APPLICATION OF DIGITAL TWIN TECHNOLOGY IN INDUSTRIAL PROCESS AUTOMATION
DOI :
https://doi.org/10.5281/zenodo.18976527Résumé
The rapid development of Industry 4.0 technologies has significantly transformed industrial automation systems. One of the most promising technologies in this field is the Digital Twin concept, which enables the creation of a virtual representation of physical industrial systems. This paper investigates the application of Digital Twin technology in industrial process automation. The proposed framework integrates industrial sensors, IoT communication infrastructure, cloud computing, and predictive analytics algorithms. A mathematical model based on dynamic system representation and machine learning methods is proposed for monitoring and predicting system behavior. Experimental analysis demonstrates that the implementation of Digital Twin technology improves monitoring accuracy, reduces equipment downtime, and increases production efficiency. The results indicate that Digital Twin systems can significantly enhance decision-making and predictive maintenance in modern manufacturing environments.
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