Overview
- Provides a comprehensive framework for integrating various intelligent Industrial Internet applications
- Provides an intelligent architecture supporting mobile BPM applications running over Industrial Internet
- Provides a set of theories, techniques and means supporting intelligent Industrial Internet applications
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Table of contents (11 chapters)
Keywords
About this book
In the process of transforming modern manufacturing into intelligent manufacturing, more and more manufacturing processes are being deployed digitally on the Internet. As a novel digital industrial infrastructure and new application ecology, Industrial Internet could integrate the novel information and communication technology into various industrial manufacturing processes, through the safe and reliable intelligent interconnection of factors concerning people, machines and things. It aims at significantly improving the digitalization, networking and intelligence of manufacturing processes through the comprehensive interconnection of all manufacturing factors. To deploy and run traditional manufacturing processes on Industrial Internet efficiently, corresponding digital technical means are called for. These technical means play an important role in many potential applications of intelligent manufacturing, e.g. integrating product lifecycle data, strengthening industrial chain cooperation, providing decision-making service information oriented on the production organization process, and providing data support for product optimization and upgrading.
This book focuses on the theory, techniques and means for integrating intelligent Industrial Internet applications deployed via mobile edge computing. Concretely, it mainly studies the intelligent theory, techniques and means from a problem-driven and demand-driven perspective, which supports collaborative design, agile manufacturing, remote operation and maintenance on Industrial Internet. These technologies primarily include Industrial Internet-centric intelligent resource scheduling methods, various types of industrial data privacy protection, intelligent version management technologies supporting digital twin applications, various data mining algorithms for intelligent execution of business processes, etc. Given its scope, the book offers a valuable theoretical and technical resource for project managers, technical developers, researchers, educators and students at colleges and universities.
Authors and Affiliations
About the authors
Dr. Wanchun Dou is a full professor at Department of Computer Science and Technology, Nanjing University. He received the PhD degree in Mechanical and Electronic Engineering from the Nanjing University of Science and Technology at 2001. His research interests include the mobile edge computing, industrial internet, and intelligent service computing. Based on Google Scholar, he has published more than 200 peer reviewed papers including more than 40 ACM/IEEE Transactions papers.
Dr. Xiaolong Xu is a full professor at School of Software, Nanjing University of Information Science and Technology. He received the PhD degree in Department of Computer Science and Technology from Nanjing University at 2016. His research interests include the big data, service computing, edge computing, and knowledge graph. Based on Google Scholar, he has published more than 200 peer reviewed papers including more than 30 ACM/IEEE Transactions papers.
Dr. Shui Yu is a full professor at School ofComputer Science, University of Technology Sydney. He is also a fellow of Institute of Electrical and Electronics Engineers. He received the PhD degree in School of Information Technology from Deakin University at 2004. His research interests include the cybersecurity, network science, big data, and mathematical modeling. Based on DBLP, he has published more than 400 peer reviewed papers including more than 80 IEEE Transactions papers.
Bibliographic Information
Book Title: Intelligent Industrial Internet Systems
Book Subtitle: Architecture, Deployment and Applications
Authors: Wanchun Dou, Xiaolong Xu, Shui Yu
DOI: https://doi.org/10.1007/978-981-99-5732-3
Publisher: Springer Singapore
eBook Packages: Intelligent Technologies and Robotics, Intelligent Technologies and Robotics (R0)
Copyright Information: The Editor(s) (if applicable) and The Author(s), under exclusive license to Springer Nature Singapore Pte Ltd. 2023
Hardcover ISBN: 978-981-99-5731-6Published: 21 November 2023
Softcover ISBN: 978-981-99-5734-7Due: 22 December 2023
eBook ISBN: 978-981-99-5732-3Published: 20 November 2023
Edition Number: 1
Number of Pages: XIV, 215
Number of Illustrations: 1 b/w illustrations
Topics: Computational Intelligence, Artificial Intelligence, Business Process Management, Mobile Computing, Special Purpose and Application-Based Systems