Research progress and prospects of coal spontaneous combustion monitoring and early warning technologyDENG Jun, LIU Dengzhen1-14
Research on intelligent collaborative control system for"One Ventilation and Three Prevention"in minesYAN Zhenguo, CAO Yuqi, WANG Zhenping, WAN Jiankai, WANG Yanping, ZHANG Longcheng, RUAN Jianing15-26
Dynamic simulation of anti-wind effect in coal mine ventilation system and construction of airflow regulation parameter databaseWANG Zhixin, LIU Liren, CHEN Bo, YUAN Qiang, LI Jing, DONG Shasha27-35
Temperature prediction model for coal spontaneous combustion based on Bayesian optimization support vector regressionYANG Haiyan, HU Xincheng, CAI Jiawen, YU Zhaoyang36-43,51
Accurate detection of concealed fire sources in small coal mines and efficient control via curtain groutingHU Xiangming, WU Baiqian, DONG Hao, ZHANG Guoqing, QIAO Liang, LIANG Qiangqiang, CHEN Shenghe44-51
Coal mine fire risk assessment based on AHP-FCETAN Gang, SONG Guodong, LIU Yu, ZHANG Guqiang, ZHAO Kaixuan52-58
Deep learning-based feature extraction and intelligent screening method for time-lapse resistivity monitoring data in minesLIU Yao, LIU Zaibin, XING Zhen59-65
Study on the smoke propagation characteristics of mine conveyor belt fires under different disaster scenariosZHANG Wei, LIU Huan, LI Minghui, ZHOU Ruhai, WU Jinzhong, WANG Weifeng66-74,82
Prediction method for rockburst hazard areas based on microseismic spatiotemporal flow mapCAO Anye, LIU Yapeng, WANG Zikun, YANG Xu, NIU Qiang75-82
Landslide early warning for open-pit mine based on PCA-G1-ETYUAN Liwei, PU Siwei, ZHONG Yang, YI Heng, LI Sumin83-89,104