CCTEG Changzhou Research Institute
State Key Laboratory of Intelligent Coal Mining and Strata Control
Tiandi (Changzhou) Automation Co., Ltd.

智能矿山领域数字孪生技术的应用需面对较多复杂性、特殊性的技术突破。阐述了数字孪生在智能矿山领域的适用性，归纳梳理了数字孪生技术在煤矿安全、生产及运营管理等方面的研究及应用现状：在煤矿安全管理方面，数字孪生技术主要应用于灾害预警、风险管控、灾害救援等；在煤矿生产方面，数字孪生技术主要应用于采掘工作面区域整体、单机机械装备状态监测及控制、机械装备预测性维护。从物理实体、虚拟实体、连接交互、数字孪生数据及功能服务5个维度入手探讨了智能矿山领域数字孪生亟待解决的关键共性问题：物理实体维度需重点突破全面感知及控制装备的研发，虚拟实体维度需深入进行物理、行为、规则模型的研究，连接交互维度需攻关煤矿井下5G网络传输关键技术，数字孪生数据维度需解决高性能计算等问题，功能服务维度需研发仿真软件及人工智能算法，以便更好地适应现场环境。从矿井规划设计、开发、建设阶段的灾害预防性设计、生产系统设计、地质环境预测，矿井生产运营阶段的灾害预警及防控、生产调度决策优化、生产设备全生命周期管理等方面展望了数字孪生技术在智能矿山领域的发展趋势，认为宜针对关键部件或装备，核心环节，重要或危险场所、区域等进行精细化孪生。

The application of digital twin technology in the field of intelligent mining needs to face many complex and special technological breakthroughs. This article elaborates on the applicability of digital twins in the field of intelligent mining, and summarizes the research and application status of digital twin technology in coal mine safety, production, and operation management. In terms of coal mine safety management, digital twin technology is mainly applied in disaster warning, risk control, disaster rescue, etc. In terms of coal mine production, digital twin technology is mainly applied in the overall mining working face area, monitoring and control of single machine mechanical equipment status, and predictive maintenance of mechanical equipment. Starting from five dimensions: physical entity, virtual entity, connection interaction, digital twin data, and functional services, this paper explores the key common problems that urgently need to be solved in the field of intelligent mining. The physical entity dimension needs to focus on breaking through the research and development of comprehensive perception and control equipment. The virtual entity dimension needs to conduct in-depth research on physical, behavioral, and rule models. The connection interaction dimension needs to tackle key technologies for underground 5G network transmission in coal mines. The twin data dimension needs to solve problems such as high-performance computing. The functional service dimension needs to develop simulation software and artificial intelligence algorithms to better adapt to the on-site environment. This article looks forward to the development trend of digital twin technology in the field of intelligent mining from the aspects of disaster prevention design, production system design, geological environment prediction in the planning, development, and construction stages of mines, disaster warning and prevention, optimization of production scheduling decisions, and full life cycle management of production equipment in the production and operation stage of mines. It is believed that fine twinning should be carried out for key components or equipment, core links, important or dangerous places, areas, etc.

天地科技股份有限公司科技创新创业资金专项项目（2021-TD-ZD004）。

邢震. 面向智能矿山的数字孪生技术研究进展[J]. 工矿自动化，2024，50（3）：22-34, 41.

XING Zhen. Research progress on digital twin technology for intelligent mines[J]. Journal of Mine Automation，2024，50（3）：22-34, 41.