【作者】 孙帆； 钱锋；

【Author】 SUN Fan,QIAN Feng (Key Laboratory of Advanced Control and Optimization for Chemical Processes, Ministry of Education, East China University of Science and Technology, Shanghai, 200237, China)

【机构】 化工过程先进控制和优化技术教育部重点实验室华东理工大学；

【摘要】 环氧乙烷浓度是乙二醇生产过程中的一个重要指标,其浓度大小直接影响到后续水合反应生成乙二醇的过程。本文分析了影响环氧乙烷浓度的因子,并对这些因子进行了主成分分析,得到一组新的输入因子,作为RBF网络的新的输入,有效降低了输入变量的维数,并利用粒子群算法来优化神经网络参数,建立了环氧乙烷浓度的软测量模型,获得了较好的拟合和预测效果。更多还原

【Abstract】 Ethylene oxide concentration is an important index in ethylene glycol production. In this paper, we analyze the influencing factors of ethylene oxide concentration and the principal component analysis was used to dealing with these factors. When the treated factors were used as the new inputs of the RBF network, the dimension of input variable was decreased. Then the PSO was used to optimize the parameters of soft-sensing measurement model and achieve good results.更多还原