A real-time prediction method for the carbon content and temperature of molten pool in converter steelmaking

Abstract

The invention belongs to the field of iron and steel metallurgy, and in particular relates to a whole-process real-time prediction method for the carbon content and temperature of a molten pool in converter steelmaking. data; fit the obtained data and raw material data, convert them into functional data, select both response variables and covariates to be functional data models for training, and obtain a functional melt pool temperature prediction model and a functional melt pool carbon content prediction The real-time data of blowing is passed into the functional molten pool temperature prediction model and the functional molten pool carbon content prediction model to obtain the predicted value. The invention constructs a model that can be used for real-time prediction of the carbon content and temperature of the molten pool in the whole process of smelting through the method of functional data analysis, fully excavates the inherent laws of raw materials and smelting process data, and has good adaptability and accuracy to the actual production process. It can replace the traditional carbon content and temperature prediction methods.

Description

technical field [0001] The invention belongs to the field of iron and steel metallurgy, and in particular relates to a full-process real-time prediction model of carbon content and temperature in a melting pool of converter steelmaking. Background technique [0002] Converter steelmaking is one of the important links in the iron and steel production process. Its purpose is to smelt molten iron with a certain composition and temperature through continuous oxygen blowing through an oxygen lance and adding auxiliary materials into a steel whose final temperature and chemical composition meet the requirements of the steel type. molten steel. Therefore, providing a method that can predict the carbon content and temperature of the molten pool in real time during the blowing process can reflect the reaction status in the molten pool in real time, assist in intelligent control of oxygen blowing, feeding, etc., and provide a "one-button" intelligent refining process. Steel provides ...

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Problems solved by technology

[0006] In order to overcome the fact that the prediction method based on the reaction mechanism in the prior art has too many assumptions, poor adaptability to actual production, and poor prediction accuracy, the data-driven prediction method cannot provide real-time prediction of the whole process, and the reaction process is still in a "black box state". ", the application cost of sub-gun detection system is too high, the present invention provides a real-time prediction model of carbon content and temperature in the melting pool of converter steelmaking, realizes real-time and accurate prediction of carbon content and temperature in the whole process of smelting, and outputs carbon content and the real-time change trend of temperature to guide converter steelmaking production

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