Proactive computing in process monitoring: Information agents for operator support

Antti Pakonen, Teppo Pirttioja, Ilkka Seilonen, Teemu Tommila

Research output: Chapter in Book/Report/Conference proceedingConference article in proceedingsScientificpeer-review

5 Citations (Scopus)

Abstract

While automation systems can track thousands of measurements it is still up to human process operators to determine the operational situation of the controlled process, particularly in abnormal situations. To fully exploit the computing power of embedded processors and to release humans from simple data harvesting activities, the concept of proactive computing tries to exploit the strengths of both man and machine. Proactive features can be implemented using intelligent agent technology, enabling humans to move from simple interaction with computers into supervisory tasks. Autonomous information agents can handle massive amounts of heterogeneous data. They perform tedious tasks of information retrieving, combining and monitoring on the behalf of their users. This paper presents a multi-agent-based architecture for process automation, which aims to support process operators in their monitoring activities. The approach is tested with a scenario inspired by a real-world industrial challenge. (24 refs.)
Original languageEnglish
Title of host publicationProceedings
Subtitle of host publicationIEEE Conference on Emerging Technologies and Factory Automation, ETFA 2006
Place of PublicationPiscataway, NJ, USA
PublisherIEEE Institute of Electrical and Electronic Engineers
Pages153-158
ISBN (Print)0-7803-9758-4
DOIs
Publication statusPublished - 2006
MoE publication typeA4 Article in a conference publication
EventIEEE Conference on Emerging Technologies and Factory Automation, ETFA 2006 - Prague, Czech Republic
Duration: 20 Sep 200622 Sep 2006

Conference

ConferenceIEEE Conference on Emerging Technologies and Factory Automation, ETFA 2006
Abbreviated titleETFA 2006
CountryCzech Republic
CityPrague
Period20/09/0622/09/06

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Process monitoring
Automation
Intelligent agents
Monitoring

Cite this

Pakonen, A., Pirttioja, T., Seilonen, I., & Tommila, T. (2006). Proactive computing in process monitoring: Information agents for operator support. In Proceedings: IEEE Conference on Emerging Technologies and Factory Automation, ETFA 2006 (pp. 153-158). Piscataway, NJ, USA: IEEE Institute of Electrical and Electronic Engineers . https://doi.org/10.1109/ETFA.2006.355408
Pakonen, Antti ; Pirttioja, Teppo ; Seilonen, Ilkka ; Tommila, Teemu. / Proactive computing in process monitoring : Information agents for operator support. Proceedings: IEEE Conference on Emerging Technologies and Factory Automation, ETFA 2006. Piscataway, NJ, USA : IEEE Institute of Electrical and Electronic Engineers , 2006. pp. 153-158
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Pakonen, A, Pirttioja, T, Seilonen, I & Tommila, T 2006, Proactive computing in process monitoring: Information agents for operator support. in Proceedings: IEEE Conference on Emerging Technologies and Factory Automation, ETFA 2006. IEEE Institute of Electrical and Electronic Engineers , Piscataway, NJ, USA, pp. 153-158, IEEE Conference on Emerging Technologies and Factory Automation, ETFA 2006, Prague, Czech Republic, 20/09/06. https://doi.org/10.1109/ETFA.2006.355408

Proactive computing in process monitoring : Information agents for operator support. / Pakonen, Antti; Pirttioja, Teppo; Seilonen, Ilkka; Tommila, Teemu.

Proceedings: IEEE Conference on Emerging Technologies and Factory Automation, ETFA 2006. Piscataway, NJ, USA : IEEE Institute of Electrical and Electronic Engineers , 2006. p. 153-158.

Research output: Chapter in Book/Report/Conference proceedingConference article in proceedingsScientificpeer-review

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AU - Pakonen, Antti

AU - Pirttioja, Teppo

AU - Seilonen, Ilkka

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N2 - While automation systems can track thousands of measurements it is still up to human process operators to determine the operational situation of the controlled process, particularly in abnormal situations. To fully exploit the computing power of embedded processors and to release humans from simple data harvesting activities, the concept of proactive computing tries to exploit the strengths of both man and machine. Proactive features can be implemented using intelligent agent technology, enabling humans to move from simple interaction with computers into supervisory tasks. Autonomous information agents can handle massive amounts of heterogeneous data. They perform tedious tasks of information retrieving, combining and monitoring on the behalf of their users. This paper presents a multi-agent-based architecture for process automation, which aims to support process operators in their monitoring activities. The approach is tested with a scenario inspired by a real-world industrial challenge. (24 refs.)

AB - While automation systems can track thousands of measurements it is still up to human process operators to determine the operational situation of the controlled process, particularly in abnormal situations. To fully exploit the computing power of embedded processors and to release humans from simple data harvesting activities, the concept of proactive computing tries to exploit the strengths of both man and machine. Proactive features can be implemented using intelligent agent technology, enabling humans to move from simple interaction with computers into supervisory tasks. Autonomous information agents can handle massive amounts of heterogeneous data. They perform tedious tasks of information retrieving, combining and monitoring on the behalf of their users. This paper presents a multi-agent-based architecture for process automation, which aims to support process operators in their monitoring activities. The approach is tested with a scenario inspired by a real-world industrial challenge. (24 refs.)

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DO - 10.1109/ETFA.2006.355408

M3 - Conference article in proceedings

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Pakonen A, Pirttioja T, Seilonen I, Tommila T. Proactive computing in process monitoring: Information agents for operator support. In Proceedings: IEEE Conference on Emerging Technologies and Factory Automation, ETFA 2006. Piscataway, NJ, USA: IEEE Institute of Electrical and Electronic Engineers . 2006. p. 153-158 https://doi.org/10.1109/ETFA.2006.355408