Deep learning-based contact network suspension component fault detection method and device

The invention provides an overhead line system suspension component fault detection method and device based on deep learning, and the method comprises the steps: carrying out the shooting of a preset time period above a train at the same time according to a dynamic visual receptor and a camera which are disposed on the train, and obtaining at least two motion image frames and a plurality of dynamic visual images; in the moving image frame, determining a first area where the overhead line system suspension component is located; screening the dynamic visual image according to the first area to obtain a target dynamic visual image; inputting the target dynamic visual image and the moving image frame into the classification network model to obtain the type of the overhead line system suspension part; and determining a fault detection result of the overhead line system suspension component according to the type of the overhead line system suspension component and the moving image frame. According to the method, th