Innovation in Quality Monitoring and Control Technology in Section Steel Rolling
In the traditional steel rolling process,quality monitoring and control mainly rely on manual experience and some simple measurement tools,which have certain limitations.A method based on machine vision,artificial intelligence,and automation control has been proposed to address this issue.Using machine vision technology to capture image data during the rolling process,and applying artificial intelligence algorithms for deep learning and feature extraction to achieve fast and accurate quality detection and classification.After experimental analysis,this method can effectively monitor and identify various quality defects in real time.The precise implementation of automation control technology has successfully reduced the scrap rate and improved production efficiency,aiming to provide theoretical basis and practical guidance for the innovation of quality monitoring and control technology in section steel rolling.
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