Research on the Detection Method of Loose Roof Bolts of Low-quality Rail Vehicles
In the detection of loose roof bolts of rail vehicles,due to the high-voltage power supply line on the upper frame of the train in the maintenance shed,the components for scanning visual inspection of the loose bolts of the roof devices need to be erected in a higher position,so that the number of pixels of the bolt image collected by the camera is limited,and the quality of the bolt image is low,which brings difficult problems to the judgment of loose bolts.Therefore,this paper proposes a method for detecting loose roof bolts of low-quality rail vehicles,which realizes the intelligent detection of loose bolts in the roof area.During the inspection,the roof image of the rail vehicle collected by the line scan camera is first stitched,and the installation area of the roof bolt is located.Secondly,the area is subdivided into several sub-areas such as air outlets,cover plates and fans,and the target detection method based on deep learning is introduced to determine the bolt position in the partition.Then,the equidistant radius circle is drawn by the coordinates of the center point of the bolt after positioning,the anti-loosening line on the bolt is extracted,and the skeleton extraction is carried out and fitted to the straight line.Finally,whether the bolt is loose is judged by calculating the angle between the two straight lines.The experimental results show that the maximum relative error of the loose rotation angle of the roof bolt of the rail vehicle is 5.8％,and the detection rate of the loose bolt reaches more than 80％,which has certain engineering practical value.
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