摘要
构建基于大数据挖掘和物联网的智能体育健康管理系统,向居民推荐科学的、个性化的体育健身方式,有助于居民避免运动损伤和预防疾病,有利于政府实时把控居民的体质状况。本文分析了大数据挖掘和物联网在构建智能体育健康管理系统中的应用和优势,提出该系统有四个功能:基本信息管理功能、健康状况评估功能、运动损伤和疾病预测功能、科学健身方式推荐功能。该系统由用户层、物联网层、通信层、网络层、功能层、规则层、数据层等构成。
The intelligent sports-health management system based on big data mining and Internet of Things is helpful to evaluate residents'sports health behavior,recommend scientific and personalized sports fitness methods to residents,and avoid sports injuries and prevent diseases.It can help the government to control residents'physical health in real time and build a healthy China in an all-round way.This paper analyzed the application methods and advantages of big data mining and Internet of Things in the construction of intelligent sport-health management system.The system should include basic information management function,health assessment function,sports injury and disease prediction function and scientific fitness mode recommendation function.The system should be composed of user layer,Internet of Things layer,communication layer,network layer,function layer,rule layer and data layer.
作者
邓峰
樊永锋
DENG Feng;FAN Yongfeng(College of Physical Education,Zhengzhou University,Zhengzhou Henan 450044)
出处
《河南科技》
2021年第7期14-17,共4页
Henan Science and Technology
基金
河南省科技攻关项目“基于数据挖掘的体育健康行为监测和评估的智能化信息系统构建”。
关键词
大数据挖掘
物联网
体育健康
智能管理系统
big data mining
Internet of Things
sports health
intelligent management system