Mine Automation and New Technologies
A special issue of Mining (ISSN 2673-6489).
Deadline for manuscript submissions: closed (30 June 2023) | Viewed by 13639
Special Issue Editors
Interests: machine learning (ML) algorithms; artificial intelligence (AI); mine automation; rock mechanics; deep mining; static and dynamic response of rocks; rockburst; blasting operation
Interests: mining productivity; energy transition; data analysis; simulation modelling
Special Issue Information
Dear Colleagues,
Digitalisation and higher levels of automation will significantly affect mining efficiency and change the role of people working within the mining industry and elsewhere. Mine automation plays a critical role in eliminating or reducing workers’ exposure to hazardous areas in surface and underground mines. It has the potential to improve safety, reduce carbon emissions, and ensure mine sustainability. In this regard, during the last decade, significant advancements in adapting state-of-the-art communication systems, robots, sensor technology, and remotely controlled systems to the mining industry have been made.
On the other hand, due to the world's rapid economic development and depletion of conventional mineral resources, an emerging trend towards unconventional/alternative mining methods, such as space mining, deep-sea mining, brine mining, urban mining, in situ leaching, and deep underground mining, has appeared in the mining industry and academic environment globally.
This Special Issue welcomes state-of-the-art contributions to mine automation and alternative mining methods within the scope of the following topics:
- Artificial intelligence— application of novel and robust machine learning algorithms for solving high-complex non-linear problems;
- Communication systems—wired, wireless, and hybrid communication systems, IoT, ICT, etc.;
- Automation—autonomous and remotely controlled mining systems, unmanned aerial vehicles (UAVs), robots, etc.;
- Sensor technology—collision avoidance systems, hazard monitoring systems, tracking systems, etc.;
- Simulation technologies—virtual reality (VR), augmented reality (AR), mixed reality (MR), metaverse, etc.;
- Mine Electrification—carbon emission reduction techniques, battery electric vehicles (BEVs), battery charging technologies, mine sustainability, etc.;
- Future/alternative mining methods—deep underground mining, deep-sea mining, brine mining, in situ leaching, urban mining, space mining, etc.
Dr. Roohollah Shirani Faradonbeh
Dr. Robert Solomon
Dr. Phillip Stothard
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. Mining is an international peer-reviewed open access quarterly 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 1000 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
- future mining methods
- automation
- sustainability
- electrification
- artificial intelligence
- simulation
- sensors