Research And Application On Several Key Techniques For Operation And Maintenance Oriented Urban Rail Train Real-time Monitoring

ABSTRACT:Our country is in peak period of large-scale urban rail line construction, over the years, urban rail train delays and accidents show that rail transit safety technology needs to be transformed from passive to active. Operation and maintenance based on realtime conditions are the basis for rail transit active safety, whose pioneering and innovative is the develop direction of urban rail safety engineering.The key technices showing in this paper cover realtime monitoring network construction and fault diagnosis of urban rail train key systems. Through practical application, we realize networked train operation and maintenance system to transform the maintenance business from planed and accidents based model to conditions based pre-maintenance model.The main purpose of this paper is to provide theoretical basis for safety engineering in Chinese urban rail train, details of the main work are as follows:Firstly, system structure of operation and maintenance oriented urban rail trains realtime monitoring has been constructed. We analyse the construction goals, demands and functions for system construction. By using the equivalent failure number cumulative frequency analysis with data of Guangzhou metro lines, we identify the key monitoring objects for urban rail train operation and maintenance. Through the establishment of a suitable system structure, key technologies are describedSecondly, studies have been made to set up the tree structure of urban rail train conditions monitoring. We put forward an optimization method of train video transmission. In order to meet the demand of large data transmission of city rail train with multi-sensors, urban rail train conditions monitoring network of tree structure has been designed and implemented by physical structure and data transmission methods design. Through the establishment of the network capacity and the delay model, the basic topological comparison shows the superiority of the tree network. The modeling and simulation of tree network based on Ethernet shows, compared to the EXP flow model with TCP, the transmission performance of the CBR flow model with UDP is better.Thirdly, for the three key systems we have identified in chapter2, train brake, passenger doors and secondary suspension, we studied fault diagnose methods. At the beginning, we establish mathematic models for the three systems, through analysis we choose different ways for fault diagnosis. For braking system, the use of residual generator and residual estimator has a feature of accurate rate and anti false positives. For secondary suspension system, we use the data driven fault diagnosis method, including the use of wavelet packet energy moment as the fault feature, the least square support vector machine as fault classifier, improved particle swarm algorithm for combined feature selection. The simulation under various train speeds results show that, air spring fault recognition rate is higher than transverse damper. For passenger door system, we use the parameter estimation method with PCA for fault detection, and use rough set for fault isolation. Door model experiment has achieved a high accuracy rate of diagnosis in long opening and closing profile.By taking the line2and line8of Guangzhou Metro as the application background, we build physical structure of this system, establish the system of operational oriented urban rail train realtime conditions monitoring system. After doing research with investigation, methods are found for fault classification and structure and function design of application system. The implementation of application system on J2EE platform shows the practicability.