Advanced Technology for Mine Disaster Monitoring and Prevention
A special issue of Applied Sciences (ISSN 2076-3417). This special issue belongs to the section "Civil Engineering".
Deadline for manuscript submissions: 1 July 2026 | Viewed by 39
Special Issue Editors
Interests: rock burst prevention; coal and rock dynamic disaster monitoring; impact dynamics
Special Issues, Collections and Topics in MDPI journals
Interests: rock burst early warning; artificial intelligence and applications; mechanical fault diagnostics
Special Issues, Collections and Topics in MDPI journals
Special Issue Information
Dear Colleagues,
The monitoring and prevention of mining disasters forms the strategic cornerstone for ensuring worker safety and maintaining global resource and ecological security. With the depletion of shallow mineral resources, the safe and efficient development of deep mining resources has become crucial. In the era of deep mining, the concealed, chain-like, and destructive nature of disasters increases exponentially, leading to a significant increase in mining disaster risks.
The monitoring and prevention of mining disasters primarily relies on intelligent monitoring, early warning, and prevention technologies for different types of disasters such as coal and gas outbursts, rock burst, roof caving, high-stress water inrush, gas explosions, surface subsidence, and tailings dam breaches. Considering the "three highs and one disturbance" mining environment (typically referring to high stress, high temperature, high seepage pressure, and strong mining disturbance) in deep mines, the mechanisms of mining disasters are becoming more complex and coupled (e.g., multi-hazard coupling). The disaster process exhibits three major characteristics: strong nonlinearity, hidden precursors, and chain reaction/cascading effects. Traditional monitoring systems and empirical prevention and control methods are no longer able to cope. Therefore, this Special Issue aims to provide a platform for global researchers to engage in broader scientific and technological discussions on monitoring and early warning technologies as well as prevention and control systems for deep mining disasters. The discussion topics include, but are not limited to, the evolution mechanism of deep mining disasters, monitoring and early warning of deep mining disasters, and the prevention and control of deep mining
Dr. Enlai Zhao
Dr. Jinxin Wang
Guest Editors
Manuscript Submission Information
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Keywords
- intelligent monitoring
- disaster warning system
- artificial intelligence prediction
- smart mining
- disaster prevention and control
- digital twin
- multi-source data fusion
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