Intelligent training system for power dispatcher

Abstract

The invention belongs to the field of learning training, and particularly discloses an electric power dispatcher intelligent training system which comprises a presentation layer, a gateway layer, a business layer, a service layer and a data storage layer. The business layer comprises a personnel information management module, a learning module, an examination module and an evaluation module. According to the invention, a perfect evaluation system is established, evaluation and management can be carried out on the learning results of the dispatcher, and all information is gathered in the personnel information bar for comprehensive analysis, so that the learning cost of the dispatcher is saved, the training efficiency is improved, and the training time of a new dispatcher is greatly shortened.

Description

Technical Field

[0001] The invention belongs to the field of learning and training, and in particular relates to an intelligent training system for electric power dispatchers. Background Art

[0002] The power industry has high technical barriers and involves many fields. New employees need to master a lot of professional knowledge and operational skills. As the proportion of new dispatchers continues to rise, how to train outstanding and experienced dispatchers in a short period of time is an urgent problem to be solved. The previous training model faces problems such as long growth cycle of dispatchers, unsystematic learning content, and no one to supervise and guide them at all times. However, as the scale of the power grid continues to grow, the requirements for power supply services continue to increase, and epidemics and disasters continue to occur, the dispatcher position urgently needs to innovate the training model and improve the efficiency of dispatcher training to promote the rapid improvement of the technical level and quality of newcomers. Therefore, there is an urgent need for an intelligent training system for power dispatchers that can realize the rapid training of new dispatchers and improve training efficiency. Summary of the invention

[0003] In order to address the deficiencies in the prior art, the present invention aims to provide an intelligent training system for power dispatchers. The system establishes a complete assessment system that can assess and manage the learning outcomes of dispatchers, and summarizes all information in the personnel information column for comprehensive analysis, thereby saving dispatchers' learning costs, improving training efficiency, and greatly shortening the training time for new dispatchers.

[0004] In order to achieve the above object, the technical solution adopted by the present invention is: An intelligent training system for electric power dispatchers, comprising a presentation layer, a gateway layer, a business layer, a service layer and a data storage layer; The presentation layer uses pages to interact with users and display graphics; The gateway layer adopts server routing, security authentication, authority control, and flow control technologies to perform unified login authentication, flow limiting, and caching for all requests, and performs request authentication, forwarding, rejection, and protocol conversion; The business layer is used for daily learning and online examination of professional skills and knowledge of dispatchers, and has the functions of course browsing, online learning, and learning progress, and is used for the management and statistics of question banks, test papers, courses, and scores of managers; The service layer uses a combination of data encryption services, log services, document preview services, and file storage services to achieve secure data transmission and processing; The data storage layer includes network resources and storage resources to realize the storage of business data.

[0005] Furthermore, the platform display layer adopts Html, Vue, Javascript, CSS style, and JSP technology to achieve page interaction and graphical display; the business layer adopts SpringBoot technology to achieve multi-module management; and the data storage layer adopts MySQL relational database.

[0006] Furthermore, the business layer includes a personnel information management module, a learning module, a test module and an assessment module; The personnel information management module requires the dispatcher to authenticate his / her real name and conducts statistical management of the dispatcher's necessary personal information and related learning status; The learning module is used by dispatchers to use their spare time to learn business knowledge without the restriction of paper materials; it includes theoretical learning of various regulations and professional knowledge, knowledge question bank, case analysis, achievement self-examination, key knowledge base and wrong question collection; The examination module is used for dispatchers to practice and self-test online, and the examination system is opened regularly when necessary to conduct online examinations on the dispatchers' periodic learning results, as well as certification examinations and skill competition examinations; The assessment module constructs a reasonable scoring system based on the daily learning content in the learning module and the examination results in the examination module to score the dispatcher's learning situation, thereby reflecting the dispatcher's learning status, and decides whether the dispatcher should take the promotion examination based on the comprehensive scoring results.

[0007] Furthermore, the personnel information management module includes a personnel basic information module, a learning sign-in module and a learning time statistics module; the personnel basic information module manages the dispatcher's basic personal information after real-name authentication; the learning sign-in module is used for user login sign-in statistics and learning evaluation; the learning time statistics module is used to record the user's learning time.

[0008] Furthermore, the learning module includes a theoretical learning module, a video teaching module, a question bank module, a case analysis module, a key knowledge collection module and a comprehensive application module; The theoretical learning module is used for theoretical learning of various professional knowledge and rules and regulations; The video teaching module: includes various on-site and theoretical teaching videos, and 3D animations; The question bank-cable module is used to manage and maintain system question resources, including professional knowledge question bank, ground adjustment regulations question bank, substation safety regulations question bank, power transmission safety regulations question bank, power distribution safety regulations question bank, and certification examination question bank; The case analysis module is used for analyzing and explaining various actual classic cases and analyzing the accident handling steps; The key knowledge collection module: the knowledge that the dispatcher personally considers to be doubtful, difficult, and easy to forget is marked with "asterisks" and included in the key knowledge for the dispatcher to focus on learning; The comprehensive application module is used for reference learning of holiday power supply protection plans, anti-accident exercise plans, preventive control measures, trial operation measures, and low-frequency load reduction plans.

[0009] Furthermore, the examination module includes a random answering module, a self-assessment module, an online examination module, a skills competition module, a promotion examination module and a wrong question bank; The random answering module includes the following answering modes: random answering of professional knowledge, random answering of ground adjustment regulations, random answering of substation safety regulations, random answering of transmission safety regulations, random answering of distribution safety regulations, and random answering of all question banks; The self-assessment module includes assessment modes such as professional knowledge assessment, ground survey regulations assessment, substation safety regulations assessment, transmission safety regulations assessment, distribution safety regulations assessment, comprehensive assessment of all question banks, and weekly assessment; The online examination module is organized and developed regularly by the team to test the learning outcomes; The skill competition module is open at regular intervals to organize a skill competition for dispatchers; The promotion examination module is organized by the team to meet the promotion needs of dispatchers; The wrong question database is used to collect wrong questions in daily practice and examinations of dispatchers by category.

[0010] Furthermore, the assessment module includes an examination score statistics module, a self-test score statistics module and a learning progress evaluation module; the examination score statistics module and the self-test score statistics module use a scoring system to count and score the examination results in the user examination module; the learning progress evaluation module is used to evaluate and score the user's learning progress, and incorporate it into the comprehensive score according to the scoring system rules.

[0011] Furthermore, various learning resources are configured in the learning module. The administrator plans courses according to professional, position or skill requirements, configures learning topics, learning time, course content, in-class tests, and examiners; course attributes include task-based learning and knowledge accumulation learning; task-based learning requires students to complete online learning and in-class tests within the specified time; front-end and back-end database technologies are used to record students' learning progress in real time, including the hours learned, remaining hours, and learning status; the in-class test module requires students to test their learning results within the specified time, and the test results are included in the learning progress and performance management; there is no requirement for knowledge accumulation learning, and students can choose whether to participate in the learning according to their own circumstances; The learning module assigns learning tasks and knowledge centers to users in their personal names through the course learning page; learning tasks support online learning and in-class tests. During the learning process, the application automatically records the employee's learning time to determine whether the standard has been met; the knowledge center supports online learning, with no time limit and no test questions; multimedia learning resources support learning resources in multiple formats such as documents and videos, and use HTML5 technology to achieve online playback of resources; learning progress management uses front-end JavaScript and back-end database technology to record students' learning time, learning progress and other information in real time; The test questions in the question bank module are classified according to different attributes, allowing administrators to add, edit, delete and query; the test question classification attributes include classification by question type, classification by subject and classification by difficulty; the test question types classified by question type include single-choice questions, multiple-choice questions, true-or-false questions, fill-in-the-blank questions, short-answer questions and material questions.

[0012] Furthermore, when taking an online exam, the test module allows users to view the test information assigned to them and answer questions for the exam. The test process is controlled by front-end JavaScript and back-end API interaction to simulate a real test environment and control the test process, including starting the test, submitting the test paper, and the test time countdown. Instant feedback on test results: After the test, the test scores and wrong question analysis are displayed immediately to help students quickly understand their own learning status. The test module has the function of freely combining test questions for simulated tests, so as to timely identify weaknesses and focus on learning, thereby promoting the improvement of personal professional knowledge level; a flexible question combination interface is provided when freely combining questions, allowing students to freely choose majors and question types to combine test questions for simulated tests according to their needs; after the simulated test, the test results and wrong question analysis are displayed in real time, helping students quickly understand their own learning status and carry out targeted improvement; The test papers of the random answering module and the self-assessment module are divided into daily task-based tests and in-class knowledge tests according to their target uses; the in-class knowledge test is associated with the corresponding learning course, and a flexible test paper configuration interface is provided, allowing the administrator to set up addition, editing, deletion, and query operations; the test paper includes two parts: the test subject and the test question configuration, wherein the test subject module allows the administrator to set the test subject, score, time, passing score, and information of the examiner; the test question configuration allows the administrator to manage the test questions, and supports two forms of manual combination and random question combination, wherein the random question combination adopts an intelligent test paper generation algorithm, and automatically combines test questions to generate a test paper according to the test objectives of knowledge point classification, question type, and difficulty distribution; The wrong question bank collects all wrong questions from online exams, mock exams, and in-class exams, so that employees can focus on studying the wrong questions and eliminate weak knowledge points in a timely manner; For automatic collection of wrong questions: the training tool automatically collects wrong questions into a wrong question book based on the students' test and practice situations; there should be a corresponding wrong question recording mechanism for wrong questions in online exams, mock exams and in-class exams; for classification of wrong questions: classify them according to the knowledge points, question types and other attributes to which they belong, and support filtering according to different dimensions to facilitate students to conduct targeted review; for analysis and prompts: for each wrong question, the application should provide detailed analysis and correct answers to help students understand the reasons for the errors, and at the same time provide relevant prompts or learning suggestions to guide students on how to improve.

[0013] Furthermore, the assessment module is mainly open to the test administrator, who conducts a secondary check on the submitted online test papers, and corrects any abnormal scoring points found to ensure that the scoring results are accurate. Single-choice questions, multiple-choice questions, true-or-false questions, and fill-in-the-blank questions support automatic scoring, and short-answer questions are divided into automatic scoring and manual scoring. When short-answer questions are set to automatic scoring, they are automatically scored by the application tool; when short-answer questions are set to manual scoring, they are manually scored. Automatic scoring system: automatic scoring algorithms are applied to objective questions including single-choice questions, multiple-choice questions, true-or-false questions, and fill-in-the-blank questions to ensure the accuracy and efficiency of scoring. The manual scoring system provides a manual scoring interface for subjective questions such as short-answer questions, and supports the setting of scoring standards and manual scoring. The assessment module automatically generates an examination record after the student submits the examination paper. According to the examination type, the examination record is divided into online examination, in-class examination and simulation examination. After the student submits the examination paper, the application automatically generates an examination record, including the examination time, examination type and examination results. It has an examination record query function, supports filtering by examination type conditions, and supports viewing the examination result details.

[0014] The beneficial effects of the present invention are: 1. Aiming at the demand for improving the daily business capabilities of dispatchers, the present invention sets up learning modules such as theoretical learning, video teaching, question bank overview, case analysis, key knowledge collection, and comprehensive application in the training system, and sets up an examination module for the learning content, organically combining learning and testing, and realizing the mutual connection between the theoretical basis of knowledge points and processing practice among various modules.

[0015] 2. The present invention aims at dispatchers who have undergone online real-name authentication, and provides functions such as learning sign-in, duration statistics, self-test score statistics, point rewards, and accident case analysis effectiveness rating, so as to uniformly evaluate and manage dispatchers from theoretical learning to practical processing.

[0016] 3. The present invention incorporates dispatcher duties such as theoretical knowledge, operation tickets, new equipment startup, and accident handling into the intelligent training system, systematically trains dispatchers, saves dispatchers' learning costs, improves training efficiency, and comprehensively improves management levels, which has certain economic benefits. BRIEF DESCRIPTION OF THE DRAWINGS

[0017] Figure 1 It is a system architecture diagram of the present invention; Figure 2 It is a framework diagram of the business layer of the present invention. DETAILED DESCRIPTION

[0018] The principles and features of the present invention are described below in conjunction with the accompanying drawings. The examples given are only used to explain the present invention and are not intended to limit the scope of use of the present invention.

[0019] like Figure 1 As shown, the present invention proposes an intelligent training system for power dispatchers, which has the functions of course browsing, online learning, and learning progress management, so as to facilitate students to conduct independent learning. At the same time, it also supports multiple learning modes, such as video learning, online testing, etc., to meet different learning needs. Thereby improving the professional level and comprehensive quality of power dispatchers, and providing strong guarantee for the safe and stable operation of the power system.

[0020] The present invention accurately grasps the implementation of special guidance and evaluation of employee learning, reduces the blindness of control personnel's learning, improves the efficiency of dispatcher training, and shortens the training cycle of mature dispatchers. The advanced technologies such as data storage and intelligent analysis are deeply integrated to build an efficient, intelligent, and comprehensive power dispatcher training system. Through intelligent analysis of the dispatcher's learning data, the knowledge gaps and weak links can be accurately located to achieve personalized and precise training program formulation. Using intelligent management tools, the whole process of training can be monitored and data analyzed to improve training efficiency and management level.

[0021] The system includes presentation layer, gateway layer, business layer, service layer and data storage layer.

[0022] The presentation layer realizes page interaction and graphical display through technologies such as Html, Vue, Javascript, CSS style, and JSP.

[0023] The gateway layer uses server routing, security authentication, permission control, and flow control technologies; it performs unified login authentication, flow limiting, and caching for all requests, and performs request authentication, forwarding, rejection, and protocol conversion.

[0024] The business layer mainly displays in the form of PC, using SpringBoot technology. The interface transmission between the front end and the server uses Axios to implement Web data interface interaction. It is used for daily learning and online examinations of dispatchers' professional skills and knowledge, with course browsing, online learning, and learning progress functions, and is used for the management and statistics of managers' question banks, test papers, courses, and scores to meet the needs of different users.

[0025] The service layer combines data encryption services with log services, document preview services, file storage services, etc. to achieve secure data transmission and processing.

[0026] The data storage layer includes network resources, storage resources, etc., and stores business data through the MySQL relational database.

[0027] like Figure 2 As shown, the business layer includes personnel information management module, learning module, examination module and evaluation module.

[0028] The personnel information management module requires the dispatcher to authenticate his / her real name and conducts statistical management of the dispatcher's necessary personal information and related learning status; the personnel information management module includes the personnel basic information module, the learning sign-in module and the learning time statistics module; the personnel basic information module manages the dispatcher's basic personal information after the dispatcher's real-name authentication; the learning sign-in module is used for user login sign-in statistics and learning evaluation; the learning time statistics module is used to record the user's learning time.

[0029] Aiming at the needs of improving the daily business capabilities of dispatchers, the present invention provides business explanation, video guidance, special tests, simulation tests, learning statistics and other functions in the learning module, supports the introduction of diversified learning resources, such as video tutorials, case analysis, expert lectures, etc., and regularly updates the question bank resources to ensure that the content of the questions is synchronized with the actual operation of the power grid, which not only improves the dispatcher's grasp of theoretical knowledge, but also enhances the dispatcher's practical operation ability. It integrates online testing, simulation exercises, and practical assessment to form a closed-loop intelligent training system, conducts a comprehensive and multi-dimensional ability assessment of dispatchers, and ensures the objectivity and accuracy of the training effect.

[0030] Specifically, the learning module is used by dispatchers to use their spare time to learn business knowledge without the restrictions of paper materials; it includes theoretical learning of various regulations and professional knowledge, knowledge question bank, case analysis, achievement self-check, key knowledge base and wrong question collection. It includes theoretical learning module, video teaching module, question bank module, case analysis module, key knowledge collection module and comprehensive application module.

[0031] Among them, the theoretical learning module is used for theoretical learning of various professional knowledge and rules and regulations.

[0032] Video teaching module: including various on-site and theoretical teaching videos, 3D animations.

[0033] Question bank module: used to manage and maintain system question resources, including professional knowledge question bank, ground survey regulations question bank, substation safety regulations question bank, power transmission safety regulations question bank, distribution safety regulations question bank, and certification examination question bank.

[0034] Case analysis module: used for analysis and explanation of various actual classic cases, and analysis of accident handling steps.

[0035] Key knowledge collection module: The knowledge that the dispatcher personally considers to be doubtful, difficult, or easy to forget is marked with an "asterisk" and included in the key knowledge for the dispatcher to focus on learning.

[0036] Comprehensive application module: used for reference and study of holiday power supply protection plans, anti-accident exercise plans, preventive control measures, trial operation measures, and low-frequency load reduction plans.

[0037] The present invention configures various learning resources in the learning module. The administrator plans courses according to the professional, position or skill requirements, configures learning topics, learning time, course content, class tests, and examiners; course attributes include task-based learning and knowledge accumulation learning. Task-based learning: students are required to complete online learning and class tests within the specified time. Utilizing front-end and back-end database technology, the learning progress of students is recorded in real time, including the hours learned, remaining hours, learning status, etc. The class test module requires students to check their learning outcomes within the specified time, and the test results are included in the learning progress and performance management. Knowledge accumulation learning: no requirements are made, and students can choose whether to participate in the learning according to their own circumstances.

[0038] The learning module assigns learning tasks and knowledge centers to users in their personal names through the course learning page; learning tasks support online learning and in-class tests. During the learning process, the application automatically records the employee's learning time to determine whether the standard has been met; the knowledge center supports online learning, with no time limit and no test questions. Multimedia learning resources: support learning resources in multiple formats such as documents and videos, and use HTML5 technology to achieve online playback of resources. Learning progress management: through front-end JavaScript and back-end database technology, real-time records of students' learning time, learning progress and other information.

[0039] The test questions in the Question Bank module are classified according to different attributes, allowing administrators to add, edit, delete, and query; test questions can be classified according to different attributes, such as single-choice questions, multiple-choice questions, true-or-false questions, fill-in-the-blank questions, short-answer questions, and material questions. They can also be classified by difficulty, or by subject, etc. A relational database (such as MySQL, PostgreSQL) is used to store test question data, and a table structure containing fields such as question ID, question type, difficulty level, classification, question stem, options (for multiple-choice questions, true-or-false questions), answers, and analysis is designed. Database indexing technology (such as B-Tree index) is used to achieve fast query by question type, difficulty, subject, and other attributes.

[0040] The examination module is used for dispatchers to practice and self-test online. The examination system will be opened regularly when needed to conduct online examinations on the dispatchers' periodic learning outcomes. In addition, highly professional examinations such as certification examinations and skill competitions will be added to reduce the workload of offline related matters.

[0041] The examination modules include random answer module, self-assessment module, online examination module, skill competition module, promotion examination module and wrong question bank.

[0042] The random answering module includes the following answering modes: random answering of professional knowledge, random answering of ground adjustment regulations, random answering of substation safety regulations, random answering of transmission safety regulations, random answering of distribution safety regulations, and random answering of all question banks.

[0043] The self-assessment module includes assessment modes such as professional knowledge assessment, ground survey regulations assessment, substation safety regulations assessment, transmission safety regulations assessment, distribution safety regulations assessment, comprehensive assessment of all question banks, and weekly assessment.

[0044] The test papers of the random answer module and the self-assessment module are divided into daily task-based tests and in-class knowledge tests according to their target uses; the in-class knowledge tests are associated with the corresponding learning courses, and a flexible test paper configuration interface is provided, allowing administrators to add, edit, delete, and query operations; the test paper includes two parts: test subject and test question configuration. The test subject module allows administrators to set the test subject, score, time, passing score, and examiner information; the test question configuration allows administrators to manage test questions, and supports both manual combination and random question combination. The random question combination adopts an intelligent test paper generation algorithm to automatically combine test questions to generate a test paper based on the test objectives of knowledge point classification, question type, and difficulty distribution.

[0045] The online examination module is organized and developed regularly by the team to test learning outcomes.

[0046] The skill competition module is open at regular intervals and organizes skill competitions for dispatchers.

[0047] The promotion examination module is organized by the team to meet the promotion needs of dispatchers.

[0048] The wrong question database is used to collect wrong questions from dispatchers' daily practice and exams by category.

[0049] The wrong question bank collects all the wrong questions from online exams, mock exams, and in-class exams. Employees can focus on learning the wrong questions and eliminate weak knowledge points in a timely manner. Automatic collection of wrong questions: The training tool automatically collects wrong questions into the wrong question book based on the students' exam and practice situations. There should be a corresponding wrong question recording mechanism for wrong questions in online exams, mock exams, and in-class exams. Wrong question classification: Classify the wrong questions according to their knowledge points, question types, and other attributes, and support filtering according to different dimensions to facilitate students to conduct targeted review. Analysis and tips: For each wrong question, the application should provide detailed analysis and correct answers to help students understand the reasons for the errors, and provide relevant tips or learning suggestions to guide students on how to improve.

[0050] When taking an online exam in the exam module, users can view the exam information assigned to them and answer questions. Exam process control: Through front-end JavaScript and back-end API interaction, the real exam environment is simulated to control the exam process, including starting the exam, submitting the exam paper, and the exam time countdown. Instant feedback on exam results: After the exam, the exam results and wrong question analysis are displayed immediately to help students quickly understand their own learning status.

[0051] The exam module has the function of freely combining test questions for simulated exams, so that students can find out their weaknesses in time and focus on learning, thereby promoting the improvement of their professional knowledge level. Free question combination: It provides a flexible question combination interface, allowing students to freely choose majors and question types to combine test questions for simulated exams according to their needs. Instant feedback on test results: After the simulated exam, the test results and wrong question analysis are displayed instantly, helping students quickly understand their own learning status and carry out targeted improvement.

[0052] The assessment module builds a reasonable scoring system based on the daily learning content in the learning module and the test results in the test module, scores the dispatcher's learning situation, so as to reflect the dispatcher's learning status, and decides whether the dispatcher will take the promotion exam based on the comprehensive scoring results. It includes the test score statistics module, the self-test score statistics module and the learning progress evaluation module; the test score statistics module and the self-test score statistics module use the scoring system to count and score the test results in the user's test module; the learning progress evaluation module is used to evaluate and score the user's learning progress, and integrate it into the comprehensive score according to the scoring system rules.

[0053] The assessment module is mainly open to test administrators. Test administrators can conduct a secondary check on the submitted online test papers and correct any abnormal scoring points to ensure that the scoring results are accurate. Single-choice questions, multiple-choice questions, true-or-false questions, and fill-in-the-blank questions support automatic scoring. Short-answer questions are divided into automatic scoring and manual scoring (when short-answer questions are set to automatic scoring, the application tool automatically scores; when short-answer questions are set to manual scoring, there is manual scoring). Automatic scoring system: For objective questions (single-choice questions, multiple-choice questions, true-or-false questions, fill-in-the-blank questions), an automatic scoring algorithm is applied to ensure the accuracy and efficiency of scoring. Manual scoring system: Provides a manual scoring interface for subjective questions such as short-answer questions, and supports the setting of scoring standards and manual scoring.

[0054] The assessment module automatically generates test records after students submit their test papers. According to the test type, the test records are divided into online tests, in-class tests, and mock tests. Record generation: After students submit their test papers, the application automatically generates test records, including test time, test type, and test results. Information record query: Provides test record query function, supports filtering by test type conditions, and supports viewing test result details.

[0055] The present invention establishes a complete assessment system to assess and manage the learning outcomes of the dispatchers, and summarizes all information in the personnel information column for comprehensive analysis, so as to achieve systematic dispatcher training and form a management method for dispatchers' autonomous learning and online assessment, saving dispatchers' learning costs, improving training efficiency, and comprehensively improving management levels. At the same time, it can shorten the growth time of new dispatchers, ensure that there are more than two dispatchers with outstanding abilities in each shift, and complete key tasks related to people's livelihood such as orderly power consumption and disaster supply guarantee, greatly reducing the probability of power grid risks caused by personnel problems. Taking a single dispatcher as an example: the training period of a mature dispatcher is reduced from 3 years to 1.5 years, which promotes him to be involved in special work as soon as possible.

[0056] The training system of the present invention can effectively shorten the training cycle: through efficient and systematic training methods, the growth cycle of dispatchers can be greatly shortened and the training cost can be reduced. The work efficiency can be effectively improved. After the skills of dispatchers are improved, they can handle abnormal events of the power grid more quickly, reduce power outage time and economic losses, reduce the dependence on manual trainers, and reduce labor costs.

[0057] Obviously, the embodiments described above are only some embodiments of the present application, rather than all embodiments. The preferred embodiments of the present application are given in the accompanying drawings, but they do not limit the patent scope of the present application. The present application can be implemented in many different forms. On the contrary, the purpose of providing these embodiments is to make the understanding of the disclosure of the present application more thorough and comprehensive. Although the present application is described in detail with reference to the aforementioned embodiments, for those skilled in the art, it is still possible to modify the technical solutions recorded in the aforementioned specific implementation methods, or to perform equivalent replacement of some of the technical features therein. Any equivalent structure made using the contents of the specification and drawings of this application, directly or indirectly used in other related technical fields, is similarly within the scope of patent protection of this application.

Claims

1. An intelligent training system for power dispatchers, characterized in that: Includes presentation layer, gateway layer, business layer, service layer and data storage layer; The presentation layer uses pages to interact with users and display graphics; The gateway layer uses server routing, security authentication, authority control, and flow control technologies to perform unified login authentication, flow limiting, and caching for all requests, and performs request authentication, forwarding, rejection, and protocol conversion; The business layer is used for daily learning and online examination of professional skills and knowledge of dispatchers, and has the functions of course browsing, online learning, and learning progress, and is used for the management and statistics of question banks, test papers, courses, and scores of managers; The service layer uses a combination of data encryption service, log service, document preview service and file storage service to achieve secure data transmission and processing; The data storage layer includes network resources and storage resources to realize the storage of business data.

2. The intelligent training system for electric power dispatchers according to claim 1 is characterized in that: The platform display layer uses Html, Vue, Javascript, CSS style, and JSP technology to achieve page interaction and graphical display; the business layer uses SpringBoot technology to achieve multi-module management; and the data storage layer uses MySQL relational database.

3. The intelligent training system for electric power dispatchers according to claim 1 is characterized in that: The business layer includes a personnel information management module, a learning module, an examination module and an assessment module; The personnel information management module requires the dispatcher to authenticate his / her real name and conducts statistical management of the dispatcher's necessary personal information and related learning status; The learning module is used by dispatchers to use their spare time to learn business knowledge without the limitation of paper materials; The content includes theoretical learning of various regulations and professional knowledge, knowledge question bank, case analysis, achievement self-check, key knowledge base and wrong question collection; The examination module is used for dispatchers to practice and self-test online, and the examination system is opened regularly when necessary to conduct online examinations on the dispatchers' periodic learning results, as well as certification examinations and skill competition examinations; The assessment module constructs a reasonable scoring system based on the daily learning content in the learning module and the examination results in the examination module to score the dispatcher's learning situation, thereby reflecting the dispatcher's learning status, and decides whether the dispatcher should take the promotion examination based on the comprehensive scoring results.

4. The intelligent training system for electric power dispatchers according to claim 3 is characterized in that: The personnel information management module includes a personnel basic information module, a learning sign-in module and a learning time statistics module; the personnel basic information module manages the dispatcher's basic personal information after real-name authentication; the learning sign-in module is used for user login sign-in statistics and learning evaluation; the learning time statistics module is used to record the user's learning time.

5. The intelligent training system for electric power dispatchers according to claim 3 is characterized in that: The learning modules include a theoretical learning module, a video teaching module, a question bank module, a case analysis module, a key knowledge collection module and a comprehensive application module; The theoretical learning module is used for theoretical learning of various professional knowledge and rules and regulations; The video teaching module: includes various on-site and theoretical teaching videos, and 3D animations; The question bank-cable module is used to manage and maintain system question resources, including professional knowledge question bank, ground adjustment regulations question bank, substation safety regulations question bank, power transmission safety regulations question bank, power distribution safety regulations question bank, and certification examination question bank; The case analysis module is used for analyzing and explaining various actual classic cases and analyzing the accident handling steps; The key knowledge collection module: the knowledge that the dispatcher personally considers to be doubtful, difficult, and easy to forget is marked with "asterisks" and included in the key knowledge for the dispatcher to focus on learning; The comprehensive application module is used for reference learning of holiday power supply protection plans, anti-accident exercise plans, preventive control measures, trial operation measures, and low-frequency load reduction plans.

6. The intelligent training system for electric power dispatchers according to claim 3 is characterized in that: The examination module includes a random answering module, a self-assessment module, an online examination module, a skills competition module, a promotion examination module and a wrong question bank; The random answering module includes the following answering modes: random answering of professional knowledge, random answering of ground adjustment regulations, random answering of substation safety regulations, random answering of transmission safety regulations, random answering of distribution safety regulations, and random answering of all question banks; The self-assessment module includes assessment modes such as professional knowledge assessment, ground survey regulations assessment, substation safety regulations assessment, transmission safety regulations assessment, distribution safety regulations assessment, comprehensive assessment of all question banks, and weekly assessment; The online examination module is organized and developed regularly by the team to test the learning outcomes; The skill competition module is open at regular intervals to organize a skill competition for dispatchers; The promotion examination module is organized by the team to meet the promotion needs of dispatchers; The wrong question database is used to collect wrong questions in daily practice and examinations of dispatchers by category.

7. The intelligent training system for electric power dispatchers according to claim 3 is characterized in that: The assessment module includes an examination score statistics module, a self-test score statistics module and a learning progress evaluation module; the examination score statistics module and the self-test score statistics module use a scoring system to count and score the examination results in the user examination module; the learning progress evaluation module is used to evaluate and score the user's learning progress, and incorporate it into the comprehensive score according to the scoring system rules.

8. The intelligent training system for electric power dispatchers according to claim 5 is characterized in that: Various learning resources are configured in the learning module. The administrator plans courses according to professional, position or skill requirements, configures learning topics, learning time, course content, in-class tests, and examiners; course attributes include task-based learning and knowledge accumulation learning; Task-based learning requires students to complete online learning and in-class tests within a specified time. The front-end and back-end database technologies are used to record students’ learning progress in real time, including the hours learned, remaining hours, and learning status. The in-class test module requires students to check their learning outcomes within a specified time, and the test results are included in the learning progress and grade management; there is no requirement for knowledge accumulation learning, and students can choose whether to participate in the learning according to their own situation; The learning module assigns learning tasks and knowledge centers to users through the course learning page; learning tasks support online learning and in-class tests. During the learning process, the application automatically records the employee's learning time to determine whether the standard is met; the knowledge center supports online learning, with no time limit and no test questions; Multimedia learning resources support learning resources in multiple formats such as documents and videos, and use HTML5 technology to achieve online playback of resources; learning progress management uses front-end JavaScript and back-end database technology to record students' learning time, learning progress and other information in real time; The test questions in the question bank module are classified according to different attributes, allowing administrators to add, edit, delete and query; the test question classification attributes include classification by question type, classification by subject and classification by difficulty; the test question types classified by question type include single-choice questions, multiple-choice questions, true-or-false questions, fill-in-the-blank questions, short-answer questions and material questions.

9. The intelligent training system for electric power dispatchers according to claim 6 is characterized in that: When the test module conducts an online test, the user can view the test information assigned to the individual and support the test answering; The examination process control simulates the real examination environment through the interaction between front-end JavaScript and back-end API, and controls the examination process, including starting the examination, submitting the examination paper, and the examination time countdown; instant feedback on examination results: after the examination, the examination results and wrong question analysis are displayed immediately to help students quickly understand their own learning status; The test module has the function of freely combining test questions for simulated test, so as to timely identify weak points and focus on learning, thereby promoting the improvement of personal professional knowledge level; a flexible question combination interface is provided when freely combining questions, allowing students to freely choose majors and question types according to their needs to combine test questions for simulated test; After the mock test, the test scores and wrong question analysis are displayed immediately to help students quickly understand their own learning status and carry out targeted improvement; The test papers of the random answer module and the self-assessment module are divided into daily task-based tests and in-class knowledge tests according to their target uses; The in-class knowledge test is associated with the corresponding learning course, providing a flexible test paper configuration interface, allowing administrators to add, edit, delete, and query operations; the test paper includes two parts: test subject and test question configuration. The test subject module allows administrators to set the test subject, score, time, passing score, and examiner information; the test question configuration allows administrators to manage test questions, supporting both manual combination and random question combination. The random question combination adopts an intelligent test paper generation algorithm to automatically combine test questions to generate test papers according to the test objectives of knowledge point classification, question type, and difficulty distribution; The wrong question bank collects all wrong questions from online exams, mock exams, and in-class exams, so that employees can focus on studying the wrong questions and eliminate weak knowledge points in a timely manner; For automatic collection of wrong questions: the training tool automatically collects wrong questions into a wrong question book based on the students' test and practice situations; there should be a corresponding wrong question recording mechanism for wrong questions in online exams, mock exams and in-class exams; for classification of wrong questions: classify them according to the knowledge points, question types and other attributes to which they belong, and support filtering according to different dimensions to facilitate students to conduct targeted review; for analysis and prompts: for each wrong question, the application should provide detailed analysis and correct answers to help students understand the reasons for the errors, and at the same time provide relevant prompts or learning suggestions to guide students on how to improve.

10. The intelligent training system for electric power dispatchers according to claim 7 is characterized in that: The assessment module is mainly open to the test administrators. The test administrators conduct a secondary check on the submitted online test papers, and correct the scoring anomalies found to ensure the accuracy of the scoring results. Among them, single-choice questions, multiple-choice questions, true-or-false questions, and fill-in-the-blank questions support automatic scoring, and the scoring types of short-answer questions are divided into automatic scoring and manual scoring; when the short-answer questions are set to automatic scoring, the application tool automatically scores; when the short-answer questions are set to manual scoring, there is manual scoring; automatic scoring system: for objective questions including single-choice questions, multiple-choice questions, true-or-false questions, and fill-in-the-blank questions, the automatic scoring algorithm is applied to ensure the accuracy and efficiency of scoring; the manual scoring system provides a manual scoring interface for subjective questions such as short-answer questions, and supports the setting of scoring standards and manual scoring; The assessment module automatically generates an exam record after the student submits the exam answer sheet. According to the exam type, the exam record is divided into online exams, in-class exams, and mock exams. After the student submits the exam paper, the application automatically generates an exam record, including the exam time, exam type, and exam results. It has the function of querying examination records, supports filtering by examination type conditions, and supports viewing examination result details.

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