IDEAS home Printed from https://ideas.repec.org/a/gam/jeners/v16y2023i3p1427-d1053626.html
   My bibliography  Save this article

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
    as

    Download full text from publisher

    File URL: https://www.mdpi.com/1996-1073/16/3/1427/pdf
    Download Restriction: no
    File URL: https://www.mdpi.com/1996-1073/16/3/1427/
    Download Restriction: no
    ---><---

    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. 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.
    4. 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.
    5. 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.
    6. 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.
    7. 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.
    8. 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.
    9. 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.
    10. 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.
    11. 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.
    12. 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.
    13. 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.
    14. 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.
    15. 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.
    16. 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.
    17. 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.
    18. Sergey Zhironkin & Dawid Szurgacz, 2022. "Mining Technologies Innovative Development: Industrial, Environmental and Economic Perspectives," Energies, MDPI, vol. 15(5), pages 1-5, February.
    19. 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.
    20. 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.
    21. 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.
    22. 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.
    23. 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.
    24. 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.
    25. 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.
    26. 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.
    27. 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.
    28. 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.
    29. 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.
    30. 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.
    31. 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.
    32. 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.
    33. 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.
    34. 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.
    35. 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.
    36. 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.
    37. 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.
    38. 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.
    39. Denis Sidorov & Fang Liu & Yonghui Sun, 2020. "Machine Learning for Energy Systems," Energies, MDPI, vol. 13(18), pages 1-6, September.
    Full references (including those not matched with items on IDEAS)

    Citations

    Citations are extracted by the CitEc Project, subscribe to its RSS feed for this item.
    as


    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. Francis Pavloudakis & Christos Roumpos & Philip-Mark Spanidis, 2024. "Sustainable Mining and Processing of Mineral Resources," Sustainability, MDPI, vol. 16(19), pages 1-8, September.
    3. Barata, João & Kayser, Ina, 2024. "How will the digital twin shape the future of industry 5.0?," Technovation, Elsevier, vol. 134(C).

    Most related items

    These are the items that most often cite the same works as this one and are cited by the same works as this one.
    1. Sergey Zhironkin & Elena Dotsenko, 2023. "Review of Transition from Mining 4.0 to 5.0 in Fossil Energy Sources Production," Energies, MDPI, vol. 16(15), pages 1-35, August.
    2. Longjun Dong & Yanlin Zhao & Wenxue Chen, 2022. "Mining Safety and Sustainability—An Overview," Sustainability, MDPI, vol. 14(11), pages 1-6, May.
    3. Sergey Zhironkin & Magerram Gasanov & Yulia Suslova, 2022. "Orderliness in Mining 4.0," Energies, MDPI, vol. 15(21), pages 1-8, November.
    4. Paweł Bogacz & Łukasz Cieślik & Dawid Osowski & Paweł Kochaj, 2022. "Analysis of the Scope for Reducing the Level of Energy Consumption of Crew Transport in an Underground Mining Plant Using a Conveyor Belt System Mining Plant," Energies, MDPI, vol. 15(20), pages 1-16, October.
    5. Aleksander Jakimowicz, 2022. "The Energy Transition as a Super Wicked Problem: The Energy Sector in the Era of Prosumer Capitalism," Energies, MDPI, vol. 15(23), pages 1-31, December.
    6. Karol Semrád & Katarína Draganová, 2022. "Non-Destructive Testing of Pipe Conveyor Belts Using Glass-Coated Magnetic Microwires," Sustainability, MDPI, vol. 14(14), pages 1-15, July.
    7. Lin He & Dongliang Yuan & Lianwei Ren & Ming Huang & Wenyu Zhang & Jie Tan, 2023. "Evaluation Model Research of Coal Mine Intelligent Construction Based on FDEMATEL-ANP," Sustainability, MDPI, vol. 15(3), pages 1-21, January.
    8. Pachouri, Vikrant & Singh, Rajesh & Gehlot, Anita & Pandey, Shweta & Vaseem Akram, Shaik & Abbas, Mohamed, 2024. "Empowering sustainability in the built environment: A technological Lens on industry 4.0 Enablers," Technology in Society, Elsevier, vol. 76(C).
    9. Jicheng Wan & Xuhui Zhang & Chao Zhang & Wenjuan Yang & Mengyu Lei & Yuyang Du & Zheng Dong, 2023. "Vision and Inertial Navigation Combined-Based Pose Measurement Method of Cantilever Roadheader," Sustainability, MDPI, vol. 15(5), pages 1-16, February.
    10. Peters, Lennart & Madlener, Reinhard, 2017. "Economic evaluation of maintenance strategies for ground-mounted solar photovoltaic plants," Applied Energy, Elsevier, vol. 199(C), pages 264-280.
    11. Shizhe Li & Zhaofeng Wang, 2023. "Study on the Coupling Effect of Stress Field and Gas Field in Surrounding Rock of Stope and Gas Migration Law," Energies, MDPI, vol. 16(18), pages 1-20, September.
    12. Alexey Y. Bykovsky & Nikolay A. Vasiliev, 2023. "Parametrical T -Gate for Joint Processing of Quantum and Classic Optoelectronic Signals," J, MDPI, vol. 6(3), pages 1-27, July.
    13. Nallapaneni Manoj Kumar & Aneesh A. Chand & Maria Malvoni & Kushal A. Prasad & Kabir A. Mamun & F.R. Islam & Shauhrat S. Chopra, 2020. "Distributed Energy Resources and the Application of AI, IoT, and Blockchain in Smart Grids," Energies, MDPI, vol. 13(21), pages 1-42, November.
    14. He, Zhaoyu & Guo, Weimin & Zhang, Peng, 2022. "Performance prediction, optimal design and operational control of thermal energy storage using artificial intelligence methods," Renewable and Sustainable Energy Reviews, Elsevier, vol. 156(C).
    15. Matteo Vaccargiu & Andrea Pinna & Roberto Tonelli & Luisanna Cocco, 2023. "Blockchain in the Energy Sector for SDG Achievement," Sustainability, MDPI, vol. 15(20), pages 1-23, October.
    16. 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.
    17. Athanasios Tsipis & Asterios Papamichail & Ioannis Angelis & George Koufoudakis & Georgios Tsoumanis & Konstantinos Oikonomou, 2020. "An Alertness-Adjustable Cloud/Fog IoT Solution for Timely Environmental Monitoring Based on Wildfire Risk Forecasting," Energies, MDPI, vol. 13(14), pages 1-35, July.
    18. Abdul Hasib Siddique & Mehedi Hasan & Sharnali Islam & Khalid Rashid, 2021. "Prospective Smart Distribution Substation in Bangladesh: Modeling and Analysis," Sustainability, MDPI, vol. 13(19), pages 1-20, September.
    19. Ge Zhang & Yuxiang Gao & Gaoyong Li, 2023. "Research on Digital Transformation and Green Technology Innovation—Evidence from China’s Listed Manufacturing Enterprises," Sustainability, MDPI, vol. 15(8), pages 1-23, April.
    20. Miguel A. Rodríguez-López & Luis M. López-González & Luis M. López-Ochoa & Jesús Las-Heras-Casas, 2018. "Methodology for Detecting Malfunctions and Evaluating the Maintenance Effectiveness in Wind Turbine Generator Bearings Using Generic versus Specific Models from SCADA Data," Energies, MDPI, vol. 11(4), pages 1-22, March.

    Corrections

    All material on this site has been provided by the respective publishers and authors. You can help correct errors and omissions. When requesting a correction, please mention this item's handle: RePEc:gam:jeners:v:16:y:2023:i:3:p:1427-:d:1053626. See general information about how to correct material in RePEc.

    If you have authored this item and are not yet registered with RePEc, we encourage you to do it here. This allows to link your profile to this item. It also allows you to accept potential citations to this item that we are uncertain about.

    If CitEc recognized a bibliographic reference but did not link an item in RePEc to it, you can help with this form .

    If you know of missing items citing this one, you can help us creating those links by adding the relevant references in the same way as above, for each refering item. If you are a registered author of this item, you may also want to check the "citations" tab in your RePEc Author Service profile, as there may be some citations waiting for confirmation.

    For technical questions regarding this item, or to correct its authors, title, abstract, bibliographic or download information, contact: MDPI Indexing Manager (email available below). General contact details of provider: https://www.mdpi.com .

    Please note that corrections may take a couple of weeks to filter through the various RePEc services.

    IDEAS is a RePEc service. RePEc uses bibliographic data supplied by the respective publishers.