My Account Log in

1 option

Digital Twin Driven Intelligent Systems and Emerging Metaverse / edited by Enis Karaarslan, Ömer Aydin, Ümit Cali, Moharram Challenger.

Springer eBooks EBA - Engineering Collection 2023 Available online

View online
Format:
Book
Contributor:
Karaarslan, Enis., Editor.
Aydin, Ömer., Editor.
Cali, Ümit., Editor.
Challenger, Moharram., Editor.
Series:
Engineering Series
Language:
English
Subjects (All):
Industrial engineering.
Production engineering.
Computer simulation.
Machine learning.
Artificial intelligence.
Application software.
Industrial and Production Engineering.
Computer Modelling.
Machine Learning.
Artificial Intelligence.
Computer and Information Systems Applications.
Local Subjects:
Industrial and Production Engineering.
Computer Modelling.
Machine Learning.
Artificial Intelligence.
Computer and Information Systems Applications.
Physical Description:
1 online resource (VIII, 349 p. 88 illus., 77 illus. in color.)
Edition:
1st ed. 2023.
Place of Publication:
Singapore : Springer Nature Singapore : Imprint: Springer, 2023.
Summary:
This book covers the notion of the digital twin, which has the potential to alter the way systems are governed and manufactured. It also addresses the metaverse as an emerging technology with its roots in literature, cross-platform avatars, and artificial intelligence-oriented cybersecurity issues. The untapped potential of the metaverse and digital twins as enabling technologies for the next-generation industries is emphasized in various chapters. Digital twin technology enables manufacturers to comprehend their products throughout product design better, integrate simulation, tracking, and optimization in real-time, and appropriately analyze operations. Especially for complicated products or systems, testing on a digital twin is more efficient (more accessible, quicker, less error-prone, and less expensive). The product is examined in its virtual version before it is displayed in the actual world. Additionally, the digital twin minimizes operational expenses and increases the longevity of equipment and assets. By prolonging the life of the thing, they represent and enhance its working efficiency; it may minimize operating costs and prospective capital spending. The digital twin idea is becoming a reality as it has begun to be used in several industries, including energy, manufacturing, construction, transportation, aerospace, smart cities, healthcare, cyber security, finance, and agriculture. Academic and industrial experts highlighted the most compelling use cases of digital twins and metaverses and the challenges inherent in their implementation. Readers who want to make more effective systems will find the book useful. Also, people who want to get an idea and vision of how technology will change our lives will benefit from this book.
Contents:
1. Digital twin literature survey
2. Digital Twin in Construction
3. Smart Cities and Digital Twin
4. Digital Twins for Industry 4.0
5. Digital Twin and Wind turbines. .
Notes:
Description based on publisher supplied metadata and other sources.
ISBN:
981-9902-52-5
OCLC:
1376280670

The Penn Libraries is committed to describing library materials using current, accurate, and responsible language. If you discover outdated or inaccurate language, please fill out this feedback form to report it and suggest alternative language.

Find

Home Release notes

My Account

Shelf Request an item Bookmarks Fines and fees Settings

Guides

Using the Find catalog Using Articles+ Using your account