Three-dimensional animation practical operation type training system for electrical safety

Abstract

The invention relates to an electrical safety three-dimensional animation practical operation type training system. The system comprises a display module used for acquiring model data of a temporary power utilization scene and generating a three-dimensional simulation training video of the temporary power utilization scene according to the model data; the three-dimensional simulation training video comprises dangerous and harmful factors of the temporary power utilization scene and risk management and control measures corresponding to the dangerous and harmful factors, and a trainee is taken as a first view angle; the interaction module is used for receiving a somatosensory simulation interaction operation of the trainee for the three-dimensional simulation training video, detecting whether the somatosensory simulation interaction operation can eliminate dangerous and harmful factors or not according to the risk management and control measures, displaying an accident video corresponding to the dangerous and harmful factors when the somatosensory simulation interaction operation cannot eliminate the dangerous and harmful factors, and displaying the accident video corresponding to the dangerous and harmful factors. And when the somatosensory simulation interaction operation can eliminate dangerous and harmful factors, displaying that the examination is passed, and displaying a next three-dimensional simulation training video. By adopting the system, the authenticity of power utilization safety training can be improved.

Description

Technical Field

[0001] The present application relates to the field of computer technology, and in particular to a three-dimensional animation practical training system for electricity safety. Background Art

[0002] As a crucial infrastructure for renewable energy development, pumped-storage power station projects can achieve energy storage and regulation in power systems through the conversion of electrical energy into water potential energy, playing a vital role in the renewable energy sector. Temporary power usage is common at pumped-storage power station construction sites. This short lifespan and complex wiring environments (such as open-air, humid, dusty, and susceptible to interference) can lead to safety accidents such as electric shock and fire, endangering the personal and property safety of construction workers. To mitigate these risks and enhance safety awareness, systematic temporary power safety training is necessary to ensure that construction workers master relevant electrical knowledge and standardized operating techniques.

[0003] Traditional technologies usually rely on theoretical training, combined with videos, graphic materials, etc. to popularize knowledge. The training format is single and lacks practical operation experience. Usually, it can only provide the necessary safety knowledge education, resulting in low training participation and knowledge acceptance of construction personnel.

[0004] Therefore, there is a problem of low authenticity in the current electricity safety training technology. Summary of the Invention

[0005] Based on this, it is necessary to provide a highly realistic three-dimensional animation practical training system, method, computer equipment, computer-readable storage medium and computer program product for electricity safety in response to the above technical problems.

[0006] In a first aspect, the present application provides a three-dimensional animation practical training system for electricity safety, the system comprising: a display module and an interaction module;

[0007] The display module is configured to obtain model data of a temporary power usage scenario and generate a three-dimensional simulation training video of the temporary power usage scenario based on the model data; the three-dimensional simulation training video includes dangerous and harmful factors of the temporary power usage scenario and risk control measures corresponding to the dangerous and harmful factors, and is based on the training personnel as the first-person perspective;

[0008] The interactive module is used to receive the trainee's somatosensory simulation interactive operation on the three-dimensional simulation training video, and detect whether the somatosensory simulation interactive operation can eliminate the dangerous and harmful factors based on the risk control measures. When the somatosensory simulation interactive operation fails to eliminate the dangerous and harmful factors, the accident video corresponding to the dangerous and harmful factors is displayed; when the somatosensory simulation interactive operation can eliminate the dangerous and harmful factors, the assessment is passed and the next three-dimensional simulation training video is displayed.

[0009] In one embodiment, the display module is further used to receive the scenario type of the temporary power usage scenario selected by the trainee, and read the dangerous and harmful factors and risk control measures involved in the trainee's job position from the database as model data corresponding to the scenario type; the scenario type matches the trainee's job position, and the scenario type includes at least one of a basic scenario, an equipment deployment scenario, a line installation scenario, an equipment management scenario, a hidden danger identification scenario, and an emergency response scenario.

[0010] In one embodiment, the display module is further used to generate a three-dimensional model of the temporary power usage scenario based on the model data, perform mapping on the three-dimensional model, and perform real-time dynamic lighting on the mapped three-dimensional model to obtain the three-dimensional simulation training video.

[0011] In one embodiment, the interaction module is further configured to determine a similarity between an operation path of the somatosensory simulation interaction operation and a predetermined standard path, and determine whether the somatosensory simulation interaction operation can eliminate the dangerous and harmful factors based on the similarity.

[0012] In one embodiment, the display module is further used to generate the assessment questions based on the three-dimensional simulation training video; the interaction module is further used to receive the trainee's somatosensory simulation interaction operations on the assessment questions, and generate the trainee's assessment results based on the somatosensory simulation interaction operations.

[0013] In one embodiment, the display module is further configured to display a joystick corresponding to the assessment question, and adjust the display range of the assessment question in response to the trainee long-pressing the joystick.

[0014] In one embodiment, the interaction module is further configured to determine a bounding box corresponding to the assessment question, perform collision detection on the somatosensory simulation interaction operation according to the bounding box, and obtain the assessment result.

[0015] In one embodiment, the system further includes an authentication module for performing facial recognition on the trainee, and sending answer instructions to the display module if the recognition is successful.

[0016] In one embodiment, the system further includes an evaluation module for generating a set of wrong questions for the trainee based on the assessment results, extracting keywords of each wrong question in the set of wrong questions, inputting the keywords into a trained recognition model, and generating learning suggestions for the trainee.

[0017] In one embodiment, the evaluation module is further used to extract a deep semantic vector from the stem of the wrong question, extract the keywords from the deep semantic vector based on the attention mechanism, determine the knowledge weaknesses of the trainee based on the similarity between the keywords and predetermined knowledge points, and generate learning suggestions for the trainee based on the knowledge weaknesses.

[0018] Secondly, this application provides a practical training method for electricity safety 3D animation, including:

[0019] Obtaining model data of a temporary power usage scenario, and generating a three-dimensional simulation training video of the temporary power usage scenario based on the model data; the three-dimensional simulation training video includes dangerous and harmful factors of the temporary power usage scenario and risk control measures corresponding to the dangerous and harmful factors, and is based on the training personnel as the first-person perspective;

[0020] Receive the trainee's somatosensory simulation interaction operation for the three-dimensional simulation training video, detect whether the somatosensory simulation interaction operation can eliminate the dangerous and harmful factors according to the risk control measures, when the somatosensory simulation interaction operation fails to eliminate the dangerous and harmful factors, display the accident video corresponding to the dangerous and harmful factors, when the somatosensory simulation interaction operation can eliminate the dangerous and harmful factors, display the assessment passed and display the next three-dimensional simulation training video.

[0021] In a third aspect, the present application further provides a computer device comprising a memory and a processor, wherein the memory stores a computer program, and when the processor executes the computer program, the following steps are implemented:

[0022] Obtaining model data of a temporary power usage scenario, and generating a three-dimensional simulation training video of the temporary power usage scenario based on the model data; the three-dimensional simulation training video includes dangerous and harmful factors of the temporary power usage scenario and risk control measures corresponding to the dangerous and harmful factors, and is based on the training personnel as the first-person perspective;

[0023] Receive the trainee's somatosensory simulation interaction operation for the three-dimensional simulation training video, detect whether the somatosensory simulation interaction operation can eliminate the dangerous and harmful factors according to the risk control measures, when the somatosensory simulation interaction operation fails to eliminate the dangerous and harmful factors, display the accident video corresponding to the dangerous and harmful factors, when the somatosensory simulation interaction operation can eliminate the dangerous and harmful factors, display the assessment passed and display the next three-dimensional simulation training video.

[0024] In a fourth aspect, the present application further provides a computer-readable storage medium having a computer program stored thereon, wherein when the computer program is executed by a processor, the following steps are implemented:

[0025] Obtaining model data of a temporary power usage scenario, and generating a three-dimensional simulation training video of the temporary power usage scenario based on the model data; the three-dimensional simulation training video includes dangerous and harmful factors of the temporary power usage scenario and risk control measures corresponding to the dangerous and harmful factors, and is based on the training personnel as the first-person perspective;

[0026] Receive the trainee's somatosensory simulation interaction operation for the three-dimensional simulation training video, detect whether the somatosensory simulation interaction operation can eliminate the dangerous and harmful factors according to the risk control measures, when the somatosensory simulation interaction operation fails to eliminate the dangerous and harmful factors, display the accident video corresponding to the dangerous and harmful factors, when the somatosensory simulation interaction operation can eliminate the dangerous and harmful factors, display the assessment passed and display the next three-dimensional simulation training video.

[0027] In a fifth aspect, the present application further provides a computer program product, comprising a computer program, which, when executed by a processor, implements the following steps:

[0028] Obtaining model data of a temporary power usage scenario, and generating a three-dimensional simulation training video of the temporary power usage scenario based on the model data; the three-dimensional simulation training video includes dangerous and harmful factors of the temporary power usage scenario and risk control measures corresponding to the dangerous and harmful factors, and is based on the training personnel as the first-person perspective;

[0029] Receive the trainee's somatosensory simulation interaction operation for the three-dimensional simulation training video, detect whether the somatosensory simulation interaction operation can eliminate the dangerous and harmful factors according to the risk control measures, when the somatosensory simulation interaction operation fails to eliminate the dangerous and harmful factors, display the accident video corresponding to the dangerous and harmful factors, when the somatosensory simulation interaction operation can eliminate the dangerous and harmful factors, display the assessment passed and display the next three-dimensional simulation training video.

[0030] The above-mentioned three-dimensional animation practical training system, method, computer equipment, computer-readable storage medium and computer program product for electricity safety obtains model data of temporary electricity usage scenarios, and generates three-dimensional simulation training videos of temporary electricity usage scenarios based on the model data. The three-dimensional simulation training video contains dangerous and harmful factors of temporary electricity usage scenarios and risk control measures corresponding to the dangerous and harmful factors. It takes the trainee as the first perspective, receives the trainee's somatosensory simulation interaction operations for the three-dimensional simulation training video, and detects whether the somatosensory simulation interaction operations can eliminate the dangerous and harmful factors based on the risk control measures. When the somatosensory simulation interaction operations fail to eliminate the dangerous and harmful factors, the accident video corresponding to the dangerous and harmful factors is displayed. When the somatosensory simulation interaction operations can eliminate the dangerous and harmful factors, the assessment is passed and the next three-dimensional simulation training video is displayed. Electricity safety training can be conducted based on the visualized three-dimensional simulation training video, and the corresponding accident consequences can be displayed when incorrect operations are performed on dangerous and harmful factors, thereby increasing the authenticity of electricity safety training.

[0031] Furthermore, the above-mentioned three-dimensional animation practical training system for electricity safety is the first application of three-dimensional practical electricity safety education in the pumped-storage power station construction industry. It is the first time that three-dimensional animation of risk identification and control measures for multiple trades and scenarios has been realized based on the pumped-storage power station operation risk database. The training effect has been improved compared with traditional methods. In addition, it also pioneered a situational awareness practical training and examination module, which automatically determines whether the operation is correct through body language, can analyze the knowledge gaps and weak links of the trainees in multiple dimensions, and automatically generate training and learning suggestions. BRIEF DESCRIPTION OF THE DRAWINGS

[0032] In order to more clearly illustrate the technical solutions in the embodiments of the present application or related technologies, the following briefly introduces the drawings required for use in the embodiments of the present application or related technical descriptions. Obviously, the drawings described below are only some embodiments of the present application. For ordinary technicians in this field, other related drawings can be obtained based on these drawings without paying any creative work.

[0033] Figure 1 This is a structural block diagram of a practical training system for three-dimensional animation of electrical safety in one embodiment;

[0034] Figure 2 A flowchart of a process for automatically generating personalized training feedback in one embodiment is shown;

[0035] Figure 3 A schematic diagram of a startup interface of a practical 3D animation training system for electricity safety in one embodiment;

[0036] Figure 4A schematic diagram of a course learning interface for a practical 3D animation training system for electrical safety in one embodiment;

[0037] Figure 5 A schematic diagram of a face recognition interface of a practical 3D animation training system for electricity safety in one embodiment;

[0038] Figure 6 A schematic diagram of a joystick display range adjustment interface for a practical 3D animation training system for electrical safety in one embodiment. DETAILED DESCRIPTION

[0039] In order to make the purpose, technical solutions and advantages of this application more clear, the following further describes this application in detail with reference to the accompanying drawings and embodiments. It should be understood that the specific embodiments described herein are only used to explain this application and are not intended to limit this application.

[0040] It should be noted that the terms "first," "second," and the like in the specification and claims of the present disclosure and the above-mentioned drawings are used to distinguish similar objects and are not necessarily used to describe a specific order or precedence. It should be understood that the numbers used in this manner are interchangeable where appropriate so that the embodiments of the present disclosure described herein can be implemented in an order other than those illustrated or described herein. The embodiments described in the following exemplary embodiments do not represent all embodiments consistent with the present disclosure. Instead, they are merely examples of apparatus and methods consistent with certain aspects of the present disclosure as detailed in the appended claims.

[0041] In an exemplary embodiment, Figure 1 As shown, a 3D animation practical training system for electricity safety is provided. This embodiment uses the system applied to a terminal as an example. It is understandable that the system can also be applied to a server, or to a system including a terminal and a server, and implemented through the interaction between the terminal and the server. In this embodiment, the system includes: a display module 101 and an interaction module 102;

[0042] Display module 101 is used to obtain model data of a temporary power usage scenario and generate a three-dimensional simulation training video of the temporary power usage scenario based on the model data; the three-dimensional simulation training video includes dangerous and harmful factors of the temporary power usage scenario and corresponding risk control measures, and is based on the training personnel as the first-person perspective;

[0043] The interactive module 102 is used to receive the training personnel's somatosensory simulation interactive operations on the three-dimensional simulation training video, and detect whether the somatosensory simulation interactive operations can eliminate dangerous and harmful factors based on risk control measures. When the somatosensory simulation interactive operations fail to eliminate the dangerous and harmful factors, the accident video corresponding to the dangerous and harmful factors is displayed. When the somatosensory simulation interactive operations can eliminate the dangerous and harmful factors, the assessment is passed and the next three-dimensional simulation training video is displayed.

[0044] Temporary power usage scenarios refer to temporary power usage during the construction of a pumped-storage power station project. Model data includes, but is not limited to, data related to temporary power usage in 3D scenes, props, and character models. For example, data on core hydropower project construction components such as distribution boxes, cables, grounding devices, underground caverns, and generator layers. 3D simulation training videos can be 3D visualization training videos. Trainers are those who require power safety training. Dangerous and harmful factors refer to events that pose safety hazards in temporary power usage scenarios, such as distribution boxes not arranged according to regulations or improper line installation. Risk control measures refer to various measures taken to address dangerous and harmful factors.

[0045] Among them, dangerous and harmful factors and risk control measures are comprehensively identified and formulated by experts organized by the development team based on the various sub-projects and construction processes of the pumped-storage power station project to ensure that the identification scope is comprehensive and the control measures are operational.

[0046] The somatosensory simulation interactive operation refers to the operation in which the trainee interacts with the 3D animation practical training system for electrical safety through gestures, movement states, etc. The accident video can be a 3D visual video showing the consequences of the accident.

[0047] In the specific implementation, the model data of the temporary power usage scenario can be input into the display module. The display module performs three-dimensional visual simulation based on the model data to generate a three-dimensional simulation training video that includes various dangerous and harmful factors in the temporary power usage scenario and the risk control measures corresponding to the dangerous and harmful factors. The display module can play the three-dimensional simulation training video from the trainee's first perspective.

[0048] The trainees can perform somatosensory simulation interactive operations on the dangerous and harmful factors in the three-dimensional simulation training video. The somatosensory simulation interactive operations can express the risk control measures implemented by the trainees for the dangerous and harmful factors through body language. The interactive module receives the somatosensory simulation interactive operations and detects whether the somatosensory simulation interactive operations can eliminate the dangerous and harmful factors in the three-dimensional simulation training video according to the risk control measures stored in the system background. If the somatosensory simulation interactive operations do not match the risk control measures corresponding to the dangerous and harmful factors, the dangerous and harmful factors cannot be correctly eliminated, or there are omitted dangerous and harmful factors that cannot be eliminated. At this time, the interactive module can determine that the trainee has failed the assessment and play the accident video of the dangerous and harmful factors. Otherwise, if the somatosensory simulation interactive operations match the risk control measures corresponding to the dangerous and harmful factors, the dangerous and harmful factors can be correctly eliminated. At this time, the interactive module can prompt the trainee that the assessment has passed, and play the next three-dimensional simulation training video to continue assessing the trainee.

[0049] For example, for a temporary power usage scenario, a 3D visualization assessment question can be played on the terminal. The assessment question can include various safety hazards, such as distribution boxes not arranged according to regulations or improper wiring installation. The user can eliminate the safety hazard through physical interaction, and the terminal can obtain the risk control measures corresponding to each safety hazard. If the physical interaction does not match the risk control measures corresponding to the safety hazard, it means that the physical interaction cannot correctly eliminate the safety hazard or there are missed safety hazards. In this case, the training system can play the accident consequences caused by the safety hazard, including but not limited to video and image display. If there are missed safety hazards, for example, when the user believes that all safety hazards have been eliminated and triggers the submit button, but in fact there are still safety hazards that have not been eliminated, the training system can issue a prompt message to the user for the missed safety hazards and display the accident consequences caused by the safety hazard. On the other hand, if the physical interaction matches the risk control measures corresponding to the safety hazard, it means that the physical interaction can correctly eliminate the safety hazard. At this time, the training system can notify the user that the assessment has been passed and play the next assessment question to continue the user assessment. In this case, an assessment question can be understood as a 3D simulation training video.

[0050] The above-mentioned three-dimensional animation practical training system for electricity safety obtains model data of temporary electricity usage scenarios and generates three-dimensional simulation training videos of temporary electricity usage scenarios based on the model data. The three-dimensional simulation training videos include dangerous and harmful factors of temporary electricity usage scenarios and risk control measures corresponding to the dangerous and harmful factors. With the trainees as the first perspective, the system receives the trainees' somatosensory simulation interaction operations for the three-dimensional simulation training videos, and detects whether the somatosensory simulation interaction operations can eliminate the dangerous and harmful factors based on the risk control measures. When the somatosensory simulation interaction operations fail to eliminate the dangerous and harmful factors, the accident videos corresponding to the dangerous and harmful factors are displayed. When the somatosensory simulation interaction operations can eliminate the dangerous and harmful factors, the assessment is passed and the next three-dimensional simulation training video is displayed. Electricity safety training can be conducted based on the visualized three-dimensional simulation training videos, and the corresponding accident consequences can be displayed when incorrect operations are performed on dangerous and harmful factors, thereby increasing the authenticity of electricity safety training.

[0051] In an exemplary embodiment, the above-mentioned display module is also used to receive the scenario type of the temporary power usage scenario selected by the trainee, and read the dangerous and harmful factors and risk control measures involved in the trainee's job position from the database as model data corresponding to the scenario type; the scenario type matches the trainee's job position, and the scenario type includes at least one of the basic scenario, equipment deployment scenario, line installation scenario, equipment management scenario, hidden danger identification scenario, and emergency response scenario.

[0052] Among them, job type and position refers to the job type and / or position of the trainees.

[0053] Among these scenarios, basic scenarios can include training on the basics of temporary power use. Equipment deployment scenarios can include training on how to deploy equipment such as main distribution boxes, sub-distribution boxes, final distribution boxes, main leakage protection devices, and terminal leakage protection devices. Line installation scenarios can include training on how to install overhead lines, cables, and indoor wiring. Equipment management scenarios can include training on wiring specifications and precautions for common mechanical equipment, the safe use and maintenance of mobile devices and portable power tools, and regular inspection requirements for temporary power use. Hazard identification scenarios can include training on how to identify safety hazards associated with temporary power use. Emergency response scenarios can include training on the classification of electric shock accidents, simulation of basic first aid skills such as cardiopulmonary resuscitation and artificial respiration, and emergency response methods for electric shock accidents in different scenarios.

[0054] In a specific implementation, the display device can display multiple scene types for temporary electricity usage scenarios. Multiple scene types can match the trainees' job positions. The trainees select from multiple scene types. The display module reads the model data corresponding to the scene type selected by the trainees in the database, including but not limited to dangerous and harmful factors and risk control measures related to the trainees' job positions under the scene type. The display module can generate a visual three-dimensional simulation training video based on the model data, and conduct animation teaching and assessment for the scene type selected by the trainees.

[0055] For example, the training system can display multiple scene types that are suitable for the user's job type. The user can choose from multiple scene types. Taking the user selecting the basic scene as an example, the display device can play a training course on the basic knowledge of temporary power use, including the composition and classification of temporary power systems (power and lighting), the basic principles and processes of temporary power design, commonly used electrical safety signs, and common sense of safe use of electrical equipment.

[0056] In this embodiment, by receiving the scenario type of the temporary power usage scenario selected by the trainee, the dangerous and harmful factors and risk control measures involved in the trainee's job position are read from the database as model data corresponding to the scenario type. The scenario type is matched with the trainee's job position. The scenario type includes at least one of the basic scenario, equipment deployment scenario, line installation scenario, equipment management scenario, hidden danger identification scenario, and emergency response scenario. Different dangerous and harmful factors and risk control measures can be selected according to different job types, and then different training courseware can be developed to train various key knowledge points and practical skills related to temporary power use at the construction site, thereby increasing the targeted nature of the training.

[0057] In an exemplary embodiment, the above-mentioned display module is also used to generate a three-dimensional model of a temporary electricity usage scenario based on the model data, perform mapping on the three-dimensional model, and perform real-time dynamic lighting on the mapped three-dimensional model to obtain a three-dimensional simulation training video.

[0058] In the specific implementation, the display module can first generate a three-dimensional model based on the model data, and then seamlessly map the three-dimensional model to obtain the mapped three-dimensional model. Then, it simulates the lighting environment of the construction site, provides dynamic ambient light sources, and simulates the physical behavior of light and its interaction with materials, thereby achieving realistic visual effects, ensuring the realism of lighting effects in different time periods and different scenes, and forming a three-dimensional simulation training video.

[0059] In practical applications, 3D models can be created using 3D modeling software, ensuring that each component's detail meets computer graphics (CG) standards and that the model's normals are correctly oriented to avoid overlapping surfaces. Seamless textures with resolutions ranging from 512×512 to 1024×1024 are used to ensure that each texture detail perfectly matches the objects in the scene. The UV mapping scale is dynamically adjusted based on the depth of field (reduced to 60% for distant scenes and magnified to 140% for near scenes) to optimize rendering results. The 3D modeling software's lighting system is used to simulate the construction site's lighting environment, providing dynamic ambient light sources to ensure realistic lighting effects at different times and in different scenes. Shadow transitions utilize the rendering software's progressive sampling algorithm to avoid pure black shadows (RGB values ​​are limited to #0A0A0A and above).

[0060] In this embodiment, a three-dimensional model of a temporary electricity usage scenario is generated based on model data, the three-dimensional model is mapped, and the mapped three-dimensional model is dynamically illuminated in real time to obtain a three-dimensional simulation training video. This can achieve high-precision simulation of the temporary electricity usage scenario and increase the authenticity of temporary electricity safety training.

[0061] In an exemplary embodiment, the interaction module is further configured to determine a similarity between an operation path of the somatosensory simulation interaction operation and a predetermined standard path, and determine whether the somatosensory simulation interaction operation can eliminate dangerous and harmful factors based on the similarity.

[0062] The operation path can be the trajectory of the trainee's somatosensory interaction operation, for example, the trajectory of the trainee's finger in three-dimensional space as recognized by the interaction module. The standard path can be the trajectory of a somatosensory interaction operation that can eliminate dangerous and harmful factors. The similarity can be the degree of similarity between the operation path and the standard path.

[0063] In a specific implementation, the standard path can be pre-stored in the interaction module, and the interaction module collects the operation path of the trainees' somatosensory simulation interaction operation, compares the operation path with the standard path, and calculates the similarity between the operation path and the standard path. If the similarity exceeds a preset threshold, it can be determined that the somatosensory simulation interaction operation can eliminate dangerous and harmful factors. Otherwise, if the similarity does not exceed the preset threshold, it is determined that the somatosensory simulation interaction operation fails to eliminate dangerous and harmful factors.

[0064] It should be noted that the standard path can be set in advance manually or automatically generated based on risk control measures.

[0065] For example, based on the Dynamic Time Warping (DTW) algorithm, the correspondence between the data sequence of the operation path and the data sequence of the standard path can be constructed, and the two data sequences can be nonlinearly aligned in the time domain based on the dynamic programming strategy to calculate the similarity between the operation path and the standard path.

[0066] In this embodiment, by determining the similarity between the operation path of the somatosensory simulation interaction operation and the predetermined standard path, and determining whether the somatosensory simulation interaction operation can eliminate dangerous and harmful factors based on the similarity, it is possible to quickly detect whether the somatosensory simulation interaction operation can eliminate dangerous and harmful factors, thereby improving system efficiency.

[0067] In an exemplary embodiment, the above-mentioned display module is also used to generate assessment questions based on the three-dimensional simulation training video; the interaction module is also used to receive the trainee's somatosensory simulation interaction operations on the assessment questions, and generate the trainee's assessment results based on the somatosensory simulation interaction operations.

[0068] The assessment questions may be questions used to assess the effectiveness of training, and the assessment results may include but are not limited to assessment scores, text descriptions, etc.

[0069] In a specific implementation, the display module can generate assessment questions based on the three-dimensional simulation training video. For example, dangerous and harmful factors with higher risk levels in the three-dimensional simulation training video, or dangerous and harmful factors that many users have failed to successfully eliminate, can be used as assessment questions. The trainees can use the interactive module to perform somatosensory simulation interactive operations on the assessment questions. If the somatosensory simulation interactive operation is correct, the user will be given extra points. If the somatosensory simulation interactive operation is incorrect or the question is missed, no points will be added. The final score of the trainee is counted to obtain the assessment result of the trainee.

[0070] In this embodiment, by generating assessment questions based on the three-dimensional simulation training video, receiving the trainees' somatosensory simulation interactive operations on the assessment questions, and generating the trainees' assessment results based on the somatosensory simulation interactive operations, training feedback can be obtained through interactive answering, and the user's learning situation can be understood, so as to facilitate timely adjustment of the training content and training methods according to the user's learning situation.

[0071] In an exemplary embodiment, the display module is further configured to display a joystick corresponding to the assessment question, and to adjust the display range of the assessment question in response to a long press of the joystick by the trainee.

[0072] The joystick may be a joystick for manipulating the display range of the examination questions in the display interface.

[0073] In a specific implementation, the display module can display the assessment questions and the joystick on the display interface of the terminal. The training personnel can long press the joystick to adjust the display range of the assessment questions on the display interface. For example, the assessment questions displayed on the display interface can be pictures or videos. There can be a joystick on the left and right sides of the assessment questions. The training personnel can long press the left joystick to control the picture or video of the assessment questions to move to the right to display more of the left side field of view of the assessment questions. Long press the right joystick to control the picture or video of the assessment questions to move to the left to display more of the right side field of view of the assessment questions.

[0074] In this embodiment, by displaying the joystick corresponding to the assessment question and responding to the long press operation of the joystick by the trainee, the display range of the assessment question is adjusted, which can increase the field of view of the assessment question and facilitate the display of more details.

[0075] In an exemplary embodiment, the interaction module is further configured to determine a bounding box corresponding to the assessment question, perform collision detection on the somatosensory simulation interaction operation based on the bounding box, and obtain an assessment result.

[0076] The bounding box may be a bounding box set according to the answer to the test question.

[0077] In a specific implementation, the interaction module can determine a bounding box in advance based on the assessment questions. After receiving the trainee's somatosensory simulation interaction operation for the assessment questions, the somatosensory simulation interaction operation is subjected to collision detection based on the bounding box. If the degree of collision exceeds a preset threshold, an assessment result of an inaccurate somatosensory simulation interaction operation is obtained. Otherwise, if the degree of collision does not exceed the preset threshold, an assessment result of an accurate somatosensory simulation interaction operation is obtained.

[0078] For example, in the wiring operation assessment, the training system can determine whether the cable connection is correct based on the axis-aligned bounding box (AABB) and octree space partitioning.

[0079] In this embodiment, by determining the bounding box corresponding to the assessment question, performing collision detection on the somatosensory simulation interaction operation according to the bounding box, and obtaining the assessment result, it is possible to automatically and accurately identify whether the trainee's somatosensory simulation interaction operation is correct.

[0080] In an exemplary embodiment, the system further includes an authentication module for performing facial recognition on the trainee, and sending answer instructions to the display module if the recognition is successful.

[0081] The question answering instruction may be information indicating the generation of an assessment question, for example, a message indicating the generation of a three-dimensional simulation training video.

[0082] In a specific implementation, the three-dimensional animated practical training system for electrical safety can also be provided with an authentication module, which is connected to the display module. The authentication module can perform facial recognition on the trainees. If the recognition is successful, the answer instructions are sent to the display module. When the display module receives the answer instructions, it generates assessment questions based on the three-dimensional simulation training video. Otherwise, if the facial recognition fails, the answer instructions will not be sent, and the display module will not generate assessment questions.

[0083] In this embodiment, by performing facial recognition on the trainee, if the recognition is passed, answer instructions are sent to the display module, which can verify the legitimacy of the user and ensure the security of the training system.

[0084] In an exemplary embodiment, the above system also includes an evaluation module for generating a set of wrong questions for the trainee based on the assessment results, extracting keywords from each wrong question in the set, inputting the keywords into a trained recognition model, and generating learning suggestions for the trainee.

[0085] The incorrect question set can be a collection of incorrect somatosensory simulation interaction operations in the assessment results. Recognition models include, but are not limited to, neural networks, deep learning, and artificial intelligence models. Learning suggestions can be summary texts addressing the trainee's weak points.

[0086] In specific implementation, the three-dimensional animation practical training system for electricity safety can also be equipped with an evaluation module. The evaluation module can collect all incorrect somatosensory simulation interactive operations in the trainee's assessment results to form a wrong question set, extract keywords from each wrong question in the wrong question set, and input the obtained keywords into a pre-trained recognition module to obtain personalized learning suggestions for the trainee.

[0087] In this embodiment, by generating a wrong question set for the user based on the assessment results, extracting keywords for each wrong question in the wrong question set, inputting the keywords into a trained recognition model, and generating learning suggestions for the trainees, personalized learning suggestions for the trainees can be automatically generated, facilitating the trainees to conduct targeted learning later.

[0088] In an exemplary embodiment, the above-mentioned evaluation module is also used to extract deep semantic vectors from the stems of wrong questions, extract keywords from the deep semantic vectors based on the attention mechanism, determine the knowledge weaknesses of the trainees based on the similarity between the keywords and predetermined knowledge points, and generate learning suggestions for the trainees based on the knowledge weaknesses.

[0089] A deep semantic vector is a low-dimensional dense vector mapped from text using a neural network. Semantic relevance is quantified using vector distance in a mathematical space (e.g., cosine similarity). Knowledge points can be all knowledge points associated with the practical 3D animated training system for electrical safety. Similarity measures include, but are not limited to, distance similarity and cosine similarity.

[0090] In the specific implementation, the evaluation module can extract deep semantic vectors from the question stem for each wrong question in the wrong question set through a neural network, and use the attention mechanism to extract keywords from the deep semantic vectors, calculate the similarity between the keywords and multiple predetermined knowledge points, and determine the knowledge points with higher similarity as the weak points of knowledge of the trainee, and generate personalized learning suggestions for the trainee based on the weak points of knowledge. For example, it can be recommended to increase the number of times the animation courses of weak knowledge points are played.

[0091] In this embodiment, by extracting deep semantic vectors from the stems of wrong questions, extracting keywords from the deep semantic vectors based on the attention mechanism, determining the knowledge weaknesses of the trainees based on the similarity between the keywords and predetermined knowledge points, and generating learning suggestions for the trainees based on the knowledge weaknesses, the accuracy of personalized learning suggestions can be increased.

[0092] In order to facilitate those skilled in the art to have a deeper understanding of the embodiments of the present application, a specific example will be used for illustration below.

[0093] Given that 3D visualization technology can restore real working scenes, intuitively present the risks faced during the working process, simulate emergency response measures, ensure the fun, intuitiveness and practical experience of safety education and training, and can be applied to mobile terminals, the training system can be used for learning anytime and anywhere. This application proposes a 3D network simulation operation and training system for electricity safety based on 3D visualization technology. This system is aimed at temporary power scenarios in hydropower construction and conducts safety education and training for electricians. Through highly simulated 3D animation training courses, it intuitively displays the main risks of the working site, standardized operating procedures and accident emergency response methods, and combines 3D interactive experiential assessment and personalized feedback to improve the quality of safety education and training and the safety quality of operators. The system mainly includes:

[0094] (1) Highly realistic construction scene simulation: Based on the temporary power consumption risks at the power construction site, we design and produce a highly realistic construction scene with CG-level accuracy, detailed geometric shapes and textures, and the ability to realistically simulate various safety issues that may be encountered during the construction process.

[0095] (2) Interactive operation and targeted feedback: The system combines 3D animation with interactive technology, allowing personnel to conduct complex actual operation simulations, deepening the trainees' memory and understanding of safe operations. At the same time, after the assessment, targeted feedback will be provided on each person's assessment results to explore the user's weak knowledge points and form learning suggestions and plans, effectively improving the training effect.

[0096] (3) Universal safety training course: The animated course script strictly follows the technical standards for temporary power safety. The content covers power safety knowledge, accident case analysis, risk identification and emergency response. It is developed from the first-person perspective of electricians to increase the immersion of training and practical operation ability. The modeled scenario is a typical scenario in hydropower pumped storage projects and is applicable to temporary power construction safety training in all hydropower projects.

[0097] This technical solution solves the shortcomings of existing technologies in construction power safety training by improving interactivity, simulation and systematization, and provides a more efficient, comprehensive and universal safety training solution for temporary power construction scenarios in the power construction industry.

[0098] In practice, temporary power supply at construction sites refers to the power lines and distribution facilities set up to meet the temporary power needs of machinery, lighting, and other equipment on-site. These facilities typically include various electrical devices, distribution boxes, and cabling. These power systems must be designed, installed, and used in strict accordance with temporary power safety technical standards to ensure the safety and reliability of the power supply.

[0099] Temporary power projects are characterized by short service lives and complex wiring environments (e.g., open-air, humid, dusty, and susceptible to interference). Even the slightest negligence can lead to serious safety accidents such as electric shock, short circuits, and fires, seriously endangering the personal and property safety of construction workers. To reduce risks and enhance safety awareness, systematic temporary power safety training is essential to ensure that construction workers master relevant electrical knowledge and standardized operating techniques.

[0100] Designed to address these needs, this system aims to provide the power construction industry with an intelligent, simulated, and systematic temporary power safety training solution. Using lighting simulation and virtual engine rendering technology from 3D modeling software (such as Unreal Engine), the system creates highly realistic 3D construction scenes. Integrating industry standards and typical accident cases, it comprehensively presents the deployment process and key operational points for each stage of temporary power supply.

[0101] The training content comprehensively covers key knowledge points and practical skills related to temporary power use on construction sites, closely adhering to industry standards and common risk scenarios, and mainly includes the following aspects:

[0102] (1) Basic knowledge of temporary power supply: including the composition and classification of temporary power supply systems (power supply and lighting supply), basic principles and processes of temporary power supply design, common electrical safety signs, common sense of safe use of electrical equipment, etc.;

[0103] (2) Three-level power distribution and two-level protection system: layout specifications of the three-level power distribution system structure (main distribution box, sub-distribution box, and final distribution box), setting requirements of the two-level protection devices (main leakage protection and terminal leakage protection), grounding protection and repeated grounding methods, analysis and treatment of common faults in the power distribution system, etc.;

[0104] (3) Specifications for power distribution equipment and line installation: requirements for distribution box selection, location, material, protection level, etc., cable selection, laying path, insulation protection, and joint treatment specifications; conductor specifications for overhead lines, cable laying height and spacing requirements, and insulation protection measures; burial depth of buried cables, use of protective conduits, and arrangement of warning signs; conduit laying and protective conduit configuration for indoor wiring;

[0105] (4) Management of electrical equipment on construction sites: wiring specifications and usage precautions for commonly used mechanical equipment (such as woodworking machinery, electric welding machines, tower cranes, etc.), safe use and maintenance of mobile equipment and portable power tools, and regular inspection requirements for temporary power use;

[0106] (5) Identification and prevention of hidden dangers in temporary power use: the occurrence mechanism and prevention strategies of typical electrical accidents (such as leakage, overload, fire, etc.), the use of fire extinguishers, the wearing of safety protective equipment, and the qualification requirements for electricians;

[0107] (6) Accident emergency response and electric shock first aid: classification of electric shock accidents (single-phase electric shock, two-phase electric shock, high-voltage electric shock, etc.), simulation of basic first aid skills such as cardiopulmonary resuscitation (CPR) and artificial respiration, emergency response methods for electric shock accidents in different scenarios, etc.

[0108] Users can learn through a mobile application (APP), watching highly realistic 3D training animation videos. After completing the course, they can complete simulated practical assessments in typical scenarios through interactive simulation operation modules. The system automatically records behavioral trajectories and assessment results during the learning and operation process, and synchronizes them to the PC management platform in real time, completing a closed-loop process of data statistics, results analysis, and student management, significantly improving the targeted nature of training and management efficiency.

[0109] By integrating 3D simulation technology, intelligent algorithms and multi-platform applications, the system effectively improves the immersion, practicality and intelligence of the training content, upgrading temporary power safety training from the traditional passive indoctrination mode to a new generation of digital training system that is visual, learnable, practiceable and manageable, creating a solid foundation for safe power use talent for the power construction industry.

[0110] In one embodiment, the overall architecture of a 3D network simulation operation and training system for power safety is provided. Specifically, the system can adopt a layered architecture design of "3D simulation engine layer - intelligent algorithm layer - application service layer" to support seamless adaptation on multiple platforms. The specific architecture is as follows:

[0111] (1) Data layer

[0112] Model database: stores temporary power-related 3D scenes, props, and character models (minimum accuracy 0.001m), including core components of hydropower project construction such as distribution boxes, cables, grounding devices, underground caverns, and generator layers.

[0113] Distributed storage system: This system uses a combined structured and unstructured storage architecture (for example, MySQL combined with MinIO) to implement a distributed storage architecture for structured data as well as unstructured data such as videos and files. This architecture supports high-concurrency access (IOPS > 5000), enabling real-time access to 4K video streams and user behavior data.

[0114] (2) Engine layer

[0115] 3D simulation engine: Developed based on 3D modeling software (e.g., Unreal Engine), using virtual reality technology and lighting simulation technology (e.g., Lumen), it can achieve accurate simulation of dynamic lighting, enhancing the realism and immersion of construction scenes.

[0116] Dynamic rendering engine: uses physically based rendering (PBR) technology, supports 8-bit RGB color space and dynamic lighting to ensure scene realism, and uses lighting simulation technology to perform real-time lighting calculations to ensure color temperature deviation is less than 5%.

[0117] (3) Algorithm layer

[0118] Adopt intelligent evaluation algorithms, including:

[0119] Operation trajectory analysis: The dynamic time warping (DTW) algorithm is used to compare the similarity between the standard operation path and the user trajectory.

[0120] Biometric authentication: Verification is carried out through facial recognition. A facial photo database of operators is established in the system. During each assessment, facial photos are taken by the front camera of the mobile terminal and compared with the database to ensure the authenticity of the assessment.

[0121] Training result evaluation: Deep learning technology is used to extract high-frequency keywords from incorrect questions generated in interactive training, and semantic understanding is used to locate students' weak points in knowledge. Generative models are then used to automatically generate targeted learning suggestions.

[0122] (4) Application layer

[0123] Multi-terminal adaptation interface: Through video stream adaptive encoding technology (bit rate dynamic adjustment range 9745±15%kbps), stable transmission of 4K image quality under different bandwidths is achieved.

[0124] Gamified interactive module: passing levels and answering questions. The interactive function is developed based on the animation course. As the plot progresses, different risks appear, and risk control measures must be implemented through game operations. If the operation is wrong and the risk is not eliminated, an accident animation will appear to intuitively display the consequences of the accident, which will give the trainees a strong visual impact, deepen the training impression, and improve the training effect.

[0125] In one embodiment, a core functional module technology implementation of a 3D network simulation operation and training system for power safety is provided, specifically including:

[0126] (1) High-precision 3D simulation scene construction

[0127] A. Animation creation based on 3D modeling software (e.g., Maya): Create 3D models using 3D modeling software, ensuring that the precision of each component meets CG-level standards, and that the normal direction of the model is correct to avoid overlapping surfaces.

[0128] B. Texture Production: Seamless textures with resolutions ranging from 512×512 to 1024×1024 are used to ensure that every texture detail perfectly matches the objects in the scene. The UV mapping ratio is dynamically adjusted based on the depth of field (distant scenes are reduced to 60% and near scenes are enlarged to 140%) to optimize rendering effects.

[0129] C. Dynamic Lighting System: Utilize the lighting system of 3D modeling software (e.g., Unreal Engine) to simulate the construction site's lighting environment, providing dynamic ambient light sources to ensure realistic lighting effects across different time periods and scenes. Shadow transitions utilize the progressive sampling algorithm of rendering software (e.g., V-Ray) to avoid pure black shadows (RGB values ​​are limited to #0A0A0A and above).

[0130] (2) Multimodal assessment

[0131] Practical interactive verification, including:

[0132] A. During the wiring operation assessment, the system uses a collision detection algorithm (AABB bounding box combined with Octree space partitioning) to determine whether the cable connection is correct.

[0133] B. Example of incorrect operation: If the ground wire is connected incorrectly, the system will generate an animation of a person being electrocuted.

[0134] (3) Personalized training feedback is automatically generated, reference Figure 2 , specifically including:

[0135] Step S201: Extract question stems from the wrong question set and perform text preprocessing. Use the Transformer-based Bidirectional Encoder Representation (BERT) model to extract deep semantic vectors of the wrong question stems and perform course resource metadata encoding.

[0136] Step S202: Identify key words in wrong questions based on the Transformer attention mechanism, and filter them using term frequency-inverse document frequency (TF-IDF) to retain high-frequency keywords.

[0137] Step S203 : Establish a mapping relationship between the extracted high-frequency words and predefined knowledge points or skill modules to determine which specific knowledge points the person has deficiencies in.

[0138] In step S204, a Transformer-based autoregressive language model (e.g., GPT2LMHeadModel) is used to input high-frequency words and automatically generate targeted learning suggestion text, for example:

[0139] Priority reinforcement: distribution box wiring specifications

[0140] Watch the course: "Electrical Work Safety Standards and Techniques"

[0141] Completed simulation training: PE line connection, fault point inspection (I)

[0142] Safety Tips: The upper power supply must be disconnected before operation!

[0143] This solution solves core problems in traditional training, such as scene distortion and one-sided evaluation, by deeply integrating high-precision simulation with gamification mechanisms. It also provides personalized feedback on problems that arise in interactive assessments, further improving the training effect of personnel and providing a quantifiable and traceable technical solution for temporary power safety training.

[0144] In one embodiment, the main functional interface of the power safety 3D network simulation operation and training system is provided, including:

[0145] (1) Course learning interface

[0146] The home page displays three main functional modules: course learning, question bank practice, and interactive assessment, such as Figure 3 As shown, click on different modules to enter different function interfaces. For the course learning module, click to enter Figure 4 In the interface shown, view the course name, introduction, applicable majors and other related information, and click the video above to start video animation learning.

[0147] (2) Interactive assessment

[0148] Click into the exam module, such as Figure 5 As shown, the user's identity is verified through face recognition. If the verification is passed, you can enter the test. During the test, you can roam in the scene by using the left and right joysticks on the screen, such as Figure 6 As shown, answer the questions according to the prompts of each question.

[0149] The aforementioned 3D network simulation operation and training system for electrical safety utilizes high-precision 3D simulation technology to enhance scene realism. Through lighting simulation and 3D modeling software rendering, the system significantly enhances scene realism and material detail (texture clarity is increased to 4K). This system faithfully reproduces the construction scene, helping to identify operational risks and enhance safety awareness. Furthermore, the number of particles per frame for accident effects such as leakage arcs and short-circuit sparks reaches 5,000. The realistic and visually impactful animations of accident consequences enhance trainees' perception of accident consequences and strengthen their emergency response capabilities.

[0150] Moreover, the adoption of a gamification mechanism enhances learning motivation. While general 3D visualization training systems offer low scene realism, this system provides realistic scene simulations comparable to VR virtual environments. Furthermore, actual operation simulations can be performed through the joysticks on both sides of the terminal. This highly interactive and entertaining learning experience enhances trainees' willingness to engage in learning and repeated practice. It also enables long-term memory reinforcement, allowing trainees to retain a more enduring memory of key operating steps and emergency response procedures, helping to improve accuracy in actual operations. At the same time, targeted training evaluations can form a closed-loop training loop. Through a feedback mechanism of learning-assessment-evaluation-reinforced learning, training effectiveness can be further enhanced, helping trainees identify weaknesses in their knowledge and reducing the likelihood of errors in actual operations.

[0151] This application achieves the following main effects through the triple technology closed loop of "high-precision simulation + gamification mechanism + behavioral incentives":

[0152] (1) Improved training effectiveness: Effectively improve the trainees’ safety operation level and emergency response capabilities in real scenarios.

[0153] (2) Breakthrough in system performance: The system can adapt to different operating systems and support large-scale concurrency and low-latency real-time interaction, ensuring a smooth experience when a large number of trainers conduct interactive training at the same time.

[0154] (3) Behavioral pattern change: Trainees shifted from a traditional passive learning mode to an active exploration mode, significantly improving their participation and long-term memory retention. Through the gamification mechanism, they maintained a high level of enthusiasm during the learning process.

[0155] Through the above technical means, this application not only significantly improved the efficiency and effectiveness of temporary power safety training, but also changed the behavior patterns of trainers, and promoted new models and new developments in power construction safety training in the industry.

[0156] In one embodiment, a practical training method for electricity safety 3D animation is provided, comprising the following steps:

[0157] Step S301: Obtain model data of a temporary power usage scenario, and generate a three-dimensional simulation training video of the temporary power usage scenario based on the model data; the three-dimensional simulation training video includes dangerous and harmful factors of the temporary power usage scenario and risk control measures corresponding to the dangerous and harmful factors, and is based on the training personnel as the first-person perspective;

[0158] Step S302: receiving the trainee's somatosensory simulation interactive operation for the three-dimensional simulation training video, detecting whether the somatosensory simulation interactive operation can eliminate the dangerous and harmful factors according to the risk control measures; when the somatosensory simulation interactive operation fails to eliminate the dangerous and harmful factors, displaying the accident video corresponding to the dangerous and harmful factors; when the somatosensory simulation interactive operation can eliminate the dangerous and harmful factors, displaying that the assessment is passed and displaying the next three-dimensional simulation training video.

[0159] In the specific implementation, the model data of the temporary power usage scenario can be input into the display module. The display module performs three-dimensional visual simulation based on the model data to generate a three-dimensional simulation training video that includes various dangerous and harmful factors in the temporary power usage scenario and the risk control measures corresponding to the dangerous and harmful factors. The display module can play the three-dimensional simulation training video from the trainee's first perspective.

[0160] The trainees can perform somatosensory simulation interactive operations on the dangerous and harmful factors in the three-dimensional simulation training video. The somatosensory simulation interactive operations can express the risk control measures implemented by the trainees for the dangerous and harmful factors through body language. The interactive module receives the somatosensory simulation interactive operations and detects whether the somatosensory simulation interactive operations can eliminate the dangerous and harmful factors in the three-dimensional simulation training video according to the risk control measures stored in the system background. If the somatosensory simulation interactive operations do not match the risk control measures corresponding to the dangerous and harmful factors, the dangerous and harmful factors cannot be correctly eliminated, or there are omitted dangerous and harmful factors that cannot be eliminated. At this time, the interactive module can determine that the trainee has failed the assessment and play the accident video of the dangerous and harmful factors. Otherwise, if the somatosensory simulation interactive operations match the risk control measures corresponding to the dangerous and harmful factors, the dangerous and harmful factors can be correctly eliminated. At this time, the interactive module can prompt the trainee that the assessment has passed, and play the next three-dimensional simulation training video to continue assessing the trainee.

[0161] It can be understood that the solution to the problem provided by the practical training method of three-dimensional animation for electricity safety is similar to the solution recorded in the above-mentioned system. Therefore, the specific limitations in the embodiment of the practical training method of three-dimensional animation for electricity safety can be found in the above limitations on the practical training system of three-dimensional animation for electricity safety, and will not be repeated here.

[0162] The above-mentioned three-dimensional animation practical training method for electricity safety obtains model data of temporary electricity usage scenarios, and generates three-dimensional simulation training videos of temporary electricity usage scenarios based on the model data. The three-dimensional simulation training video contains dangerous and harmful factors of temporary electricity usage scenarios and risk control measures corresponding to the dangerous and harmful factors. The method takes the trainees as the first perspective, receives the trainees' somatosensory simulation interaction operations for the three-dimensional simulation training video, and detects whether the somatosensory simulation interaction operations can eliminate the dangerous and harmful factors based on the risk control measures. When the somatosensory simulation interaction operations fail to eliminate the dangerous and harmful factors, the accident video corresponding to the dangerous and harmful factors is displayed. When the somatosensory simulation interaction operations can eliminate the dangerous and harmful factors, the assessment is passed and the next three-dimensional simulation training video is displayed. Electricity safety training can be conducted based on the visualized three-dimensional simulation training video, and the corresponding accident consequences can be displayed when incorrect operations are performed on dangerous and harmful factors, thereby increasing the authenticity of the electricity safety training.

[0163] It should be understood that, although the various steps in the flowcharts involved in the various embodiments described above are displayed in sequence according to the instructions of the arrows, these steps are not necessarily executed in sequence in the order indicated by the arrows. Unless otherwise specified herein, there is no strict order restriction on the execution of these steps, and these steps can be executed in other orders. Moreover, at least a portion of the steps in the flowcharts involved in the various embodiments described above can include multiple steps or multiple stages, and these steps or stages are not necessarily executed and completed at the same time, but can be executed at different times, and the execution order of these steps or stages is not necessarily to be carried out in sequence, but can be executed in turn or alternately with other steps or at least a portion of steps or stages in other steps.

[0164] In an exemplary embodiment, a computer device is provided, which may be a terminal. The computer device includes a processor, memory, an input / output interface, a communication interface, a display unit, and an input device. The processor, memory, and input / output interface are connected via a system bus, and the communication interface, display unit, and input device are connected to the system bus via the input / output interface. The processor of the computer device provides computing and control capabilities. The memory of the computer device includes a non-volatile storage medium and internal memory. The non-volatile storage medium stores an operating system and a computer program. The internal memory provides an environment for the operating system and computer program stored in the non-volatile storage medium. The input / output interface of the computer device is used to exchange information between the processor and external devices. The communication interface of the computer device is used to communicate with external terminals via wired or wireless communication, which may be achieved via Wi-Fi, a mobile cellular network, near-field communication (NFC), or other technologies. When executed by the processor, the computer program implements a three-dimensional animated practical training method for electrical safety. The display unit of the computer device is used to produce visual images and may be a display screen, a projection device, or a virtual reality imaging device. The display screen can be a liquid crystal display screen or an electronic ink display screen, and the input device of the computer device can be a touch layer covering the display screen, or a button, trackball or touchpad set on the computer device casing, or an external keyboard, touchpad or mouse.

[0165] Those skilled in the art will understand that the above structure is merely a block diagram of a portion of the structure related to the solution of the present application, and does not constitute a limitation on the computer device to which the solution of the present application is applied. The specific computer device may include more or fewer components than shown in the figure, or combine certain components, or have a different component arrangement.

[0166] In one embodiment, a computer device is further provided, including a memory and a processor. The memory stores a computer program, and the processor implements the steps in the above method embodiments when executing the computer program.

[0167] In one embodiment, a computer-readable storage medium is provided, on which a computer program is stored. When the computer program is executed by a processor, the steps in the above-mentioned method embodiments are implemented.

[0168] In one embodiment, a computer program product is provided, including a computer program, which implements the steps in the above method embodiments when executed by a processor.

[0169] It should be noted that the user information (including but not limited to user device information, user personal information, etc.) and data (including but not limited to data used for analysis, stored data, displayed data, etc.) involved in this application are all information and data authorized by the user or fully authorized by all parties, and the collection, use and processing of relevant data must comply with relevant regulations.

[0170] Those skilled in the art will understand that all or part of the processes in the above-mentioned embodiments can be implemented by instructing the relevant hardware through a computer program. The computer program can be stored in a non-volatile computer-readable storage medium. When the computer program is executed, it can include the processes of the embodiments of the above-mentioned methods. In particular, any reference to memory, database, or other media used in the embodiments provided in this application can include at least one of non-volatile memory and volatile memory. Non-volatile memory can include read-only memory (ROM), magnetic tape, floppy disk, flash memory, optical memory, high-density embedded non-volatile memory, resistive random access memory (ReRAM), magnetic random access memory (MRAM), ferroelectric random access memory (FRAM), phase change memory (PCM), graphene memory, etc. Volatile memory can include random access memory (RAM) or external cache memory, etc. By way of illustration and not limitation, RAM can take various forms, such as static random access memory (SRAM) or dynamic random access memory (DRAM). The databases involved in the various embodiments provided herein may include at least one of a relational database and a non-relational database. Non-relational databases may include, but are not limited to, blockchain-based distributed databases. The processors involved in the various embodiments provided herein may be, but are not limited to, general-purpose processors, central processing units (CPUs), graphics processing units (GPUs), digital signal processors (DSPs), programmable logic devices (PLDs), quantum computing-based data processing logic devices, artificial intelligence (AI) processors, and the like.

[0171] The technical features of the above embodiments can be combined arbitrarily. In order to make the description concise, not all possible combinations of the technical features in the above embodiments are described. However, as long as there is no contradiction in the combination of these technical features, they should be considered to be within the scope of this application.

[0172] The above-described embodiments merely represent several implementation methods of the present application. While the descriptions are relatively specific and detailed, they should not be construed as limiting the scope of the present application. It should be noted that a person of ordinary skill in the art may make various modifications and improvements without departing from the spirit of the present application, and these modifications and improvements fall within the scope of protection of the present application. Therefore, the scope of protection of the present application shall be determined by the appended claims.

Claims

1. A three-dimensional animation practical training system for electricity safety, characterized by: The system includes: a display module and an interaction module; The display module is configured to obtain model data of a temporary power usage scenario and generate a three-dimensional simulation training video of the temporary power usage scenario based on the model data; the three-dimensional simulation training video includes dangerous and harmful factors of the temporary power usage scenario and risk control measures corresponding to the dangerous and harmful factors, and is based on the training personnel as the first-person perspective; The interactive module is used to receive the trainee's somatosensory simulation interactive operation on the three-dimensional simulation training video, and detect whether the somatosensory simulation interactive operation can eliminate the dangerous and harmful factors based on the risk control measures. When the somatosensory simulation interactive operation fails to eliminate the dangerous and harmful factors, the accident video corresponding to the dangerous and harmful factors is displayed; when the somatosensory simulation interactive operation can eliminate the dangerous and harmful factors, the assessment is passed and the next three-dimensional simulation training video is displayed.

2. The system according to claim 1, wherein: The display module is also used to receive the scenario type of the temporary power usage scenario selected by the trainee, and read the dangerous and harmful factors and risk control measures involved in the trainee's job position from the database as model data corresponding to the scenario type; the scenario type matches the trainee's job position, and the scenario type includes at least one of a basic scenario, an equipment deployment scenario, a line installation scenario, an equipment management scenario, a hidden danger identification scenario, and an emergency response scenario.

3. The system according to claim 1, wherein: The display module is further used to generate a three-dimensional model of the temporary power usage scenario based on the model data, perform mapping on the three-dimensional model, and perform real-time dynamic lighting on the mapped three-dimensional model to obtain the three-dimensional simulation training video.

4. The system according to claim 1, wherein: The interaction module is further configured to determine a similarity between an operation path of the somatosensory simulation interaction operation and a predetermined standard path, and determine whether the somatosensory simulation interaction operation can eliminate the dangerous and harmful factors based on the similarity.

5. The system according to claim 1, wherein: The display module is further used to generate assessment questions based on the three-dimensional simulation training video; the interaction module is further used to receive the trainee's somatosensory simulation interaction operations on the assessment questions, and generate the trainee's assessment results based on the somatosensory simulation interaction operations.

6. The system according to claim 5, characterized in that The display module is further configured to display a joystick corresponding to the assessment question, and adjust a display range of the assessment question in response to a long press operation of the joystick by the trainee.

7. The system according to claim 5, characterized in that The interaction module is further configured to determine a bounding box corresponding to the assessment question, perform collision detection on the somatosensory simulation interaction operation according to the bounding box, and obtain the assessment result.

8. The system according to claim 5, characterized in that The system also includes an authentication module for performing facial recognition on the trainee, and sending answer instructions to the display module if the recognition is successful.

9. The system according to claim 5, characterized in that The system also includes an evaluation module for generating a set of wrong questions for the trainee based on the assessment results, extracting keywords from each wrong question in the set, inputting the keywords into a trained recognition model, and generating learning suggestions for the trainee.

10. The system according to claim 9, characterized in that The evaluation module is also used to extract deep semantic vectors from the stems of the wrong questions, extract the keywords from the deep semantic vectors based on the attention mechanism, determine the knowledge weaknesses of the trainee based on the similarity between the keywords and predetermined knowledge points, and generate learning suggestions for the trainee based on the knowledge weaknesses.

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