Xue-qiu He, Chao Zhou, Da-zhao Song, Zhen-lei Li, An-ye Cao, Shen-quan He, and Majid Khan, Mechanism and monitoring and early warning technology for rockburst in coal mines, Int. J. Miner. Metall. Mater., 28(2021), No. 7, pp. 1097-1111. https://doi.org/10.1007/s12613-021-2267-5
Cite this article as:
Xue-qiu He, Chao Zhou, Da-zhao Song, Zhen-lei Li, An-ye Cao, Shen-quan He, and Majid Khan, Mechanism and monitoring and early warning technology for rockburst in coal mines, Int. J. Miner. Metall. Mater., 28(2021), No. 7, pp. 1097-1111. https://doi.org/10.1007/s12613-021-2267-5
Invited Review

Mechanism and monitoring and early warning technology for rockburst in coal mines

+ Author Affiliations
  • Corresponding authors:

    Chao Zhou    E-mail: lebronzhou@126.com

    Da-zhao Song    E-mail: songdz@ustb.edu.cn

  • Received: 19 July 2020Revised: 5 February 2021Accepted: 17 February 2021Available online: 18 February 2021
  • On the basis of the massive amount of published literature and the long-term practice of our research group in the field of prevention and control of rockburst, the research progress and shortcomings in understanding the rockburst phenomenon have been comprehensively investigated. This study focuses on the occurrence mechanism and monitoring and early warning technology for rockburst in coal mines. Results showed that the prevention and control of rockburst had made significant progress. However, with the increasing mining depth, several unresolved concerns remain challenging. From the in-depth research and analysis, it can be inferred that rockburst disasters involve three main problems, i.e., the induction factors are complicated, the mechanism is still unclear, and the accuracy of the monitoring equipment and multisource stereo monitoring technology is insufficient. The monitoring and warning standards of rockburst need to be further clarified and improved. Combined with the Internet of Things, cloud computing, and big data, a study of the trend of rockburst needs to be conducted. Furthermore, the mechanism of multiphase and multi-field coupling induced by rockburst on a large scale needs to be explored. A multisystem and multiparameter integrated monitoring and early warning system and remote monitoring cloud platform for rockburst should be explored and developed. High-reliability sensing technology and equipment and perfect monitoring and early warning standards are considered to be the development direction of rockburst in the future. This research will help experts and technicians adopt effective measures for controlling rockburst disasters.

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