基于无线传感器网络的健身训练数据实时采集方法研究  

Research on Real-time Data Acquisition Methodof Fitness Training Based on Wireless Sensor Network

作　　者：杨业双 YANG Ye-Shuang(Department of Social Sports,Anhui Professional&Technical Institute of Athletics,Hefei 230051,China)

机构地区：[1]安徽体育运动职业技术学院社会体育系,安徽合肥230051

出　　处：《兰州文理学院学报（自然科学版）》2022年第4期53-58,共6页Journal of Lanzhou University of Arts and Science(Natural Sciences)

摘　　要：研究基于无线传感器网络的健身训练数据实时采集方法,提升数据采集覆盖度及完整性.通过并联多个温度传感器采集训练人员的体温数据,将脉搏传感器放置在人体耳垂处采集心率数据,通过定时和事件组合方式触发各传感器节点,应用Node433^(TM)通信协议传输实时采集训练数据.引入晶振漂移阵痛消除机制,解决各传感器节点的晶振漂移现象,实现健身训练数据优质采集.实验结果表明:该数据采集方法所需传感器节点数少、覆盖度高,可消除训练数据采集时的网络漂移偏差,采集的健身训练数据更完整,且适用于环境较恶劣的条件.The real-time data acquisition method of fitness training based on wireless sensor network is studied to improve the coverage and integrity of data acquisition.The body temperature data of the trainer is collected by paralleling multiple temperature sensors,and the pulse sensor is placed in the human earlobe to collect heart rate data.The sensor nodes are triggered by the combination of timing and events,and the training data is transmitted in real time through Node433^(TM) communication protocol.By introducing the crystal vibration drift pain elimination mechanism,the crystal vibration drift phenomenon of each sensor node is solved,and the high-quality collection of fitness training data is realized.The experimental results show that the method needs less sensor nodes and has high coverage,which can eliminate the network drift deviation when collecting training data.The collected fitness training data is more complete and more suitable for harsh environments.

关 键 词：无线传感器网络 健身训练 实时采集 温度传感器 心率数据 嵌入式网关 

分 类 号：TP391[自动化与计算机技术—计算机应用技术]