Security Analysis about Switching Equipment Based on Bayesian Networks

With the development of rail transport, the role of urban rail transit is more important in promoting economic development and social progress. Therefore, from the point of the view of safety system engineering, it is a very valuable research that we use qualitative and quantitative research methods to evaluate the various factors affecting the urban rail transit safety, to establish appropriate safety measures. By the study of switching equipment, we will build a Bayesian networks model on switching equipment in GeNIe, and through parameter learning of the Bayesian networks we can do quantitative safety analysis on switching equipment. Via the safety analysis model of switching equipment based on Bayesian networks we can not only appropriate security risk quantification calculations point switch, but so analysis and diagnose the main factors which lead to different consequences and posterior probabilities.