Elsevier Digital Twin and Industry 4.0: Concepts, Frameworks, and Applications (Advances in Digital Twin Computing and Sensor Networks)

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 cyber security. The opening chapter compares Industry 4.0 to previous industrial ages. The subsequent seventeen chapters discuss each respective technology, considering its classification, advantages, disadvantages, roles, applications and the 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, and interdisciplinary coverage that connects digital twins with the other technologies, offering applied case studies and examples that bridge the gap between academic research and industrial implementation. Explains how digital twin technologies can enable the benefits of Industry 4.0 Discusses the benefits and challenges of each technology, and how they can be applied in a real world environment Considers technologies such as artificial intelligence, Internet of Things, additive manufacturing, 5G, blockchain, sensors, holography, 3D-printing, drones, machine vision, and cyber-physical systems Utilises case studies to connect the realms of academic research and industry