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https://doi.org/10.15255/KUI.2017.030

Scenario Object Model Based On-Line Safety Analysis for Chemical Process

Dong Gao orcid id orcid.org/0000-0002-5304-5849 ; College of Information Science and Technology, Beijing University of Chemical Technology, Beijing, P.R. China
Beike Zhang ; College of Information Science and Technology, Beijing University of Chemical Technology, Beijing, P.R. China
Xin Xu ; Beijing Digital Process Technology Co. Ltd., Beijing, P.R. China
Chong Guang Wu ; College of Information Science and Technology, Beijing University of Chemical Technology, Beijing, P.R. China


Puni tekst: engleski pdf 702 Kb

str. 601-610

preuzimanja: 510

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Sažetak

HAZOP (Hazard and Operability Analysis) is a method of safety analysis, which is widely used in chemical processes. The conventional methods for safety analysis consist of human based safety analysis and computer aid safety analysis. All of them are off-line and qualitative and it is difficult to carry out on-line safety analysis. On-line safety analysis based on scenario object model was proposed for chemical processes. The scenario object model was built using ontology, by which the safety information can be transferred, reused and shared effectively. Deviation degree and qualitative trend were added to the model. Based on the model and new inference algorithm, on-line safety analysis can be implemented for chemical processes. Once a fault or abnormal event occurs, the causes can be traced and the consequences can be predicted. At the same time, semi-quantitative safety analysis is carried out. The resolution can be improved and it can help the operators handle the problems in time and effectively. The method was used for safety analysis of a reactor process and the effectiveness of the method was proved.


This work is licensed under a Creative Commons Attribution 4.0 International License.

Ključne riječi

scenario object model; on-line; hazard analysis; HAZOP; qualitative trend

Hrčak ID:

189462

URI

https://hrcak.srce.hr/189462

Datum izdavanja:

30.11.2017.

Podaci na drugim jezicima: hrvatski

Posjeta: 1.404 *