VR-technology-based sports training system and method

Abstract

Disclosed in the present invention is a VR-technology-based sports training system. The system comprises a master control system server, a 5G network module, a database unit based on a sports training scheme, a user sports training archive creation unit, a user training assessment module, a VR-technology-based sports training unit, a periodic assessment report sending module, a personalized selection memory module and a training scenario simulation unit. In the present invention, a display module, etc. are provided, such that when a training scenario simulation unit runs, by means of a training ground simulation module, the display module is precisely controlled to present a corresponding training ground image or video; by means of a crowd noise simulation module, a sound module is precisely controlled to simulate the cheering sound of the audience, the provocation sound of an opponent and the announcing sound of a referee in the atmosphere of a game; and by means of a light and shadow simulation module, the light emission range, color and intensity of an LED lamp module are precisely controlled to simulate different sunlight training adjustments, so as to flexibly create a training environment.

Description

A sports training system and method based on VR technology Technical Field

[0001] The present invention relates to the field of sports training technology, and in particular to a sports training system and method based on VR technology. Background Art

[0002] Whether athletes are conducting daily sports training or training activities for competitions, or athletes or ordinary users are conducting sports rehabilitation training activities, they all need to use a sports training system. This is a sports training structure that relies on VR technology and can be carried out indoors. It allows users to conduct sports training at any time without going out.

[0003] Sports training systems can often only provide users with a virtual image for training. It is not easy to intelligently generate different sports training plans for selection based on the user's different training needs and purposes, which leads to poor flexibility of the system. In addition, it is not easy to realize crowd noise simulation, light and shadow simulation, natural wind simulation, and collect user body data, which leads to poor functionality of the system. Based on this, we propose a new sports training system based on VR technology. Summary of the Invention

[0004] The purpose of the present invention is to provide a sports training system based on VR technology to solve the problems raised in the above background technology.

[0005] To achieve the above-mentioned purpose, the present invention provides the following technical solutions: a sports training system based on VR technology, comprising a main control system server, a 5G network module, a database unit based on a sports training program, a user sports training file construction unit, a user training evaluation module, a sports training unit based on VR technology, an evaluation report regular sending module, a personalized selection memory module and a training scene simulation unit, wherein the 5G network module, the database unit based on a sports training program, the user sports training file construction unit, the user training evaluation module, the sports training unit based on VR technology, the evaluation report regular sending module, the personalized selection memory module and the training scene simulation unit are bidirectionally electrically connected to the main control system server in sequence through wires, and the database unit based on the sports training program comprises a big data cloud storage module, The data receiving and conversion module, the data changing module and the data calculating and processing module; the user sports training file construction unit includes a login module based on face recognition, a human body data measurement module, a sports training demand acquisition module, an AI-based sports training program matching generation module, a user selection module, a body fat meter, a weight meter and a heart rate meter; the sports training unit based on VR technology includes VR-based training equipment, an operating handle, a VR host, a posture acquisition sensor, a pressure sensor, an image and sound acquisition module, a sound receiving device and a camera; the training scene simulation unit includes a scene generation and debugging module based on the sports training program, a training field simulation module, a crowd noise simulation module, a light and shadow simulation module, a natural wind simulation module, a fan module, a display module, an audio module and an LED light module.

[0006] Preferably, the main control system server comprehensively and systematically controls the work of the 5G network module, the database unit based on the sports training program, the user sports training file construction unit, the user training evaluation module, the sports training unit based on VR technology, the evaluation report regular sending module, the personalized selection memory module and the training scene simulation unit through internally running data processing, machine learning and network communication programs, which enables the entire system to achieve the advantages of modular control.

[0007] Preferably, when the database unit based on the sports training plan is running, the big data cloud storage module contained therein not only collects and saves the sports training data based on the 5G network module, but also receives the training plans written by the staff and the actual sports training data of the user through the data receiving and conversion module. This enables the system to build a cloud storage big database for sports training through multiple data collection methods, which is convenient for giving users more sports training plan options and different competition environment simulation options, and has strong applicability. Subsequently, the data update module and the data calculation and processing module can be used to intelligently sort and integrate the sports training data based on the sorting algorithm, which is convenient for users to retrieve targeted data and filter and delete duplicate and outdated data. This is conducive to streamlining the database unit based on the sports training plan and improving the smoothness of the operation of the database unit based on the sports training plan.

[0008] Preferably, when the user sports training file construction unit is running, the face recognition-based login module contained therein will provide the user with a face login function, ensuring that the system can only be logged in by authorized users, avoiding the saved sports training data from being tampered with, and improving the security and privacy of the data. Before and after each training, the user needs to turn on the human body data measurement module, and measure the user's body fat, weight and heart rate through the body fat meter, weight meter and heart rate meter electrically connected to it and save the data. This is conducive to intelligently analyzing and judging the user's health status and training status through the measurement and comparison of human body data before and after each sports training and the horizontal comparison of multiple sports trainings, which is convenient for providing data support for the main control system server to adjust the user's training intensity and plan, and is conducive to the main control system server to retrieve appropriate training plans for users from the database unit based on sports training plans, and intelligently adjust the training intensity, time and method that is more suitable for users.

[0009] Preferably, when the user sports training file construction unit is running, the sports training demand acquisition module contained therein will collect the user's sports training needs, such as different training needs such as tennis, volleyball, or special rehabilitation training needs, psychological adjustment training needs, and then use the AI-based sports training program matching generation module to retrieve the appropriate sports training method from the database unit based on the sports training program according to the user's training needs and provide it to the user, and then collect the user's required methods through the user selection module.

[0010] Preferably, when the sports training unit based on VR technology is running, the VR-based training equipment contained therein will control the operating handle and the VR host to present the corresponding training state according to the user needs sent by the user selection module to the sports training method. Specifically, VR technology helps athletes simulate various game scenes during training by providing a highly realistic virtual environment, thereby improving training effects and competitive levels. VR technology can enable athletes to train in a highly realistic virtual environment, and can also help athletes adapt to game pressure, improve psychological quality and coping ability by simulating stressful scenes in the game, such as audience noise, opponent provocation, etc., and can simulate different training scenes for users, such as stadiums, athletic fields, etc.

[0011] Preferably, when the sports training unit based on VR technology is running, the training posture acquisition sensors, pressure sensors, sound receiving devices and cameras contained therein will be started and cooperate with the image and sound acquisition modules to integrate and process the collected data, so as to realize real-time and efficient collection of the user's training posture data, force status data, image and sound data of the entire sports training activity based on VR technology. These data will be subsequently uploaded to the user's sports training file construction unit for archiving and storage, so that the user can check his or her own training status at any time.

[0012] Preferably, when the training scene simulation unit is running, the scene generation and debugging module based on the sports training plan contained therein will, based on the training scene required by the user transmitted by the user selection module, under the analysis and processing of the computer graphics algorithm, use the training field simulation module to accurately control the display module to present the corresponding training field image video, use the crowd noise simulation module to accurately control the sound module to simulate the cheers of the audience, the provocative sounds of the opponents and the judgment sounds of the referee in the game atmosphere, and use the light and shadow simulation module to accurately control the luminous range, color and intensity of the LED light module to simulate different daylight training adjustments, and use the natural wind simulation module to accurately control the fan module to provide different wind directions and wind intensities, and then through the training environment matched to the VR virtual training field, a more realistic and accurate training environment can be created for the user, ensuring that it is infinitely close to the real sports training, making the entire sports training data more reliable and of higher reference value.

[0013] A sports training method based on VR technology, step 1, the main control system server controls the entire system to operate on the Internet through the 5G network module; step 2, when the database unit based on the sports training plan is running, the big data cloud storage module contained therein not only collects and stores sports training data based on the 5G network module, but also receives the training plans written by the staff and the user's actual sports training data through the data receiving and conversion module. This enables the system to build a cloud storage big database for sports training through multiple data collection methods, which is convenient for giving users more sports training plan options and different competition environment simulation options, and has strong applicability. Subsequently, the data update module and the data calculation and processing module can be used to intelligently sort and integrate the sports training data based on the sorting algorithm, which is convenient for users to retrieve targeted data and filter and delete duplicate and outdated data. This is conducive to streamlining the database unit based on the sports training plan and improving the smoothness of the operation of the database unit based on the sports training plan; step 3, when the user sports training file construction unit is running, the login module based on face recognition contained therein will provide the user with a face login function, ensuring that the system can only be logged in by authorized users, and preventing the saved sports training data from being tampered with. , improves data security and privacy. Before and after each training, the user needs to turn on the human body data measurement module, and measure the user's body fat, weight and heart rate through the body fat meter, weight meter and heart rate meter electrically connected to it and save the data. This is conducive to intelligently analyzing and judging the user's health status and training status through the measurement and comparison of human body data before and after each physical training and the horizontal comparison of multiple physical trainings, so as to provide data support for the main control system server to adjust the user's training intensity and plan. It is conducive to the main control system server to retrieve the appropriate training plan for the user from the database unit based on the sports training plan, and intelligently adjust the training intensity, time and method that are more suitable for the user. At the same time, when the user sports training file construction unit is running, the sports training demand acquisition module contained therein will collect the user's sports training needs, such as different training needs such as tennis, volleyball, or special rehabilitation training needs, psychological adjustment training needs, and then retrieve the appropriate sports training method from the database unit based on the sports training plan according to the user's training needs through the AI-based sports training plan matching generation module and provide it to the user, and then collect the user's demand method through the user selection module;Step 4: When the sports training unit based on VR technology is running, the VR-based training equipment contained therein will control the operating handle and VR host to present the corresponding training status according to the user needs sent by the user selection module to the sports training method. Specifically, VR technology helps athletes simulate various competition scenes during training by providing a highly realistic virtual environment, thereby improving training effects and competitive levels. VR technology can enable athletes to train in a highly realistic virtual environment. It can also help athletes adapt to competition pressure, improve psychological quality and coping ability by simulating stressful scenes in the competition, such as audience noise, opponent provocation, etc., and can simulate different training scenes for users, such as stadiums and track and field stadiums. At the same time, when the sports training unit based on VR technology is running, the training posture acquisition sensors, pressure sensors, sound receiving devices and cameras contained therein will be started and cooperate with the image and sound acquisition modules to integrate and process the collected data, so as to realize real-time and efficient collection of the user's training posture data, force state data, image and sound data activities during the entire VR technology-based sports training activity. These data will be uploaded to the user's sports training file construction unit for archiving and storage, so that the user can check his or her own training status at any time. Step 5: Training scene When the simulation unit is running, the scene generation and debugging module based on the sports training plan contained in it will, based on the user's required training scene transmitted by the user selection module, under the analysis and processing of the computer graphics algorithm, use the training field simulation module to accurately control the display module to present the corresponding training field image video, use the crowd noise simulation module to accurately control the sound module to simulate the audience's cheers, the opponent's provocative sounds and the referee's decisions in the game atmosphere, and use the light and shadow simulation module to accurately control the luminous range, color and intensity of the LED light module to simulate different daylight training adjustments, and use the natural wind simulation module to accurately control the fan module. By providing different wind directions and wind strengths, and then matching the training environment to the VR virtual training venue, a more realistic and accurate training environment can be created for users, ensuring that their training is as close to real-life as possible, making the entire training data more reliable and more valuable for reference. In step six, the user training evaluation module will use AI technology to intelligently analyze and evaluate the user's training results at each stage. The evaluation report sending module will then regularly send the evaluation report to the user's mobile phone, allowing users to timely understand their own training results. In turn, the results will provide users with positive feedback, which will help motivate users to persist in training.

[0014] Compared with the prior art, the present invention has the following beneficial effects:

[0015] 1) By setting up a training scene simulation unit, etc., when the system is running, on the one hand, when the database unit based on the sports training plan is running, the big data cloud storage module contained therein not only collects and saves sports training data based on the 5G network module, but also receives the training plan written by the staff and the user's actual sports training data through the data receiving and conversion module. This enables the system to build a cloud storage big database for sports training through a variety of data collection methods, which is convenient for giving users more sports training plan options and different competition environment simulation options, and has strong applicability. Subsequently, the data update module and the data calculation and processing module can be used to intelligently sort and integrate the sports training data based on the sorting algorithm, facilitate users to retrieve targeted data, and filter and delete duplicate and outdated data. This is conducive to streamlining the database unit based on the sports training plan and improving the smoothness of the operation of the database unit based on the sports training plan. On the other hand, the training field When the scene simulation unit is running, the scene generation and debugging module based on the sports training plan contained therein will, based on the user's required training scene transmitted by the user selection module, under the analysis and processing of the computer graphics algorithm, use the training field simulation module to accurately control the display module to present the corresponding training field image video, use the crowd noise simulation module to accurately control the sound module to simulate the audience's cheers, the opponent's provocative sounds and the referee's decisions in the game atmosphere, and use the light and shadow simulation module to accurately control the luminous range, color and intensity of the LED light module to simulate different daylight training adjustments, and use the natural wind simulation module to accurately control the fan module to provide different wind directions and wind intensities. Then, by matching the training environment applied to the VR virtual training field, a more realistic and accurate training environment can be created for the user, ensuring that it is infinitely close to the real sports training, making the entire sports training data more reliable and of higher reference value.

[0016] 2) By setting up a user sports training file construction unit, etc., when the system is in use, when the user sports training file construction unit is running, the face recognition-based login module contained therein will provide the user with a face login function, ensuring that the system can only be logged in by authorized users, avoiding the saved sports training data from being tampered with, and improving the security and privacy of the data. Before and after each training, the user needs to turn on the human body data measurement module, and measure the user's body fat, weight and heart rate through the body fat meter, weight meter and heart rate meter electrically connected to it and save the data. This is conducive to intelligently analyzing and judging the user's health status and training status through the measurement and comparison of the human body data before and after each sports training and the horizontal comparison of multiple sports trainings, which is convenient for The main control system server provides data support for the adjustment of the user's training intensity and plan, which is conducive to the main control system server to retrieve the appropriate training plan for the user from the database unit based on the sports training plan, and intelligently adjust the training intensity, time and method that are more suitable for the user. At the same time, when the user sports training file construction unit is running, the sports training demand acquisition module contained therein will collect the user's sports training needs, such as different training needs such as tennis, volleyball, or special rehabilitation training needs, psychological adjustment training needs, and then use the AI-based sports training plan matching generation module to retrieve the appropriate sports training method from the database unit based on the sports training plan according to the user's training needs and provide it to the user, and then collect the user's demand method through the user selection module;

[0017] 3) By setting up a sports training unit based on VR technology, etc., when the system is operated, when the sports training unit based on VR technology is running, the VR-based training equipment contained therein will control the operating handle and the VR host to present the corresponding training state according to the user needs sent by the user selection module to the sports training method. Specifically, VR technology helps athletes simulate various game scenes in training by providing a highly realistic virtual environment, thereby improving training effects and competitive levels. VR technology can enable athletes to train in a highly realistic virtual environment, and can also help athletes by simulating stressful scenes in the game, such as audience noise, opponent provocation, etc. Players can adapt to the pressure of the game, improve their psychological quality and coping ability, and can simulate different training scenes for users, such as stadiums, track and field fields, etc. At the same time, when the sports training unit based on VR technology is running, the training posture acquisition sensors, pressure sensors, sound receiving equipment and cameras contained therein will be started and cooperate with the image and sound acquisition modules to integrate and process the collected data, so as to realize real-time and efficient collection of the user's training posture data, force status data, image and sound data in the entire sports training activity based on VR technology. These data will be uploaded to the user's sports training file construction unit for archiving and storage, so that users can check their own training status at any time. BRIEF DESCRIPTION OF THE DRAWINGS

[0018] In order to more clearly illustrate the technical solutions of the embodiments of the present invention, the following briefly introduces the drawings required for use in the embodiments. It should be understood that the following drawings only illustrate certain embodiments of the present invention and therefore should not be regarded as limiting the scope. For ordinary technicians in this field, other relevant drawings can be obtained based on these drawings without paying any creative work.

[0019] FIG1 is a block diagram of the system of the present invention;

[0020] FIG2 is a system block diagram of a database unit based on a physical training program according to the present invention;

[0021] FIG3 is a system block diagram of a user sports training file construction unit according to the present invention;

[0022] FIG4 is a system block diagram of a sports training unit based on VR technology according to the present invention;

[0023] FIG5 is a system block diagram of the line training scenario simulation unit of the present invention.

[0024] In the figure: 1. Main control system server; 2. 5G network; 3. Database unit based on sports training plan; 301. Big data cloud storage module; 302. Data receiving and conversion module; 303. Data update module; 304. Data calculation and processing module; 4. User sports training file construction unit; 401. Login module based on face recognition; 402. Human body data measurement module; 403. Sports training demand acquisition module; 404. Sports training plan matching generation module based on AI; 405. User selection module; 406. Body fat measuring instrument; 407. Weight measuring instrument; 408. Heart rate measuring instrument; 5. User training evaluation module; 6. Sports training based on VR technology Unit; 601, VR-based training equipment; 602, operating handle; 603, VR host; 604, posture acquisition sensor; 605, pressure sensor; 606, image and sound acquisition module; 607, sound receiving device; 608, camera; 7, evaluation report regular sending module; 8, personalized selection memory module; 9, training scene simulation unit; 901, scene generation and debugging module based on sports training plan; 902, training field simulation module; 903, crowd noise simulation module; 904, light and shadow simulation module; 905, natural wind simulation module; 906, fan module; 907, display module; 908, audio module; 909, LED light module. DETAILED DESCRIPTION

[0025] The following will be combined with the accompanying drawings in the embodiments of the present invention to clearly and completely describe the technical solutions in the embodiments of the present invention. Based on the embodiments of the present invention, all other embodiments obtained by ordinary technicians in this field without making creative work are within the scope of protection of the present invention.

[0026] 1-5 , the present invention provides a sports training system based on VR technology, including a main control system server 1, a 5G network module 2, a database unit based on sports training programs 3, a user sports training profile construction unit 4, a user training evaluation module 5, a sports training unit based on VR technology 6, a regular evaluation report sending module 7, a personalized selection memory module 8, and a training scenario simulation unit 9;

[0027] The 5G network module 2, the database unit based on the sports training program 3, the user sports training file construction unit 4, the user training evaluation module 5, the sports training unit based on VR technology 6, the evaluation report regular sending module 7, the personalized selection memory module 8 and the training scene simulation unit 9 are bidirectionally electrically connected to the main control system server 1 in sequence through wires;

[0028] When in use, the main control system server 1 comprehensively and systematically controls the work of the 5G network module 2, the database unit based on the sports training program 3, the user sports training file construction unit 4, the user training evaluation module 5, the sports training unit based on VR technology 6, the evaluation report regular sending module 7, the personalized selection memory module 8 and the training scene simulation unit 9 through the internal running data processing, machine learning and network communication programs, which enables the entire system to achieve the advantage of modular control;

[0029] The database unit 3 based on the sports training program includes a big data cloud storage module 301, a data receiving and converting module 302, a data updating module 303 and a data calculation and processing module 304;

[0030] When in use, when the database unit 3 based on the sports training plan is running, the big data cloud storage module 301 contained therein not only collects and stores sports training data based on the 5G network module 2, but also receives the training plan written by the staff and the user's actual sports training data through the data receiving and conversion module 302. This enables the system to build a cloud storage big database for sports training through multiple data collection methods, which is convenient for providing users with more sports training plan options and different competition environment simulation options, and has strong applicability. Subsequently, the data update module 303 and the data calculation and processing module 304 can be used to intelligently sort and integrate the sports training data based on the sorting algorithm, which is convenient for users to retrieve targeted data and filter and delete duplicate and outdated data. This is conducive to streamlining the database unit 3 based on the sports training plan and improving the smoothness of the operation of the database unit 3 based on the sports training plan;

[0031] The user sports training profile construction unit 4 includes a login module 401 based on face recognition, a human body data measurement module 402, a sports training demand acquisition module 403, an AI-based sports training program matching generation module 404, a user selection module 405, a body fat measurement device 406, a weight measurement device 407, and a heart rate measurement device 408;

[0032] When in use, when the user sports training file construction unit 4 is running, the face recognition-based login module 401 contained therein will provide the user with a face login function, ensuring that the system can only be logged in by authorized users, avoiding the saved sports training data from being tampered with, and improving the security and privacy of the data. Before and after each training, the user needs to turn on the human body data measurement module 402, and measure the user's body fat, weight and heart rate through the body fat meter 406, weight meter 407 and heart rate meter 408 electrically connected to it and save the data. This is conducive to intelligently analyzing and judging the user's health status and training status through the measurement and comparison of human body data before and after each sports training and the horizontal comparison of multiple sports trainings, which is convenient for the main control system server 1 to train the user. The adjustment of training intensity and program provides data support, which is conducive to the main control system server 1 to retrieve the appropriate training program for the user from the database unit 3 based on the sports training program, and intelligently adjust the training intensity, time and method that are more suitable for the user. At the same time, when the user sports training file construction unit 4 is running, the sports training demand acquisition module 403 contained therein will collect the user's sports training needs, such as different training needs such as tennis, volleyball, etc., or special rehabilitation training needs, psychological adjustment training needs, and then the sports training program matching generation module 404 based on the AI ​​will retrieve and provide the user with the appropriate sports training method from the database unit 3 based on the sports training program according to the user's training needs, and then collect the user's required method through the user selection module 405;

[0033] The sports training unit 6 based on VR technology includes a VR-based training device 601, an operating handle 602, a VR host 603, a posture acquisition sensor 604, a pressure sensor 605, an image and sound acquisition module 606, a sound receiving device 607 and a camera 608;

[0034] When in use, when the sports training unit 6 based on VR technology is running, the VR-based training device 601 contained therein will control the operating handle 602 and the VR host 603 to present the corresponding training state according to the user requirements sent by the user selection module 405. Specifically, VR technology helps athletes simulate various game scenes in training by providing a highly realistic virtual environment, thereby improving training effects and competitive levels. VR technology can enable athletes to train in a highly realistic virtual environment, and can also help athletes adapt to game pressure, improve psychological quality and The VR technology-based sports training unit 6 can simulate different training scenarios such as stadiums and track and field stadiums for users. At the same time, when the VR technology-based sports training unit 6 is running, the training posture acquisition sensor 604, pressure sensor 605, sound receiving device 607 and camera 608 contained therein will be started and cooperate with the image and sound acquisition module 606 to integrate and process the collected data, so as to realize real-time and efficient collection of the user's training posture data, force state data, image and sound data in the entire VR technology-based sports training activity. These data will be subsequently uploaded to the user sports training file construction unit 4 for archiving and storage, so that the user can check his or her own training status at any time.

[0035] The training scene simulation unit 9 includes a scene generation and debugging module 901 based on the sports training program, a training field simulation module 902, a crowd noise simulation module 903, a light and shadow simulation module 904, a natural wind simulation module 905, a fan module 906, a display module 907, an audio module 908, and an LED light module 909;

[0036] When in use, when the training scene simulation unit 9 is running, the scene generation and debugging module 901 based on the sports training plan contained therein will, based on the training scene required by the user transmitted by the user selection module 405, under the analysis and processing of the computer graphics algorithm, accurately control the display module 907 to present the corresponding training field image video through the training field simulation module 902, accurately control the sound module 908 to simulate the cheers of the audience, the provocative sounds of the opponents and the judgment sounds of the referees in the game atmosphere through the crowd noise simulation module 903, and accurately control the luminous range, color and intensity of the LED light module 909 through the light and shadow simulation module 904 to simulate different daylight training adjustments, and accurately control the fan module 906 to provide different wind directions and wind intensities through the natural wind simulation module 905, and then, by matching the training environment applied to the VR virtual training field, a more realistic and accurate training environment can be created for the user, ensuring that it is infinitely close to real sports training, making the entire sports training data more reliable and of higher reference value.

[0037] When the embodiment of the present application is in use: first, an external power supply is connected. In step one, the main control system server 1 controls the entire system to be connected to the network through the 5G network module 2. In step two, when the database unit 3 based on the sports training program is running, the big data cloud storage module 301 contained therein not only collects and stores sports training data based on the 5G network module 2, but also receives the training program written by the staff and the actual sports training data of the user through the data receiving and conversion module 302. This enables the system to build a cloud storage big database for sports training through a variety of data collection methods, which is convenient for giving users more sports training program options and different competition environment models. It is intended to be selected, and has strong applicability. The subsequent use of the data update module 303 and the data calculation and processing module 304 can intelligently sort and integrate the sports training data based on the sorting algorithm, facilitate users to retrieve targeted data, and filter and delete duplicate and outdated data. This is conducive to streamlining the database unit 3 based on the sports training plan and improving the smoothness of the operation of the database unit 3 based on the sports training plan; Step three, when the user sports training file construction unit 4 is running, the face recognition-based login module 401 contained therein will provide the user with a face login function to ensure that the system can only be logged in by authorized users, avoiding the saved sports training data from being tampered with, The security and privacy of data are improved. Before and after each training, the user needs to turn on the human body data measurement module 402, and measure the user's body fat, weight and heart rate through the body fat measuring instrument 406, weight measuring instrument 407 and heart rate measuring instrument 408 electrically connected thereto, and save the data. This is conducive to intelligently analyzing and judging the user's health status and training status through the measurement and comparison of human body data before and after each physical training and the horizontal comparison of multiple physical trainings, so as to provide data support for the main control system server 1 to adjust the user's training intensity and plan, and is conducive to the main control system server 1 from the database unit 3 based on the physical training plan Internally, it retrieves a suitable training plan for the user and intelligently adjusts the training intensity, time, and method that are more suitable for the user. At the same time, when the user sports training profile construction unit 4 is running, the sports training demand acquisition module 403 contained therein collects the user's sports training needs, such as different training needs such as tennis, volleyball, or special rehabilitation training needs, psychological adjustment training needs, and then uses the AI-based sports training plan matching generation module 404 to retrieve and provide the user with a suitable sports training method from the sports training plan-based database unit 3 based on the user's training needs, and then collects the user's required method through the user selection module 405;Step 4: When the sports training unit 6 based on VR technology is running, the VR-based training device 601 contained therein will control the operating handle 602 and the VR host 603 to present the corresponding training state according to the user needs sent by the user selection module 405 to the sports training method. Specifically, VR technology helps athletes simulate various game scenes during training by providing a highly realistic virtual environment, thereby improving training effects and competitive levels. VR technology can enable athletes to train in a highly realistic virtual environment, and can also help athletes adapt to game pressure, improve psychological quality and coping ability by simulating stressful scenes in the game, such as audience noise, opponent provocation, etc. , and can simulate different training scenes for users such as stadiums, athletic fields, etc. At the same time, when the sports training unit 6 based on VR technology is running, the training posture acquisition sensor 604, pressure sensor 605, sound receiving device 607 and camera 608 contained therein will be started and cooperate with the image and sound acquisition module 606 to integrate and process the collected data, so as to realize real-time and efficient collection of the user's training posture data, force status data, image and sound data in the entire sports training activity based on VR technology. These data will be uploaded to the user sports training file construction unit 4 for archiving and storage, so that the user can check his or her own training status at any time; Step five, training scene simulation When the simulation unit 9 is running, the scene generation and debugging module 901 based on the sports training program contained therein will, based on the training scene required by the user transmitted from the user selection module 405, under the analysis and processing of the computer graphics algorithm, accurately control the display module 907 to present the corresponding training field image video through the training field simulation module 902, accurately control the sound module 908 to simulate the cheers of the audience, the provocative sounds of the opponents and the judgment sounds of the referees in the game atmosphere through the crowd noise simulation module 903, and accurately control the luminous range, color and intensity of the LED light module 909 through the light and shadow simulation module 904 to simulate different daylight training adjustments, and through the natural wind simulation module 9 05 to precisely control the fan module 906 to provide different wind directions and wind intensities. By matching the training environment to the VR virtual training ground, a more realistic and accurate training environment can be created for the user, ensuring that it is infinitely close to real-life sports training, making the entire sports training data more reliable and more valuable for reference. In step 6, the user training evaluation module 5 will use AI technology to intelligently analyze and evaluate the user's sports training results at each stage. The evaluation report regular transmission module 7 then regularly sends the evaluation report to the user's mobile phone, allowing the user to timely understand the results of their sports training. The results can then be used to provide positive feedback to the user, which is conducive to motivating the user to persist in sports training.

[0038] Obviously, the embodiments described above 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 making creative efforts should fall within the scope of protection of the present invention.

Claims

1. A sports training system based on VR technology, characterized in that, It includes a main control system server (1), a 5G network module (2), a database unit based on sports training programs (3), a user sports training file construction unit (4), a user training evaluation module (5), a sports training unit based on VR technology (6), a module for regularly sending evaluation reports (7), a personalized selection memory module (8), and a training scenario simulation unit (9). The 5G network module (2), the database unit based on sports training programs (3), the user sports training file construction unit (4), the user training evaluation module (5), the sports training unit based on VR technology (6), the module for regularly sending evaluation reports (7), the personalized selection memory module (8), and the training scenario simulation unit (9) are sequentially and bidirectionally electrically connected to the main control system server (1) through wires. The database unit based on sports training programs (3) includes a big data cloud storage module (301), a data receiving and conversion module (302), a data update module (303), and a data calculation and processing module (304). The user sports training file construction unit (4) includes a login module based on face recognition (401), a human body data measurement module (402), a sports training requirement acquisition module (403), an AI-based sports training program matching and generation module (404), a user selection module (405), a body fat scale (406), a weighing scale (407), and a heart rate monitor (408). The sports training unit based on VR technology (6) includes a VR-based training device (601), an operation handle (602), a VR host (603), a posture acquisition sensor (604), a pressure sensor (605), an image and sound acquisition module (606), a sound receiving device (607), and a camera (608). The training scenario simulation unit (9) includes a scenario generation and debugging module based on sports training programs (901), a training ground simulation module (902), a crowd noise simulation module (903), a light and shadow simulation module (904), a natural wind simulation module (905), a fan module (906), a display module (907), a sound module (908), and an LED lamp module (909).

2. The sports training system based on VR technology according to claim 1, characterized in that: The main control system server (1) comprehensively and systematically regulates the operations of the 5G network module (2), the database unit based on sports training programs (3), the user sports training file construction unit (4), the user training evaluation module (5), the sports training unit based on VR technology (6), the module for regularly sending evaluation reports (7), the personalized selection memory module (8), and the training scenario simulation unit (9) through data processing, machine learning, and network communication programs running internally.

3. A sports training system based on VR technology according to claim 1, characterized in that: When the database unit based on sports training programs (3) is running, the big data cloud storage module (301) it contains not only collects and stores sports training data through networking based on the 5G network module (2), but also receives the training programs written by staff and the actual sports training data of users via the data receiving and conversion module (302).

4. A sports training system based on VR technology according to claim 1, characterized in that: When the user sports training file construction unit (4) runs, the face recognition-based login module (401) included therein will provide the user with a face login function. The user needs to activate the human body data measurement module (402) and measure and save the body fat, weight, and heart rate of the user through the body fat monitor (406), weight scale (407), and heart rate monitor (408) electrically connected thereto.

5. A sports training system based on VR technology according to claim 1, characterized in that: When the user sports training file construction unit (4) runs, the sports training requirement acquisition module (403) included therein will collect the sports training requirements of the user, and then the AI-based sports training plan matching and generation module (404) will retrieve a suitable sports training method from the sports training plan database unit (3) according to the training requirements of the user and provide it to the user, and then collect the required method of the user through the user selection module (405).

6. A sports training system based on VR technology according to claim 1, characterized in that: When the VR technology-based sports training unit (6) runs, the VR-based training device (601) included therein will control the operation handle (602) and the VR host (603) to present the corresponding training state according to the sports training method sent by the user selection module (405).

7. A sports training system based on VR technology according to claim 1, characterized in that: When the VR technology-based sports training unit (6) runs, the training posture acquisition sensor (604), pressure sensor (605), sound collection device (607), and camera (608) included therein will start and cooperate with the image and sound collection module (606) for the integration and processing of the collected data.

8. A sports training system based on VR technology according to claim 1, characterized in that: When the training scenario simulation unit (9) runs, the scenario generation and debugging module (901) based on the sports training plan included therein will, according to the training scenario required by the user transmitted by the user selection module (405), under the analysis and processing of the computer graphics algorithm, accurately control the display module (907) to present the corresponding training ground image and video through the training ground simulation module (902).

9. A sports training method based on VR technology, characterized in that: Step 1: The main control system server (1) controls the entire system to run online through the 5G network module (2); Step 2: When the database unit (3) based on the sports training plan runs, the big data cloud storage module (301) contained therein not only collects and saves sports training data through networking based on the 5G network module (2), but also receives the training plan written by the staff and the actual sports training data of the user through the data receiving and conversion module (302). Subsequently, the data update module (303) and the data calculation and processing module (304) can perform intelligent sorting and integration on the sports training data based on the sorting algorithm; Step 3: When the user sports training file construction unit (4) runs, the face recognition-based login module (401) contained therein provides the user with a face login function, ensuring that the system can only be logged in by users with permissions, preventing the saved sports training data from being tampered with, and improving the security and privacy of the data. Before and after each training, the user needs to activate the human body data measurement module (402) to measure and save the body fat, weight, and heart rate of the user through the body fat measuring instrument (406), weight measuring instrument (407), and heart rate measuring instrument (408) electrically connected thereto. At the same time, when the user sports training file construction unit (4) runs, the sports training requirement acquisition module (403) contained therein collects the sports training requirements of the user, such as different training requirements like tennis and volleyball, or special rehabilitation training requirements and psychological adjustment training requirements. Then, through the AI-based sports training plan matching and generation module (404), suitable sports training methods are retrieved from the database unit (3) based on the sports training plan and provided to the user, and the user's required methods are collected through the user selection module (405).Step 4: When the sports training unit (6) based on VR technology runs, the VR-based training equipment (601) it contains will control the operation handle (602) and the VR host (603) to present the corresponding training state according to the user requirements sent by the user selection module (405) to the sports training method. Specifically, VR technology helps athletes simulate various competition scenarios during training by providing a highly realistic virtual environment, thereby improving the training effect and competitive level. Moreover, VR technology enables athletes to train in a highly realistic virtual environment and can also help athletes adapt to competition pressure, improve psychological quality and coping ability by simulating stress scenarios in the competition such as noisy audiences and opponents' provocations. It can also simulate different training scenarios for users such as stadiums and track and fields. At the same time, when the sports training unit (6) based on VR technology runs, the training posture acquisition sensor (604), pressure sensor (605), sound collection device (607) and camera (608) it contains will start and cooperate with the image and sound acquisition module 606 for the integrated processing of the collected data to achieve the real-time and high-efficiency collection of the user's training posture data, force application state data, image and sound data during the entire sports training activity based on VR technology. These data will be uploaded to the user sports training file construction unit (4) for archiving and storage, facilitating the user to view their own training status at any time. Step 5: When the training scenario simulation unit (9) runs, the scenario generation and debugging module (901) based on the sports training plan it contains will, according to the training scenarios required by the user transmitted by the user selection module (405), under the analysis and processing of the computer graphics algorithm, accurately control the display module (907) to present the corresponding training venue image and video through the training ground simulation module (902), accurately control the audio module (908) to simulate the cheers of the audience, the provocations of the opponents and the judgments of the referees in the competition atmosphere through the crowd noise simulation module (903), and accurately control the light emission range, color and intensity of the LED lamp module (909) to simulate different daylight training adjustments through the light and shadow simulation module (904), and accurately control the fan module (906) to provide different wind directions and wind force intensities through the natural wind simulation module (905). Furthermore, through the training environment applied to the VR virtual training ground in a matching manner, a more realistic and accurate training environment can be created for the user. Step 6: The user training evaluation module (5) will intelligently analyze and evaluate the sports training achievements of the user at each stage based on AI technology, and then use the evaluation report regular sending module (7) to regularly send the evaluation report to the user's mobile phone, facilitating the user to timely understand their own sports training effect, and then giving positive feedback to the user through the achievements.

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