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

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