ISIJ International
Online ISSN : 1347-5460
Print ISSN : 0915-1559
ISSN-L : 0915-1559
Regular Article
Detecting Height of Liquid Level with Computer Vision for Twin-roll Strip Casting
Dong ChenYang TangWeixue DouZhenlei Li Guo Yuan
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2023 Volume 63 Issue 7 Pages 1226-1232

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Abstract

In twin-roll strip casting process, the height of the liquid level (LH) directly affects the casting stability and quality of strip. High accuracy and quick LH detection are essential for LH stability control. In this paper, an LH detection technique based on computer vision was introduced, involving an easy calibration method and an efficient image processing method. It only requires the cameras to observe three different width whiteboards for camera calibration. To realize the highly precise and quick LH detection, a pseudo boundary caused by complicated casting process was emphasized and corresponding solutions were proposed. The application results show that the proposed method could achieve high precise and quick processing of LH detection, and the detection deviation can be controlled within ±2 mm of the target LH. Based on real-time LH detection, it could realize stable casting and minimize thickness deviation affected by LH fluctuation.

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© 2023 The Iron and Steel Institute of Japan.

This is an open access article under the terms of the Creative Commons Attribution-NonCommercial-NoDerivs license.
https://creativecommons.org/licenses/by-nc-nd/4.0/
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