Digital Twins: Basics and Applications

1. Auflage 2022
ISBN: 978-3-031-11403-8
Verlag: Springer International Publishing

Buch, Englisch, 99 Seiten, Format (B × H): 155 mm x 235 mm, Gewicht: 178 g

This book comprehensively introduces readers to Digital Twins, from the basic concepts, core technologies and technical architecture, to application scenarios and other aspects. Readers will gain a profound understanding of the emerging discipline of Digital Twins. Covering the latest and cutting-edge application technologies of Digital Twins in various fields, the book offers practitioners concrete problem-solving strategies. At the same time, it helps those working in Digital Twins-related fields to deepen their understanding of the industry and enhance their professional knowledge and skills. Given its scope, the book can also be used as teaching material or a reference book for teachers and students of product design, industrial design, design management, design marketing and related disciplines at colleges and universities. Covering a variety of groundbreaking Digital Twins technologies, it can also provide new directions for researchers.

Zielgruppe

Research

Autoren/Hrsg.

Fersman, Elena

Lv, Zhihan

Fachgebiete

• Wirtschaftswissenschaften Betriebswirtschaft Wirtschaftsinformatik, SAP, IT-Management
• Technische Wissenschaften Elektronik | Nachrichtentechnik Nachrichten- und Kommunikationstechnik
• Mathematik | Informatik EDV | Informatik Informatik Mathematik für Informatiker
• Mathematik | Informatik EDV | Informatik Informatik Mensch-Maschine-Interaktion Ambient Intelligence, RFID, Internet der Dinge
• Technische Wissenschaften Energietechnik | Elektrotechnik Elektrotechnik
• Mathematik | Informatik EDV | Informatik Angewandte Informatik Wirtschaftsinformatik

Inhaltsverzeichnis

1. What is the Digital Twins.- 2. Digital Twins application scenarios.- 3. Digital Twins technology framework.- 4. Digital Twins main technologies.- 5. Digital Twins in industrial manufacturing.- 6. Digital Twins in smart cities.- 7. Application of Digital Twins in drones.- 8. Application of Digital Twins in the Clothes IoT.- 9. The application of Digital Twins in the pharmaceutical field.- 10. The application of Digital Twins in the field of fashion.- 11. Digital Twins fusion machine learning application.- 12. The Application of Digital Twins in the Forest.- 13. Digital Twins optimize energy manufacturing.- 14. Digital Twins in Additive Manufacturing.- 15. The potentials, advancements and challenges of Digital Twin in Cyber Physical Social Systems.- 16. Autonomic Digital Twins: the Case of Industrial IoT Applications.- 17. Digital Twin of Smart Grid.- 18. The Conversations of IIoT and Digital Twins on Social Media.- 19. Future outlook.

Über Autor(innen)

Zhihan Lv is IEEE Senior Member, British Computer Society Fellow, ACM Distinguished Speaker, Full Member of Sigma Xi, Career-long Scientific Influence Rankings of Stanford's Top 2% Scientists, Marie Sklodowska-Curie Fellow, Elsevier Highly Cited Chinese Researcher. He has contributed 300 papers including more than 70 papers on IEEE/ACM Transactions. He is Editor-in-Chief of Internet of Things and Cyber-Physical Systems(KeAi), an Associate Editor of 22 journals including ACM Transactions on Multimedia Computing, Communications, and Applications, IEEE Transactions on Intelligent Transportation System, IEEE Transactions on Network and Service Management, IEEE Technology Policy and Ethics Newsletter, Early Career Advisory Board member of IEEE/CAA Journal of Automatica Sinica. He is General Chair, Co-Chair or TPC of 50 conferences including ACM MM 2021-2022, ACM IUI 2015-2022. He has reviewed 400 papers. He has received more than 20 awards from China, Europe, IEEE. He has supervised the students to get more than 20 awards.  He has  given 80 invited talks for universities and companies in Europe and China.  He has given 20 keynote talks for International conferences.

Elena Fersman is a Docent and an Adjunct Professor in Cyber-Physical Systems specialized in Automation at the Royal Institute of Technology in Stockholm. She holds a Ph.D. in Computer Science from Uppsala University, a Master of Science in Economics and Management from St. Petersburg Polytechnic University and did a postdoc at the University Paris-Saclay. She has a 16+ years of experience applying AI and other software technologies in sectors such as telecom, production systems and intelligent transport systems. Elena is a Global Head of AI Research at Ericsson. She is a Member of the Board of Directors of RISE Research Institutes of Sweden and a Member of nomination committee of the Polhem Prize. Elena has Co-authored over 50 patent families.