Research on monitoring and early warning systems for mine water: Progress and prospects

Authors

YIN Shangxian, College of Geoscience and Surveying Engineering, China University of Mining and Technology (Beijing), Beijing 100083, China; Hebei State Key Laboratory of Mine Disaster Prevention, North China Institute of Science and Technology, Beijing 101601, ChinaFollow
DING Yingying, College of Geoscience and Surveying Engineering, China University of Mining and Technology (Beijing), Beijing 100083, China; Hebei State Key Laboratory of Mine Disaster Prevention, North China Institute of Science and Technology, Beijing 101601, ChinaFollow
LIAN Huiqing, Hebei State Key Laboratory of Mine Disaster Prevention, North China Institute of Science and Technology, Beijing 101601, China
DONG Donglin, College of Geoscience and Surveying Engineering, China University of Mining and Technology (Beijing), Beijing 100083, China
DU Tong, College of Geoscience and Surveying Engineering, China University of Mining and Technology (Beijing), Beijing 100083, China
YIN Huichao, College of Geoscience and Surveying Engineering, China University of Mining and Technology (Beijing), Beijing 100083, China
ZHAO Peng, Ordos Guoyuan Mining Development Co., Ltd., Ordos 010300, China
ZHANG Yi’an, Ordos Guoyuan Mining Development Co., Ltd., Ordos 010300, China
WANG Xiong, Ordos Guoyuan Mining Development Co., Ltd., Ordos 010300, China

Abstract

Background Water disasters in mines are occasional accidents occurring due to the influence or triggered by mining-induced intense changes in geological bodies. The complexity, heterogeneity, and dynamics of geological bodies, coupled with the random and instantaneous nature of mining influence, lead to the uncertainty, instability, occasionality, and transience of water disasters in mines. Given that mine water monitoring and early warning serve as a prerequisite for advanced disaster prevention and control, their research and system construction hold great theoretical significance and practical value. Progress and Prospects Fighting against water disasters in mines is conducted throughout the development and utilization of coals. Starting from scratch, the monitoring and early warning of these disasters have undergone human experience-based identification, physical mechanism-guided information acquisition and identification, and intelligent monitoring and early warning driven by physics and data, with systematic transformation, industrial demonstration, and large-scale applications having been achieved presently. Significant advances have been made in relevant basic research, technological research and development, and system construction, enabling advanced early warning in some typical scenarios. These achievements underscore the belief that the prevention, control, and early warning of water disasters in mines can be achieved. However, the unclear physical mechanisms underlying the disasters lead to incomplete index systems, insufficient information acquisition, and inaccurate assessment and prediction. These issues tend to result in frequent occurrences of missed, false, and inaccurate early warnings. Consequently, the overall goal of advanced and precise early warnings has not been fulfilled for a vast majority of scenarios, facing serious challenges. Based on the review of the advances in research, this study proposed a system architecture for the monitoring and early warning of mine water, followed by theoretical discussions about four key technologies: the index system, information perception (monitoring), evaluation and prediction, and identification and early warning. Accordingly, this study summarized the connotations and interrelationships of these technologies, as well as relevant challenges. Furthermore, it pointed out that the monitoring and early warning should shift from methodologies based on physical mechanisms to the physics-data dual-driving mechanism. This overall development direction includes seven specific directions: constructing a comprehensive index system, optimizing the layout of the perception system, total-factor joint monitoring of multiple disasters, establishing geological-hydrological models + deep learning-based prediction models, setting early warning rules and factor thresholds, real-time and advance warning, and image monitoring and big data processing. These directions will lay the foundation for theoretical research, technological research and development, and system construction in this field.

Keywords

water disaster in mines, monitoring and early warning system, index system, information perception (monitoring), evaluation and prediction, advance warning

DOI

10.12363/issn.1001-1986.25.02.0105

Recommended Citation

YIN Shangxian, DING Yingying, LIAN Huiqing, et al. (2025) "Research on monitoring and early warning systems for mine water: Progress and prospects," Coal Geology & Exploration: Vol. 53: Iss. 7, Article 8.
DOI: 10.12363/issn.1001-1986.25.02.0105
Available at: https://cge.researchcommons.org/journal/vol53/iss7/8

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