Digital training and intelligent power supply system based on characteristics of front-line power supply personnel

Abstract

The invention discloses a digital training and intelligent power supply system based on characteristics of first-line power supply personnel, and relates to the technical field of power resource optimization, and the system comprises an intelligent system construction module, a demand analysis module, a digital modeling module, a course design module, a simulation operation module and an expert guidance module. The intelligent system construction module deploys a sensor to collect operation data; the demand analysis module obtains post demands through questionnaires and interviews; the digital modeling module constructs a virtual environment consistent with a real power supply scene and integrates the virtual environment to the Web training platform; the course design module is used for designing various forms of training resources according to post requirements and dynamically recommending learning paths; the simulation operation module uses the VR / AR technology to reproduce the operation process and evaluate the operation; and the expert guidance module organizes remote cooperative training based on the evaluation report and feeds back optimization suggestions. According to the system, training is combined with intelligent scheduling and fault diagnosis, and a data closed loop is formed.

Description

Technical Field

[0001] The present invention relates to the technical field of power resource optimization, and in particular to a digital training and intelligent power supply system based on the characteristics of front-line power supply personnel. Background Art

[0002] Currently, emerging technologies such as big data, artificial intelligence, and the Internet of Things are booming and are profoundly changing the operating models and development patterns of various industries. Power grid companies are adapting to the technological trend and are transforming towards "smart and digital" directions, showing many new characteristics. This change not only optimizes the company's operational management, but also promotes the renewal of talent training methods. Digital training, as an important way to improve employees' knowledge and skills, came into being in this context and has become a core means of cultivating high-quality technical talents. By building a digital training system with "three new" (new technologies, new models, and new scenarios), power grid companies are accelerating the transformation of their training management models, creating a smart training platform, and providing employees with conditions for independent learning and precise skill improvement, thereby effectively ensuring the high-quality development of the company.

[0003] At the same time, the property management industry is also undergoing profound transformation. The development of smart property management is a national strategic priority, with significant market size and potential, and playing an increasingly important role in social services. However, property management companies face numerous challenges in their expansion: significantly rising labor costs, lagging standardized service levels, and, in particular, the quality of manual services such as complaint handling fails to meet property owners' needs, impacting customer satisfaction. To gain a competitive advantage, property management companies urgently need to address these shortcomings and cultivate and recruit more high-end technical talent to meet the industry's intelligent development needs.

[0004] These current situations not only reflect common challenges within the property management industry but also provide important context for digital training of frontline power supply personnel and the design of intelligent power supply systems. The power supply and property management industries share many commonalities, such as uneven personnel quality and relatively underdeveloped skills development mechanisms. Both industries urgently need digital transformation. This demand highlights the necessity and urgency of improving personnel's overall quality and service capabilities through technological innovation.

[0005] Furthermore, with the advancement of the "dual carbon" goals and the accelerated development of green energy, the power supply industry faces higher requirements for intelligent operations. Frontline power supply personnel must not only master basic skills but also adapt to rapidly evolving equipment technology and system operations. Therefore, the in-depth integration of digital training and intelligent systems can not only address the shortcomings of traditional training methods but also achieve targeted improvement through real-time data and case studies, thereby enhancing professional capabilities and adaptability when dealing with complex work scenarios and emergencies. This development will play a key role in the intelligent transformation of the power supply industry and provide strong support for the improvement of the industry's overall technical level. Summary of the Invention

[0006] The purpose of this invention is to improve the skill level of front-line power supply personnel and the operating efficiency of the power supply system by integrating digital training with the intelligent power supply system, so as to realize the intelligent management and high-quality development of the power supply industry.

[0007] The technical solution of the present invention is to provide a digital training and intelligent power supply system based on the characteristics of front-line power supply personnel, the system comprising:

[0008] Intelligent system construction module, used to deploy on-site hardware and collect power supply system operation data;

[0009] The demand analysis module is used to obtain the equipment safety needs and personnel safety awareness of substation operation and maintenance personnel and transmission line inspection personnel through questionnaires and interviews, and to determine training objectives and directions accordingly;

[0010] A digital modeling module, which uses 3D modeling software to build virtual scenes that are highly consistent with real substations and transmission lines, and integrates the virtual scenes into a web-based training platform to enable asynchronous loading, real-time saving, and high-concurrency access;

[0011] The course design module is used to design training courses based on the results of the needs analysis module and produce animated demonstration videos, graphic tutorials, and expert explanation audio for online learning for power supply personnel at different skill levels. It also dynamically recommends learning paths based on the students' initial assessment results and learning progress.

[0012] The simulation operation module is used to design simulated operation tasks consistent with actual operation processes in a virtual scene. It uses VR / AR technology to realistically present the sound, light, vibration and meteorological effects of equipment operation. It also conducts practical training for power supply personnel in the virtual environment. The virtual environment provides visual prompts for key safety points, restricts and warns against illegal operations, and generates an evaluation report based on the trainee's operation steps and environmental perception ability, providing feedback on technical errors and suggestions for improving the immersive experience.

[0013] The expert guidance module is used to organize remote collaborative training and real-time expert guidance based on the evaluation reports generated by the simulation operation module, simulate complex fault scenarios and provide online comments and experience sharing to power supply personnel. At the same time, student feedback is fed back to the demand analysis module and course design module to optimize the training content and human-computer interface, and dynamically iterate with system function upgrades and scenario updates.

[0014] In any of the above technical solutions, further, the operating data collected by the intelligent system construction module is used for intelligent scheduling and fault diagnosis decisions on the one hand, and as case material for digital training on the other hand; the operating data and evaluation results of the simulation operation module are fed back to the demand analysis module, the course design module and the intelligent system construction module, so that a closed-loop feedback of data interconnection is formed between the modules.

[0015] In any of the above technical solutions, further, the intelligent system construction module further includes:

[0016] The hardware deployment and data acquisition submodule is used to deploy sensors and smart meters at key nodes to collect real-time equipment temperature, voltage, current, gas insulation status, line temperature, stress, and meteorological information;

[0017] The data analysis submodule is used to establish a normal operating state model of the equipment and a fault pattern recognition model, and uses machine learning algorithms to compare and analyze the real-time collected power supply system operating data to achieve fault diagnosis;

[0018] The optimized scheduling decision-making and execution submodule is used to optimize the substation tap position, capacitor bank switching, distributed power output and grid connection strategy based on real-time data and load demand using intelligent algorithms, and issue automatic control instructions to the front-line equipment control system;

[0019] The human-computer interaction and visualization display submodule is used to display the geographical distribution and operating status of transmission lines through the GIS platform and dynamic charts, push task instructions, equipment warnings and operation guides to power supply personnel through mobile terminal applications, and support remote operation authorization.

[0020] In any of the above technical solutions, further, the course design module is specifically used to: design a course system including basic knowledge of power systems, safe operating procedures, equipment operation and maintenance skills, and fault diagnosis and handling methods based on the job skill requirements and safety training objectives output by the demand analysis module; produce various forms of training resources including animated demonstration videos, graphic tutorials and expert explanation audio; build a learning path recommendation system to recommend basic courses or advanced courses to power supply personnel based on the initial assessment results and learning progress, and dynamically adjust subsequent learning paths to ensure pertinence and effectiveness.

[0021] In any of the above technical solutions, further, the simulation operation module is specifically used to: design simulation operation tasks based on real operation processes, simulate key operation steps such as transformer opening / closing operations and equipment inspections; use VR / AR technology to realistically present the sound, vibration, lighting and meteorological effects of equipment operation; provide visual prompts for safety points, including setting safety warning signs around the equipment and popping up safety prompt information on the operation interface; enforce constraints and warnings on illegal operating behaviors; generate an evaluation report based on the trainees' operation steps, action standardization and environmental perception ability in the virtual environment, point out technical errors and provide suggestions for improving immersive experience and operational proficiency.

[0022] In any of the above technical solutions, further, the operating data collected by the intelligent system construction module is not only used for intelligent scheduling and fault diagnosis decision-making, but also serves as case material for digital training to enhance the pertinence and practicality of the training content; the operating data and evaluation results of the simulation operation module are fed back to the demand analysis module, the course design module and the intelligent system construction module in real time, forming a closed-loop feedback mechanism of data interconnection, thereby improving the operating skills of front-line power supply personnel and the operating efficiency and safety of the intelligent system.

[0023] The beneficial effects of the present invention are:

[0024] Through the demand analysis module, we conduct in-depth research on the equipment safety needs and safety awareness of personnel in two typical positions: substation operation and maintenance and transmission line inspection, and accurately formulate training objectives and content; in the course design module, we dynamically recommend learning paths based on different skill levels and assessment results, which can effectively shorten the training cycle, improve training efficiency, and make the training content more in line with the actual work scenarios of front-line personnel.

[0025] Utilizing 3D digital modeling, a virtual scene closely resembling a real-world substation and transmission line was constructed. VR / AR technology was then integrated to recreate the sound, light, vibration, and meteorological effects of equipment operation, ensuring a one-to-one correspondence between simulated operational tasks and actual operational procedures. During practical training in this virtual environment, trainees not only gain an intuitive understanding of equipment operating status but also receive dynamic safety alerts and operational constraints, thereby strengthening safety awareness, standardizing operational procedures, and significantly reducing the risks of actual training.

[0026] This system integrates operational data and evaluation reports generated by the simulation module, along with feedback from the expert guidance module, into the needs analysis and curriculum design modules, forming a closed data loop. By continuously collecting and analyzing weaknesses and operational deviations during training, the system optimizes training content, the human-computer interface, and subsequent system functionality, ensuring that the training system is synchronized with the actual operating environment and enhancing the relevance and practicality of training.

[0027] The intelligent system construction module deploys various sensors and smart meters to collect real-time equipment status and environmental information. Combined with machine learning algorithms, it builds normal operation and fault identification models, enabling rapid diagnosis of equipment anomalies and assisting in scheduling decisions. The training system incorporates these real-world cases into digital courses, making learning more relevant to production practices. This helps improve frontline personnel's understanding and application of intelligent systems, further enhancing the efficiency and reliability of the power supply system.

[0028] The expert guidance module enables assessment reports generated during simulations to be shared with industry experts. Complex failure scenarios can be simulated via a remote collaboration platform, allowing for online critiques and experience sharing. Real-time expert intervention not only promptly corrects trainees' operational errors but also feeds accumulated field experience back into the training system, achieving a high degree of integration between knowledge and practice and ensuring continuous improvement in training quality.

[0029] Traditional offline training often requires on-site training platforms and high costs for manual supervision. This invention, leveraging a virtual training platform and intelligent systems, reduces reliance on physical equipment, lowering training space and labor costs. Furthermore, through safety prompts and violation restrictions in the virtual environment, it minimizes the risk of trainees operating high-voltage equipment on-site, effectively improving overall safety management. BRIEF DESCRIPTION OF THE DRAWINGS

[0030] The advantages of the above and additional aspects of the present invention will become apparent and readily understood from the following description of the embodiments with reference to the accompanying drawings, in which:

[0031] Figure 1 It is a schematic diagram of a digital training and intelligent power supply system based on the characteristics of front-line power supply personnel according to an embodiment of the present invention. DETAILED DESCRIPTION

[0032] In order to more clearly understand the above-mentioned objects, features and advantages of the present invention, the present invention is further described in detail below with reference to the accompanying drawings and specific embodiments. It should be noted that the embodiments of the present invention and the features therein can be combined with each other without conflict.

[0033] In the following description, many specific details are set forth to facilitate a full understanding of the present invention. However, the present invention may also be implemented in other ways different from those described herein. Therefore, the scope of protection of the present invention is not limited to the specific embodiments disclosed below.

[0034] like Figure 1As shown, this embodiment provides a digital training and intelligent power supply system based on the characteristics of front-line power supply personnel, including: an intelligent system construction module, a demand analysis module, a digital modeling module, a course design module, a simulation operation module and an expert guidance module, which together constitute a complete closed-loop training and operation system.

[0035] In the intelligent system construction module, an intelligent power supply system is built according to the work characteristics of front-line power supply personnel to improve their work efficiency and safety; this module mainly includes hardware deployment and data acquisition module, data analysis module, optimization scheduling decision and execution module, and human-computer interaction and visualization display module.

[0036] The hardware deployment and data acquisition module is used to comprehensively obtain line operating status and environmental information. Smart meters are installed in distribution rooms to accurately measure power consumption data. Various sensors and smart meters are deployed at key nodes in the front-line power supply system, such as substations, transmission lines, and distribution rooms. High-precision temperature sensors, voltage transformers, current transformers, and gas sensors capable of monitoring the status of gas-insulated equipment such as SF6 are installed in substations to collect real-time parameters such as equipment operating temperature, voltage, current, and gas status. Fault indicators, distributed fiber optic sensors (for monitoring line temperature and stress, etc.), and meteorological sensors (for monitoring wind speed, temperature, humidity, and other meteorological conditions) are installed on transmission lines.

[0037] In the data analysis module, a powerful data analysis platform is established, applying machine learning algorithms and data mining techniques to conduct in-depth analysis of the massive amount of power supply system operation data collected in real time. By learning from historical and real-time data, a model of normal equipment operation status and a fault pattern recognition model are established. While monitoring the power supply system operation data in real time, the system compares and analyzes it with the normal operation model. If any abnormal fluctuations or deviations from the normal pattern are detected, a fault diagnosis process is immediately initiated. By combining multiple algorithms and models, the system comprehensively determines the fault type, location, and severity. For example, internal transformer faults can be accurately diagnosed based on multiple indicators such as increased transformer oil temperature and changes in oil gas composition. Line faults can also be located based on information such as sudden current changes in the transmission line and stress anomalies detected by distributed fiber optic sensors. Furthermore, the intelligent power supply system's fault simulation function is used to create complex fault scenarios, allowing power supply personnel to apply the knowledge and skills learned in digital training to diagnose and resolve faults while actually operating the system. This approach not only verifies the effectiveness of power supply personnel's training but also enhances their ability to respond to emergencies in real-world situations, further deepening their understanding and mastery of the intelligent power supply system.

[0038] In the optimized scheduling decision-making and execution module, to ensure secure, stable, and cost-effective power supply, the intelligent power supply system utilizes intelligent algorithms for optimization calculations based on real-time data feedback on the power supply system's operating status, load demand changes, and the generation of distributed power sources. During peak hours, the tap positions of substation transformers and the switching of capacitor banks can be rationally adjusted to optimize reactive power compensation and reduce network losses. Based on the generation capacity and load demand of distributed power sources, the output and grid connection strategies of distributed power sources are dynamically adjusted to improve the utilization rate of renewable energy. Optimized scheduling instructions are transmitted via a reliable communication network to the control systems of frontline power supply equipment, such as the substation automation system and the inverter control system of the distributed power source, enabling remote automatic control operations and ensuring the timely and accurate execution of scheduling decisions.

[0039] In the human-computer interaction and visualization module, a simple, intuitive, and easy-to-use human-computer interaction interface was designed, taking into account both the user immersive experience and the corresponding hardware requirements. This interface is designed for frontline power supply personnel and monitoring center managers. In the monitoring center, the geographical distribution and operating status of transmission lines are displayed using a GIS platform. Dynamic charts present trends in substation equipment operating parameters. Live video streams of key equipment (e.g., from IP cameras installed at the substation) are combined to provide managers with a comprehensive and intuitive understanding of power supply system operations. Frontline power supply personnel are equipped with convenient handheld devices (such as smartphones or tablets) to interact with the intelligent power supply system via mobile applications. On-site power supply personnel can receive real-time system-driven task instructions and equipment warnings, view detailed equipment parameters, operating instructions, and maintenance records, and provide timely feedback on field work progress, such as uploading inspection photos and recording equipment defects. Furthermore, the handheld terminals support remote operation authorization. In emergency situations, after undergoing a rigorous identity authentication and authorization process, power supply personnel can remotely operate certain equipment while ensuring safety, thereby improving emergency response efficiency.

[0040] The needs analysis module is used to understand the job characteristics and skill requirements of various frontline power supply personnel, thereby clarifying the objectives and key content of digital training. This specifically covers equipment safety and personnel safety awareness. For equipment safety, data collected by the intelligent power supply system provides a detailed understanding of the safety protection mechanisms, common safety hazards, and past safety incidents associated with each job position. For example, for substation operators and maintenance personnel, data is collected on the operating conditions and maintenance requirements of safety protection devices (such as relay protection devices and grounding systems) for various equipment within the substation (e.g., transformers and switchgear), as well as safety incidents caused by equipment failures. For transmission line inspectors, data is collected on the implementation and inspection points of safety measures such as lightning protection, pollution prevention, and vibration control, as well as safety issues caused by natural factors or human damage. Specific questionnaires and interview questions are designed to assess the trainees' safety awareness and operational standards, assessing their familiarity with safety operating procedures in their daily work, their habits in using safety equipment, and their ability to respond to sudden safety incidents. For example, substation operators were asked whether they strictly followed safety inspection procedures before operating equipment, and whether transmission line inspectors correctly wore personal safety equipment during field work. Based on the survey results, when determining digital training objectives, equipment safety operating procedures and personnel safety awareness cultivation were key training areas. For example, detailed training courses on safe substation equipment operation procedures were developed for substation operators, covering safety precautions during equipment outages, power supply, and maintenance operations. Transmission line inspectors were also provided with training on power line safety protection knowledge and skills, such as how to correctly identify and handle dangerous points on the line.

[0041] The digital modeling module builds virtual learning environments tailored to specific training objectives for frontline power supply personnel. Specifically, taking into account accessibility and feasibility requirements, professional modeling software such as 3ds Max is used to construct a highly realistic virtual power supply environment based on actual frontline power supply scenarios. For substation operators and maintenance personnel, a precise virtual substation is created, including various types of transformers, switchgear, busbars, relay protection devices, and other equipment, as well as the substation's architectural structure, layout, and surrounding environment. For transmission line inspection personnel, a transmission line model is constructed, encompassing various terrain and climate conditions, complete with towers, insulators, conductors, and other infrastructure. The constructed virtual environments are integrated into a web-based training platform, ensuring convenient internet access for frontline power supply personnel in various locations. System performance is optimized, balancing model fidelity with web loading speed to avoid slow loading times due to large models, which could negatively impact the training experience. The web training platform utilizes asynchronous loading and real-time saving technologies, allowing power supply personnel to flexibly enter and exit the virtual learning environment at different times without disrupting their learning progress. For example, if a power supply technician needs to pause their learning process due to an emergency, the system automatically saves their current learning status and operation history, allowing them to quickly resume their learning from where they left off the next time they log in. To accommodate the learning needs of power supply technicians at different time periods, such as during work breaks or during non-working hours like nighttime, the platform provides 24-hour uninterrupted service and optimizes server load balancing strategies to ensure stable performance even with high concurrent access, meeting the needs of large numbers of power supply technicians for simultaneous online learning.

[0042] In the course design module, a diverse training curriculum system is designed based on the training needs of personnel in different positions. Specifically, taking into account the need to enhance knowledge and skills, and based on the various faults identified in the intelligent power supply system data analysis module, the course content covers power system basics, safe operating procedures, equipment operation and maintenance techniques, and fault diagnosis and troubleshooting methods. Various training resources are developed, such as vivid animated demonstration videos that showcase the internal structure, operating principles, and operational processes of equipment; detailed illustrated tutorials with real-world case studies to deepen power supply personnel's understanding of theoretical knowledge; and recorded audio lectures from experts to facilitate on-the-job learning. This module also establishes a learning path recommendation system that recommends appropriate courses and learning resources based on the personnel's initial skill assessment results and learning goals. For example, for power supply personnel with a weak foundation in equipment operation, the system first recommends basic equipment operation courses with related animated demonstration videos and illustrated tutorials. Once they have mastered a certain foundation, they are then guided to advanced equipment maintenance and fault diagnosis courses. Furthermore, the system dynamically adjusts the learning path based on the personnel's learning progress and performance to ensure effective and targeted learning.

[0043] The simulation operation module enables frontline power supply personnel to complete various simulated operational tasks within a virtual training environment. Specifically, by fully considering the operational and safety regulations required for virtual simulations, as well as the requirements for immersion and realism, advanced 3D modeling and virtual reality (VR) / augmented reality (AR) technologies are utilized to create a virtual environment that closely resembles the actual substation and transmission line scenarios. For virtual substations used for substation operations and maintenance, the appearance, color, logo, and spatial layout of the equipment must be accurately represented, including transformer models, switchgear operation panel details, and even the sounds and vibrations of equipment operation. For virtual scenes used for transmission line inspections, line conditions under different terrains (such as steep slopes in mountainous areas, open plains, and special structures at river crossings) and climatic conditions (such as line swaying in wind and rain, and the condition of towers covered in ice and snow) are realistically reproduced, allowing power supply personnel to feel as if they are at the real work site.

[0044] In the design of specific operational tasks, the simulated operation steps and sequences are designed according to actual operating specifications and workflows. For example, during transformer opening and closing operations, standard operating procedures in the power industry must be strictly followed. This includes pre-operation equipment inspections (e.g., checking parameters such as oil temperature, oil pressure, and winding temperature for normal operation and confirming the absence of abnormal alarm signals), preparation and inspection of operating tools, accurate operational actions during operation (e.g., the correct closing or opening technique, the order and time intervals for pressing buttons), and post-operation equipment status verification (e.g., observing the transformer's operating sounds and instrument indications for normal operation). These procedures are completely consistent with the actual workflow, allowing power supply personnel to develop correct operating habits during the simulation. Safety regulations and precautions are also visually indicated within the virtual operating environment. Clear safety warning signs, such as "High Voltage Danger" and "Do Not Touch," are placed around equipment. Appropriate safety reminders pop up on the operation interface to remind power supply personnel of key safety points to be aware of during operation. For example, when power supply personnel approach operating high-voltage equipment, the system automatically displays safety distance reminders and protective measures. For operations that violate safety regulations, the system will enforce constraints and issue warnings: If the power supply personnel do not wear safety protection equipment (such as insulating gloves, safety helmets, etc.) as required during the simulated operation or perform dangerous illegal operations (such as performing live work on equipment that has not been powered off), the system will immediately issue an alarm and a warning screen to prevent the operation from continuing, and prompt the correct operating methods and safety regulations. At the same time, the illegal operation behavior will be recorded as the focus of subsequent evaluation and training.

[0045] During the evaluation phase, power supply personnel are comprehensively scored based on their operating procedures, action standardization, and environmental perception, generating an evaluation report. This report not only identifies technical errors made by power supply personnel but also provides feedback on their immersive and realistic experience during the simulated operation. For example, it assesses whether power supply personnel can accurately perceive changes in equipment operating status, the impact of environmental factors on operations, and whether they can naturally interact with equipment and scenarios in the virtual environment. If power supply personnel demonstrate unfamiliarity with the environment or equipment during operation, such as becoming lost during a transmission line inspection in complex terrain or being unable to correctly identify equipment fault characteristics, the evaluation report will provide targeted recommendations, such as strengthening observation and learning of specific environments and equipment to improve their perception of actual work scenarios. Based on the evaluation results, the system also provides power supply personnel with improvement suggestions and practice content related to immersion and authenticity. For example, if they are not sensitive enough to the sound and vibration feedback of the equipment, special sensory training is recommended, such as watching and listening to videos and audio materials of actual equipment operation to enhance their perception of the equipment status; if they have difficulties in interacting with the virtual environment, such as unsmooth operation or unfamiliarity with the operation interface, more virtual operation practice opportunities and operation guides are provided to help them improve their operating proficiency and naturalness in the virtual environment.

[0046] The expert guidance module provides remote training and expert guidance to frontline power supply personnel. Specifically, evaluation reports generated after simulated operations identify key challenges encountered by power supply personnel during operations. Regular remote collaborative training sessions are organized to simulate complex power supply system failure scenarios, such as a complete substation outage or multiple transmission line failures. During these sessions, frontline power supply personnel from different positions form teams and communicate and collaborate in real time through the training platform's communication capabilities to jointly develop and implement troubleshooting plans. Power industry experts are also invited to participate in the training online. These experts can observe the power supply personnel's operations in real time and provide immediate guidance and corrections at critical points. After the training, the experts provide summaries and comments, sharing practical work experiences and best practices to broaden the perspectives and thinking of power supply personnel. With the continuous upgrade and improvement of intelligent power supply systems, the skill requirements for frontline power supply personnel are also evolving. Through the expert guidance module, power supply personnel can learn and master new technologies and new operating methods in a timely manner and improve their own skills. At the same time, the experience they accumulate and the problems they discover in the actual operation of the intelligent power supply system can also provide new teaching content and improvement directions for digital training, forming a virtuous circle of personnel skill improvement and system optimization, so that digital training and intelligent systems are closely linked and promote each other.

[0047] This invention combines the synergistic advantages of the digital training system and the intelligent power supply system, and through the deep integration of modern information technology, artificial intelligence and the Internet of Things, it significantly improves the efficiency of power supply system operation and management and the skill level of front-line power supply personnel.

[0048] This invention is applicable to smart management scenarios in various power supply enterprises and related industries, and is particularly suitable for the following situations:

[0049] High-intensity power supply working environment: In scenarios with heavy workloads and high equipment maintenance requirements, the digital training system can provide learning resources at any time, and the intelligent power supply system ensures safe and stable equipment operation.

[0050] Emergency accident handling needs: For scenarios such as natural disasters and sudden failures of power equipment, the intelligent system can quickly locate the fault and provide treatment suggestions. The training system generates emergency training plans based on actual cases to improve personnel's emergency response capabilities.

[0051] Widely distributed power supply networks: In geographically distributed power supply networks, remote monitoring and digital learning platforms enable resource sharing and efficient management, eliminating the time and cost associated with offline centralized training and manual inspections.

[0052] Industry digital transformation needs: Applicable to industries that need to improve intelligent management levels and the comprehensive quality of personnel, including but not limited to power grid companies, property management companies, and other institutions centered on power services.

[0053] Through practical application in the above scenarios, the present invention can effectively promote enterprises to move towards digitalization, intelligence and greening, and has significant promotion value.

[0054] In summary, the present invention proposes a digital training and intelligent power supply system based on the characteristics of frontline power supply personnel, including:

[0055] Intelligent system construction module, used to deploy on-site hardware and collect power supply system operation data.

[0056] The demand analysis module is used to obtain the equipment safety needs and personnel safety awareness of substation operation and maintenance personnel and transmission line inspection personnel through questionnaires and interviews, and to determine the training objectives and directions accordingly.

[0057] The digital modeling module is used to use 3D modeling software to build virtual scenes that are highly consistent with real substations and transmission lines, and integrate the virtual scenes into the web-based training platform to achieve asynchronous loading, real-time saving and high-concurrency access.

[0058] The course design module is used to design training courses based on the results of the demand analysis module, and to produce animated demonstration videos, graphic tutorials, and expert audio explanations for online learning of power supply personnel at different skill levels. It also dynamically recommends learning paths based on the students' initial assessment results and learning progress.

[0059] The simulation operation module is used to design simulation operation tasks consistent with the actual operation process in a virtual scene, use VR / AR technology to realistically present the sound, light, vibration and meteorological effects of equipment operation, and conduct practical training for power supply personnel in a virtual environment. The virtual environment provides visual prompts for key safety points, restricts and warns against illegal operations, and generates an evaluation report based on the trainees' operating steps and environmental perception capabilities, providing feedback on technical errors and suggestions for improving the immersive experience.

[0060] The expert guidance module is used to organize remote collaborative training and real-time expert guidance based on the evaluation reports generated by the simulation operation module, simulate complex fault scenarios and provide online comments and experience sharing to power supply personnel. At the same time, student feedback is fed back to the demand analysis module and course design module to optimize the training content and human-computer interface, and dynamically iterate with system function upgrades and scenario updates.

[0061] In the present invention, terms such as "installed," "connected," "connected," and "fixed" should be understood broadly. For example, "connected" may refer to a fixed connection, a detachable connection, or an integral connection; and "connected" may refer to a direct connection or an indirect connection via an intermediary. Those skilled in the art will understand the specific meanings of the above terms in the present invention based on specific circumstances.

[0062] The shapes of the various components in the drawings are schematic, and certain differences from their actual shapes are not excluded. The drawings are only used to illustrate the principles of the present invention and are not intended to limit the present invention.

[0063] Although the present invention has been disclosed in detail with reference to the accompanying drawings, it should be understood that these descriptions are merely illustrative and are not intended to limit the application of the present invention. The scope of the present invention is defined by the appended claims and includes various modifications, variations, and equivalents made to the invention without departing from the scope and spirit of the present invention.

Claims

1. Digital training and intelligent power supply system based on the characteristics of front-line power supply personnel, characterized by: The system comprises: Intelligent system construction module, used to deploy on-site hardware and collect power supply system operation data; The demand analysis module is used to obtain the equipment safety needs and personnel safety awareness of substation operation and maintenance personnel and transmission line inspection personnel through questionnaires and interviews, and to determine training objectives and directions accordingly; A digital modeling module, which uses 3D modeling software to build virtual scenes that are highly consistent with real substations and transmission lines, and integrates the virtual scenes into a web-based training platform to enable asynchronous loading, real-time saving, and high-concurrency access; The course design module is used to design training courses based on the results of the needs analysis module and produce animated demonstration videos, graphic tutorials, and expert explanation audio for online learning for power supply personnel at different skill levels. It also dynamically recommends learning paths based on the students' initial assessment results and learning progress. The simulation operation module is used to design simulated operation tasks consistent with actual operation processes in a virtual scene. It uses VR / AR technology to realistically present the sound, light, vibration and meteorological effects of equipment operation. It also conducts practical training for power supply personnel in the virtual environment. The virtual environment provides visual prompts for key safety points, restricts and warns against illegal operations, and generates an evaluation report based on the trainee's operation steps and environmental perception ability, providing feedback on technical errors and suggestions for improving the immersive experience. The expert guidance module is used to organize remote collaborative training and real-time expert guidance based on the evaluation reports generated by the simulation operation module, simulate complex fault scenarios and provide online comments and experience sharing to power supply personnel. At the same time, student feedback is fed back to the demand analysis module and course design module to optimize the training content and human-computer interface, and dynamically iterate with system function upgrades and scenario updates.

2. The digital training and intelligent power supply system based on the characteristics of front-line power supply personnel according to claim 1 is characterized in that: The operating data collected by the intelligent system construction module is used for intelligent scheduling and fault diagnosis decisions on the one hand, and as case material for digital training on the other hand; the operating data and evaluation results of the simulation operation module are fed back to the demand analysis module, course design module and intelligent system construction module, forming a closed-loop feedback loop of data interconnection between the modules.

3. The digital training and intelligent power supply system based on the characteristics of front-line power supply personnel according to claim 1 is characterized in that: The intelligent system construction module further includes: The hardware deployment and data acquisition submodule is used to deploy sensors and smart meters at key nodes to collect real-time equipment temperature, voltage, current, gas insulation status, line temperature, stress, and meteorological information; The data analysis submodule is used to establish a normal operating state model of the equipment and a fault pattern recognition model, and uses machine learning algorithms to compare and analyze the real-time collected power supply system operating data to achieve fault diagnosis; The optimized scheduling decision-making and execution submodule is used to optimize the substation tap position, capacitor bank switching, distributed power output and grid connection strategy based on real-time data and load demand, and issue automatic control instructions to the front-line equipment control system; The human-computer interaction and visualization display submodule is used to display the geographical distribution and operating status of transmission lines through the GIS platform and dynamic charts, push task instructions, equipment warnings and operation guides to power supply personnel through mobile terminal applications, and support remote operation authorization.

4. The digital training and intelligent power supply system based on the characteristics of front-line power supply personnel according to claim 1 is characterized in that: The course design module is specifically used to: design a curriculum system including basic knowledge of power systems, safe operating procedures, equipment operation and maintenance skills, and fault diagnosis and handling methods based on the job skill requirements and safety training objectives produced by the demand analysis module; produce various forms of training resources including animated demonstration videos, graphic tutorials, and expert audio explanations; build a learning path recommendation system to recommend basic courses or advanced courses to power supply personnel based on initial assessment results and learning progress, and dynamically adjust subsequent learning paths to ensure pertinence and effectiveness.

5. The digital training and intelligent power supply system based on the characteristics of frontline power supply personnel according to claim 1 is characterized in that: The simulation operation module is specifically used to: design simulation operation tasks based on real operation processes, simulate key operation steps such as transformer opening / closing operations and equipment inspections; use VR / AR technology to realistically present the sound, vibration, lighting and meteorological effects of equipment operation; provide visual prompts for safety points, including setting safety warning signs around the equipment and popping up safety prompts on the operation interface; enforce constraints and warnings on illegal operating behaviors; generate an evaluation report based on the trainees' operation steps, action standardization and environmental perception ability in the virtual environment, point out technical errors and provide suggestions for improving immersion experience and operation proficiency.

6. The digital training and intelligent power supply system based on the characteristics of frontline power supply personnel according to claim 1 is characterized in that: The operating data collected by the intelligent system construction module is not only used for intelligent scheduling and fault diagnosis decision-making, but also serves as case material for digital training to enhance the pertinence and practicality of the training content; the operating data and evaluation results of the simulation operation module are fed back to the demand analysis module, course design module and intelligent system construction module in real time, forming a closed-loop feedback mechanism for data interconnection, thereby improving the operating skills of front-line power supply personnel and the operating efficiency and safety of the intelligent system.

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