Belarusian National Technical University, Minsk, Belarus:

A. K. Gets, Associate Professor, Candidate of Engineering Sciences, Gets.a@bntu.by
S. G. Onika, Head of a Chair, Professor, Doctor of Engineering Sciences

KANEX Group, Moscow, Russia:

B. A. Vishnyak, Candidate of Engineering Sciences

Belaruskali, Soligorsk, Belarus:

A. S. Dolgikh, Chief Engineer at Mine Management III

Uneven quality of ore feed to a milling plant makes considerable difficulties in processing. The national and foreign experience, analytical calculations and special experiments prove that reduction in quality variation of crude ore fed for the processing leads to an essential increase in production efficiency, to improvement of final product quality and to simultaneous economy. The article describes the research findings on implementation of a two-level management digitization model for a mining and processing integrated works based on the simulation and mathematical model of production cycle processes. With regard to the developed procedure for description of process flows, an automatic process control system is proposed for the underground and surface mine infrastructure management using a single information and maintenance support. Considering actual background of Belaruskali mines and mills in terms of local automation of certain processing circuits, as well as based on the development and introduction of the concept of digitization of rating, modeling and prediction of process flow parameters for ore preparation, extraction and milling, using the modern methods and means of the mining and processing works management, it is possible to create an integrated automated on-line management system for all process flows. This system allows following-up of operation in any face and on any level in a mine, as well as any process stage at a milling factory and checking their compliance with the control criteria.

1. Bauman A. V. Concentrating plants thickening circuits and return water systems design problem areas. Obogashchenie Rud. 2016. No. 3. pp. 58–62. DOI: 10.17580/or.2016.03.10
2. Viduetskiy M. G., Garifulin I. F., Yochev I. Sh., Purgin A. P. Application of flotation devices of the CFM series in the scheme of enrichment of lead-zinc ores at the modular concentrator “Rudmetal” AD (Bulgaria). Tsvetnye Metally. 2018. No. 5. pp. 9–16. DOI: 10.17580/tsm.2018.05.01
3. Parievskiy E. V., Dzansolov I. V., Borodina E. K., Shilovskaya G. G. M odernization and expansion of Norilsk concentrator for disseminated ore feed processing. Tsvetnye Metally. 2015. No. 6. pp. 24–27. DOI: 10.17580/tsm.2015.06.05
4. Gets A. K., Onika S. G. To the issue of ore quality management on a potash mine. Gornaya mekhanika i mashinostroenie. 2016. No. 1. pp. 27–30.
5. Vishnyak B. A. Automated control of processes of averaging of ore quality, slimes’ thickening, concentrate leaching and drying of finished product at sylvinite concentration plants of Belaruskali JSC. Technology of mining operations and manufacturing of machines and mechanisms for mining industry : collection of scientific proceedings. Perm, 2007. No. 3. pp. 121–139.
6. Gets A. K., Kruk Yu. S., Ostapuk M. I., Omsharuk A. S. Computer modelling of the process of dynamic quality management of potash oreat the mine. Gornaya mekhanika i mashinostroenie. 2017. No. 4. pp. 7–13.
7. Vishnyak B. A., Pozdeev A. A., Turko M. R. Processing technology and automation of process flows at potash flotation mills. Perm : Izdatelstvo Permskogo natsionalnogo issledovatelskogo politekhnicheskogo universiteta, 2011. 239 p.
8. Pozdeev A. A., Vishnyak B. A., Burshteyn S. M. Device for controlling system of underground conveyors. Patent RF, No 2566324. Applied: 23.06.2014. Published: 20.10.2015. Bulletin No. 29.
9. Lööw J., Abrahamsson L., Johansson J. Mining 4.0—the Impact of New Technology from a Work Place Perspective. Mining, Metallurgy & Exploration. 2019. Vol. 36. Iss. 4. P. 701–707.
10. Young A., Rogers P. A Review of Digital Transformation in Mining. Mining Metallurgy & Exploration. 2019. Vol. 36, Iss. 4. pp. 683–699.
11. Suppes R., Feldmann Y., Abdelrazeq A., Daling L. Virtual reality mine: A vision for digitalised mining engineering education. Mining goes Digital : Proceedings of the 39^th International Symposium ‘Application of Computers and Operations Research in the Mineral Industry’ (APCOM 2019). London : CRC Press, 2019. Vol. 3. pp. 17–24.
12. Wellmer F.-W., Scholz R. W. What Is the Optimal and Sustainable Lifetime of a Mine? Sustainability. 2018. Vol. 10, Iss. 2. 480. DOI: 10.3390/su10020480
13. Schuster R., Voigt N., Nath G., Louw N. Possibilities of digital technologies for transformation of value chains in metallurgy and metalworking. Chernye Metally. 2019. No. 3. pp. 59–62.
14. Reifferscheid M. Ideas, techniques and decisions for application of digital technologies in ferrous metallurgy. Chernye Metally. 2018. No. 6. pp. 62–67.