Review of the development status of rock burst disaster prevention system in China

Abstract

Deep-land resource exploitation is a crucial focus of future scientific and technological development in China. However, with the increasing depth of coal mining, rock burst disasters occur frequently, posing significant threats to the safe and efficient mining of coal mines. Therefore, it is of paramount importance to investigate mechanisms of rock burst, develop effective monitoring and warning systems, and explore techniques for pressure relief and shock reduction. This paper begins by summarizing the occurrence mechanisms of rock bursts in coal mines in chronological order and clarifying the interrelationships between these theories. Additionally, the paper presents a comprehensive summary of the mechanisms of rock bursts from a testing perspective, refining the understanding of their generation mechanisms and types. It emphasizes that the material effect and structure effect of coal and rock mass are key influencing factors in rock burst occurrences. Furthermore, the paper compares and analyzes the limitations of existing monitoring and warning by systems for rock bursts by various methods, such as microseismic monitoring, stress monitoring, electromagnetic radiation monitoring, and ground sound monitoring. Based on these findings, a proposed solution is presented: a big data analysis and comprehensive monitoring and early warning system that integrates temporally and spatially relevant precursor information using eigenvectors as weights. Lastly, the paper addresses the challenges faced in China in preventing and controlling rock bursts, including insufficient monitoring accuracy, difficulties in managing complex environments, inadequate optimization of relief and shock reduction schemes, and unsatisfactory support methods. Several suggestions are offered for future rock burst prevention and control efforts. The results of this study can provide valuable references for preventing rock bursts.

Keywords

rock burst / structure effect / disaster prevention system / monitoring and early warning / precursor recognition / multi-source information fusion

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