Proactive computing in process monitoring: Information agents for operator support

Antti Pakonen; Teppo Pirttioja; Ilkka Seilonen; Teemu Tommila

doi:10.1109/ETFA.2006.355408

Proactive computing in process monitoring: Information agents for operator support

Antti Pakonen, Teppo Pirttioja, Ilkka Seilonen, Teemu Tommila

Helsinki University of Technology

Research output: Chapter in Book/Report/Conference proceeding › Conference article in proceedings › Scientific › peer-review

5 Citations (Scopus)

7 Downloads (Pure)

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 language	English
Title of host publication	Proceedings
Subtitle of host publication	IEEE Conference on Emerging Technologies and Factory Automation, ETFA 2006
Place of Publication	Piscataway, NJ, USA
Publisher	IEEE Institute of Electrical and Electronic Engineers
Pages	153-158
ISBN (Print)	0-7803-9758-4
DOIs	https://doi.org/10.1109/ETFA.2006.355408
Publication status	Published - 2006
MoE publication type	A4 Article in a conference publication
Event	IEEE Conference on Emerging Technologies and Factory Automation, ETFA 2006 - Prague, Czech Republic Duration: 20 Sept 2006 → 22 Sept 2006

Conference

Conference	IEEE Conference on Emerging Technologies and Factory Automation, ETFA 2006
Abbreviated title	ETFA 2006
Country/Territory	Czech Republic
City	Prague
Period	20/09/06 → 22/09/06

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10.1109/ETFA.2006.355408

Pakonen_et_al_ETFA2006_preprintAccepted author manuscript, 242 KB

Cite this

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title = "Proactive computing in process monitoring: Information agents for operator support",

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.)",

author = "Antti Pakonen and Teppo Pirttioja and Ilkka Seilonen and Teemu Tommila",

note = "Project code: 4589; IEEE Conference on Emerging Technologies and Factory Automation, ETFA 2006, ETFA 2006 ; Conference date: 20-09-2006 Through 22-09-2006",

year = "2006",

doi = "10.1109/ETFA.2006.355408",

language = "English",

isbn = "0-7803-9758-4",

pages = "153--158",

booktitle = "Proceedings",

publisher = "IEEE Institute of Electrical and Electronic Engineers",

address = "United States",

}

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 et al.
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 proceeding › Conference article in proceedings › Scientific › peer-review

TY - GEN

T1 - Proactive computing in process monitoring

T2 - IEEE Conference on Emerging Technologies and Factory Automation, ETFA 2006

AU - Pakonen, Antti

AU - Pirttioja, Teppo

AU - Seilonen, Ilkka

AU - Tommila, Teemu

N1 - Project code: 4589

PY - 2006

Y1 - 2006

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.)

U2 - 10.1109/ETFA.2006.355408

DO - 10.1109/ETFA.2006.355408

M3 - Conference article in proceedings

SN - 0-7803-9758-4

SP - 153

EP - 158

BT - Proceedings

PB - IEEE Institute of Electrical and Electronic Engineers

CY - Piscataway, NJ, USA

Y2 - 20 September 2006 through 22 September 2006

ER -

Proactive computing in process monitoring: Information agents for operator support

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