Abstract
In order to make safety risk assessment more accurately and more reasonably for high-speed railway station in China, this paper analyzes risk factors of fault tree and transfers the fault tree of risk accident into fuzzy petri net and then builds the FPN-FTA model by combining the dynamic weighting fuzzy petri net (FPN) and fault tree analysis (FTA) based on the latter. This paper simulates the FTA-FPN model with Stateflow of Matlab software. Then, it builds up a bi-objective risk control model, making the minimum safety risk level and minimum necessary cost as the objectives, and it designs discrete particle swarm optimization algorithm to solve the risk control model. Finally, this paper selects stampede accident of Shijiazhuang high-speed railway station as an example in case study for assessing stampede risk level and gets the risk control schemes for this station. The results verify the feasibility and validity of the model and algorithm.
Highlights
In order to make safety risk assessment more accurately and more reasonably for high-speed railway station in China, this paper analyzes risk factors of fault tree and transfers the fault tree of risk accident into fuzzy petri net and builds the FPN-FTA model by combining the dynamic weighting fuzzy petri net (FPN) and fault tree analysis (FTA) based on the latter. is paper simulates the FTA-FPN model with Stateflow of Matlab software. en, it builds up a bi-objective risk control model, making the minimum safety risk level and minimum necessary cost as the objectives, and it designs discrete particle swarm optimization algorithm to solve the risk control model
Fault tree theory is widely applied to safety risk assessment at present [5,6,7,8], while fuzzy petri net is mostly used for safety diagnosis [9,10,11,12,13,14]
In order to solve these problems, this paper takes the similar characteristics of dynamic weighting fuzzy petri net (FPN) and fault tree analysis (FTA) into consideration, introduces FTA-FPN into railway safety risk assessment, analyzes risk factors of fault tree, maps the fault tree of risk accident into fuzzy petri net, and builds up railway safety risk assessment model combined with both FPN and FTA [4]. en, this paper proposes to simulate FTA-FPN model by Stateflow, considering the graphic characteristics of fuzzy petri net
Summary
W (πij) refers to the dynamic weighting which represents the support of prerequisite proposition to result proposition; it varies with the changing of α(pi). E specific rules for mapping fault tree model into fuzzy petri net model are as follows:. e events of fault tree and the places of petri net can be transformed into each other. e causal relations between events of fault tree and the transitions of petri net can be transformed into each other. Cause events, and logical gates into petri net Figure 1: Process of safety risk assessment method.
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