Towards In-Transit Analytics for Industry 4.0

Richard Hill; James Devitt; Ashiq Anjum; Muhammad Ali

doi:10.1109/iThings-GreenCom-CPSCom-SmartData.2017.124

Towards In-Transit Analytics for Industry 4.0

Richard Hill, James Devitt, Ashiq Anjum, Muhammad Ali

Research output: Chapter in Book/Report/Conference proceeding › Chapter › peer-review

20 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 language	English
Title of host publication	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)
Publisher	IEEE
Pages	810-817
Number of pages	8
ISBN (Print)	978-1-5386-3066-2
DOIs	https://doi.org/10.1109/iThings-GreenCom-CPSCom-SmartData.2017.124
Publication status	Published - Jun 2017

Publication series

Name	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)

UN SDGs

This output contributes to the following UN Sustainable Development Goals (SDGs)

Access to Document

10.1109/iThings-GreenCom-CPSCom-SmartData.2017.124Licence: Other

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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) (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 et al. / 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 et al.

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 proceeding › Chapter › peer-review

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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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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)

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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

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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)). doi: 10.1109/iThings-GreenCom-CPSCom-SmartData.2017.124

Towards In-Transit Analytics for Industry 4.0

Abstract

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UN SDGs

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