Research on hidden structure identification of multi-source data fusion in coal mine working face
Li Yanchuan1, Zhao Jinqing2, Shen Tianyu2, Wang Lu2
1. Shanxi Coal Transportation and Marketing Group Science and Technology Research Co., Ltd., Taiyuan 030000, China;
2. Shanxi Institute of Energy, Jinzhong 030600, China
This paper discussed the application of multi-source data fusion technology in the identification of concealed structures in coal mine working face. In view of the frequent occurrence of coal mine accidents in hidden structures, the research, which was combined with borehole logging, radio wave perspective and seismic detection data, could effectively identify hidden faults, folds and other structures in coal seams. Through the practice of No.92304 Face in Weiding Coal Industry, it was verified that this technology could significantly improve the accuracy and reliability of geological exploration, and provide scientific basis and technical guarantee for coal mine safety production. And the research was of great significance for preventing coal mine disasters.
李雁川1，赵晋卿2，沈田宇2，王 路2. 多源数据融合在煤矿工作面隐伏构造识别研究[J]. 煤炭与化工, 2025, 48(10): 59-62，67..
Li Yanchuan1, Zhao Jinqing2, Shen Tianyu2, Wang Lu2. Research on hidden structure identification of multi-source data fusion in coal mine working face. CCI, 2025, 48(10): 59-62，67..
