Grinding wheel wear detection method and system based on machine vision

Abstract

The invention relates to a grinding wheel abrasion detection method and system based on machine vision. The method comprises the following steps of: calibrating the internal and external parameters of a camera; placing a workpiece in a view range of a camera, and shooting a workpiece image; converting the acquired image into a grayscale image; converting the image into a binary image by using an Otsu threshold segmentation method; removing noise in the image by using median filtering; carrying out sub-pixel edge detection by using a zernike moment; determining a region of interest; performing curve fitting on the detected edge; and determining the abrasion condition of the grinding wheel. According to the invention, the method can quickly and efficiently detect the abrasion condition of the grinding wheel, judges whether the grinding wheel needs to be trimmed or not, and improves the grinding machining quality.

Description

technical field [0001] The invention belongs to the technical field of intelligent detection of grinding wheel wear, and in particular relates to a method and system for detecting grinding wheel wear based on machine vision. Background technique [0002] Grinding can obtain high machining accuracy and small surface roughness. Grinding is mostly used to process high-precision workpieces in the machinery manufacturing industry. Grinding is the use of high-speed rotating grinding wheels to cut workpieces. Among them, the grinding wheel is a consumable. With the continuous processing, the sand grains of the grinding wheel will continue to fall off, which will cause the shape of the grinding wheel to change, thereby reducing the processing accuracy and surface quality of the workpiece, and affecting the processing efficiency. Therefore, detecting the wear of the grinding wheel has important engineering significance for improving the processing quality of parts. [0003] At pre...

AI Technical Summary

Problems solved by technology

[0004] Aiming at the problem that the wear and tear of the grinding wheel in the grinding process will cause shape changes and reduce the machining accuracy and quality of the workpiece, the invention provides a machine vision-based grinding wheel wear detection method and system, which does not need to disassemble the grinding wheel. The curve at the root of the processed workpiece can judge the wear of the grinding wheel and prompt whether the grinding wheel needs to be trimmed

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