WANG L G, LIU Y C, ZHANG J. Study on the digital and intelligent technology system for the operation chain of metal and non-metal mines[J]. Journal of Henan Polytechnic University(Natural Science) , 2025, 44(3): 12-21.

doi:10.16186/j.cnki.1673-9787.2024070016

Received:2024/07/03

Revised:2024/12/03

Online:2025-04-18

Study on the digital and intelligent technology system for the operation chain of metal and non-metal mines

WANG Liguan1,2,3, LIU Yongchun1,2, ZHANG Ju2,3

1.School of Resources and Safety Engineering， Central South University， Changsha  410083， Hunan， China；2.Digital Mine Research Center， Central South University， Changsha  410083， Hunan， China；3.DIMINE Technology Co.， Ltd.， Changsha  410205， Hunan， China

Abstract: Significance Mineral resources constitute a fundamental material foundation for modern industrial and social development. However， mining enterprises in China face significant challenges such as low ore grades， small-scale mining areas， and spatially dispersed deposits. Traditional mining operation models are increasingly unable to meet the rising demands for production efficiency， safety， product quality， and refined management under the new economic conditions. Therefore， building a digital technology system centered on the mining operation chain and promoting the comprehensive transition toward digital and intelligent mining has become a critical pathway for fostering new productive forces and achieving high-quality， sustainable development in the mining sector.  Progress  In the field of resource digitization， Chinese enterprises have developed internationally advanced technologies and product systems， enabling full-lifecycle digitization of mineral resources in modeling， evaluation， design， optimization， and management. In terms of intelligent operations， high-precision positioning， intelligent route planning， and autonomous driving technologies for underground equipment have been successfully applied in engineering practice. For safety assurance， integrated hardware-software systems featuring automated microseismic event detection and intelligent early warning have been established， forming a comprehensive “cognition-perception-management” safety framework. At the visualization and control level， digital twin technologies based on multi-source heterogeneous data fusion have enabled efficient coordination among multiple subsystems and optimized scheduling of equipment clusters. Conclusions and Prospects  Future mining operation chain systems will integrate multi-modal sensing， process optimization， full-process intelligent control， data assetization， large-scale AI agents， and cloud-based mining， thereby building a highly intelligent， collaborative， and secure production management ecosystem and achieving closed-loop intelligent control from data acquisition to decision-making.

Key words: metal and non-metal mines; mining operation chain; intelligent mining; digitalization; automation