基于物联网多源协同感知井下精准定位算法研究

基于物联网多源协同感知井下精准定位算法研究
作者：王钰宁周绍军刘晓霞
来源：《软件工程》2021年第01期

HSCSB

连杆机会

PONXL 摘要：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。

激光熔覆工艺关键词：精准定位;井下;协同感知;多源;物联网

水垢过滤器

中图分类号：TP76 文献标识码：A

文章编号：2096-1472（2021）-01-35-04

Abstract： 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.

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标签：算法定位感知

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