CAJ | 학술논문

提出碱度偏差估计模型,进而提出一种转炉炼钢石灰加入量计算方法.首先,使用支持向量机建立碱度偏差估计模型,预报输入碱度与炉渣碱度之间的偏差;然后,利用碱度偏差估计模型预报的偏差值修正传统公式中的碱度参数,再消除白云石加入量对石灰加入量的影响,得到改进的石灰加入量模型.应用该方法对一座150t转炉的实际生产数据进行计算,结果显示对碱度偏差的预报有着较高的精度,由此计算的石灰加入量可以满足实际生产的要求.
제출감도편차고계모형,진이제출일충전로련강석회가입량계산방법.수선,사용지지향량궤건립감도편차고계모형,예보수입감도여로사감도지간적편차;연후,이용감도편차고계모형예보적편차치수정전통공식중적감도삼수,재소제백운석가입량대석회가입량적영향,득도개진적석회가입량모형.응용해방법대일좌150t전로적실제생산수거진행계산,결과현시대감도편차적예보유착교고적정도,유차계산적석회가입량가이만족실제생산적요구.
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.