IDEAS home Printed from https://ideas.repec.org/a/pkp/rocere/v9y2022i1p30-43id2984.html
   My bibliography  Save this article

Gas Leakage Detection System with Alarming System

Author

Listed:
  • Muhammad Ahmad Baballe
  • Mukhtar Ibrahim Bello

Abstract

This system aims to present a design that can automatically detect, alarm, and control gas leakage using an exhaust fan to suck the gas away from the premises where there is leakage. This system detects the nature of gas using LEDs (red and green). The alarm gives a sound when gas leakage is detected, the exhaust fan sucks the gas away from the premise, and the Liquid Crystal Display (LCD) indicates the system performance at any distortion condition. The Arduino UNO is used as the main controller of the system, and the buzzer is used as a means of notification. One of the prophylactic means to stop accidents related to this gas leakage is to mount a gas leakage monitoring device in susceptible places. The system will detect the leakage of liquefied petroleum gas (LPG) using a gas sensor and use the buzzer to alarm the industries, companies, or people about the leakage. The system also consists of two indicators (LEDs). The Green LED used in this research indicates no gas detection, that is, there is no gas leakage in the environment, and the red LED will indicate that there is gas leakage detected. The device is intended for use in household safety where appliances and heaters that use natural gas or LPG may be a source of risk. The system can also be used for other applications in the industries or companies that depend on LPG and natural gas in their operations.

Suggested Citation

  • Muhammad Ahmad Baballe & Mukhtar Ibrahim Bello, 2022. "Gas Leakage Detection System with Alarming System," Review of Computer Engineering Research, Conscientia Beam, vol. 9(1), pages 30-43.
  • Handle: RePEc:pkp:rocere:v:9:y:2022:i:1:p:30-43:id:2984
    as

    Download full text from publisher

    File URL: https://archive.conscientiabeam.com/index.php/76/article/view/2984/6435
    Download Restriction: no

    File URL: https://archive.conscientiabeam.com/index.php/76/article/view/2984/6595
    Download Restriction: no
    ---><---

    Corrections

    All material on this site has been provided by the respective publishers and authors. You can help correct errors and omissions. When requesting a correction, please mention this item's handle: RePEc:pkp:rocere:v:9:y:2022:i:1:p:30-43:id:2984. See general information about how to correct material in RePEc.

    If you have authored this item and are not yet registered with RePEc, we encourage you to do it here. This allows to link your profile to this item. It also allows you to accept potential citations to this item that we are uncertain about.

    We have no bibliographic references for this item. You can help adding them by using this form .

    If you know of missing items citing this one, you can help us creating those links by adding the relevant references in the same way as above, for each refering item. If you are a registered author of this item, you may also want to check the "citations" tab in your RePEc Author Service profile, as there may be some citations waiting for confirmation.

    For technical questions regarding this item, or to correct its authors, title, abstract, bibliographic or download information, contact: Dim Michael (email available below). General contact details of provider: https://archive.conscientiabeam.com/index.php/76/ .

    Please note that corrections may take a couple of weeks to filter through the various RePEc services.

    IDEAS is a RePEc service. RePEc uses bibliographic data supplied by the respective publishers.