Engineering and Technology
| Open Access |
DOI: Application of Digital Twin Technology in Industrial Process Automation
Maksudov Nusratullo Fatxullayevich , PhD student, Department of Automatic Control and Computer Engineering, Turin Polytechnic University in Tashkent, Uzbekistan To‘ychiyev Olimjon Alijonovich , Doctor of Technical Sciences, Associate Professor, Turin Polytechnic University in Tashkent, UzbekistanAbstract
Digital Twin technology has become one of the key component of Industry 4.0 and smart manufacturing systems. The concept enables real-time synchronization between physical industrial assets and their virtual representations. This research investigates the architecture, mathematical models, and predictive algorithms used in Digital Twin systems for industrial automation. A comprehensive mathematical framework based on dynamic system modeling, data-driven analytics, and predictive maintenance algorithms is proposed. Experimental analysis demonstrates that the implementation of Digital Twin technology improves monitoring accuracy, reduces downtime, and increases production efficiency. The proposed system integrates sensor networks, industrial IoT, cloud computing, and machine learning algorithms to optimize industrial operations.
Keywords
Digital Twin, Industry 4.0, Industrial automation
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Copyright (c) 2026 Maksudov Nusratullo Fatxullayevich, To‘ychiyev Olimjon Alijonovich
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