«Automation and Informatization of the fuel and energy complex»

Diagnostic algorithm of gas detectors in the automated systems to prevent pre-fire and explosive modes

UDC: 681.5
DOI: 10.33285/2782-604X-2023-7(600)-5-12

Authors:

¹ National University of Oil and Gas "Gubkin University", Moscow, Russia

Keywords: oil refinery, fire risk, gas detector, outdoor installation, maintenance, neural network

Annotation:

An algorithm for controlling diagnostic measures to confirm the readiness to use gas detector sensors as part of an automated system for preventing pre-fire and explosive conditions at outdoor technological installations of an oil refinery. The algorithm takes into account the results of the convolutional neural network, which allows obtaining the adjusted time of maintenance procedures while taking into account the influence of several groups of parameters.

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