改进RSSI加权质心算法在井下人员定位中的应用研究

为提高煤矿井下人员定位的精确性,确保井下人员的快速定位,以实现井下快速救援和日常监督,本文根据无线接入点的关联性,通过接收信号强度值(RSSI)计算参考节点和定位节点的距离,提出基于改进RSSI加权质心算法的井下人员定位技术,消除了传统改进RSSI定位算法中人为因素对路径损耗确定的干扰。根据实际巷道环境进行了基于RSSI加权质心算法和改进RSSI加权质心算法的人员信息定位技术的模拟仿真,结果证明了改进RSSI加权质心算法能够增加井下人员定位的精准可靠性,更加适用于井下定位系统。

Application Research of Improved RSSI Weighted Centroid Algorithm in Downhole Personnel Positioning

In order to improve the accuracy of underground personnel positioning and ensure the rapid positioning of underground personnel to achieve rapid rescue and daily supervision, this paper calculates reference nodes and positioning nodes by receiving signal strength value (RSSI) according to the relevance of wireless access points. The distance is proposed based on the improved RSSI weighted centroid algorithm for downhole personnel positioning technology. Based on the actual roadway environment, the simulation of personnel information location technology based on RSSI weighted centroid algorithm and improved RSSI weighted centroid algorithm is carried out. The results show that the improved RSSI weighted centroid algorithm can increase the accuracy and reliability of downhole personnel positioning, and is more suitable for downhole positioning. system.