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Over the last two decades, Digital Twins (DTs) have become the intelligent representation of future development in industrial production and daily life. Consisting of over 50 chapters by more than 100 contributors, this comprehensive handbook explains the concept, architecture, design specification and application scenarios of DTs.
As a virtual model of a process, product or service to pair the virtual and physical worlds, DTs allow data analysis and system monitoring by using simulations. The fast-growing technology has been widely studied and developed in recent years. Featured with centralization, integrity and dynamics, it is cost-effective to drive innovation and performance. Many fields saw the adaptation and implementation across industrial production, healthcare, smart city, transportation and logistics. World-famous enterprises such as Siemens, Tesla, ANSYS and General Electric have built smart factories and pioneered digital production, heading towards Industry 4.0.
This book aims to provide an in-depth understanding and reference of DTs to technical personnel in the field, students and scholars of related majors, and general readers interested in intelligent industrial manufacturing.
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Dr Zhihan Lyu is an Associate Professor at the Department of Game Design, Uppsala University, Sweden. He is also IEEE Senior Member, British Computer Society Fellow, ACM Distinguished Speaker, Career-Long Scientific Influence Rankings of Stanford's Top 2% Scientists, Marie Skłodowska-Curie Fellow, Clarivate Highly Cited Researcher and Elsevier Highly Cited Chinese Researcher. He has contributed 300 papers including more than 90 papers on IEEE/ACM Transactions. He is the Editor-in-Chief of Internet of Things and Cyber-Physical Systems (KeAi), an Associate Editor of a few journals including ACM TOMM, IEEE TITS, IEEE TNSM, IEEE TCSS, IEEE TNSE, and IEEE CEM. He has reviewed 400 papers. He has received more than 20 awards from China, Europe, and IEEE. He has given more than 80 invited talks for universities and companies in Europe and China. He has given 20 keynote speeches at international conferences.
Part 1: Introduction
Part 2: Thinking about Digital Twins 2. What Is Digital and What Are We Twinning?: A Conceptual Model to Make Sense of Digital Twins 3. When Digital Twin Meets Network Engineering and Operations 4. Cognitive Digital Twins 5. Structural Integrity Preservation of Built Cultural Heritage: How Can Digital Twins Help?
Part 3: Digital Twins Technology 6. Key Technologies of Digital Twins: A Model-Based Perspective 7. A Generic Deployment Methodology for Digital Twins – First Building Blocks 8. Automated Inference of Simulators in Digital Twins 9. Digital Twin for Federated Analytics Applications 10. Blockchain-Based Digital Twin Design 11. Physics-Based Digital Twins Leveraging Competitive Edge in Novel Markets
Part 4: Digital Twins Design and Standard 12. Digital Twin Model Formal Specification and Software Design 13. Layering Abstractions for Design-Integrated Engineering of Cyber-Physical Systems 14. Issues in Human-Centric HMI Design for Digital Twins 15. Toward a New Generation of Design Tools for the Digital Multiverse 16. A Service Design and Systems Thinking Approach to Enabling New Value Propositions in Digital Twins with AI Technologies 17. Tokenized Digital Twins for Society 5.0 18. Urban Digital Twin as a Socio-Technical Construct 19. Design and Operationalization of Digital Twins in Robotized Applications: Architecture and Opportunities
Part 5: Digital Twins in Management 20. Digital Twins in Management
For a more detailed table of contents and further information, you can refer to the book's listing on Amazon.
About The Book
Over the last two decades, Digital Twins (DTs) have become the intelligent representation of future development in industrial production and daily life. Consisting of over 50 chapters by more than 100 contributors, this comprehensive handbook explains the concept, architecture, design specification and application scenarios of DTs.
As a virtual model of a process, product or service to pair the virtual and physical worlds, DTs allow data analysis and system monitoring by using simulations. The fast-growing technology has been widely studied and developed in recent years. Featured with centralization, integrity and dynamics, it is cost-effective to drive innovation and performance. Many fields saw the adaptation and implementation across industrial production, healthcare, smart city, transportation and logistics. World-famous enterprises such as Siemens, Tesla, ANSYS and General Electric have built smart factories and pioneered digital production, heading towards Industry 4.0.
This book aims to provide an in-depth understanding and reference of DTs to technical personnel in the field, students and scholars of related majors, and general readers interested in intelligent industrial manufacturing.
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