Development Status and Trend of Mine Intelligent Mining Technology

Zhuo Wang, Lin Bi (), Jinbo Li, Zhaohao Wu and Ziyu Zhao
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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
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

Mathematics, 2025, vol. 13, issue 13, 1-26

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”.

Keywords: Intelligent mining; cloud–edge–end collaboration; intelligent equipment; edge computing; industrial Internet (search for similar items in EconPapers)
JEL-codes: C (search for similar items in EconPapers)
Date: 2025
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