A VR simulation training method and system for power distribution network maintenance and management

Abstract

This invention provides a VR simulation training method and system for power distribution network maintenance and management, comprising: constructing a three-dimensional power distribution model; constructing corresponding maintenance management schemes based on maintenance management projects issued by the manager; generating several training samples; retrieving corresponding learning maintenance management schemes according to the selected learning scheme; constructing several VR training scenarios based on the learning training samples; evaluating the training effect based on the real-time VR training data generated by the learner during training in each VR training scenario to determine the learner's unmastered content; constructing a consolidation VR scenario for the learner based on the unmastered content; guiding the learner to consolidate their learning; making the teaching software highly flexible and adaptable; and enabling real-time monitoring of students' learning status for targeted teaching and consolidation, thereby improving students' learning outcomes.

Description

Technical Field

[0001] This invention relates to the field of VR simulation learning and training technology, and in particular to a VR simulation training method and system for power distribution network maintenance and management. Background Technology

[0002] Power distribution network maintenance and management plays a crucial role in ensuring stable, safe, and economical power supply within the power industry. Therefore, it is an important course in many universities. Given the large number of students in universities and the widespread application of power distribution networks in various remote or confined spaces, including industrial and mining enterprises, the construction industry, and other sectors, the high cost of power distribution network construction has led many universities to opt for online teaching. However, online teaching, limited to videos or simulations, often results in monotonous videos that prevent students from fully immersing themselves in the learning environment, leading to poor learning outcomes. While some universities have introduced VR virtual reality systems, their complexity makes it difficult to guarantee the learning quality for every student, easily resulting in a polarization of learning outcomes. Currently, how to further utilize VR simulation for training and learning to ensure effective student learning has become an urgent problem to be solved.

[0003] Therefore, the present invention provides a VR simulation training method and system for power distribution network maintenance and management. Summary of the Invention

[0004] This invention provides a VR simulation training method and system for power distribution network maintenance and management. It presents the corresponding operation methods in a 3D virtual way, making the teaching software highly flexible and adaptable. It also allows for real-time monitoring of students' learning progress, targeted teaching and reinforcement, and improved learning outcomes.

[0005] This invention provides a VR simulation training method for power distribution network maintenance and management, comprising:

[0006] Step 1: Construct a three-dimensional power distribution model based on the environmental data corresponding to different power distribution network environments, and construct a maintenance management plan for each power distribution network environment in conjunction with the maintenance management projects issued by the manager, generating several training samples;

[0007] Step 2: Guide the learner to wear the VR headset, retrieve the corresponding learning maintenance and management plan according to the learning plan selected by the learner, and construct several VR training scenarios for the learner in combination with the corresponding learning training samples;

[0008] Step 3: Evaluate the learning effect of the learner based on the real-time VR training data generated by the learner during training in each VR training scenario, and determine the content that the learner has not mastered in this session;

[0009] Step 4: Based on the content not mastered this time, construct the learner's unmastered knowledge and corresponding knowledge circuits, generate the learner's reinforcement VR scene, and guide the learner to consolidate learning.

[0010] In one feasible approach

[0011] Construct a maintenance and management plan for each of the aforementioned power distribution network environments, including:

[0012] Step 11: Determine the corresponding power distribution network environment based on the learning objectives uploaded by the manager, search for several power distribution environment information in the big data, identify several power distribution feature points contained in each power distribution environment information, and construct a virtual typical power distribution network environment based on the power distribution feature points and the environmental characteristics of the power distribution network environment.

[0013] Step 12: Construct a three-dimensional power distribution model corresponding to the power distribution network environment in a preset three-dimensional space based on the environmental data of the virtual typical power distribution network environment; draw the network circuit information corresponding to the power distribution network environment based on the three-dimensional power distribution model; and construct an environmental information set based on the three-dimensional power distribution model and network power information corresponding to each power distribution network environment.

[0014] Step 13: Obtain the semantic content of the environmental information set labeled by the manager, construct the maintenance management project corresponding to each distribution network environment in combination with basic power grid knowledge, and determine the maintenance management equipment corresponding to each maintenance management project;

[0015] Step 14: Determine the maintenance management parameters corresponding to the maintenance management items based on the equipment data corresponding to each maintenance management device, and input each maintenance management item and the corresponding maintenance management parameters into the set location corresponding to the environmental information set for environmental fusion to obtain the maintenance management scheme corresponding to each power distribution network environment.

[0016] In one feasible approach

[0017] Generate several training samples, including:

[0018] The maintenance management objective of each maintenance management scheme is determined based on the maintenance management equipment corresponding to each maintenance management scheme and the working function of the maintenance management equipment in the corresponding power distribution network environment.

[0019] Each of the aforementioned maintenance management schemes is simulated to obtain the process of achieving the corresponding maintenance management objective;

[0020] During the simulation process, the correlation and influence information between the three-dimensional power distribution model and the implementation process is extracted;

[0021] In the corresponding power distribution network environment, search for the power grid equipment related to each of the associated impact information to obtain the equipment presentation characteristics corresponding to each of the power grid equipment;

[0022] When the device exhibits positive characteristics, the implementation process is determined to be an effective process of the maintenance management scheme;

[0023] Conversely, in the three-dimensional power distribution model, several connecting devices related to the maintenance and management equipment are identified. According to the maintenance and management purpose, cyclical equipment maintenance and management are performed on each of the connecting devices in the three-dimensional power distribution model until the equipment corresponding to the power grid equipment shows a positive feature. Based on the equipment maintenance and management process corresponding to each connecting device, an effective process of constructing the maintenance and management scheme is formed.

[0024] Each device included in the effective process is considered as a training sample when the learner learns the management and maintenance scheme.

[0025] In one feasible approach

[0026] Step 2 includes:

[0027] Step 21: Guide the learner to wear the VR headset according to the wearing standard, obtain the learning plan selected by the learner, and determine the learning power distribution network environment and corresponding learning maintenance management plan for the learner's current learning based on the learning plan;

[0028] Step 22: Based on the learning maintenance management plan, determine several learning priorities and learning difficulties for this learning, find the training samples corresponding to the learning maintenance management plan, and identify the first training sample point corresponding to each learning priority and the second training sample point corresponding to each learning difficulty in the training samples.

[0029] Step 23: Control Unity to construct the initial scene for this learning based on the power distribution environment data corresponding to the learning power distribution network environment. In the initial scene, locate each of the first training sample and each of the second training sample points to obtain several learning scene points. Use the learning maintenance management scheme to determine the learning content corresponding to each learning scene point.

[0030] Step 24: Arrange the initial scene using the learning content to obtain the VR training scene corresponding to each learning content, and retrieve and display the corresponding VR training scene according to the selected command issued by the learner.

[0031] In one feasible approach

[0032] Also includes:

[0033] When the learner selects multiple learning schemes at the same time, the learning schemes belonging to the same power distribution network environment will be subjected to knowledge point logic analysis to construct corresponding knowledge concept maps.

[0034] The training samples corresponding to the learning scheme are fused according to the knowledge concept map to generate a multi-knowledge VR training scene for each power distribution network environment.

[0035] The learner will select a scenario and display the corresponding multi-knowledge VR training scenario.

[0036] In one feasible approach

[0037] Step 3 includes:

[0038] Step 31: Obtain the learner's real-time VR training data, divide the real-time VR training data into several scene training data segments according to the training time period corresponding to each VR training scene, and determine the timestamp corresponding to each scene training data segment.

[0039] Step 32: Perform learner behavior analysis on each training data segment of the scene, determine several learning training points of the learner in the corresponding VR training scene, and obtain the learning training operation corresponding to each learning training point.

[0040] Step 33: Arrange the learning and training operations corresponding to different VRs according to the timestamp order to obtain the learner's learning coherent actions, and construct the learner's learned knowledge at different times according to the response characteristics of each VR training scene to the learning coherent actions.

[0041] Step 34: Generate test questions based on each piece of learned knowledge, obtain the learner's test answers, determine several pieces of knowledge to be learned by the learner according to the learning management and maintenance plan, analyze the learner's learning effect based on the data difference between the knowledge to be learned and the learned knowledge, combined with the accuracy of the test answers, and determine the content that the learner has not mastered this time.

[0042] In one feasible approach

[0043] Also includes:

[0044] When the learner's unmastered content is 0, it is determined that the learner has completed the current learning session, and a summary of the learner's current learning knowledge is generated and displayed.

[0045] In one feasible approach

[0046] Step 4 includes

[0047] Step 41: Identify the unmastered training samples corresponding to each of the unmastered contents, and perform sample identification in the target three-dimensional power distribution model corresponding to the unmastered training samples to obtain several unmastered knowledge of the learner and the knowledge circuit corresponding to each unmastered knowledge.

[0048] Step 42: Reorganize the knowledge circuit according to the knowledge association information between the unmastered knowledge and different mastered knowledge to obtain the learner's consolidation knowledge circuit, and construct the learner's consolidation VR scene by taking the unmastered content as the consolidation focus;

[0049] Step 43: In the consolidation VR scenario, guide the learner to consolidate the knowledge they have not yet mastered one by one.

[0050] This invention provides a VR simulation training system for power distribution network maintenance and management, comprising:

[0051] The sample generation module is used to construct a three-dimensional power distribution model based on environmental data corresponding to different power distribution network environments, and to construct a maintenance management plan corresponding to each power distribution network environment in combination with the maintenance management projects issued by the manager, thereby generating several training samples.

[0052] The scenario training module is used to guide learners to wear VR headsets, retrieve corresponding learning maintenance and management plans based on the learning plan selected by the learners, and construct several VR training scenarios for the learners in combination with corresponding learning training samples.

[0053] The knowledge learning module is used to evaluate the learning effect of the learner based on the real-time VR training data generated by the learner during training in each VR training scenario, and to determine the content that the learner has not mastered in this session.

[0054] The knowledge consolidation module is used to construct the learner's unmastered knowledge and corresponding knowledge circuits based on the content not mastered this time, generate a consolidation VR scene for the learner, and guide the learner to consolidate their learning.

[0055] In one feasible approach

[0056] The sample generation module includes:

[0057] The environment creation unit is used to determine the corresponding power distribution network environment based on the learning objectives uploaded by the manager, search for several corresponding power distribution environment information in the big data, identify several power distribution feature points contained in each of the power distribution environment information, and construct a virtual typical power distribution network environment based on the power distribution feature points and the environmental characteristics of the power distribution network environment.

[0058] The information construction unit is used to construct a three-dimensional power distribution model corresponding to the power distribution network environment in a preset three-dimensional space based on the environmental data of the virtual typical power distribution network environment, draw network circuit information corresponding to the power distribution network environment based on the three-dimensional power distribution model, and construct an environmental information set based on the three-dimensional power distribution model and network power information corresponding to each power distribution network environment.

[0059] The maintenance positioning unit is used to obtain the semantic content of the annotation of the environmental information set by the manager, construct the maintenance management project corresponding to each distribution network environment by combining basic power grid knowledge, and determine the maintenance management equipment corresponding to each maintenance management project.

[0060] The scheme generation unit is used to determine the maintenance management parameters corresponding to the maintenance management project based on the equipment data corresponding to each maintenance management device, and input each maintenance management project and the corresponding maintenance management parameters into the set location corresponding to the environmental information set for environmental fusion to obtain the maintenance management scheme corresponding to each power distribution network environment.

[0061] The beneficial effects of the above technical solution are as follows: To construct a method and system suitable for university learning that enables immersive learning and helps students learn and consolidate knowledge, three-dimensional power distribution models are first constructed for different power distribution network environments, and corresponding maintenance and management schemes are determined. Training samples corresponding to each maintenance and management scheme are identified, which can highly reproduce real power distribution scenarios, making the training samples closer to actual maintenance needs, improving the practicality of subsequent training, and facilitating teaching management and quality control. When learners are engaged in learning, the system provides them with the maintenance and management schemes they desire and constructs corresponding VR training scenarios to assist students in learning maintenance and management. This virtual-real combination enhances the learning experience. Sensory experience and immersive learning enhance knowledge absorption efficiency, combining theoretical knowledge with practical operation to achieve an integrated "learning and practice" teaching model. Furthermore, real-time VR training data is used to evaluate student learning outcomes, identify areas of weakness, pinpoint areas of failure, and promptly help students identify their shortcomings. Based on these gaps in knowledge, new VR scenarios are generated to reinforce learning, guiding students to consolidate their understanding. By gradually overcoming these weaknesses, learners gain a sense of accomplishment, enhancing their learning motivation and confidence in handling practical work. This approach not only improves the quality of higher education but also ensures that every student masters the knowledge, protecting their safety in future work.

[0062] Other features and advantages of the invention will be set forth in the description which follows, and will be apparent in part from the description, or may be learned by practicing the invention. The objects and other advantages of the invention may be realized and obtained by means of the structures particularly pointed out in the written description and the accompanying drawings.

[0063] The technical solution of the present invention will be further described in detail below with reference to the accompanying drawings and embodiments. Attached Figure Description

[0064] The accompanying drawings are provided to further illustrate the invention and form part of the specification. They are used together with the embodiments of the invention to explain the invention and do not constitute a limitation thereof. In the drawings:

[0065] Figure 1 This is a schematic diagram of the workflow of a VR simulation training method for power distribution network maintenance and management in an embodiment of the present invention;

[0066] Figure 2 This is a schematic diagram of the composition of a VR simulation training system for power distribution network maintenance and management according to an embodiment of the present invention. Detailed Implementation

[0067] The preferred embodiments of the present invention will be described below with reference to the accompanying drawings. It should be understood that the preferred embodiments described herein are for illustration and explanation only and are not intended to limit the present invention.

[0068] Example 1:

[0069] This embodiment provides a VR simulation training method for power distribution network maintenance and management, such as... Figure 1 As shown, it includes:

[0070] Step 1: Construct a three-dimensional power distribution model based on the environmental data corresponding to different power distribution network environments, and construct a maintenance management plan for each power distribution network environment in conjunction with the maintenance management projects issued by the manager, generating several training samples;

[0071] Step 2: Guide the learner to wear the VR headset, retrieve the corresponding learning maintenance and management plan according to the learning plan selected by the learner, and construct several VR training scenarios for the learner in combination with the corresponding learning training samples;

[0072] Step 3: Evaluate the learning effect of the learner based on the real-time VR training data generated by the learner during training in each VR training scenario, and determine the content that the learner has not mastered in this session;

[0073] Step 4: Based on the content not mastered this time, construct the learner's unmastered knowledge and corresponding knowledge circuits, generate the learner's reinforcement VR scene, and guide the learner to consolidate learning.

[0074] In this example, the power distribution network environment refers to the environment in which the power distribution network is located, such as: industrial and mining enterprise environment, construction industry environment, railway track environment, etc.

[0075] In this example, environmental data represents the data presented by the power distribution network environment, including: the status of the power grid construction, the impact of the external environment, power grid voltage data, etc.

[0076] In this example, the administrator can be a teacher and the learner can be a student. Generally, there is one administrator and multiple learners.

[0077] In this example, maintenance and management projects refer to projects that maintain or manage the power distribution network in the power distribution network environment, such as: grid voltage management, wire surface maintenance, routine motor maintenance, etc.

[0078] In this example, the maintenance management plan refers to the plan that needs to be executed when a maintenance management project is completed;

[0079] In this example, the training samples represent the equipment being maintained when a maintenance management plan is completed;

[0080] In this example, the learning plan refers to the plan consisting of the content that the learner uploads and wants to learn;

[0081] In this example, the learning maintenance management scheme represents the maintenance management scheme related to the learning scheme, and the learning training sample represents the training sample related to the school scheme;

[0082] In this example, real-time VR training data represents the data generated when learners are training and learning in a VR scene;

[0083] In this example, the knowledge circuit represents a circuit in a power grid related to unacquired knowledge.

[0084] The working principle and beneficial effects of the above technical solution are as follows: To construct a method and system suitable for university learning that enables immersive learning and helps students learn and consolidate knowledge, three-dimensional power distribution models are first built for different power distribution network environments, and corresponding maintenance and management schemes are determined. Training samples corresponding to each maintenance and management scheme are identified, which can highly reproduce real power distribution scenarios, making the training samples closer to actual maintenance needs, improving the practicality of subsequent training, facilitating teaching management and quality control. When learners are engaged in learning, the system provides them with the maintenance and management schemes they desire and constructs corresponding VR training scenarios to assist students in learning maintenance and management. This combination of virtual and real methods enhances the learning experience. Sensory experience and immersive learning enhance knowledge absorption efficiency, combining theoretical knowledge with practical operation to achieve an integrated "learning and practice" teaching model. Furthermore, real-time VR training data is used to evaluate student learning outcomes, identify areas of weakness, pinpoint areas of failure, and promptly help students identify their shortcomings. Based on these gaps in knowledge, new VR scenarios are generated to reinforce learning, guiding students to consolidate their understanding. By gradually overcoming these weaknesses, learners gain a sense of accomplishment, enhancing their learning motivation and confidence in handling practical work. This approach not only improves the quality of higher education but also ensures that every student masters the knowledge, protecting their safety in future work.

[0085] Example 2:

[0086] Based on Example 1, the VR simulation training method for power distribution network maintenance and management is characterized by constructing a maintenance and management scheme corresponding to each power distribution network environment, including:

[0087] Step 11: Determine the corresponding power distribution network environment based on the learning objectives uploaded by the manager, search for several power distribution environment information in the big data, identify several power distribution feature points contained in each power distribution environment information, and construct a virtual typical power distribution network environment based on the power distribution feature points and the environmental characteristics of the power distribution network environment.

[0088] Step 12: Construct a three-dimensional power distribution model corresponding to the power distribution network environment in a preset three-dimensional space based on the environmental data of the virtual typical power distribution network environment; draw the network circuit information corresponding to the power distribution network environment based on the three-dimensional power distribution model; and construct an environmental information set based on the three-dimensional power distribution model and network power information corresponding to each power distribution network environment.

[0089] Step 13: Obtain the semantic content of the environmental information set labeled by the manager, construct the maintenance management project corresponding to each distribution network environment in combination with basic power grid knowledge, and determine the maintenance management equipment corresponding to each maintenance management project;

[0090] Step 14: Determine the maintenance management parameters corresponding to the maintenance management items based on the equipment data corresponding to each maintenance management device, and input each maintenance management item and the corresponding maintenance management parameters into the set location corresponding to the environmental information set for environmental fusion to obtain the maintenance management scheme corresponding to each power distribution network environment.

[0091] In this example, the learning objective represents the goal that needs to be achieved in this learning activity;

[0092] In this example, the power distribution environment information represents the power distribution environment relevant to the learning objective;

[0093] In this example, the distribution characteristics represent the features exhibited in the distribution network environment;

[0094] In this example, the virtual typical distribution network environment refers to a typical virtual distribution network environment established in virtual space that is related to the distribution network environment.

[0095] In this example, the preset three-dimensional space represents the three-dimensional space used for virtual simulation;

[0096] In this example, network circuit information represents the information presented about the power distribution network environment;

[0097] In this example, the labeled semantic content represents the result of the administrator marking the environmental information set according to the teaching task;

[0098] In this example, one maintenance management project corresponds to one maintenance management device;

[0099] In this example, the maintenance management parameters represent the parameters that should be displayed after maintenance management of a maintenance management device has been completed;

[0100] In this example, environmental fusion refers to the process of adjusting environmental parameters in the integration of environmental information using maintenance and management parameters;

[0101] In this example, a three-dimensional power distribution model and network power information correspond to a set location.

[0102] The working principle and beneficial effects of the above technical solution are as follows: To ensure teaching quality and impart correct knowledge to students, it is necessary to generate correct maintenance and management solutions. First, based on the learning objectives uploaded by the administrator and combined with the power distribution environment information in big data, a virtual typical power distribution network environment for each power distribution environment is constructed. This highly abstracts and restores the core elements of the real power distribution scenario, ensuring the consistency between the virtual environment and the actual working scenario, and improving the practicality of the training. Then, through virtual modeling, a three-dimensional power distribution model corresponding to each power distribution network environment is constructed, and the corresponding network circuit information is drawn, constructing a corresponding environmental information set. This provides comprehensive data support for the maintenance and management solution, enabling the training to be more effective. This approach more closely aligns with actual operational logic, facilitating precise matching and retrieval of subsequent maintenance and management projects. It lays the foundation for establishing a standardized training system. Then, based on the manager's annotations and semantic content combined with basic power grid knowledge, the maintenance and management equipment for each project is determined. This not only clarifies the projects to be completed but also provides corresponding operational location guidance for each project. Finally, the maintenance and management parameters for each project are determined and integrated into the environmental information, generating a maintenance and management plan for the power distribution network environment. This method not only meets the learning needs of students at different grade levels but also ensures the quality of teaching by having experienced instructors write scripts based on the materials, standardize the system, and implement teaching.

[0103] Example 3:

[0104] Based on Example 1, the VR simulation training method for power distribution network maintenance and management generates several training samples, including:

[0105] The maintenance management objective of each maintenance management scheme is determined based on the maintenance management equipment corresponding to each maintenance management scheme and the working function of the maintenance management equipment in the corresponding power distribution network environment.

[0106] Each of the aforementioned maintenance management schemes is simulated to obtain the process of achieving the corresponding maintenance management objective;

[0107] During the simulation process, the correlation and influence information between the three-dimensional power distribution model and the implementation process is extracted;

[0108] In the corresponding power distribution network environment, search for the power grid equipment related to each of the associated impact information to obtain the equipment presentation characteristics corresponding to each of the power grid equipment;

[0109] When the device exhibits positive characteristics, the implementation process is determined to be an effective process of the maintenance management scheme;

[0110] Conversely, in the three-dimensional power distribution model, several connecting devices related to the maintenance and management equipment are identified. According to the maintenance and management purpose, cyclical equipment maintenance and management are performed on each of the connecting devices in the three-dimensional power distribution model until the equipment corresponding to the power grid equipment shows a positive feature. Based on the equipment maintenance and management process corresponding to each connecting device, an effective process of constructing the maintenance and management scheme is formed.

[0111] Each device included in the effective process is considered as a training sample when the learner learns the management and maintenance scheme.

[0112] In this example, the correlation impact information represents the relationship between the three-dimensional power distribution model and the implementation process;

[0113] In this example, "grid equipment" refers to equipment in the distribution network environment that is related to the associated impact relationships.

[0114] In this example, the device presentation characteristics represent the features exhibited by power grid equipment in its distribution network environment;

[0115] In this example, positive features represent the characteristics exhibited by power grid equipment when it is in normal operating condition;

[0116] In this example, the connecting device refers to a device that has a line connection or a network connection with the maintenance and management equipment;

[0117] The working principle and beneficial effects of the above technical solution are as follows: To determine the equipment required for the execution of each maintenance management plan, the working functions of the maintenance management equipment in the power distribution network environment are first determined based on the maintenance management plan and its corresponding maintenance management equipment, thereby determining the maintenance management purpose of the maintenance management plan. Then, the implementation process of the maintenance management plan is simulated. Based on the correlation and influence information between the three-dimensional power distribution model and the implementation process, it is determined whether all equipment in the power distribution network environment is in normal operating condition. Different processing is carried out for different situations to obtain training samples for each maintenance management plan. In this way, the training samples can focus on the operating indicators of core equipment, avoid interference from secondary information, improve training efficiency, help learners understand the systematic nature of the power distribution network and the correlation between equipment, avoid viewing maintenance tasks in isolation, improve the overall fault diagnosis and handling capabilities, and provide students with correct knowledge and practical learning solutions.

[0118] Example 4:

[0119] Based on Example 1, the VR simulation training method for power distribution network maintenance and management, step 2 includes:

[0120] Step 21: Guide the learner to wear the VR headset according to the wearing standard, obtain the learning plan selected by the learner, and determine the learning power distribution network environment and corresponding learning maintenance management plan for the learner's current learning based on the learning plan;

[0121] Step 22: Based on the learning maintenance management plan, determine several learning priorities and learning difficulties for this learning, find the training samples corresponding to the learning maintenance management plan, and identify the first training sample point corresponding to each learning priority and the second training sample point corresponding to each learning difficulty in the training samples.

[0122] Step 23: Control Unity to construct the initial scene for this learning based on the power distribution environment data corresponding to the learning power distribution network environment. In the initial scene, locate each of the first training sample and each of the second training sample points to obtain several learning scene points. Use the learning maintenance management scheme to determine the learning content corresponding to each learning scene point.

[0123] Step 24: Arrange the initial scene using the learning content to obtain the VR training scene corresponding to each learning content, and retrieve and display the corresponding VR training scene according to the selected command issued by the learner.

[0124] In this example, the first training sample point represents the content related to the learning focus in the training sample, and the second training sample point represents the content related to the learning difficulty in the training sample. The terms "first" and "second" are used to distinguish two different sample points and do not have the function of ranking or comparison.

[0125] In this example, scene setup refers to the process of adjusting the initial scene according to the learning content. The adjustments include: posing questions, highlighting key points, explaining, etc.

[0126] The working principle and beneficial effects of the above technical solution are as follows: To provide students with realistic scenarios, enabling them to feel immersed and motivated to learn, after students have prepared for training, the power distribution network environment and corresponding maintenance plan for this learning session are determined based on their selected learning plan. The key learning points and difficulties are identified and highlighted in the training samples. Then, Unity technology is used to create scenarios, making the learning process closer to real-world work situations. This reduces safety risks in actual operations and strengthens muscle memory and emergency response capabilities through repeated practice. The corresponding training points are located in the initial scenario, and the learning content corresponding to each training point is determined. The initial scenario is then arranged to obtain the corresponding VR training scenario. Under the student's command, the corresponding VR training scenario is retrieved for the training process. Learners can choose their own learning plans to meet personalized needs. At the same time, standardized training samples and scenario construction processes ensure teaching quality, providing students with a guaranteed immersive training experience, effectively enhancing the relevance and purpose of learning, and avoiding a disconnect between training content and needs.

[0127] Example 5:

[0128] Based on Example 4, the VR simulation training method for power distribution network maintenance and management further includes:

[0129] When the learner selects multiple learning schemes at the same time, the learning schemes belonging to the same power distribution network environment will be subjected to knowledge point logic analysis to construct corresponding knowledge concept maps.

[0130] The training samples corresponding to the learning scheme are fused according to the knowledge concept map to generate a multi-knowledge VR training scene for each power distribution network environment.

[0131] The learner will select a scenario and display the corresponding multi-knowledge VR training scenario.

[0132] The working principle and beneficial effects of the above technical solution are as follows: When students undertake multiple learning tasks at once, in order to save students' time and provide them with a systematic learning process, the learning solutions belonging to the same power distribution network environment are studied in a unified manner, which helps students build a complete knowledge system and improve their comprehensive ability to deal with multi-dimensional problems in real operation and maintenance.

[0133] Example 6:

[0134] Based on Example 1, the VR simulation training method for power distribution network maintenance and management, step 3 includes:

[0135] Step 31: Obtain the learner's real-time VR training data, divide the real-time VR training data into several scene training data segments according to the training time period corresponding to each VR training scene, and determine the timestamp corresponding to each scene training data segment.

[0136] Step 32: Perform learner behavior analysis on each training data segment of the scene, determine several learning training points of the learner in the corresponding VR training scene, and obtain the learning training operation corresponding to each learning training point.

[0137] Step 33: Arrange the learning and training operations corresponding to different VRs according to the timestamp order to obtain the learner's learning coherent actions, and construct the learner's learned knowledge at different times according to the response characteristics of each VR training scene to the learning coherent actions.

[0138] Step 34: Generate test questions based on each piece of learned knowledge, obtain the learner's test answers, determine several pieces of knowledge to be learned by the learner according to the learning management and maintenance plan, analyze the learner's learning effect based on the data difference between the knowledge to be learned and the learned knowledge, combined with the accuracy of the test answers, and determine the content that the learner has not mastered this time.

[0139] In this example, the training time period refers to the time period during which a VR training scene is displayed. Since this VR training scene is displayed within this time period, it indicates that the student only studied and trained for this scene during this time period.

[0140] In this example, the timestamp represents the start time of the training time period corresponding to the scene training data segment;

[0141] In this example, the learning training point represents the training point that the learner has already completed during the learning process.

[0142] The working principle and beneficial effects of the above technical solution are as follows: To further ensure students' learning effectiveness, real-time VR training data is collected to monitor students' learning. The real-time VR training data is segmented and assigned corresponding timestamps based on the presentation time periods of different VR training scenarios. This transforms learners' operational behaviors into structured data with a time sequence, facilitating subsequent analysis of the continuity and stage performance of the learning process along a time dimension. Student behavior analysis identifies completed learning points and corresponding learning operations. These operations are arranged sequentially using timestamps to obtain students' learning actions in the VR training scenario, thereby deducing their corresponding learned knowledge and providing data support for subsequent teaching. Finally, learning effectiveness is analyzed through question testing and learning content identification to determine the content not mastered. This two-dimensional evaluation determines students' learning effectiveness, avoiding the bias of a single test. Furthermore, through a data-driven approach, operational behaviors in VR training are transformed into analyzable quantitative indicators, achieving full-process digitalization from learning process recording to effectiveness evaluation.

[0143] Example 7:

[0144] Based on Example 6, the VR simulation training method for power distribution network maintenance and management further includes:

[0145] When the learner's unmastered content is 0, it is determined that the learner has completed the current learning session, and a summary of the learner's current learning knowledge is generated and displayed.

[0146] The working principle and beneficial effects of the above technical solution are as follows: After learners complete their learning tasks and master all the knowledge points, a knowledge summary is generated for them to facilitate their subsequent review.

[0147] Example 8:

[0148] Based on Example 1, the VR simulation training method for power distribution network maintenance and management, step 4 includes...

[0149] Step 41: Identify the unmastered training samples corresponding to each of the unmastered contents, and perform sample identification in the target three-dimensional power distribution model corresponding to the unmastered training samples to obtain several unmastered knowledge of the learner and the knowledge circuit corresponding to each unmastered knowledge.

[0150] Step 42: Reorganize the knowledge circuit according to the knowledge association information between the unmastered knowledge and different mastered knowledge to obtain the learner's consolidation knowledge circuit, and construct the learner's consolidation VR scene by taking the unmastered content as the consolidation focus;

[0151] Step 43: Guide the learner to consolidate the unmastered knowledge one by one in the consolidation VR scenario;

[0152] In this example, "unknown training samples" refers to training samples for which knowledge has not been acquired.

[0153] In this example, the target 3D power distribution model represents a model for which the power distribution network environment in which the training samples are located is unknown;

[0154] In this example, the knowledge consolidation circuit represents the circuit that learners need when consolidating knowledge.

[0155] The working principle and beneficial effects of the above technical solution are as follows: By utilizing training samples of unmastered content and a 3D power distribution model, learners' unmastered knowledge and knowledge circuits are constructed. Through circuit reorganization, knowledge consolidation circuits are built, and corresponding consolidation VR scenes are created. This helps learners understand the position and impact of a single knowledge point in the entire power distribution system, avoids fragmented learning, establishes systematic cognition, treats unmastered content as a key point for consolidation, avoids repetitive learning of already mastered content, improves training efficiency, and finally guides learners to learn unmastered knowledge one by one to complete the consolidation operation. This allows training resources to accurately focus on students' weak points and shortens the skill improvement cycle.

[0156] Example 9:

[0157] This embodiment provides a VR simulation training system for power distribution network maintenance and management, such as... Figure 2 As shown, it includes:

[0158] The sample generation module is used to construct a three-dimensional power distribution model based on environmental data corresponding to different power distribution network environments, and to construct a maintenance management plan corresponding to each power distribution network environment in combination with the maintenance management projects issued by the manager, thereby generating several training samples.

[0159] The scenario training module is used to guide learners to wear VR headsets, retrieve corresponding learning maintenance and management plans based on the learning plan selected by the learners, and construct several VR training scenarios for the learners in combination with corresponding learning training samples.

[0160] The knowledge learning module is used to evaluate the learning effect of the learner based on the real-time VR training data generated by the learner during training in each VR training scenario, and to determine the content that the learner has not mastered in this session.

[0161] The knowledge consolidation module is used to construct the learner's unmastered knowledge and corresponding knowledge circuits based on the content not mastered this time, generate a consolidation VR scene for the learner, and guide the learner to consolidate their learning.

[0162] In this example, the power distribution network environment refers to the environment in which the power distribution network is located, such as: industrial and mining enterprise environment, construction industry environment, railway track environment, etc.

[0163] In this example, environmental data represents the data presented by the power distribution network environment, including: the status of the power grid construction, the impact of the external environment, power grid voltage data, etc.

[0164] In this example, the administrator can be a teacher and the learner can be a student. Generally, there is one administrator and multiple learners.

[0165] In this example, maintenance and management projects refer to projects that maintain or manage the power distribution network in the power distribution network environment, such as: grid voltage management, wire surface maintenance, routine motor maintenance, etc.

[0166] In this example, the maintenance management plan refers to the plan that needs to be executed when a maintenance management project is completed;

[0167] In this example, the training samples represent the equipment being maintained when a maintenance management plan is completed;

[0168] In this example, the learning plan refers to the plan consisting of the content that the learner uploads and wants to learn;

[0169] In this example, the learning maintenance management scheme represents the maintenance management scheme related to the learning scheme, and the learning training sample represents the training sample related to the school scheme;

[0170] In this example, real-time VR training data represents the data generated when learners are training and learning in a VR scene;

[0171] In this example, the knowledge circuit represents a circuit in a power grid related to unacquired knowledge.

[0172] The working principle and beneficial effects of the above technical solution are as follows: To construct a method and system suitable for university learning that enables immersive learning and helps students learn and consolidate knowledge, three-dimensional power distribution models are first built for different power distribution network environments, and corresponding maintenance and management schemes are determined. Training samples corresponding to each maintenance and management scheme are identified, which can highly reproduce real power distribution scenarios, making the training samples closer to actual maintenance needs, improving the practicality of subsequent training, facilitating teaching management and quality control. When learners are engaged in learning, the system provides them with the maintenance and management schemes they desire and constructs corresponding VR training scenarios to assist students in learning maintenance and management. This combination of virtual and real methods enhances the learning experience. Sensory experience and immersive learning enhance knowledge absorption efficiency, combining theoretical knowledge with practical operation to achieve an integrated "learning and practice" teaching model. Furthermore, real-time VR training data is used to evaluate student learning outcomes, identify areas of weakness, pinpoint areas of failure, and promptly help students identify their shortcomings. Based on these gaps in knowledge, new VR scenarios are generated to reinforce learning, guiding students to consolidate their understanding. By gradually overcoming these weaknesses, learners gain a sense of accomplishment, enhancing their learning motivation and confidence in handling practical work. This approach not only improves the quality of higher education but also ensures that every student masters the knowledge, protecting their safety in future work.

[0173] Example 10:

[0174] Based on Example 9, the VR simulation training system for power distribution network maintenance and management, wherein the sample generation module includes:

[0175] The environment creation unit is used to determine the corresponding power distribution network environment based on the learning objectives uploaded by the manager, search for several corresponding power distribution environment information in the big data, identify several power distribution feature points contained in each of the power distribution environment information, and construct a virtual typical power distribution network environment based on the power distribution feature points and the environmental characteristics of the power distribution network environment.

[0176] The information construction unit is used to construct a three-dimensional power distribution model corresponding to the power distribution network environment in a preset three-dimensional space based on the environmental data of the virtual typical power distribution network environment, draw network circuit information corresponding to the power distribution network environment based on the three-dimensional power distribution model, and construct an environmental information set based on the three-dimensional power distribution model and network power information corresponding to each power distribution network environment.

[0177] The maintenance positioning unit is used to obtain the semantic content of the annotation of the environmental information set by the manager, construct the maintenance management project corresponding to each distribution network environment by combining basic power grid knowledge, and determine the maintenance management equipment corresponding to each maintenance management project.

[0178] The scheme generation unit is used to determine the maintenance management parameters corresponding to the maintenance management project based on the equipment data corresponding to each maintenance management device, and input each maintenance management project and the corresponding maintenance management parameters into the set location corresponding to the environmental information set for environmental fusion to obtain the maintenance management scheme corresponding to each power distribution network environment.

[0179] In this example, the learning objective represents the goal that needs to be achieved in this learning activity;

[0180] In this example, the power distribution environment information represents the power distribution environment relevant to the learning objective;

[0181] In this example, the distribution characteristics represent the features exhibited in the distribution network environment;

[0182] In this example, the virtual typical distribution network environment refers to a typical virtual distribution network environment established in virtual space that is related to the distribution network environment.

[0183] In this example, the preset three-dimensional space represents the three-dimensional space used for virtual simulation;

[0184] In this example, network circuit information represents the information presented about the power distribution network environment;

[0185] In this example, the labeled semantic content represents the result of the administrator marking the environmental information set according to the teaching task;

[0186] In this example, one maintenance management project corresponds to one maintenance management device;

[0187] In this example, the maintenance management parameters represent the parameters that should be displayed after maintenance management of a maintenance management device has been completed;

[0188] In this example, environmental fusion refers to the process of adjusting environmental parameters in the integration of environmental information using maintenance and management parameters;

[0189] In this example, a three-dimensional power distribution model and network power information correspond to a set location.

[0190] The working principle and beneficial effects of the above technical solution are as follows: To ensure teaching quality and impart correct knowledge to students, it is necessary to generate correct maintenance and management solutions. First, based on the learning objectives uploaded by the administrator and combined with the power distribution environment information in big data, a virtual typical power distribution network environment for each power distribution environment is constructed. This highly abstracts and restores the core elements of the real power distribution scenario, ensuring the consistency between the virtual environment and the actual working scenario, and improving the practicality of the training. Then, through virtual modeling, a three-dimensional power distribution model corresponding to each power distribution network environment is constructed, and the corresponding network circuit information is drawn, constructing a corresponding environmental information set. This provides comprehensive data support for the maintenance and management solution, enabling the training to be more effective. This approach more closely aligns with actual operational logic, facilitating precise matching and retrieval of subsequent maintenance and management projects. It lays the foundation for establishing a standardized training system. Then, based on the manager's annotations and semantic content combined with basic power grid knowledge, the maintenance and management equipment for each project is determined. This not only clarifies the projects to be completed but also provides corresponding operational location guidance for each project. Finally, the maintenance and management parameters for each project are determined and integrated into the environmental information, generating a maintenance and management plan for the power distribution network environment. This method not only meets the learning needs of students at different grade levels but also ensures the quality of teaching by having experienced instructors write scripts based on the materials, standardize the system, and implement teaching.

[0191] Obviously, those skilled in the art can make various modifications and variations to this invention without departing from its spirit and scope. Therefore, if these modifications and variations fall within the scope of the claims of this invention and their equivalents, this invention also intends to include these modifications and variations.

Claims

1. A VR simulation training method for distribution network maintenance and management, characterized in that, include: Step 1: Construct a three-dimensional power distribution model based on the environmental data corresponding to different power distribution network environments, and construct a maintenance management plan for each power distribution network environment in conjunction with the maintenance management projects issued by the manager, generating several training samples; Step 2: Guide the learner to wear the VR headset, retrieve the corresponding learning maintenance and management plan according to the learning plan selected by the learner, and construct several VR training scenarios for the learner in combination with the corresponding learning training samples; Step 3: Evaluate the learning effect of the learner based on the real-time VR training data generated by the learner during training in each VR training scenario, and determine the content that the learner has not mastered in this session; Step 4: Based on the content not mastered this time, construct the learner's unmastered knowledge and corresponding knowledge circuits, generate the learner's reinforcement VR scene, and guide the learner to consolidate learning; Several training samples are generated, including: The maintenance management objective of each maintenance management scheme is determined based on the maintenance management equipment corresponding to each maintenance management scheme and the working function of the maintenance management equipment in the corresponding power distribution network environment. Each of the aforementioned maintenance management schemes is simulated to obtain the process of achieving the corresponding maintenance management objective; During the simulation process, the correlation and influence information between the three-dimensional power distribution model and the implementation process is extracted; In the corresponding power distribution network environment, search for the power grid equipment related to each of the associated impact information to obtain the equipment presentation characteristics corresponding to each of the power grid equipment; When the device exhibits positive characteristics, the implementation process is determined to be an effective process of the maintenance management scheme; Conversely, in the three-dimensional power distribution model, several connecting devices related to the maintenance and management equipment are identified. According to the maintenance and management purpose, cyclical equipment maintenance and management are performed on each of the connecting devices in the three-dimensional power distribution model until the equipment corresponding to the power grid equipment shows a positive feature. Based on the equipment maintenance and management process corresponding to each connecting device, an effective process of constructing the maintenance and management scheme is formed. Each device included in the effective process is considered as a training sample when the learner learns the maintenance and management scheme.

2. The VR simulation training method for power distribution network maintenance and management as described in claim 1, characterized in that, Construct a maintenance and management plan for each of the aforementioned power distribution network environments, including: Step 11: Determine the corresponding power distribution network environment based on the learning objectives uploaded by the manager, search for several power distribution environment information in the big data, identify several power distribution feature points contained in each power distribution environment information, and construct a virtual typical power distribution network environment based on the power distribution feature points and the environmental characteristics of the power distribution network environment. Step 12: Construct a three-dimensional power distribution model corresponding to the power distribution network environment in a preset three-dimensional space based on the environmental data of the virtual typical power distribution network environment; draw the network circuit information corresponding to the power distribution network environment based on the three-dimensional power distribution model; and construct an environmental information set based on the three-dimensional power distribution model and network power information corresponding to each power distribution network environment. Step 13: Obtain the semantic content of the environmental information set labeled by the manager, construct the maintenance management project corresponding to each distribution network environment in combination with basic power grid knowledge, and determine the maintenance management equipment corresponding to each maintenance management project; Step 14: Determine the maintenance management parameters corresponding to the maintenance management items based on the equipment data corresponding to each maintenance management device, and input each maintenance management item and the corresponding maintenance management parameters into the set location corresponding to the environmental information set for environmental fusion to obtain the maintenance management scheme corresponding to each power distribution network environment.

3. The VR simulation training method for power distribution network maintenance and management as described in claim 1, characterized in that, Step 2 includes: Step 21: Guide the learner to wear the VR headset according to the wearing standard, obtain the learning plan selected by the learner, and determine the learning power distribution network environment and corresponding learning maintenance management plan for the learner's current learning based on the learning plan; Step 22: Based on the learning maintenance management plan, determine several learning priorities and learning difficulties for this learning, find the training samples corresponding to the learning maintenance management plan, and identify the first training sample point corresponding to each learning priority and the second training sample point corresponding to each learning difficulty in the training samples. Step 23: Control Unity to construct the initial scene for this learning based on the power distribution environment data corresponding to the learning power distribution network environment. In the initial scene, locate each of the first training sample and each of the second training sample points to obtain several learning scene points. Use the learning maintenance management scheme to determine the learning content corresponding to each learning scene point. Step 24: Arrange the initial scene using the learning content to obtain the VR training scene corresponding to each learning content, and retrieve and display the corresponding VR training scene according to the selected command issued by the learner.

4. The VR simulation training method for power distribution network maintenance and management as described in claim 3, characterized in that, Also includes: When the learner selects multiple learning schemes at the same time, the learning schemes belonging to the same power distribution network environment will be subjected to knowledge point logic analysis to construct corresponding knowledge concept maps. The training samples corresponding to the learning scheme are fused according to the knowledge concept map to generate a multi-knowledge VR training scene for each power distribution network environment. The learner will select a scenario and display the corresponding multi-knowledge VR training scenario.

5. The VR simulation training method for power distribution network maintenance and management as described in claim 1, characterized in that, Step 3 includes: Step 31: Obtain the learner's real-time VR training data, divide the real-time VR training data into several scene training data segments according to the training time period corresponding to each VR training scene, and determine the timestamp corresponding to each scene training data segment. Step 32: Perform learner behavior analysis on each training data segment of the scene, determine several learning training points of the learner in the corresponding VR training scene, and obtain the learning training operation corresponding to each learning training point. Step 33: Arrange the learning and training operations corresponding to different VRs according to the timestamp order to obtain the learner's learning coherent actions, and construct the learner's learned knowledge at different times according to the response characteristics of each VR training scene to the learning coherent actions. Step 34: Generate test questions based on each piece of learned knowledge, obtain the learner's test answers, determine several pieces of knowledge to be learned by the learner according to the maintenance and management plan, analyze the learner's learning effect based on the data difference between the knowledge to be learned and the learned knowledge, combined with the accuracy of the test answers, and determine the content that the learner has not mastered this time.

6. The VR simulation training method for power distribution network maintenance and management as described in claim 5, characterized in that, Also includes: When the learner's unmastered content is 0, it is determined that the learner has completed the current learning session, and a summary of the learner's current learning knowledge is generated and displayed.

7. The VR simulation training method for power distribution network maintenance and management as described in claim 1, characterized in that, Step 4 includes Step 41: Identify the unmastered training samples corresponding to each of the unmastered contents, and perform sample identification in the target three-dimensional power distribution model corresponding to the unmastered training samples to obtain several unmastered knowledge of the learner and the knowledge circuit corresponding to each unmastered knowledge. Step 42: Reorganize the knowledge circuit according to the knowledge association information between the unmastered knowledge and different mastered knowledge to obtain the learner's consolidation knowledge circuit, and construct the learner's consolidation VR scene by taking the unmastered content as the consolidation focus; Step 43: In the consolidation VR scenario, guide the learner to consolidate the knowledge they have not yet mastered one by one.

8. A VR simulation training system for power distribution network maintenance and management, characterized in that, include: The sample generation module is used to construct a three-dimensional power distribution model based on environmental data corresponding to different power distribution network environments, and to construct a maintenance management plan corresponding to each power distribution network environment in combination with the maintenance management projects issued by the manager, thereby generating several training samples. The scenario training module is used to guide learners to wear VR headsets, retrieve corresponding learning maintenance and management plans based on the learning plan selected by the learners, and construct several VR training scenarios for the learners in combination with corresponding learning training samples. The knowledge learning module is used to evaluate the learning effect of the learner based on the real-time VR training data generated by the learner during training in each VR training scenario, and to determine the content that the learner has not mastered in this session. The knowledge consolidation module is used to construct the learner's unmastered knowledge and corresponding knowledge circuits based on the content not mastered this time, generate a consolidation VR scene for the learner, and guide the learner to consolidate learning; Several training samples are generated, including: The maintenance management objective of each maintenance management scheme is determined based on the maintenance management equipment corresponding to each maintenance management scheme and the working function of the maintenance management equipment in the corresponding power distribution network environment. Each of the aforementioned maintenance management schemes is simulated to obtain the process of achieving the corresponding maintenance management objective; During the simulation process, the correlation and influence information between the three-dimensional power distribution model and the implementation process is extracted; In the corresponding power distribution network environment, search for the power grid equipment related to each of the associated impact information to obtain the equipment presentation characteristics corresponding to each of the power grid equipment; When the device exhibits positive characteristics, the implementation process is determined to be an effective process of the maintenance management scheme; Conversely, in the three-dimensional power distribution model, several connecting devices related to the maintenance and management equipment are identified. According to the maintenance and management purpose, cyclical equipment maintenance and management are performed on each of the connecting devices in the three-dimensional power distribution model until the equipment corresponding to the power grid equipment shows a positive feature. Based on the equipment maintenance and management process corresponding to each connecting device, an effective process of constructing the maintenance and management scheme is formed. Each device included in the effective process is considered as a training sample when the learner learns the maintenance management scheme.

9. The VR simulation training system for power distribution network maintenance and management as described in claim 8, characterized in that, The sample generation module includes: The environment creation unit is used to determine the corresponding power distribution network environment based on the learning objectives uploaded by the manager, search for several corresponding power distribution environment information in the big data, identify several power distribution feature points contained in each of the power distribution environment information, and construct a virtual typical power distribution network environment based on the power distribution feature points and the environmental characteristics of the power distribution network environment. The information construction unit is used to construct a three-dimensional power distribution model corresponding to the power distribution network environment in a preset three-dimensional space based on the environmental data of the virtual typical power distribution network environment, draw network circuit information corresponding to the power distribution network environment based on the three-dimensional power distribution model, and construct an environmental information set based on the three-dimensional power distribution model and network power information corresponding to each power distribution network environment. The maintenance positioning unit is used to obtain the semantic content of the annotation of the environmental information set by the manager, construct the maintenance management project corresponding to each distribution network environment by combining basic power grid knowledge, and determine the maintenance management equipment corresponding to each maintenance management project. The scheme generation unit is used to determine the maintenance management parameters corresponding to the maintenance management project based on the equipment data corresponding to each maintenance management device, and input each maintenance management project and the corresponding maintenance management parameters into the set location corresponding to the environmental information set for environmental fusion to obtain the maintenance management scheme corresponding to each power distribution network environment.

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