Integrating Hazard-oriented Knowledge Representation for Multilevel Flow Modelling in Process Hazard Identification

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Abstract

In addition to process control at the equipment level, the Identification of systemic hazards and the realization of process safety are also part of the operational problems of complex systems. To improve the effectiveness of hazard Identification based on the Multilevel Flow Modelling(MFM) models, this paper proposes that a hazard-oriented knowledge representation can represent more hazards than previous models used for online operational decision support in terms of latent intention, chemical, and physical hazard properties of materials and effects of multiple conditions in combination. Thus, the scope of application of the MFM model is extended from online operational decision support to hazard identification, and the application phase of the model is extended from the operational phase to the design phase. Moreover, the results are demonstrated by a Minxo process modeling and compared with its Hazard and Operability study(HAZOP) report results, and the representation rate of hazard of the MFM model incorporating hazard-oriented knowledge is improved, showing great potential for further optimization of the MFM-assisted HAZOP study.

Original languageEnglish
Book seriesIFAC Proceedings Volumes (IFAC-PapersOnline)
Volume56
Issue number2
Pages (from-to)7208-7215
ISSN1474-6670
DOIs
Publication statusPublished - 2023
Event22nd IFAC World Congress
- Pacific Convention Plaza Yokohama, Yokohama, Japan
Duration: 9 Jul 202314 Jul 2023
Conference number: 22

Conference

Conference22nd IFAC World Congress
Number22
LocationPacific Convention Plaza Yokohama
Country/TerritoryJapan
CityYokohama
Period09/07/202314/07/2023
SponsorAzbil Corporation, Fujita Corporation, Hitachi, Ltd., Kumagai Gumi Co., Ltd., The Society of Instrument and Control Engineers (SICE)

Keywords

  • Safety Analysis
  • Multilevel Flow Modelling
  • System Control
  • Hazard
  • HAZOP
  • Functional Modeling
  • Process Systems

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