Data acquisition for control level automation for SMEs: Requirements and architecture

Rockwon Kim; Ji Hyeong Han; Suyoung Chi

doi:10.1145/2837060.2837090

Data acquisition for control level automation for SMEs: Requirements and architecture

Rockwon Kim
, Ji Hyeong Han
, Suyoung Chi

Dept. of Computer Science and Engineering

Electronics and Telecommunications Research Institute

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

2 Scopus citations

Abstract

This paper proposes the architecture for a system to acquire the real-time data on the control level in the shop oor. The main role of proposed system is to generate labeled dataset while tracking a process and extracting its context. The generated dataset is combined the heterogeneous data from the sources such as production equipment, ad-hoc sensors, and key-in devices. In addition, the context is derived from a set (or a sequence) of processes, procedures, operations, or phase instances defined in ISA-88. Finally, the dataset and the context are used for the predictive analysis on the control level of the automation system.

Original language	English
Title of host publication	Proceedings of the 2015 International Conference on Big Data Applications and Services, BigDAS 2015
Editors	Aziz Nasridinov, Carson K. Leung
Publisher	Association for Computing Machinery
Pages	180-183
Number of pages	4
ISBN (Electronic)	9781450338462
DOIs	https://doi.org/10.1145/2837060.2837090
State	Published - 20 Oct 2015
Event	2015 International Conference on Big Data Applications and Services, BigDAS 2015 - Jeju Island, Korea, Republic of Duration: 20 Oct 2015 → 23 Oct 2015

Publication series

Name	ACM International Conference Proceeding Series
Volume	20-23-October-2015

Conference

Conference	2015 International Conference on Big Data Applications and Services, BigDAS 2015
Country/Territory	Korea, Republic of
City	Jeju Island
Period	20/10/15 → 23/10/15

UN SDGs

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

SDG 9 Industry, Innovation, and Infrastructure

Keywords

Data acquisition system
Manufacturing data management
Production data integration

Access to Document

10.1145/2837060.2837090

Cite this

Kim, R., Han, J. H., & Chi, S. (2015). Data acquisition for control level automation for SMEs: Requirements and architecture. In A. Nasridinov, & C. K. Leung (Eds.), Proceedings of the 2015 International Conference on Big Data Applications and Services, BigDAS 2015 (pp. 180-183). (ACM International Conference Proceeding Series; Vol. 20-23-October-2015). Association for Computing Machinery. https://doi.org/10.1145/2837060.2837090

Kim, Rockwon ; Han, Ji Hyeong ; Chi, Suyoung. / Data acquisition for control level automation for SMEs : Requirements and architecture. Proceedings of the 2015 International Conference on Big Data Applications and Services, BigDAS 2015. editor / Aziz Nasridinov ; Carson K. Leung. Association for Computing Machinery, 2015. pp. 180-183 (ACM International Conference Proceeding Series).

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title = "Data acquisition for control level automation for SMEs: Requirements and architecture",

abstract = "This paper proposes the architecture for a system to acquire the real-time data on the control level in the shop oor. The main role of proposed system is to generate labeled dataset while tracking a process and extracting its context. The generated dataset is combined the heterogeneous data from the sources such as production equipment, ad-hoc sensors, and key-in devices. In addition, the context is derived from a set (or a sequence) of processes, procedures, operations, or phase instances defined in ISA-88. Finally, the dataset and the context are used for the predictive analysis on the control level of the automation system.",

keywords = "Data acquisition system, Manufacturing data management, Production data integration",

author = "Rockwon Kim and Han, \{Ji Hyeong\} and Suyoung Chi",

note = "Publisher Copyright: {\textcopyright} 2015 ACM.; 2015 International Conference on Big Data Applications and Services, BigDAS 2015 ; Conference date: 20-10-2015 Through 23-10-2015",

year = "2015",

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Kim, R, Han, JH & Chi, S 2015, Data acquisition for control level automation for SMEs: Requirements and architecture. in A Nasridinov & CK Leung (eds), Proceedings of the 2015 International Conference on Big Data Applications and Services, BigDAS 2015. ACM International Conference Proceeding Series, vol. 20-23-October-2015, Association for Computing Machinery, pp. 180-183, 2015 International Conference on Big Data Applications and Services, BigDAS 2015, Jeju Island, Korea, Republic of, 20/10/15. https://doi.org/10.1145/2837060.2837090

Data acquisition for control level automation for SMEs: Requirements and architecture. / Kim, Rockwon; Han, Ji Hyeong; Chi, Suyoung.
Proceedings of the 2015 International Conference on Big Data Applications and Services, BigDAS 2015. ed. / Aziz Nasridinov; Carson K. Leung. Association for Computing Machinery, 2015. p. 180-183 (ACM International Conference Proceeding Series; Vol. 20-23-October-2015).

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

TY - GEN

T1 - Data acquisition for control level automation for SMEs

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AU - Kim, Rockwon

AU - Han, Ji Hyeong

AU - Chi, Suyoung

PY - 2015/10/20

Y1 - 2015/10/20

N2 - This paper proposes the architecture for a system to acquire the real-time data on the control level in the shop oor. The main role of proposed system is to generate labeled dataset while tracking a process and extracting its context. The generated dataset is combined the heterogeneous data from the sources such as production equipment, ad-hoc sensors, and key-in devices. In addition, the context is derived from a set (or a sequence) of processes, procedures, operations, or phase instances defined in ISA-88. Finally, the dataset and the context are used for the predictive analysis on the control level of the automation system.

AB - This paper proposes the architecture for a system to acquire the real-time data on the control level in the shop oor. The main role of proposed system is to generate labeled dataset while tracking a process and extracting its context. The generated dataset is combined the heterogeneous data from the sources such as production equipment, ad-hoc sensors, and key-in devices. In addition, the context is derived from a set (or a sequence) of processes, procedures, operations, or phase instances defined in ISA-88. Finally, the dataset and the context are used for the predictive analysis on the control level of the automation system.

KW - Data acquisition system

KW - Manufacturing data management

KW - Production data integration

UR - https://www.scopus.com/pages/publications/84996619206

U2 - 10.1145/2837060.2837090

DO - 10.1145/2837060.2837090

M3 - Conference contribution

AN - SCOPUS:84996619206

T3 - ACM International Conference Proceeding Series

SP - 180

EP - 183

BT - Proceedings of the 2015 International Conference on Big Data Applications and Services, BigDAS 2015

A2 - Nasridinov, Aziz

A2 - Leung, Carson K.

PB - Association for Computing Machinery

Y2 - 20 October 2015 through 23 October 2015

ER -

Kim R, Han JH, Chi S. Data acquisition for control level automation for SMEs: Requirements and architecture. In Nasridinov A, Leung CK, editors, Proceedings of the 2015 International Conference on Big Data Applications and Services, BigDAS 2015. Association for Computing Machinery. 2015. p. 180-183. (ACM International Conference Proceeding Series). doi: 10.1145/2837060.2837090

Data acquisition for control level automation for SMEs: Requirements and architecture

Abstract

Publication series

Conference

UN SDGs

Keywords

Access to Document

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