Shanxi Yitang Coal Industry Co., Ltd.

针对煤矿井下空间狭小且布局复杂,无线信号在传播过程中会遇到大量的障碍物和反射面,导致信号衰减,产生多径效应,严重影响测距和定位的准确性问题,提出基于RSSI数据与LQI滤波的煤矿井下人员双向测距智能定位方法,获取LQI滤波器RSSI值,并结合测距信道参数得到LQI双向测距联合估计参数,将其作为构建井下测距定位模型的输入,以避免信号传播的路径损耗和多径效应导致的定位误差,根据RSSI衰减值计算此时的定位概率密度,从而完成对煤矿井下人员双向测距智能定位。实验结果表明,设计方法的水平、垂直测距定位误差低于0.1m,能够提高煤矿井下人员定位系统的精准性。

In response to the problem of limited space and complex layout of coal mine downhole, wireless signals encounter a large number of obstacles and reflection surfaces during propagation process, resulting in signal attenuation, and producing multipath effects, which seriously affect the accuracy of distance measurement and positioning. Bidirectional distance measurement and intelligent positioning method for coal mine downhole personnel based on RSSI data and LQI wave filtering is proposed. The RSSI value of the LQI wave filter is obtained, and the joint estimation parameters of LQI bidirectional distance measurement are obtained by combining the distance measurement channel parameters. These parameters are used as inputs to construct downhole distance measurement and positioning model to avoid path loss of signal propagation and positioning errors caused by multipath effects. The positioning probability density at this time is calculated according to the RSSI attenuation value, thus completing the bidirectional distance measurement and intelligent positioning of coal mine downhole personnel. The experimental results show that the horizontal and vertical distance measurement and positioning error of the design method are less than 0.1 m, which can improve the accuracy of coal mine downhole personnel positioning system.