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Original Paper

UDC 622.831+502.604 © M.L. Zhuravkov, A.V. Nikolaev, A.V. Kychkin, a.A. presnyakov, 2023

ISSN 0041-5790 (Print) • ISSN 2412-8333 (Online) • Ugol’ – Russian Coal Journal, 2023, № 9, pp. 55-62

DOI: http://dx.doi.org/10.18796/0041-5790-2023-9-55-62




Zhuravkov M.L.1, Nikolaev A.V.2, Kychkin A.V.3, presnyakov a.A.2

1 Belarusian State University, Minsk, 220030, Republic of Belarus

2 Perm National Research Polytechnic University, Perm, 614990, Russian Federation

3National Research University Higher Schoolof Economics, Branch in Perm, Perm, 614070, Russian Federation

Authors information

Zhuravkov M.L., Doctor of Physics and Mathematics Sciences, Professor, Head of Theoretical and Applied Mechanics Department, e-mail: zhuravkov@bsu.by

Nikolaev A.V., Doctor of Engineering Sciences, Associate Professor, Professor of the Mining Electromechanics Department, e-mail: nikolaev0811@mail.ru

Kychkin, A.V., PhD (Engineering), Associate Professor, Head of the Scientific and Educational Laboratory, e-mail: aleksey.kychkin@gmail.com

Presnyakov A.A., Student of the Mining Electromechanics Department, e-mail: arseny8950@gmail.com


This paper presents the experience of research and development of digital technologies to improve the efficiency of underground mining enterprise (UMAE) in the aspect of ventilation system energy demand management tasks. Typical digital transformation tools on the example of the automated corporate system of regional geomechanical monitoring (GRM) are presented. Functional and algorithmic possibilities of the mining and geological information system (GGIS) built in the SRMS are shown. Examples of problem realisation in the subsystems of geological - mine-surveyor accompaniment of mining works; CAD of mining works; intellectual system of analysis, interpretation and processing of primary information from GGIS; an example of operation of the "self-correcting" system for computing shifts and deformations of the surface in new mining-geological and mining-technical conditions is given. It is shown how a set of digital twins of objects and processes of the PGDP ventilation system, when integrated into the GIS, can be used for dynamic energy resource management.


Electricity Demand Response, Digital Transformations, Underground Mining, Short-Term Load Forecasting, Digital Twin.


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Acknowledgements: The study was carried out with the financial support of the Government of the Perm Territory within the framework of the International Research Group “Development of a digital model for forecasting and price-dependent demand response for electricity consumed by the underground mining enterprises” project, 2020 (agreement N С 26/506 dated 09.03.2021.)

For citation

Zhuravkov M.L., Nikolaev A.V., Kychkin A.V. & presnyakov a.A. Research of the digital transformation tools for the underground mining enterprises from an electricity demand response perspective. Ugol’, 2023, (9), pp. 55-62. (In Russ.). DOI: 10.18796/0041-5790-2023-9-55-62.

Paper info

Received March 14, 2023

Reviewed August 14, 2023

Accepted August 25, 2023


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