Bibliografische Daten
ISBN/EAN: 9781484290064
Sprache: Englisch
Umfang: xxi, 263 S., 149 s/w Illustr., 263 p. 149 illus.
Auflage: 1. Auflage 2023
Einband: kartoniertes Buch
Beschreibung
This book Identifies the right sensors and single board computers for any application to achieve the best performance in Industry 4.0 settings and applications. Youll see what technologies apply the IIoT with elegant efficiency to drastically improve remote monitoring and controlling, decision making, and preventative maintenance. Start by learning exactly what Industry 4.0 is and advance your knowledge from simple Internet of Things projects to full-on Industrial IoT deployment. You'll automate advanced processes, incorporate professional procedures, and take your IoT skills to a professional level. Then move into the protocols and standards expected for industrial applications of sensors at an industrial level. Match the right SBCs to the right use cases and sensor technologies to optimize efficiency and ensure peak performance. Then move into setting up a smart factory and monitoring your supply chain with tech. Finally, you'll dive into programming with the Node-Red platform and Python packages for CPS. By the end of this book, youll have jumped from simple, home-based IoT systems up to industrial and professional applications. Conquer your supply chain and both forward and backward processes with accessible Maker tech! What You'll Learn Support industrial applications of SBCs and Maker tech Achieve peak performance by combining the right sensors with the right processing boards Improve remote monitoring and controlling drastically for better decision making and preventative maintenance Who This Book Is For Students and aspiring professionals working with Internet of things technologies moving towards industrial applications. Prerequisite knowledge in basic Internet of Things, simple python concepts, automation, and industry procedures is required for this book. Engineers and scientists who are pursuing research and contributing to industrial internet of things might also benefit.
Autorenportrait
Dr. G. R. Kanagachidambaresan completed his Ph.D. at Anna University Chennai in 2017. He is currently an Associate Professor in the Department of CSE at Vel Tech Rangarajan Dr. Sagunthala R&D Institute of Science and Technology. His main research interests include Body Sensor Networks and Fault Tolerant Wireless Sensor Networks. He has published several articles and undertaken consultancy activities for leading MNC companies. He has also guest-edited special issue volumes and books and served as an editorial review board member for peer-reviewed journals. He is presently working on several government sponsored research projects like ISRO, DBT, and DST. Presently, he is the Editor in chief for the Next Generation Computer and Communication Engineering series. Dr. N. Bharathi works as an Associate Professor in the Department of Computer Science Engineering at SRM Institute of Science and technology, Chennai, India. She has good working knowledge of the Internet of Things and embedded systems in addition to computer science engineering concepts. She was awarded with a Ph.D. degree in computer science in 2014 from SASTRA University, after nearly two decades as as an academician. She also has industrial experience as an R&D head involved in ARM platform boards with software development in Ubuntu OS. She has published many research papers in reputed journals and conferences along with book chapters; guided many tech students in various domains of computer science, engineering, and embedded systems; and currently advises 4 research scholars.
Informationen gemäß Produktsicherheitsverordnung
Hersteller:
APress in Springer Science + Business Media
juergen.hartmann@springer.com
Heidelberger Platz 3
DE 14197 Berlin