Digital Twin for Smart Manufacturing: Emerging Approaches and Applications provides detailed descriptions on how to integrate and optimize novel digital technologies for smart manufacturing. The book discusses digital twins, which combine the industrial internet of things, artificial intelligence, machine learning and software analytics with spatial network graphs to create living digital simulation models that update and change as their physical counterparts change. In addition, they provide an effective way to integrate technologies like cyber-physical systems into a smart manufacturing system, potentially optimizing the entire business process and operating procedure of the manufacturing firm.
Drawing on the latest research, the book addresses the topics and technologies key to successful implementation of a smart manufacturing system, including augmented and virtual reality, big data and energy management. Broader subjects such as additive manufacturing and robotics are also covered in this context, covering every aspect of production.
1. Digital Twin for Smart Manufacturing - p. iii 2. Cover - p. iii 3. Title Page - p. iii 4. Copyright Page - p. iv 5. Table of Contents - p. v 6. List of contributors - p. xiii 7. Chapter 1 Digital twin and digital twin–driven manufacturing - p. 1 8. Chapter 2 Knowledge-Driven Digital Twin Manufacturing - p. 21 9. Chapter 3 Digital twin and artificial intelligence in industries - p. 35 10. Chapter 4 Artificial intelligence–driven digital twins in Industry 4.0 - p. 59 11. Chapter 5 Industry 4.0: survey of digital twin in smart manufacturing and smart cities - p. 89 12. Chapter 6 Digital twins and artificial intelligence: transforming industrial operations - p. 111 13. Chapter 7 The convergence of digital twin, Internet of Things, and artificial intelligence: digital smart farming - p. 135 14. Chapter 8 Digital twin meets artificial intelligence: AI-augmented industrial automation systems using intelligent digital twins - p. 145 15. Chapter 9 Digital twin technologies for automated vehicles in smart healthcare systems - p. 161 16. Chapter 10 Impact of internet of things and digital twin on manufacturing era - p. 185 17. Chapter 11 Fault diagnosis in digital twin manufacturing - p. 203 18. Chapter 12 Potential applications of digital twin technology in virtual factory - p. 221 19. Chapter 13 Digital twins in precision agriculture monitoring using artificial intelligence - p. 243 20. Chapter 14 Digital twins and cyber-physical system architecture for smart factory - p. 267 21. Index - p. 291
Digital Twin for Smart Manufacturing: Emerging Approaches and Applications provides detailed descriptions on how to integrate and optimize novel digital technologies for smart manufacturing. The book discusses digital twins, which combine the industrial internet of things, artificial intelligence, machine learning and software analytics with spatial network graphs to create living digital simulation models that update and change as their physical counterparts change. In addition, they provide an effective way to integrate technologies like cyber-physical systems into a smart manufacturing system, potentially optimizing the entire business process and operating procedure of the manufacturing firm.
Drawing on the latest research, the book addresses the topics and technologies key to successful implementation of a smart manufacturing system, including augmented and virtual reality, big data and energy management. Broader subjects such as additive manufacturing and robotics are also covered in this context, covering every aspect of production.
1. Digital Twin for Smart Manufacturing - p. iii 2. Cover - p. iii 3. Title Page - p. iii 4. Copyright Page - p. iv 5. Table of Contents - p. v 6. List of contributors - p. xiii 7. Chapter 1 Digital twin and digital twin–driven manufacturing - p. 1 8. Chapter 2 Knowledge-Driven Digital Twin Manufacturing - p. 21 9. Chapter 3 Digital twin and artificial intelligence in industries - p. 35 10. Chapter 4 Artificial intelligence–driven digital twins in Industry 4.0 - p. 59 11. Chapter 5 Industry 4.0: survey of digital twin in smart manufacturing and smart cities - p. 89 12. Chapter 6 Digital twins and artificial intelligence: transforming industrial operations - p. 111 13. Chapter 7 The convergence of digital twin, Internet of Things, and artificial intelligence: digital smart farming - p. 135 14. Chapter 8 Digital twin meets artificial intelligence: AI-augmented industrial automation systems using intelligent digital twins - p. 145 15. Chapter 9 Digital twin technologies for automated vehicles in smart healthcare systems - p. 161 16. Chapter 10 Impact of internet of things and digital twin on manufacturing era - p. 185 17. Chapter 11 Fault diagnosis in digital twin manufacturing - p. 203 18. Chapter 12 Potential applications of digital twin technology in virtual factory - p. 221 19. Chapter 13 Digital twins in precision agriculture monitoring using artificial intelligence - p. 243 20. Chapter 14 Digital twins and cyber-physical system architecture for smart factory - p. 267 21. Index - p. 291
