Abstract
For the process alarm management of chemical process safety analysis, its reliability mainly depends on the design of the safety limit and the optimization of the technical process, but there are few studies on the overall reliability level of process alarm based on the alarm disposal rate under the influence of human factor reliability. By focusing on independent layer analysis technique in the alarm and response, we combined the human reliability analysis (HRA) technology and Bayes theory, to form Human Reliability Analysis in chemical process safety(Chem-HRA), an optimized quantitative evaluation algorithm for chemical alarm failure frequency. The algorithm was applied to a risk event on tank farm’s cut over, ensuring the reliability and accuracy of petrochemical process analysis and disposal of the process alarm.
Published Version
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