A digital twin of the manufacturing system as a stage in the new digital business model of an industrial company

DOI: https://doi.org/10.30686/1609-9192-2023-2-62-68

T.S. Sakhapova, T.Sh. Ismagilov, V.A. Tikhonov AZOTTECH LLC, Moscow, Russian Federation Russian Mining Industry №1 / 2023 р. 62-68

Abstract: Industrial engineering in conditions of the digital economy is setting trends towards introduction of new digital solutions. Studies of Russian and foreign researchers identify four areas of digital technology development: cloud services, Internet of Things, big data analytics and artificial intelligence technologies. Following the trends of the Russian industrial development, mining companies are introducing automation of production facilities and big data analytics. At one of its automated production lines for manufacturing non-explosive components of explosives, AZOTTECH LLC has implemented a digital twin project that enables remote control and management of the technological process to prepare components for explosives, as well as monitoring of the technological equipment health and conducting predictive analysis of the key units of the technological process. The digital twin is built on a dedicated analytical platform that visualizes the hazardous production facility and the process equipment. The modular architecture of this platform offers structured storage of the facility information based on an interactive map, prompt user notification of deviations in performance indicators and generation of reports based on the performance data. The digital twin of the manufacturing system is part of the company's digital transformation, which affects all stages in the product lifecycle and addresses several important tasks in the implementation phase of the digital business model.

Keywords: Industry 4.0, digitalization, digital transformation, big data analytics, digital twin

For citation: Sakhapova T.S., Ismagilov T.Sh., Tikhonov V.A. A digital twin of the manufacturing system as a stage in the new digital business model of an industrial company. Russian Mining Industry. 2023;(2):62–68. https://doi.org/10.30686/1609-9192-2023-2-62-68

Article info

Received: 23.03.2023

Revised: 11.04.2023

Accepted: 14.04.2023

Information about the authors

Tatyana S. Sakhapova – Technical Writer, AZOTTECH LLC, Moscow, Russian Federation; e-mail: This email address is being protected from spambots. You need JavaScript enabled to view it.

Timur Sh. Ismagilov – Director IT, AZOTTECH LLC, Moscow, Russian Federation

Vitaly A. Tikhonov – Director General, AZOTTECH LLC, Moscow, Russian Federation

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