Safety Risk Assessment in Fluid Catalytic Cracking Units Based on HAZOP and Knowledge Graph

The production process of the fluid catalytic cracking unit involves many hazardous factors and presents significant fire and explosion risks. Safety risk assessment can provide strong support for targeted protection of the system, effectively reducing the occurrence of safety accidents. To address the issue of the traditional hazard and operability analysis (HAZOP) ‘s difficulty in utilizing information, which results in a lack of research on risk assessment based on HAZOP, this paper fully considers the complexity and high risk of fluid catalytic cracking units and proposes a quantitative risk assessment algorithm based on a safety knowledge graph. Firstly, HAZOP is used to conduct a standardized analysis of the unit, integrating the analysis results with system process knowledge to construct a safety knowledge graph. On this basis, quantitative risk assessment is conducted for HAZOP deviation nodes, supplementing the evaluation rules of the risk priority number (RPN) algorithm and designing risk assessment functions to effectively improve the comprehensiveness and accuracy of risk assessment. Experimental results show that the risk sorting obtained through this method has high reliability and accuracy, providing strong support for targeted protection of the system.

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Publication Details

Published
2024-11-01
DOI
https://doi.org/10.1109/cac63892.2024.10864571
Primary Topic
Rough Sets and Fuzzy Logic
Type
article
Field-Weighted Citation Impact
0.00

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article

Safety Risk Assessment in Fluid Catalytic Cracking Units Based on HAZOP and Knowledge Graph

Runlong Wang, Chunjie Zhou, Yanjun Liu, Peng Xu et al.
Rough Sets and Fuzzy Logic
article

Safety Risk Assessment in Fluid Catalytic Cracking Units Based on HAZOP and Knowledge Graph

Runlong Wang, Chunjie Zhou, Yanjun Liu, Peng Xu, Qi Sun
article en

Abstract

The production process of the fluid catalytic cracking unit involves many hazardous factors and presents significant fire and explosion risks. Safety risk assessment can provide strong support for targeted protection of the system, effectively reducing the occurrence of safety accidents. To address the issue of the traditional hazard and operability analysis (HAZOP) ‘s difficulty in utilizing information, which results in a lack of research on risk assessment based on HAZOP, this paper fully considers the complexity and high risk of fluid catalytic cracking units and proposes a quantitative risk assessment algorithm based on a safety knowledge graph. Firstly, HAZOP is used to conduct a standardized analysis of the unit, integrating the analysis results with system process knowledge to construct a safety knowledge graph. On this basis, quantitative risk assessment is conducted for HAZOP deviation nodes, supplementing the evaluation rules of the risk priority number (RPN) algorithm and designing risk assessment functions to effectively improve the comprehensiveness and accuracy of risk assessment. Experimental results show that the risk sorting obtained through this method has high reliability and accuracy, providing strong support for targeted protection of the system.

Huazhong University of Science and Technology (CN)
Science, Technology and Innovation Commission of Shenzhen Municipality
Openalex Percentile: Top 69%
Rough Sets and Fuzzy Logic
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Safety Risk Assessment in Fluid Catalytic Cracking Units Based on HAZOP and Knowledge Graph — Runlong Wang, Chunjie Zhou, et al. · (2024) | TGRS Research Map | TGRS