| Issue |
MATEC Web Conf.
Volume 272, 2019
2018 2nd International Conference on Functional Materials and Chemical Engineering (ICFMCE 2018)
|
|
|---|---|---|
| Article Number | 01037 | |
| Number of page(s) | 10 | |
| DOI | https://doi.org/10.1051/matecconf/201927201037 | |
| Published online | 13 March 2019 | |
Modeling and analysis of urban rail plug door system based on Petri net and SDG diagram
1 School of Mechanical and Electrical Engineering, Lanzhou Jiaotong University, China
2 School of Automation and Electrical Engineering, Lanzhou Jiaotong University, China
* Corresponding author: mailto:penw7763@foxmail.com
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.
© The Authors, published by EDP Sciences, 2019
This is an Open Access article distributed under the terms of the Creative Commons Attribution License 4.0, which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.
Current usage metrics show cumulative count of Article Views (full-text article views including HTML views, PDF and ePub downloads, according to the available data) and Abstracts Views on Vision4Press platform.
Data correspond to usage on the plateform after 2015. The current usage metrics is available 48-96 hours after online publication and is updated daily on week days.
Initial download of the metrics may take a while.