📦 云计算下运动员生理信号数据智能采集系统设计 - 免费下载

为解决传统运动员生理信号采集系统续航时间短、上机位存储容量受限等问题,设计云计算环境下的新型运动员生理信号数据智能采集系统。通过数据模拟采集电路,为生理信号控制器、智能采集单片机分配合理的电平条件,实现新型采集系统的硬件运行环境搭建,解决系统续航时间不持久的问题。在此基础上,通过搭建云计算区块链采集架构的方式,识别处于对点位置的运动员生理信号,并达成数据智能协议栈间的射频连接,实现新型采集系统的软件运行环境搭建,解决上机位存储容量较低的问题。结合系统的软、硬件运行条件,完成云计算环境下的运动员生理信号数据智能采集系统设计。通过两组对比实验证明在实际运行过程中,新型采集系统确实比传统系统具备更高的应用价值。

In order to solve the problems of short duration and limited storage capacity of traditional athletes'physiological signal acquisition system,a new intelligent data acquisition system of athletes' physiological signal under cloud computing environment was designed.Through data analog acquisition circuit,reasonable level conditions are allocated for physiological signal controller and intelligent acquisition microcontroller,and the hardware operation environment of the new acquisition system is built to solve the problem of the durability of the system.On this basis,through building the cloud computing block chain acquisition architecture,the athletes'physiological signals in the peer position are identified,and the radio frequency connection between the data intelligent protocol stacks is achieved. The software running environment of the new acquisition system is built to solve the problem of low storage capacity of the upper computer.Combining with the software and hardware operating conditions of the system,the design of the intelligent data acquisition system for athletes'physiological signals under cloud computing environment is completed.Through two sets of comparative experiments,it is proved that the new acquisition system has higher application value than the traditional system in the actual operation process.

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