Communication simulation of on-board diagnosis network in high-speed Maglev trains

摘要

The on-board diagnosis network is the nervous system of high-speed Maglev trains,connecting all controller,sensors,and corresponding devices to realize the information acquisition and control.In order to study the on-board di-agnosis network's security and reliability,a simulation model for the on-board diagnosis network of high-speed Mag-lev trains with the optimal network engineering tool(OPNET) was built to analyze the network's performance,such as response error and bit error rate on the network load,throughput,and node-state response.The simulation model was verified with an actual on-board diagnosis network structure.The results show that the model results obtained are in good agreement with actual system performance and can be used to achieve actual communication network optimiza-tion and control algorithms.