文献类型：期刊文献

英文题名：Development of process safety knowledge graph: A Case study on delayed coking process

作者：Mao, Shuai[1];Zhao, Yunmeng[1];Chen, Jinhe[2];Wang, Bing[1];Tang, Yang[1]

机构：[1]East China Univ Sci & Technol, Key Lab Adv Control & Optimizat Chem Proc, Minist Educ, Shanghai 200237, Peoples R China;[2]Minist Emergency Management, Natl Registrat Ctr Chem, Beijing, Peoples R China

年份：2020

卷号：143

外文期刊名：COMPUTERS & CHEMICAL ENGINEERING

收录：;EI(收录号：20204009263746);WOS:【SCI-EXPANDED(收录号:WOS:000598171700014)】；

基金：This work is supported in part by National Key Research and Development Program of China under Grant 2018YFC0809302, the National Natural Science Foundation of China under Grants 61988101, 61751305, 6167317 and theProgramme of Introducing Talents of Discipline to Universities (the 111 Project) under Grant B17017.

语种：英文

外文关键词：Process safety; Knowledge graph; Delayed coking process

摘要：Process safety is one of the essential preconditions for the achievement of green manufacturing. The improvement of process safety management requires a comprehensive risk analysis based on the collection of almost all safety related information, which are usually unstructured knowledge and experience. To handle the information and support the risk analysis, a process safety knowledge graph is prompted and the development of domain ontology on delayed coking process is elaborated. The combined top-down and bottom-up approaches are used in defining the process safety schema on ontology level. Several multi-structured data sources are introduced in establishing the process safety knowledge, in which the hazard and operability analysis (HAZOP) reports and process diagrams are most important. The ontology design and data extraction are demonstrated in the manuscript while various related applications are discussed. This process safety knowledge graph might empower the knowledge-based analysis abilities in discovering the hidden relationships between possible risk causes and consequences in an emergency situation, and could provide a foundation for more application related to process safety. (C) 2020 Elsevier Ltd. All rights reserved.