Overview
- Includes an introductory IoT overview related to its selected scope of applications
- Introduces KIS.ME platform
- Presents the potential of KIS.API for effective communication with external services
- This book is open access, which means that you have free and unlimited access
Part of the book series: Studies in Systems, Decision and Control (SSDC, volume 476)
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Table of contents (7 chapters)
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Front Matter
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Back Matter
Keywords
About this book
To settle this issue, the book undertakes the problem of modern IoT onboarding platforms for the advanced applications pertaining to manufacturing and logistics. In particular, instead of deliberating about a possible hypothetic platforms, an existing and efficient one is employed, which is called KIS.ME.
KIS.ME (Keep It Simple. Manage Everything) is a complete IoT solution for a simple integration in manufacturing and logistics. It is composed ofa set of hardware devices (KIS.BOX, KIS.IO and KIS.LIGHT), which are intuitively integrated with the cloud platform called KIS.MANAGER. Moreover, the entire platform is an open one, and hence, it enables communication with external services using KIS.API architecture. The application range of KIS.ME is extensive. This is due to the intuitive implementation and visualization of a user-defined key performance indicators (KPIs), which constitute effective optimization measures. Thus, the potential areas of application of KIS.ME are, e.g., manufacturing, warehouse management and logistics. Indeed, triggering and/or ordering various tasks can be immediately and efficiently implemented with KIS.ME. Such an approach translates directly to the savings of the time and energy. Subsequently, a gradual introduction to KIS.ME platform is presented, which constitutes the base for further advanced applications including logistics, control and maintenance of various processes. Finally, the potentialof KIS.API communication framework is utilized for an efficient communication with external services.
Authors and Affiliations
About the authors
Marcin Witczak was born in Poland in 1973, received the M.Sc. degree in electrical engineering from the University of Zielona Góra (Poland), the Ph.D. degree in automatic control and robotics from the Wrocław University of Technology (Poland), and the D.Sc. degree in electrical engineering from the University of Zielona Góra, in 1998, 2002 and 2007, respectively. In 2015 he received a full professorial title. Since then, Marcin Witczak has been a professor of control and computer engineering at the Institute of Control and Computation Engineering, University of Zielona Góra. His current research interests include computational intelligence, fault detection and isolation (FDI), fault-tolerant control (FTC) coupled with the Internet of Things (IoT) applications. Marcin Witczak has published more than 200 papers in international journals and conference proceedings. He is an author of 5 monographs and 40 book chapters. Since 2015, he has been a member of the Committee on Automatic Control and Robotics Committee of the Polish Academy of Sciences. He is also a subject area editor of ISA Transactions while from 2022 he is an associate editor of Engineering Applications of Artificial Intelligence.
Bibliographic Information
Book Title: Modern IoT Onboarding Platforms for Advanced Applications
Book Subtitle: A Practitioner’s Guide to KIS.ME
Authors: Marcin Witczak, Lothar Seybold, Eric Bulach, Niko Maucher
Series Title: Studies in Systems, Decision and Control
DOI: https://doi.org/10.1007/978-3-031-33623-2
Publisher: Springer Cham
eBook Packages: Intelligent Technologies and Robotics, Intelligent Technologies and Robotics (R0)
Copyright Information: The Editor(s) (if applicable) and The Author(s) 2023
Hardcover ISBN: 978-3-031-33622-5Published: 18 July 2023
Softcover ISBN: 978-3-031-33625-6Published: 18 July 2023
eBook ISBN: 978-3-031-33623-2Published: 17 July 2023
Series ISSN: 2198-4182
Series E-ISSN: 2198-4190
Edition Number: 1
Number of Pages: XIII, 282
Number of Illustrations: 55 b/w illustrations, 142 illustrations in colour
Topics: Computational Intelligence, Mathematical and Computational Engineering, Complexity