Intelligent Information and Technological Innovations (IITI) in Mining
A special issue of Mining (ISSN 2673-6489).
Deadline for manuscript submissions: closed (30 June 2022)
Special Issue Editor
Interests: mine automation and intelligent mining systems; formation excavation engineering; synthetic and renewable energy; machine dynamics and fatigue modeling and safety; health and hazards engineering
Special Issues, Collections and Topics in MDPI journals
Special Issue Information
Dear Colleagues,
Mining comprises complex geometries with uncertain and dynamic boundaries, dangerous operations, and human-controlled machines. Due to human error, unstable layouts, geological deformations, and design problems, health and safety hazards, which can include fatalities, are critical mining concerns. The Mine Safety and Health Administration has reported that human-controlled mobile machines accounted for between 36.4% and 58.3% of fatalities each year from 2012 to 2019 in the USA, which may be similar or perhaps even higher in other countries. Furthermore, human error causes 85% of all mining accidents, resulting in fatalities and legal, social, and economic problems. Beyond operator error, the increasing use of large machines presents additional sources of incidents and fatalities. These incidents and fatalities may result from vision, terrain and formation, machine–human–formation coordination, and structural challenges. The recent introduction of automation and robotic technologies and their results present a great opportunity to meet these challenges. Continuous deployment of intelligent information and innovative technologies could further reduce or even eliminate fatalities. Other benefits include higher efficiencies in fuel, production, and machine usage. This Special Issue will focus on computational and artificial intelligence, machine learning and big data analytics, wireless and sensor networks, cybersecurity and cyber–physical systems, augmented visualization and collision avoidance, internet-of-things, and robotics technologies for improving workplace health and safety in mining operations.
Prof. Dr. Samuel Frimpong
Guest Editor
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.
