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

WANG Liguan; LIU Yongchun; ZHANG Ju

doi:10.16186/j.cnki.1673-9787.2024070016

Abstract：Significance Mineral resources constitute a fundamental material foundation for modern indus-trial 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 intel-ligent 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 enter-prises 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 intel-ligent 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 het-erogeneous data fusion have enabled efficient coordination among multiple subsystems and optimized sched-uling of equipment clusters.Conclusions and Prospects Future mining operation chain systems will inte-grate 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.