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Development Status and Trend of Mine Intelligent Mining Technology

Author

Listed:
  • Zhuo Wang

    (School of Resources and Safety Engineering, Central South University, Changsha 410083, China)

  • Lin Bi

    (School of Resources and Safety Engineering, Central South University, Changsha 410083, China)

  • Jinbo Li

    (School of Resources and Safety Engineering, Central South University, Changsha 410083, China
    School of Mining Engineering and Geology, Xinjiang Institute of Engineering, Urumqi 830023, China)

  • Zhaohao Wu

    (School of Resources and Safety Engineering, Central South University, Changsha 410083, China)

  • Ziyu Zhao

    (School of Resources and Safety Engineering, Central South University, Changsha 410083, China)

Abstract

Intelligent mining technology, as the core driving force for the digital transformation of the mining industry, integrates cyber-physical systems, artificial intelligence, and industrial internet technologies to establish a “cloud–edge–end” collaborative system. In this paper, the development trajectory of intelligent mining technology has been systematically reviewed, which has gone through four stages: stand-alone automation, integrated automation and informatization, digital and intelligent initial, and comprehensive intelligence. And the current development status of “cloud–edge–end” technologies has been reviewed: (i) The end layer achieves environmental state monitoring and precise control through a multi-source sensing network and intelligent equipment. (ii) The edge layer leverages 5G and edge computing to accomplish real-time data processing, 3D dynamic modeling, and safety early warning. (iii) The cloud layer realizes digital planning and intelligent decision-making, based on the industrial Internet platform. The three-layer collaboration forms a “perception–analysis–decision–execution” closed loop. Currently, there are still many challenges in the development of the technology, including the lack of a standardization system, the bottleneck of multi-source heterogeneous data fusion, the lack of a cross-process coordination of the equipment, and the shortage of interdisciplinary talents. Accordingly, this paper focuses on future development trends from four aspects, providing systematic solutions for a safe, efficient, and sustainable mining operation. Technological evolution will accelerate the formation of an intelligent ecosystem characterized by “standard-driven, data-empowered, equipment-autonomous, and human–machine collaboration”.

Suggested Citation

  • Zhuo Wang & Lin Bi & Jinbo Li & Zhaohao Wu & Ziyu Zhao, 2025. "Development Status and Trend of Mine Intelligent Mining Technology," Mathematics, MDPI, vol. 13(13), pages 1-26, July.
    • Handle: RePEc:gam:jmathe:v:13:y:2025:i:13:p:2217-:d:1696604
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    References listed on IDEAS

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