Wire harness cutting path correction method

By improving the SegFormer-B2 model to output marker points, contours, and orientation field information in parallel, the problem of unstable recognition caused by reflection, contamination, and deformation in wire harness cutting was solved, achieving high-precision and high-reliability path correction and improving cutting consistency and production efficiency.

CN122415460APending Publication Date: 2026-07-17
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Patent Information

Application Number
CN202610413465.2
Authority / Receiving Office
CN · China
Patent Type
Applications(China)
Filing Date
2026-03-31
Publication Date
2026-07-17

AI Technical Summary

Technical Problem

Traditional wire harness cutting methods suffer from unstable marker point recognition and broken contour extraction in complex industrial environments due to reflection, pollution, and deformation, making it difficult to guarantee high-precision and robust path positioning.

Method used

An improved SegFormer-B2 deep learning model is adopted, which expands three independent convolutional output heads in parallel to simultaneously output marker point heatmaps, line bundle contour edge maps and pixel orientation fields. The actual path is reconstructed by combining geometric priors, and a composite loss function is constructed for adaptive repair.

Benefits of technology

It significantly improves the accuracy and reliability of wire harness cutting paths, achieving higher consistency and reliable automated cutting, thereby improving production quality and efficiency.

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Abstract

The embodiment of the application provides a wire harness cutting path correction method, which comprises the following steps: S1: collecting a wire harness cutting area image; S2: inputting the image into an improved SegFormer-B2 deep learning model, and the improvement measures comprise: extending three independent convolution output heads in parallel at the end of the original decoder, which are used for synchronous inference and output three target feature maps: a mark point heat map, a wire harness contour edge map and a pixel direction field; S3: fusing the mark point heat map and the wire harness contour edge map, and using the geometric prior provided by the pixel direction field to reconstruct the actual position path of the wire harness; S4: comparing the actual position path with a preset cutting path, calculating the path deviation, and generating corresponding motion control instructions to drive the cutting equipment to correct and cut. The method effectively overcomes the recognition instability problem caused by a complex working scene, significantly improves the precision of wire harness cutting, and improves the production quality and efficiency.
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