The Application of Data Mining in the Ore Mixing of Sintering Process

Tang, Rui; He, Hong Kun; Li, Jian Wei

doi:10.4028/www.scientific.net/amr.562-564.1549

Cited by 1 publication

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“…The calculation and decision-making of sinter composition are two of the most important links in production [12,13]. The analysis and optimization of sinter composition based on data mining needs to consider all the incoming charges and establish a complete measurement model for blast furnace charge composition [14]. Therefore, the analysis and optimization of sinter composition need to establish a complete calculation model for blast furnace batch composition [15].…”

Section: Introductionmentioning

confidence: 99%

Research on Multi-Decision Sinter Composition Optimization Based on OLS Algorithm

Feng

Wang²,

Zhou³

et al. 2023

Metals

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The adjustment of sintering raw materials has a decisive influence on the composition of blast furnace slag and the properties of sinter. In order to smelt high-quality molten iron in the blast furnace, the composition of the sinter must be properly adjusted so that the composition of the blast furnace slag and the metallurgical properties of the sinter are optimal for the quality of the iron and are conducive to the smooth operation of the blast furnace. In view of the huge difference in the quality and price of sintering raw materials, this paper proposes an automatic sintering ore blending model to quickly configure sintering raw materials according to the requirements of the production line. This method is based on the calculation process of blast furnace charge, combined with the constraints of process composition and cost performance, to establish a multi-decision sintering ore blending model based on the OLS(Ordinary least squares) algorithm to automatically screen from available raw materials and give the sinter that meets the requirements of the furnace. The plan finally makes TFe, CaO, MgO, SiO2, TiO2, Al2O3, P, Mn, Na2O, K2O, Zn, and other components meet the requirements of the production line, and meet the cost performance requirements of the enterprise for sinter. The model can complete the screening and proportioning of 43 kinds of raw materials within 10 s, and its performance can meet the requirements of the production of variable materials. Combined with an example, a comparative analysis experiment is carried out on the accuracy and practicability of the designed sintering and ore blending model. The experimental results show that the accuracy and efficiency of the method proposed in this paper are higher than those of the current ore blending scheme designed by enterprise engineers. This method can provide an effective reference for the stable operation of the sintering production line.

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