ArticleRoyal Society open science2018
Safety assessment of petrochemical enterprise using the cloud model, PHA-LOPA and the bow-tie model.
Article in Royal Society open science, 2018. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 6 papers.
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Who cites it
6 citing papers in PubMed.
- Applying the layers of protection analysis (LOPA) method to high containment level biological facilities.Scientific reports · 2025Article
- Statistical Analysis and Prediction of Fatal Accidents in the Metallurgical Industry in China.International journal of environmental research and public health · 2020Article
- Optimization of sand casting performance parameters and missing data prediction.Royal Society open science · 2019Article
- Thermal decomposition characteristics of foundry sand for cast iron in nitrogen atmosphere.Royal Society open science · 2018Article
- Sand casting safety assessment for foundry enterprises: fault tree analysis, Heinrich accident triangle, HAZOP-LOPA, bow tie model.Royal Society open science · 2018Article
- Assessment of air quality using a cloud model method.Royal Society open science · 2018Article
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Authors and funding
4 authors.
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No grant is acknowledged in the PubMed record.
Abstract
Safe production is the foundation of the normal operations of petrochemical enterprises, and it helps maintain social stability. The main purpose of this study is to prevent petrochemical enterprise accidents by proposing a composite safety assessment approach based on the cloud model, preliminary hazard analysis-layer of protection analysis (PHA-LOPA) and the bow-tie model. First, the petrochemical enterprise and its relevant indicators were evaluated based on the cloud model. Second, the quantitative effect of the uncertainty transformation on the evaluation result of the cloud model was further analysed. This mainly includes the error analysis of the numerical characteristics under the conditions of few samples and small values. Third, the critical indicators such as shock and noise can be weakened and prevented by corresponding safety measures based on PHA-LOPA and the bow-tie model. After adopting two independent protection layers, the risk levels of shock and noise decrease from 3 to 2. Then, shock and noise were analysed in depth with the bow-tie model, and the causes and consequences were identified. Moreover, corresponding safety measures were taken to prevent accidents. The case study validated the validity and feasibility of the composite safety assessment approach proposed here.
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