Method and device for processing key smelting data of inclusions in steel and storage medium

Abstract

The invention relates to a method and device for processing key smelting data of inclusions in steel and a storage medium. The method comprises the steps that steelmaking process data, inclusion detection result data and first target smelting data of a target steel grade are collected; if the second target smelting data meets the normality test, extracting a data concentration area, determining the step length of the data in the concentration area, and grouping the target data in the concentration area according to the step length; after fitting is carried out on the group number of each smelting data and preset variance analysis verification is carried out on the inclusion detection result, inclusion detection result data, target smelting data and the group number which meet verification are imported into preset data processing software to form visual data; according to the scheme, the numerical value area range where the molten steel impurities exceed the preset value is extracted according to the visual data, the steelmaking process is optimized, the factor which has the largest influence on the cleanliness of the molten steel can be found in the massive smelting data, then the existing technology is quantitatively optimized in a targeted mode, and the purity of the steelmaking process is improved.

Description

technical field [0001] The application relates to a method, device and storage medium for processing key smelting data of inclusions in steel, and belongs to the technical field of data processing in the steelmaking process of steel furnaces. Background technique [0002] Inclusions formed by deoxidation alloying in the steelmaking process, erosion of refractory materials, slag inclusion, secondary oxidation of molten steel, etc. will affect the cleanliness of molten steel, and their quantity, size, type and distribution have a great impact on the quality of steel products. All will have varying degrees of impact, therefore, effective control of inclusions in steel is the key to improving the quality of steel products. [0003] The control of inclusions in steel has always been a major problem in the metallurgical industry. At present, the removal methods of steel inclusions include ladle bottom blowing gas stirring, ladle electromagnetic stirring, tundish air curtain retain...

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Problems solved by technology

[0005] This application provides a method, device and storage medium for processing key smelting data of inclusions in steel to solve the problem in the prior art that "the key factor that has the greatest impact on the cleanliness of molten steel cannot be found in these massive smelting data, and then has Targeted quantitative optimization of existing processes"

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