Internet of Things for Industry 4.0
Springer International Publishing (Verlag)
978-3-030-32529-9 (ISBN)
This book covers challenges and solutions in establishing Industry 4.0 standards for Internet of Things. It proposes a clear view about the role of Internet of Things in establishing standards. The sensor design for industrial problem, challenges faced, and solutions are all addressed. The concept of digital twin and complexity in data analytics for predictive maintenance and fault prediction is also covered. The book is aimed at existing problems faced by the industry at present, with the goal of cost-efficiency and unmanned automation. It also concentrates on predictive maintenance and predictive failures. In addition, it includes design challenges and a survey of literature.
G. R. Kanagachidambaresan received his B.E degree in Electrical and Electronics Engineering from Anna University in 2010 and M.E Pervasive Computing Technologies in Anna University in 2012. He has completed his Ph.D. in Anna University Chennai in 2017. He is currently an Associate Professor, Department of CSE, Veltech Rangarajan Dr. Sagunthala R&D Institute of Science and Technology. His main research interest includes Body Sensor Network and Fault tolerant Wireless Sensor Network. He has published several reputed articles and undertaken several consultancy activities for leading MNC companies. He has also guest edited several special issue articles and serving as editorial review board members for peer reviewed journals. Anand R currently serves as an Assistant Professor (Senior Grade) at the Department of Electrical and Electronics Engineering at Amrita School of Engineering, Bengaluru. His area of interest in research includes Power Electronics, Electrical Drives, Renewable Energy Systems and Soft Computing. He completed his B.E. (Electrical and Electronics Engineering) from Velalar College of Engineering and Technology, Erode, India. He then completed his M.E. (Power Electronics and Drives) from AMS Engineering College, Namakkal, India. He completed his Ph.D. in Electrical Engineering from Anna University, Chennai, India. He has 11 years of teaching and research experience. He has published his research works in 5 national conferences, 10 international conferences and 10 international journals, out of which majority of the papers are indexed in Scopus, SCI and Web of Science. He has filed and published 3 patents. He has membership in professional bodies like IEEE and IAENG. He has guided many B. Tech. and M. Tech. student projects. Balasubramanian Esakki received Ph.D. in the field of Robotics and Control at Concordia University, Montreal, Canada. Presently he is working as Associate Professor and Head for Centre for Autonomous System Research, Vel Tech University, Chennai, India. He has more than 15 years of research experience in carrying out consultancy projects for National agencies such as BARC, IGCAR, BEL, ISRO and Automobile sector. He is also collaborating with Taiwan, Canada and Korea scientists under Indo-Taiwan, Indo - Canada and Indo -Korea research projects for the development of unmanned systems in bridges and heritage structures inspection and also water quality monitoring. His team developed UAVs for diverse applications including power line inspection, telecom tower inspection and radiation measurement, environmental monitoring, surveillance and aerial view inspection. His research interests are UAVs, robotics, control and sensors with online data acquisition systems. V. Mahima received her Bachelor degree in Electronics and Communication Engineering in 2011 and her Master degree in Applied Electronics in 2013 from Anna University. She is a University rank holder for the 2011-2013 Masters batch. She is currently working as an Assistant Professor in the Department of Electronics and Communication Engineering, Veltech Rangarajan Dr Sagunthala R&D Institute of Science and Technology, Avadi, Chennai. Her research interest includes Energy management and Quality of Service issues in Wireless Sensor Network.
Part I - Smart sensing in Industries.- Sensor design and rapid prototyping for industrial problems.- Technology, protocols and new innovations in IIoT.- Predictive analytics for critical machines using deep learning and machine intelligence.- Smart object recognition for warehouse logistics and security.- Digital Twin creating, challenges and solutions.- Part II - Machine Intelligence and automation.- Machine Health monitoring and fool proof diagnosis.- Role of AI and bio inspired computing in decision making.- Deep learning concepts aiding Industrial applications.- Energy harvesting methodologies and experimentation of sensors and actuators.- Reliability analysis and fault tolerant architecture for IIoT and Edge Computing.- Delay tolerant system for critical machine monitoring.- Part III - Role of robotics in smart production.- Automation solution for smart development applications.- UAV, UGV solutions for warehouse logistics.- Customer interaction and feedback collection robots usingdeep learning.- Smart recognition system for Business predictions.- Role of RFID in industry 4.0.- Conclusion.
| Erscheinungsdatum | 23.01.2020 |
|---|---|
| Reihe/Serie | EAI/Springer Innovations in Communication and Computing |
| Zusatzinfo | XIV, 258 p. 94 illus., 76 illus. in color. |
| Verlagsort | Cham |
| Sprache | englisch |
| Maße | 155 x 235 mm |
| Gewicht | 576 g |
| Themenwelt | Technik ► Elektrotechnik / Energietechnik |
| Technik ► Nachrichtentechnik | |
| Schlagworte | Automation for IoT • Digital Twin • Edge computing for IoT • Industrial Internet of Things (IIoT) • Industry 4.0 • Predictive Analytics for IOT |
| ISBN-10 | 3-030-32529-6 / 3030325296 |
| ISBN-13 | 978-3-030-32529-9 / 9783030325299 |
| Zustand | Neuware |
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