Hot continuous rolling strip steel convexity prediction method based on gradient boosting tree model

Abstract

The invention discloses a hot continuous rolling strip steel convexity prediction method based on a gradient boosting tree model. The method comprises the steps: selecting technological parameters, equipment parameters, strip steel parameters and the actual strip steel convexity of related hot rolling strip steel as input and output of a hot continuous rolling strip steel convexity prediction model; collecting related original modeling data at a hot-rolled strip steel production site, preprocessing the data, and obtaining final modeling data by removing missing values and abnormal values and balancing the data; dividing the final modeling data obtained through preprocessing into a training data set and a test data set according to a certain proportion; based on the training data set, establishing a hot continuous rolling strip steel convexity prediction model based on a gradient boosting tree algorithm through cross validation; determining optimal parameters of the hot continuous rolling strip steel convexity prediction model by adopting a coordinate descent method; and evaluating the performance of the established hot continuous rolling strip steel convexity prediction model basedon the test data set. According to the method, the convexity of the hot continuous rolling strip steel can be accurately predicted, and the problem of large convexity deviation of the hot continuousrolling strip steel can be solved.

Description

technical field [0001] The invention belongs to the technical field of engineering and artificial intelligence, and relates to a method for predicting the crown of hot continuous rolling strip steel based on a gradient lifting tree model. Background technique [0002] With the rapid development of the manufacturing industry, the demand for high-quality strip steel is also increasing. The quality indicators of hot-rolled strip include not only mechanical properties, but also geometric appearance parameters. As one of the very important geometric appearance parameters of strip steel, convexity is used to evaluate the cross-sectional shape of strip steel. As a main raw material of many industrial products, the extreme deviation of the crown of hot-rolled strip will seriously affect the quality of industrial products. Therefore, it has always been the focus of research in this field to clarify the change rule of the crown of hot-rolled strip. Strip crown is affected by factors...

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Problems solved by technology

Although the calculation model based on the traditional method has been widely accepted and applied, it is difficult to further improve the control accuracy of the strip crown due to the complexity of the hot rolling environment and the limitations of the traditional method itself (simplification of conditions and assumptions)

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