Smart Gas Leakage Detection and Alert System Over GSM Network

Sistem Pintar Pengesanan Kebocoran Gas dan Sistem Penggera di Atas Rangkaian GSM

  • Sylvia Ong Ai Ling, Ph.D. Politeknik Kuching Sarawak
  • Valentine Teo Politeknik Kuching Sarawak
  • Lim Kim Yuan Politeknik Kuching Sarawak
  • Asri Ariffin Politeknik Kuching Sarawak

Abstract

Gas leakages are a major problem in industrial, residential areas, and hospitals that greatly cause damage to life and property. Furthermore, gas leaks can be hazardous to human health, which leads to breathing problems and nausea as well as to the environment. A little sparking can cause an immediate explosion. To avoid such situations, a considerable amount of effort has been devoted to the development of reliable techniques for detecting gas leakage and leakage location by implementing sensors. This project aims to reduce the risks of gas leakage by developing a smart gas detection system that automatically detects the leakage of the Liquefied Petroleum Gas (LPG) employing a gas sensor. The system comprises an LPG gas leakage detector that communicates and sends the warning signal to the Arduino Uno Microcontroller. The warning signal is then sent via Global System for Mobile Communication (GSM) network to alert the specified mobile phone users via Short Message Service (SMS). This system also triggers a ventilation fan and buzzer simultaneously to regulate the air as well as to alert the nearby users. In comparison to the traditionally used manual method, this auto-detection and alert system successfully implemented the fastest response time possible and accurate detection of an emergency, thus helping to disseminate the critical situation faster.

Published
2021-11-15
How to Cite
AI LING, Sylvia Ong et al. Smart Gas Leakage Detection and Alert System Over GSM Network. Jurnal Sains Sosial dan Pendidikan Teknikal | Journal of Social Sciences and Technical Education (JoSSTEd), [S.l.], v. 2, n. 2, p. 23-29, nov. 2021. ISSN 2716-6740. Available at: <https://myjms.mohe.gov.my/index.php/jossted/article/view/16134>. Date accessed: 27 may 2022.

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