| 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。 |
| 关键词: 精准定位 井下 协同感知 多源 物联网 |
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中图分类号: TP76
文献标识码: A
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| 基金项目: 四川水利职业技术学院科研项目(KY2020-30)资助. |
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| Research on Mine Precise Positioning Algorithm based on Multi-Source Collaborative Sensing of the Internet of Things |
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WANG Yuning, ZHOU Shaojun, LIU Xiaoxia
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(Department of Information Engineering, Sichuan Water Conservancy Vocational College, Chongzhou 611231, China )
green_apple2001@163.com; 25195093@qq.com; 574670219@qq.com
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| 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. |
| Keywords: precise positioning mine collaborative sensing multi-source Internet of Things |
