Towards In-Transit Analytics for Industry 4.0

Richard Hill, James Devitt, Ashiq Anjum, Muhammad Ali

Research output: Chapter in Book/Report/Conference proceedingChapter

6 Citations (Scopus)

Abstract

—Industry 4.0, or Digital Manufacturing, is a vision of inter-connected services to facilitate innovation in the manufac-turing sector. A fundamental requirement of innovation is the ability to be able to visualise manufacturing data, in order to discover new insight for increased competitive advantage. This article describes the enabling technologies that facilitate In-Transit Analytics, which is a necessary precursor for Industrial Internet of Things (IIoT) visualisation.
Original languageEnglish
Title of host publication2017 IEEE International Conference on Internet of Things (iThings) and IEEE Green Computing and Communications (GreenCom) and IEEE Cyber, Physical and Social Computing (CPSCom) and IEEE Smart Data (SmartData)
PublisherIEEE
Pages810-817
Number of pages8
ISBN (Print)978-1-5386-3066-2
DOIs
Publication statusPublished - Jun 2017

Publication series

Name2017 IEEE International Conference on Internet of Things (iThings) and IEEE Green Computing and Communications (GreenCom) and IEEE Cyber, Physical and Social Computing (CPSCom) and IEEE Smart Data (SmartData)

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  • Cite this

    Hill, R., Devitt, J., Anjum, A., & Ali, M. (2017). Towards In-Transit Analytics for Industry 4.0. In 2017 IEEE International Conference on Internet of Things (iThings) and IEEE Green Computing and Communications (GreenCom) and IEEE Cyber, Physical and Social Computing (CPSCom) and IEEE Smart Data (SmartData) (pp. 810-817). (2017 IEEE International Conference on Internet of Things (iThings) and IEEE Green Computing and Communications (GreenCom) and IEEE Cyber, Physical and Social Computing (CPSCom) and IEEE Smart Data (SmartData)). IEEE. https://doi.org/10.1109/iThings-GreenCom-CPSCom-SmartData.2017.124