Digital Twin for Smart Manufacturing
Coordonnateurs : Dhanaraj Rajesh Kumar, Bashir Ali Kashif, Vani Rajasekar, Balusamy Balamurugan, Malik Pooja
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.
3. Digital twin and artificial intelligence in industries
4. Artificial intelligence
6. Digital twins and artificial intelligence: transforming industrial operations
7. The convergence of digital twin, Internet of Things, and artificial intelligence: digital smart farming
8. Digital twin meets artificial intelligence: AI-augmented industrial automation systems using intelligent digital twins
9. Digital twin technologies for automated vehicles in smart healthcare systems
10. Impact of Internet of Things and digital twin on manufacturing era
11. Fault diagnosis in digital twin manufacturing
12. Potential applications of digital twin technology in virtual factory
13. Digital twins in precision agriculture monitoring using artificial intelligence
14. Digital twins and cyber-physical system for smart factory
Ali Kashif Bashir is an Associate Professor at the School of Computing and Mathematics of Manchester Metropolitan University, United Kingdom, an Adjunct Professor at the School of Electrical Engineering and Computer Science at the National University of Science and Technology, Islamabad (NUST), Pakistan, an Honorary Professor at the School of Information and Communication Engineering of the University of Electronics Science and Technology of China (UESTC) and a Chief Advisor at the Visual Intelligence Research Center, UESTC, China. He is a senior member of Institute of Electrical and Electronics Engineers (IEEE), USA and Distinguished Speaker of Association for Computing Machinery (ACM), USA.
Vani Rajasekar is an Assistant Professor at the School of Computer Science and Technology at Kongu Engineering College. Her research focuses on network security and cryptography, and she has been published in 8 international journals, and presented at 8 international conferences.
Prof. Balamurugan Balusamy is the Associate Dean Student at Shiv Nadar Institution of Eminence, Delhi-NCR. He is also an Adjunct Professor at the Department of Computer Science & Information Engineering at Taylor University, Malaysia. Before this assignment, he was a Professor at the School of Computing Sciences & Engineering and Director of International Relations at Galg
- Includes detailed case studies that show how digital twins have been successfully implemented
- Shows how digital twins can be used to improve sustainability through superior energy usage management
- Outlines potential future uses of the digital twin, thus pointing the way for future research directions
Date de parution : 08-2023
Ouvrage de 318 p.
15x22.8 cm
Thème de Digital Twin for Smart Manufacturing :
Mots-clés :
?Agricultural monitoring; Agriculture; Analytics; Artificial intelligence; Automation; Autonomous driving; Autonomous vehicles; Block chain; Cyber-physical system; Cyber-physical systems; Digital twin; Digital twins; Electronic automation; Fault diagnosis; Graphics processing unit; Health 40; Human-centric industrial internet; IT infrastructure; Industrial automation system; Industry 40; Interlink; Internet; Internet of Things; IoT; Knowledge-based intelligent skills; Less human interaction; Manufacturing systems; Model of digital twin; Monitoring; Permeability Model; Precision agriculture; Product lifecycle; Security and privacy rules; Sensors; Service-oriented digital twin; Simulation; Smart cities; Smart factory; Smart farming; Smart manufacturing; Task learning; Ubiquitous knowledge; Urban planning; Urban transportation; Virtual reality