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作 者:杨昕 安晓静 YANG Xin;AN Xiao-jing(School of Electrical and Electronic Engineering,Shijiazhuang Tiedao University,Shijiazhuang 050043,Hebei,China)
机构地区:[1]石家庄铁道大学电气与电子工程学院
出 处:《承德石油高等专科学校学报》2019年第5期54-58,共5页Journal of Chengde Petroleum College
摘 要:针对当前高速铁路雨棚振动响应监测系统存在价格昂贵、耗费大量人力物力、雨棚上铺设线路困难等问题,设计了一种远距离智能化的无线高铁雨棚振动监测系统,以ARM系列的树莓派、GPRS通信模块、阿里云服务器等模块组成数据监测系统,实现高速铁路环境下对高铁雨棚振动响应参数的自动采集、存储和无线网络传输,并在阿里云服务器端提取数据加以分析。实验结果表明,该系统可以对自然风状态下、高速列车过站时风致振动响应下雨棚的振动响应变化进行全方位、多角度的实时监测。Problems exist in the current high-speed railway canopy vibration response data monitoring system,such as high price,costly both in manpower and material resources,difficult to lay the canopy.In this experiment,a long distance intelligent wireless high-speed railway canopy vibration monitoring system was designed.The data monitoring system was composed of ARM series raspberry pi,GPRS communication module,ECS(Elastic Compute Service),etc.to realize high-speed rail vibration in high-speed railway environment.In response to the automatic collection,storage,and wireless network transmission of parameters,data is extracted and analyzed on the ECS.The experimental results show that the system can perform real-time and multi-angle real-time monitoring of response of canopy to wind-induced vibration under natural wind conditions and high-speed trains passing the station.
分 类 号:U291[交通运输工程—交通运输规划与管理]
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