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Towards In-Transit Analytics for Industry 4.0

Hill, Richard, Devitt, James, Anjum, Ashiq and Ali, Mohammad (2017) Towards In-Transit Analytics for Industry 4.0. In: IEEE International Conference on Internet of Things (iThings 2017), 21-23 June 2017, Exeter, UK. (Unpublished)

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Abstract

Industry 4.0, or Digital Manufacturing, is a vision of inter-connected services to facilitate innovation in the manufacturing 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.

Item Type: Conference or Workshop Item (Paper)
Subjects: Q Science > QA Mathematics > QA75 Electronic computers. Computer science
Schools: School of Computing and Engineering
School of Computing and Engineering > High-Performance Intelligent Computing > Planning, Autonomy and Representation of Knowledge
School of Computing and Engineering > High-Performance Intelligent Computing > Planning, Autonomy and Representation of Knowledge
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Depositing User: Richard Hill
Date Deposited: 25 May 2017 10:16
Last Modified: 25 May 2017 10:19
URI: http://eprints.hud.ac.uk/id/eprint/31960

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