04593nam 2200433 450 99649985510331620230331063427.03-031-11401-9(MiAaPQ)EBC7143467(Au-PeEL)EBL7143467(CKB)25402367300041(PPN)266355188(EXLCZ)992540236730004120230331d2022 uy 0engurcnu||||||||txtrdacontentcrdamediacrrdacarrierDigital twins basics and applications /Zhihan Lv, Elena Fersman, editorsCham, Switzerland :Springer,[2022]©20221 online resource (102 pages)Print version: Lv, Zhihan Digital Twins: Basics and Applications Cham : Springer International Publishing AG,c2022 9783031114007 Includes bibliographical references.Intro -- 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.Digital twins (Computer simulation)Digital twins (Computer simulation)003.3Fersman Elena Lv ZhihanMiAaPQMiAaPQMiAaPQBOOK996499855103316Digital twins2480004UNISA