论文部分内容阅读
针对钢铁企业氧气系统的供应与需求存在的不平衡问题,提出一种钢铁企业氧气系统两阶段实时平衡调整方法,用于实时在线确定氧气系统的调整方案。第一阶段采用基于高斯过程分类器确定未来时刻某一点是否为调整点。第二阶段采用基于改进细菌觅食算法的模糊T-S模型确定具体的调整量:使用FCM算法对输入输出空间划分并提取T-S模型的前件隶属函数参数,同时利用改进的细菌觅食算法优化T-S模型前件隶属度函数的参数。对国内某著名钢铁企业氧气系统数据实验表明本文所提方法能够根据氧气系统工况变化准确计算调整设备的调整值。
Aiming at the imbalance between supply and demand of oxygen system in iron and steel enterprises, a two-stage real-time balance adjustment method of oxygen system in steel enterprises is proposed to determine the real-time online adjustment scheme of oxygen system. The first stage uses a Gaussian process classifier to determine if a point in the future is a tuning point. In the second phase, the fuzzy TS model based on improved bacteria foraging algorithm is used to determine the specific adjustment: the input-output space is partitioned by using FCM algorithm and the membership function parameters of the TS model are extracted, and the TS model is optimized by the improved bacterial foraging algorithm Parameters of the membership function of the former. Experiments on the oxygen system data of a famous iron and steel enterprise in China show that the method proposed in this paper can accurately calculate and adjust the adjustment value of the equipment according to the change of the working condition of the oxygen system.