An alloy chain plate welding intelligent tracking method, system, device and medium

By combining point cloud data with image frame data and intelligent path planning, an adaptive welding path is generated, which solves the problem of low welding trajectory matching in alloy chain plate repair and achieves efficient and reliable repair results.

CN122289298APending Publication Date: 2026-06-26HANGZHOU QIRUI TOOLS CO LTD
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Patent Information

Application Number
CN202610280382.0
Authority / Receiving Office
CN · China
Patent Type
Applications(China)
Current Assignee / Owner
Filing Date
2026-03-09
Publication Date
2026-06-26

AI Technical Summary

Technical Problem

Existing alloy chain plate repair methods rely on manual welding, which results in poor matching between the welding trajectory and the damaged area, leading to material waste and unstable repair quality.

Method used

An asynchronous acquisition mechanism of point cloud data and image frame data is adopted. The point cloud data is converted to the base coordinate system of the welding equipment, edge detection and B-spline curve fitting are used to generate the contour baseline of the area to be repaired. The welding path is generated by combining crack parameters, and crack arrest welding, deformation prediction and dynamic compensation are implemented to achieve adaptive wear area complex morphology and crack distribution characteristics.

Benefits of technology

It improves the material utilization rate and repair quality stability of alloy chain plate repair, reduces the reliance on manual experience, ensures a high degree of matching between the welding trajectory and the damaged area, and enhances the efficiency and reliability of repair.

✦ Generated by Eureka AI based on patent content.

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Abstract

This application relates to an intelligent welding tracking method, system, device, and medium for alloy chain plates, belonging to the field of intelligent welding technology. The method includes: acquiring point cloud data and image frame data of the area to be repaired; converting the point cloud data to a base coordinate system to obtain clean point cloud data, and identifying all points below the unworn surface with a difference exceeding a set height threshold to form the point cloud contour of the worn area; performing edge detection on the image frame data to obtain edge pixels containing the wear boundary and crack lines, and back-projecting them to the base coordinate system to generate a projection point set; fusing the projection point set and the point cloud contour according to a fusion distance threshold, and applying B-spline curve fitting to generate the contour baseline of the area to be repaired; selecting suspected crack edge segments from the edge pixels and mapping them back to the contour baseline while recording crack parameters; generating a welding path based on the contour baseline of the area to be repaired and the crack parameters, thereby achieving automatic welding and improving the stability of the alloy chain plate repair quality.
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