New approaches to improving efficiency of automated control over ore pretreatment process stages

The efficient use of mineral resources is a top priority objective in the mining and processing industry. The on-line testing of qualitative and quantitative characteristics of ore flows and the control over the whole product value chain are the obligatory conditions of effective production. It is expedient to develop proprietary hardware and software solutions to maintain profitability of operating mining and processing plants in the conditions of technological and economic isolation. This article discusses digital platforms designed by the world’s leading companies for the implementation of multilevel control over flow processes in mineral mining and processing. The authors propose a domestic alternative to implementing advanced approaches to upgrading process stages in ore pretreatment—intelligent control system RAZUM. The system uses the mathematical formalization of technological processes with regard to inaccuracy of laboratory measurements and material flows. The control involves multiparameter controllers of different processes by one or a few target parameters, and takes into account the dynamic wear of equipment as well as the change in the physicochemical properties of raw materials. The use of the digital twins of the process stages allows modeling different variants of operating modes of equipment and the whole value chain depending on the required quality of the final product and properties of the initial feedstock.

Keywords: mining industry, ore pretreatment, ore processing, automated system, digital twins, analytical systems, import substitution, material flow control, intelligent control system RAZUM.
For citation:

mining industry, ore pretreatment, ore processing, automated system, digital twins, analytical systems, import substitution, material flow control

Acknowledgements:
Issue number: 2
Year: 2024
Page number: 76-92
ISBN: 0236-1493
UDK: 622.23.05+622.6
DOI: 10.25018/0236_1493_2024_2_0_76
Article receipt date: 25.05.2023
Date of review receipt: 15.09.2023
Date of the editorial board′s decision on the article′s publishing: 10.01.2024
About authors:

A.S. Anufriev, Development Director, Engineering Laboratory LLC, 197341, Saint-Petersburg, Russia, e-mail: a@ануфриев.рф,
E.A. Lebedik1, Cand. Sci. (Eng.), Assistant Lecturer, e-mail: Lebedik_EA@pers.spmi.ru, ORCID ID: 0009-0008-5852-1411,
V.Yu. Bazhin1, Dr. Sci. (Eng.), Professor, e-mail: bazhin-alfoil@mail.ru, ORCID ID: 0000-0001-8231-3833,
1 Empress Catherine II Saint-Petersburg Mining University, 199106, Saint-Petersburg, Russia.

 

For contacts:

E.A. Lebedik, e-mail: Lebedik_EA@pers.spmi.ru.

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