文献类型：期刊文献

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] Key Laboratory of Advanced Control and Optimization for Chemical Processed of Ministry of Education, East China University of Science and Technology, Shanghai, 200237, China

年份：2018

卷号：26

期号：8

起止页码：1707

外文期刊名：Chinese Journal of Chemical Engineering

收录：EI(收录号：20180504696802)

语种：英文

外文关键词：Knowledge based systems - Ontology

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 system for 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. ? 2017 Elsevier B.V.