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

被引：28
|
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
来源：
COMPUTERS & CHEMICAL ENGINEERING | 2020年 / 143卷
基金：
中国国家自然科学基金;
关键词：
Process safety; Knowledge graph; Delayed coking process;
D O I：
10.1016/j.compchemeng.2020.107094
中图分类号：
TP39 [计算机的应用];
学科分类号：
081203 ; 0835 ;
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.
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页数：8
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