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Performance assessment of the integration between industrial agents and low-level automation functions
Linköping University, Department of Management and Engineering, Manufacturing Engineering. Linköping University, Faculty of Science & Engineering.ORCID iD: 0000-0002-0248-8180
SAP, Germany.
Inst Politecn Braganca, Portugal.
Inst Politecn Braganca, Portugal.
Show others and affiliations
2018 (English)In: 2018 IEEE 16TH INTERNATIONAL CONFERENCE ON INDUSTRIAL INFORMATICS (INDIN), IEEE , 2018, p. 121-126Conference paper, Published paper (Refereed)
Abstract [en]

The increasing need for more adaptive production environments is a big motivator for the adoption of agent-based technologies in industrial systems, as they provide better mechanisms for handling dynamically and intelligently various kinds of production disturbances. Unlike with the utilization of most conventional automation languages, the use of agents enables, in an easy way, the setup of dynamic and autonomous adaptive processes to handle large and complex engineering system functions and interactions. Agent-technologies in cyber-physical systems contexts require at some point integration with automation controllers. However, most commonly available and used agent system implementations in the industry were not designed for hard real-time control use cases, and do not utilize real-time operating systems or dedicated hardware. Hence, they cannot match the hard-real-time performance of automation controllers. This work provides some insights on the performance that can be achieved with agent-based approaches that integrate with low-level automation system functions. It considers the performance of the agent-based practices in light of non-real-time dedicated hardware or operating systems. The results show that agents are well suited for the majority of soft-real-time control applications.

Place, publisher, year, edition, pages
IEEE , 2018. p. 121-126
Series
IEEE International Conference on Industrial Informatics INDIN, ISSN 1935-4576
National Category
Computer Sciences
Identifiers
URN: urn:nbn:se:liu:diva-153193DOI: 10.1109/INDIN.2018.8471927ISI: 000450180200017ISBN: 978-1-5386-4829-2 (electronic)ISBN: 978-1-5386-4830-8 (print)OAI: oai:DiVA.org:liu-153193DiVA, id: diva2:1267264
Conference
16th IEEE International Conference on Industrial Informatics (INDIN)
Available from: 2018-11-30 Created: 2018-11-30 Last updated: 2018-11-30

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CiteExportLink to record
Permanent link

Direct link
Cite
Citation style
  • apa
  • harvard1
  • ieee
  • modern-language-association-8th-edition
  • vancouver
  • oxford
  • Other style
More styles
Language
  • de-DE
  • en-GB
  • en-US
  • fi-FI
  • nn-NO
  • nn-NB
  • sv-SE
  • Other locale
More languages
Output format
  • html
  • text
  • asciidoc
  • rtf