文献类型：会议论文

英文题名：Equipment selection knowledge base system for industrial styrene process

作者：Zhong, Weimin[1];Liu, Shuming[1];Wan, Feng[1];Li, Zhi[1]

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

会议论文集：12th International Symposium on Process Systems Engineering (PSE) / 25th European Symposium on Computer Aided Process Engineering (ESCAPE)

会议日期：MAY 31-JUN 04, 2015

会议地点：Copenhagen, DENMARK

语种：英文

外文关键词：Equipment selection; Ontology technology; Knowledge base system; Styrene process

摘要：Equipment selection for industrial process usually requires the extensive participation of industrial experts and technologists, which causes a serious waste of resources. This work presents an equipment selection knowledge base systemfor industrial styrene process (S-ESKBS) based on the ontology technology. This structure includes a low-level knowledge base and a top-level interactive application. As the core part of the S-ESKBS, the low-level knowledge base consists of the equipment selection ontology library, equipment selection rule set and Pellet inference engine. The top-level interactive application is implemented using S-ESKBS, including the parsing storage layer, inference query layer and client application layer. Case studies for the industrial styrene process equipment selection of an analytical column and an alkylation reactor are demonstrated to show the characteristics and implementability of the S-ESKBS. (C) 2017 The Chemical Industry and Engineering Society of China, and Chemical Industry Press. All rights reserved.