Intelligent maintenance of rail truck tray bolts based on Faster R-CNN
In order to improve the defects of manual maintenance of the tray bolt,which wastes a lot of manpower and has low maintenance operation efficiency,the intelligent maintenance method of railway truck tray bolt based on Faster R-CNN is studied.U-sing machine vision equipment to collect the image of railway freight car core plate bolt,the acquired image is processed by expansion and corrosion,and the interested area of the image is obtained.The region of interest of the image is set as the input of the Faster R-CNN model.The Faster R-CNN model uses the RPN part to generate the bolt status detection region.Through the calculation of the pooling layer and the full connection layer,the bolt status detection results of the railway freight car core plate are output.Aiming at the abnormal state of railway freight car centerplate bolt,automatic tightening machine is used to complete the automatic maintenance of centerplate bolt by automatic clamping and automatic alignment tightening.The experimental results show that the method can ac-curately detect the normal,loose and missing state of the center bolt of railway freight car,automatically repair the abnormal state of the center bolt,and improve the working efficiency of the overhaul of the center bolt of railway car.