The Solution Method Of Track Geometry Based On The Bogie Motion

The rapid and accurate measurement of track geometric irregularity is important for the safe operation of railway system.On-line monitoring technology for diagnosing track irregularity through the dynamic response of operating vehicles is the development trend of intelligent railways.The development of external track inspection instrument conforms to the development concept of intelligent railway.The key technology is to use the attitude angle of the operating vehicle frame to diagnose the geometric state of the track and realize high-frequency track detection.At present,the relevant theoretical and applied research in this field is relatively weak,and it is difficult to support engineering applications.In order to solve this problem,this thesis studies the track irregularity solution method based on the attitude angle of the frame.The main research contents include the following aspects:(1)In order to determine the feasibility of the track irregularity calculation method based on the attitude angle of the frame,the correlation between the two is studied.The correlation degree of the two sets of data in the frequency domain is analyzed by the coherence function,and the feasibility of the track irregularity calculation method based on the attitude angle of the frame is clarified.(2)The geometric relationship between track irregularity and frame attitude angle is analyzed,and the calculation model of track irregularity is deduced.The track alignment is identified by using the attitude angle information of the frame,which eliminates the influence of the track alignment in the curve section on the track irregularity calculation,and provides a theoretical basis for the dynamic measurement of track irregularity based on the attitude angle of the frame.(3)Aiming at the problem of deviation in the solution result,the error and its source of the solution method are studied.Through the transfer function and simulation test analysis,it is known that the frame as the measurement chord makes the solution result have high frequency distortion;the increase of driving speed makes the calculation result deviate from the actual value,and the deviation accumulates with the increase of mileage.Combined with the error analysis results,a data fusion method based on complementary filtering is proposed to compensate the error of the solution results.(4)Aiming at the problem of insufficient engineering application of the solution method,the data processing scheme is studied,the time-space domain mapping relationship of the measured data is analyzed,and the interpolation processing technology is used to complement the spatial sequence of the detection data,which solves the problem of time domain data processing distortion.Analyze the influence of environmental noise in the detection data,and perform data preprocessing operations on the measured data in three aspects: outlier elimination,low-frequency trend term elimination,and rail seam information elimination to improve the applicability of the calculation results in the actual field.(5)In order to verify the practical application ability of the angle measurement method,the field test is carried out,and the accuracy of the detection results is analyzed by using the internal and external coincidence accuracy as the evaluation index.The accuracy of the disease diagnosis based on the calculation results of the frame attitude angle is more than 60 %,and the detection accuracy can meet the needs of daily track detection.