Advances in Intelligent and Sustainable Mining
A special issue of Sustainability (ISSN 2071-1050). This special issue belongs to the section "Resources and Sustainable Utilization".
Deadline for manuscript submissions: closed (31 December 2023) | Viewed by 53251
Special Issue Editors
Interests: intelligent mining; unmanned mining
Interests: sustainable mining; intelligent blasting in mining
Interests: groundwater friendly backfilling; comprehensive utilization of solid waste from mining, dressing and smelting
Special Issues, Collections and Topics in MDPI journals
Special Issue Information
Dear Colleagues,
Mining is the foundation of global economic development. The development of the modern mining industry faces a series of problems, such as harsh mining conditions, high safety risks, and insufficient labor. COVID-19 has moved up the timeline for the modernization programs of mining industry, including digitization and automation. To protect worker health and safety, enterprises have fast-tracked technologies to reduce the number of people onsite and increase the ability to operate mines remotely. Therefore, the establishment of intelligent, green, and sustainable mines has gradually become a consensus in the industry. Recent years have witnessed rapid progress in intelligent mining. Cutting-edge technologies such as the internet of things, big data, artificial intelligence, 5G, edge computing, and virtual reality have greatly promoted the intelligent development of the mining industry, and comprehensively improved the sustainable level of mining. The global mining industry is going through a new revolution.
The present Special Issue is aimed to collect the innovative achievements in different perspectives of Intelligent and Sustainable Mining. The key areas include, but are not limited to:
1 Theoretical and technical progress on green, low-carbon, intelligent mine construction;
2 Intelligent blasting technology and hazard control;
3 Advanced minimisation strategies during mining waste generation;
4 Innovative development about cemented paste backfill, including theory and technology related backfill aggregates, cementitious materials, auxiliary additives;
5 Self-driving technology used in mines;
6 Application of artificial intelligence (AI) in mining;
7 Intelligent monitoring for mining safety;
8 Related case presentations.
Dr. Pingan Peng
Dr. Xianyang Qiu
Dr. Qiusong Chen
Dr. Liguan Wang
Guest Editors
Manuscript Submission Information
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Keywords
- sustainable mining
- intelligent mining
- intelligent blasting
- mining solid waste
- cemented paste backfill self-driving
- microseismic monitoring
- artificial intelligence
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