基于大数据技术的烧结终点优化控制

Optimization control of sintering end point based on big data technology

针对烧结终点优化控制问题,介绍了近年来关于烧结终点位置判断、烧结终点建模控制这两方面所取得的研究成果。基于大数据技术的兴起和国内外关于大数据技术的成功应用,提出了一种基于大数据技术的烧结终点优化控制策略,并给出了具体的实施方案。依据该实施方案,初步完成了烧结原始料层透气性预报模型的构建以及料层透气性核心操作参数最优控制范围的确定,用于指导现场操作人员改善透气性,保证烧结过程在稳定的原始料层透气性情况下运行生产,避免烧结过程后期因烧结终点偏差过大、对台车等操作参数异常调节而引起整个烧结过程发生更大的波动。

Aiming at the problem of optimal control of sintering end point,the research results obtained in recent years on sintering end point position judgment and sintering end point modeling control were introduced.Based on the rise of big data technology and the successful application of big data technology at home and abroad,a sintering end point optimization control strategy based on big data technology was proposed,and a specific implementation plan was given.According to this implementation plan,the construction of the air permeability prediction model of the sintered raw material layer and the core operating parameters of the layer air permeability were preliminarily completed,which were used to guide the on-site operators to improve the air permeability,ensure the operation and production of the sintering process under the condition of stable air permeability of the original material layer,and a-void greater fluctuations in the whole sintering process due to the excessive deviation of the sintering end point and the abnormal adjustment of operating parameters such as trolley in the late sintering process.