Digital twin technology fundamentals and applications

DIGITAL TWIN TECHNOLOGY The book lucidly explains the fundamentals of digital twin technology along with its applications and various industrial real-world examples. Digital twin basically means a replicated model of any object or product in digital form. A digital twin has many advantages as it rem...

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Bibliographic Details
Other Authors: Vohra, Manisha, editor (editor)
Format: eBook
Language:Inglés
Published: Hoboken, New Jersey : Wiley-Scrivener [2023]
Subjects:
See on Biblioteca Universitat Ramon Llull:https://discovery.url.edu/permalink/34CSUC_URL/1im36ta/alma991009811330206719
Table of Contents:
  • Cover
  • Title Page
  • Copyright Page
  • Contents
  • Preface
  • Chapter 1 Overview of Digital Twin
  • 1.1 A Simplistic Introduction to Digital Twin
  • 1.2 Basic Definition and Explanation of What is Digital Twin
  • 1.3 The History of Digital Twin
  • 1.4 Working
  • 1.5 Features
  • 1.5.1 Replication of Each and Every Aspect of the Original Device or Product
  • 1.5.2 Helps in Product Lifecycle Management
  • 1.5.3 Digital Twin can Prevent Downtime
  • 1.6 Advantages of Digital Twin
  • 1.6.1 Digital Twin is Helpful in Preventing Issues or Errors in the Actual Object, Product or Process
  • 1.6.2 Helps in Well Utilization of Resources
  • 1.6.3 Keeping Vigilance of the Actual Object, Product or Process Through Digital Twin is Possible
  • 1.6.4 Helps in Efficient Handling and Managing of Objects, Device, Equipment, etc.
  • 1.6.5 Reduction in Overall Cost of Manufacturing of Objects, Products, etc.
  • 1.7 Applications
  • 1.8 A Simple Example of Digital Twin Application
  • 1.9 Digital Twin Technology and the Metaverse
  • 1.10 Challenges
  • 1.10.1 Careful Handling of Different Factors Involved in Digital Twin
  • 1.10.2 Expertise Required
  • 1.10.3 Data Security and Privacy
  • 1.11 Conclusion
  • References
  • Chapter 2 Introduction, History, and Concept of Digital Twin
  • 2.1 Introduction
  • 2.2 History of Digital Twin
  • 2.3 Concept of Digital Twin
  • 2.3.1 DTP
  • 2.3.2 DTI
  • 2.3.3 DTE
  • 2.3.4 Conceptualization
  • 2.3.5 Comparison
  • 2.3.6 Collaboration
  • 2.4 Working Principle
  • 2.5 Characteristics of Digital Twin
  • 2.5.1 Homogenization
  • 2.5.2 Digital Trail
  • 2.5.3 Connectivity
  • 2.6 Advantages
  • 2.6.1 Companies Can Benefit From Digital Twin by Tracking Performance-Related Data
  • 2.6.2 Different Sector's Progress Can Be Accelerated
  • 2.6.3 Digital Twins Can Be Used for Various Application
  • 2.6.4 Digital Twin Can Help Decide Future Course of Work.
  • 2.6.5 Manufacturing Work Can Be Monitored
  • 2.7 Limitations
  • 2.7.1 Data Transmission Could Have Delays and Distortions
  • 2.7.2 Digital Twin Implementation Will Need Required Skills and Sound Knowledge About It
  • 2.8 Example of Digital Twin Application
  • 2.8.1 Digital Twin Application in General Electric (GE) Renewable Energy
  • 2.9 Conclusion
  • References
  • Chapter 3 An Insight to Digital Twin
  • 3.1 Introduction
  • 3.2 Understanding Digital Twin
  • 3.3 Digital Twin History
  • 3.4 Essential Aspects From Working Perspectives of Digital Twin
  • 3.5 How Does a Digital Twin Work?
  • 3.6 Insights to Digital Twin Technology Concept
  • 3.6.1 Parts Twins
  • 3.6.2 Product Twins
  • 3.6.3 System Twins
  • 3.6.4 Process Twins
  • 3.7 Types of Digital Twin
  • 3.7.1 Digital Twin Prototype (DTP)
  • 3.7.2 Digital Twin Instance (DTI)
  • 3.7.3 Digital Twin Environment (DTE)
  • 3.8 Traits of Digital Twin
  • 3.8.1 Look Same as the Original Object
  • 3.8.2 Consists Different Details of the Original Object
  • 3.8.3 Behaves Same as the Original Object
  • 3.8.4 Can Predict and Inform in Advance About Problems That Could Occur
  • 3.9 Value of Digital Twin
  • 3.10 Advantages of Digital Twin
  • 3.11 Real-World Examples of Use of Digital Twin
  • 3.12 Conclusion
  • References
  • Chapter 4 Digital Twin Solution Architecture
  • 4.1 Introduction
  • 4.2 Previous Work
  • 4.2.1 How This Work Differs
  • 4.3 Use Cases
  • 4.4 Architecture Considerations
  • 4.5 Understanding the Physical Object
  • 4.5.1 Modeling Considerations
  • 4.6 Digital Twin and IoT
  • 4.7 Digital Twin Solution Architecture
  • 4.7.1 Conceptual Digital Twin Solution Architecture
  • 4.7.2 Infrastructure Platform and IoT Services
  • 4.7.3 Digital Twin Data and Process Model
  • 4.7.4 Digital Twin Services
  • 4.7.5 Digital Twin Applications
  • 4.7.6 Sample Basic Data Flow through Digital Twin.
  • 4.7.7 Sample Data Flow for Exception Handling
  • 4.7.8 Sample Data Flow through Digital Twin Applications
  • 4.7.9 Development Considerations
  • 4.8 Database Considerations
  • 4.9 Messaging
  • 4.10 Interfaces
  • 4.11 User Experience
  • 4.12 Cyber Security
  • 4.13 Use Case Coverage
  • 4.14 Future Direction and Trends
  • 4.15 Conclusion
  • References
  • Chapter 5 Role of Digital Twin Technology in Medical Sector-Toward Ensuring Safe Healthcare
  • 5.1 Introduction to Digital Twin
  • 5.2 Generic Applications of Digital Twin
  • 5.3 Digital Twin Applications in Medical Field
  • 5.3.1 Biosignal and Physiological Parameters Analysis for Body Area Network
  • 5.3.2 Medicinal Drug Delivery
  • 5.3.3 Surgical Preplanning
  • 5.3.4 COVID 19 Screening and Diagnosis
  • 5.4 Ongoing and Future Applications of Digital Twin in Healthcare Sector
  • 5.5 Conclusion
  • Acknowledgments
  • References
  • Chapter 6 Digital Twin as a Revamping Tool for Construction Industry
  • 6.1 Introduction
  • 6.2 Introduction to Digital Twin
  • 6.3 Overview of Digital Twin in Construction
  • 6.4 The Perks of Digital Twin
  • 6.5 The Evolution of Digital Twin
  • 6.6 Application of Digital Twin Technology in Construction Industry
  • 6.7 Digital Twins Application for Construction Working Personnel Safety
  • 6.8 Digital Twin Applications in Smart City Construction
  • 6.9 Discussion
  • 6.10 Conclusion
  • References
  • Chapter 7 Digital Twin Applications and Challenges in Healthcare
  • 7.1 Introduction
  • 7.2 Digital Twin
  • 7.3 Applications of Digital Twin
  • 7.3.1 Smart Cities
  • 7.3.2 Manufacturing Sector
  • 7.3.3 Healthcare
  • 7.3.4 Aviation
  • 7.3.5 The Disney Park
  • 7.4 Challenges with Digital Twin
  • 7.5 Digital Twin in Healthcare
  • 7.5.1 Digital Twin for Hospital Workflow Management
  • 7.5.2 Digital Twin for a Healthcare Facility.
  • 7.5.3 Digital Twin for Different Medical Product Manufacturing
  • 7.5.4 Cardiovascular Digital Twin
  • 7.5.5 Digital Twin Utilization for Supporting Personalized Treatment
  • 7.5.6 Digital Twin for Multiple Sclerosis (MS)
  • 7.6 Digital Twin Challenges in Healthcare
  • 7.6.1 Need of Training and Knowledge
  • 7.6.2 Cost Factor
  • 7.6.3 Trust Factor
  • 7.7 Conclusion
  • References
  • Chapter 8 Monitoring Structural Health Using Digital Twin
  • 8.1 Introduction
  • 8.1.1 Digital Twin-The Approach and Uses
  • 8.2 Structural Health Monitoring Systems (SHMS)
  • 8.2.1 Criticality and Need for SHMS Approach
  • 8.2.2 Passive and Active SHMS
  • 8.3 Sensor Technology, Digital Twin (DT) and Structural Health Monitoring Systems (SHMS)
  • 8.4 Conclusion
  • References
  • Chapter 9 Role and Advantages of Digital Twin in Oil and Gas Industry
  • 9.1 Introduction
  • 9.2 Digital Twin
  • 9.3 Evolution of Digital Twin Technology
  • 9.4 Various Digital Twins that Can Be Built
  • 9.4.1 Parts Twins
  • 9.4.2 Product Twins or Asset Twins
  • 9.4.3 System Twins or Unit Twins
  • 9.4.4 Process Twins
  • 9.5 Advantage of Digital Twin
  • 9.5.1 Paced Prototypin
  • 9.5.2 Prediction
  • 9.5.3 Enhanced Maintenance
  • 9.5.4 Monitoring
  • 9.5.5 Safety
  • 9.5.6 Reduced Waste
  • 9.6 Applications of Digital Twin
  • 9.6.1 Aerospace
  • 9.6.2 Power-Generation Equipment
  • 9.6.3 Structures and Their Systems
  • 9.6.4 Manufacturing Operations
  • 9.6.5 Healthcare Services
  • 9.6.6 Automotive Industry
  • 9.6.7 Urban Planning and Construction
  • 9.6.8 Smart Cities
  • 9.6.9 Industrial Applications
  • 9.7 Characteristics of Digital Twin
  • 9.7.1 High-Fidelity
  • 9.7.2 Lively
  • 9.7.3 Multidisciplinary
  • 9.7.4 Homogenization
  • 9.7.5 Digital Footprint
  • 9.8 Digital Twin in Oil and Gas Industry
  • 9.9 Role of Digital Twin in the Various Areas of Oil and Gas Industry
  • 9.9.1 Planning of Drilling Process.
  • 9.9.2 Performance Monitoring of Oil Field
  • 9.9.3 Data Analytics and Simulation for Oil Field Production
  • 9.9.4 Improving Field Personnel and Workforce Safety
  • 9.9.5 Predictive Maintenance
  • 9.10 The Advantages of Digital Twin in the Oil and Gas Industry
  • 9.10.1 Production Efficacy
  • 9.10.2 Preemptive Maintenance
  • 9.10.3 Scenario Development
  • 9.10.4 Different Processes Monitoring
  • 9.10.5 Compliance Criteria
  • 9.10.6 Cost Savings
  • 9.10.7 Workplace Safety
  • 9.11 Conclusion
  • References
  • Chapter 10 Digital Twin in Smart Cities: Application and Benefits
  • 10.1 Introduction
  • 10.2 Introduction of Digital Twin in Smart Cities
  • 10.3 Applications of Digital Twin in Smart Cities
  • 10.3.1 Traffic Management
  • 10.3.2 Construction
  • 10.3.3 Structural Health Monitoring
  • 10.3.4 Healthcare
  • 10.3.5 Digital Twin for Drainage System
  • 10.3.6 Digital Twin for Power Grid
  • 10.4 Conclusion
  • References
  • Chapter 11 Digital Twin in Pharmaceutical Industry
  • 11.1 Introduction
  • 11.2 What is Digital Twin?
  • 11.2.1 Digital Twin Prototype (DTP)
  • 11.2.2 Digital Twin Instance
  • 11.2.3 Parts Twins
  • 11.2.4 Product Twins
  • 11.2.5 System Twins
  • 11.2.6 Process Twins
  • 11.3 Digital Twin in the Pharmaceutical Industry
  • 11.4 Digital Twin Applications in Pharmaceutical Industry
  • 11.4.1 Digital Twin of the Pharmaceutical Manufacturing Process
  • 11.4.2 Digital Twin for Pharmaceutical Supply Chains
  • 11.5 Examples of Use of Digital Twin in Pharmaceutical Industry
  • 11.5.1 Digital Twin Simulator for Supporting Scientific Exchange of Views With Expert Physicians
  • 11.5.2 Digital Twin for Medical Products
  • 11.5.3 Digital Twin for Pharmaceutical Companies
  • 11.6 Advantages of Digital Twin in the Pharmaceutical Industry
  • 11.6.1 Wastage Can Be Reduced
  • 11.6.2 Cost Savings
  • 11.6.3 Faster Time to Market
  • 11.6.4 Smooth Management.
  • 11.6.5 Remote Monitoring.