Track Smoothness Calculation Based On Track Image Information

Present development of high-speed railway is still fast.In order to increase the efficiency of track inspection,the dissertation put forward a new algorithm to calculating track geometric state parameters,which is based on track image.Especially considering the short reserved time for working lines at night,the method is certainly practical.Firstly,introducing the process of gaining track image.Discussing and verifying the marginal points density,and confirming that it can take account of marginal points extraction efficiency and computational accuracy for fasteners when k equals ten.Secondly,transforming the coordinates of E to A(track top center point)and F(under the track top inside for 16mm)according to the section dimension parameter of steel rail.The coordinates for A and E are the basis of following cubic spline interpolation.Thirdly,calculating the mileage of neutral points for marginal points through the algorithm in 2.4.4.Combining the mileage and above coordinates of A and F to construct cubic spline interpolation functions.Through the cubic spline interpolation functions and mileage of fasteners,we can get the coordinates of A and F on fastener section.Fourthly,expounding the definition and algorithm of different index,especially the algorithm of track alignment.The dissertation puts forward the incremental mileage iteration method to confirm the accurate location of inspecting chord.Comparing the calculating result of Railway Inspection Instrument and this dissertation,and get some useful conclusions.Finally,writing the software named TGPCS to carry on calculation and analysis for related experiment.Achieving the automation of calculating track geometric state parameters,which makes some contribution to track inspection.