Research on the Construction of Safety Information Ontology Knowledge Base and Accident Reasoning for Complex Hazardous Production Systems-Taking Methanol Production Process as an Example

Meng Liu, Rui Huang () and Fangting Xu
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Meng Liu: School of Resources and Safety Engineering, Central South University, Changsha 410083, China
Rui Huang: School of Resources and Safety Engineering, Central South University, Changsha 410083, China
Fangting Xu: School of Resources and Safety Engineering, Central South University, Changsha 410083, China

Sustainability, 2023, vol. 15, issue 3, 1-18

Abstract: Taking methanol production as an example, the concept of “ontology” is introduced to construct a safety knowledge ontology, and a safety information knowledge base is created with the help of the Protégé software. These can be used to efficiently handle the massive safety information data of dangerous chemical enterprises, associate all kinds of miscellaneous information, and improve the level of safety management. An accident tree reasoning model is designed to determine the cause of the accident using accident tree reasoning, and to mine the vast knowledge of safety information, according to safety information knowledge and accident tree analysis theory. Using these methods, the storage, processing, and reuse of safety information are realized, the efficiency of safety management can be improved, and the defects caused by incomplete personnel knowledge structure can be avoided.

Keywords: accident tree; hazard enterprise; knowledge base; ontology; safety information; reasoning (search for similar items in EconPapers)
JEL-codes: O13 Q Q0 Q2 Q3 Q5 Q56 (search for similar items in EconPapers)
Date: 2023
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