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Technological and Intellectual Transition to Mining 4.0: A Review

Author

Listed:
  • Olga Zhironkina

    (Department of Foreign Languages, Kemerovo State University, 6 Krasnaya st., 650000 Kemerovo, Russia)

  • Sergey Zhironkin

    (School of Engineering Entrepreneurship, National Research Tomsk Polytechnic University, 30 Lenina st., 634050 Tomsk, Russia
    Department of Trade and Marketing, Siberian Federal University, 79 Svobodny av., 660041 Krasnoyarsk, Russia
    Department of Open Pit Mining, T.F. Gorbachev Kuzbass State Technical University, 28 Vesennya st., 650000 Kemerovo, Russia)

Abstract

Ensuring a sustainable supply for humankind with mineral raw materials and preventing fuel and energy crises, minimizing human-made accidents and the negative impact of industry on the environment, the inflow of funds and innovations into the mining sector should be expanding in time and space. To do this, new mining platforms should have not only innovative and technological, but also social-and-economic coverage of the latest competencies, which Mining 4.0 fully corresponds to. The achievements of the Fourth Industrial Revolution, embodied in “end-to-end” digital and convergent technologies, are able to ensure the stable development of the mineral resource sector in the face of fluctuations in raw material demand and the profitability of mining enterprises, strengthening environmental safety legislation. Mining 4.0 is also a response to the technological shocks associated with the accelerated digital modernization of the manufacturing and infrastructure industries. This article attempts to give a multilateral overview of mining industries transformation in the course of the diffusion of Industry 4.0 technologies, to highlight the core and frontiers of Mining 4.0 expansion, to show the opportunities and threats of replacing physical systems and humans in mining with cyber-physical systems. Further, the technological, economic and social horizons of the transformation of Mining 4.0 into Mining 5.0 with specific threats of total digitalization are discussed.

Suggested Citation

  • Olga Zhironkina & Sergey Zhironkin, 2023. "Technological and Intellectual Transition to Mining 4.0: A Review," Energies, MDPI, vol. 16(3), pages 1-37, February.
    • Handle: RePEc:gam:jeners:v:16:y:2023:i:3:p:1427-:d:1053626
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    References listed on IDEAS

    as
    1. Guangui Zou & Hui Liu & Ke Ren & Bowen Deng & Jingwen Xue, 2022. "Automatic Recognition of Faults in Mining Areas Based on Convolutional Neural Network," Energies, MDPI, vol. 15(10), pages 1-18, May.
    2. Xiangrui Meng & Haoqian Chang & Xiangqian Wang, 2022. "Methane Concentration Prediction Method Based on Deep Learning and Classical Time Series Analysis," Energies, MDPI, vol. 15(6), pages 1-15, March.
    3. Maksim Dli & Andrei Puchkov & Valery Meshalkin & Ildar Abdeev & Rail Saitov & Rinat Abdeev, 2020. "Energy and Resource Efficiency in Apatite-Nepheline Ore Waste Processing Using the Digital Twin Approach," Energies, MDPI, vol. 13(21), pages 1-13, November.
    4. Leszek Chomacki & Janusz Rusek & Leszek Słowik, 2022. "Machine Learning Methods in Damage Prediction of Masonry Development Exposed to the Industrial Environment of Mines," Energies, MDPI, vol. 15(11), pages 1-23, May.
    5. Xin Fan & Jianyuan Cheng & Yunhong Wang & Sheng Li & Bin Yan & Qingqing Zhang, 2022. "Automatic Events Recognition in Low SNR Microseismic Signals of Coal Mine Based on Wavelet Scattering Transform and SVM," Energies, MDPI, vol. 15(7), pages 1-13, March.
    6. Łukasz Wojtecki & Sebastian Iwaszenko & Derek B. Apel & Tomasz Cichy, 2021. "An Attempt to Use Machine Learning Algorithms to Estimate the Rockburst Hazard in Underground Excavations of Hard Coal Mine," Energies, MDPI, vol. 14(21), pages 1-18, October.
    7. Paulina Gackowiec & Edyta Brzychczy & Marek Kęsek, 2021. "Enhancement of Machinery Activity Recognition in a Mining Environment with GPS Data," Energies, MDPI, vol. 14(12), pages 1-19, June.
    8. Akhil Joseph & Patil Balachandra, 2020. "Energy Internet, the Future Electricity System: Overview, Concept, Model Structure, and Mechanism," Energies, MDPI, vol. 13(16), pages 1-26, August.
    9. Anurag Yedla & Fatemeh Davoudi Kakhki & Ali Jannesari, 2020. "Predictive Modeling for Occupational Safety Outcomes and Days Away from Work Analysis in Mining Operations," IJERPH, MDPI, vol. 17(19), pages 1-17, September.
    10. Jaroslaw Wajs & Paweł Trybała & Justyna Górniak-Zimroz & Joanna Krupa-Kurzynowska & Damian Kasza, 2021. "Modern Solution for Fast and Accurate Inventorization of Open-Pit Mines by the Active Remote Sensing Technique—Case Study of Mikoszów Granite Mine (Lower Silesia, SW Poland)," Energies, MDPI, vol. 14(20), pages 1-17, October.
    11. Xiuli Wang & Fang Yao & Fushuan Wen, 2022. "Applications of Blockchain Technology in Modern Power Systems: A Brief Survey," Energies, MDPI, vol. 15(13), pages 1-22, June.
    12. Xiaodong Ji & Minjun Zhang & Yuanyuan Qu & Hai Jiang & Miao Wu, 2021. "Travel Dynamics Analysis and Intelligent Path Rectification Planning of a Roadheader on a Roadway," Energies, MDPI, vol. 14(21), pages 1-21, November.
    13. Jakub Janus & Piotr Ostrogórski, 2022. "Underground Mine Tunnel Modelling Using Laser Scan Data in Relation to Manual Geometry Measurements," Energies, MDPI, vol. 15(7), pages 1-15, March.
    14. Chenyang Liu & Yazeed Alrowaili & Neetesh Saxena & Charalambos Konstantinou, 2021. "Cyber Risks to Critical Smart Grid Assets of Industrial Control Systems," Energies, MDPI, vol. 14(17), pages 1-19, September.
    15. Naser Hossein Motlagh & Mahsa Mohammadrezaei & Julian Hunt & Behnam Zakeri, 2020. "Internet of Things (IoT) and the Energy Sector," Energies, MDPI, vol. 13(2), pages 1-27, January.
    16. Jianjian Yang & Boshen Chang & Yuzeng Zhang & Yucheng Zhang & Wenjie Luo, 2022. "PCViT: A Pre-Convolutional ViT Coal Gangue Identification Method," Energies, MDPI, vol. 15(12), pages 1-16, June.
    17. Kexue Zhang & Lei Kang & Xuexi Chen & Manchao He & Chun Zhu & Dong Li, 2022. "A Review of Intelligent Unmanned Mining Current Situation and Development Trend," Energies, MDPI, vol. 15(2), pages 1-19, January.
    18. Xiaofang Wo & Guichen Li & Yuantian Sun & Jinghua Li & Sen Yang & Haoran Hao, 2022. "The Changing Tendency and Association Analysis of Intelligent Coal Mines in China: A Policy Text Mining Study," Sustainability, MDPI, vol. 14(18), pages 1-14, September.
    19. Guozhen Zhang & Xiangang Cao & Mengyuan Zhang, 2021. "A Knowledge Graph System for the Maintenance of Coal Mine Equipment," Mathematical Problems in Engineering, Hindawi, vol. 2021, pages 1-13, November.
    20. Guanghui Xue & Ruixue Li & Shuang Liu & Jinbo Wei, 2022. "Research on Underground Coal Mine Map Construction Method Based on LeGO-LOAM Improved Algorithm," Energies, MDPI, vol. 15(17), pages 1-17, August.
    21. Jarosław Brodny & Magdalena Tutak, 2020. "The Use of Artificial Neural Networks to Analyze Greenhouse Gas and Air Pollutant Emissions from the Mining and Quarrying Sector in the European Union," Energies, MDPI, vol. 13(8), pages 1-31, April.
    22. Bożena Gajdzik & Sandra Grabowska & Sebastian Saniuk, 2021. "A Theoretical Framework for Industry 4.0 and Its Implementation with Selected Practical Schedules," Energies, MDPI, vol. 14(4), pages 1-24, February.
    23. Prerita Odeyar & Derek B. Apel & Robert Hall & Brett Zon & Krzysztof Skrzypkowski, 2022. "A Review of Reliability and Fault Analysis Methods for Heavy Equipment and Their Components Used in Mining," Energies, MDPI, vol. 15(17), pages 1-27, August.
    24. Magdalena Rozmus & Jarosław Tokarczyk & Dariusz Michalak & Marek Dudek & Kamil Szewerda & Marek Rotkegel & Aleš Lamot & Janez Rošer, 2021. "Application of 3D Scanning, Computer Simulations and Virtual Reality in the Redesigning Process of Selected Areas of Underground Transportation Routes in Coal Mining Industry," Energies, MDPI, vol. 14(9), pages 1-21, May.
    25. Xiaobo Liu & Lei Yang & Xingfan Zhang, 2019. "A Model to Predict Crosscut Stress Based on an Improved Extreme Learning Machine Algorithm," Energies, MDPI, vol. 12(5), pages 1-15, March.
    26. Olivencia Polo, Fernando A. & Ferrero Bermejo, Jesús & Gómez Fernández, Juan F. & Crespo Márquez, Adolfo, 2015. "Failure mode prediction and energy forecasting of PV plants to assist dynamic maintenance tasks by ANN based models," Renewable Energy, Elsevier, vol. 81(C), pages 227-238.
    27. Jieun Baek & Yosoon Choi, 2018. "A New GIS-Based Algorithm to Support Initial Transmitter Layout Design in Open-Pit Mines," Energies, MDPI, vol. 11(11), pages 1-19, November.
    28. Przemyslaw Dabek & Jaroslaw Szrek & Radoslaw Zimroz & Jacek Wodecki, 2022. "An Automatic Procedure for Overheated Idler Detection in Belt Conveyors Using Fusion of Infrared and RGB Images Acquired during UGV Robot Inspection," Energies, MDPI, vol. 15(2), pages 1-20, January.
    29. Hua Feng & Fengyan Wang & Guomin Song & Lanlan Liu, 2022. "Digital Transformation on Enterprise Green Innovation: Effect and Transmission Mechanism," IJERPH, MDPI, vol. 19(17), pages 1-31, August.
    30. Amad Ullah Khan & Saad Salman & Khan Muhammad & Mudassar Habib, 2022. "Modelling Coal Dust Explosibility of Khyber Pakhtunkhwa Coal Using Random Forest Algorithm," Energies, MDPI, vol. 15(9), pages 1-20, April.
    31. Adolfo Crespo Márquez & Antonio de la Fuente Carmona & Sara Antomarioni, 2019. "A Process to Implement an Artificial Neural Network and Association Rules Techniques to Improve Asset Performance and Energy Efficiency," Energies, MDPI, vol. 12(18), pages 1-25, September.
    32. Bartłomiej Ziętek & Aleksandra Banasiewicz & Radosław Zimroz & Jarosław Szrek & Sebastian Gola, 2020. "A Portable Environmental Data-Monitoring System for Air Hazard Evaluation in Deep Underground Mines," Energies, MDPI, vol. 13(23), pages 1-18, November.
    33. Lingyun Kong & Mehdi Ostadhassan & Siavash Zamiran & Bo Liu & Chunxiao Li & Gennaro G. Marino, 2019. "Geomechanical Upscaling Methods: Comparison and Verification via 3D Printing," Energies, MDPI, vol. 12(3), pages 1-20, January.
    34. Sergey Zhironkin & Dawid Szurgacz, 2022. "Mining Technologies Innovative Development: Industrial, Environmental and Economic Perspectives," Energies, MDPI, vol. 15(5), pages 1-5, February.
    35. Kexue Zhang & Junao Zhu & Manchao He & Yaodong Jiang & Chun Zhu & Dong Li & Lei Kang & Jiandong Sun & Zhiheng Chen & Xiaoling Wang & Haijiang Yang & Yongwei Wu & Xingcheng Yan, 2022. "Research on Intelligent Comprehensive Evaluation of Coal Seam Impact Risk Based on BP Neural Network Model," Energies, MDPI, vol. 15(9), pages 1-14, April.
    36. Paweł Kamiński & Artur Dyczko & Dariusz Prostański, 2021. "Virtual Simulations of a New Construction of the Artificial Shaft Bottom (Shaft Safety Platform) for Use in Mine Shafts," Energies, MDPI, vol. 14(8), pages 1-15, April.
    37. Jarosław Szrek & Janusz Jakubiak & Radoslaw Zimroz, 2022. "A Mobile Robot-Based System for Automatic Inspection of Belt Conveyors in Mining Industry," Energies, MDPI, vol. 15(1), pages 1-16, January.
    38. Denis Sidorov & Fang Liu & Yonghui Sun, 2020. "Machine Learning for Energy Systems," Energies, MDPI, vol. 13(18), pages 1-6, September.
    39. Yuxin Huang & Jingdao Fan & Zhenguo Yan & Shugang Li & Yanping Wang, 2022. "A Gas Concentration Prediction Method Driven by a Spark Streaming Framework," Energies, MDPI, vol. 15(15), pages 1-13, July.
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    Cited by:

    1. Uz Zaman, Qamar & Zhao, Yuhuan & Zaman, Shah & Batool, Kiran & Nasir, Rabiya, 2024. "Reviewing energy efficiency and environmental consciousness in the minerals industry Amidst digital transition: A comprehensive review," Resources Policy, Elsevier, vol. 91(C).
    2. Sergey Zhironkin & Fares Abu-Abed, 2024. "Fossil Fuel Prospects in the Energy of the Future (Energy 5.0): A Review," Energies, MDPI, vol. 17(22), pages 1-25, November.
    3. Francis Pavloudakis & Christos Roumpos & Philip-Mark Spanidis, 2024. "Sustainable Mining and Processing of Mineral Resources," Sustainability, MDPI, vol. 16(19), pages 1-8, September.
    4. Barata, João & Kayser, Ina, 2024. "How will the digital twin shape the future of industry 5.0?," Technovation, Elsevier, vol. 134(C).

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