基于物联网多源协同感知井下精准定位算法研究

Research on Mine Precise Positioning Algorithm based on Multi-Source Collaborative Sensing of the Internet of Things

针对单一感知技术对矿井井下人员或设备定位存在的不足,本文提出一种基于物联网多源协同感知的矿井井下精准定位算法。首先对物联网井下感知定位系统框架进行设计;然后从多源多视角定位原理出发,提出基于物联网多源协同感知的矿井井下精准定位算法;最后将本文算法与参考文献算法进行实验和对比分析,得到各算法的定位置信概率与误差的比较曲线。通过实验和对比分析可知,本文算法具有一定的实用性和先进性。

This paper proposes a mine precise positioning algorithm based on multi-source collaborative sensing of the Internet of Things(IoT),aiming to improve single sensing technology for locating personnel or equipment in underground mines.First,a framework of IoT mine sensing and a positioning system are designed.Then,a mine precise positioning algorithm based on the multi-source collaborative sensing of the IoT is proposed from the principle of multi-source and multi-view positioning.Finally,experiments and comparative analysis are carried out between the proposed algorithm and the reference algorithm,and the comparison curve of probability and error of each algorithm at a fixed position is obtained.The proposed algorithm proves to be practical and advanced.