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http://dx.doi.org/10.7842/kigas.2017.21.2.59

Introduction of Intelligent System Model for Safety Monitoring in a High Pressure Filling Station Based on Sound Analysis  

Kim, Seong-Joo (Technical Research Lab, Dae-Heung Industrial Gases Co., Ltd.)
Publication Information
Journal of the Korean Institute of Gas / v.21, no.2, 2017 , pp. 58-63 More about this Journal
Abstract
Currently, the safety monitoring process in a complex plant environment is proceeded by human. Sometimes, human error that may occur in a filed causes an severe problem. This paper introduces new method of safety monitoring system using sound information and fuzzy theory that is one of intelligent theories, in order to recognize the status of plant environment. In this paper, the filling station of high pressure gas will be used as a test plant. The result system will be widely applied for more complex plant environments.
Keywords
safey monitoring; sound analysis; fuzzy logic; intelligence; recognition;
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