Intelligent environment adaptability exercise training system and training method

Abstract

The invention relates to the technical field of exercise training, in particular to an intelligent environment adaptability exercise training system and training method. The system comprises an environment simulation module, an intelligent wearable device, a data processing and analysis platform and an augmented reality technology, and the environment simulation module simulates a plateau training mode by accurately controlling indoor environment parameters to help athletes adapt to a high-altitude environment. The intelligent wearable device monitors the physiological data and the motion trail of the athlete in real time, and provides real-time feedback and decision-making assistance. The method comprises the steps of environment simulation setting, intelligent wearable device monitoring, data processing and analysis, augmented reality technology training and training scheme generation. The invention aims to improve the environmental adaptability of athletes by simulating extreme environmental conditions such as high altitude, high temperature, low temperature and the like, so that the competitive performance is enhanced, and the adaptive capacity and competitive level of the athletes in actual competitions are enhanced.

Description

Technical Field

[0001] The present invention relates to the technical field of sports training, and in particular to an intelligent environment adaptability sports training system and a training method. Background Art

[0002] With the rapid development of competitive sports around the world, athletes are facing increasing challenges, especially in competitions under different environmental conditions. Traditional training methods are often limited by the limitations of the natural environment and cannot provide athletes with comprehensive adaptive training. For example, athletes in high-altitude areas need to train in a low-oxygen environment to improve endurance and performance, while athletes in tropical areas need to adapt to high temperature and high humidity environments. In addition, extreme low temperature environments are also a big test for athletes' physical fitness and skills.

[0003] Most existing sports training systems are conducted in a single environment. For example, a Chinese patent with the authorization announcement number CN112349413B discloses a long-distance sports training load analysis system, which can track and analyze the actual sports load state of long-distance athletes or enthusiasts, but cannot simulate extreme environments such as high altitude, high temperature, and low temperature, resulting in insufficient adaptability of athletes when they encounter these environments in actual competitions, affecting their competition results. Although some training institutions try to simulate different environmental conditions by changing the training location, this is not only costly, but also limited by geographical location and resources.

[0004] In order to solve the above problems, an intelligent training system is needed that can simulate different environmental conditions and help athletes adapt to various competition environments. Such a system should be able to accurately control indoor environmental parameters, monitor athletes' physiological and sports data in real time, and provide personalized training plans. By simulating extreme environments such as high altitude, high temperature, and low temperature, athletes can perform adaptive training in a safe and controllable laboratory environment, thereby improving their competitive performance and competition adaptability.

[0005] In addition, with the advancement of science and technology, the application of technologies such as artificial intelligence, the Internet of Things, and extended reality has brought new possibilities to the field of sports training. By integrating these advanced technologies into sports training systems, the efficiency and pertinence of training can be further improved, helping athletes to better prepare for competitions psychologically and physiologically. Therefore, the development of an intelligent environmentally adaptive sports training system that integrates multiple modules such as environmental simulation, smart wearable devices, data processing and analysis, extended reality technology, and user interfaces has become an important direction for the development of sports training technology. Summary of the invention

[0006] The present invention aims to provide an intelligent environmental adaptive sports training system, which can simulate extreme environmental conditions such as high altitude, high temperature, low temperature, etc., to help athletes conduct adaptive training under non-ideal climatic conditions and improve their competitive performance and competition adaptability. The system includes an environmental simulation module, an intelligent wearable device module, a data processing and analysis platform module, an extended reality technology module, a user interface module, a communication module, a power management module, a security monitoring module and a training program generation module, and each module works together to provide athletes with a comprehensive training solution.

[0007] This patent helps athletes improve their overall environmental adaptability by systematically simulating various environmental conditions such as high altitude, high temperature, and low temperature.

[0008] The intelligent environmental adaptive sports training system is equipped with an advanced environmental simulation module, which can accurately control indoor environmental parameters by integrating oxygen and carbon dioxide content control systems, wind speed control systems, temperature and humidity control systems, and irradiance simulation systems. It can simulate an environment at an altitude of 5,000 meters, and provide athletes with a highly realistic environmental simulation experience by adjusting the oxygen concentration to 15%, wind speed to 3m / s, temperature to 15°C, humidity to 30%, and irradiance as needed. Such simulations not only include low oxygen, low temperature, and low humidity conditions in high altitude areas, but also simulate high temperature and high humidity environments in tropical climates, as well as low temperature conditions in cold climates, ensuring that athletes can perform adaptive training in various simulated environments and improve their environmental adaptability and athletic performance.

[0009] The smart wearable device module is the core component of the intelligent environmental adaptive sports training system, which includes smart vests, smart sneakers, smart wristbands and smart rings, etc. These devices can monitor the athletes' physiological data and movement trajectories in real time. The smart vest has built-in multiple sensors, including heart rate sensors and accelerometers, which are used to record athletes' heart rate changes and exercise habits. Smart sneakers are equipped with pressure sensors and microchips that can monitor gait and ground reaction forces to help athletes optimize sports skills and improve performance. Smart wristbands and smart rings monitor athletes' body temperature and blood oxygen saturation respectively, providing comprehensive physiological data support for training. All these devices are connected to the data processing and analysis platform through wireless communication technology, Bluetooth, Wi-Fi or 5G, to ensure real-time transmission and analysis of data. Such real-time monitoring and data analysis capabilities enable coaches and athletes to adjust training plans in time to achieve the best training results.

[0010] The data processing and analysis platform module uses artificial neural network technology to process multi-dimensional status monitoring data from smart wearable devices in real time. These data include key physiological and sports parameters such as the athlete's heart rate, body temperature, movement speed and trajectory. Through algorithm analysis, the platform can evaluate the athlete's physiological state and training load, and adjust the training intensity in real time to ensure the scientificity and effectiveness of the training. In addition, the platform can predict potential injury risks and provide decision-making assistance for coaches and athletes to help them optimize their training plans and avoid overtraining and sports injuries. Through this intelligent data processing and decision support, athletes can improve their athletic performance in a safe environment while maximizing training benefits.

[0011] The extended reality technology module integrates advanced virtual reality and augmented reality technologies in the intelligent environmental adaptive sports training system to build a highly customized and dynamically adaptable competition environment simulation system. It can simulate a real stadium or training ground to provide athletes with a realistic training environment. In this virtual environment, athletes can conduct various training, including technical exercises, tactical drills, and game simulations, to improve their skills and psychological qualities. In addition, the extended reality technology module can also provide personalized training programs based on the specific needs and training goals of athletes to ensure that the training content and methods match the actual competition needs of athletes. This personalized training method helps athletes better prepare for actual competitions psychologically and technically, and improve their performance in real competitions. In this way, athletes can experience pressure and environment similar to actual competitions in a safe and controllable virtual environment, so as to perform at their best in actual competitions.

[0012] The user interface module is an important part of the intelligent environmental adaptive sports training system. It provides an intuitive and user-friendly interactive platform that enables coaches and athletes to easily monitor training progress and training parameters. Through this module, users can directly access the real-time feedback provided by the data processing and analysis platform, including key information such as athletes' physiological data, sports performance and environmental conditions. The user interface includes a touch screen and a mobile application, both of which are designed to be easy to operate, ensuring that users can quickly adjust training settings, such as environmental simulation parameters, training intensity and monitoring frequency, to adapt to training needs and goals. In addition, the user interface module also supports personalized settings, allowing users to customize the interface layout and data display according to their preferences, thereby improving user experience and system efficiency. Through this module, coaches and athletes can control the training process more accurately, ensure the scientificity and effectiveness of training, and maximize training benefits.

[0013] The communication module plays the role of a bridge for data transmission in the intelligent environmental adaptive sports training system. It is responsible for transmitting the athletes' physiological data and motion trajectories collected by smart wearable devices to the data processing and analysis platform in real time. This module supports a variety of wireless communication technologies, including Bluetooth, Wi-Fi and 5G, ensuring the stability and real-time performance of data transmission. Through these high-speed and reliable communication technologies, the system can ensure that coaches and athletes obtain key training data in a timely manner, so as to make precise training adjustments. Whether it is the real-time performance of athletes on the training ground or the immediate changes in the environmental simulation module, the communication module ensures the accuracy and timely updating of information, providing solid technical support for the effective operation of the system.

[0014] The power management module is responsible for the power supply and energy efficiency management of each module of the system. The module includes rechargeable batteries and energy recovery systems to improve the energy efficiency and sustainability of the system. The main functions of the power management module include battery system monitoring, sleep power management, static power management, and dynamic power management. Through these functions, the module can ensure stable operation of the system while optimizing energy use, reducing energy consumption, extending the service life of the device, and supporting the sustainability of the system.

[0015] The safety monitoring module plays a key role in the intelligent environmental adaptive sports training system. It is responsible for real-time monitoring of the safety status of the training process, covering the vital signs of athletes and environmental safety. The module ensures the safety of training by continuously monitoring key vital signs of athletes such as heart rate, body temperature, blood pressure, and parameters such as temperature, humidity and radiation of the training environment. The safety monitoring module includes an emergency stop mechanism and a biofeedback system. Once it detects that the vital signs of athletes are abnormal or the environmental conditions are beyond the safe range, the system will immediately trigger the emergency stop mechanism to prevent potential injuries and notify coaches and medical staff to take corresponding measures. In addition, the biofeedback system can provide real-time physiological feedback to help coaches and athletes understand the intensity of training and ensure that training is carried out within a safe range. Through these functions, the safety monitoring module provides athletes with a safe training environment, reduces training risks, and ensures the health and safety of athletes.

[0016] The training program generation module is one of the intelligent cores in the intelligent environmental adaptive sports training system. It automatically generates personalized training programs based on the athlete's physiological data and historical performance. The module can accurately assess the athlete's physical condition and training needs by analyzing the athlete's heart rate, body temperature, movement speed and other real-time data, combined with their historical training records and competition results. Based on these analysis results, the training program generation module can dynamically adjust the training plan, including exercise intensity, duration, recovery cycle and training frequency of specific skills. This personalized training program helps athletes avoid overtraining and potential injuries while improving their skills, ensuring the scientificity and effectiveness of training. In addition, the module can also optimize the training plan in real time based on the athlete's feedback and actual performance to maximize the training benefits and help athletes achieve continuous improvement in their competitive level.

[0017] Through the coordinated work of these modules, the intelligent environmental adaptability sports training system of the present invention can provide athletes with a comprehensive, efficient and safe training environment, helping them to perform at their best under various environmental conditions.

[0018] The intelligent environment adaptive sports training method includes the following sub-steps:

[0019] S1. Environment simulation settings: start the environment simulation module, set high altitude, high temperature and low temperature environment conditions respectively, and simulate the training environment under different altitudes and climate conditions. The specific parameters are high altitude environment oxygen concentration of 15%, high temperature environment temperature of 40℃, humidity of 60%, low temperature environment temperature of -10℃, and wind speed of 5m / s.

[0020] S2. Smart wearable device monitoring. Athletes wear a full set of smart wearable devices, including smart vests, smart sneakers, smart wristbands and smart rings, to monitor their heart rate, body temperature, muscle activity and water consumption in real time.

[0021] S3. Data processing and analysis. The data processing and analysis platform receives data from smart wearable devices, analyzes athletes’ physiological reactions and training effects through artificial neural networks, and adjusts training loads based on data such as heart rate and body temperature.

[0022] S4. Extended reality technology training. The extended reality technology module simulates competition scenarios under various environmental conditions. Athletes conduct comprehensive adaptive training in the simulated environment to improve their athletic performance in different environments.

[0023] S5. Training program generation. The training program generation module automatically generates a personalized training plan based on the athlete's physiological data and historical performance, including exercise intensity, time, recovery cycle and environmental adaptability training.

[0024] Compared with the prior art, the present invention has the following beneficial effects:

[0025] Improve athletes' environmental adaptability: By accurately simulating extreme environmental conditions such as high altitude, high temperature, and low temperature, athletes can conduct adaptive training in a safe and controllable laboratory environment. This simulated training allows athletes to adapt to the competition environment in advance, reduce the physiological and psychological stress caused by environmental changes, and thus improve their performance in actual competitions. For example, by simulating high-altitude environments, athletes can adapt to low oxygen conditions in advance, enhance cardiopulmonary function and endurance, while training in high-temperature environments helps improve athletes' heat tolerance and water retention.

[0026] Real-time monitoring and personalized training programs: Smart wearable devices can monitor athletes' physiological data in real time, such as heart rate, body temperature, movement speed and trajectory, and transmit these data to the data processing and analysis platform. Based on artificial intelligence algorithms, the platform analyzes athletes' performance and physiological reactions in real time and provides personalized training suggestions and adjustments. This personalized training program can be dynamically adjusted according to the athlete's real-time performance and historical data to ensure the scientificity and effectiveness of training, while reducing the risk of overtraining and sports injuries.

[0027] Enhanced realism and safety of training: The extended reality technology module can simulate real game scenes, including different lighting, climate conditions, and stadiums or training venues, providing athletes with a highly simulated training experience. This simulated training not only helps athletes prepare for actual games psychologically and technically, but also improves the safety of training. The safety monitoring module ensures rapid response when abnormal physiological reactions or environmental risks are detected through an emergency stop mechanism and biofeedback system, thereby ensuring the safety of athletes. In addition, the environmental parameter monitoring module ensures the accuracy of environmental simulation, providing athletes with a realistic and safe training environment. BRIEF DESCRIPTION OF THE DRAWINGS

[0028] In order to more clearly illustrate the embodiments of the present invention or the technical solutions in the prior art, the drawings required for use in the embodiments or the description of the prior art will be briefly introduced below. Obviously, for ordinary technicians in this field, other drawings can be obtained based on these drawings without paying any creative work.

[0029] Figure 1 It is a structural schematic diagram of the intelligent environment adaptability sports training system of the present invention.

[0030] Figure 2 It is a circuit diagram of the power management module of the intelligent environment adaptability sports training system of the present invention.

[0031] Figure 3It is a step diagram of the intelligent environment adaptability sports training method of the present invention. DETAILED DESCRIPTION

[0032] In order to enable those skilled in the art to better understand the technical solutions in the present invention, the technical solutions in the embodiments of the present invention will be clearly and completely described below in conjunction with the drawings in the embodiments of the present invention. Obviously, the described embodiments are only part of the embodiments of the present invention, not all of the embodiments. Based on the embodiments of the present invention, all other embodiments obtained by ordinary technicians in this field without creative work should fall within the scope of protection of the present invention.

[0033] like Figure 1-Figure 3 As shown, the present application provides an intelligent environment adaptive sports training system, comprising:

[0034] Environmental simulation module, used to simulate environmental conditions at different altitudes, temperatures, and humidity, including oxygen and carbon dioxide content control systems, wind speed control systems, temperature and humidity control systems, and irradiance simulation systems;

[0035] Smart wearable device modules, including smart vests, smart sneakers, smart wristbands, and smart rings, are used to monitor athletes’ physiological data and movement trajectories in real time;

[0036] The data processing and analysis platform module processes multi-dimensional status monitoring data in real time based on artificial neural networks, providing training load adjustment, potential injury prediction and real-time feedback decision assistance;

[0037] Extended reality technology module, which is used to integrate and build highly customized and dynamically adaptable competition environment simulation, simulate the entire stadium or training ground, and provide personalized training programs;

[0038] A user interface module that allows coaches and athletes to monitor training progress, adjust training parameters, and receive real-time feedback from the data processing and analysis platform;

[0039] Communication module, used for data transmission between smart wearable devices and data processing and analysis platform, ensuring real-time update and accuracy of information;

[0040] The power management module is used for power supply and energy efficiency management of each module in the system to ensure stable operation of the system;

[0041] Safety monitoring module, used to monitor the safety status during training, including the athlete's vital signs and environmental safety, to ensure the safety of the athlete;

[0042] The training program generation module automatically generates personalized training programs based on the athlete's physiological data and historical performance to meet different training needs;

[0043] The environmental parameter monitoring module monitors the temperature, humidity, air pressure and other parameters of the training environment in real time to ensure the accuracy of environmental simulation and the effectiveness of training.

[0044] Example 1: High Altitude Acclimatization Training

[0045] This embodiment simulates a high altitude environment through an intelligent environmental adaptability sports training system to improve athletes' endurance and cardiopulmonary function. The specific steps and parameter settings are as follows:

[0046] 1. Environmental simulation settings: The environmental simulation module adjusts the indoor oxygen and carbon dioxide content to simulate the environmental conditions at an altitude of 5,000 meters. The specific parameters are that the oxygen concentration is set to 15% to simulate the high-altitude low-oxygen environment. The wind speed adjustment system is set to 3m / s, and the temperature and humidity adjustment system is set to 15°C and 30% respectively to simulate the low oxygen, low temperature and low humidity environment common in high-altitude areas.

[0047] 2. Monitoring by smart wearable devices: The smart vests worn by athletes have built-in heart rate sensors that record heart rate changes in real time to ensure that the training intensity is within a safe range. Smart sneakers have built-in pressure sensors to monitor the athlete's gait and ground reaction force. Smart wristbands monitor body temperature changes, and smart rings monitor blood oxygen saturation. These devices are connected to the data processing and analysis platform through wireless communication technology to achieve real-time data transmission and analysis.

[0048] 3. Data processing and analysis: The data processing and analysis platform receives data from smart wearable devices and analyzes athletes’ physiological responses and training effects through artificial neural networks. The platform adjusts training load based on heart rate data to avoid overtraining. For example, if the heart rate exceeds a predetermined threshold, the platform will automatically reduce the training intensity or recommend a short break for the athlete.

[0049] 4. Extended Reality Technology Training: The Extended Reality Technology module simulates the track environment in high altitude areas. Athletes conduct running training in the simulated environment to improve their ability to adapt to high-altitude competitions. The simulated environment includes the terrain, climate and lighting conditions of high altitude areas to provide a highly simulated training experience.

[0050] 5. Training program generation: The training program generation module automatically generates a personalized training plan based on the athlete's heart rate data and historical performance, including exercise intensity, time, and recovery period. For example, for a marathon runner, the training program may include long-distance running in a high-altitude environment to improve endurance and cardiopulmonary function.

[0051] The implementation results show that after 8 weeks of high-altitude adaptation training, the athletes' maximum oxygen uptake increased by 10% and their heart rate recovery time was shortened by 15%, significantly improving their athletic performance in high-altitude environments.

[0052] Example 2: High temperature environment acclimatization training

[0053] This embodiment aims to help athletes improve their heat resistance and water retention ability by simulating a high temperature environment through the system. The specific steps and parameter settings are as follows:

[0054] 1. Environmental simulation settings: The environmental simulation module adjusts the indoor temperature to 40°C and the humidity to 60% to simulate tropical climate conditions. The irradiance simulation system is set to high-intensity ultraviolet radiation to simulate the strong sunlight in tropical areas.

[0055] 2. Smart wearable device monitoring: The smart wristbands and smart rings worn by athletes monitor body temperature, heart rate and water consumption. The smart wristbands have built-in temperature sensors to record body temperature changes in real time, and the smart rings monitor heart rate. These devices are connected to the data processing and analysis platform through wireless communication technology to achieve real-time data transmission and analysis.

[0056] 3. Data processing and analysis: The data processing and analysis platform analyzes the athlete's physiological data and adjusts the training intensity according to changes in body temperature to avoid heat stroke and dehydration. For example, if the body temperature exceeds a predetermined threshold, the platform will automatically reduce the training intensity or recommend a short break for the athlete and provide water replenishment advice.

[0057] 4. Extended reality technology training: The extended reality technology module simulates high temperature training scenarios, and athletes perform aerobic exercises in a simulated environment to improve heat resistance. The simulated environment includes high temperature, high humidity and strong sunlight to provide a highly simulated training experience.

[0058] 5. Training program generation: The training program generation module automatically generates personalized training plans based on the athlete's physiological data and historical performance, including exercise time, intensity, and hydration strategies. For example, for a football player, the training program may include intermittent high-intensity training in a hot environment to improve heat tolerance and endurance.

[0059] The implementation results show that after 6 weeks of high temperature adaptation training, the athletes' heat tolerance time was extended by 20% and their water retention ability was increased by 25%, which effectively improved the athletes' athletic performance in high temperature environments.

[0060] Example 3: Low temperature environment adaptation training

[0061] This embodiment helps athletes improve their cold tolerance and muscle explosiveness by simulating a low temperature environment through the system. The specific steps and parameter settings are as follows:

[0062] 1. Environmental simulation settings: The environmental simulation module adjusts the indoor temperature to -10°C and the wind speed to 5m / s to simulate cold weather conditions. The temperature and humidity control system is set to a low temperature and dry environment to simulate the climate conditions in the northern region in winter.

[0063] 2. Smart wearable device monitoring: The smart vests and smart sneakers worn by athletes monitor body temperature, heart rate and muscle activity. The smart vests have built-in temperature sensors to record temperature changes in real time, and the smart sneakers monitor muscle activity. These devices are connected to the data processing and analysis platform through wireless communication technology to achieve real-time data transmission and analysis.

[0064] 3. Data processing and analysis: The data processing and analysis platform receives data from smart wearable devices, analyzes the athletes’ physiological responses and training effects, and adjusts the training intensity based on the body temperature data. For example, if the body temperature is too low, the platform will automatically increase the training intensity or recommend that the athlete do warm-up exercises to increase the body temperature.

[0065] 4. Extended reality technology training: The extended reality technology module simulates low-temperature training scenarios, and athletes conduct strength training in a simulated environment to improve cold resistance. The simulated environment includes low temperature, low humidity, and strong winds to provide a highly simulated training experience.

[0066] 5. Training program generation: The training program generation module automatically generates personalized training plans, including exercise intensity, time, and recovery period, based on the athlete's physiological data and historical performance. For example, for a weightlifter, the training program may include high-intensity strength training in a low-oxygen environment to improve muscle explosiveness and cold resistance.

[0067] The implementation results show that after 10 weeks of low-temperature adaptation training, the athletes' cold tolerance time was extended by 30%, and muscle explosiveness increased by 15%, which effectively improved the athletes' athletic performance in low-temperature environments.

[0068] Example 4: Comprehensive environmental adaptability training

[0069] This embodiment helps athletes improve their environmental adaptability by simulating various environmental conditions such as high altitude, high temperature, and low temperature. The specific steps and parameter settings are as follows:

[0070] 1. Environmental simulation settings: The environmental simulation module sets high altitude, high temperature and low temperature environmental conditions to simulate the training environment under different altitudes and climate conditions. The specific parameters are high altitude environment oxygen concentration of 15%, high temperature environment temperature of 40℃, humidity of 60%, low temperature environment temperature of -10℃, and wind speed of 5m / s.

[0071] 2. Smart wearable device monitoring: Athletes wear a full set of smart wearable devices, including smart vests, smart sneakers, smart wristbands and smart rings, to monitor their heart rate, body temperature, muscle activity and water consumption in real time. These devices are connected to the data processing and analysis platform through wireless communication technology to achieve real-time data transmission and analysis.

[0072] 3. Data processing and analysis: The data processing and analysis platform receives data from smart wearable devices, analyzes athletes’ physiological responses and training effects through artificial neural networks, and adjusts training loads based on heart rate, body temperature and other data. The platform can process data from multiple devices at the same time and provide comprehensive training analysis and suggestions.

[0073] 4. Extended Reality Technology Training: The Extended Reality Technology module simulates competition scenarios under various environmental conditions, and athletes conduct comprehensive adaptive training in the simulated environment to improve their sports performance in different environments. The simulated environment includes tracks, courts and training grounds under high altitude, high temperature and low temperature conditions to provide a highly simulated training experience.

[0074] 5. Training program generation: The training program generation module automatically generates personalized training plans based on the athlete's physiological data and historical performance, including exercise intensity, time, recovery cycle and environmental adaptability training. For example, for a triathlete, the training program may include comprehensive training of swimming, cycling and running under different environmental conditions to improve comprehensive competitive ability.

[0075] The implementation results show that after 12 weeks of comprehensive environmental adaptability training, the athletes' environmental adaptability has been significantly improved, and they are able to maintain stable athletic performance under different altitudes and climatic conditions, effectively improving the athletes' comprehensive competitive ability.

[0076] Although the present invention has been described in detail by referring to the accompanying drawings and in combination with the preferred embodiments, the present invention is not limited thereto. Without departing from the spirit and essence of the present invention, a person of ordinary skill in the art may make various equivalent modifications or substitutions to the embodiments of the present invention, and these modifications or substitutions shall be within the scope of the present invention. Any person of ordinary skill in the art may easily think of changes or substitutions within the technical scope disclosed by the present invention, and these shall be within the scope of protection of the present invention. Therefore, the scope of protection of the present invention shall be subject to the scope of protection of the claims.

Claims

1. An intelligent environment-adaptive sports training system, characterized in that: include Environmental simulation module, used to simulate environmental conditions at different altitudes, temperatures, and humidity, including oxygen and carbon dioxide content control systems, wind speed control systems, temperature and humidity control systems, and irradiance simulation systems; Smart wearable device modules, including smart vests, smart sneakers, smart wristbands, and smart rings, are used to monitor athletes’ physiological data and movement trajectories in real time; The data processing and analysis platform module processes multi-dimensional status monitoring data in real time based on artificial neural networks, providing training load adjustment, potential injury prediction and real-time feedback decision assistance; Extended reality technology module, which is used to integrate and build highly customized and dynamically adaptable competition environment simulation, simulate the entire stadium or training field, and provide personalized training programs; A user interface module that allows coaches and athletes to monitor training progress, adjust training parameters, and receive real-time feedback from the data processing and analysis platform; Communication module, used for data transmission between smart wearable devices and data processing and analysis platform, ensuring real-time update and accuracy of information; The power management module is used for power supply and energy efficiency management of each module in the system to ensure stable operation of the system; Safety monitoring module, used to monitor the safety status during training, including the athlete's vital signs and environmental safety, to ensure the safety of the athlete; The training program generation module automatically generates personalized training programs based on the athlete's physiological data and historical performance to meet different training needs; The environmental parameter monitoring module monitors the temperature, humidity, and air pressure parameters of the training environment in real time to ensure the accuracy of environmental simulation and the effectiveness of training.

2. The intelligent environment-adaptive sports training system according to claim 1, characterized in that: The smart wearable device module includes sensors for monitoring the athlete's heart rate, body temperature, movement speed and trajectory.

3. The intelligent environment-adaptive sports training system according to claim 1, characterized in that: The data processing and analysis platform module uses neural network technology to analyze the performance data of athletes and adjust the training intensity in real time.

4. The intelligent environment-adaptive sports training system according to claim 1, characterized in that: The extended reality technology module is used to simulate different stadiums or training grounds.

5. The intelligent environment-adaptive sports training system according to claim 1, characterized in that: The user interface module includes a touch screen and a mobile application for user access and control of the system.

6. The intelligent environment-adaptive sports training system according to claim 1, characterized in that: The communication module supports wireless communication technologies, including Bluetooth, Wi-Fi or 5G, to ensure the stability of data transmission.

7. The intelligent environment-adaptive sports training system according to claim 1, characterized in that: The power management module includes a rechargeable battery and an energy recovery system to improve the energy efficiency and sustainability of the system.

8. The intelligent environment-adaptive sports training system according to claim 1, characterized in that: The safety monitoring module includes an emergency stop mechanism and a biofeedback system to respond quickly when anomalies are detected.

9. An intelligent environment-adaptive sports training method, using the intelligent environment-adaptive sports training system according to any one of claims 1 to 8, characterized in that: The method comprises the following steps: S1. Environment simulation setting: start the environment simulation module, set high altitude, high temperature and low temperature environment conditions respectively, and simulate the training environment under different altitudes and climate conditions; S2, smart wearable device monitoring, athletes wear a full set of smart wearable devices; S3, data processing and analysis, the data processing and analysis platform receives data from smart wearable devices to evaluate the athletes’ physiological state and training load; S4, Extended Reality Technology Training: The Extended Reality Technology module simulates competition scenarios under various environmental conditions. Athletes conduct comprehensive adaptive training in the simulated environment to improve their sports performance in different environments. S5. Training program generation. The training program generation module automatically generates a personalized training plan based on the athlete's physiological data and historical performance, including exercise intensity, time, recovery cycle and environmental adaptability training.

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