王李管, 刘永春, 张炬.金属非金属矿山作业链数智化技术体系研究[J].河南理工大学学报（自然科学版）,2025,44(3):12-21.

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.

金属非金属矿山作业链数智化技术体系研究

王李管1,2,3, 刘永春1,2, 张炬2,3

1.中南大学 资源与安全工程学院，湖南 长沙  410083；2.中南大学 数字矿山研究中心，湖南 长沙  410083；3.长沙迪迈科技股份有限公司，湖南 长沙  410205

摘要: 意义  矿产资源是现代工业与社会发展的重要物质基础。然而，我国矿山企业普遍面临资源品位低、矿区规模小且空间分布分散等突出问题，传统矿山作业模式难以满足新常态下对生产效率、安全保障、产品品质和精细化管理的更高要求。因此，构建以作业链为核心的矿山数字化技术体系，推动矿业产业向数字化、智能化全面转型升级，已成为矿业培育新质生产力、实现高质量可持续发展的关键路径。  进展  在资源数字化领域，国内企业已成功研发出具有国际领先水平的数字化技术与产品体系，实现了矿产资源全生命周期的建模、评价、设计、优化与管理的全面数字化；在智能作业方面，井下装备的高精度定位、智能路径规划和自动驾驶技术已实现工程应用；在安全保障领域，研发了基于微震监测的自动事件拾取与智能预警软硬件系统，构建了集“认知-感知-管执”于一体的矿山数智化安全技术体系；在可视化管控层面，以多源异构数据融合为基础，通过数字孪生技术手段，实现了矿山多系统协同联动与多装备集群的高效调度管控。  结论与展望 未来的矿山数智化作业链技术体系将通过多模态感知、工艺优化、全流程智能化、数据资源化、大模型智能体和云端开采的有机融合，构建一个高度智能化、协同化、安全化的矿山生产管理生态系统，实现数据到决策的闭环智能管控。

关键词:金属非金属矿山;矿山作业链;智能化;数字化;自动化

doi:10.16186/j.cnki.1673-9787.2024070016

基金项目:国家重点研发计划项目（2022YFC2904105）

收稿日期:2024/07/03

修回日期:2024/12/03

出版日期: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