Recent Advances in Optical Sensor for Mining
A special issue of Sensors (ISSN 1424-8220). This special issue belongs to the section "Optical Sensors".
Deadline for manuscript submissions: 25 February 2025 | Viewed by 11329
Special Issue Editors
2. Research Center of Intelligent Mining, China University of Mining and Technology, Xuzhou 221116, China
Interests: intelligent mining; fiber optic sensing monitoring of coal mining information; development and application of fiber optic sensors for coal mines
2. Research Center of Intelligent Mining, China University of Mining and Technology, Xuzhou 221116, China
Interests: Intelligent mining; fiber optic sensing technology for coal mines; application of fiber Bragg grating sensors/fiber optic sensors in coal mines
Interests: geotechnical engineering monitoring based on distributed fiber optic sensing technology; remote data acquisition; geological disaster evaluation based on the Internet of Things
Special Issues, Collections and Topics in MDPI journals
Special Issue Information
Dear Colleagues,
The intelligent recognition of major coal mine disasters, early warning signs, and hidden risk is the foundation of coal mine safety. Clarifying the distribution characteristics, influencing laws, and evolution mechanisms of coal mine disasters, and achieving comprehensive perception, dynamic monitoring, intelligent early warning systems, and graded response with regard to coal mine information and other innovative technologies will become the key principles of the intelligent construction of coal mines.
With the in-depth application of optical fiber sensing technology in the field of engineering monitoring, its passive, wide-area, refined, and anti-interference characteristics make it one of the top choices for engineering protection in disaster environments. As an intrinsically safe sensing and monitoring method, optical fiber sensing technology has natural advantages in coal mine applications and has made significant progress in areas such as mine pressure monitoring, roadway support, strata control, goaf fires, coal mine micro-seismic activity monitoring, and underground equipment safety. Its application in mining engineering can help further realize the progression from the perception to the cognition of mine disasters and accidents, which will effectively promote efficient, high-yield, green, and safe coal mining and can become a key solution to promote the intelligent construction of coal mines.
This Special Issue entitled "Recent Advances in Optical Sensors for Mining" aims to provide selected contributions on advances in the theory, experimentation, and application of fiber optic sensing technology in mining engineering monitoring. Meanwhile, it seeks to deepen the application of optical fiber sensing technology in the intelligent construction of coal mines. Potential topics include, but are not limited to, the following:
- Advances in sensors and sensing technologies (fiber Bragg grating sensing, distributed fiber optic sensing, multi-parameter optical fiber sensors for mining, etc.);
- Opto-electronic monitoring in mining engineering (deformation monitoring, stress monitoring, temperature monitoring, vibration monitoring, seepage monitoring, etc.);
- Artificial intelligence algorithms for fiber optic monitoring data processing in mine engineering;
- Big data mining and risk assessment of mine engineering monitoring;
- Fine monitoring technology of underground mining;
- Intelligent monitoring and maintenance of mine engineering;
- Monitoring practice and typical case analysis of major mine engineering;
- Intelligent real-time monitoring technology for mine engineering.
Dr. Minfu Liang
Prof. Dr. Xinqiu Fang
Dr. Gang Cheng
Dr. Qiang Yuan
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. Sensors is an international peer-reviewed open access semimonthly 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 2600 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
- fiber optic sensing
- optical sensor
- mining disaster monitoring
- opto-electronic monitoring
- artificial intelligence algorithm
- big data mining
- risk assessment
- coal mine disaster early warning systems.
Benefits of Publishing in a Special Issue
- Ease of navigation: Grouping papers by topic helps scholars navigate broad scope journals more efficiently.
- Greater discoverability: Special Issues support the reach and impact of scientific research. Articles in Special Issues are more discoverable and cited more frequently.
- Expansion of research network: Special Issues facilitate connections among authors, fostering scientific collaborations.
- External promotion: Articles in Special Issues are often promoted through the journal's social media, increasing their visibility.
- e-Book format: Special Issues with more than 10 articles can be published as dedicated e-books, ensuring wide and rapid dissemination.
Further information on MDPI's Special Issue polices can be found here.