Development and Application of a Sintering Ore Blending Optimization System Based on the Local Linear Iterative Method
XU Yingjie
WANG Yanjiang
SHE Xuefeng
HUANG Weili
LI Xiaohai
GE Zhibin
XUE Qingguo
Abstract：In the process of iron ore sintering and blending optimization in steel production,fluctuations in iron ore supply and prices result in a wide variety of raw materials and complex blending ratios.This complexity transforms the optimization problem from linear to nonlinear.Traditional linear programming methods struggle to effectively handle these nonlinear issues,leading to low computational efficiency and difficulty in obtaining global optimal solutions.To address these challenges,this study proposes a solution based on a locally linear iterative method.By introducing slack variables and numerical differentiation,nonlinear constraints are transformed into linear forms,and iterative approximations gradually converge to the optimal solution,significantly improving computational efficiency and stability.Focusing on minimizing sintering production costs,the system integrates technologies such as MATLAB and MySQL to construct a sintering ore blending optimization model.Practical applications demonstrate that the model can generate global optimal solutions within 10 seconds while satisfying complex constraints,reducing the production cost per ton of sintered ore by 5.8 Yuan.This approach delivers substantial economic benefits to enterprises.
Keywords：sinter ore blendingnonlinear programmingmathematical methodslocal linear iterative method
Publication Date：2025-04-25
Online Publishing Date：2026-05-22(First online date of this platform, not the publication date of the document)
Pages：6( 31-36 )