Intelligent Safety Monitoring and Prevention Process in Coal Mines
A special issue of Processes (ISSN 2227-9717). This special issue belongs to the section "Chemical Processes and Systems".
Deadline for manuscript submissions: 31 August 2024 | Viewed by 18355
Special Issue Editors
Interests: mine safety engineering; safety and emergency management; gas flow theory in coal
Special Issues, Collections and Topics in MDPI journals
Interests: theory and technology of efficient gas extraction; ventilation theory and technology in disaster period; theory and technology of emergency rescue
Special Issues, Collections and Topics in MDPI journals
Interests: coal mine disaster prevention and control; occupational health
Special Issues, Collections and Topics in MDPI journals
Special Issue Information
Dear Colleagues,
Coal is an important energy strategy resource in economic and social development. Although the proportion of coal in energy consumption is gradually decreasing, it still plays the underpinning and safeguarding role. Promoting the safe and efficient, green development, and clean and efficient utilization of coal resources is the necessary path for the development of the coal industry and one of the important guarantees for achieving carbon peaking and carbon neutrality goals. To achieve the goal of safe and efficient mining of coal resources, it is necessary to improve the intelligence level of coal mines. Among them, with the development of deep mining, coal mine disasters are becoming increasingly frequent. The advanced intelligent perception and prevention technology of coal mine disaster is one of the key technologies that urgently need to be broken through in the intelligent management of coal mine safety. However, there are currently difficulties in data perception, information interaction, poor real-time performance, low reliability, low data utilization, and weak multiple intelligent systems collaboration among disaster monitoring systems. Therefore, it is urgent to profoundly study intelligent monitoring, early warning, and prevention of mine disasters in order to achieve intelligent control of the entire process of mine safety risks and ensure energy security and green mining in coal mines.
The aim of this Special Issue is to solicit original research articles and review papers reflecting the advances in research concerning intelligent safety monitoring and prevention in coal mines. Topics include, but are not limited to:
- Mechanism and risk identification of coal mine disasters (gas, fire, water damage, roof, dust).
- Theory, method, and technology of multiple information intelligent early warning for coal mine disasters.
- Prevention mechanism, intelligent prevention and control theory and methods of the coal mine disaster.
- Intelligent early warning and prevention of secondary disasters caused by coal mining.
- Intelligent monitoring and prevention of disasters caused by associated energy and unconventional natural gas development of coal measures.
Dr. Feng Du
Prof. Dr. Aitao Zhou
Dr. Bo Li
Guest Editors
Manuscript Submission Information
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Keywords
- coal mining
- intelligent safety monitoring
- disaster prevention
- pregnancy disaster mechanism
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