(54bq) Application of Bayesian Networks in Emergency Response Analysis of Typical Leakage Accidents
AIChE Spring Meeting and Global Congress on Process Safety
2018
2018 Spring Meeting and 14th Global Congress on Process Safety
Global Congress on Process Safety
GCPS Poster Session
Monday, April 23, 2018 - 5:00pm to 7:00pm
The completeness degree of the equipment of the main emergency materials and emergency personnel, which are important components of emergency resources, are selected as the indicators of emergency response capacity. In order to analyze the impact of different emergency resources on the accident consequence in emergencies, development trend of emergencies under different situations of emergency response was studied based on Bayesian network. The Bayesian network model from the beginning to the consequences of the accident was established for a typical leak accident selected. The nodes of emergency response were added at different stages of the accident in the model on the basis of the analysis of influence factors of emergency response, such as the preparation of emergency materials, the consummation degree of emergency organization and etc. The effects of different emergency response processes on accident consequence were analyzed when emergency material and emergency personnel are variously equipped respectively or simultaneously at different stages.
The results can provide a quantitative analysis basis for the establishment of the index system of emergency resources in the chemical industry park, and realize the scientific equipment of emergency resources. It can also guide the emergency command to recombine the most necessary emergency materials and make reasonable personnel arrangements according to the characteristics of the accident, and make quick decisions and command in order to effectively respond to emergencies.