A multi-modal information fusion-based method for repairing cracks in train hooks

Abstract

The current conventional train hook crack repair technology is mainly used to remanufacture and repair worn hooks by laser cladding repair technology, which leads to poor crack identification due to the lack of simulation and analysis of crack data. In this regard, a multimodal information fusion-based crack repair method for train hooks is proposed. The attention mechanism based on the attributes of multimodal information fusion is used to fuse the multi-scale image alignment method and calculate the crack image region features to realize the recognition of hook cracks. Based on this, numerical simulations of train hook crack repair are performed, and the repair process is optimized. In the experiments, the proposed method is verified for the crack recognition effect. The experimental results show that the proposed method has a high recognition accuracy and ideal crack recognition effect when the proposed method is used to recognize train hook images.