基于无人装备的地下金属矿智能开采技术

工程(英文) ›› 2018, Vol. 4 ›› Issue (3) : 381-391.

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工程(英文) ›› 2018, Vol. 4 ›› Issue (3) : 381-391. DOI: 10.1016/j.eng.2018.05.013
研究论文
Research Green Industrial Processes—Review

基于无人装备的地下金属矿智能开采技术

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Intelligent Mining Technology for an Underground Metal Mine Based on Unmanned Equipment

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Abstract

This article analyzes the current research status and development trend of intelligent technologies for underground metal mines in China, where such technologies are under development for use to develop mineral resources in a safe, efficient, and environmentally friendly manner. We analyze and summarize the research status of underground metal mining technology at home and abroad, including some specific examples of equipment, technology, and applications. We introduce the latest equipment and technologies with independent intellectual property rights for unmanned mining, including intelligent and unmanned control technologies for rock-drilling jumbos, down-the-hole (DTH) drills, underground scrapers, underground mining trucks, and underground charging vehicles. Three basic platforms are used for intelligent and unmanned mining: the positioning and navigation platform, information-acquisition and communication platform, and scheduling and control platform. Unmanned equipment was tested in the Fankou Lead-Zinc Mine in China, and industrial tests on the basic platforms of intelligent and unmanned mining were carried out in the mine. The experiment focused on the intelligent scraper, which can achieve autonomous intelligent driving by relying on a wireless communication system, location and navigation system, and data-acquisition system. These industrial experiments indicate that the technology is feasible. The results show that unmanned mining can promote mining technology in China to an intelligent level and can enhance the core competitive ability of China’s mining industry.

Keywords

Underground / Autonomous / Communication / Navigation / Intelligent

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. . Engineering. 2018, 4(3): 381-391 https://doi.org/10.1016/j.eng.2018.05.013

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Acknowledgements

The authors would like to thank several colleagues for their helpful discussions and cooperation on the topic of this article, including Zhizhuo Long, Feng Shi, and Yong Jiang. We also thank two anonymous referees for their helpful comments and suggestions. We are grateful for financial support from the Beijing Science and Technology Project (Z171100000917009).
Compliance with ethics guidelines

Jian-guo Li and Kai Zhan declare that they have no conflict of interest or financial conflicts to disclose.

基金
We are grateful for financial support from the Beijing Science and Technology Project (Z171100000917009).()

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