Digital Twin and Industry 4.0: Concepts, Frameworks, and Applications champions the use of digital twin technologies in the support of the fourth industrial revolution. These technologies, such as the Internet of Things, Artificial Intelligence, cloud computing, big data analytics, robotics, and VR can be combined to benefit a wide variety of industries, from healthcare and manufacturing to cybersecurity. Chapters discuss each respective technology, considering its classification, advantages, disadvantages, roles, its applications, and its potential for future developments. Alongside AI and IoT, the book looks at additive manufacturing, 5G, blockchain, sensors, holography, 3D-printing, drones, machine vision, and cyber-physical systems (CPS).
Overall, Digital Twin and Industry 4.0 provides a comprehensive synthesis of theories and technologies underpinning digital twins for Industry 4.0, along with interdisciplinary coverage that connects digital twins with the other technologies. Sections also include applied case studies and examples that bridge the gap between academic research and industrial implementation.
1. Chapter 1. Introduction to digital twin and Industry 4.0 - p. 1 2. 2. Digital twin for Industry 4.0 - p. 13 3. 3. Artificial intelligence for Industry 4.0 - p. 29 4. 4. Additive manufacturing for Industry 4.0 - p. 45 5. 5. Internet of Things for Industry 4.0 - p. 73 6. 6. Big data for Industry 4.0 - p. 85 7. 7. 5G for Industry 4.0 - p. 101 8. 8. Robotics for Industry 4.0 - p. 115 9. 9. Blockchain for Industry 4.0 - p. 129 10. 10. Sensors for Industry 4.0 - p. 143 11. 11. Cloud computing for Industry 4.0 - p. 157 12. 12. 3D scanning for Industry 4.0 - p. 173 13. 13. Virtual reality for Industry 4.0 - p. 187 14. 14. Holography for Industry 4.0 - p. 201 15. 15. Cybersecurity for Industry 4.0 - p. 213 16. 16. Machine vision for Industry 4.0 - p. 231 17. 17. Drones for Industry 4.0 - p. 245 18. 18. Cyber-physical systems for Industry 4.0 - p. 263 19. Index - p. 281
Digital Twin and Industry 4.0: Concepts, Frameworks, and Applications champions the use of digital twin technologies in the support of the fourth industrial revolution. These technologies, such as the Internet of Things, Artificial Intelligence, cloud computing, big data analytics, robotics, and VR can be combined to benefit a wide variety of industries, from healthcare and manufacturing to cybersecurity. Chapters discuss each respective technology, considering its classification, advantages, disadvantages, roles, its applications, and its potential for future developments. Alongside AI and IoT, the book looks at additive manufacturing, 5G, blockchain, sensors, holography, 3D-printing, drones, machine vision, and cyber-physical systems (CPS).
Overall, Digital Twin and Industry 4.0 provides a comprehensive synthesis of theories and technologies underpinning digital twins for Industry 4.0, along with interdisciplinary coverage that connects digital twins with the other technologies. Sections also include applied case studies and examples that bridge the gap between academic research and industrial implementation.
1. Chapter 1. Introduction to digital twin and Industry 4.0 - p. 1 2. 2. Digital twin for Industry 4.0 - p. 13 3. 3. Artificial intelligence for Industry 4.0 - p. 29 4. 4. Additive manufacturing for Industry 4.0 - p. 45 5. 5. Internet of Things for Industry 4.0 - p. 73 6. 6. Big data for Industry 4.0 - p. 85 7. 7. 5G for Industry 4.0 - p. 101 8. 8. Robotics for Industry 4.0 - p. 115 9. 9. Blockchain for Industry 4.0 - p. 129 10. 10. Sensors for Industry 4.0 - p. 143 11. 11. Cloud computing for Industry 4.0 - p. 157 12. 12. 3D scanning for Industry 4.0 - p. 173 13. 13. Virtual reality for Industry 4.0 - p. 187 14. 14. Holography for Industry 4.0 - p. 201 15. 15. Cybersecurity for Industry 4.0 - p. 213 16. 16. Machine vision for Industry 4.0 - p. 231 17. 17. Drones for Industry 4.0 - p. 245 18. 18. Cyber-physical systems for Industry 4.0 - p. 263 19. Index - p. 281
