聚酯工业产品质量的在线软测量  

On-line Soft-sensor of Industrial Poly Production Quality

作　　者：陈兰星[1] 王晶[1] 

机构地区：[1]北京化工大学自动化研究所,北京100029

出　　处：《控制工程》2005年第S2期223-225,共3页Control Engineering of China

基　　金：北京市教委资助项目(XK100100435)北京化工大学青年基金资助项目(QN0416)

摘　　要：针对聚酯工业中采用软测量对难以或无法测量的质量指标变量进行估算的问题,以聚酯生产过程中的粘度为例,采用主元分析方法结合SPE和T2控制限对现场测量数据进行了过失误差剔除等处理,利用RBF网络建立软测量模型,并用VC++编写了相应的软件包。鉴于系统运行的实时性,使用PCA方法实现了输入数据的实时监测,并对故障点进行相应处理,以保证模型估算结果的准确度;To solve the problem of electing the soft-sensor theory to compute the variable of quality criterion in the industry of PET, which is illustrated by the viscosity in the PET industry process,the technique of principal component analysis combining SPE and T2 control limits is used to detect gross error. The PET soft-sensor based on RBF neural network is introduced, and by using the VC + + language, a soft-sensing software package is developed. Considering the real time feature in the process of the system's operation, the on-line inspection of input data is realized by the PCA theory. The bad data are processed properly to make sure that the calculating result of the model is reliable; the on-line correction of the principal components and the network output including the network parameters of the model is implemented.

关 键 词：聚酯粘度 软测量 在线校正 数据监测 软件包 

分 类 号：TP274.4[自动化与计算机技术—检测技术与自动化装置]