文献类型：期刊文献

英文题名：A Knowledge Base System for Operation Optimization: Design and Implementation Practice for the Polyethylene Process

作者：Zhong, Weimin[1];Li, Chaoyuan[1];Peng, Xin[1];Wan, Feng[1];An, Xufeng[1];Tian, Zhou[1]

机构：[1]East China Univ Sci & Technol, Minist Educ, Key Lab Adv Control & Optimizat Chem Proc, Shanghai 200237, Peoples R China

年份：2019

卷号：5

期号：6

起止页码：1041

外文期刊名：ENGINEERING

收录：;EI(收录号：20194507634540);WOS:【SCI-EXPANDED(收录号:WOS:000505075800013)】；

基金：This work was supported by the National Natural Science Foundation of China (61890933, 61803157), the Shanghai Sailing Program (18YF1405200), the Fundamental Research Funds for the Central Universities (222201814041), and the International Postdoctoral Exchange Fellowship Program (20170096).

语种：英文

外文关键词：Ontology; Operation optimization; Knowledge base system; Polyethylene process

摘要：Setting up a knowledge base is a helpful way to optimize the operation of the polyethylene process by improving the performance and the efficiency of reuse of information and knowledge-two critical elements in polyethylene smart manufacturing. In this paper, we propose an overall structure for a knowledge base based on practical customer demand and the mechanism of the polyethylene process. First, an ontology of the polyethylene process constructed using the seven-step method is introduced as a carrier for knowledge representation and sharing. Next, a prediction method is presented for the molecular weight distribution (MWD) based on a back propagation (BP) neural network model, by analyzing the relationships between the operating conditions and the parameters of the MWD. Based on this network, a differential evolution algorithm is introduced to optimize the operating conditions by tuning the MWD. Finally, utilizing a MySQL database and the Java programming language, a knowledge base system for the operation optimization of the polyethylene process based on a browser/server framework is realized. (C) 2019 THE AUTHORS. Published by Elsevier LTD on behalf of Chinese Academy of Engineering and Higher Education Press Limited Company.