Research On Flow Of Railway Emergency Plan Based On Stochastic Petri Net

In order to take advantage of information technology to support emergency management, it needs to describe emergency plans formally and establish the theoretical framework so that they can be correlated with emergency information systems closely. It can improve the efficiency of railway emergency rescue and extract emergency rescue flow out of the real world to realize emergency plans systematic and digital in a formal way then the emergency plans will play a greater role in emergency process.There are many methods used for the modeling of business process. Stochastic Petri Net (SPN) is a better choice because of the strict mathematical definitions and analysis methodology. This paper concludes the research results of SPN. And then, SPN was selected as the modeling tool.Based on the analysis of railway emergency rescue flow, this paper separates the rescue flow into four parts including early warning flow, expert decision-making flow, rescue disposal flow , later rescue disposal flow and then the four parts with their relations were described detailedly. After that, SPN model on railway emergency rescue flow was established, and then the paper simplifies the model for equivalent performance, which is not only more advantageous to analyze the system performance but also easier to understand.Finally, the paper takes the emergency plan for major accident of passenger train as the example, and the method of Markov chain was used to analyze the system performance of SPN model. Taking into account the randomness and fuzziness of rescue time, fuzzy methods related were used to compute the system performance indexes with which this paper can analyze the rescue efficiency, busy state and system average delayed time.