UDC 004.9: 621
DOI: 10.36871/ek.up.p.r.2025.04.14.033
Authors
Alexander L. Zolkin,
Ph.D. (Engineering), Associate Professor of the Department of
Informatics and Robotic Systems, Povolzhskiy State University of
Telecommunications and Informatics (PGUTY), Samara, Russia
Svetlana G. Nikolaeva,
Kazan State Energy University,
Kazan, Russia
Yakhita S. Islamgereeva,
A. A. Kadyrov Chechen State University, Grozny, Russia
Abstract
Digital twins are becoming a tool for deep transformation of industrial systems, providing a dynamic digital representation of a physical object, process, or system with the ability to interact in real time. The integration of digital twins into production chains enables the synchronization of virtual and physical environments, optimization of product life cycles, cost reduction, and improved equipment reliability. This article examines the conceptual and technological foundations of digital twins, their architecture, areas of industrial application, economic efficiency, as well as institutional constraints and development prospects in the context of the transition to cyber-physical production systems.
Keywords
digital twin, industrial digitalization, predictive maintenance, digital modeling, cyber-physical system, product life cycle, Industry 4.0, virtual synchronization, industrial internet of things, ROI model
