College of Mining Engineering, Taiyuan University of Technology
Center of Shanxi Engineering Research for Coal Mine Intelligent Equipment, Taiyuan University of Technology
Postdoctoral Workstation, Shanxi Coking Coal Group Co., Ltd.

煤炭工业与人工智能（AI）深度融合是现代化矿井实现智能少人、降本提效的重要路径，而煤炭行业全流程、全业务应用场景的AI赋能是实现煤矿智能化的具体技术措施。在当前煤矿智能化发展背景下，提出了初级智能煤矿向新一代智能煤矿演进的基本范式，对比分析了初级智能煤矿与新一代智能煤矿的组成、功能与技术内涵，揭示了新一代智能煤矿AI赋能技术的重要性及其应用实施的2个关键：煤矿工业机理AI模型与煤矿工业互联网平台。总结了关于煤矿地质、采煤、掘进、安全监控等复杂作业环节的工业机理AI模型研究现状，阐明了工业机理AI分析在智能煤矿建设中的快速发展态势。设计了新一代智能煤矿多级云边协同工业互联网平台架构，利用集团数据中心、矿井数据中心、生产系统集控中心等工业信息软硬件设施，结合海量数据云计算和少量数据边缘计算特点，提出了集团云、矿井云与环节边、场景边的多级云边协同机制。指出了未来进一步研究方向，应不断加强煤矿工业机理AI模型的开发与软件化研究，逐步形成煤矿全流程AI赋能的知识软件体系，并充分运用煤矿工业互联网平台的数字资源与信息设施，逐步实现煤矿工业互联网平台的AI技术承载。

The deep integration of the coal industry and artificial intelligence (AI) is an important path for modern mines to achieve intelligent personnel reduction, cost reduction, and efficiency improvement. AI empowerment in the entire process and business application scenarios of the coal industry is a specific technical measure to achieve coal mine intelligence. In the context of the current development of intelligent coal mines, a basic paradigm for the evolution of primary intelligent coal mines to new generation intelligent coal mines has been proposed. The composition, functions, and technical connotations of primary intelligent coal mines and new generation intelligent coal mines have been compared and analyzed. It is pointed out the importance of AI empowerment technology for new generation intelligent coal mine and its two key applications and implementation: the coal mine industry mechanism AI model and the coal mine Industry internet platform. The paper summarizes the current research status of industrial mechanism AI models for complex operations such as coal mine geology, mining, excavation, and safety monitoring. The paper clarifies the rapid development trend of industrial mechanism AI analysis in intelligent coal mine construction. A new generation of intelligent coal mine multi-level cloud edge collaborative industrial Internet platform architecture is designed. Using industrial information software and hardware facilities such as group data center, mine data center, production system centralized control center, and combining the features of massive data cloud computing and small amount of data edge computing, a multi-level cloud edge collaborative mechanism of group cloud, mine cloud and link edge, scene edge is proposed. It is pointed out that further research directions in the future should continue to strengthen the development and software research of AI models for coal mining industry mechanisms. Gradually a knowledge software system empowered by AI throughout the entire process of coal mining will be formed. It is suggested to fully utilize the digital resources and information facilities of the coal mining industry Internet platform to gradually realize the AI technology support of the coal mining industry Internet platform.

国家自然科学基金项目（52274157）；“科技兴蒙”行动重点专项项目（2022EEDSKJXM010）；国家重点研发计划项目（2020YFB1314004）。

付翔，秦一凡，李浩杰，等. 新一代智能煤矿人工智能赋能技术研究综述[J]. 工矿自动化，2023，49（9）：122-131, 139.

FU Xiang, QIN Yifan, LI Haojie, et al. Summary of research on artificial intelligence empowerment technology for new generation intelligent coal mine[J]. Journal of Mine Automation，2023，49（9）：122-131, 139.