Review of Transition from Mining 4.0 to Mining 5.0 Innovative Technologies
Open Access
- 14 April 2023
- journal article
- review article
- Published by MDPI AG in Applied Sciences
- Vol. 13 (8) , 4917
Abstract
The sustainable provision of mankind with energy and mineral raw materials is associated with an increase not only in industrial but also in the ecological and economic development of the raw material sector. Expanding demand for energy, metals, building and chemical raw materials on the one hand, and the deterioration of the living environment along with a growth of raw materials extraction on the other, put the human-centric development of mining at the forefront. This forms a transition trend from Mining 4.0 technologies such as artificial intelligence, big data, smart sensors and robots, machine vision, etc., to Mining 5.0, presented with collaborative robots and deserted enterprises, bioextraction of useful minerals, postmining, and revitalization of mining areas. This “bridge” is formed by the technological convergence of information, cognitive, and biochemical technologies with traditional geotechnology, which should radically change the role of the resource sector in the economy and society of the 21st century. The transition from Mining 3.0 to 4.0 cannot be considered complete. However, at the same time, the foundation is already being laid for the transition to Mining 5.0, inspired, on the one hand, by an unprecedented gain in productivity, labor safety, and predictability of commodity markets, on the other hand, by the upcoming onset of Industry 5.0. This review provides a multilateral observation of the conditions, processes, and features of the current transition to Mining 4.0 and the upcoming transformation on the Mining 5.0 platform, highlighting its core and prospects for replacing humans with collaborated robots and artificial intelligence. In addition, the main limitations of the transition to Mining 5.0 are discussed, the overcoming of which is associated with the development of green mining and ESG (environment, social, and governance) investment.Keywords
Funding Information
- Russian Science Foundation (23-28-01423)
This publication has 135 references indexed in Scilit:
- Mine Sited after Mine Activity: The Brownfields Methodology and Kuzbass Coal Mining CaseResources, 2019
- Mining engineering system as an energy asset in industry 4.02018
- Implicit 3D Modeling of Ore Body from Geological Boreholes Data Using Hermite Radial Basis FunctionsMinerals, 2018
- Digitization of the Russian coal sector economy – from Industry 4.0 to Society 5.0Mining Industry Journal (Gornay Promishlennost), 2018
- Conveyor Belt 4.02018
- Recent development on underground coal gasification and subsequent CO 2 storageJournal of the Energy Institute, 2016
- The Operator 4.0: Human Cyber-Physical Systems & Adaptive Automation Towards Human-Automation Symbiosis Work Systems2016
- Failure mode prediction and energy forecasting of PV plants to assist dynamic maintenance tasks by ANN based modelsRenewable Energy, 2015
- Monitoring Mining Subsidence Using A Combination of Phase-Stacking and Offset-Tracking MethodsRemote Sensing, 2015
- Future of metal mining: Sixteen predictionsInternational Journal of Mining and Mineral Engineering, 2009