采用水泡陈化方法处理滚筒钢渣,跟踪检测滚筒钢渣中游离氧化钙(f-CaO)含量.运用高斯过程回归,建立基于高斯过程回归的软测量模型预测滚筒钢渣水泡陈化中f-CaO含量.结果表明,水泡陈化方法处理滚筒钢渣可以有效降低f-CaO含量,A类滚筒钢渣120 d之后f-CaO含量基本维持在3.98%~4.03%,B类滚筒钢渣105 d之后f-CaO含量维持在9.84%~10.03%,满足安全利用的要求;基于高斯过程回归的软测量模型的真实值与预测值数据吻合较好,相对误差为-1.493%~0.748%,有效提高了滚筒钢渣水泡陈化中f-CaO含量预测精度.
Sodden aging method was used to deal with BSSF steel slag, and the content of free calcium (f-CaO) in BSSF steel slag was traced and checked.Soft sensor modeling based on gaussian process regression was established by gaussian process regression to forecast the f-CaO content in steel slag by sodden aging.The results show that f-CaO content in BSSF steel slag is effective reduced by sodden aging method to meet the requirements of the safe use, namely f-CaO content in A-BSSF steel slag is about 3.98%-4.03% after 120 d and f-CaO content in B-BSSF steel slag is about 9.84%-10.03% after 105 d.Soft sensor modeling based on gaussian process regression real value agree well with the forecast value, the relative error is-1.493%-0.748%, which increases the prediction accuracy efficiently of the f-CaO content in steel slag by sodden aging.
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