摘要
在洪水、地震等复杂环境下,大规模受困人员的人体生命体征信号不稳。脉搏、心跳等特征会大幅减缓,造成基于射频控制的生命体征监测系统对大规模人群的测量精度较差。本文提出一种基于传感云计算技术的大规模、远距离生命体征测量系统的设计方法。系统采用嵌入式处理器LPC2148,通过射频采集生命体征回波信息,运用强大的云计算模型,形成一个大范围的信号处理环境。通过实验测试,该系统可以在复杂区域的远程环境中,对超过20个被困人员的生命体征信号进行准确地采集,采集的精度误差不超过25%。
In complex environments such as flood,earthquake,massive personnel trapped human vital signs of instability.Features such as pulse,heartbeat will slow sharply,have vital signs monitoring system based on radio frequency control for mass measurement accuracy of the population is poor.Paper presents a mass of sensor-based cloud computing technology,design method for remote vital signs measurement systems.Systems with embedded processors LPC2148 through RF echo information collecting vital signs,the use of powerful cloud computing model,resulting in a wide range of signal processing environment.Through experimental tests,the system can be complex in a remote environment in the region,more than 20 trapped people to accurately capture the vital signs,collection of precision error does not exceed 25%.
出处
《科技通报》
北大核心
2013年第4期76-78,共3页
Bulletin of Science and Technology
关键词
云计算
生命体征
干扰环境
cloud computing
vital signs
interference environment
