DESIGN AND IMPLEMENTATION OF AUTOMATED DETECTION OF GAS CYLINDER LEAKAGES USING ARTIFICIAL INTELLIGENCE


DESIGN AND IMPLEMENTATION OF AUTOMATED DETECTION OF GAS CYLINDER LEAKAGES USING ARTIFICIAL INTELLIGENCE

Abstract views: 4 / PDF downloads: 0


Omoregbee Helen Otaninyenuwa

Obokhai Kess Asikhia

Keywords: Liquefied Petroleum Gas (LPG); Leakages; Detection

Abstract

The user's carelessness or incompetence, an outdated system, a broken cylinder, or its auxiliary parts are among the most prevalent causes of liquefied petroleum gas (LPG) leaks in households. The outcome is unanticipated leakages, which pose the risk of explosions. So, this research focuses on finding out how to build, test, and operate an electrically driven system that can automatically identify gas leaks with the use of a gas sensor module. In the event of a gas leak in the house, the electrical circuit will pick up the signal, translate it into screen-readable information, and then send an automated phone call to the user. As the minimal threshold value changed at different amounts of gas leakage, validation and testing of the proposed system demonstrated a high degree of sensitivity, detecting as low as 3000 ppm of gas leakage. In addition, the system's sensitivity is great, which is typical of systems designed to detect gas leaks.

   

Full-Text:


   

Published: 2026


   

Issue:

Articles