Description
Comprehensive reference exploring the benefits and implementation of digital twins in industrial production and manufacturing
Digital Twins in Industrial Production and Smart Manufacturing provides an overview of digital twin theoretical concepts, techniques, and recent trends used to meet the requirements and challenges of industrial production and smart manufacturing. The text describes how to achieve industrial excellence through virtual factory simulation and digital modeling innovations for next-generation manufacturing system design. The contributing authors address the many possible technical advantages of major Industry 5.0 technological advancements, using illustrations to aid readers in practical implementation of concepts, along with existing scenarios, potential research gaps, adoption difficulties, case studies, and future research objectives.
The text also presents many applications and use cases of Industry 5.0 and digital twins in a variety of industries, including the aerospace industry, pharmaceutical manufacturing and biotech, augmented reality, virtual reality, edge computing and blockchain-based Internet of Things (IoT), cobots, intelligent logistics and supply chain management, and more.
Edited by a group of highly qualified academics with significant experience in the field, Digital Twins in Industrial Production and Smart Manufacturing covers additional topics such as:
- Hyper-automation technology, including specialized workflow procedures and particular sectors of solicitations linked to hyper-automation
- Digital twins in the context of smart cities, with attempts to draw comparisons with the use of digital twins in industrial IoT
- Virtual factories based on digital twins and corresponding architecture to facilitate modeling, simulation, and assessment of manufacturing systems
- Cognitive, interactive, and standardization aspects of digital twins, and the proper implementation of digital twin technology for safety critical systems
Digital Twins in Industrial Production and Smart Manufacturing is a must-have reference for researchers, scholars, and professionals in fields related to digital twins in industrial production and manufacturing. It is also suitable as a hands-on resource for students interested in the fields of digital twins and smart manufacturing.
Table of Contents
Chapter 1. Digital twin and digital twin–driven manufacturing
Abstract
1.1 Origin of digital twin
References
Chapter 2. Knowledge-Driven Digital Twin Manufacturing
Abstract
2.1 Introduction
2.2 A service-oriented model for the Industrial Internet
2.3 A technological architecture of a service-oriented digital twin
2.4 A flexible ontology-based knowledge structure
2.5 A technological solution for advanced ubiquitous knowledge fruition
2.6 Conclusions and further research
References
Chapter 3. Digital twin and artificial intelligence in industries
Abstract
3.1 Introduction
3.2 Methodology
3.3 Conclusion
References
Chapter 4. Artificial intelligence–driven digital twins in Industry 4.0
Abstract
4.1 Introduction
4.2 Digital twin and artificial intelligence in smart manufacturing
4.3 Digital twins in the intelligentization of automotive autonomous driving
4.4 Digital twins in intelligent urban transportation
4.5 Conclusion
References
Chapter 5. Industry 4.0: survey of digital twin in smart manufacturing and smart cities
Abstract
5.1 Introduction
5.2 Digital twin—an introduction
5.3 Types of digital twin
5.4 Digital twin and base technologies
5.5 Smart cities—an introduction
5.6 Smart manufacturing—an introduction
5.7 Digital twin—use cases in additive manufacturing
5.8 Digital twin—use cases in ship-building industry
5.9 Digital twin—use cases in automotive industry
5.10 Applications of digital twin in smart manufacturing
5.11 Applications of digital twin technology in smart city projects
5.12 Summary
References
Chapter 6. Digital twins and artificial intelligence: transforming industrial operations
Abstract
6.1 Introduction
6.2 Digital twin in industry
6.3 Data acquisition in digital twin using Internet of Things
6.4 Manufacturing process digital twin model
6.5 Industrial machinery maintenance
6.6 Case study JSC 120A digital twin in artificial intelligence manufacturing
6.7 Challenges and future work
6.8 Future work
6.9 Conclusion
References
Chapter 7. The convergence of digital twin, Internet of Things, and artificial intelligence: digital smart farming
Abstract
7.1 Introduction
7.2 Internet of Things in agriculture
7.3 Digital twin smart farming
7.4 Digital smart farming system
7.5 First result and analysis
7.6 Conclusion
References
Chapter 8. Digital twin meets artificial intelligence: AI-augmented industrial automation systems using intelligent digital twins
Abstract
8.1 Introduction
8.2 Artificial intelligence in industrial automation (IA)
8.3 Digital twin with intelligence
8.4 Artificial intelligence agents—digital twin
8.5 Digital twin for smart manufacturing
8.6 Conclusion
References
Chapter 9. Digital twin technologies for automated vehicles in smart healthcare systems
Abstract
9.1 Introduction
9.2 Autonomous vehicles
9.3 Industry 4.0 in the healthcare industry
9.4 Significant technologies related to Industry 4.0 in the healthcare sector
9.5 Cloud computing
9.6 Importance of artificial intelligence in industry 4.0
9.7 Additive manufacturing
9.8 Benefits of additive manufacturing (AM) in Industry 4.0
9.9 Advanced robotics
9.10 Conclusions
References
Chapter 10. Impact of internet of things and digital twin on manufacturing era
Abstract
10.1 Internet of Things
10.2 Importance of Internet of Things
10.3 Norms and framework for the Internet of Things
10.4 The following are the Internet of Things frameworks
10.5 Benefits of Internet of Things
10.6 What is the Internet of Things in the workplace?
10.7 Internet of Things device management
10.8 Internet of Things connectivity and networking
10.9 Application of Internet of Things
10.10 Qualities of Internet of Things
References
Chapter 11. Fault diagnosis in digital twin manufacturing
Abstract
11.1 Introduction
11.2 Fault diagnosis in digital twin
11.3 Assistive technologies in digital twin
11.4 Cyber physical system and digital twin
11.5 Digital twin in fault diagnosis
References
Chapter 12. Potential applications of digital twin technology in virtual factory
Abstract
12.1 Introduction
12.2 Digital model
12.3 Digital shadow
12.4 Digital twin
12.5 Foundational concept
12.6 Crucial technical components of VR
12.7 Types of digital twin
12.8 Working of digital twin
12.9 Components of digital twin
12.10 Simulation
12.11 Simulation versus digital twin
12.12 Literature review
12.13 Potential applications of digital twin
12.14 Incorporating technologies
12.15 The general architecture of Internet of Things
12.16 Pros and cons of digital twin technology
12.17 Future scope of digital twin
12.18 Conclusion
Further reading
Chapter 13. Digital twins in precision agriculture monitoring using artificial intelligence
Abstract
13.1 Introduction
13.2 Background
13.3 Existing methodology
13.4 Proposed methodology
13.5 Conclusion
References
Chapter 14. Digital twins and cyber-physical system architecture for smart factory
Abstract
14.1 Introduction to digital twins and cyber-physical system
14.2 Digital twin-based smart factory cyber-physical system modeling
14.3 Digital twin in cyber-physical system-based production systems
14.4 Case studies
Index
