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.
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Bratman, M.E., Israel, D.J., Pollack, M.E.: Plans and Resource Bounded Practical Reasoning. Computational Intelligence 4, 349–355 (1988)
Bunch, L., Breedy, M., Bradshaw, J.M., Carvalho, M., Suri, N., Uszok, A., Hansen, J., Pechoucek, M., Marik, V.: Software Agents for Process Monitoring and Notification. In: ACM Symposium on Applied Computing, pp. 94–99 (2004)
Daw, C.S., Finney, C.E.A., Tracy, E.R.: A review of symbolic analysis of experimental data. Review of Scientific Instruments 74(2), 915–930 (2003)
Dickinson, I.: BDI Agents and the Semantic Web: Developing User-Facing Autonomous Applications. Doctoral thesis, University of Liverpool, England (2006)
Goonatilake, S., Khebbal, S. (eds.): Intelligent Hybrid Systems. John Wiley & Sons, Chichester (1995)
Grigoris, A., Van Harmelen, F.A: Semantic Web Primer. MIT Press, Cambridge (2004)
Kalogeras, A., Gialellis, J., Alexacos, C., Georgoudakis, M., Koubias, S.: Vertical Integration of Enterprise Industrial Systems Utilizing Web Services. IEEE Trans. Industrial Informatics 2(2), 120–128 (2006)
TKhatkhate, A., Ray, A., Keller, E., Gupta, S., Chin, S.C.: Symbolic time-series analysis for anomaly detection in mechanical systems. IEEE/ASME Transactions on Mechatronics 11(4), 439–447 (2006)
Koskinen, T., Nieminen, M., Paunonen, H., Oksanen, J.: The Framework for Indirect Management Features of Process Control User Interfaces. In: 10th International Conference on Human - Computer Interaction, Crete, Greece (2003)
Maes, P.: Agents that Reduce Work and Information Overload. Communications of the ACM 37, 30–40 (1994)
Misono, S., Koide, S., Shimada, N., Kawamura, M., Nagano, S.: Distributed Collaboraitve Decision Support System for Rocket Launch Operation. In: IEEE/ASME International Conference on Advanced Mechatronics, Monterey, California, USA, IEEE Computer Society Press, Los Alamitos (2005)
Oates, T., Nagendra Prasad, M.V., Lesser, V.R.: Cooperative Information-Gathering: A Distributed Problem-Solving Approach. IEEE Proceedings on Software Engineering, Special Issue on Agent-based Systems 144, 72–88 (1997)
OWL Web Ontology Language: W3C Recommendation, http://www.w3c.org/TR/olw-ref/
Pakonen, A., Tommila, T., Pirttioja, T., Seilonen, I.: OWL Based Information Agent Services for Process Monitoring. In: 12th IEEE International Conference on Emerging Technologies and Factory Automation (ETFA 2007), Patras, Greece, IEEE Computer Society Press, Los Alamitos (submitted, 2007)
Paunonen, H.: Roles of Informating Process Control Systems. Tampere University of Technology, Tampere, Finland (1997)
Pirttioja, T., Pakonen, A., Seilonen, I., Halme, A., Koskinen, K.: Multi-Agent Based Information Access Services for Condition Monitoring in Process Automation. In: 3rd IEEE International Conference on Industrial Informatics (INDIN 2005), Perth, Australia (2005)
Pirttioja, T., Halme, A., Seilonen, I., Koskinen, K., Pakonen, A.: Multi-Agent System Enhanced Supersision of Process Automation. In: IEEE 2006 Workshop on Distributed Intelligent Applications, Prague, Czech Republic, IEEE Computer Society Press, Los Alamitos (2006)
Rao, A.O., Georgeff, M.P.: BDI Agents: From Theory to Practice, Technical Note 56, Australian Artificial Intelligence Institute, Melbourne, Australia (1995)
Seilonen, I., Pirttioja, T., Pakonen, A., Halme, A., Koskinen, K.: Indirect Process Monitoring with Constraint Handling Agents. In: 4th International IEEE Conference on Industrial Informatics (INDIN 2006), Singapore (2006)
Seppälä, J., Salmenperä, M.: Intelligent Visualisation of Pocess State Using Service Oriented Architecture. In: 16th IFAC World Congress, July 4th - 8th, 2005, Czech Republic (2005)
SPARQL Query Language for RDF: W3C Working Draft http://www.w3.org/TR/rdf-sparql-query/
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Pirttioja, T., Seilonen, I., Pakonen, A., Halme, A., Koskinen, K. (2007). Information Agents Handling Semantic Data as an Extension to Process Monitoring Systems. In: MaÅ™Ãk, V., Vyatkin, V., Colombo, A.W. (eds) Holonic and Multi-Agent Systems for Manufacturing. HoloMAS 2007. Lecture Notes in Computer Science(), vol 4659. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-540-74481-8_39
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DOI: https://doi.org/10.1007/978-3-540-74481-8_39
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