Abstract
The on-the-road fault diagnosis of the urban rail train passenger compartment door is a weak field in the world research. At present, most of the fault diagnosis and monitoring models for door systems are based on the analysis of historical data. Under the background of continuous development and innovation of railroad crossing equipment, it is urgent to study the model of door system suitable for online monitoring and fault diagnosis. The modeling method combining SDG(signed directed graph) diagram and Petri net is adopted. The Petri net with improved conditional fuzzy time constraint is the first layer, and the SDG diagram is the second layer. Through the dynamic simulation and concurrent processing capability of Petri net, the dynamic process simulation of the system is carried out. At the same time, the SDG map and the Petri net are connected by means of standard tables; The SDG diagram is used to construct a hazard identification and fault mining for the causal relationship between related variables in a certain state of the library. Aiming at the urban rail passenger room plug door system, the model is established and the online safety monitoring hidden danger mining process of the model method in the urban rail plug door is analyzed.
Highlights
With the modernization of the city, urban rail transit plays an increasingly important role in the way the citizens travel
The research on fault diagnosis and hidden danger mining of the door system is of great significance [2]
The on-the-road fault diagnosis of the door of the urban rail train passenger compartment is a weak field of research in the world[1]
Summary
With the modernization of the city, urban rail transit plays an increasingly important role in the way the citizens travel. The on-the-road fault diagnosis of the door of the urban rail train passenger compartment is a weak field of research in the world[1]. Most researches on fault diagnosis methods for door systems are based on the analysis of historical data. Based on the two-layer model of Purdue University's SDG and Petri nets, this paper uses the time-sharing Petri net and improves the conditional fuzzy time-constrained Petri net for the complex dynamic discrete system of the door system, and the door opening control system for the urban rail passenger compartment. The modeling analysis is carried out to demonstrate the effectiveness of the method in HAZOP analysis of the urban rail train sliding door control system
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