School of Digital Economics, Dingxi Vocational and Technical College
Second Central Primary School, Keketiereke Township, Pishan County

针对煤矿井下环境的特殊性,改进优化了一种适合用于井下人员的定位算法,并通过仿真软件测试了算法的准确度。定位过程以获取固定在当前目标基站所在环境参数来判断适合使用何种定位算法,在不同情况下使用最优的定位算法提高定位精度,并通过ZigBee无线网络自组网功能将所得数据上传,在后台使用Matlab仿真软件得出定位误差。仿真结果显示,在获取任意固定目标基站位置信息时都能比较精确的计算出移动节点的位置坐标,并且仿真的平均误差控制在0.41~0.85m,相比于传统及现有的井下人员定位算法,精度有较大的提高。

This article mainly optimizes a positioning algorithm for underground personnel based on the particularity of theunderground environment, and tests the accuracy of the algorithm through simulation. During the positioning process, it isnecessary to obtain the environmental parameters of the current target base station to determine which positioning algorithmis suitable for use in order to improve the positioning accuracy using the optimal positioning algorithm in different situations.The obtained data is uploaded through the ZigBee wireless network ad-hoc network function, and the positioning error is simulated using Matlab in the background, The simulation results show that when obtaining the location information of any fixedtarget base station, the position coordinates of the mobile node can be accurately calculated, and the average error of the simulation is controlled between 0. 41 meters and 0. 85 meters, which greatly improves the positioning accuracy compared to traditional positioning algorithms and existing underground personnel positioning algorithms.