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Journal Article

Citation

Wang J, Wang S, Zhang X, Zhang L. China Saf. Sci. J. 2020; 30(2): 21-27.

Copyright

(Copyright © 2020, China Occupational Safety and Health Association, Publisher Gai Xue bao)

DOI

10.16265/j.cnki.issn1003-3033.2020.02.004

PMID

unavailable

Abstract

In order to cope with increasingly complex technological process of gas storage separators and larger process equipment, risk analysis of gas storage separators is conducted based on RBI technology. Firstly, by collecting and integrating multi-source heterogeneous data such as equipment parameters, operating parameters, and environmental parameter, a separator failure model was constructed, its failure probability and area of failure consequences were calculated, and its risk was ranked so as to establish inspection cycle and inspection measures. Then, computer-aided software was developed based on RBI method by using advanced sensing technology and big data analysis technology. The results show that with real-time acquisition and processing of operating data, RBI risk analysis results can achieve both accuracy and automation, thus improving safety management in gas storage station. © 2020 China Safety Science Journal. All rights reserved.


Language: zh

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