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8243568 
Journal Article 
基于多源异构数据融合的化工安全风险动态量化评估方法 
Liu, Q; Qu, Q; Zhao, D; Liu, S; Wang, J 
2021 
Materials China 
72 
3 
1769-1777 
Chinese 
In view of the lack of multi-source heterogeneous data fusion in process safety risk analysis of petrochemical enterprises, it is difficult to analyze the dynamic time-varying mechanism of risk. First, it is established a dynamic risk propagation model based on the improved fuzzy Petri net, consider parameters such as initial event failure, protection layer failure, and correction factors to obtain the real-time change probability of risk. Then the influence of failure of different protective layers on the probability of accidents is analyzed and the importance degree of different protective layers is obtained. Finally, taking n-hexane buffer tank overflow fire and explosion accident as an example, the dynamic risk calculation was carried out to analyze and compare the change of accident probability under the failure of different protective layers. The results showed that the safety interlock system played a key role in the accident, and the daily detection should be strengthened to prevent the accident. © 2021, Editorial Board of CIESC Journal. All right reserved. 
Integration; Knowledge map; Multi-source heterogeneous data; Process system; Safety