Roller grinding surface cleaning and machine vision detection system

Abstract

The invention discloses a roller grinding surface cleaning and machine vision detection system. The roller grinding surface cleaning and machine vision detection system comprises a detection bracket,a roller cleaning system, an illumination device, an image acquisition system and an image processing and analyzing system, wherein the detection bracket can be mounted on a roller positioning devicecapable of positioning a roller in a rotary manner; the roller cleaning system, the illumination device and the image acquisition system are mounted on the detection bracket respectively; the roller cleaning system can be used for carrying out cleaning treatment on the surface of the roller; the illumination device can be used for projecting linear light to an appointed position on the surface ofthe roller subjected to the cleaning treatment; the image acquisition system can be used for carrying out imaging on the appointed position on the surface of the roller illuminated through the illumination device and messaging to the image processing and analyzing system; the image processing and analyzing system can be used for carrying out analysis treatment on an image and outputting a detection result. According to the roller grinding surface cleaning and machine vision detection system, automatic detection of surface defects of the roller is realized, the detection efficiency and the accuracy are improved, and conditions including missing detection and false detection of defects and the like are reduced.

Description

technical field [0001] The invention relates to a roll grinding auxiliary equipment, in particular to a roll grinding surface cleaning and machine vision detection system. Background technique [0002] The surface quality of roll grinding is an important factor affecting the quality and stability of rolled products and the continuity of rolling process. The time and quality of roll grinding are important factors affecting the efficiency of rolling production line and process stability. At present, the occasional defects such as short scratches, micro-vibration lines, spots, reticulation, and spiral patterns on the surface of the roll grinding are the key factors affecting the quality of the roll grinding. The main gap in the level of grinding lies. [0003] Since the automatic defect detection methods such as eddy current flaw detection and ultrasonic flaw detection commonly used in the roll grinding process cannot effectively detect the above-mentioned surface defects, the...

AI Technical Summary

Problems solved by technology

[0003] Since the automatic defect detection methods such as eddy current flaw detection and ultrasonic flaw detection commonly used in the roll grinding process cannot effectively detect the above-mentioned surface defects, the artificial naked eye detection method is mainly used for this type of defects, that is, through experienced grinding masters. Observe and judge the surface of the ground roll under specific angles and suitable lighting conditions

This manual detection method has high requirements for experience, strong detection subjectivity, poor detection efficiency and accuracy, high missed detection rate, and can only achieve qualitative discrimination without quantitative evaluation.

And due to the subjectivity of naked eye observation, it is impossible to formulate a unified inspection standard for the detection of the above defects, and there are different inspection results due to different inspection personnel and scenarios.

And even the weak defects on the surface of the roll may have a significant impact on the quality of the rolled product, which further increases the difficulty of detection and increases the missed detection rate

Since the roll grinding process takes a long time and the surface quality requirements of rolled products are usually high, missed detection of roll grinding surface defects may lead to quality degradation or even scrapping of rolled products, and defective rolls returning to the grinding room for re-grinding will greatly reduce production Therefore, improving the efficiency and accuracy of roll grinding defect detection, reducing missed detection and false detection has an important impact on improving the stability and efficiency of roll grinding quality

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