Research progress and prospects of intelligent technology in underground mining of hard rock mines
Xiaobo Liu, Xingfan Zhang, Liancheng Wang, Fuming Qu, Anlin Shao, Lingyu Zhao, Huaiyuan Wang, Xingtong Yue, Yizhuo Li, Wenzhen Yan, He Jiang
Abstract
Minerals are the material foundation for advancing human civilization, the starting point of the manufacturing supply chain, and strategic resources essential for national security and economic progress. In recent years, deep learning and big data have strongly supported improving mining efficiency and safety in underground hard rock mines. Against this backdrop, this paper focuses on the production processes and vital auxiliary aspects of underground mining in hard rock mines. It delves into six aspects: drilling, blasting, transportation, hoisting, ventilation, and support and filling. The paper elaborates on the latest advancements in intelligent technology research for each aspect and provides a summary and outlook on the key technologies relevant to these processes. Research results show that the current intelligent technology used in underground mining not only improves production efficiency but also further improves the safety production level of mining enterprises. To achieve intelligent unmanned mining, bottleneck problems in each primary process must be further addressed.