Title :
Study on Safety Risk Assessment Expert System in Petrochemical Industry Based on Fault Tree
Author :
Song, Wenhua ; Shi, Huifang ; Li, Qinggong
Author_Institution :
Firefighting & Safety Eng. Inst., Tianjin Polytech. Univ., Tianjin, China
fDate :
Nov. 30 2009-Dec. 1 2009
Abstract :
In this paper, we design a safety risk assessment expert system (SRAES) in petrochemical industry based on fault tree (FT). The expert knowledge is acquired through fault tree analysis (FTA) and stored in a knowledge base (KB) of the expert system. We adopt a rule and framework based reasoning (RFBR) method which is intuitive and conforms to the human thinking customary. This system will figure out two main difficulties, that is, hard to acquire system knowledge and how to construct a high efficient reasoning mechanism. It can realize the safety risk assessment (SRA) of dangerous and harmful factors of the engineering in the petrochemical industry in theory, and improve efficiency and accuracy of the SRA.
Keywords :
expert systems; fault trees; inference mechanisms; petrochemicals; production engineering computing; risk management; safety; fault tree; fault tree analysis; knowledge base; petrochemical industry; rule and framework based reasoning; safety risk assessment expert system; Chemical industry; Expert systems; Fault trees; Fuel storage; Industrial accidents; Knowledge acquisition; Petrochemicals; Risk management; Safety; US Department of Transportation; fault tree analysis; knowledge acquisition; rule and framework based reasoning; safety risk assessment;
Conference_Titel :
Knowledge Acquisition and Modeling, 2009. KAM '09. Second International Symposium on
Conference_Location :
Wuhan
Print_ISBN :
978-0-7695-3888-4
DOI :
10.1109/KAM.2009.255