Safety Monitoring and Intelligent Diagnosis of Mining Processes
A special issue of Processes (ISSN 2227-9717). This special issue belongs to the section "AI-Enabled Process Engineering".
Deadline for manuscript submissions: 28 February 2026 | Viewed by 124
Special Issue Editors
Interests: mine safety engineering; occupational health and safety; disaster prevention and emergency rescue
Interests: mining safety; coal and rock dynamic disasters; safety monitoring and early warning
Special Issues, Collections and Topics in MDPI journals
Special Issue Information
Dear Colleagues,
This Special Issue of Processes is dedicated to Safety Monitoring and Intelligent Diagnosis of Mining Processes. Processes is a peer-reviewed scientific journal that publishes articles and communications in the interdisciplinary area of mining safety. For detailed information on the journal, we refer you to the following: https://www.mdpi.com/journal/processes.
Mining processes involve complex operations like blasting, excavation, and transportation, which often entail potential safety risks such as gas leakage, equipment failure, and slope instability. Traditional monitoring methods have limitations in terms of the real-time and accurate detection of these risks. Safety monitoring and intelligent diagnosis of mining processes utilize advanced sensors to collect real-time data on parameters such as gas concentration, vibration, and temperature. Then, intelligent algorithms analyze these data to enable early warning of safety hazards and accurate diagnosis of equipment faults. This approach not only enhances the safety of mining operations but also reduces downtime and improves efficiency. Its development and application have become key directions for the modernization of the mining industry, holding significant implications for the sustainable development of the sector.
This Special Issue is open for the submission of papers focused on subject areas related to Safety Monitoring and Intelligent Diagnosis of Mining Processes. The listed keywords suggest just a few topics of interest, though we welcome many other possibilities.
Dr. Biao Xie
Dr. Dexing Li
Guest Editors
Manuscript Submission Information
Manuscripts should be submitted online at www.mdpi.com by registering and logging in to this website. Once you are registered, click here to go to the submission form. Manuscripts can be submitted until the deadline. All submissions that pass pre-check are peer-reviewed. Accepted papers will be published continuously in the journal (as soon as accepted) and will be listed together on the special issue website. Research articles, review articles as well as short communications are invited. For planned papers, a title and short abstract (about 100 words) can be sent to the Editorial Office for announcement on this website.
Submitted manuscripts should not have been published previously, nor be under consideration for publication elsewhere (except conference proceedings papers). All manuscripts are thoroughly refereed through a single-blind peer-review process. A guide for authors and other relevant information for submission of manuscripts is available on the Instructions for Authors page. Processes is an international peer-reviewed open access monthly journal published by MDPI.
Please visit the Instructions for Authors page before submitting a manuscript. The Article Processing Charge (APC) for publication in this open access journal is 2400 CHF (Swiss Francs). Submitted papers should be well formatted and use good English. Authors may use MDPI's English editing service prior to publication or during author revisions.
Keywords
- mine fire detection
- mine water inrush warning
- gas disaster monitoring and prevention
- mine dust control
- strata pressure behavior analysis
- mine intelligent ventilation
- microseismic monitoring technology
- real-time risk assessment
- disaster evolution simulation
- intelligent fault diagnosis
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