Application of Intelligent Ore Blending Software in Sintering Ore Blending and Ironmaking
GUO Huiliang
LI Zhi
LIU Jiachen
JI Zhaoyi
DUAN Lihui
Abstract：This article focuses on the application of intelligent ore blending software in sintering ore blending and ironmaking.A certain ore blending software is selected,and 12 types of iron containing raw materials from a certain steel enterprise are tested from three aspects:specific resource optimization,market resource solving,and production boundary breakthrough.At the same time,the accuracy and stability of the software are verified.The experimental results show that lifting the restrictions on mineral ratio,increasing the market resource pool of mineral types,and appropriately breaking through flexible production boundaries can effectively reduce the cost of molten iron.The software ore blending scheme is feasible and stable,and the sintered ore performance meets the standard.The total deviation between the predicted value and the actual value is only 0.655%.This software integrates linear programming,genetic algorithm,and machine learning algorithms to achieve ore blending optimization under multiple constraints.
Keywords：mineral blending softwaresinteroptimize allocationbias
Publication Date：2025-08-20
Online Publishing Date：2026-05-22(First online date of this platform, not the publication date of the document)
Pages：4( 57-60 )