Journals →  Gornyi Zhurnal →  2020 →  #9 →  Back

DIGITAL TECHNOLOGIES
ArticleName Digital transformation of mining industry: Past, Present and Future
DOI 10.17580/gzh.2020.09.01
ArticleAuthor Lukichev S. V., Nagovitsin O. V.
ArticleAuthorData

Mining Institute, Kola Science Center, Russian Academy of Sciences, Apatity, Russia:

S. V. Lukichev, Director, Doctor of Engineering Sciences, s.lukichev@ksc.ru
O. V. Nagovitsin, Deputy Director, Doctor of Engineering Sciences

Abstract

The paper describes the principal features of applying digital technologies in mining when switching to Industry 4.0 and presents the technological and economic consequences. The authors show evolution of information technologies in mining from the mid-1960s up to the present day. The Mining and Geological Information System (MGIS) MINEFRAME is used as an example to demonstrate potential of modern geoinformation systems in solving various tasks such as geological modeling and reserve estimation, survey support, as well as design and planning of mining operations. MINEFRAME’s structure and functionality allows creating a computer technology of engineering support of open and underground mining for certain mine conditions. This makes it possible to come to generation of united digital technological space of a mine and, based on it, to create robotized mining technologies. One of the ways of optimizing technological decisions is application of a system approach through modeling of geotechnical objects and processes in mines. The wide range of tasks of mining digitalization and a big share of the scientific component suppose high degree of cooperation to be carried out by different scientific teams and manufacturers of modern mining equipment. The authors make a conclusion on necessary integration of decisions in digital modeling of mining objects and processes with creation of a domestic digital MGIS platform.
The studies were carried out under state assignment No. 0226-2019-0062.

keywords Industry 4.0, digital twins, mining operations, mining and geological information system, MINEFRAME, digital transformation
References

1. Huang L., Balamurali M., Silversides K. L. Machine learning classification of geochemical and geophysical data. Mining Goes Digital : Proceedings of the 39th International Symposium “Application of Computers and Operations Research in the Mineral Industry”. Proceedings in Earth and geosciences series. London : Taylor & Francis Group, 2019. Vol. 3. pp. 101–105.
2. Feng S., Ding E. Designing top layer in Internet of Things for underground mines. Mining Goes Digital : Proceedings of the 39th International Symposium “Application of Computers and Operations Research in the Mineral Industry”. Proceedings in Earth and geosciences series. London : Taylor & Francis Group, 2019. Vol. 3. pp. 695–702.
3. Canart G., Kowalik L., Moyo M., Raj Kumar Ray. Has global mining productivity reversed course? McKinsey & Company, 2020. Available at: https://www.mckinsey.com/industries/metals-andmining/our-insights/has-global-mining-productivity-reversed-course (accessed: 02.06.2020).
4. Iron Ore. RioTinto, 2020. Available at: https://www.riotinto.com/products/iron-ore (accessed: 02.06.2020).
5. Computer-aided engineering and management information systems for mines: Design and application. Head-notes of All-Russian Conference Proceedings. In two volumes. Alma-Ata : KazPTI, 1987.
6. Klebanov A. F. Automation and robotization in opencast mining: experience in digital transformation. Gornaya promyshlennost. 2020. No. 1(149). pp. 8–11.
7. Nagovitsyn O. V., Lukichev S. V. Current state and prospects for the development of mining and geological information systems. GIAB. 2017. Special issue 23. Information technologies in implementation of ecological strategy in the mining industry development. pp. 53–67.
8. Khokhryakov V. S. Technical and economic framework for mathematical modeling of open pit mine. Izvestiya vuzov. Gornyi zhurnal. 1963. No. 11. pp. 59–63.
9. Rzhevsky V. V. (Ed.). Experience of application of modern mathematical modeling methods and computers in open pit mine planning and design. Moscow : TsNIEIugol, 1967. 71 p.
10. Vinnitsky K. E., Reentovich E. I. Application of mathematical methods in open pit mine planning. Moscow : TSNIEIugol, 1968. 113 p.
11. Matheron G. Traité de géostatistique appliquée. Paris, 1962. Tome. 1. 334 p.
12. Shakhmeister Sh. Ya., Arseniev S. Ya., Prudovsky A. D. et al. Application of mathematical methods and computer machines in mine design. Gornyi Zhurnal. 1969. No. 8. pp. 12–16.
13. Nasonov I. D. Modeling of mining processes. Moscow : Nedra, 1969. 206 p.
14. Vasiliev M. V., Alenichev V. M., Sivkov M. N. Computer storage of mining-geological information. Journal of Mining Science. 1974. Vol. 10, No. 4. pp. 461–466.
15. Khokhryakov V. S., Yashkin A. Z. Mathematical modeling of structurally complex multi-component deposits. Izvestiya vuzov. Gornyi zhurnal. 1976. No. 9. pp. 3–6.
16. Simkin B. A., Shkuta Yu. K. Analytical modeling of mineral deposits and open pit mining operations. Moscow : Nauka 1976. 152 p.
17. Grigorenko A. G. Statistical methods in mineral exploration. Kiev : Tekhnika, 1974. 208 p.
18. Lukichev S. V., Nagovitsyn O. V. Modeling objects and processes within a mining technology as a framework for a system approach to solve mining problems. Journal of Mining Science. 2018. Vol. 54, Iss. 6. pp. 1041–1049.
19. Kozyrev A. A., Lukichev S. V., Nagovitsyn O. V., Semenova I. E. Technological and geomechanical modelling for mining safety improvement. Application of Computers and Operations Research in the Mineral Industry : Proceedings of the 37th International Symposium APCOM 2015. Fairbanks, 2015. pp. 411–419.
20. Lukichev S. V., Nagovitsyn O. V., Ilin E. A., Rudin R. S. Digital technologies for sustainable engineering in mining – The first step towards a “smart mine”. Gornyi Zhurnal. 2018. No. 7. pp. 86–90. DOI: 10.17580/gzh.2018.07.17
21. Manyika J., Lund S., Chui M., Bughin J., Woetzel J. et al. Jobs lost, jobs gained: What the future of work will mean for jobs, skills, and wages. McKinsey & Company, 2017. Available at: https://www.mckinsey.com/featured-insights/future-of-work/jobs-lost-jobs-gained-what-the-futureof-work-will-mean-for-jobs-skills-and-wages (accessed: 06.05.2020).
22. Zemtsov S. P. Robotization potential and nescience economy in regions in Russia. XX April International Conference on Economy and Society Development Problems. Moscow : NIU VShE, 2018.
23. Anistratov K. Yu. (Ed.). Open pit mining – The 21st century. Reference book. Moscow : Sistema maksimum. 2019. Vol. 2. 872 p.
24. Klebanov A. F. Development of principles of integrated information system and its interaction with the Karier dispatch control system. GIAB. 2014. No. 10. pp. 314–320.
25. Dimitrakopoulos R. Advances in Applied Strategic Mine Planning. Cham : Springer, 2018. 800 p.

Language of full-text russian
Full content Buy
Back