Long-distance exercise training load analysis system

Abstract

The invention belongs to the technical field of exercise data analysis, and discloses a long-distance exercise training load analysis system and analysis method. The system comprises an athlete archive management module, a training unit setting module, a training plan making module, an actual training load input module, a health exercise management module, a training load statistics module, a curriculum load control module and an exercise training online service module. According to the method, the competitive state of long-distance athletes or the exercise load bearing state of personal fitness exercises can be reflected more objectively, practical reference and implementation effective control are provided for scientific exercise training or fitness health management, and the method haswide popularization value and commercial development prospects.According to the invention, the actual exercise load bearing state of a long-distance athlete or enthusiast can be tracked and analyzed,and over-training is warned; the plug-in visual online long-distance exercise training and functional training guidance function not only provides intelligence support for competitive exercise training, but also provides science and technology service for exercise protection, and market value is developed.

Description

technical field [0001] The invention belongs to the technical field of sports data analysis, in particular to a long-distance sports training load analysis system. Background technique [0002] At present, with the rapid development of computer hardware and software technology and networks, massive sports training data can be collected in real time by using cameras, sensors and wireless sensor networks. In the face of massive sports training data, traditional data processing methods are facing new severe challenges. The data characteristics of sports training big data such as large quantities, diversification, rapidity, and low value density make traditional data processing methods and tools only Can look at the "data" sigh. How to effectively construct mathematical models and tools suitable for sports data, and truly transform massive sports training data into valuable information is an urgent problem to be solved in the field of sports load analysis. Exercise load refers...

AI Technical Summary

Problems solved by technology

On the one hand, this statistical analysis method cannot truly reflect the state of exercise load for a period of time, because the physical function state changes in different exercise training stages, and the simple physical training load measurement cannot truly reflect the effect of exercise training. The concept of exercise load process analysis realizes the synergistic analysis of physical training load and physiological load to warn of overtraining and sports injuries; Exercise level or exercise ability, because the physiological and biochemical indicators mainly reflect the physical function of the participant to complete the exercise from the self-organization state, and cannot reflect the strength of the participant participating in the exercise, that is, the amount of exercise completed and the training intensity achieved (goal performance), and because the purpose of training is to maintain and improve sports performance, for fitness athletes, it mainly reflects the state of physical function indirectly through the level of completion of the sport, so as to realize the health management and health promotion of long-distance enthusiasts

[0004] Through the above analysis, the problems and defects of the existing technology are: the analysis results of the existing statistical analysis method of exercise load are inaccurate, and cannot reflect the generation and development process of exercise fatigue in real time, and cannot carry out early warning of overtraining and sports injury in time

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