Digital Twins: Basics and Applications

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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.

Author(s): Zhihan Lv, Elena Fersman
Publisher: Springer
Year: 2022

Language: English
Pages: 101
City: Cham

Contents
Digital Twins Architecture
1 Why to Talk About Digital Twins?
2 The Main Digital Twin’s Components
2.1 Physical System (PS)
2.2 Virtual System (VS)
2.3 Systems Data (SD)
2.4 Communication Interface (CI)
3 Is This a Digital Twin?
4 Practical Case Studies
4.1 Case Study I
4.2 Case Study II
References
Digital Twins for Physical Asset Lifecycle Management
1 Introduction
2 Digital Twin Asset Lifecycle Management (DTALM)
3 Digital Twin Essence
4 Digital Twin Systems
4.1 Physical Domain
4.2 Digital Domain
4.3 Physics-Based Generative Models for Digital Twins
4.4 Advances in Parameter Identifiability
5 Data-Driven Digital Twins
5.1 Statistical Learning Models
5.2 Machine Learning Models
5.3 Deep Learning Models
5.4 Industrial Digital Twin Applications for PALM
References
Digital Twins and Additive Manufacturing
1 Additive Manufacturing
2 Digital Twins
3 DTs for AM Needs and Challenges
3.1 Real Time Monitoring
3.2 Database and Models
3.3 Machine Learning
3.4 Internet of Things
4 Conclusions and Outlook
References
Agricultural Digital Twins
1 The Digital Twins of Agriculture
2 Digital Twins Build Smart Farms
2.1 Artificial Intelligence Predicts Plant Growth
2.2 Virtual Reality Simulation of 3D Digital Farm
2.3 Blockchain Technology Realizes Supply Chain Management
2.4 Problems that Still Exist in the Application of Digital Twins in the Agricultural Field
3 Conclusion
References
The Application of Digital Twins in the Field of Fashion
1 Digital Twins of Human Bodies
1.1 Virtual Human Models in Fashion Industry
1.2 Source Information for Generating Virtual Human Model
1.3 Tools for Virtual Body Model Digitalization
1.4 Virtual Fit Mannequin Generating
2 Digital Twins of Garment
2.1 Structure of Virtual Fitting System
2.2 Generating Virtual Garment from Virtual Patterns
2.3 Generating Virtual Garment Directly on Virtual Human Model
3 Future Development
References
Digital Twins Collaboration in Industrial Manufacturing
1 Introduction
1.1 Contribution
1.2 Chapter Organization
2 Lightweight Framework of Digital Twins Collaboration for Industrial Manufacturing
2.1 Physical Layer
2.2 Digital Twins Layer
2.3 Industrial Technologies Layer
2.4 Application Layer
3 Digital Twins Collaboration in Industrial Manufacturing Use Cases
3.1 Energy Industry-Fault Diagnosis of Wind Turbines
3.2 Railway Industry-Predictive Maintenance
3.3 Logistics Industry-Dynamic Routing
4 Future Directions
4.1 Security and Privacy
4.2 Connectivity
4.3 Timing, Speed, and Response
4.4 Data Modelling
5 Conclusion
References
Social Media Perspectives on Digital Twins and the Digital Twins Maturity Model
1 Defining Digital Twins
2 Use of Social Media Analytics in Research
2.1 Social Media Analytics Methodology
2.2 Time Series Analysis of Tweets About Digital Twins
2.3 Unsupervised Clustering of the Digital Twin Tweets
2.4 Twitter Analysis by Industry
3 Background on Maturity Models
4 The Digital Twin Maturity Model
5 Conclusion and Future Work
References