Electric power training system capable of data analysis and arrangement

Abstract

The invention discloses an electric power training system capable of data analysis and arrangement, and relates to the technical field of electric power training systems, and the system comprises an employee information module, the output end of the employee information module is connected with a training plan management module, and the training plan management module is used for taking charge of the training plan management module according to the training demands of an enterprise and the capability status of employees. A scientific and reasonable training plan is made, and the output end of the training plan management module is connected with a training record management module used for recording the whole training process of each department. According to the electric power training system, by integrating multiple functional modules such as employee information, training plans, training records, statistical reports and data visualization and a big data analysis technology, comprehensive collection, arrangement and analysis of electric power training data are realized, a scientific basis is provided for talent training of enterprises, the training efficiency and effect are improved, and the training cost is reduced. The problems of data confusion, difficult statistics and inaccurate training effect evaluation in training management of power enterprises are solved.

Description

Technical Field

[0001] The present invention relates to the technical field of electric power training systems, and in particular to an electric power training system capable of data analysis and organization. Background Art

[0002] With the acceleration of global energy transformation, especially the proposal of the "dual carbon" goal, the power industry is facing unprecedented changes and challenges. The intelligence and digitalization of power systems have become the key path to achieve this goal. In this context, the construction of new power systems depends not only on the upgrading of hardware facilities, but also on the cultivation of high-quality, compound talents. The optimization and upgrading of power enterprise training systems are of great significance to improving employee skills, promoting technological innovation, and realizing digital transformation.

[0003] At present, the training management of power enterprises has formed a relatively mature management method and work process. These traditional methods have promoted the improvement of employee skills and the orderly development of enterprises to a certain extent. However, with the continuous expansion of training scale and the increasing complexity of training content, traditional training systems have gradually exposed problems such as lack of pertinence, chaotic data management and difficulty in effect evaluation, which makes it difficult to meet the needs of enterprise talent training. Therefore, it is particularly important to develop a power training system that can efficiently manage training data and scientifically evaluate training effects. Summary of the invention

[0004] The purpose of the present invention is to provide a power training system capable of data analysis and organization to solve the technical problems raised in the above-mentioned background technology.

[0005] To achieve the above-mentioned purpose, the present invention provides the following technical solutions: an electric power training system capable of data analysis and collation, comprising an employee information module, the output end of the employee information module is connected to a training plan management module, and the training plan management module is responsible for formulating a scientific and reasonable training plan based on the training needs of the enterprise and the current status of the employees' capabilities, the output end of the training plan management module is connected to a training record management module for recording the entire training process of each department, the output end of the training record management module is connected to a statistical report management module, and the statistical report management module is used to automatically generate various types of human resources statistical reports to improve the speed and accuracy of data statistical aggregation, the output end of the statistical report management module is respectively connected to a system management module and a data analysis and processing module, and the system management module is used to manage the entire system to ensure the safe and stable operation of the system.

[0006] Preferably, the employee information module includes an employee file management module, an organizational structure management module and an information update and maintenance module. The employee file management module is responsible for collecting and storing employee information to ensure the accuracy and timeliness of the data.

[0007] Preferably, the organizational structure management module is used to dynamically adjust the department affiliation and job responsibilities of employees according to the actual structure of the enterprise, and the information update and maintenance module is used to provide dynamic update and maintenance functions for employee information to ensure the real-time and accuracy of employee information.

[0008] Preferably, the information updating and maintenance module comprises a No. 3 data collecting module, a No. 2 data processing module, an information updating module and a maintenance management module, wherein the No. 3 data collecting module is responsible for collecting the latest information from various data sources.

[0009] Preferably, the second data processing module is used to clean and organize the collected information to ensure the accuracy and consistency of the information, the information update module is used to automatically or manually update the information in the system based on the processed data to ensure the timeliness of the information, and the maintenance management module is responsible for monitoring the operating status of the system, promptly discovering and resolving potential problems, and ensuring the stable operation of the system.

[0010] Preferably, the training record management module includes a training information management module, a training progress tracking module, a training effect evaluation module and a training record archiving module. The training information management module is used to record the information of each training, the training progress tracking module is used to track the training progress of employees in real time to ensure the smooth implementation of the training plan, the training effect evaluation module is used to evaluate the training effect, and the training record archiving module is used to archive and save the training records for future reference and analysis.

[0011] Preferably, the statistical report management module includes a data collection module No. 1, a data processing module No. 1, a statistical analysis module, a report design and generation module and a report publishing and management module. The data collection module No. 1 is responsible for collecting data that needs to be counted from various data sources, and the data processing module No. 1 is used to clean, organize and classify the collected data to improve data quality.

[0012] Preferably, the statistical analysis module uses statistical methods and tools to conduct in-depth analysis of the data and extract valuable information. The report design and generation module is used to design the report format and content according to requirements and generate the final report. The report publishing and management module is used to publish the generated report to the specified platform and perform archiving, filing and version management.

[0013] Preferably, the system management module includes a user management module, a permission management module, a data dictionary management module, a system parameter setting module and a log management module. The user management module is responsible for the registration, permission allocation and role management of system users. The permission management module is used to define permission items in the system and allocate corresponding operation permissions to users or user groups. The data dictionary management module is used to maintain the enumeration type data used in the system to ensure the consistency and accuracy of the data. The system parameter setting module is used to uniformly manage and maintain the configurable parameters used by the system. The log management module is used to record system operation logs.

[0014] Preferably, the data analysis and processing module includes a No. 2 data collection module, a data analysis module, a data preprocessing module, a data visualization module and a report generation module. The No. 2 data collection module is responsible for collecting data from various data sources, the data analysis module is used to clean, convert, group and organize the collected raw data, the data preprocessing module applies statistics, machine learning and data mining techniques to perform in-depth analysis of the data, the data visualization module is used to display the analysis results in the form of charts and graphs, and the report generation module organizes the analysis results into a report.

[0015] Compared with the prior art, the present invention has the following beneficial effects:

[0016] 1. The present invention integrates data resources of multiple functional modules such as employee information, training plans, training records, statistical reports, etc., so that the power training system can form complete and systematic human resources statistical reports of various types;

[0017] 2. The present invention uses advanced data processing and analysis technology to conduct in-depth mining and analysis of training data in order to discover potential problems and patterns, thereby better helping enterprises to scientifically formulate training strategies and optimize the allocation of training resources;

[0018] 3. The present invention uses data visualization technology to present the analysis results in an intuitive and easy-to-understand manner, so as to provide scientific decision-making basis and optimized training suggestions for enterprise managers and trainers;

[0019] In summary, the power training system realizes the comprehensive collection, organization and analysis of power training data by integrating multiple functional modules and big data analysis technology such as employee information, training plans, training records, statistical reports, data visualization, etc., providing a scientific basis for the company's talent training, improving training efficiency and effectiveness, and solving the problems of data confusion, statistical difficulties, and inaccurate training effect evaluation in training management of power companies. BRIEF DESCRIPTION OF THE DRAWINGS

[0020] Figure 1It is a schematic diagram of the main framework of the power training system capable of data analysis and organization of the present invention;

[0021] Figure 2 It is a schematic diagram of the framework of the information updating and maintenance module of the present invention.

[0022] In the figure: 1. Employee information module; 101. Employee file management module; 102. Organizational structure management module; 103. Information update and maintenance module; 103a. No. 3 data collection module; 103b. No. 2 data processing module; 103c. Information update module; 103d. Maintenance management module; 2. Training plan management module; 3. Training record management module; 301. Training information management module; 302. Training progress tracking module; 303. Training effect evaluation module; 304. Training record archiving module; 4. Statistical report management module; 401. No. 1 data Data collection module; 402, data processing module No. 1; 403, statistical analysis module; 404, report design and generation module; 405, report publishing and management module; 5, system management module; 501, user management module; 502, authority management module; 503, data dictionary management module; 504, system parameter setting module; 505, log management module; 6, data analysis and processing module; 601, data collection module No. 2; 602, data analysis module; 603, data preprocessing module; 604, data visualization module; 605, report generation module. DETAILED DESCRIPTION

[0023] The following will be combined with the drawings in the embodiments of the present invention to clearly and completely describe the technical solutions in the embodiments of the present invention. Obviously, the described embodiments are only part of the embodiments of the present invention, not all of the embodiments. Based on the embodiments of the present invention, all other embodiments obtained by ordinary technicians in this field without creative work are within the scope of protection of the present invention.

[0024] See also Figure 1 The present invention provides a technical solution: an electric power training system capable of data analysis and organization, comprising an employee information module 1, wherein the output end of the employee information module 1 is connected to a training plan management module 2, and the training plan management module 2 is responsible for formulating a scientific and reasonable training plan according to the training needs of the enterprise and the current status of the employees' abilities, and the training plan includes the company's annual training plan, the department's annual training plan and the department's monthly training plan.

[0025] See also Figure 1It can be seen that the output end of the statistical report management module 4 is connected to the system management module 5, and the system management module 5 is used to manage the entire system, including basic code maintenance and personnel authority setting, so as to ensure the security and stable operation of the system. The system management module 5 includes a user management module 501, a permission management module 502, a data dictionary management module 503, a system parameter setting module 504 and a log management module 505. The user management module 501 is responsible for the registration, permission allocation and role management of system users. The permission management module 502 is used to define the permission items in the system, and allocate corresponding operation permissions to users or user groups to ensure the security and confidentiality of system data. The data dictionary management module 503 is used to maintain the enumeration type data used in the system to ensure the consistency and accuracy of the data. The system parameter setting module 504 is used to uniformly manage and maintain the configurable parameters used by the system. The log management module 505 is used to record the system operation log for problem troubleshooting and auditing.

[0026] See also Figure 1 and Figure 2 It can be seen that the employee information module 1 includes an employee file management module 101, an organizational structure management module 102 and an information update and maintenance module 103. The employee file management module 101 is responsible for collecting and storing employee information, and the information includes name, gender, employee number, position, title, type of work, skill appraisal and educational background to ensure the accuracy and timeliness of the data. The organizational structure management module 102 is used to dynamically adjust the department affiliation and job responsibilities of employees according to the actual structure of the enterprise to meet the organizational management needs of the enterprise in different scenarios. The information update and maintenance module 103 is used to provide dynamic update and maintenance functions of employee information to ensure the timeliness and accuracy of employee information.

[0027] See also Figure 2 It can be seen that the information update and maintenance module 103 includes a No. 3 data collection module 103a, a No. 2 data processing module 103b, an information update module 103c and a maintenance management module 103d. The No. 3 data collection module 103a is responsible for collecting the latest information from various data sources, the No. 2 data processing module 103b is used to clean and organize the collected information to ensure the accuracy and consistency of the information, the information update module 103c is used to automatically or manually update the information in the system according to the processed data to ensure the timeliness of the information, and the maintenance management module 103d is responsible for monitoring the operating status of the system, timely discovering and solving potential problems, and ensuring the stable operation of the system.

[0028] See also Figure 1It can be seen that the output end of the training plan management module 2 is connected to a training record management module 3 for recording the entire training process of each department. The training record management module 3 includes a training information management module 301, a training progress tracking module 302, a training effect evaluation module 303 and a training record archiving module 304. The training information management module 301 is used to record the information of each training, such as the training name, time, location and participants. The training progress tracking module 302 is used to track the training progress of employees in real time to ensure the smooth implementation of the training plan. The training effect evaluation module 303 is used to evaluate the training effect, and the evaluation indicators include employee feedback and test scores for subsequent improvements. The training record archiving module 304 is used to archive and save the training records to ensure the integrity of the training materials and facilitate future review and analysis.

[0029] See also Figure 1 It can be seen that the output end of the statistical report management module 4 is connected to the data analysis and processing module 6. The data analysis and processing module 6 integrates big data processing and analysis technology to deeply mine and analyze the training data to discover potential problems and rules, and includes person-job matching data monitoring and analysis, lean management of the trainer team, employee test data analysis and precise management of training objects. The data analysis and processing module 6 includes a second data collection module 601, a data analysis module 602, a data preprocessing module 603, a data visualization module 604 and a report generation module 605. The second data collection module 601 is responsible for Various data sources collect data to ensure the integrity and accuracy of the data. The data analysis module 602 is used to clean, convert, group and organize the collected raw data to improve data quality. The data preprocessing module 603 uses statistics, machine learning, and data mining techniques to conduct in-depth analysis of the data and extract valuable information. The data visualization module 604 is used to display the analysis results in the form of charts and graphs to facilitate intuitive understanding of the data and provide scientific decision-making basis and optimized training suggestions for enterprise managers and trainers. The report generation module 605 organizes the analysis results into reports for decision-making and sharing.

[0030] See also Figure 1It can be seen that the output end of the training record management module 3 is connected to the statistical report management module 4, and the statistical report management module 4 is used to automatically generate various human resource statistical reports, such as "Overall Human Resource Situation Statistics", "Department Annual Training Hours Statistics", "Human Resource Peer Benchmarking Index Monthly and Quarterly Reports", so as to improve the speed and accuracy of data statistics summary. The statistical report management module 4 includes a data collection module 401, a data processing module 402, a statistical analysis module 403, a report design and generation module 404 and a report publishing and management module 405. The data collection module 401 is responsible for collecting data that needs to be counted from various data sources, the data processing module 402 is used to clean, organize and classify the collected data to improve data quality, the statistical analysis module 403 uses statistical methods and tools to conduct in-depth analysis of the data and extract valuable information, the report design and generation module 404 is used to design the report format and content according to the needs, and generate the final report, and the report publishing and management module 405 is used to publish the generated report to the specified platform, and archive, archive and version manage.

[0031] Working principle: When using the power training system, the basic information of all formal employees of the enterprise is entered and maintained through the employee information module 1, and the training plan management module 2 formulates a scientific and reasonable training plan based on the training needs of the enterprise and the current status of the employees' capabilities. At the same time, the training record management module 3 records the time, location, content and personnel participation of each training of each department and evaluates it. Then, various human resources statistical reports are automatically generated through the statistical report management module 4 to improve the speed and accuracy of data statistical summary. During this process, the system management module 5 manages the entire system to ensure the safety and stable operation of the system. At the same time, the data analysis and processing module 6 integrates big data processing and analysis technology to deeply mine and analyze the training data and discover potential problems and rules to help enterprises scientifically formulate training strategies and optimize the allocation of training resources. The power training system solves the problems of data confusion, statistical difficulties and inaccurate training effect evaluation in training management of power enterprises. The content not described in detail in this description belongs to the existing technology known to professional and technical personnel in this field.

[0032] Although the present invention has been described in detail with reference to the aforementioned embodiments, it is still possible for those skilled in the art to modify the technical solutions described in the aforementioned embodiments, or to make equivalent substitutions for some of the technical features therein. Any modifications, equivalent substitutions, improvements, etc. made within the spirit and principles of the present invention should be included in the protection scope of the present invention.

Claims

1. A power training system capable of data analysis and organization, comprising an employee information module (1), characterized in that: The output end of the employee information module (1) is connected to a training plan management module (2), and the training plan management module (2) is responsible for formulating a scientific and reasonable training plan according to the training needs of the enterprise and the current status of the employees' abilities. The output end of the training plan management module (2) is connected to a training record management module (3) for recording the entire training process of each department. The output end of the training record management module (3) is connected to a statistical report management module (4), and the statistical report management module (4) is used to automatically generate various human resources statistical reports so as to improve the speed and accuracy of data statistics and summary. The output end of the statistical report management module (4) is respectively connected to a system management module (5) and a data analysis and processing module (6), and the system management module (5) is used to manage the entire system so as to ensure the safe and stable operation of the system.

2. The power training system capable of data analysis and arrangement according to claim 1 is characterized in that: The employee information module (1) comprises an employee file management module (101), an organizational structure management module (102) and an information update and maintenance module (103). The employee file management module (101) is responsible for collecting and storing employee information to ensure the accuracy and timeliness of the data.

3. The power training system capable of data analysis and arrangement according to claim 2 is characterized in that: The organizational structure management module (102) is used to dynamically adjust the department affiliation and job responsibilities of employees according to the actual structure of the enterprise, and the information update and maintenance module (103) is used to provide dynamic update and maintenance functions for employee information to ensure the real-time and accuracy of employee information.

4. The power training system capable of data analysis and arrangement according to claim 3 is characterized in that: The information updating and maintenance module (103) comprises a No. 3 data collecting module (103a), a No. 2 data processing module (103b), an information updating module (103c) and a maintenance management module (103d). The No. 3 data collecting module (103a) is responsible for collecting the latest information from various data sources.

5. The power training system capable of data analysis and arrangement according to claim 4 is characterized in that: The second data processing module (103b) is used to clean and organize the collected information to ensure the accuracy and consistency of the information. The information updating module (103c) is used to automatically or manually update the information in the system according to the processed data to ensure the timeliness of the information. The maintenance management module (103d) is responsible for monitoring the operating status of the system, timely discovering and solving potential problems, and ensuring the stable operation of the system.

6. The power training system capable of data analysis and arrangement according to claim 1 is characterized in that: The training record management module (3) comprises a training information management module (301), a training progress tracking module (302), a training effect evaluation module (303) and a training record archiving module (304). The training information management module (301) is used to record the information of each training; the training progress tracking module (302) is used to track the training progress of employees in real time to ensure the smooth implementation of the training plan; the training effect evaluation module (303) is used to evaluate the training effect; and the training record archiving module (304) is used to archive and save the training records for future reference and analysis.

7. The power training system capable of data analysis and arrangement according to claim 1 is characterized in that: The statistical report management module (4) comprises a data collection module (401), a data processing module (402), a statistical analysis module (403), a report design and generation module (404) and a report publishing and management module (405). The data collection module (401) is responsible for collecting data that needs to be counted from various data sources, and the data processing module (402) is used to clean, organize and classify the collected data to improve data quality.

8. The power training system capable of data analysis and arrangement according to claim 7 is characterized in that: The statistical analysis module (403) uses statistical methods and tools to conduct in-depth analysis of data and extract valuable information. The report design and generation module (404) is used to design the report format and content according to requirements and generate the final report. The report publishing and management module (405) is used to publish the generated report to a designated platform and perform archiving, filing and version management.

9. The power training system capable of data analysis and arrangement according to claim 1, characterized in that: The system management module (5) comprises a user management module (501), a permission management module (502), a data dictionary management module (503), a system parameter setting module (504) and a log management module (505). The user management module (501) is responsible for the registration, permission allocation and role management of system users. The permission management module (502) is used to define permission items in the system and allocate corresponding operation permissions to users or user groups. The data dictionary management module (503) is used to maintain enumeration type data used in the system to ensure the consistency and accuracy of the data. The system parameter setting module (504) is used to uniformly manage and maintain configurable parameters used by the system. The log management module (505) is used to record system operation logs.

10. The power training system capable of data analysis and arrangement according to claim 1, characterized in that: The data analysis and processing module (6) includes a second data collection module (601), a data analysis module (602), a data preprocessing module (603), a data visualization module (604) and a report generation module (605). The second data collection module (601) is responsible for collecting data from various data sources. The data analysis module (602) is used to clean, convert, group and organize the collected raw data. The data preprocessing module (603) uses statistics, machine learning and data mining techniques to conduct in-depth analysis of the data. The data visualization module (604) is used to display the analysis results in the form of charts and graphs. The report generation module (605) organizes the analysis results into a report.

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