Calculating lime input quantity by alkalinity deviation estimation based on support-vector-machines
基于支持向量机碱度偏差估计的石灰加入量模型

A model for estimating the alkalinity deviation and a new method for calculating the lime input quantity are proposed. The model employs the support-vector-machines to forecast the deviation between the slag alkalinity and the input alkalinity. The alkalinity parameter in traditional formula is amended. Furthermore, the improved model of the lime input quantity takes into account the impact to alkalinity from other auxiliary materials. Application of this model to a 150t converter of a steel plant shows that the support vector model for estimating the alkalinity deviation has high forecast accuracy and the calculated input quantity of lime meets the requirements in practical production.