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Author: Admin | 2025-04-28
And during the wholeli marketdemands and design o the demand and recycling oreswider applications owing to their positive eect on innova-tion, income growth, and concessionally lexibility. Assisted by remote Bigngineers generate digital twins of facilities and objects withimproved prediction o structural compo-nents and optimized maintenance and repair. The use oective when it is impossible to utilize a physical object, or its-tions of confined areas of underground mines [1, Associate Professor of Department for Automation of Production Process Flows, Candidate of En, Dean of Mineral Processin, Head of Department for Automation of Production Process Flows, Doctor of En Sciences, Associate Professor University, Saint-PetersburTHE CONCEPT OF DIGITAL TWINS FOR TECHRMINING AND PROCESSING INDUSTRYmining science strategy, it is highly critical to arrange enhanced control, prediction and safety o sus-tainable development in mining makes it possible to reduce technological deviations and acci-dents at larow operators. Damage in te,especially as compared with the expenses connected with qualitative trainindevelopment of personnel ened with supervisory control and data acquisition for the efficienital systems and their interrelation with multilevel automated control can ization processes using suc-ligence. Often applied formulations and principles of a digital model are substituted withouining sta-tions with numerical program control. It is necessary to define the practical significance of con-ceptuaprovide prompt prediction; to eliminate an accident; and to preserve the phbased simulators and digital twins based on technologies of Industry 4.0–extended and virtuareality on the basis of digital twins. Digital twins allow maximal simulation of real-life activitency situations in minerawords: mining and processing industry, digital twin, simulator, transformation, intelent system, SCADA-system, production safety, trainin, extended reality, dynamic modelin© Beloglazov I. I., Petrov P. A., Bazhin V. Yu., 1EURAS IAN MINING. 2020. No. 2. pp. 50–5 4Today, the digital twin technology is at its inception stage and is a component of Industry 4.0 including, among other things, smart production, global Internet of Things and Internet of ervices networks, and large-scale cloud computing. Modeling becomes a part of the process in which a digital twin is tightly integrated into design and operation procedures alongside with artificial intelligence and machine learning.Digital simulators The systems of dynamic modeling and
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