总结了煤炭数智化技术在现阶段的发展状况，分析了煤炭高效开采数智技术与成套装备研究及其应用所面临的新形势和新要求，针对不同煤层赋存条件面临的高强度开采围岩−设备状态全面感知、装备群一体化协同推进与联动控制等难题，将物联网、云计算、大数据分析和高精度惯导等先进信息技术与煤矿开采技术深度融合，实现了对采煤设备的状态监测和数据集成管理，通过精准感知、实时数据分析和智能控制，改善了煤矿开采过程中对设备的监测、管理和决策效率，提高了开采成套装备对不同煤层赋存条件的适应性。为解决中厚煤层超长工作面装备群一体化推进、协同控制等难题，通过地理信息动态感知与模型实时更新技术，实现了回采前方地质信息的同步映射，研发了适应超长工作面的大功率快速推进设备，构建了涵盖支−采−运各个环节的多区域同步推进工艺体系，形成了超长工作面支护装备群的联动机制，实现了装备群之间协同控制，显著提升中厚煤层开采效率和资源回收率。针对深部厚煤层复杂地质条件，研发了支架控制精细化、装备群组智能协同控制技术，实现了设备之间感知协调和自适应精准控制，提高了系统的可靠性和效率。针对8～10 m超大采高工作面超大开采空间煤壁防护、工作面围岩动载强烈、煤流载荷变化大等难题，提出了液压支架与围岩耦合自适应控制技术，增强了设备对超大采高工作面环境的适应性，研发了护帮板监测系统、采煤机稳定性自适应截割技术以及煤流负荷平衡和链条动态张紧控制等关键技术，使得设备能够在煤层厚度变化较大和强矿压条件下实现高效开采。针对煤矿高效开采数智化成套装备在海外的推广过程中，煤矿条件、安全要求、技术标准存在差异等难题，通过对技术装备的定制化调整，研发了集成监控和大数据分析系统，提高了对异常情况的响应能力，实现了工作面内设备群的自主感知、高可靠数据传输、智能分析决策、精准控制与执行。建立了适应不同工况的煤炭高效开采数智化成套装备技术体系，并在工程实践中取得了良好的效果，为煤矿智能化高质量发展提供支撑，为解决煤矿智能化建设的关键技术难题提供了解决方案。

. Summarizing the current development status of intelligent and digital technologies in the coal industry, analyzing the new situations and requirements for research and application of intelligent technologies and complete sets of equipment for efficient coal mining. Addressing challenges such as comprehensive perception of the state of high-strength mining surrounding rock and equipment under different coal seam conditions and integrated coordinated advancement and linked control of equipment groups, the paper explores the deep integration of advanced information technologies such as the Internet of Things, cloud computing, big data analytics, and high-precision inertial navigation with coal mining technologies. This integration has enabled condition monitoring and data integrated management of coal mining equipment, improving monitoring, management, and decision-making efficiency in the coal mining process through precise perception, real-time data analysis, and intelligent control. It has also enhanced the adaptability of complete mining equipment sets to different coal seam conditions. To address the challenges of integrated advancement and coordinated control of equipment groups in ultra-long workfaces for medium-thick coal seams, the paper introduces synchronous mapping of geological information ahead of the mining face through dynamic perception of geographical information and real-time model updating technology. High-power rapid advancement equipment suitable for ultra-long workfaces has been developed, and a multi-area synchronous advancement process system covering all aspects of support, mining, and transportation has been established. This forms a linked mechanism for support equipment groups in ultra-long workfaces and achieves coordinated control among equipment groups, significantly improving mining efficiency and resource recovery rates for medium-thick coal seams. For complex geological conditions in deep thick coal seams, refined control of supports and intelligent coordinated control technologies for equipment groups have been developed, enabling perceptual coordination and adaptive precise control between equipment, thus improving system reliability and efficiency. Addressing challenges such as coal wall protection in ultra-large mining spaces, intense dynamic loads on surrounding rock in the workface, and significant variations in coal flow loads in 8～10 m ultra-high mining height workfaces, the paper proposes adaptive control technology for coupling hydraulic supports with surrounding rock, enhancing the adaptability of equipment to ultra-high mining height workface environments. Key technologies such as a guard plate monitoring system, adaptive cutting technology for shearer stability, coal flow load balancing, and dynamic chain tensioning control have been developed, enabling efficient mining under conditions of significant coal seam thickness variations and strong mining pressure. In the overseas promotion of intelligent and digital complete sets of equipment for efficient coal mining, the paper addresses challenges such as differences in coal mine conditions, safety requirements, and technical standards through customized adjustments to technical equipment. An integrated monitoring and big data analytics system has been developed, improving the response to abnormal situations and enabling autonomous perception, high-reliability data transmission, intelligent analysis and decision-making, precise control and execution among equipment groups within the workface. A technical system for intelligent and digital complete sets of equipment for efficient coal mining adaptable to different working conditions has been established and has achieved good results in engineering practice. This provides support for the high-quality development of coal mine intelligence and solutions to key technical challenges in coal mine intelligent construction.