Research progress on intelligent coal caving theory and technologyWANG Jiachen, YANG Shengli, LI Lianghui, ZHANG Jinwang, WEI Weijie1-12
Study on emissivity measurement of different types of coal and gangue using the matching methodZHANG Jinwang, HE Geng, HAN Xing, ZHANG Jiaming13-19,27
Current status and prospects of surrounding rock control and intelligent coal drawing technology in fully mechanized caving facePANG Yihui, GUAN Shufang, JIANG Zhigang, BAI Yun, LI Peng20-27
Study on precise control of coal caving mechanisms based on the kinematics of support structuresWANG Zuguang, WANG Shen, LI Dongyin, LI Huamin, WANG Wen, YUE Shuaishuai, LI Donghui28-40
Planning coal drawing control system based on process engineYAO Yupeng, SHANG Chuhao, LIU Qing41-46,107
Simulation study of top coal caving and conveying process based on smoothed particle hydrodynamicsLIU Bo, ZHANG Qiang, LIU Yang, DONG Xiangwei47-58
Detection method for gangue mixed ratio in fully mechanized caving faces based on the GSL-YOLO modelWANG Fuqi, WANG Zhifeng, JIN Jiancheng, JING Qinghe, WANG Yaohui, WANG Dalong, WANG Yilong59-65,137
Research on the characteristics of the falling behavior of mixed coal and gangueSHAN Pengfei, YANG Tong, SUN Haoqiang, XI Bojia66-74
Experimental study on the evolution characteristics of dynamic load of hydraulic support top beam during coal cavingHUO Yuming, HU Wenshuo, GAO Peng, YAN Chuan75-81
Research on filling,pressure relief,and rock burst prevention in horizontal sublevel fully mechanized top coal caving of near-vertical coal seam groupsWANG Ziwei, CHENG Boyuan, WEI Weijie, SUN Wenchao, XIE Dongheng, XIE Mianyu82-89