Big data and industrial Internet of Things for the maritime industry in Northwestern Norway

Hao Wang; Ottar L. Osen; Guoyuan Li; Wei Li; Hong-Ning Dai; Wei Zeng

doi:10.1109/TENCON.2015.7372918

Big data and industrial Internet of Things for the maritime industry in Northwestern Norway

Hao Wang, Ottar L. Osen, Guoyuan Li, Wei Li, Hong-Ning Dai, Wei Zeng

Department of Computer Science

Research output: Chapter in book/report/conference proceeding › Conference proceeding › peer-review

26 Citations (Scopus)

Abstract

Big Data Analytics (BDA) and Internet of Things (IoT) are rising quickly. The recent emerging Industrial IoT (IIoT), a sub-paradigm of IoT, focuses more in safety-critical industrial applications. Studies showed that the adoption of BDA increase companies' output and productivity; IoT enables companies to have more information and control in physical resources, processes, and environments; BDA and IIoT complement each other and develop as a double helix. In this position paper, we briefly review the opportunities and challenges in this era of big data and IoT for the More maritime cluster; then we propose a new framework integrating BDA and IIoT technologies for offshore support vessels (OSVs) based on a hybrid CPU/GPU/FPGA1 high performance computing platform. We believe that such a framework, when implemented, can help maritime companies increase their output and productivity, and hence enable the whole cluster to continue to be a leader in the global maritime industry.

Original language	English
Title of host publication	TENCON 2015 - 2015 IEEE Region 10 Conference, Proceedigns
Publisher	IEEE
Number of pages	5
ISBN (Electronic)	9781479986415
DOIs	https://doi.org/10.1109/TENCON.2015.7372918
Publication status	Published - 1 Nov 2015
Event	35th IEEE Region 10 Conference, TENCON 2015 - Holiday Inn, Cotai, Macao Duration: 1 Nov 2015 → 4 Nov 2015 https://ieeexplore.ieee.org/xpl/conhome/7365563/proceeding

Publication series

Name	IEEE Region 10 Annual International Conference, Proceedings/TENCON
Volume	2016-January
ISSN (Print)	2159-3442
ISSN (Electronic)	2159-3450

Conference

Conference	35th IEEE Region 10 Conference, TENCON 2015
Country/Territory	Macao
City	Cotai
Period	1/11/15 → 4/11/15
Internet address	https://ieeexplore.ieee.org/xpl/conhome/7365563/proceeding

Scopus Subject Areas

Computer Science Applications
Electrical and Electronic Engineering

UN SDGs

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

Access to Document

10.1109/TENCON.2015.7372918

Cite this

Wang, H., Osen, O. L., Li, G., Li, W., Dai, H.-N., & Zeng, W. (2015). Big data and industrial Internet of Things for the maritime industry in Northwestern Norway. In TENCON 2015 - 2015 IEEE Region 10 Conference, Proceedigns Article 7372918 (IEEE Region 10 Annual International Conference, Proceedings/TENCON; Vol. 2016-January). IEEE. https://doi.org/10.1109/TENCON.2015.7372918

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title = "Big data and industrial Internet of Things for the maritime industry in Northwestern Norway",

abstract = "Big Data Analytics (BDA) and Internet of Things (IoT) are rising quickly. The recent emerging Industrial IoT (IIoT), a sub-paradigm of IoT, focuses more in safety-critical industrial applications. Studies showed that the adoption of BDA increase companies' output and productivity; IoT enables companies to have more information and control in physical resources, processes, and environments; BDA and IIoT complement each other and develop as a double helix. In this position paper, we briefly review the opportunities and challenges in this era of big data and IoT for the More maritime cluster; then we propose a new framework integrating BDA and IIoT technologies for offshore support vessels (OSVs) based on a hybrid CPU/GPU/FPGA1 high performance computing platform. We believe that such a framework, when implemented, can help maritime companies increase their output and productivity, and hence enable the whole cluster to continue to be a leader in the global maritime industry.",

author = "Hao Wang and Osen, {Ottar L.} and Guoyuan Li and Wei Li and Hong-Ning Dai and Wei Zeng",

note = "The authors would like to thank for the valuable inputs from GCE BLUE Maritime, NCE Smart Energy Markets, and industrial partners, esp. Rolls-Royce Marine AS and ICD Software. This research is partially supported by the project “GCE BLUE Maritime Big Data” funded by Innovasjon Norge. Publisher Copyright: {\textcopyright} 2015 IEEE.; 35th IEEE Region 10 Conference, TENCON 2015 ; Conference date: 01-11-2015 Through 04-11-2015",

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doi = "10.1109/TENCON.2015.7372918",

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Wang, H, Osen, OL, Li, G, Li, W, Dai, H-N & Zeng, W 2015, Big data and industrial Internet of Things for the maritime industry in Northwestern Norway. in TENCON 2015 - 2015 IEEE Region 10 Conference, Proceedigns., 7372918, IEEE Region 10 Annual International Conference, Proceedings/TENCON, vol. 2016-January, IEEE, 35th IEEE Region 10 Conference, TENCON 2015, Cotai, Macao, 1/11/15. https://doi.org/10.1109/TENCON.2015.7372918

Big data and industrial Internet of Things for the maritime industry in Northwestern Norway. / Wang, Hao; Osen, Ottar L.; Li, Guoyuan et al.
TENCON 2015 - 2015 IEEE Region 10 Conference, Proceedigns. IEEE, 2015. 7372918 (IEEE Region 10 Annual International Conference, Proceedings/TENCON; Vol. 2016-January).

Research output: Chapter in book/report/conference proceeding › Conference proceeding › peer-review

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AU - Li, Guoyuan

AU - Li, Wei

AU - Dai, Hong-Ning

AU - Zeng, Wei

N1 - The authors would like to thank for the valuable inputs from GCE BLUE Maritime, NCE Smart Energy Markets, and industrial partners, esp. Rolls-Royce Marine AS and ICD Software. This research is partially supported by the project “GCE BLUE Maritime Big Data” funded by Innovasjon Norge. Publisher Copyright: © 2015 IEEE.

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Y1 - 2015/11/1

N2 - Big Data Analytics (BDA) and Internet of Things (IoT) are rising quickly. The recent emerging Industrial IoT (IIoT), a sub-paradigm of IoT, focuses more in safety-critical industrial applications. Studies showed that the adoption of BDA increase companies' output and productivity; IoT enables companies to have more information and control in physical resources, processes, and environments; BDA and IIoT complement each other and develop as a double helix. In this position paper, we briefly review the opportunities and challenges in this era of big data and IoT for the More maritime cluster; then we propose a new framework integrating BDA and IIoT technologies for offshore support vessels (OSVs) based on a hybrid CPU/GPU/FPGA1 high performance computing platform. We believe that such a framework, when implemented, can help maritime companies increase their output and productivity, and hence enable the whole cluster to continue to be a leader in the global maritime industry.

AB - Big Data Analytics (BDA) and Internet of Things (IoT) are rising quickly. The recent emerging Industrial IoT (IIoT), a sub-paradigm of IoT, focuses more in safety-critical industrial applications. Studies showed that the adoption of BDA increase companies' output and productivity; IoT enables companies to have more information and control in physical resources, processes, and environments; BDA and IIoT complement each other and develop as a double helix. In this position paper, we briefly review the opportunities and challenges in this era of big data and IoT for the More maritime cluster; then we propose a new framework integrating BDA and IIoT technologies for offshore support vessels (OSVs) based on a hybrid CPU/GPU/FPGA1 high performance computing platform. We believe that such a framework, when implemented, can help maritime companies increase their output and productivity, and hence enable the whole cluster to continue to be a leader in the global maritime industry.

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Y2 - 1 November 2015 through 4 November 2015

ER -

Big data and industrial Internet of Things for the maritime industry in Northwestern Norway

Abstract

Publication series

Conference

Scopus Subject Areas

UN SDGs

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