树状结构网络在列车状态监测中的应用

Application of tree-structured network for urban rail train condition monitoring

为确保大数据量下列车状态数据传输有序、传输错误可修复,建立了列车状态监测设备树状组网模型,分析了树状拓扑列车在途监测系统应用的可行性,继而给出了支持自由挂载的车载设备组网算法,实现了基于以太网的数据传输和路由数据结构与算法在NS-2工具上的建模.仿真结果表明,树状网络延时主要受制于发送端与接收端所在网络的深度,相对于EXP流量模型和使用TCP协议,在树状网络中使用CBR流量模型与UDP协议能够获得更好的性能.

To ensure large amount train condition monitoring data transmission orderly and errors repairable,this paper establishes a tree-structured model for train condition monitoring devices,and does feasibility analysis of tree topology in application of train monitoring system.By giving the free mount algorithm of train condition monitoring equipment,we realize the data structure and algorithm for transmission and routing based on Ethernet.After modeling in the NS-2 tool,we recognize that delay in this network topology is mainly affected by depth between sending node and receiving node.The simulation results show,compared with EXP flow model in TCP,applying CBR traffic model with UDP can get better performance.