WANG Haijun,CAO Yun,WANG Honglei. Research and practice on key technologies for intelligentization of coal mine[J]. Coal Geology & Exploration,2023,51(1):44−54. DOI: 10.12363/issn.1001-1986.22.12.0992
Citation: WANG Haijun,CAO Yun,WANG Honglei. Research and practice on key technologies for intelligentization of coal mine[J]. Coal Geology & Exploration,2023,51(1):44−54. DOI: 10.12363/issn.1001-1986.22.12.0992

Research and practice on key technologies for intelligentization of coal mine

  • Intelligentization of coal mine is an important way for coal industry to achieve sustainable development. It provides effective guarantee for coal mine enterprises to reduce workers, increase efficiency and improve the production safety. The new generation of information technologies, such as big data, robotics and artificial intelligence, strongly support the intelligent construction of coal mines. Firstly, the design ideas of intelligent mines are introduced in this paper, and the overall technical system of intelligent construction are developed. Secondly, the development status and trend of key technologies for the intelligentization of coal mine are analyzed, including the general heterogeneous control and data processing platform, mining inspection robot technology, artificial intelligence technology, fault diagnosis technology and intelligent wearable technology. Meanwhile, problems in the process of intelligent construction and application were combed through. In addition, solutions for the bottleneck problems and future development trend are pointed out. Besides, general heterogeneous control and data processing platform based on modular are developed, realizing the reconfigurability of underlying terminals and the unification of basic communication protocols. Thus, the problem of data islands is solved. Key technologies of the monitoring, motion control and precise positioning of inspection robot drive module are also studied to realize the precise positioning of robot based on the multi-sensor fusion technology. Problems in the application of artificial intelligence technologies in coal mine scenarios, such as lack of typical data and combination with scene knowledge, are also studied. It is shown that the few-shot learning technology is expected to promote further implementation and application of artificial intelligence technologies in the intelligent field of coal mine. The fault diagnosis technology of coal mine equipment is studied, and it is proposed that construction of equipment fault diagnosis model based on data and knowledge hybrid drive can effectively solve the problem of over-maintenance and under-maintenance. Moreover, intelligent wearable technology is the key to solve the problem of protecting workers in key underground positions, and the design scheme is also provided for the intelligent wearable system composed of respiratory system, sensor monitoring system, human-computer interaction system and voice display system. Finally, practical experience and phased achievements of intelligent construction of Huoluowan Coal Mine and Wujiata Open-pit Coal Mine of Shendong Tianlong Group are introduced, providing reference for intelligent construction of different types of coal mines.
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