CN121264988A

CN121264988A - A smart monitoring system for physical training

Info

Publication number: CN121264988A
Application number: CN202511698160.2A
Authority: CN
Inventors: 何沛永; 彭月平
Original assignee: Engineering University of Chinese Peoples Armed Police Force
Current assignee: Engineering University of Chinese Peoples Armed Police Force
Priority date: 2025-11-19
Filing date: 2025-11-19
Publication date: 2026-01-06

Abstract

This invention relates to the field of training support and monitoring systems, specifically to an intelligent support and monitoring system for physical training. This system aims to achieve comprehensive and accurate monitoring of physical training. The intelligent support and monitoring system for physical training includes the following modules: a multi-dimensional data acquisition module, a data transmission module, a data analysis and processing module, a training plan generation module, and a user interaction module. By integrating multi-dimensional data, this intelligent support and monitoring system deeply analyzes the physical condition of trainees and generates personalized training plans based on individual differences, thereby effectively improving training results while reducing the risk of sports injuries and ensuring the health and safety of trainees.

Description

Intelligent physical training guarantee monitoring system

Technical Field

The invention relates to the field of training support monitoring systems, in particular to an intelligent support monitoring system for physical training.

Background

In the current physical training field, in order to evaluate training effects and ensure health and safety of trainers, various monitoring technologies and devices have been developed;

The traditional heart rate monitoring equipment, such as a heart rate belt, an intelligent bracelet and the like, is a relatively common physical performance monitoring tool, takes the heart rate belt as an example, the working principle of the heart rate monitoring equipment is mainly based on an electrocardiograph monitoring technology, bioelectricity signals generated during heart beating are sensed through electrodes in contact with skin, heart rate values are accurately calculated through signal processing and analysis, data are transmitted to display equipment matched with the heart rate values, so that a trainer knows the heart rate conditions of the trainer in real time, the heart rate is a key index reflecting the exercise intensity and the physical fatigue degree in exercise training, and a trainer and the trainer can adjust the training intensity according to heart rate changes, for example, the heart rate is kept between 60% and 85% of the maximum heart rate in aerobic exercise, so that a good exercise effect is achieved;

The simple exercise data recording tool is widely applied to physical training monitoring like a pedometer and an exercise watch, the pedometer generally utilizes an acceleration sensor to detect vibration generated during human body exercise, when a person walks or runs, the up-and-down shaking and the front-and-back shaking of the body can be captured by the acceleration sensor and converted into electric signals, a microprocessor recognizes vibration signals conforming to gait characteristics through a specific algorithm, the number of the step counting value is increased by 1 every time the vibration signals are recognized, and meanwhile, the processing such as filtering, denoising, error correction and the like can be performed on the data according to user setting or preset parameters so as to improve accuracy, the accumulated step number, exercise distance, calories consumed and other information are finally displayed on a display screen, the exercise watch has more abundant functions, besides the step counting function, the exercise track, exercise speed, exercise time and other data can be recorded, part of the high-end exercise watch also has the functions of sleep monitoring, blood oxygen monitoring and the like, for example, a plurality of exercise tracks of outdoor exercises such as riding and the like can be accurately recorded through a built-in GPS module, and the exercise can be completed by a mobile phone after the exercise is finished, the exercise process or the exercise process by a computer, the exercise route can be conveniently analyzed by the application software, and the exercise program is summarized by the user, and the exercise program.

However, existing physical training monitoring techniques and equipment suffer from a number of disadvantages:

The prior equipment monitors single data, is difficult to comprehensively reflect the physical performance state of a trainer, the heart rate monitoring equipment can only provide heart rate data, can not reflect other important physical performance indexes such as muscle strength, joint activity degree, physical flexibility and the like, and the pedometer and the sports watch can record the information such as the step number, the movement track and the like, but cannot effectively monitor the physical function changes of the trainer, such as the muscle fatigue degree, the dynamic change of a cardiovascular system and the like, and can not monitor the stress condition and fatigue accumulation of the muscle when the strength training is carried out, so that a coach and the trainer are difficult to accurately judge whether the training strength is proper or not and whether the risk of sports injury exists or not;

The prior art often cannot provide customized training advice according to individual differences, physical quality, moving targets and health conditions of each person are different, and a personalized training proposal is needed, but most of current monitoring equipment and systems adopt universal standards and algorithms, the individual differences cannot be fully considered, a novice and a professional athlete who first involves sports are quite different in physical energy basis and training requirements, the same monitoring equipment and training advice are obviously used, the respective requirements cannot be obviously met, the novice is injured due to overlarge training strength, and the professional athlete is unable to improve the performance due to insufficient training strength;

The existing equipment is lack of effective linkage, data integration is difficult, heart rate monitoring equipment, pedometers, sports watches and the like are usually independently operated, data between the heart rate monitoring equipment, the pedometers and the sports watches cannot be shared and integrated in real time for analysis, so that a trainer and a trainer need to check the data of different equipment respectively, comprehensive and comprehensive knowledge on physical stamina states of the trainer are difficult to form, scientific and reasonable decisions are difficult to make due to the lack of support of multidimensional data when a training plan is prepared, and the data formats and transmission protocols of different equipment are possibly different, so that the difficulty of data integration is further increased, and intelligent and efficient development of physical training monitoring is hindered.

Disclosure of Invention

The invention aims to overcome the defects of the existing physical training monitoring technology and provides an intelligent physical training guarantee monitoring system. The system aims at realizing omnibearing and accurate monitoring of physical training, deeply analyzing the physical state of a trainer by integrating multidimensional data, and generating a personalized training scheme according to individual differences, thereby effectively improving the training effect, reducing the risk of sports injury and guaranteeing the health and safety of the trainer.

The aim of the invention can be achieved by the following technical scheme:

an intelligent physical training support monitoring system, comprising:

The multidimensional data acquisition module is used for acquiring physiological data, motion data and environmental data of a trainer;

The data transmission module is used for transmitting the acquired data to the data analysis and processing module;

The data analysis and processing module is used for analyzing and processing the transmitted data and evaluating the physical state of a trainer;

the training scheme generation module is used for generating a personalized physical training scheme according to the physical state evaluation result and individual information of a trainer;

and the user interaction module is used for interacting the trainer with the system, displaying training data and training schemes and receiving feedback information of the trainer.

As a further aspect of the present invention, the multi-dimensional data acquisition module includes:

The blood pressure sensor is used for analyzing and obtaining systolic pressure, diastolic pressure and mean arterial pressure by measuring pulse wave signals when the pressure in the cuff changes based on an oscillometric method, the blood oxygen sensor is used for measuring the absorption difference of hemoglobin to light with different wavelengths by using infrared and red technologies so as to realize accurate monitoring of the blood oxygen saturation, the body temperature sensor is used for quickly and accurately measuring the body surface temperature of a trainer by adopting a thermistor or infrared sensing technology, and the myoelectric sensor is used for capturing weak electric signals generated when muscles shrink by electrodes attached on skin so as to analyze the activity state and fatigue degree of the muscles;

The system comprises a motion data acquisition unit, a GPS module, a motion data acquisition unit and a control unit, wherein the motion data acquisition unit comprises an acceleration sensor, a gyroscope sensor and a GPS module, the acceleration sensor can detect acceleration changes of a trainer in a three-dimensional space so as to identify the direction, the speed and the force of motion;

The environment data acquisition unit is provided with a temperature and humidity sensor and an air pressure sensor, the temperature and humidity sensor can monitor the temperature and relative humidity of the training environment in real time, so that a trainer can know the environment comfort level and the potential influence on the body, the air pressure sensor is used for measuring the environment air pressure, and the influence of the air pressure change on physical ability can be evaluated in an auxiliary mode under the condition of training at different altitudes.

The invention further provides a scheme that the data transmission module adopts one or more communication technologies of Bluetooth, wi-Fi and 5G to realize rapid and stable data transmission, the Bluetooth technology is suitable for short-distance data transmission and comprises the step of transmitting data acquired by a wearable device to a nearby mobile terminal, the Wi-Fi technology provides higher data transmission rate and larger coverage range and comprises the step of data transmission in indoor training places or areas covered by networks, and the 5G can meet the real-time transmission requirement of a large amount of data and is suitable for scenes with higher requirements on data transmission timeliness, such as live broadcast training data in real time or remote medical monitoring.

The training system comprises a data analysis and processing module, a training module and a training module, wherein the data analysis and processing module is used for carrying out deep analysis on acquired data by using a machine learning algorithm and a data mining technology, comprehensively considering physiological data, exercise data and environmental data of a training person by establishing a physical ability assessment model, assessing physical ability states of the training person including but not limited to fatigue degree, exercise risk, training effect, for example, analyzing data such as heart rate variability, electromyographic signal characteristics and the like by using the machine learning algorithm, accurately judging the fatigue degree of the training person, and assessing exercise risk by mining rules in the exercise data and combining environmental factors, for example, when the training person moves in a high-temperature and high-humidity environment, and predicting the possibility of heatstroke according to physical indexes and exercise intensity of the training person.

As a further scheme of the invention, the training scheme generating module combines the physical state evaluation result of a trainer, training targets (such as muscle increasing, fat reducing, endurance improving and the like), physical conditions (age, sex, physical basic diseases and the like) and applies an optimization algorithm to generate a personalized physical training scheme, wherein the scheme comprises training items, training intensity, training frequency and rest time content, for example, for a young healthy trainer aiming at improving endurance, the system can generate three long running exercises per week, each training duration is 45-60 minutes, the intensity is kept between 70-85% of the maximum heart rate, the rest time and the training scheme of recovery measures are reasonably arranged after each training, and for a middle-aged trainer aiming at reducing the fat, the system can avoid arranging a plurality of training items with higher knee pressure, such as long running or high-intensity jumping exercises, and recommends a plurality of low-impact aerobic exercises, such as swimming and riding bicycles, and proper amount of training, and reasonably adjusts the intensity and the frequency according to the physical recovery capacity.

The intelligent display screen can be arranged at a training place such as a gymnasium and a training base to display training data and real-time training guidance information in an intuitive and clear mode, the display screen can display heart rate and movement speed key data of a trainer in real time in the training process, the trainer can be reminded of timely adjusting training intensity or action standard according to preset standards and training schemes, meanwhile, the user interaction module also has a feedback function, the trainer can feed back the experience and encountered problems in the training process to the system through the module, and the system optimizes and adjusts the training scheme according to the feedback.

The invention has the beneficial effects that:

In the comprehensiveness of data monitoring, the multidimensional data acquisition module can comprehensively acquire physiological data, exercise data and environmental data of a trainer, wherein the physiological data comprises heart rate, blood pressure, blood oxygen saturation, body temperature, muscle electric activity and the like, the exercise data comprises acceleration, angular velocity, exercise track, speed, distance and the like, the environmental data relates to temperature and humidity, air pressure and the like of a training environment, the comprehensive data acquisition can enable a coach and the trainer to comprehensively know the physical state of the trainer, richer and more accurate data support is provided for scientific training, for example, when endurance training is carried out under a high-temperature and high-humidity environment, the heart rate, the body temperature, the blood oxygen saturation and the environmental temperature and humidity data of the trainer are combined, the physical burden and the heatstroke risk of the trainer can be estimated more accurately, the training intensity and the rest time are adjusted timely, and the safety and the effectiveness of the training are ensured;

According to the invention, a customized training scheme can be provided according to individual differences, a training scheme generation module comprehensively considers factors such as physical performance evaluation results, training targets and physical conditions of a trainer, an optimization algorithm is used for generating a personalized physical training scheme, different trainers can obtain a training scheme suitable for themselves no matter whether the training scheme is pursued by professional athletes for performance breakthrough or ordinary body-building lovers are aiming at health or people with physical diseases needing special training arrangement, for the trainers with heart disease history, when the system makes the training scheme, the upper limit of exercise intensity and heart rate can be strictly controlled to avoid heart problems caused by excessive exercise, and for the professional sprint runner, the system can design contents such as targeted strength training, explosive training, starting technical training and the like according to muscle strength, the explosive training, the response speed and the like of the professional sprint runner, so as to effectively improve the training effect and meet the personalized requirements of different trainers;

The system realizes interconnection and intercommunication of all parts of data, is convenient for unified management and analysis, the data acquired by the multidimensional data acquisition module is quickly and stably transmitted to the data analysis and processing module through the data transmission module, the data is deeply analyzed to provide basis for the training scheme generation module, meanwhile, a trainer can conveniently check and feed back the data through the user interaction module, the problem that the data of the existing equipment are scattered and difficult to integrate is avoided through the integrated management and analysis of the data, a trainer can comprehensively check all the data and the training scheme of the trainer on a platform, the training progress and effect are known in real time, the training strategy is adjusted in time, the trainer can also more intuitively know own training condition, the motivation and initiative of training are enhanced, and the intelligent and efficient development of physical training is promoted.

Drawings

The invention is further described below with reference to the accompanying drawings.

FIG. 1 is a schematic block diagram of a physical training intelligent assurance monitoring system of the present invention.

Detailed Description

The technical solutions of the embodiments of the present invention will be clearly and completely described below in conjunction with the embodiments of the present invention, and it is apparent that the described embodiments are only some embodiments of the present invention, not all embodiments. All other embodiments, which can be made by those skilled in the art based on the embodiments of the invention without making any inventive effort, are intended to be within the scope of the invention.

Example 1:

referring to fig. 1, the present embodiment is a physical training intelligent guarantee monitoring system, including:

The multidimensional data acquisition module comprises:

The data transmission module adopts one or more communication technologies of Bluetooth, wi-Fi and 5G to realize rapid and stable data transmission, the Bluetooth technology is suitable for short-distance data transmission and comprises the step of transmitting data acquired by the wearable equipment to a nearby mobile terminal, the Wi-Fi technology provides higher data transmission rate and larger coverage range and comprises the step of data transmission in indoor training places or areas with network coverage, and the 5G can meet the real-time transmission requirement of a large amount of data and is suitable for scenes with higher requirements on data transmission timeliness, such as live broadcast training data in real time or remote medical monitoring.

The data analysis and processing module utilizes a machine learning algorithm and a data mining technology to carry out deep analysis on the acquired data, comprehensively considers physiological data, motion data and environmental data of a trainer by establishing a physical ability assessment model, assesses physical ability states of the trainer, including but not limited to fatigue degree, motion risk and training effect, for example, analyzes data such as heart rate variability, electromyographic signal characteristics and the like by utilizing the machine learning algorithm, accurately judges the fatigue degree of the trainer, assesses the motion risk by mining rules in the motion data and combining environmental factors, and predicts the possibility of heatstroke according to physical indexes and motion strength of the trainer when the trainer moves in a high-temperature high-humidity environment.

The training scheme generating module combines the physical state evaluation result of a trainer, training targets (such as muscle increasing, fat reducing, endurance improving and the like), physical conditions (age, sex, body basic diseases and the like) and applies an optimization algorithm to generate a personalized physical training scheme, wherein the scheme comprises training items, training intensity, training frequency and rest time content, for example, for a young healthy trainer aiming at improving endurance, the system can generate training schemes which can perform long running three times per week, the duration of each training is 45-60 minutes, the intensity is kept between 70% -85% of the maximum heart rate, and the training schemes of rest time and recovery measures after each training are reasonably arranged, and for a middle-aged trainer with old knees and the aim of fat reducing, the system can avoid arranging too many training items with higher knee pressure, such as long running or high-intensity jumping training, and then recommend aerobic exercises with low impact, such as swimming and riding, and proper strength training, and reasonably adjust the training intensity and frequency according to the recovery physical capacity.

The intelligent display screen can be arranged at a training place, such as a gymnasium, a training base and the like, and can display training data and real-time training guidance information in an intuitive and clear mode, in the training process, the display screen can display heart rate and movement speed key data of a trainer in real time, timely remind the trainer to adjust training intensity or action standard according to preset standards and training schemes, meanwhile, the user interaction module also has a feedback function, and the trainer can feed back feeling and encountered problems in the training process to the system through the module, and the system optimizes and adjusts the training scheme according to the feedback.

Example 2

The operation of the physical training intelligent guarantee monitoring system mainly comprises several key links of data acquisition, transmission, analysis and processing and training scheme generation and feedback, and the operation logic and flow are as follows:

s1, in a data acquisition stage, various sensors in a multidimensional data acquisition module acquire physiological data, motion data and environmental data of a trainer in real time according to preset sampling frequency, a heart rate sensor of a physiological data acquisition unit acquires heart rate data at a frequency of 100-200 times per second, a blood pressure sensor measures blood pressure every 3-5 minutes, a blood oxygen sensor and a body temperature sensor continuously monitor in real time, a myoelectric sensor dynamically adjusts the sampling frequency according to the change of muscle activity, the sampling frequency is up to 1000 times per second, an acceleration sensor and a gyroscope sensor of the motion data acquisition unit acquire data at a frequency of 50-100 times per second, a GPS module updates position information every second, and a temperature and humidity sensor and a gas pressure sensor of the environmental data acquisition unit acquire data every 1-2 minutes;

s2, the collected data are transmitted through a data transmission module, the Bluetooth module transmits the data to a nearby mobile terminal, and the mobile terminal transmits the data to a cloud server through a Wi-Fi or mobile data network;

S3, after the data analysis and processing module acquires the transmitted data from the cloud server, preprocessing the data, including data cleaning, denoising, normalization and the like, denoising the heart rate data by using a moving average filtering algorithm, and removing noise generated by factors such as motion interference and the like; supplementing the missing data through a data interpolation algorithm, then performing deep analysis on the preprocessed data through a machine learning algorithm and a data mining technology, classifying electromyographic signals through a Support Vector Machine (SVM) algorithm, and judging the activity state and fatigue degree of muscles;

S4, a training scheme generating module generates a personalized physical training scheme by using an optimization algorithm according to the physical performance state evaluation result obtained by the data analysis and processing module and individual information such as training targets, physical conditions and the like input by a trainer, taking a 25-year-old male trainer with muscle augmentation as a target as an example, and generating a training scheme which comprises three times of force training per week according to the muscle strength, body fat rate, endurance and other energy indexes of the male trainer, combining the principle and experience of muscle augmentation training, wherein each training comprises training of main muscle groups such as chest, back and legs, each muscle group carries out 3-4 groups of training, each group carries out 8-12 repeated actions, the training strength is controlled to be 70-85% of the maximum load, and rest time and diet proposal after each training are reasonably arranged;

S5, the user interaction module displays the training scheme to a trainer, the trainer can feed back information such as feeling, encountered problems and the like in the training process to the system through a mobile application program or an intelligent display screen in the training process or after the training is finished, and the system can optimize and adjust the training scheme after receiving the feedback information to form a closed-loop intelligent guarantee monitoring system.

Example 3

Taking daily training of a professional track and field team as an example, the practical application of the intelligent guarantee monitoring system for the physical training is described:

before training, athletes of the track and field team wear intelligent sports equipment integrated with various sensors, including intelligent bracelets (built-in heart rate sensors, blood oxygen sensors, acceleration sensors and gyroscopic sensors), intelligent running shoes (built-in pressure sensors and acceleration sensors) and portable environment data acquisition equipment, and a coach inputs individualized training targets for each athlete through a user interaction module of the system, such as improving the sprint speed, enhancing the long-distance running endurance and the like, and physical conditions of the athlete, such as information of age, gender, past injury conditions and the like;

In the training process, a multidimensional data acquisition module acquires various data of athletes in real time, taking a sprint athlete as an example, an intelligent bracelet monitors the heart rate of the sprint athlete in real time, the heart rate rapidly rises in the starting and sprinting stages, and a system judges whether the exercise intensity of the athlete reaches an optimal training interval or not by analyzing heart rate changes; the system comprises an acceleration sensor, a gyroscope sensor, a pressure sensor, a training field temperature and humidity and air pressure monitoring device, wherein the acceleration sensor and the gyroscope sensor capture data such as starting postures of an athlete, stride in the running process, step frequency, swing postures of a body and the like, provide basis for analyzing running technology of the athlete, the pressure sensor of the intelligent running shoe monitors the ground pressure distribution of two feet of the athlete during running, helps a coach to judge whether the stress of the athlete is uniform or not, and whether the erroneous running posture causes the injury risk to be increased or not;

the data are transmitted to the data analysis and processing terminal in real time through the data transmission module, the system analyzes the acquired data by using a machine learning algorithm, the physical state of the athlete is estimated, including fatigue degree, athletic performance and the like, for example, the muscle fatigue degree of the athlete is judged by analyzing the electromyographic signals, when the fatigue degree of a certain muscle is found to reach a certain threshold value, the system gives an early warning, and a coach is prompted to properly reduce the training strength of the muscle at the position, so that the injury caused by excessive training is avoided;

the training scheme generation module generates an individualized training adjustment scheme for the athlete according to the physical state evaluation result and the training target of the athlete, and for the sprint athlete, if the system analysis finds that the explosion force of the sprint athlete in the initial stage is insufficient, the training scheme may increase some training items aiming at the initial explosion force, such as squat jump, frog jump and the like, and simultaneously adjusts the training intensity and frequency to improve the training effect;

Training data and training scheme can be looked over through user interaction module to coach and sportsman, and sportsman is after the training finishes, and the impression of training in-process is fed back through mobile application program, if certain training item feels that the degree of difficulty is too big or certain position appears slight uncomfortable etc. the system is according to these feedback information, further optimizes training scheme, provides more science, more reasonable instruction for next training, can train intelligent guarantee monitoring system through using the body, and sportsmen of this track and field team can train more scientifically, has effectively improved training effect, has reduced the risk of sports injury simultaneously, has obtained better achievement in subsequent match.

In the description of the present specification, the descriptions of the terms "one embodiment," "example," "specific example," and the like, mean that a particular feature, structure, material, or characteristic described in connection with the embodiment or example is included in at least one embodiment or example of the present invention. In this specification, schematic representations of the above terms do not necessarily refer to the same embodiments or examples. Furthermore, the particular features, structures, materials, or characteristics described may be combined in any suitable manner in any one or more embodiments or examples.

The foregoing is merely illustrative and explanatory of the invention, as various modifications and additions may be made to the particular embodiments described, or in a similar manner, by those skilled in the art, without departing from the scope of the invention or exceeding the scope of the invention as defined in the claims.

Claims

1. An intelligent physical training support monitoring system, comprising:

2. The physical fitness training intelligent assurance monitoring system of claim 1, wherein the multi-dimensional data acquisition module comprises:

3. The physical training intelligent guarantee monitoring system according to claim 1 is characterized in that the data transmission module adopts one or more communication technologies of Bluetooth, wi-Fi and 5G to realize rapid and stable data transmission, the Bluetooth technology is suitable for short-distance data transmission and comprises the step of transmitting data acquired by a wearable device to a nearby mobile terminal, the Wi-Fi technology provides higher data transmission rate and larger coverage range and comprises the step of data transmission in indoor training places or areas covered by networks, and the 5G can meet the real-time transmission requirement of a large amount of data and is suitable for scenes with higher requirements on data transmission timeliness, including the step of live broadcasting training data in real time or the step of remote medical monitoring.

4. The physical fitness training intelligent guarantee monitoring system according to claim 1, wherein the data analysis and processing module uses a machine learning algorithm and a data mining technology to perform deep analysis on the collected data, and by building a physical fitness assessment model, physical fitness state of a trainer including but not limited to fatigue degree, exercise risk and training effect is assessed by comprehensively considering physiological data, exercise data and environmental data of the trainer.

5. The intelligent physical training support monitoring system according to claim 1, wherein the training scheme generating module combines the physical state evaluation result, the training target and the physical condition of the trainer to generate a personalized physical training scheme by using an optimization algorithm, and the scheme comprises training items, training intensity, training frequency and rest time content.

6. The intelligent physical training guarantee monitoring system according to claim 1, wherein the user interaction module comprises a mobile application program and an intelligent display screen, the mobile application program is supported to run on mobile equipment of a smart phone and a tablet personal computer, a trainer can check own training data and training schemes through the mobile phone at any time and any place, can conveniently record own diet and sleep life information so as to enable the system to evaluate physical performance states more comprehensively, the intelligent display screen can be arranged at a training place to display the training data and real-time training guidance information in an intuitive and clear mode, the display screen can display heart rate and movement speed key data of the trainer in real time in the training process, and timely reminds the trainer to adjust training intensity or action specifications according to preset standards and training schemes, meanwhile, the user interaction module further has a feedback function, and the trainer can feed back the experience and encountered problems in the training process to the system through the module, and the system optimizes and adjusts the training schemes according to the feedback.