Training teaching management analysis system and method based on big data
Through a training and teaching management analysis system based on big data, the training plan is automatically planned and managed, and the training results are evaluated through intelligent evaluation technology, the efficiency and accuracy problems of manual management and evaluation in the existing system are solved, and more efficient and universal training management and evaluation are achieved.
Patent Information
- Application Number
- CN202510112772.2
- Authority / Receiving Office
- CN · China
- Patent Type
- Applications(China)
- Current Assignee / Owner
- Filing Date
- 2025-01-24
- Publication Date
- 2025-03-07
- Estimated Expiration
- Not applicable · inactive patent
AI Technical Summary
The existing teaching management analysis system has problems such as manual transcription waste of human resources and lack of unified evaluation standards in terms of training plan management and training outcome assessment, which leads to inequality.
A training teaching management and analysis system based on big data is proposed, including data acquisition module, training planning module, training plan management module, training evaluation module, physical fitness assessment module and comprehensive assessment module. Through big data analysis and intelligent evaluation technology, training plans are automatically planned and managed, training results are evaluated and comprehensive training levels are given.
Automatic planning and management of training plans is realized, the efficiency and accuracy of training results evaluation is improved, human resource waste is reduced, and unified evaluation standards are provided, which improves the universality of evaluation.
Smart Images

Figure CN119579007A_ABST
Abstract
Description
Technical Field
[0001] The present invention relates to the field of big data technology, and in particular to a training teaching management analysis system and method based on big data. Background Art
[0002] The teaching management and analysis system is a system designed to help schools, educational institutions or educational administrators better manage and analyze teaching activities; the system usually combines the concepts of information technology and educational management, and aims to provide multi-faceted support and functions so that educators can more effectively organize, supervise and improve the teaching process; using big data technology and analysis methods, combined with the needs of the education field, to provide educational institutions and administrators with more in-depth and comprehensive teaching.
[0003] However, at present, when managing the training plans of trainees and evaluating the training results, most of them are manually transcribed and evaluated, which wastes human resources. At the same time, when evaluating the training results of trainees, there is no unified evaluation standard, so it is not universal; To this end, the present invention proposes a training teaching management analysis system and method based on big data. Summary of the invention
[0004] The purpose of the present invention is to propose a training teaching management analysis system and method based on big data to solve the problems raised in the above background technology.
[0005] In order to achieve the above object, the present invention adopts the following technical solutions: First, the training and teaching management and analysis system based on big data includes data collection module, training planning module, training plan management module, training evaluation module, physical fitness assessment module, comprehensive assessment module and display terminal; The data collection module is used to collect the training excellence ratio of each training item in the current year's real-time training plan and historical training plan of the training unit and send it to the training planning module; The training planning module is used to plan the training plan based on the historical training data, obtain the final training plan and send it to the training plan management module; The training plan management module is used to manage the training plans of all trainees, obtain the daily completion status of the corresponding training plans of the trainees and send it to the training evaluation module; The training assessment module is used to evaluate the training status of the trainees, obtain the training assessment score of the trainees and send it to the comprehensive assessment module; the physical fitness assessment module is used to evaluate the physical fitness of the trainees, obtain the physical fitness score of the trainees and send it to the comprehensive assessment module; The comprehensive assessment module is used to comprehensively evaluate the training results of the trainees, obtain the comprehensive training level of the trainees and send it to the display terminal; the display terminal is used to receive the comprehensive training level of the trainees in the unit and display the comprehensive training level of the corresponding trainees.
[0006] Furthermore, the planning process of the training planning module is as follows: Obtain the training excellence ratio of each training item in the historical training plan of the training unit; The one with the highest training excellence ratio in each year is selected as the supplementary training plan; Obtain the real-time training plan of the training unit corresponding to the current year, and match the supplementary training plan with the real-time training plan; If the supplementary training plan matches the real-time training plan successfully, the corresponding supplementary training plan will be deleted; if the supplementary training plan fails to match the real-time training plan, the supplementary training plan will be added to the real-time training plan as a new real-time training plan; After completing the matching of all supplementary training plans, the real-time training plan will be used as the final training plan.
[0007] Furthermore, the management process of the training plan management module is as follows: Training plan management is divided into monthly plan management, weekly plan management and special training management; Monthly plan management includes: planning and managing weekly training content. Based on the training items and content in the training plan, the training duration, training personnel, organization form and training location of multiple training weeks are customized. After the monthly training plan is completed, weekly plan management is carried out; Weekly plan management includes: planning and management of daily training content, and configuring a training schedule that can be implemented throughout the year based on the training types, training items and training content required by the training plan.
[0008] Furthermore, the work content of the training plan management module also includes: Specialized training programs are separately established training programs; The trainees can check and execute the corresponding training plans through the trainee terminal, and the trainee terminal will record the completion status of the trainees; the instructor terminal can check the completion status of the corresponding training plans of all trainees, make adjustments to the subsequent training plans, and feedback the adjusted training plans to the trainees; The training plan management module will also count the daily completion status of the corresponding training plans of the trainees.
[0009] Furthermore, the working process of the training evaluation module is as follows: Obtain the daily completion status of the corresponding training plan of the trainees to be trained, and obtain the daily training plan completion rate of the trainees to be trained; If the daily training plan completion rate of the trainee is less than the completion rate threshold, the corresponding days of the trainee will be recorded as unqualified days; if the daily training plan completion rate of the trainee is greater than or equal to the completion rate threshold, no operation will be performed; When the number of days that a trainee failed in the previous month is greater than or equal to the day threshold, the comprehensive training level of the corresponding trainee will be recorded as level one; When the number of days the trainee failed in the previous month is less than the threshold, proceed to the next step.
[0010] Furthermore, the evaluation process of the training evaluation module also includes: The trainees conduct training exercises in the smart training field, and the trainees record and upload the training exercise videos of the trainees; The instructor uses intelligent radio frequency technology and human posture assessment technology to identify the actual training posture of the trainee, compare it with the standard posture, and then score it; The instructor terminal is divided into a first instructor terminal, a second instructor terminal and a third instructor terminal, which correspond to the first training score value YXFi, the second training score value EXFSi and the third training score value SXSi of the trainee respectively; wherein the reliability of the third instructor terminal is higher than that of the second instructor terminal; and the reliability of the second instructor terminal is higher than that of the first instructor terminal; wherein i is the number of the trainee, i=1, 2, ..., z, and z is a positive integer; Calculate the training assessment score value XKFi of the trainee. The formula is as follows: XKFi=A1×YXFi+A2×EXFSi+A3×SXSi; wherein A1, A2 and A3 are proportional coefficients with fixed values, A1+A2+A3=1 and 0<A1<A2<A3.
[0011] Furthermore, the working process of the physical fitness assessment module is as follows: The physical fitness assessment module specifically includes height and weight detection equipment, vital capacity measurement equipment, running assessment timing equipment and timing sensors; Obtain the number of the trainee, and give the trainee a smart bracelet according to the number of the trainee; The trainees will undergo physical fitness assessment in the order of their numbers, and their height and weight will be measured by height and weight detection equipment; The body mass index STZi of the trainee is obtained by dividing the trainee's weight by the square of his height; the larger the body mass index; The trainees measure their vital capacity using the vital capacity measuring device, and obtain the corresponding vital capacity score value FHFi according to the size of the vital capacity; Trainees wear smart measuring devices to take running assessments, record their starting time, and record their running distance and speed in real time. When they reach the finish line, the end time is recorded; The running time of the corresponding trainee is obtained by subtracting the starting time from the ending time.
[0012] Furthermore, the working process of the physical fitness assessment module also includes: The running time is compared with the running time threshold. If the running time is less than or equal to the first running time threshold, the running score value PFSi of the corresponding trainee is recorded as X1; If the running time is greater than the first running time threshold and less than the second running time threshold, the running score value PFSi of the corresponding trainee is recorded as X2; If the running time is greater than the second running time threshold, the running score value PFSi of the corresponding trainee is recorded as X3; wherein the first running time threshold is less than the second running time threshold, X1>X2>X3, X1 and X3 are fixed values, and X2 decreases as the running time increases; The running speed of the trainee at any time is obtained, and the average running speed of the trainee is calculated; then the running stability score value PWFi of the trainee is calculated by the formula, and the specific formula is as follows: ; Where j is the number of different moments, j=1, 2, ..., y, y is a positive integer; The physical fitness score TFZi of the trainee is calculated by the formula, which is as follows: TFZi=(A1×FHFi+A2×PFSi+A3×PWFi) / (|STZi-BZT|+1); where BZT is the standard body mass index.
[0013] Furthermore, the working process of the comprehensive evaluation module is as follows: Obtain the training assessment score and physical fitness score of the trainees; The training assessment score value and the physical fitness score value are respectively compared with the corresponding score thresholds; If the training assessment score value is less than the training assessment score threshold and the physical fitness score value is less than the physical fitness score threshold, the comprehensive training level of the corresponding trainee will be recorded as level one; If the training assessment score value is less than the training assessment score threshold but the physical fitness score value is greater than or equal to the physical fitness score threshold, or the training assessment score value is greater than or equal to the training assessment score threshold but the physical fitness score value is less than the physical fitness score threshold, the comprehensive training level of the corresponding trainee shall be recorded as Level 2; If the training assessment score value is greater than or equal to the training assessment score threshold and the physical fitness score value is greater than or equal to the physical fitness score threshold, the comprehensive training level of the corresponding trainee is recorded as level three; Among them, the training results of trainees with a comprehensive training level of three are higher than those of trainees with a comprehensive training level of two, and the training results of trainees with a comprehensive training level of two are higher than those of trainees with a comprehensive training level of one.
[0014] The second aspect is the training and teaching management analysis method based on big data, which includes: Step S101, collecting the training excellence ratio of each training item in the current year's real-time training plan and historical training plan of the training unit; Step S102, planning is performed based on the training excellence ratio of each training item in the real-time training plan and the historical training plan, obtaining the final training plan for the trainee and managing it; Step S103, analyzing the training situation of the trainee and evaluating the performance to obtain the training assessment score of the trainee; Step S104, assessing and analyzing the physical fitness of the trainee to obtain the physical fitness score of the trainee; Step S105, comprehensively evaluate the training results of the trainees, obtain the training level of the trainees and display it.
[0015] In summary, due to the adoption of the above technical solution, the beneficial effects of the present invention are: 1. The present invention first collects the real-time training plan of the training unit in the current year and the training excellence ratio of each training in the historical training plan through the data collection module and sends them to the training planning module, and then uses the training planning module to plan the training plan according to the historical training data, obtains the final training plan and sends it to the training plan management module, and then manages the training plans of all trainees through the training plan management module, obtains the daily completion status of the corresponding training plans of the trainees and sends it to the training evaluation module; the present invention realizes the planning and management of the training plans for the trainees.
[0016] 2. The present invention utilizes a training assessment module to evaluate the training status of trainees, obtains the training assessment score of the trainees and sends it to a comprehensive assessment module. At the same time, a physical fitness assessment module is utilized to evaluate the corresponding physical fitness of the trainees, obtains the physical fitness score of the trainees and sends it to a comprehensive assessment module. Finally, a comprehensive assessment module is used to comprehensively evaluate the training results of the trainees, obtain the comprehensive training level of the trainees and send it. The present invention realizes an effective evaluation of the training results of the trainees. BRIEF DESCRIPTION OF THE DRAWINGS
[0017] In order to facilitate understanding by those skilled in the art, the present invention is further described below with reference to the accompanying drawings.
[0018] Figure 1 is a system architecture diagram of the present invention; Figure 2 is the overall system block diagram of the present invention; Figure 3 It is a functional schematic diagram of the training plan management module of the present invention; Figure 4 The figure is a flow chart of the method of the present invention. DETAILED DESCRIPTION
[0019] The technical solution of the present invention will be clearly and completely described below in conjunction with the embodiments. Obviously, the described embodiments are only part of the embodiments of the present invention, rather than 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.
[0020] Example 1, please refer to Figure 1-Figure 3 As shown, the technical solution provided by the present invention is: a training teaching management and analysis system based on big data, wherein the system is connected with a trainee end and a teacher end; the system includes a data acquisition module, a training planning module, a training plan management module, a training evaluation module, a physical fitness assessment module, a comprehensive evaluation module and a display terminal; The data collection module is used to collect the training excellence ratio of each training item in the current year's real-time training plan and the historical training plan of the training unit and send it to the training planning module; wherein the training excellence ratio is the ratio of the number of people who get full marks in each training item to the total number of people; Specifically, the historical training plan is a training program for the training unit within five years. The training programs may include physical training, tactical training, and shooting training, etc.
[0021] In this embodiment, the training planning module is used to plan the training plan based on the historical training data. The planning process is as follows: Obtain the training excellence ratio of each training item in the historical training plan of the training unit; The one with the highest training excellence ratio in each year is selected as the supplementary training plan; Obtain the real-time training plan of the training unit corresponding to the current year, and match the supplementary training plan with the real-time training plan; If the supplementary training plan matches the real-time training plan successfully, the corresponding supplementary training plan will be deleted; if the supplementary training plan fails to match the real-time training plan, the supplementary training plan will be added to the real-time training plan as a new real-time training plan; After completing the matching of all supplementary training plans, the real-time training plan will be sent to the training plan management module as the final training plan.
[0022] In this embodiment, the training plan management module is used to manage the training plans of all trainees, and the management process is as follows: Training plan management is divided into monthly plan management, weekly plan management and special training management; Monthly plan management includes: planning and managing weekly training content. Based on the training items and content in the training plan, the training duration, training personnel, organization form, training location and other information of multiple training weeks are customized. After the monthly training plan is drawn up, weekly plan management is carried out. Weekly plan management includes: planning and managing daily training content, configuring a training schedule that can be implemented throughout the year based on the training type, training items and training content required by the training plan; Special training plans are separately established training plans, including plans for organizing and implementing exercises, training camps, assessments, and other special training activities; Trainees can view and execute the corresponding training plans through the trainee terminal, and the trainee terminal records the completion status of the trainees; the instructor terminal is held by the instructor, who can view the completion status of the corresponding training plans of all trainees through the instructor terminal, make adjustments to the subsequent training plans, and feedback the adjusted training plans to the trainees; Specifically, the adjustments include functions such as adding, deleting, modifying, importing and exporting, copying and batch deleting training plans.
[0023] Specifically, the training plan management module sends the daily completion status of the training plan of the trainee to the training evaluation module; the training evaluation module is used to evaluate the training status of the trainee, and the evaluation process is as follows: The training evaluation module only evaluates the training results of the previous month at the beginning of the next month; Obtain the daily completion status of the training plan corresponding to the trainee to be trained, and obtain the daily training plan completion rate of the trainee to be trained; specifically, the daily completion status is the total number of training items in the training plan on the corresponding date and the number of training items that the trainee has completed; the daily training plan completion rate is obtained by dividing the number of completed training items by the total number of training items; If the daily training plan completion rate of the trainee is less than the completion rate threshold, the corresponding days of the trainee will be recorded as unqualified days; if the daily training plan completion rate of the trainee is greater than or equal to the completion rate threshold, no operation will be performed; When the number of days that a trainee failed in the previous month is greater than or equal to the day threshold, the comprehensive training level of the corresponding trainee will be recorded as level one; When the number of days the trainee failed in the previous month is less than the threshold, proceed to the next step; The trainees conduct training exercises in the smart training field, and the trainees record and upload the training exercise videos of the trainees; The instructor uses intelligent radio frequency technology and human posture assessment technology to identify the actual training posture of the trainee, compare it with the standard posture, and then score it. The higher the similarity between the actual training posture and the standard posture, the higher the corresponding training exercise score will be. The instructor terminal is divided into a first instructor terminal, a second instructor terminal and a third instructor terminal, which correspond to the first training score value YXFi, the second training score value EXFSi and the third training score value SXSi of the trainee respectively; the reliability of the third instructor terminal is higher than that of the second instructor terminal; the reliability of the second instructor terminal is higher than that of the first instructor terminal; i is the number of the trainee, i=1, 2, ..., z, z is a positive integer; Calculate the training assessment score value XKFi of the trainee. The formula is as follows: XKFi=A1×YXFi+A2×EXFSi+A3×SXSi; where A1, A2 and A3 are fixed proportional coefficients, A1+A2+A3=1 and 0<A1<A2<A3; The training evaluation module sends the training assessment score value of the trainee to the comprehensive evaluation module.
[0024] In this embodiment, the physical fitness assessment module is used to assess the physical fitness of the trainees. The assessment process is as follows: The physical fitness assessment module specifically includes height and weight detection equipment, vital capacity measurement equipment, running assessment timing equipment and timing sensors; Obtain the number of the trainee, and give the trainee a smart bracelet according to the number of the trainee; The trainees will undergo physical fitness assessment in the order of their numbers, and their height and weight will be measured by height and weight detection equipment; The body mass index STZi of the trainee is obtained by dividing the trainee's weight by the square of his height; the larger the body mass index, the fatter the trainee is, and the smaller the body mass index, the thinner the trainee is. The trainees measure their corresponding vital capacity using the vital capacity measuring device, and obtain the corresponding vital capacity score value FHFi according to the size of the vital capacity; the larger the vital capacity, the larger the vital capacity score value; Trainees wear smart measuring devices to take running assessments, record their starting time, and record their running distance and speed in real time. When they reach the finish line, the end time is recorded; In practice, trainees wear smart shoe cards and start a 3,000-meter test on a 3,000-meter track, and use the running test timing equipment to record the start time. The running test track is equipped with an underground timing sensing area, which can be used to record the trainees' running distance and running speed in real time, as well as the time when the trainees reach the finish line. The running time of the corresponding trainee is obtained by subtracting the starting time from the ending time; the running time is compared with the running time threshold; if the running time is less than or equal to the first running time threshold, the running score value PFSi of the corresponding trainee is recorded as X1; if the running time is greater than the first running time threshold and less than the second running time threshold, the running score value PFSi of the corresponding trainee is recorded as X2; if the running time is greater than the second running time threshold; the running score value PFSi of the corresponding trainee is recorded as X3; The first running time threshold is less than the second running time threshold, X1>X2>X3, X1 and X3 are fixed values, and X2 decreases as the running time increases; The running speed of the trainee at any time is obtained, and the average running speed of the trainee is calculated; then the running stability score value PWFi of the trainee is calculated by the formula, and the specific formula is as follows: ; Where j is the number of different moments, j=1, 2, ..., y, y is a positive integer; The physical fitness score TFZi of the trainee is calculated by the formula, which is as follows: TFZi=(A1×FHFi+A2×PFSi+A3×PWFi) / (|STZi-BZT|+1); where BZT is the standard body mass index, which is generally between 18.5-24; The physical fitness assessment module sends the physical fitness score value of the trainee to the comprehensive evaluation module.
[0025] In this embodiment, the comprehensive evaluation module is used to comprehensively evaluate the training results of the trainees. The evaluation process is as follows: Obtain the training assessment score and physical fitness score of the trainees; The training assessment score value and the physical fitness score value are respectively compared with the corresponding score thresholds; If the training assessment score value is less than the training assessment score threshold and the physical fitness score value is less than the physical fitness score threshold, the comprehensive training level of the corresponding trainee will be recorded as level one; If the training assessment score value is less than the training assessment score threshold but the physical fitness score value is greater than or equal to the physical fitness score threshold, or the training assessment score value is greater than or equal to the training assessment score threshold but the physical fitness score value is less than the physical fitness score threshold, the comprehensive training level of the corresponding trainee shall be recorded as Level 2; If the training assessment score value is greater than or equal to the training assessment score threshold and the physical fitness score value is greater than or equal to the physical fitness score threshold, the comprehensive training level of the corresponding trainee is recorded as level three; Among them, the training results of trainees with a comprehensive training level of three are higher than those with a comprehensive training level of two, and the training results of trainees with a comprehensive training level of two are higher than those with a comprehensive training level of one; The comprehensive assessment module sends the comprehensive training level of the trainees to the display terminal, and the display terminal is used to receive the comprehensive training level of the trainees in the unit and display the comprehensive training level of the corresponding trainees. The user can learn the comprehensive training level of the trainees by checking the display terminal.
[0026] In this application, if corresponding calculation formulas appear, the above calculation formulas are all dimensionless and take their numerical calculations. The weight coefficients, proportional coefficients and other coefficients in the formulas are set to a result value obtained by quantifying each parameter. The size of the weight coefficient and the proportional coefficient can be determined as long as it does not affect the proportional relationship between the parameter and the result value.
[0027] Example 2, please refer to Figure 4 As shown, based on another concept of the same invention, a training teaching management and analysis method based on big data is now proposed, comprising the following steps: Step S101, collecting the training excellence ratio of each training item in the current year's real-time training plan and historical training plan of the training unit; Step S102, planning is performed based on the training excellence ratio of each training item in the real-time training plan and the historical training plan, obtaining the final training plan for the trainee and managing it; Step S103, analyzing the training situation of the trainee and evaluating the performance to obtain the training assessment score of the trainee; Step S104, assessing and analyzing the physical fitness of the trainee to obtain the physical fitness score of the trainee; Step S105, comprehensively evaluate the training results of the trainees, obtain the training level of the trainees and display it.
[0028] The preferred embodiments of the present invention disclosed above are only used to help explain the present invention. The preferred embodiments do not describe all the details in detail, nor do they limit the invention to only specific implementation methods. Obviously, many modifications and changes can be made according to the content of this specification. This specification selects and specifically describes these embodiments in order to better explain the principles and practical applications of the present invention, so that those skilled in the art can understand and use the present invention well. The present invention is limited only by the claims and their full scope and equivalents.
Claims
1. A training and teaching management and analysis system based on big data, characterized by: It includes data collection module, training planning module, training plan management module, training evaluation module, physical fitness assessment module, comprehensive assessment module and display terminal; The data collection module is used to collect the training excellence ratio of each training item in the current year's real-time training plan and historical training plan of the training unit and send it to the training planning module; The training planning module is used to plan the training plan based on the historical training data, obtain the final training plan and send it to the training plan management module; The training plan management module is used to manage the training plans of all trainees, obtain the daily completion status of the corresponding training plans of the trainees and send it to the training evaluation module; The training assessment module is used to evaluate the training status of the trainees, obtain the training assessment score of the trainees and send it to the comprehensive assessment module; the physical fitness assessment module is used to evaluate the physical fitness of the trainees, obtain the physical fitness score of the trainees and send it to the comprehensive assessment module; The comprehensive assessment module is used to comprehensively evaluate the training results of the trainees, obtain the comprehensive training level of the trainees and send it to the display terminal; the display terminal is used to receive the comprehensive training level of the trainees in the unit and display the comprehensive training level of the corresponding trainees.
2. The training teaching management and analysis system based on big data according to claim 1 is characterized in that: The planning process of the training planning module is as follows: Obtain the training excellence ratio of each training item in the historical training plan of the training unit; The one with the highest training excellence ratio in each year is selected as the supplementary training plan; Obtain the real-time training plan of the training unit corresponding to the current year, and match the supplementary training plan with the real-time training plan; If the supplementary training plan matches the real-time training plan successfully, the corresponding supplementary training plan will be deleted; If the supplementary training plan fails to match the real-time training plan, the supplementary training plan will be added to the real-time training plan as a new real-time training plan; After completing the matching of all supplementary training plans, the real-time training plan will be used as the final training plan.
3. The training teaching management and analysis system based on big data according to claim 1 is characterized in that: The management process of the training plan management module is as follows: Training plan management is divided into monthly plan management, weekly plan management and special training management; Monthly plan management includes: planning and managing weekly training content. Based on the training items and content in the training plan, the training duration, training personnel, organization form and training location of multiple training weeks are customized. After the monthly training plan is completed, weekly plan management is carried out; Weekly plan management includes: planning and management of daily training content, and configuring a training schedule that can be implemented throughout the year based on the training types, training items and training content required by the training plan.
4. The training teaching management and analysis system based on big data according to claim 3 is characterized in that: The work content of the training plan management module also includes: Specialized training programs are separately established training programs; The trainees can check and execute the corresponding training plans through the trainee terminal, and the trainee terminal will record the completion status of the trainees; the instructor terminal can check the completion status of the corresponding training plans of all trainees, make adjustments to the subsequent training plans, and feedback the adjusted training plans to the trainees; The training plan management module will also count the daily completion status of the corresponding training plans of the trainees.
5. The training teaching management and analysis system based on big data according to claim 4 is characterized in that: The working process of the training evaluation module is as follows: Obtain the daily completion status of the corresponding training plan of the trainees to be trained, and obtain the daily training plan completion rate of the trainees to be trained; If the daily training plan completion rate of the trainee is less than the completion rate threshold, the corresponding days of the trainee will be recorded as unqualified days; If the daily training plan completion rate of the trainee is greater than or equal to the completion rate threshold, no operation will be performed; When the number of days that a trainee failed in the previous month is greater than or equal to the threshold number of days, the comprehensive training level of the corresponding trainee will be recorded as level one; When the number of days the trainee failed in the previous month is less than the day threshold, proceed to the next step.
6. The training teaching management and analysis system based on big data according to claim 5 is characterized in that: The evaluation process of the training evaluation module also includes: The trainees conduct training exercises in the smart training field, and the trainees record and upload the training exercise videos of the trainees; The instructor uses intelligent radio frequency technology and human posture assessment technology to identify the actual training posture of the trainee, compare it with the standard posture, and then score it; The instructor terminal is divided into a first instructor terminal, a second instructor terminal and a third instructor terminal, which correspond to the first training score value YXFi, the second training score value EXFSi and the third training score value SXSi of the trainee respectively; wherein the reliability of the third instructor terminal is higher than that of the second instructor terminal; and the reliability of the second instructor terminal is higher than that of the first instructor terminal; wherein i is the number of the trainee, i=1, 2, ..., z, and z is a positive integer; Calculate the training assessment score value XKFi of the trainee. The formula is as follows: XKFi=A1×YXFi+A2×EXFSi+A3×SXSi; wherein A1, A2 and A3 are proportional coefficients with fixed values, A1+A2+A3=1 and 0<A1<A2<A3.
7. The training teaching management and analysis system based on big data according to claim 6 is characterized in that: The working process of the physical fitness assessment module is as follows: The physical fitness assessment module specifically includes height and weight detection equipment, vital capacity measurement equipment, running assessment timing equipment and timing sensors; Obtain the number of the trainee, and give the trainee a smart bracelet according to the number of the trainee; The trainees will undergo physical fitness assessment in the order of their numbers, and their height and weight will be measured by height and weight testing equipment; The body mass index STZi of the trainee is obtained by dividing the trainee's weight by the square of his height; the larger the body mass index; The trainees measure their vital capacity using the vital capacity measuring device, and obtain the corresponding vital capacity score value FHFi according to the size of the vital capacity; Trainees wear smart measuring devices to take running assessments, record their starting time, and record their running distance and speed in real time. When they reach the finish line, the end time is recorded; The running time of the corresponding trainee is obtained by subtracting the starting time from the ending time.
8. The training teaching management and analysis system based on big data according to claim 7 is characterized in that: The working process of the physical fitness assessment module also includes: The running time is compared with the running time threshold. If the running time is less than or equal to the first running time threshold, the running score value PFSi of the corresponding trainee is recorded as X1; If the running time is greater than the first running time threshold and less than the second running time threshold, the running score value PFSi of the corresponding trainee is recorded as X2; If the running time is greater than the second running time threshold, the running score value PFSi of the corresponding trainee is recorded as X3; wherein the first running time threshold is less than the second running time threshold, X1>X2>X3, X1 and X3 are fixed values, and X2 decreases as the running time increases; The running speed of the trainee at any time is obtained, and the average running speed of the trainee is calculated; then the running stability score value PWFi of the trainee is calculated by the formula, and the specific formula is as follows: ; Where j is the number of different moments, j=1, 2, ..., y, y is a positive integer; The physical fitness score TFZi of the trainee is calculated by the formula, which is as follows: TFZi=(A1×FHFi+A2×PFSi+A3×PWFi) / (|STZi-BZT|+1); where BZT is the standard body mass index.
9. The training teaching management and analysis system based on big data according to claim 8 is characterized in that: The working process of the comprehensive assessment module is as follows: Obtain the training assessment score and physical fitness score of the trainees; The training assessment score value and the physical fitness score value are respectively compared with the corresponding score thresholds; If the training assessment score value is less than the training assessment score threshold and the physical fitness score value is less than the physical fitness score threshold, the comprehensive training level of the corresponding trainee will be recorded as level one; If the training assessment score value is less than the training assessment score threshold but the physical fitness score value is greater than or equal to the physical fitness score threshold, or the training assessment score value is greater than or equal to the training assessment score threshold but the physical fitness score value is less than the physical fitness score threshold, the comprehensive training level of the corresponding trainee shall be recorded as Level 2; If the training assessment score value is greater than or equal to the training assessment score threshold and the physical fitness score value is greater than or equal to the physical fitness score threshold, the comprehensive training level of the corresponding trainee is recorded as level three; Among them, the training results of trainees with a comprehensive training level of three are higher than those of trainees with a comprehensive training level of two, and the training results of trainees with a comprehensive training level of two are higher than those of trainees with a comprehensive training level of one.
10. A training and teaching management analysis method based on big data, characterized in that: In combination with the training teaching management and analysis system based on big data according to any one of claims 1 to 9, the method comprises: Step S101, collecting the training excellence ratio of each training item in the current year's real-time training plan and historical training plan of the training unit; Step S102, planning is performed based on the training excellence ratio of each training item in the real-time training plan and the historical training plan, obtaining the final training plan for the trainee and managing it; Step S103, analyzing the training situation of the trainee and evaluating the performance to obtain the training assessment score of the trainee; Step S104, assessing and analyzing the physical fitness of the trainee to obtain the physical fitness score of the trainee; Step S105, comprehensively evaluate the training results of the trainees, obtain the training level of the trainees and display it.
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