有色金属科学与工程2016，Vol.7Issue(5)：37-41,5.DOI:10.13264/j.cnki.ysjskx.2016.05.007
基于两温两密度法的FeO-Fe2O3-SiO2三元渣系成分软测量模型
A composition soft-sensing model of FeO-Fe 2O3-SiO2 ternary slag system based on two-temperature two-density method
摘要
Abstract
Based on the characteristics of composition strong coupling with physical properties of smelting slag, the temperature and density of slag system were selected as the secondary variables of soft sensor. By applying the regression algorithm with Taylor series three times expansion, a composition soft-sensing model of the ternary slag system was established based on two-temperature two-density method. The experimental results of slag system of FeO-Fe2O3-SiO2 show that regression calculation enjoys characteristics of high accuracy. The average relative error (absolute value) of density is only 0.412%. Multi-group soft measurements achieve superior predictive hit rate, which shows that the model is suitable for compositions of the slag system with wide range. Analysis of the density-temperature characteristic curves shows that the model reasonably takes account of the inherent law of density, composition and temperature of the ternary slag system. The research serves as a nice soft-sensing model for predicting compositions of the ternary slag system.关键词
泰勒级数/回归算法/FeO-Fe2O3-SiO2渣系/软测量模型Key words
Taylorˊs series/regression algorithm/slag system of FeO-Fe2O3-SiO2/soft-sensing model分类
矿业与冶金引用本文复制引用
李明周,朱伟伟,黄金堤,童长仁,张文海,汪金良..基于两温两密度法的FeO-Fe2O3-SiO2三元渣系成分软测量模型[J].有色金属科学与工程,2016,7(5):37-41,5.基金项目
国家科技支撑计划项目(2013BAB03B05)；国家自然科学基金资助项目（51564048）；江西理工大学自然科学基金 （2013BAB03B05）
