Abstract
For complex engineering systems, there is an increasing demand for safety and reliability. Decision support system (DSS) is designed to offer supervision and analysis about operational situations. A proper model representation is required for DSS to understand the process knowledge. Multilevel Flow Modeling (MFM) represents complex system in multiple levels of means-end and part-whole decompositions, which is considered suitable for plant supervision tasks. The aim of this paper is to explore the different possible functionalities by applying MFM to DSS, where both currently available techniques of MFM reasoning and less mature yet relevant MFM concepts are considered. It also offers an architecture design of task organization for MFM software tools by using the concept of agent and technology of multiagent software system.
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References
Lind, M.: An introduction to multilevel flow modeling. Nuclear Safety and Simulation 2(1), 22–32 (2011)
Lind, M., Yoshikawa, H., Jorgensen, S.B., Yang, M., Tamayama, K., Okusa, K.: Multi-level flow modeling of Monju Nuclear Power Plant. Nuclear Safety and Simulation 2(3), 274–284 (2011)
Gola, G., Lind, M., Zhang, X., Heussen, K.: Functional Representation of Process Operation with Multilevel Flow Models for Diagnostic Decision Support. In: OECD Halden Reactor Project Report. HWR-1059 (2012)
Wu, J., Zhang, L., Liang, W., Hu, J.: A novel failure mode analysis model for gathering system based on Multilevel Flow Modeling and HAZOP. Process Safety and Environmental Protection 91(1-2), 54–60 (2013)
Lind, M.: Reasoning about causes and consequences in Mulitlevel Flow Models. In: Advances in Safety, Reliability and Risk Management - Proceedings of the European Safety and Reliability Conference, ESREL 2011, pp. 2359–2367 (2011)
Lind, M.: Control functions in MFM: basic principles. Nuclear Safety and Simulation 2(2), 132–140 (2011)
Lind, M., Yoshikawa, H., Jorgensen, S.B., Yang, M., Tamayama, K., Okusa, K.: Modeling Operating Modes for the Monju Nuclear Power Plant. In: Proceedings of the 8th International Topical Meeting on Nuclear Plant Instrumentation, Control and Human Machine Interface Technologies, San Diego, CA, United States (2012)
Us, T., Jensen, N., Lind, M., Jorgensen, S.B.: Fundamental Principles of Alarm Design. Nuclear Safety and Simulation 2(1), 44–51 (2011)
Lind, M.: Modeling Safety Barriers and Defense in Depth with Mulitlevel Flow Modeling. In: Proceeding of First International Symposium on Socially and Technically Symbiotic Systems, Okayama, Japan (2012)
Yoshikawa, H., Yang, M., Hashim, M., Lind, M., Zhang, Z.: Design of risk monitor for nuclear reactor plants. Nuclear Safety and Simulation 3(2), 236–246 (2011)
Yoshikawa, H., Lind, M., Yang, M., Hashim, M., Zhang, Z.: Design Concept of Human Interface System for Risk Monitoring for Proactive Trouble Prevention. In: Proceedings of ICI 2011, Daejeon, Korea (2011)
Thunem, H.P., Thunem, A.P., Lind, M.: Using an Agent-Oriented Framework for Supervision, Diagnosis and Prognosis Applications in Advanced Automation Environments. In: Proceedings of ESREL 2011. European Safety and Reliability Association (2011)
Gadomski, A.M.: TOGA: A methodological and conceptual pattern for modeling abstract intelligent agent. In: The Proceedings of the First International Round-Table on Abstract Intelligent Agent, Rome, Italy (1993)
DeLoach, S.A.: The MaSE Methodology. In: Bergenti, Gleizes, Zambonelli (eds.) Methodologies and Software Engineering for Agent Systems. The Agent-Oriented Software Engineering Handbook Series: Multiagent Systems, Artificial Societies, and Simulated Organizations, vol. 11. Kluwer Academic Publishing (2004)
Zhang, X., Lind, M.: Agent Based Reasoning in Multilevel Flow Modeling. In: Proceedings of the first International Symposium on Socially and Technically Symbiotic System, Okayama, Japan (2012)
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Zhang, X., Lind, M., Ravn, O. (2013). Multilevel Flow Modeling Based Decision Support System and Its Task Organization. In: Ali, M., Bosse, T., Hindriks, K.V., Hoogendoorn, M., Jonker, C.M., Treur, J. (eds) Recent Trends in Applied Artificial Intelligence. IEA/AIE 2013. Lecture Notes in Computer Science(), vol 7906. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-642-38577-3_44
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DOI: https://doi.org/10.1007/978-3-642-38577-3_44
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