针对煤机装备实现全生命周期数智化综合管理技术难题，将我国煤机装备全生命周期管理技术发展历程划分为3个阶段，从煤机装备管理标准体系建设、设备台账流程管理、智能运维管理及系统平台建设等方面分析了现阶段我国煤机装备管理存在的痛点。研究了煤机装备前期、中期、后期管理目标、业务流程及实施主体，提出了煤机装备全生命周期数智化管理系统总体架构。分析了煤机装备选型优化设计主要影响因素，研究得出了综采设备选型优化计算方法，开发了综采设备选型优化算法及软件平台，提出了煤机装备系列型谱与编码体系构建方法。将煤机装备管理划分为6个业务域，阐明了不同业务域之间的关联关系；研究了工单管理流程不同阶段的业务分工，提出了基于AI赋能的工单精细化管理流程。分析了不同运维模式之间的差异，基于区域集中运维模式提出了煤机装备运维管理技术框架。分析了煤机装备状态感知技术现状及存在的问题，研究了基于非接触式传感技术的间接感知方法，在提高解算精度的前提下降低了安装与运维成本。研究了基于数字孪生技术对实体模型进行远程运维作业的技术路径，提出了几何模型+机理模型+数据模型融合驱动的运行控制与维护策略，展望了煤机装备全生命周期数智化综合管理技术及系统平台研发方向。

In response to the technical challenges of achieving intelligent comprehensive management of the entire lifecycle of coal mining equipment, the development process of China's coal mining equipment lifecycle management technology is divided into three stages. The pain points in China's current coal mining equipment management are analyzed from the aspects of standard system construction, equipment ledger process management, intelligent operation and maintenance management, and system platform construction. We have studied the management objectives, business processes, and implementation entities of coal mining equipment in the early, middle, and later stages, and proposed the overall architecture of a digitalized management system for the entire lifecycle of coal mining equipment. The main influencing factors of coal mining equipment selection optimization design were analyzed, and a calculation method for comprehensive mining equipment selection optimization was studied. An optimization algorithm and software platform for comprehensive mining equipment selection were developed, and a method for constructing a series spectrum and coding system for coal mining equipment was proposed. Dividing coal mining equipment management into six business domains and clarifying the interrelationships between different business domains; We studied the business division of labor in different stages of the work order management process and proposed a refined work order management process based on AI empowerment. Analyzed the differences between different operation and maintenance modes, and proposed a technical framework for coal machine equipment operation and maintenance management based on the regional centralized operation and maintenance mode. Analyzed the current status and existing problems of coal mining equipment state perception technology, studied indirect perception methods based on non-contact sensing technology, and reduced installation and operation costs while improving solution accuracy. We studied the technical path of remote operation and maintenance of physical models based on digital twin technology, proposed a geometric-mechanism-data model fusion driven operation control and maintenance strategy, and looked forward to the development direction of intelligent comprehensive management technology and system platform for the entire life cycle of coal mining equipment.