基于ZigBee的井下人员精确定位方案及实现

摘要

A ZigBee-based positioning scheme for underground personnel is proposed according to the characteristics of one-dimensional linear space of the mine tunnel and the operation habit of the underground staff,for the traditional RFID positioning technology is hard to accurately locate the underground staff in mines.In the scheme the mine tunnel is virtually divided into the areas of near base stations and remote base stations.In near base station,the RSSI algorithm is used and the Gaussian filter model is employed to filter the power value received to achieve accurate positioning； In remote base station,the V-T algorithm is used for positioning.Experimental results show that this algorithm achieves the maximum absolute errors of 3M in near base stations area and 5M in remote base stations area.%针对矿井采用的传统RFID定位技术不能实现井下人员精确定位的问题,并根据矿井巷道的一维线性空间特点和井下人员的作业习惯,提出一套基于ZigBee的井下人员定位方案.方案将矿井巷道虚拟地划分为近基站区域和远基站区域,近基站区域采用RSSI定位算法,并利用高斯滤波模型对接收功率值滤波,实现精确定位；远基站区域采用V-T (Velocity-Time)算法进行定位.实验表明算法在近基站区域测量最大绝对误差为3m,远基站区域最大绝对误差为5m.