Research on Prediction of Track Irregularity in Maglev Transportation System Based on BP Network

As a rail transportation tool, the track condition is always an important factor affecting the safe operation of maglev trains. Based on the analysis of the influence of track irregularity on the state of the maglev train suspension system, this paper makes a preliminary prediction and estimation of the impact caused by track irregularity by using the train operation state data provided by the state comprehensive monitoring system. Through the modeling and simulation of the maglev train suspension system, the influences of various track irregularity conditions on the state of the maglev train suspension system are analyzed and compared. By monitoring the changes of the suspension gap and suspension current when the train passes the same position of the track multiple times, and using the prediction method based on the recursive synthetic BP network, the fluctuation amplitude of the suspension gap when the train passes this position of the track in the future is predicted, and then the safety impact of the track irregularity at this location is evaluated.