作　　者： ; ; ;

机构地区： 湖南大学电气与信息工程学院

出　　处： 《化工学报》 2006年第1期203-209,共7页

摘　　要： 为了解决铜精炼过程中高温铜液温度的测量难题,确保铜精炼过程的阳极铜产品质量,基于铜精炼过程中不同阶段的热工机理,分别建立了保温过程、氧化过程以及还原过程的高温铜液温度的机理软测量模型,并采用数据预处理、黄金分割法搜索区间及其函数链神经网络校正等技术对其进行了算法设计以及编程实现.实际应用结果表明,铜精炼过程铜液温度软测量可以反映铜精炼过程铜液温度的真实变化,有助于实现铜精炼过程铜液温度软控制以及提高铜精炼过程的生产效率和生产质量. In order to solve measurement problem of copper liquid temperature so that qualified anode copper in the copper refining process can be obtained, some soft sensing models of copper liquid temperature in the copper refining process including heat preservation, oxygenation and deoxidization were established based on the mechanism of heat transfer in the copper refining process, and some measures such as the pretreatment of the sampled data, the golden section method and parameter adjustment by using function link NN of the soft sensing model were introduced in the algorithm design of soft-sensing of copper liquid temperature. The application results revealed that the soft-sensing values of copper liquid temperature can describe real change of copper liquid temperature in the copper refining process. The soft sensing model was useful for soft control of copper liquid temperature and for enhancing production efficiency and quality.

关 键 词： 铜精炼炉 软测量模型 函数链神经网络 铜液温度

领　　域： [冶金工程] [自动化与计算机技术] [自动化与计算机技术]