Buch, Englisch, 256 Seiten
Advanced Features, Digital Twin, Cloud Computing, Intelligent Control
Buch, Englisch, 256 Seiten
ISBN: 978-1-83669-050-4
Verlag: Wiley
The digital transformation of industrial systems is a complex process that requires a detailed understanding of specific needs and available technological solutions. Striking the right balance between the features to be integrated, the performance goals and the methodologies employed is a key factor in achieving a smooth transition to a digitalized industry.
Digital Transformation of Industrial Processes draws on more than ten years of research in digital industrial sciences conducted at the Arts et Métiers, one of the prestigious French engineering schools. This expertise has been further strengthened by the Plateforme 4.0, designed and deployed to experiment with innovative technologies and foundational methods in collaboration with industrial partners. The full scale experiments conducted have highlighted the multiscale and multidimensional complexity associated with technological interdependence, while revealing certain limitations and precautions that must be taken into account.
This book is intended for both engineers engaged in the digital transformation of industrial systems and master’s-level students wishing to train in the technologies and methodologies of the industry of the future.
Autoren/Hrsg.
Fachgebiete
- Technische Wissenschaften Verfahrenstechnik | Chemieingenieurwesen | Biotechnologie Verfahrenstechnik, Chemieingenieurwesen
- Technische Wissenschaften Elektronik | Nachrichtentechnik Elektronik Bauelemente, Schaltkreise
- Technische Wissenschaften Technik Allgemein Mess- und Automatisierungstechnik
- Technische Wissenschaften Energietechnik | Elektrotechnik Elektrotechnik
Weitere Infos & Material
Preface ix
Introduction xi
Chapter 1. Impacts and Challenges of Industry 4.0 1
1.1. Employment and training 2
1.2. The industrial digital transition 5
1.3. Scientific research 8
1.4. A global strategy 12
1.5. Business models 14
1.6. Data transformation 16
Chapter 2. New Functionalities 19
2.1. "Preparation" category 20
2.2. "Supervision" category 23
2.3. "Cross-functional" category 30
Chapter 3. Fundamental Concepts 37
3.1. Data lake 37
3.2. Cyber-physical manufacturing system 40
3.3. Industrial Internet of Things 42
3.4. Industrial cyber-physical system 44
3.5. Dynamic supervision 46
3.6. Intelligent computing 47
Chapter 4. Concepts, Models and Architectures 51
4.1. General concepts 53
4.2. Reference model 58
4.3. Generic architecture 60
4.4. Transition approaches 62
Chapter 5. Platform 4.0 71
5.1. Design and development 72
5.2. Communication architecture 87
5.3. Generated data 94
5.4. Case study 97
5.5. Conclusion 108
Chapter 6. Production Control 111
6.1. Functional architecture 112
6.2. Control systems 116
Chapter 7. Digital Twins 133
7.1. Principles 134
7.2. Design approach 137
7.3. Needs identification phase 139
7.4. DT design phase 142
7.5. Deployment and verification phase 147
Chapter 8. Clouds for Industry 161
8.1. The main clouds for industry 162
8.2. Integration methodology 169
8.3. Deployment framework 179
8.4. Synthesis 182
Chapter 9. Digital Optimization 185
9.1. Introduction to the problem 186
9.2. Optimization phases 188
9.3. Conclusion 199
Conclusion 201
References 205
Index 209




