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Digital Twin Engineering: Foundations and Infrastructure is the first volume in the Digital Twin Engineering Series, providing a deep technical introduction to the architecture of cyber-physical systems.
The book explores how physical assets are transformed into dynamic digital models through sensor networks, telemetry pipelines, and high-fidelity simulation frameworks. Beginning with the foundational concept of the Mirror World, the text examines the core architecture of digital twins and the infrastructure required to build them.
Readers will learn how industrial IoT systems capture real-time data, how connectivity layers transmit telemetry at scale, and how modern data platforms store and process time-series information. The book also introduces the simulation technologies that allow digital models to replicate real-world behavior, including finite element analysis, system dynamics, and co-simulation frameworks.
Designed for engineers and technology architects, this volume provides a rigorous technical foundation for understanding how digital twins are built, synchronized, and maintained across complex industrial environments.
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