Compensation regulation method and system for numerical control machine tool based on industrial vision driving

By constructing an active contour model and applying traction force to the unlocked nodes using locked nodes, the problem of low machining accuracy of CNC machine tools in complex environments is solved, achieving high precision and stable machining results.

CN121386603BActive Publication Date: 2026-04-21东莞金源五金机械有限公司
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Patent Information

Application Number
CN202511911239.9
Authority / Receiving Office
CN · China
Patent Type
Patents(China)
Current Assignee / Owner
Filing Date
2025-12-17
Publication Date
2026-04-21
Estimated Expiration
2045-12-17

AI Technical Summary

Technical Problem

CNC machine tools have low machining accuracy in complex machining environments. They are affected by environmental interference such as cutting fluid splashing and metal reflection, making it impossible to accurately detect the workpiece contour and perform error compensation and control.

Method used

By acquiring real-time images and position coordinates, an active contour model is constructed. The locked nodes are used to apply traction force to the unlocked nodes, and the model is iteratively evolved to extract the target contour. The spatial compensation component is calculated based on the image deviation to adjust the zero-point offset of the workpiece and overcome environmental noise interference.

Benefits of technology

It achieves high-precision machining and stability in complex environments, effectively overcomes noise interference such as cutting fluid splashing and reflection, and improves the machining accuracy and stability of CNC machine tools.

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Abstract

This application relates to the field of vision control technology, and in particular to a method and system for compensation and control of CNC machine tools based on industrial vision. The method includes: acquiring real-time images and the position coordinates of the CNC machine tool during the machining process; parsing the current machining instructions to reconstruct the theoretical trajectory, and then constructing an initial contour of an active contour model; performing multiple iterative evolutions on the initial contour using the active contour model until a target contour is obtained; calculating spatial compensation components based on the image deviation of the target contour relative to the initial contour; and adjusting the workpiece zero-point offset of the CNC machine tool using the spatial compensation components. The technical solution of this application can effectively improve the machining accuracy and stability of CNC machine tools in complex machining environments.
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