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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Paperback. Etat : new. Paperback. 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. This item is printed on demand. Shipping may be from multiple locations in the US or from the UK, depending on stock availability. N° de réf. du vendeur 9798251016734
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PAP. Etat : New. New Book. Delivered from our UK warehouse in 4 to 14 business days. THIS BOOK IS PRINTED ON DEMAND. Established seller since 2000. N° de réf. du vendeur L0-9798251016734
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Vendeur : GreatBookPricesUK, Woodford Green, Royaume-Uni
Etat : As New. Unread book in perfect condition. N° de réf. du vendeur 53687470
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Paperback. Etat : new. Paperback. 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. This item is printed on demand. Shipping may be from our UK warehouse or from our Australian or US warehouses, depending on stock availability. N° de réf. du vendeur 9798251016734
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