Equipment selection knowledge base system for industrial styrene process

doi:10.1016/j.cjche.2017.10.009

Chin.J.Chem.Eng. ›› 2018, Vol. 26 ›› Issue (8): 1707-1712.DOI: 10.1016/j.cjche.2017.10.009

• Selected Papers from the Chinese Process Systems Engineering Annual Meeting 2017 • Previous Articles Next Articles

Equipment selection knowledge base system for industrial styrene process

Weimin Zhong, Shuming Liu, Feng Wan, Zhi Li

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

Received:2017-10-16 Online:2018-09-21 Published:2018-08-28
Contact: Weimin Zhong,E-mail address:wmzhong@ecust.edu.cn
Supported by:
Supported by the National Science Foundation China (61422303), National Key Technology R&D Program (2015BAF22B02), and the Development Fund for Shanghai Talents.

Equipment selection knowledge base system for industrial styrene process

Weimin Zhong, Shuming Liu, Feng Wan, Zhi Li

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

通讯作者: Weimin Zhong,E-mail address:wmzhong@ecust.edu.cn
基金资助:
Supported by the National Science Foundation China (61422303), National Key Technology R&D Program (2015BAF22B02), and the Development Fund for Shanghai Talents.

Abstract

Abstract: 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.

Key words: 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 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.

关键词: Equipment selection, Ontology technology, Knowledge base system, Styrene process

Weimin Zhong, Shuming Liu, Feng Wan, Zhi Li. Equipment selection knowledge base system for industrial styrene process[J]. Chin.J.Chem.Eng., 2018, 26(8): 1707-1712.

Weimin Zhong, Shuming Liu, Feng Wan, Zhi Li. Equipment selection knowledge base system for industrial styrene process[J]. Chinese Journal of Chemical Engineering, 2018, 26(8): 1707-1712.

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Equipment selection knowledge base system for industrial styrene process

Equipment selection knowledge base system for industrial styrene process

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