Ladle Refractory Safety Monitoring System Based on Support Vector Regression
نویسندگان
چکیده
Ladle refractories were subject to repeated chemical erosion and physical scouring by various hot fluids such as steel slag, liquid steel, argon oxygen. Firstly, the heat transfer model of ladle wall was established, refractory under different corrosion conditions analyzed. The relationship between residual thickness lining temperature field outer surface established. Secondly, a set infrared thermal imaging monitoring system used measure temperature, especially slag line temperature. changes process Finally, based on support vector regression (SVR) model, prediction designed. Combined with steelmaking production conditions, predicted. experiment results showed that accuracy reaches 92%, which met requirements plant for safety in green intelligent production.
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ژورنال
عنوان ژورنال: Advances in transdisciplinary engineering
سال: 2022
ISSN: ['2352-751X', '2352-7528']
DOI: https://doi.org/10.3233/atde220430