Towards In-Transit Analytics for Industry 4.0

Richard Hill, James Devitt, Ashiq Anjum, Muhammad Ali

Research output: Chapter in Book/Report/Conference proceedingChapter

4 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.
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)

Fingerprint

Innovation
Industry
Visualization
Internet of things

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
Hill, Richard ; Devitt, James ; Anjum, Ashiq ; Ali, Muhammad. / Towards In-Transit Analytics for Industry 4.0. 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, 2017. 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)).
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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). 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, pp. 810-817. https://doi.org/10.1109/iThings-GreenCom-CPSCom-SmartData.2017.124

Towards In-Transit Analytics for Industry 4.0. / Hill, Richard; Devitt, James; Anjum, Ashiq; Ali, Muhammad.

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, 2017. p. 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)).

Research output: Chapter in Book/Report/Conference proceedingChapter

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AU - Devitt, James

AU - Anjum, Ashiq

AU - Ali, Muhammad

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AB - —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.

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M3 - Chapter

SN - 978-1-5386-3066-2

T3 - 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)

SP - 810

EP - 817

BT - 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)

PB - IEEE

ER -

Hill R, Devitt J, Anjum A, Ali M. 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). IEEE. 2017. p. 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)). https://doi.org/10.1109/iThings-GreenCom-CPSCom-SmartData.2017.124