Multifunctional electric power safety emergency experience and evaluation method, system and device and medium thereof

Abstract

The invention discloses a multifunctional electric power safety emergency experience and evaluation method, system and device and a medium thereof. The method comprises the following steps: acquiring historical electric power safety accident data; and the accident type, severity and occurrence frequency of the historical electric power safety accident data are intelligently classified and sorted based on an artificial intelligence algorithm. An immersive virtual experience scene is constructed by adopting VR, AR or MR technology in combination with AI aided design, a traditional single electric power safety emergency experience mode is changed, the scene has a high sense of reality, participants are personally on the scene, meanwhile, the interactivity of experience is greatly improved through designed interaction elements, interaction links and voice interaction, and the experience experience is improved. Participants can really feel the danger and urgency of electric power safety accidents; the performance in the electric power safety emergency experience process is evaluated in real time through the AI algorithm, the electric power safety emergency capability level of the participant can be reflected more objectively, and a powerful basis is provided for targeted training.

Description

Technical Field

[0001] The present invention relates to the field of power safety technology, and in particular to a multifunctional power safety emergency experience and evaluation method, system, equipment and medium thereof. Background Art

[0002] With the rapid development of the power industry, electricity has become an indispensable form of energy in modern society. Whether it is industrial production, commercial operations or residents' daily life, it is inseparable from a stable and reliable power supply. However, in the process of power production, transmission and use, various safety accidents may occur due to various reasons, such as electric shock, fire, explosion, etc. These safety accidents will not only pose a serious threat to the safety of people's lives, but also cause huge losses to property, and may even have an adverse impact on social stability and economic development. Therefore, the issue of power safety has received increasing attention, and it is particularly important to improve the safety awareness and emergency response capabilities of power practitioners and the public. However, there are still certain problems: First, the current power safety emergency experience methods are often relatively simple, usually using traditional classroom teaching, picture display, video playback and other methods. Although these methods can convey certain safety knowledge, they lack authenticity and interactivity, and it is difficult for participants to truly feel the danger and urgency of power safety accidents; Second, the existing power safety emergency assessment indicators are often not comprehensive enough, mainly focusing on the assessment of the participants' knowledge level, but not enough on the assessment of actual operation ability, emergency response speed, decision-making rationality, etc.; 3. Power safety accidents occur in a variety of scenarios, and different scenarios require different emergency response measures. At the same time, different groups of people also have differences in safety awareness and emergency response capabilities. However, existing power safety emergency experience and evaluation methods often cannot be personalized for different scenarios and groups; To this end, a multifunctional power safety emergency experience and evaluation method, system, equipment and medium are proposed. Summary of the invention

[0003] The purpose of the present invention is to provide a multifunctional power safety emergency experience and evaluation method, system, device and medium thereof to solve one of the problems raised in the above background technology.

[0004] In order to solve the above technical problems, a technical solution adopted in this application is: a multifunctional power safety emergency experience and evaluation method, comprising the following steps: Step 1: Obtain historical power safety accident data; Step 2: Based on artificial intelligence algorithms, intelligent classification and sorting of accident types, severity, and frequency of historical power safety accident data are performed to extract typical accident data; Step 3: Based on virtual reality (VR), augmented reality (AR) or mixed reality (MR) technology, combined with AI-assisted design, build an immersive virtual experience scene based on typical accident data; Step 4: Design interactive elements, interactive links, multiple experience modes and biometric technologies in immersive virtual experience scenes; Step 5. Select the experience mode and enter the immersive virtual experience scene. Use natural language processing technology to realize voice interaction for power safety emergency experience. During the experience, the user's status is monitored in real time based on biometric technology. Step 6: Set evaluation indicators, conduct real-time evaluation of the performance during the power safety emergency experience based on AI algorithms, identify errors and weaknesses through big data analysis, and generate evaluation results; Step 7. Based on the evaluation results and combined with big data analysis, continue to optimize the content and difficulty of the immersive virtual experience scenes.

[0005] As a further preferred embodiment of the present technical solution: in step one, the historical power safety accident data includes accident scene images, accident time, location, cause, accident type, severity and frequency of occurrence.

[0006] As a further preferred embodiment of the present technical solution: in step 2, the method for extracting typical accident data comprises the following steps: Step 1: Clean the historical power safety accident data, remove duplicates, erroneous data and irrelevant information, and convert the cleaned data into a unified format; Step 2: Identify the key features of the cleaned data and extract information data of the key features based on data mining and feature engineering techniques; Step 3: Based on the information data of key features, use artificial intelligence algorithms to train the classification model; Step 4: Intelligently classify historical power safety accident data based on the classification model; Step 5: Based on the intelligent classification, conduct typicality assessment and extract representative typical accident data.

[0007] As a further preferred embodiment of the present technical solution: in step three, the immersive virtual experience scene includes a power equipment model, a dynamic accident simulation effect and simulated environmental factors.

[0008] As a further preferred embodiment of the present technical solution: in step four, the interactive elements include virtual operation buttons and prompt information, and the interactive links include simulated rescue missions and knowledge questions and answers.

[0009] As a further preferred embodiment of the present technical solution: in step five, the state of the experiencer includes a physiological state and a psychological state, wherein the physiological state includes heart rate and blood pressure, and the psychological state includes tension level and concentration level.

[0010] As a further preferred embodiment of the present technical solution: the evaluation indicators include emergency response time, operation accuracy, decision rationality, decision-making time of the experiencer and teamwork ability.

[0011] To solve the above technical problems, another technical solution adopted by this application is: a multifunctional power safety emergency experience and evaluation system, including: a data acquisition module, an intelligent classification module, a scenario construction module, an interactive design module, an experience monitoring module, an evaluation module and an optimization module; The data acquisition module is used to collect historical power safety accident data, including accident scene images, accident time, location, cause, accident type, severity and frequency information; The intelligent classification module is used to intelligently classify and sort the accident types, severity, and occurrence frequencies provided by the data acquisition module based on an artificial intelligence algorithm, and extract typical accident data; The scenario construction module is used to construct an immersive virtual experience scenario based on VR, AR or MR technology in combination with AI-assisted design according to the typical accident data extracted by the intelligent classification module; The interaction design module is used to design interactive elements, interactive links and multiple experience modes in the immersive virtual experience scene, and integrate biometric technology; The experience monitoring module is used to monitor the state of the experiencer in real time based on biometric technology during the experience process after the experiencer selects the experience mode and enters the immersive virtual experience scene; The evaluation module is used to set evaluation indicators, conduct real-time evaluation of the performance during the power safety emergency experience based on the AI ​​algorithm, and generate evaluation results; The optimization module is used to collect and analyze experience data, and combine big data analysis to continuously optimize the content and difficulty of the immersive virtual experience scene.

[0012] To solve the above-mentioned technical problems, another technical solution adopted in the present application is: a computer device, which includes a processor and a memory coupled to the processor, wherein program instructions are stored in the memory, and when the program instructions are executed by the processor, the processor executes the steps of a multifunctional power safety emergency experience and evaluation method as described above.

[0013] In order to solve the above-mentioned technical problems, another technical solution adopted in this application is: a storage medium storing program instructions that can implement a multifunctional power safety emergency experience and evaluation method as described above.

[0014] Advantages of the present invention: 1. The present invention uses VR, AR or MR technology combined with AI-assisted design to build an immersive virtual experience scene, which changes the traditional single power safety emergency experience mode. The scene has a high sense of reality, allowing participants to be immersed in it. At the same time, the interactive elements, interactive links and voice interactions designed greatly improve the interactivity of the experience, allowing participants to truly feel the danger and urgency of power safety accidents; 2. The evaluation indicators of the present invention are comprehensive, covering multiple aspects such as knowledge mastery, practical operation ability, emergency response speed, decision rationality, decision time and teamwork ability. Through real-time evaluation by AI algorithm and combined with big data analysis to identify errors and weaknesses, it can more objectively reflect the level of power safety emergency response capabilities of participants and provide a strong basis for targeted training; 3. The present invention constructs experience scenarios based on historical power safety accident data, covering a variety of accident scenarios to meet different emergency response needs. Biometric technology combined with big data analysis can be used to design personalized experiences based on differences among different groups of people, continuously optimize scenario content and difficulty, and improve the adaptability and practicality of the system. BRIEF DESCRIPTION OF THE DRAWINGS

[0015] In order to more clearly illustrate the embodiments of the present invention or the technical solutions in the prior art, the drawings required for use in the embodiments or the description of the prior art will be briefly introduced below. Obviously, the drawings described below are only some embodiments of the present invention. For ordinary technicians in this field, other drawings can be obtained based on these drawings without paying creative work.

[0016] Figure 1 A schematic diagram of a flow chart of a multifunctional power safety emergency experience and evaluation method of the present invention; Figure 2 It is a flow chart of the method for extracting typical accident data of the present invention; Figure 3 It is a functional module schematic diagram of a multifunctional power safety emergency experience and evaluation system of the present invention; Figure 4 The figure is a schematic diagram of the structure of an electronic device of the present invention. DETAILED DESCRIPTION

[0017] The following will be combined with the drawings in the embodiments of the present invention to clearly and completely describe the technical solutions in the embodiments of the present invention. Obviously, the described embodiments are only part of the embodiments of the present invention, not all of the embodiments. Based on the embodiments of the present invention, all other embodiments obtained by ordinary technicians in this field without creative work are within the scope of protection of the present invention.

[0018] Example Figure 1 is a flowchart of a multifunctional power safety emergency experience and evaluation method according to an embodiment of the present invention. It should be noted that if there are substantially the same results, the method of this application is not based on Figure 1 The process sequence shown is limited. Figure 1-Figure 2 As shown: A multifunctional power safety emergency experience and evaluation method, comprising the following steps: Step 1: Obtain historical power safety accident data, where the historical power safety accident data is obtained from power companies, industry databases, news media, and online channels; Step 2: Based on artificial intelligence algorithms, intelligent classification and sorting of accident types, severity, and frequency of historical power safety accident data are performed to extract typical accident data, where the typical accident data will serve as the basis for building an immersive virtual experience scene; Step 3: Based on virtual reality (VR), augmented reality (AR) or mixed reality (MR) technology, combined with AI-assisted design, build an immersive virtual experience scene based on typical accident data. Specifically, based on game engines such as Unity or Unreal Engine, combined with VR / AR / MR technology, design realistic power equipment models (such as transformers, circuit breakers, transmission lines, etc.), and at the same time, create dynamic accident simulation effects, such as short-circuit arcs, flame spread, smoke diffusion, etc., simulate different accident scenes, and introduce simulated environmental factors, such as weather changes (lightning, heavy rain), environmental factors (high temperature, humidity), etc., to increase the immersion of the scene; Step 4: Design interactive elements, interactive links, multiple experience modes and biometric technologies in the immersive virtual experience scene. The interactive elements are used to guide the experiencers to conduct safe operation drills; the interactive links are used to test the experiencers' emergency response capabilities and improve their knowledge of power safety; the experience modes include beginner mode, advanced mode, expert mode, single-player mode and multiplayer mode, providing multiple mode options for the experiencers; biometric technologies include heart rate monitoring bracelets, facial recognition cameras, etc. Step 5. Select the experience mode and enter the immersive virtual experience scene. Use natural language processing technology to realize voice interaction for power safety emergency experience. During the experience, the user's status is monitored in real time based on biometric technology. To enter the immersive virtual experience scene, you need to wear VR / AR / MR equipment. Step 6: Set evaluation indicators, conduct real-time evaluation of the performance during the power safety emergency experience based on AI algorithms, identify errors and weaknesses through big data analysis, generate evaluation results, and provide personalized learning suggestions and training resources for the experiencers based on the evaluation results; Step 7: Collect and analyze experience data, identify common problems and feedback in immersive virtual experience scenarios, and combine big data analysis to continuously optimize the content and difficulty of immersive virtual experience scenarios.

[0019] In this embodiment, specifically: in step 1, the historical power safety accident data includes accident scene images, accident time, location, cause, accident type, severity and frequency of occurrence, wherein: Accident scene images are taken when or immediately after an accident occurs. They visually show the situation at the accident scene, including equipment damage, environmental damage, and possible injuries. These images are crucial for building realistic and immersive virtual experience scenes. The time of accident occurrence helps to analyze the seasonality and time distribution of accidents, so as to strengthen safety precautions in specific time periods; The accident location includes specific power facilities, geographic location coordinates, etc., which helps to identify common locations where accidents occur, and then focus on monitoring and transforming these locations; The causes of accidents include direct and indirect causes. Direct causes may include equipment failure, operating errors, etc., while indirect causes may involve poor management, insufficient training, etc. The analysis of these causes is of great significance for preventing similar accidents from happening again. Accident types are classified according to the nature and manifestation of the accident, such as electric shock accidents, fire accidents, equipment explosion accidents, etc. Different types of accidents require different emergency response measures and preventive measures; The severity of an accident is used to assess the extent of damage caused by the accident to personnel, equipment, environment, etc. It is usually divided into several levels such as minor, general, major and extremely major. The severity assessment helps determine the priority of accident handling and resource allocation; The frequency of accidents is the number of times the same type of accidents occur within a certain period of time in order to understand the frequency and trend of accidents. High-frequency accidents require special attention, and corresponding measures should be taken to prevent and control them.

[0020] In this embodiment, specifically: in step 2, the method for extracting typical accident data includes the following steps: Step 1: Clean the historical power safety accident data, remove duplicates, erroneous data and irrelevant information, and convert the cleaned data into a unified format. Data cleaning uses data cleaning tools (such as Python's Pandas library) to remove duplicates, erroneous data and information irrelevant to the subject, unify the data format, ensure the standardization of time, location and other information, and facilitate subsequent analysis; Step 2: Based on data mining and feature engineering technology, identify the key features of the cleaned data and extract the information data of the key features. Among them, data mining technology includes K-means clustering, PCA dimensionality reduction, etc. The key features include the main influencing factors of the accident type, the judgment index of the severity, etc. Through feature engineering technology, such as feature selection and feature construction, the effectiveness of the data model is enhanced; Step 3: Based on the information data of key features, use machine learning algorithms in artificial intelligence algorithms (such as random forests, decision trees, and support vector machines) to train classification models; Step 4: Based on the classification model, intelligently classify the historical power safety accident data according to the accident type, severity and frequency, cross-validate the model, adjust the parameters, and ensure the accuracy and stability of the classification; Step 5: Based on intelligent classification, conduct typicality assessment through expert review and data analysis to extract typical accident data that is representative and educational.

[0021] In this embodiment, specifically: in step three, the immersive virtual experience scene includes a power equipment model, a dynamic accident simulation effect and simulated environmental factors, wherein: Power equipment models are the basis of immersive virtual experience scenes. They need to restore the appearance, structure and function of actual power facilities with high precision. These models include but are not limited to transformers, circuit breakers, transmission lines, switch cabinets, cable wells, etc. In order to enhance the sense of immersion, power equipment models need to support multi-angle viewing and interactive operations, so that experiencers can inspect, operate and troubleshoot equipment as in a real environment. During the model making process, it is necessary to refer to real equipment drawings, technical documents and on-site photos to ensure the accuracy and authenticity of the model; Dynamic accident simulation effects are the core of immersive virtual experience scenes. By simulating the occurrence of various power safety accidents, the experiencer can feel the urgency and danger of the accident. Accident simulation effects can include the flashing of short-circuit arcs, the spread of flames, the diffusion of smoke, the shock wave of equipment explosion, etc. These effects need to be highly realistic and can trigger the experiencer's instinctive reaction and emergency handling ability. In order to achieve dynamic simulation effects, advanced graphics rendering technology, physical engine and animation technology need to be used to ensure the authenticity and smoothness of the simulation effects; Simulated environmental factors refer to external conditions that affect the occurrence and development of power safety accidents, such as weather changes, environmental factors, topography, etc. In the immersive virtual experience scene, severe weather conditions such as lightning, heavy rain, high temperature, humidity, as well as complex topography and surrounding environment can be simulated. These environmental factors can increase the complexity and challenge of the scene and improve the emergency response capabilities of the experiencer. When simulating environmental factors, it is necessary to fully consider their impact on power equipment and potential safety risks to ensure the authenticity and effectiveness of the scene.

[0022] In this embodiment, specifically: in step 4, the interactive elements include virtual operation buttons and prompt information, wherein: Virtual operation buttons are the main means for users to interact with power equipment or scenes in a virtual environment. These buttons can simulate real operation interfaces, such as switches, buttons, knobs, etc., so that users can operate them as in a real environment. The design of buttons needs to be intuitive and easy to understand, in line with ergonomic principles, to ensure that users can easily get started. At the same time, the feedback effects of buttons (such as click sounds and animation effects) also need to be obvious enough to enhance the sense of immersion. Prompt information is used to provide necessary guidance and help to the experiencer during the experience process. This information may include instructions for operating steps, reminders of safety precautions, suggestions for accident handling, etc. Prompt information should be presented in a clear and concise manner, avoiding excessive text piling and complex expressions. At the same time, the timing of the information also needs to be just right, so as not to interrupt the experiencer's operational thinking, and to provide necessary help in a timely manner.

[0023] The interactive session included simulated rescue missions and knowledge quizzes, among which: The simulated rescue mission is one of the core interactive links in the immersive virtual experience scene. By simulating real power safety accident scenes, the experiencer plays the role of a rescuer and performs emergency rescue operations. Rescue missions can include power outage operations, fire fighting and rescue, evacuation of the wounded and other types. Each type requires the experiencer to make judgments and decisions based on the situation at the accident site and their own professional knowledge. During the execution of the task, the system will conduct real-time evaluation based on the experiencer's operation performance and provide corresponding feedback and suggestions, which will help the experiencer to discover and correct their mistakes in time and improve emergency response capabilities; Knowledge quiz is another important interactive link, which aims to consolidate the experiencer's knowledge of power safety through question-and-answer format. The content of the question-and-answer session can cover basic knowledge of power equipment, safe operating procedures, accident handling principles and other aspects. The question-and-answer session can be interspersed between simulated rescue missions or conducted as an independent module. The system will give corresponding scores and analysis based on the experiencer's answers to help the experiencer fill in the gaps and improve their knowledge level.

[0024] In this embodiment, specifically: in step five, the experiencer's state includes physiological state and psychological state, the physiological state includes heart rate and blood pressure, and the psychological state includes tension and concentration. Through comprehensive monitoring of the experiencer's physiological state (heart rate, blood pressure) and psychological state (tension, concentration), we can have a deeper understanding of the experience and reaction of the experiencer during the immersive virtual experience. These data are not only helpful in evaluating the experience effect, but also can provide targeted guidance and suggestions for subsequent safety education and training. For example, for experiencers who are overly nervous or lack concentration, psychological counseling and training can be strengthened; for experiencers with excessive physiological reactions, it is necessary to pay attention to their physical health and take corresponding measures.

[0025] In this embodiment, specifically: the evaluation indicators include emergency response time, operation accuracy, decision rationality, experiencer's decision time and teamwork ability. These evaluation indicators together constitute a comprehensive evaluation system for the experiencer's performance in the immersive virtual experience. By monitoring and analyzing these indicators, we can more accurately understand the experiencer's emergency handling ability, operation accuracy, decision rationality and teamwork ability, etc., and provide strong support and guidance for subsequent safety education and training.

[0026] Figure 3 is a functional module diagram of a multifunctional power safety emergency experience and evaluation system according to an embodiment of the present application, such as Figure 3 As shown, a multifunctional power safety emergency experience and evaluation system includes: a data acquisition module, an intelligent classification module, a scenario construction module, an interactive design module, an experience monitoring module, an evaluation module and an optimization module; The data acquisition module is used to collect historical power safety accident data, including accident scene images, accident time, location, cause, accident type, severity and frequency, and to preliminarily organize and store the data to provide a data basis for subsequent modules; The intelligent classification module is used to intelligently classify and sort the accident types, severity, and frequency provided by the data acquisition module based on artificial intelligence algorithms, and extract multiple representative typical accident data for use by the scenario construction module; The scenario construction module is used to build an immersive virtual experience scenario based on virtual reality (VR), augmented reality (AR) or mixed reality (MR) technology, combined with AI-assisted design, according to the typical accident data extracted by the intelligent classification module. The scenario includes realistic power equipment models, dynamic accident simulation effects and simulated environmental factors, providing the experiencer with a highly realistic emergency experience environment; The interactive design module is used to design interactive elements, interactive links and multiple experience modes in immersive virtual experience scenes, and integrate biometric technology. The interactive elements include virtual operation buttons and prompt information, and the interactive links include simulated rescue missions and knowledge quizzes. Multiple experience modes meet different experience needs. Biometric technology is used to monitor the state of the experiencer during the experience process. The experience monitoring module is used to monitor the experiencer's status in real time based on biometric technology after the experiencer selects the experience mode and enters the immersive virtual experience scene. This includes monitoring the experiencer's physiological status such as heart rate, blood pressure, etc., as well as psychological status such as tension and concentration, to provide data support for the evaluation module; The evaluation module is used to set evaluation indicators, conduct real-time evaluation of the performance during the power safety emergency experience based on AI algorithms, identify errors and weaknesses through big data analysis, and generate evaluation results. The evaluation indicators include emergency response time, operation accuracy, decision rationality, decision-making time of the experiencer, and teamwork ability; The optimization module is used to continuously optimize the content and difficulty of the immersive virtual experience scene based on the evaluation results generated by the evaluation module and combined with big data analysis, and continuously improve the authenticity, interactivity and educational effect of the scene to improve the overall performance of the system and user experience.

[0027] For other details about the technical solutions implemented by each module in the system of the above embodiment, reference may be made to the description of a lead frame quality detection method, device and apparatus in the above embodiment, which will not be repeated here.

[0028] It should be noted that each embodiment in this specification is described in a progressive manner, and each embodiment focuses on the differences from other embodiments, and the same or similar parts between the embodiments can be referred to each other. For system embodiments, since they are basically similar to method embodiments, the description is relatively simple, and the relevant parts can be referred to the partial description of the method embodiment.

[0029] like Figure 4 The present invention provides a schematic diagram of the structure of an electronic device according to an embodiment of the present invention, which is suitable for implementing the electronic device in the embodiment of the present invention. Figure 4 The electronic device shown is only an example and should not bring any limitation to the functions and scope of use of the embodiments of the present disclosure.

[0030] like Figure 4 As shown, the electronic device may include a processor (e.g., a central processing unit, a graphics processing unit, etc.), which can perform various appropriate actions and processes according to a program stored in a read-only memory (ROM) or a program loaded from a storage device into a random access memory (RAM). In the RAM, various programs and data required for the operation of the electronic device are also stored. The processor, ROM, and RAM are connected to each other via a bus. An input / output (I / O) interface is also connected to the bus.

[0031] Typically, the following devices can be connected to the I / O interface: input devices such as sensors or visual information acquisition devices; output devices such as display screens; storage devices such as tapes, hard disks, etc.; and communication devices. The communication device allows the electronic device to communicate with other devices (such as edge computing devices) wirelessly or by wire to exchange data. Figure 4 An electronic device having various devices is shown, but it should be understood that it is not required to implement or possess all the devices shown. More or fewer devices may be implemented or possessed instead.

[0032] In particular, according to an embodiment of the present disclosure, the process described above with reference to the flowchart can be implemented as a computer software program. For example, an embodiment of the present disclosure includes a computer program product, which includes a computer program carried on a non-transitory computer-readable medium, and the computer program contains program code for executing the method shown in the flowchart. In such an embodiment, the computer program can be downloaded and installed from a network through a communication device, or installed from a storage device, or installed from a ROM. When the computer program is executed by a processor, all or part of the steps of a multifunctional power safety emergency experience and evaluation method of an embodiment of the present disclosure are executed.

[0033] For detailed description of this embodiment, reference may be made to the corresponding descriptions in the aforementioned embodiments, which will not be repeated here.

[0034] According to the computer-readable storage medium of the embodiment of the present disclosure, non-transitory computer-readable instructions are stored thereon. When the non-transitory computer-readable instructions are executed by the processor, all or part of the steps of a multifunctional power safety emergency experience and evaluation method of each embodiment of the present disclosure are executed.

[0035] The above-mentioned computer-readable storage media include, but are not limited to: optical storage media (e.g., CD-ROM and DVD), magneto-optical storage media (e.g., MO), magnetic storage media (e.g., magnetic tape or mobile hard disk), media with built-in rewritable non-volatile memory (e.g., memory card) and media with built-in ROM (e.g., ROM box).

[0036] For detailed description of this embodiment, reference may be made to the corresponding descriptions in the aforementioned embodiments, which will not be repeated here.

[0037] The basic principles of the present disclosure are described above in conjunction with specific embodiments. However, it should be noted that the advantages, strengths, effects, etc. mentioned in the present disclosure are only examples and not limitations, and it cannot be considered that these advantages, strengths, effects, etc. are required by each embodiment of the present disclosure. In addition, the specific details disclosed above are only for the purpose of illustration and ease of understanding, and are not limitations. The above details do not limit the present disclosure to the necessity of adopting the above specific details to be implemented.

[0038] It should also be noted that in the system and method of the present disclosure, each component or each step can be decomposed and / or recombined. Such decomposition and / or recombination should be regarded as equivalent solutions of the present disclosure.

Claims

1. A multifunctional power safety emergency experience and evaluation method, characterized in that: The following steps are involved: Obtain historical power safety accident data; Based on artificial intelligence algorithms, intelligent classification and sorting of accident types, severity, and frequency of historical power safety accident data are performed to extract typical accident data; Based on VR, AR or MR technology, combined with AI-assisted design, immersive virtual experience scenes are constructed based on typical accident data; Design interactive elements, interactive links, multiple experience modes and biometric technologies in immersive virtual experience scenes; Select the experience mode and enter the immersive virtual experience scene. Use natural language processing technology to realize voice interaction for power safety emergency experience. During the experience, the user's status is monitored in real time based on biometric technology. Set evaluation indicators, conduct real-time evaluation of the performance during the power safety emergency experience based on AI algorithms, identify errors and weaknesses through big data analysis, and generate evaluation results; Collect and analyze experience data, combine it with big data analysis, and continuously optimize the content and difficulty of immersive virtual experience scenes.

2. A multifunctional power safety emergency experience and evaluation method according to claim 1, characterized in that: The historical power safety accident data includes accident site images, accident time, location, cause, accident type, severity and frequency of occurrence.

3. A multifunctional power safety emergency experience and evaluation method according to claim 1, characterized in that: The method for extracting typical accident data comprises the following steps: Step 1: Clean the historical power safety accident data to remove duplicates, erroneous data and irrelevant information; Step 2: Identify the key features of the cleaned data and extract information data of the key features based on data mining and feature engineering techniques; Step 3: Based on the information data of key features, use artificial intelligence algorithms to train the classification model; Step 4: Based on the classification model, intelligently classify the historical power safety accident data according to the accident type, severity and frequency; Step 5: Based on intelligent classification, conduct typicality assessment and extract typical accident data.

4. A multifunctional power safety emergency experience and evaluation method according to claim 1, characterized in that: The immersive virtual experience scene includes a power equipment model, a dynamic accident simulation effect and simulated environmental factors.

5. A multifunctional power safety emergency experience and evaluation method according to claim 1, characterized in that: The interactive elements include virtual operation buttons and prompt information, and the interactive links include simulated rescue missions and knowledge questions and answers.

6. A multifunctional power safety emergency experience and evaluation method according to claim 1, characterized in that: The experiencer's state includes a physiological state and a psychological state. The physiological state includes heart rate and blood pressure, and the psychological state includes tension level and concentration level.

7. A multifunctional power safety emergency experience and evaluation method according to claim 1, characterized in that: The evaluation indicators include emergency response time, operation accuracy, decision rationality, decision-making time of the experiencer and teamwork ability.

8. A multifunctional power safety emergency experience and evaluation system, characterized in that: include: Data acquisition module, intelligent classification module, scenario construction module, interaction design module, experience monitoring module, evaluation module and optimization module; The data acquisition module is used to collect historical power safety accident data, including accident scene images, accident time, location, cause, accident type, severity and frequency information; The intelligent classification module is used to intelligently classify and sort the accident types, severity, and occurrence frequencies provided by the data acquisition module based on an artificial intelligence algorithm, and extract typical accident data; The scenario construction module is used to construct an immersive virtual experience scenario based on VR, AR or MR technology in combination with AI-assisted design according to the typical accident data extracted by the intelligent classification module; The interaction design module is used to design interactive elements, interactive links and multiple experience modes in the immersive virtual experience scene, and integrate biometric technology; The experience monitoring module is used to monitor the state of the experiencer in real time based on biometric technology during the experience process after the experiencer selects the experience mode and enters the immersive virtual experience scene; The evaluation module is used to set evaluation indicators, conduct real-time evaluation of the performance during the power safety emergency experience based on the AI ​​algorithm, and generate evaluation results; The optimization module is used to collect and analyze experience data, and combine big data analysis to continuously optimize the content and difficulty of the immersive virtual experience scene.

9. An electronic device, characterized in that: The electronic device comprises: at least one processor; and a memory communicatively connected to the at least one processor; In which, the memory stores instructions that can be executed by the at least one processor, and the instructions are executed by the at least one processor so that the at least one processor can execute a multifunctional power safety emergency experience and evaluation method as described in any one of claims 1-7.

10. A computer-readable storage medium, characterized in that: The computer-readable storage medium stores computer instructions, which are used to enable a computer to execute a multifunctional power safety emergency experience and evaluation method as described in any one of claims 1-7.

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