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E. Sathish is an Assistant Professor in the Department of Electronics and Instrumentation Engineering at Erode Sengunthar Engineering College, Perundurai, Erode, Tamil Nadu. His contribution focuses on digital twin technologies for smart engineering systems.
Digital Twin technology has become a crucial element of contemporary intelligent engineering systems by generating dynamic virtual models of tangible assets, processes, and environments. A Digital Twin perpetually amalgamates data from sensors, Internet of Things (IoT) devices, industrial apparatus, communication networks, and computational models to oversee, evaluate, simulate, forecast, and enhance the performance of physical systems. The amalgamation of Artificial Intelligence (AI), Machine Learning (ML), cloud computing, edge computing, big data analytics, and sophisticated simulation methodologies empowers Digital Twins to facilitate astute decision-making across several engineering sectors. This chapter elucidates the essential principles, framework, facilitating technologies, and applications of Digital Twin systems in intelligent engineering.Ultimately, issues concerning data interoperability, cybersecurity, scalability, model precision, synchronisation, computational intricacy, and standardisation are examined, alongside prospective study avenues for intelligent and sustainable smart engineering systems.