Information agents handling semantic data as an extension to process monitoring systems

Teppo Pirttioja, Ilkka Seilonen, Antti Pakonen, Kari Koskinen, Aarne Halme

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

Abstract

An approach to extend process monitoring with the help of information agents (IA) handling semantic data is presented in this paper.
According to this approach, an operator of a process automation system can configure monitoring tasks that a group of IAs performs proactively.
The monitoring tasks are assumed to be composites which refer to several process observations and their logical relations. The purpose of these composite monitoring tasks is to enhance the work of the operator by letting him to supervise process phenomena at a higher level of abstraction instead of
following a large amount of simple measurement data.
The monitoring agents operate as a multi-agent system consisting of agents with capabilities to combine both numerical and symbolic information from several data sources.
The agents can setup and execute user configured monitoring tasks cooperatively. The approach is illustrated with test scenarios using data from an
industrial paper making process.
Original languageEnglish
Title of host publication3rd International Conference on Industrial Applications of Holonic and Multi-Agent Systems, HoloMAS 2007
Pages411-420
Publication statusPublished - 2007
MoE publication typeA4 Article in a conference publication
Event3rd International Conference on Industrial Applications of Holonic and Multi-Agent Systems, HoloMAS 2007 - Regensburg, Germany
Duration: 3 Sep 20075 Sep 2007

Conference

Conference3rd International Conference on Industrial Applications of Holonic and Multi-Agent Systems, HoloMAS 2007
Abbreviated titleHoloMAS 2007
CountryGermany
CityRegensburg
Period3/09/075/09/07

Keywords

  • process monitoring
  • information agents
  • semantic data

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