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作 者:张梅[1] 荣昆 张啸 Zhang Mei;Rong Kun;Zhang Xiao(School of Electrical and Information Engineering,Anhui University of Science and Technology,Huainan 232001,China)
机构地区:[1]安徽理工大学电气与信息工程学院,安徽淮南232001
出 处:《煤矿机械》2020年第12期172-175,共4页Coal Mine Machinery
基 金:国家自然科学基金资助项目(51874010);淮北矿业集团科研项目(HX2019052530)。
摘 要:针对监测煤矿井下人员安全问题,设计了一种基于物联网的煤矿井下人员跟踪管理系统,该系统可对煤矿井下人员进行精度定位并能实时监测其身体状况和周围环境。该系统由移动节点、信标节点、集中器节点和监控平台组成,利用改进的接收信号强度指示器(RSSI)定位算法进行人员定位,将无线传感网络和井下工业以太网相结合进行数据传输,可实时显示煤矿井下人员位置、身体状况、周围环境、下井时间等信息,还具有实时报警、远程控制等功能。实验结果表明,该系统实现简单、计算量小、定位精度高,适用于煤矿井下人员安全监测管理。Aiming at the problem of monitoring the safety of workers in underground coal mine,designed a personnel tracking management system for underground coal mine based on internet of things,which can accurately locate underground coal mine workers and monitor their physical condition and surrounding environment in real time.The system is composed of mobile nodes,beacon nodes,concentrator nodes and monitoring platform.The improved received signal strength indicator(RSSI)positioning algorithm was used to locate personnel and the wireless sensor network was combined with the underground industrial Ethernet to transmit data.It can display the information such as the position,physical condition,surrounding environment and downhole time of personnel in underground coal mine in real time,and has the functions of real-time alarm and remote control.The experimental results show that the system is simple to implement,has less computation and high positioning accuracy,which is applicable to the safety monitoring and management of personnel in underground coal mine.
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