摘要
针对井下工作人员的平时考勤以及发生井下事故时能够对受困人员进行及时有效的定位搜救,提出了一种接收信号强度分区(RSSP)定位算法。RSSP定位算法把井下相邻参考节点间划分为若干分区,根据井下人员(移动节点)所在巷道位置的接收信号及强度情况对其进行定位。此算法比较简单,功耗低。经过MATLAB模拟仿真,得出RSSP算法比经典的RSSI和RFID算法定位精度更高。
A positioning algorithm based on received signal strength partition ( RSSP) was proposed for the daily checking attendance of underground workers and the timely and effective positioning rescue for stranded persons in case of underground accident.In the RSSP algorithm, the spacing between adjacent reference nodes is divided into several partitions, and the positions of underground workers ( moving nodes) are determined according to the re-ceived signal and the corresponding strength in the roadway.The algorithm is relatively simple, with low power con-sumption.Through simulation by MATLAB, it showed that the positioning precision of RSSP algorithm was higher than that of traditional RSSI and RFID algorithm.
出处
《中国安全生产科学技术》
CAS
CSCD
北大核心
2015年第9期70-75,共6页
Journal of Safety Science and Technology
基金
湖南省科技厅重点研发项目(2015SK2005)
江西省科技厅科技项目(20121BBG70065)
江西省教育厅科技项目(GJJ12667)
南华大学博士基金项目(2013XQD12)
湖南省教育厅自然科学研究重点项目(15A161)
关键词
矿山
节点间分区
信号强度分级
定位
无线传感器网络
mine
partition between nodes
signal strength grading
positioning
wireless sensor network