Research On Detecting And Correcting Mutation Data In The Lateral Level And Track Top Of Inspecting Instrument For Railway Track

During using the 0-level inspecting instrument for railway track to perform static detection operations on ballast and ballastless tracks,if there are obstacles attached to the top or inner side of the rail,such as gravel ballast,cables,cement slurry,oil stains,etc.,when the inspecting instrument for railway track passes through the obstacle position,the inspecting instrument for railway track’s running wheel or side wheel will collide with it,which will cause the angle of the fiber optic gyroscope to be abnormal,resulting in sudden changes in the lateral level and track top data.The occurrence of mutations will affect the quality of the lateral level and track top data.Therefore,it is necessary to carry out in-depth research on the processing of mutations in track detection data.Starting form repeated detection data,and after determining the location where the lateral level and track top data mutation occurs,explores the method of correcting the mutation data.First,based on previous research results,the peak point matching method is introduced to detect the difference between the lateral level and track top digital curves of the round-trip track measurement.In the process of raw data processing,it was found that firstly connecting the segmented detection data and then performing mileage correction could not effectively control the accumulation of mileage measurement error.Therefore,it was selected to first perform mileage correction and then connect the segmented data,and proposed to evaluate the detection effect of different threshold mutations by the accuracy and missed detection rate.Subsequently,for the mutations of track detection data,based on the detection principle of the 10 m string orbit value,and according to the connection between the gyroscope angle measurement error and the direction of inspecting instrument for railway track,the basis for judging the error data in the round-trip track measurement was formulated by the Pearson correlation coefficient and the average value of measured difference.Then establish the functional relationship between the measured difference peak value and the angle error,calculate the difference correction value from the peak value.Finally,with the help of the unaffected detection data and the corrected difference,the other error data is corrected accordingly.In order to verify the correctness and effectiveness of the mutation detection and correction algorithm,the track static detection data under different measurement conditions is selected for experimental analysis.The experimental results show that: first perform mileage correction on the segment detection data and then connect the segment data to control the accumulation of mileage measurement error is better.The peak point matching algorithm can accurately detect the difference between the lateral level and track top digital curves of the round-trip track measurement.With 0.7mm and 0.8mm as the judgement thresholds,the accuracy and missed detection rate of the lateral level and track top data mutation thresholds reach about 94% and 6%,96% and 6% respectively.According to the connection between the gyroscope angle measurement error and the direction of inspecting instrument for railway track,the accuracy of the round-trip measurement error data judgment basis based on the Pearson correlation coefficient and the average value of measured difference both can reach about 90%.The mutation correction algorithm can effectively correct the inconsistency of the lateral level and track top waveforms within the range of10 m,which has a certain practicability.The mutation detection and correction algorithm has high computational efficiency,strong practicability,and easy to program.The development of related software can realize the rapid processing of the round-trip detection data.