unit, and perform distribution network fault scenario simulation according to the distribution network fault data, including distribution network equipment scenarios, distribution network equipment explosion model scenarios, and component scenarios, and send the simulation scenarios to the VR device;

[0008] The VR device generates corresponding virtual training visual scenes, and trainees wear VR devices for preparatory training to complete the theoretical training of distribution network faults and the training of distribution network fault maintenance;

[0009] During the operation of the VR device, real-time data transmission is carried out. The operation data of the trainees is compared with the internal data of the distribution network fault database to determine the completion degree of maintenance. Trainees with a qualified completion degree end the training, and the data of trainees with an unqualified completion degree is transmitted to the analysis unit. The analysis unit analyzes and obtains the improvement plan for this trainee and adjusts the distribution network fault maintenance scenario.

[0010] Preferably, first collect the original distribution network fault data, including distribution network fault site pictures, videos and other data, N = P + V + O, and the total amount of original fault data is N; the number of distribution network fault site pictures is P; the number of distribution network fault site videos is V; the number of other data is O.

[0011] Preferably, after collecting the original fault data, it is necessary to screen out the useless data and determine the proportion r of the useless data, as shown in the following formula:

[0012]

[0013] In the formula, 0 ≤ r < 1, r is increased or decreased according to the actual training process, and the total amount of clear fault data after screening is M, M = N × (1 - r); the number of clear fault pictures P 用 = P × (1 - r p ), r P is the proportion of the number of clear fault pictures; the number of clear fault videos V 用 = V × (1 - r V ), r V is the proportion of the number of clear fault videos; the number of clear fault other data O 用 = O × (1 - r O ), r O is the proportion of the number of clear fault other data.

[0014] Preferably, the fault maintenance grading process is as follows:

[0015] T ≤ T 1 and C ≤ C 1 , G(T, C) = 1

[0016] T 1 ≤ T ≤ T 2 and C 1≤C≤C 2 , G(T,C)=2

[0017] T 2 ≤T≤T 3 And C 2 ≤C≤C 3 , G(T,C)=3

[0018] T 3 ≤T≤T 4 And C 3 ≤C≤C 4 , G(T,C)=4

[0019] T≥T 4 And C ≥ C 4 , G(T,C)=5

[0020] In the formula, the maintenance time is T, the unit is hours, the maintenance cost is C, and the grading function is G(T,C); T 1 ; T 2 ; T 3 ; T 4 is the time threshold, C 1 ; C 2 ; C 3 ; C 4 is the cost threshold.

[0021] Preferably, the distribution network fault simulation unit has scenario modeling function, fault simulation function, interactive control function, data processing and analysis function;

[0022] The scenario modeling function is to construct a virtual power distribution network scenario;

[0023] The fault simulation function is to simulate various fault conditions and the system operation status at the time of fault in a virtual scene based on the distribution network fault data and the physical model of the power system;

[0024] The interactive control function is to realize the interaction between the user and the virtual scene;

[0025] The data processing and analysis function is to process and analyze the large amount of data generated during the simulation process, and display the analysis results to the user through data visualization technology.

[0026] Preferably, the student operation data set is D={D 1 ,D 2 ,···D n}, where each D i A data indicator representing the student's troubleshooting operation for a specific fault at a certain moment; the internal data set of the distribution network fault database is S = {S 1 ,S 2, ··· S n}, where each S i corresponds to the corresponding standard operation index value.

[0027] Preferably, the error is as follows:

[0028]

[0029] Set the error threshold The completion of the trainee meets the standard, The completion of the trainee does not meet the standard;

[0030] And:

[0031]

[0032] In the formula, the closer the value of Sim(D, S) is to 1, the more similar the operation of the trainee is to the standard operation, that is, the more accurate the operation; and the closer its value is to 0, the lower the operation accuracy.

[0033] The VR scene processing training system for distribution network fault repair includes: a database module, a data analysis module, a simulation module, a VR device module, a data comparison module, and a data analysis module;

[0034] The database module is responsible for collecting past distribution network fault types and establishing a distribution network fault database;

[0035] The data analysis module is used to train and classify the data in the database, and divide it into levels one to five according to the time and cost of fault repair, and the difficulty of fault repair increases in turn;

[0036] The simulation module is used to simulate the distribution network fault scene according to the distribution network fault data, including the distribution network equipment scene, the distribution network equipment explosion model scene, and the parts scene, and send the simulation scene to the VR device module;

[0037] The VR device module is used to generate the corresponding virtual training visual scene;

[0038] The data comparison module is used for real-time data transmission, comparing the trainee's operation data with the internal data of the distribution network fault database to determine the completion of the repair. Trainees with qualified completion end the training, and the data of trainees with unqualified completion is transmitted to the analysis unit;

[0039] The data analysis module is used to analyze and obtain the improvement plan for unqualified trainees and adjust the distribution network fault repair scene.

[0040] The present invention has the following beneficial effects:

[0041] (1) The VR scene processing training method for distribution network fault repair provides an immersive learning environment for trainees through the virtual training vision generated by VR devices. The real-time data transmission during the operation of VR devices and the comparison with the internal data of the distribution network fault database can immediately provide operation feedback for trainees. Trainees can clearly understand the gap between their operations and standard operations, and thus adjust their operation methods in a timely manner. This rapid feedback loop helps trainees quickly improve their fault repair skills and reduce errors and mistakes in actual work.

[0042] (2) The VR scene processing training method for distribution network fault repair avoids the high costs required for building real physical experiment scenes and complex equipment maintenance work by establishing a distribution network fault simulation and emulation unit and using a computer to generate various fault scenes, including equipment scenes, explosion model scenes, and component scenes, etc. At the same time, the simulation scenes can be reused infinitely according to needs, greatly improving the utilization rate of training resources.

[0043] (3) The VR scene processing training method for distribution network fault repair designs and optimizes training content based on the distribution network fault database, making the training more precisely targeted at the fault situations that may be encountered in actual work. Through the analysis and mining of past fault data, it can provide the most representative fault cases for trainees, avoiding the blindness and randomness of training content and improving the quality and effect of training; the application of VR technology enables trainees to conduct distribution network fault training anytime and anywhere without being restricted by time and space.

[0044] (4) The VR scene processing training method for distribution network fault repair conducts distribution network fault repair training in a virtual environment. Trainees can perform various high-risk operation exercises under the premise of safety, such as dealing with emergency situations after equipment explosions and conducting repair operations in a high-voltage environment. Even if trainees make mistakes during the operation process, it will not cause any damage to actual distribution network equipment and personnel, effectively reducing the safety risks during training; for trainees whose completion does not meet the standard, personalized improvement plans are formulated through the analysis unit, and the distribution network fault repair scene is adjusted according to the specific situation of trainees, which can meet the learning needs and ability levels of different trainees.

[0045] 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

[0046] Figure 1 It is a flowchart of the VR scene processing training method for distribution network fault repair of the present invention.

[0047] Figure 2 It is a block diagram of the VR scene processing training system for distribution network fault repair of the present invention. Detailed implementation manners

[0048] In the embodiment of the present application, through the VR scenario processing method and training system for distribution network fault maintenance, 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 trainees are solved; and traditional training requires a large number of actual equipment, 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 are solved.

[0049] Please refer to Figure 1 , the embodiment of the present invention provides a technical solution: a VR scenario processing training method for distribution network fault maintenance, including the following steps:

[0050] Step 1: Collect past distribution network fault types, establish a distribution network fault database, and then conduct training grading. According to the time and cost of fault maintenance, it is divided into levels one to five, and the difficulty of fault maintenance increases in turn.

[0051] First, collect the original distribution network fault data, including pictures, videos and other data of the distribution network fault site, N = P + V + O;

[0052] In the formula, the total amount of original fault data is N; the number of pictures of the distribution network fault site is P; the number of videos of the distribution network fault site is V; the number of other data is O; the other data O includes fault text descriptions (fault time, location, type and phenomenon), fault maintenance records;

[0053] After the collection of the original fault data is completed, useless data needs to be screened. First, determine the proportion r of the useless data, 0 ≤ r < 1, and r can be increased or decreased according to the actual training process. Then, determine that the total amount of clear fault data after screening is M, M = N×(1 - r); the number of clear fault pictures P 用 = P×(1 - r p ), r P is the proportion of the number of clear fault pictures; the number of clear fault videos V 用 = V×(1 - r V ), r V is the proportion of the number of clear fault videos; the number of clear fault other data O 用 = O×(1 - r O ), r O is the proportion of the number of clear fault other data;

[0054] Among them,

[0055] The process of fault maintenance grading is as follows:

[0056] The maintenance time is T, with the unit of hour, the maintenance cost is C, and the grading function is G(T, C);

[0057] T ≤ T 1 and C ≤ C 1 , G(T, C) = 1

[0058] T 1 ≤ T ≤ T 2 and C 1 ≤ C ≤ C 2 , G(T, C) = 2

[0059] T 2 ≤ T ≤ T 3 and C 2 ≤ C ≤ C 3 , G(T, C) = 3

[0060] T 3 ≤ T ≤ T 4 and C 3 ≤ C ≤ C 4 , G(T, C) = 4

[0061] T ≥ T 4 and C ≥ C 4 , G(T, C) = 5

[0062] T 1 ; T 2 ; T 3 ; T 4 are time thresholds set according to the actual situation, and C 1 ; C 2 ; C 3 ; C 4 are cost thresholds set according to the actual situation, based on the statistical analysis of historical data and manual setting, so that the difficulty of fault maintenance increases sequentially with the increase of the level.

[0063] Step 2, establish a distribution network fault simulation unit, simulate the distribution network fault scenarios according to the distribution network fault data, including the distribution network equipment scenario, the distribution network equipment explosion model scenario, and the component scenario, and send the simulation scenarios to the VR device.

[0064] The distribution network fault simulation unit has functions of scenario modeling, fault simulation, interactive control, data processing and analysis;

[0065] The scenario modeling function uses 3D modeling software, such as 3ds Max, Maya, etc., to build a virtual distribution network scenario according to the actual structure and layout of the distribution network, including substations, transmission lines, poles, switchgear, etc.;

[0066] The fault simulation function is based on the fault data of the distribution network and the physical model of the power system. It simulates various fault conditions in a virtual scenario, such as short-circuit faults, open-circuit faults, and grounding faults. Parameters such as the location, type, and occurrence time of the fault can be set, as well as the system operating state during the fault, such as voltage, current, and power.

[0067] The interactive control function realizes the interactive function between the user and the virtual scenario. The user can freely move, observe the device status, and perform operations in the virtual scenario through interactive devices such as a handle. At the same time, this module can also receive the user's operation instructions and feedback them to the fault simulation module to update the fault scenario in real time.

[0068] The data processing and analysis function processes and analyzes a large amount of data generated during the simulation process, such as voltage waveforms, current waveforms, and fault location results. Through data visualization technology, the analysis results are presented to the user in the form of charts, curves, etc., to help the user better understand the characteristics and laws of distribution network faults.

[0069] Step 3: The VR device generates the corresponding virtual training visual scene, and the trainee wears the VR device for preparatory training to complete the theoretical training of distribution network faults and the training of distribution network fault repair.

[0070] According to the precise layout, equipment parameters, and various fault conditions of the actual distribution network, various components of the distribution network are modeled, such as transformers, switch cabinets, and busbars in substations, poles, conductors of transmission lines, and distribution equipment, etc., to ensure that their appearance, structure, and electrical characteristics are consistent with the actual situation.

[0071] At the same time, based on the information in the fault database, corresponding fault visual scenes are generated for different types of faults, such as short-circuit faults, open-circuit faults, and grounding faults, as well as different locations and conditions where the faults occur. In these visual scenes, electrical phenomena during the fault occurrence, such as arcs, sparks, and smoke, and abnormal states of the equipment, such as tripping, alarming, and indicator light flashing, are simulated, enabling the trainee to intuitively feel the authenticity and complexity of the fault scenario.

[0072] Combined with the virtual distribution network model, guide the trainee to learn analysis methods such as power flow calculation and short-circuit current calculation of the power system and introduce common methods and technologies for distribution network fault diagnosis.

[0073] Among them, by changing the parameters in the virtual power grid in real time, such as load size, power generation of the power source, and line impedance, etc., let the trainee observe the changes in the system state and understand the influence of these parameters on the occurrence and development of faults; explain the concept and analysis method of power system stability, as well as the damage effect of faults on system stability and restoration measures.

[0074] Common methods and techniques for distribution network fault diagnosis include analysis methods based on fault recording data, analysis of protection device operation logic, fault location algorithms, etc.; in a virtual scenario, simulate the operation of protection devices and the acquisition process of fault recording data after a fault occurs, enabling trainees to master how to quickly and accurately judge the fault type, location, and cause from this information through actual operation and analysis, thereby improving the ability of fault diagnosis.

[0075] Before trainees wear VR devices and enter the fault repair simulation scenario, through virtual demonstrations and voice prompts, explain in detail the safety operation procedures and precautions in distribution network repair work, such as operation steps like power outage, voltage testing, hanging grounding wires, setting warning signs, etc., as well as measures to prevent safety accidents such as electric shock, falling from heights, and object strikes; display and introduce common tools and equipment used in distribution network repair work in the virtual scenario, such as wrenches, screwdrivers, pliers, multimeters, insulation resistance meters, lifting tools, etc., and let trainees master the correct usage methods and operation skills of these tools and equipment through animation demonstrations and actual operation exercises.

[0076] Design a series of fault repair simulation tasks according to different types of distribution network faults, allowing trainees to carry out actual operation exercises in a virtual environment. Trainees need to formulate a reasonable repair plan based on the results of fault diagnosis, select appropriate tools and equipment, and gradually complete the repair and replacement of faulty equipment in accordance with the requirements of safety operation procedures.

[0077] Step 4: During the operation of the VR device, real-time data transmission is carried out. The operation data of trainees is compared with the internal data of the distribution network fault database to determine the repair completion degree. Trainees with a qualified completion degree end the training, and the data of trainees with an unqualified completion degree is transmitted to the analysis unit. The analysis unit analyzes and obtains the improvement plan for this trainee and adjusts the distribution network fault repair scenario.

[0078] The set of trainees' operation data is D = {D 1 , D 2 , ··· D n}, where each D i represents a data index of a trainee's specific fault repair operation at a certain moment. The data indexes include operation time, operation step sequence, force or angle of tool use, equipment parameter adjustment value, etc.; the set of internal data of the distribution network fault database is S = {S 1 , S 2 , ··· S n}, where each S i corresponds to the corresponding standard operation index value.

[0079] The error is as follows:

[0080]

[0081] To evaluate the completion degree of the maintenance operations performed by trainees, an error threshold is set The trainee's completion degree meets the standard, The trainee's completion degree does not meet the standard;

[0082] And:

[0083]

[0084] In the formula, the closer the value of Sim(D,S) is to 1, the more similar the trainee's operation is to the standard operation, that is, the more accurate the operation; and the closer its value is to 0, the lower the operation accuracy.

[0085] In this implementation plan, the virtual training visual scene generated by the VR device provides an immersive learning environment for trainees. The real-time data transmission during the operation of the VR device and the comparison with the internal data of the distribution network fault database can immediately provide operation feedback for trainees. Trainees can clearly understand the gap between their operations and the standard operations, so as to adjust the operation methods in a timely manner. This rapid feedback loop helps trainees quickly improve their fault repair skills and reduce errors and mistakes in actual work; establish a distribution network fault simulation unit, and use the computer to generate various fault scenarios, including equipment scenarios, explosion model scenarios, and component scenarios, etc., avoiding the high costs required for building real physical experimental scenarios and the complex equipment maintenance work. At the same time, the simulation scenarios can be reused infinitely according to needs, greatly improving the utilization rate of training resources; design and optimize the training content based on the distribution network fault database, making the training more accurately targeted at the fault situations that may be encountered in actual work. Through the analysis and mining of past fault data, the most representative fault cases can be provided for trainees, avoiding the blindness and randomness of training content, and improving the quality and effect of training; the application of VR technology enables trainees to conduct distribution network fault training anytime and anywhere without being restricted by time and space.

[0086] When conducting distribution network fault repair training in a virtual environment, trainees can perform various high-risk operation exercises under the premise of safety, such as dealing with emergency situations after equipment explosion, performing repair operations in a high-voltage environment, etc. Even if trainees make mistakes during the operation process, it will not cause any damage to the actual distribution network equipment and personnel, effectively reducing the safety risks during the training process; for trainees whose completion degree does not meet the standard, a personalized improvement plan is formulated through the analysis unit, and the distribution network fault repair scenario is adjusted according to the specific situation of the trainees, which can meet the learning needs and ability levels of different trainees.

[0087] Please refer to Figure 2, an embodiment of the present invention provides a technical solution: a VR scenario processing training system for distribution network fault repair, including: a database module, a data analysis module, a simulation module, a VR device module, a data comparison module, and a data analysis module;

[0088] The database module is responsible for collecting past distribution network fault types and establishing a distribution network fault database; the data analysis module is used to train and classify the database data, divided into levels one to five according to the time and cost of fault repair, and the difficulty of fault repair increases in sequence; the simulation module is used to simulate the distribution network fault scenario according to the distribution network fault data, including the distribution network equipment scenario, the distribution network equipment explosion model scenario, and the component scenario, and send the simulation scenario to the VR device module; the VR device module is used to generate the corresponding virtual training visual scene; the data comparison module is used to perform real-time data transmission, compare the trainee operation data with the internal data of the distribution network fault database to determine the repair completion degree, trainees with qualified completion degree end the training, and the data of trainees with unqualified completion degree is transmitted to the analysis unit; the data analysis module is used to analyze and obtain the improvement plan for unqualified trainees and adjust the distribution network fault repair scenario.

[0089] Although the preferred embodiments of the present invention have been described, those skilled in the art can make additional changes and modifications 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 falling within the scope of the present invention.

[0090] 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 also intends to include these modifications and variations.

Claims

1. A distribution network fault maintenance VR scene processing training method, characterized in that: The following steps are involved: Collect past distribution network fault types, establish a distribution network fault database, and then conduct training and grading. According to the time and cost of fault repair, the faults are divided into levels one to five, and the difficulty of fault repair increases in sequence; Establish a distribution network fault simulation unit to simulate distribution network fault scenarios based on distribution network fault data, including distribution network equipment scenarios, distribution network equipment explosion model scenarios, and component scenarios, and deliver the simulation scenarios to VR devices; VR equipment generates corresponding virtual training scenes, and trainees wear VR equipment for preparation training, which is used to complete theoretical training on distribution network faults and distribution network fault troubleshooting training; Real-time data transmission is performed during VR device operation. The trainee's operation data is compared with the internal data of the distribution network fault database to determine the degree of maintenance completion. Trainees who meet the completion standard will complete the training, and the data of trainees who do not meet the completion standard will be transmitted to the analysis unit. The analysis unit will analyze and derive an improvement plan for the trainee and adjust the distribution network fault maintenance scenario.

2. The distribution network fault maintenance VR scene processing training method according to claim 1 is characterized in that: First, collect the original fault data of the distribution network, including pictures and videos of the distribution network fault site and other data, N = P + V + O, and the total amount of original fault data is N; The number of distribution network fault site pictures is P; the number of distribution network fault site videos is V; the number of other data is O.

3. The distribution network fault maintenance VR scene processing training method according to claim 2 is characterized in that: After the original fault data is collected, it is necessary to screen out useless data and determine the proportion r of useless data, as shown in the following formula: Where, 0≤r<1, r increases or decreases according to the actual training process, the total amount of clear fault data after screening is M, M=N×(1-r); the number of clear fault pictures P 用 =P×(1-r p ), r P To clarify the proportion of faulty images; to clarify the number of faulty videos V 用 =V×(1-r V ), r V To clarify the proportion of fault videos; to clarify the number of other fault data 用 =O×(1-r O ), r O To clarify the proportion of other data quantity of faults.

4. The distribution network fault maintenance VR scene processing training method according to claim 3 is characterized in that: The fault troubleshooting classification process is as follows: T≤T1 and C≤C1, G(T,C)=1 T1≤T≤T2 and C1≤C≤C2, G(T,C)=2 T2≤T≤T3 and C2≤C≤C3, G(T,C)=3 T3≤T≤T4 and C3≤C≤C4, G(T,C)=4 T≥T4 and C≥C4, G(T,C)=5 Wherein, the maintenance time is T, the unit is hours, the maintenance cost is C, the grading function is G(T,C); T1; T2; T3; T4 are time thresholds, C1; C2; C3; C4 are cost thresholds.

5. The distribution network fault maintenance VR scene processing training method according to claim 1 is characterized in that: The distribution network fault simulation unit has scene modeling function, fault simulation function, interactive control function, data processing and analysis function; The scenario modeling function is to construct a virtual power distribution network scenario; The fault simulation function is to simulate various fault conditions and the system operation status at the time of fault in a virtual scene based on the distribution network fault data and the physical model of the power system; The interactive control function is to realize the interaction between the user and the virtual scene; The data processing and analysis function is to process and analyze the large amount of data generated during the simulation process, and display the analysis results to the user through data visualization technology.

6. The distribution network fault maintenance VR scene processing training method according to claim 1 is characterized in that: The student operation data set is D = {D1, D2, .. . . D n }, where each D i A data indicator representing the student's maintenance operation on a specific fault at a certain moment; the internal data set of the distribution network fault database is S = {S1, S2, ···S n }, where each S i Corresponding standard operating indicator values.

7. The distribution network fault maintenance VR scene processing training method according to claim 6 is characterized in that: The error is as follows: Setting the error threshold Students have achieved the required completion rate. The students’ completion rate did not meet the standard; and: In the formula, the closer the value of Sim(D,S) is to 1, the more similar the trainee's operation is to the standard operation, that is, the more accurate the operation is; and the closer its value is to 0, the lower the accuracy of the operation is.

8. A distribution network fault maintenance VR scene processing training system, using the distribution network fault maintenance VR scene processing training method according to any one of claims 1 to 7, characterized in that: include: Database module, data analysis module, simulation module, VR equipment module, data comparison module and data analysis module; The database module is responsible for collecting past distribution network fault types and establishing a distribution network fault database; The data analysis module is used to perform training and grading of database data, which is divided into levels one to five according to the time and cost of fault repair, with the difficulty of fault repair increasing in sequence; The simulation module is used to simulate distribution network fault scenarios according to the data of distribution network fault data, including distribution network equipment scenarios, distribution network equipment explosion model scenarios, and component scenarios, and deliver the simulation scenarios to the VR device module; The VR device module is used to generate a corresponding virtual training scene; The data comparison module is used to perform real-time data transmission, compare the trainee operation data with the internal data of the distribution network fault database, determine the degree of maintenance completion, and trainees who meet the completion standard end the training, and the data of trainees who do not meet the completion standard are transmitted to the analysis unit; The data analysis module is used to analyze and derive improvement plans for students who do not meet the standards, and to adjust distribution network fault maintenance scenarios.

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