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Zhang Kexue, Wei Ziqin, Li Xiaolei, Ma Shuqi, Wang Xiaoling, Li Xinlei, Hou Dianchen, Yan Xingchen, Xun Hengheng, Zhu Jun'ao, Yang Haijiang, Wu Yongwei, Li Juran, Yin Yuhang, Li Zhongxu, Lyu Xinmiao, Li Chengzhang, Li Yimeng, Zhou Long, Cui Le, Feng Ruiyao, Chai Baochun, Liu Jiahui. Research on full-section rapid roadway method and system implementation in intelligent excavation face of coal mineJ. Mining Safety & Environmental Protection, 2026, 53(1): 51-61. DOI: 10.19835/j.issn.1008-4495.20250141
Citation: Zhang Kexue, Wei Ziqin, Li Xiaolei, Ma Shuqi, Wang Xiaoling, Li Xinlei, Hou Dianchen, Yan Xingchen, Xun Hengheng, Zhu Jun'ao, Yang Haijiang, Wu Yongwei, Li Juran, Yin Yuhang, Li Zhongxu, Lyu Xinmiao, Li Chengzhang, Li Yimeng, Zhou Long, Cui Le, Feng Ruiyao, Chai Baochun, Liu Jiahui. Research on full-section rapid roadway method and system implementation in intelligent excavation face of coal mineJ. Mining Safety & Environmental Protection, 2026, 53(1): 51-61. DOI: 10.19835/j.issn.1008-4495.20250141

Research on full-section rapid roadway method and system implementation in intelligent excavation face of coal mine

  • In view of the problems existing in intelligent excavation face of coal mine, such as the slow tunneling rate of full-section roadway, the difficulty of preparing roadway for one-time roadway formation, and the relatively low level of intelligence in full-section tunneling, a method of full-section rapid roadway in the intelligent excavation face of coal mine is proposed. The cutting track is optimized and modified according to local conditions to reduce the wear of the roadheader and the waste of resources at both ends of the excavation face roof. The system of full-section rapid roadway in the intelligent excavation face in coal mine is developed. According to the data obtained by the information acquisition device of roadheader, the cutting speed is automatically adjusted and the corresponding cutting mode is selected. The autonomous cutting is carried out by pre-set optimized tunneling scheme and inertial navigation, and remote intervention can also be carried out. This method and system have been applied in 14010 working face of Zhaogu No.2 Coal Mine. It has gone through three stages of learning and exploration, preliminary application and formal application. It has realized the memory cutting of intelligent roadheader, autonomous bolting with a monorail-mounted six-boom bolter, and the intelligent control of rapid repair equipment of coal roadway. The working face achieves an additional daily advance of 2 m while reducing manpower by 8 workers per shift. This substantiates the realization of manpower reduction and efficiency enhancement in intelligent excavation operations, providing both technical support and a theoretical reference for achieving full-section rapid roadway in intelligent excavation face of coal mine.
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