Method for combining paths and laser processing planning based on machine vision

By using a machine vision-based combined path and laser processing planning method, workpiece images are acquired in real time for dynamic path and parameter adjustment, solving the problems of low precision and efficiency in traditional laser processing and achieving efficient and stable laser processing results.

CN121028671AActive Publication Date: 2025-11-28NINGDE SKEQI INTELLIGENT EQUIP CO LTD
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Patent Information

Application Number
CN202511491983.8
Authority / Receiving Office
CN · China
Patent Type
Applications(China)
Current Assignee / Owner
Filing Date
2025-10-20
Publication Date
2025-11-28
Estimated Expiration
2045-10-20

AI Technical Summary

Technical Problem

Traditional laser processing path control methods rely on preset paths and cannot respond to changes in the actual working conditions of the workpiece in real time, resulting in low processing accuracy, low efficiency and unstable quality, especially in the processing of complex-shaped workpieces.

Method used

A machine vision-based combined path and laser processing planning method is adopted. By acquiring workpiece images in real time, geometric parameters are measured and materials are identified. The processing path and parameters are dynamically adjusted, including the synchronous adjustment of laser power and scanning speed, to generate the optimal processing path and synchronous processing setting table.

Benefits of technology

This technology improves the precision and efficiency of laser processing, ensures effective coordination between path planning and parameters, and avoids the inefficiency and quality fluctuations caused by manual adjustments in traditional technologies.

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Abstract

The invention relates to the technical field of path control, in particular to a combined path and laser processing planning method based on machine vision, which comprises the following steps: acquiring an image by an industrial camera to extract contour measurement parameters to identify defective materials, setting path start-stop optimization connection smooth obstacle avoidance based on a feature table, and detecting a dynamic adjustment range of a hot area. And according to the adaptive group setting threshold evaluation capability, the delay prediction adjustment power speed is calibrated, an instruction set is called to compensate, predict and correct error dynamic matching, and an optimal processing path and a synchronous processing setting table are output. According to the method, the workpiece image is obtained in real time, the machining features are analyzed, the machining precision and efficiency are improved, fine control in the machining process is achieved, effective cooperation of path planning and machining parameters is ensured, the problem of mismatching of path planning is avoided, the response precision and stability in the machining process are improved, and the machining precision and efficiency are improved. The processing quality and time management are remarkably improved, and low efficiency and quality fluctuation caused by manual adjustment in the prior art are avoided.
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