This book provides a comprehensive overview of the concept of digital twins, emphasising its strategic importance across various commercial domains. This book covers the fundamentals, data requirements, tools, and technologies essential for understanding and implementing digital twins. It discusses how digital twins are used for running simulations, analysing performance issues, and generating potential improvements to optimise business processes. The book explores the architecture, historical background, and real-time applications in sectors including urban planning, healthcare, smart cities, and manufacturing.
Explains digital twin technology, including its core principles, architecture, and how it replicates physical objects in virtual platforms, in detail
Covers the data types and tools necessary for creating and maintaining digital twins, including sensors, data processing systems, and integration methodologies
Explores technologies such as Computer Vision, IoT, AI, ML, 5G, AR, and VR that drive the functionality and application of digital twins
Analyses practical applications in diverse sectors like urban planning, smart cities, healthcare, manufacturing operations, and power-generation equipment, showcasing real-world use cases and benefits
Examines real-time challenges and limitations associated with implementing digital twin technology, providing a balanced view of its capabilities and constraints
It is a reference book for researchers, scholars, and students who are working or interested in learning about digital twin technology.
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