| Citation: |
PANG Yihui，BI Jinglong，YUAN Pengzhe，et al. Coal mining equipment lifecycle management system architecture and key technology[J]. Coal Science and Technology，2025，53（2）：339−350. DOI: 10.12438/cst.2024-1609
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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.
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