Citation: | WANG Guofa,ZHANG Jianzhong,LIU Zaibin,et al. Progress in digital and intelligent technologies for complex giant systems in green coal development[J]. Coal Science and Technology,2024,52(11):1−16. DOI: 10.12438/cst.2024-1190 |
Analyzed the new situation and requirements facing the green development of coal resources in China, proposed a complex and intelligent technology system for the green development of coal resources, with the goal of green development mode and geological transparency as the basis. Digitized all elements of coal mines, and completed the precise real-time collection, networked transmission, standardized integration, visual display, automated operation, and intelligent service of all information in coal mines as a digital intelligent agent. By integrating a series of key digital intelligent technologies, it promotes the iterative upgrading of green, intelligent, balanced development and control mode of coal resources. We have refined the “digital intelligent mining” technology and developed key technologies such as the digital coal mine intelligent logic model, the “mining equipment” dual dynamic system coupling analysis model under complex deformation conditions, the mining equipment group health status evaluation and remaining life prediction model, etc. We have proposed intelligent control methods for mining systems under the intelligent logic model framework, intelligent mining complex scene comprehensive mining equipment group posture recognition methods, global optimal planning strategies and collaborative control methods, equipment health status recognition and fault diagnosis methods; Interpreting the concept of “transparent geology”, proposing a path for transparent geological security technology, developing geological transparency technologies such as fine geophysical exploration and drilling, dynamic monitoring of surrounding rock conditions, multi-source high-precision data collection, multi-source heterogeneous data fusion and interpretation, innovating geological digitalization technologies such as static geological modeling, dynamic geological modeling, precise geological security of working faces, multi-source geological data interpretation and fusion, multi-attribute dynamic high-precision modeling, synchronous mapping of geological information, mining information modeling, etc., analyzing the application value of “transparent geology” technology in underground resource development geological structure exploration degree, revealing the physical and mechanical properties of coal and rock, “three field” changes, hidden disaster factor prediction, etc; Analyzed green mining technologies, including green sedimentation reduction and water conservation mining technologies, as well as well as collaborative management and ecological restoration technologies above and below the well; Case analysis was conducted around three technologies: intelligent mining, transparent geology, and green mining. It is expected that under the current situation, there is an urgent need to accelerate the transformation of data-driven green development and management of coal resources, and promote the high-quality development of the coal industry into a new stage.
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