(Peer-Reviewed) New approach for the digital reconstruction of complex mine faults and its application in mining
Hongwei Wang 王宏伟 ¹ ², Zeliang Wang 王泽亮 ¹, Yaodong Jiang 姜耀东 ¹ ², Jiaqi Song 宋嘉祺 ¹, Meina Jia 贾美娜 ¹
¹ School of Mechanics and Civil Engineering, China University of Mining and Technology-Beijing, Beijing 100083, China
中国 北京 中国矿业大学（北京）力学与建筑工程学院
² State Key Laboratory of Coal Resources and Safe Mining, China University of Mining and Technology-Beijing, Beijing 100083, China
中国 北京 中国矿业大学（北京）煤炭资源与安全开采国家重点实验室
Abstract
Visualization of complex geological structures can technically support the accurate prediction and prevention of coal mine disasters. This study proposed a new digital reconstruction method to visualize geological structures based on establishing a virtual model in the digital twin system.
This methodology for the digital reconstruction of complex fault structures comprises the following four aspects: (1) collection and fidelity of multi-physical field data of the fault structures, (2) the transmission of multi-physical field data, (3) the normalization of multi-physical field data, and (4) digital model reconstruction of fault structures.
The key scientific issues of this methodology to be resolved include in situ fidelity of multi-field data and normalized programming of multi-source data. In addition, according to the geological background and conditions in Da’anshan coal mine in western Beijing, China, a preliminary attempt is made to reconstruct a digital model of fault and fold structures using the methodology proposed in this study.
Light-induced enhancement of exciton transport in organic molecular crystal
Xiao-Ze Li, Shuting Dai, Hong-Hua Fang, Yiwen Ren, Yong Yuan, Jiawen Liu, Chenchen Zhang, Pu Wang, Fangxu Yang, Wenjing Tian, Bin Xu, Hong-Bo Sun
Opto-Electronic Advances
2025-03-28
Double topological phase singularities in highly absorbing ultra-thin film structures for ultrasensitive humidity sensing
Xiaowen Li, Jie Sheng, Zhengji Wen, Fangyuan Li, Xiran Huang, Mingqing Zhang, Yi Zhang, Duo Cao2, Xi Shi, Feng Liu, Jiaming Hao
Opto-Electronic Advances
2025-03-28
Multi-photon neuron embedded bionic skin for high-precision complex texture and object reconstruction perception research
Hongyu Zhou, Chao Zhang, Hengchang Nong, Junjie Weng, Dongying Wang, Yang Yu, Jianfa Zhang, Chaofan Zhang, Jinran Yu, Zhaojian Zhang, Huan Chen, Zhenrong Zhang, Junbo Yang
Opto-Electronic Advances
2025-01-22
