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

Rockwon Kim, Ji Hyeong Han, Suyoung Chi

Research output: Chapter in Book/Report/Conference proceedingConference contributionpeer-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 languageEnglish
Title of host publicationProceedings of the 2015 International Conference on Big Data Applications and Services, BigDAS 2015
EditorsAziz Nasridinov, Carson K. Leung
PublisherAssociation for Computing Machinery
Pages180-183
Number of pages4
ISBN (Electronic)9781450338462
DOIs
StatePublished - 20 Oct 2015
Event2015 International Conference on Big Data Applications and Services, BigDAS 2015 - Jeju Island, Korea, Republic of
Duration: 20 Oct 201523 Oct 2015

Publication series

NameACM International Conference Proceeding Series
Volume20-23-October-2015

Conference

Conference2015 International Conference on Big Data Applications and Services, BigDAS 2015
Country/TerritoryKorea, Republic of
CityJeju Island
Period20/10/1523/10/15

Keywords

  • Data acquisition system
  • Manufacturing data management
  • Production data integration

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