Industrial Device Monitoring and Control System based on oneM2M for Edge Computing

Changyong Um; Jaehyeong Lee; Jongpil Jeong

doi:10.1109/SSCI.2018.8628736

Industrial Device Monitoring and Control System based on oneM2M for Edge Computing

Changyong Um
, Jaehyeong Lee
, Jongpil Jeong

Research & Business Foundation

Sungkyunkwan University

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

12 Scopus citations

Abstract

Traditional manufacturing systems consist of devices with limited functionality and are constructed in a vertical structure. This is not suitable for smart factory environment where Internet of Things (IoT) is actively utilized and connected to external environment. Cyber Physical System (CPS), a key element of the Smart Factory, means that cyber and physical systems are tightly connected and intelligent. To build a CPS, IoT needs to be handled effectively, and stability and connectivity must be ensured. Therefore, the system in the Smart Factory is preferably built according to the IoT standard. In this paper, we propose an industrial device monitoring and control system based on oneM2M, and discuss that this system can be applied in a smart factory environment. The proposed system is based on Mobius, developed by Korea Electronics Technology Institute (KETI) as an open source IoT platform, and its components are open source hardware which is high performance with low cost. The Smart Factory system can be constructed in various forms using Mobius. In this paper, a model for its structure and utilization is presented.

Original language	English
Title of host publication	Proceedings of the 2018 IEEE Symposium Series on Computational Intelligence, SSCI 2018
Editors	Suresh Sundaram
Publisher	Institute of Electrical and Electronics Engineers Inc.
Pages	1528-1533
Number of pages	6
ISBN (Electronic)	9781538692769
DOIs	https://doi.org/10.1109/SSCI.2018.8628736
State	Published - 2 Jul 2018
Event	8th IEEE Symposium Series on Computational Intelligence, SSCI 2018 - Bangalore, India Duration: 18 Nov 2018 → 21 Nov 2018

Publication series

Name	Proceedings of the 2018 IEEE Symposium Series on Computational Intelligence, SSCI 2018

Conference

Conference	8th IEEE Symposium Series on Computational Intelligence, SSCI 2018
Country/Territory	India
City	Bangalore
Period	18/11/18 → 21/11/18

UN SDGs

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

SDG 9 Industry, Innovation, and Infrastructure

Keywords

Edge computing
Industry 4.0
Internet of Things
oneM2M
Open IoT Platform
Smart Factory Architecture
Smart Manufacturing

Access to Document

10.1109/SSCI.2018.8628736

Cite this

Um, C., Lee, J., & Jeong, J. (2018). Industrial Device Monitoring and Control System based on oneM2M for Edge Computing. In S. Sundaram (Ed.), Proceedings of the 2018 IEEE Symposium Series on Computational Intelligence, SSCI 2018 (pp. 1528-1533). Article 8628736 (Proceedings of the 2018 IEEE Symposium Series on Computational Intelligence, SSCI 2018). Institute of Electrical and Electronics Engineers Inc.. https://doi.org/10.1109/SSCI.2018.8628736

Um, Changyong ; Lee, Jaehyeong ; Jeong, Jongpil. / Industrial Device Monitoring and Control System based on oneM2M for Edge Computing. Proceedings of the 2018 IEEE Symposium Series on Computational Intelligence, SSCI 2018. editor / Suresh Sundaram. Institute of Electrical and Electronics Engineers Inc., 2018. pp. 1528-1533 (Proceedings of the 2018 IEEE Symposium Series on Computational Intelligence, SSCI 2018).

@inproceedings{94d9b045234a498a8077f2f7588d5ece,

title = "Industrial Device Monitoring and Control System based on oneM2M for Edge Computing",

abstract = "Traditional manufacturing systems consist of devices with limited functionality and are constructed in a vertical structure. This is not suitable for smart factory environment where Internet of Things (IoT) is actively utilized and connected to external environment. Cyber Physical System (CPS), a key element of the Smart Factory, means that cyber and physical systems are tightly connected and intelligent. To build a CPS, IoT needs to be handled effectively, and stability and connectivity must be ensured. Therefore, the system in the Smart Factory is preferably built according to the IoT standard. In this paper, we propose an industrial device monitoring and control system based on oneM2M, and discuss that this system can be applied in a smart factory environment. The proposed system is based on Mobius, developed by Korea Electronics Technology Institute (KETI) as an open source IoT platform, and its components are open source hardware which is high performance with low cost. The Smart Factory system can be constructed in various forms using Mobius. In this paper, a model for its structure and utilization is presented.",

keywords = "Edge computing, Industry 4.0, Internet of Things, oneM2M, Open IoT Platform, Smart Factory Architecture, Smart Manufacturing",

author = "Changyong Um and Jaehyeong Lee and Jongpil Jeong",

note = "Publisher Copyright: {\textcopyright} 2018 IEEE.; 8th IEEE Symposium Series on Computational Intelligence, SSCI 2018 ; Conference date: 18-11-2018 Through 21-11-2018",

year = "2018",

month = jul,

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doi = "10.1109/SSCI.2018.8628736",

language = "English",

series = "Proceedings of the 2018 IEEE Symposium Series on Computational Intelligence, SSCI 2018",

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Um, C, Lee, J & Jeong, J 2018, Industrial Device Monitoring and Control System based on oneM2M for Edge Computing. in S Sundaram (ed.), Proceedings of the 2018 IEEE Symposium Series on Computational Intelligence, SSCI 2018., 8628736, Proceedings of the 2018 IEEE Symposium Series on Computational Intelligence, SSCI 2018, Institute of Electrical and Electronics Engineers Inc., pp. 1528-1533, 8th IEEE Symposium Series on Computational Intelligence, SSCI 2018, Bangalore, India, 18/11/18. https://doi.org/10.1109/SSCI.2018.8628736

Industrial Device Monitoring and Control System based on oneM2M for Edge Computing. / Um, Changyong; Lee, Jaehyeong; Jeong, Jongpil.
Proceedings of the 2018 IEEE Symposium Series on Computational Intelligence, SSCI 2018. ed. / Suresh Sundaram. Institute of Electrical and Electronics Engineers Inc., 2018. p. 1528-1533 8628736 (Proceedings of the 2018 IEEE Symposium Series on Computational Intelligence, SSCI 2018).

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

TY - GEN

T1 - Industrial Device Monitoring and Control System based on oneM2M for Edge Computing

AU - Um, Changyong

AU - Lee, Jaehyeong

AU - Jeong, Jongpil

PY - 2018/7/2

Y1 - 2018/7/2

N2 - Traditional manufacturing systems consist of devices with limited functionality and are constructed in a vertical structure. This is not suitable for smart factory environment where Internet of Things (IoT) is actively utilized and connected to external environment. Cyber Physical System (CPS), a key element of the Smart Factory, means that cyber and physical systems are tightly connected and intelligent. To build a CPS, IoT needs to be handled effectively, and stability and connectivity must be ensured. Therefore, the system in the Smart Factory is preferably built according to the IoT standard. In this paper, we propose an industrial device monitoring and control system based on oneM2M, and discuss that this system can be applied in a smart factory environment. The proposed system is based on Mobius, developed by Korea Electronics Technology Institute (KETI) as an open source IoT platform, and its components are open source hardware which is high performance with low cost. The Smart Factory system can be constructed in various forms using Mobius. In this paper, a model for its structure and utilization is presented.

AB - Traditional manufacturing systems consist of devices with limited functionality and are constructed in a vertical structure. This is not suitable for smart factory environment where Internet of Things (IoT) is actively utilized and connected to external environment. Cyber Physical System (CPS), a key element of the Smart Factory, means that cyber and physical systems are tightly connected and intelligent. To build a CPS, IoT needs to be handled effectively, and stability and connectivity must be ensured. Therefore, the system in the Smart Factory is preferably built according to the IoT standard. In this paper, we propose an industrial device monitoring and control system based on oneM2M, and discuss that this system can be applied in a smart factory environment. The proposed system is based on Mobius, developed by Korea Electronics Technology Institute (KETI) as an open source IoT platform, and its components are open source hardware which is high performance with low cost. The Smart Factory system can be constructed in various forms using Mobius. In this paper, a model for its structure and utilization is presented.

KW - Edge computing

KW - Industry 4.0

KW - Internet of Things

KW - oneM2M

KW - Open IoT Platform

KW - Smart Factory Architecture

KW - Smart Manufacturing

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DO - 10.1109/SSCI.2018.8628736

M3 - Conference contribution

AN - SCOPUS:85062796202

T3 - Proceedings of the 2018 IEEE Symposium Series on Computational Intelligence, SSCI 2018

SP - 1528

EP - 1533

BT - Proceedings of the 2018 IEEE Symposium Series on Computational Intelligence, SSCI 2018

A2 - Sundaram, Suresh

PB - Institute of Electrical and Electronics Engineers Inc.

T2 - 8th IEEE Symposium Series on Computational Intelligence, SSCI 2018

Y2 - 18 November 2018 through 21 November 2018

ER -

Um C, Lee J, Jeong J. Industrial Device Monitoring and Control System based on oneM2M for Edge Computing. In Sundaram S, editor, Proceedings of the 2018 IEEE Symposium Series on Computational Intelligence, SSCI 2018. Institute of Electrical and Electronics Engineers Inc. 2018. p. 1528-1533. 8628736. (Proceedings of the 2018 IEEE Symposium Series on Computational Intelligence, SSCI 2018). doi: 10.1109/SSCI.2018.8628736

Industrial Device Monitoring and Control System based on oneM2M for Edge Computing

Abstract

Publication series

Conference

UN SDGs

Keywords

Access to Document

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