Toward Comprehensive Decision Support Using Multilevel Flow Modeling

Research output: Contribution to journalJournal article – Annual report year: 2019Researchpeer-review

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The complexity of modern industrial plants poses significant challenges for the design of effective operator interfaces. Although established practices can significantly reduce the frequency of alarms, operators often cannot resolve the failure cascades commonly occurring during emergency situations. Automating control rooms by incorporating design and operation knowledge about the systems can significantly improve operator efficacy. Intelligent support systems should reduce the amount of information and provide more context to the operators. The operators focus should be shifted from information acquisition to taking informed decisions about mitigation steps. This contribution gives a brief review of the development of Multilevel Flow Modeling (MFM) and its application to provide operators with decision support and situation awareness, focusing on implementations directly utilising the knowledge represented in MFM. Finally, current efforts toward a comprehensive intelligent human machine interface for operators are outlined.
Original languageEnglish
Book seriesIFAC-PapersOnLine
Number of pages8
ISSN2405-8963
Publication statusAccepted/In press - 2019
Event5th IFAC Conference on Intelligent Control and Automation Sciences - Riddel Hall, Belfast, United Kingdom
Duration: 21 Aug 201923 Aug 2019
http://www.qub.ac.uk/sites/icons2019/

Conference

Conference5th IFAC Conference on Intelligent Control and Automation Sciences
LocationRiddel Hall
CountryUnited Kingdom
CityBelfast
Period21/08/201923/08/2019
Internet address

    Research areas

  • Human supervisory control, Decision support systems, Intelligent knowledge-based systems, Alarm systems, Reasoning, Fault diagnosis

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