The rapid and accurate measurement of rail profile is the premise for achieving automated analysis of high-speed railway lines.In practical applications,noise,such as splashes for foreign objects and strong reflected light in the environment can seriously contaminate the rail image,leading to rail tracking failures and decreased measurement accuracy.Therefore,a method combining laser stripe segmentation with profile extraction for rail images is proposed.Firstly,based on the spatiotemporal contextual information of continuously collected images,the Region of Interest(ROI)of the steel rail is located.Then,using a clustering method with data density ratio scaling,image noise in the rail ROI is filtered out and the rail light bands are segmented.Finally,the rail profile along the normal direction of the light strip cross-section is extracted and measured.Using test data from selected typical high-speed railway lines,this paper compares and verifies the clustering evaluation index F1 with Density-Based Spatial Clustering of Applications with Noise(DBSCAN)and Shared Nearest Neighbor Density Clustering(SNN)methods.The accuracy comparison analysis of this method,alongside the grayscale centroid method,the Steger method,and MiniProf measurement results,is carried out.The experimental results show that compared with traditional clustering and profile extraction methods,this method achieves an average F1 value of 0.98,and an average profile measurement error of 0.08 mm.It can cluster rail data of different shapes and sizes into the same category,and the dynamic measurement accuracy of rail profile meets the requirement of 0.15 mm stipulated in the"Management Measures for High-Speed Railway Rail Grinding".It can effectively overcome complex high-speed railway environmental noise,with a processing time of only 2.2 ms per image,making it suitable for the timeliness and accuracy requirements of line automation analysis at the highest detection speed of 350 km·h-1.
关键词
高速铁路/钢轨廓形/动态测量/密度比缩放/激光条纹中心
Key words
High-speed railway/Rail profile/Dynamic measurement/Density ratio scaling/Laser stripe center
维普
万方数据