煤矿智能化是推动煤炭行业高质量发展的重要方向。围绕煤矿智能化的基础理论研究、技术体系构建及示范推广进行了系统综述，全面分析煤矿智能化建设的现状，明确了当前智能化发展中面临的关键技术瓶颈和解决这些技术难题以推动煤矿行业高质量发展的路径。在基础理论方面，重点探讨了数字煤矿与智能化开采基础理论的研究进展；在技术体系构建方面，总结了智能化煤矿的关键技术模块；在示范推广方面，以典型示范矿井为案例，总结了智能化系统在实际生产中的应用效果，并分析了推广过程中面临的技术、管理等制约因素。基于对煤矿智能化基础理论和技术体系的深入研究，以及示范矿井建设的实践经验，系统梳理了智能地质保障、信息通信、掘进、开采及智能安全控制系统等技术领域的现状与突出问题，特别针对复杂地质条件下的高效掘进、高效开采、机器人协同作业及系统运维等技术瓶颈进行了深入剖析。聚焦于复杂条件下的高效掘进技术、薄煤层和冲击地压煤层的高效开采、煤矿机器人关键技术、新一代智能安控系统的研发，加快露天煤矿的大型化和智能化进程，完善煤矿智能化运维标准体系和推动智能化系统的迭代升级，以企业需求为导向，以技术创新为牵引，加快煤矿采掘装备的成套化、高端化、数智化发展，为煤矿智能化建设的高质量、可持续发展提供可靠的技术装备支撑和保障。

Coal mine intelligentization is a vital direction for promoting the high-quality development of the coal industry. Reviews advancements in the foundational theories, technological systems, and demonstration applications of coal mine intelligentization, comprehensively analyzes the current status of intelligent coal mine construction, identifies key technological bottlenecks, and proposes pathways to address these challenges. In terms of foundational theories, the study focuses on the theoretical framework of digital coal mines and intelligent mining. For technological system construction, the key technical modules of intelligent coal mines are summarized. Regarding demonstration applications, typical intelligent mines are used as case studies to evaluate the application effects of intelligent systems in actual production and to identify technical, managerial encountered during their promotion. Building upon in-depth research into the foundational theories and technological systems of coal mine intelligentization, as well as practical experiences from demonstration mines, the study systematically examines the current status and pressing issues in intelligent geological support, information and communication systems, excavation, mining, and intelligent safety control systems. Special attention is given to addressing technological bottlenecks in efficient excavation under complex geological conditions, high-efficiency mining of thin coal seams and seams prone to dynamic pressure, robotic collaborative operations, and system maintenance. The research highlights the development of efficient excavation technologies for complex conditions, high-performance mining techniques for thin coal seams and dynamic-pressure coal seams, critical technologies for coal mine robotics, and innovations in next-generation intelligent safety control systems. It further emphasizes accelerating the large-scale and intelligent transformation of open-pit coal mines, improving the standardization of intelligent mine operation and maintenance systems, and facilitating iterative upgrades to intelligent systems. Driven by industry needs and guided by technological innovation, the study advocates for the integration, advancement, and digitalization of coal mining equipment to provide reliable technological and equipment support for the high-quality and sustainable development of coal mine intelligentization.