College of Urban and Environmental Sciences,Peking University
Beijing Longruan Technologies

创新驱动已成为矿山行业发展的新引擎,以人工智能(AI)为代表的新兴技术范式在煤矿工业领域中不断进行探索与应用的实践。通过梳理国内外研究进展,给出AI在智能矿山中的技术架构和关键技术,重点分析“智能矿山AI+”的七大重点应用场景,包括地质勘探、智能化采掘、工业视频、灾害预警、设备预测性维护、生产过程优化、AI大模型等。最后,展望了未来AI技术在智能矿山中的应用前景,包括无人化开采、数字孪生矿山以及行业标准与规范的完善等,也提出在AI+应用还存在技术难度较大、成本效益矛盾、数字鸿沟加剧等新挑战。

innovation-driven development has become a new engine for mining industry. Artificial Intelligence (AI),as a new paradigm,is continuously explored and applied in the coal mining industry. By reviewing domestic and international research progress on intelligent mine,this article proposes the technical architecture and key technologies for "AI+ in intelligent mines",and analyzes seven major application scenarios of AI+,including geological exploration,intelligent mining,industrial video,disaster warning,predictive maintenance of equipment,production process optimization,and AI Large Models. Finally,the article prospect the future applications of AI+ in intelligent mines,including unmanned mining,digital twin mines,and the improvement of industry standards. It also highlights new challenges,such as high technical difficulty,high investment,and the widening digital divide.

“十四五”国家重点研发计划资助项目(2022YFC3004700)

李梅, 张鹏鹏, 李元琛. AI赋能智能矿山:应用场景及未来展望. 煤炭经济研究. 2025, 45(2): 161-169

LI Mei, ZHANG Pengpeng, LI Yuanchen. AI+ intelligent mines:Application scenarios and future prospects. Coal Economic Research. 2025, 45(2): 161-169