This is an unedited manuscript accepted for publication and provided as an Article in Press for early access at the author’s request. The article will undergo copyediting, typesetting, and galley proof review before final publication. Please be aware that errors may be identified during production that could affect the content. All legal disclaimers of the journal apply.
Mayank S. Kulkarni,
Sudesh S. Godase,
Pratik B. Godase,
S.S. Gangonda,
- Student, Electronics & Telecommunication, SKN Sinhgad College of Engineering, Pandharpur, Maharashtra, India
- Student, Electronics & Telecommunication, SKN Sinhgad College of Engineering, Pandharpur, Maharashtra, India
- Student, Electronics & Telecommunication, SKN Sinhgad College of Engineering, Pandharpur, Maharashtra, India
- Assistant Professor, Electronics & Telecommunication, SKN Sinhgad College of Engineering, Pandharpur, Maharashtra, India
Abstract
This project report presents the design and implementation of a focused automatic gas leakage detection and ventilation system centered on the Arduino Nano microcontroller and the MQ-2 gas sensor. The primary function of the system is to detect flammable gases like LPG, propane, and methane using the MQ-2 gas sensor. This sensor continuously monitors the surrounding air for the presence of these gases. When the gas concentration crosses a predefined safety threshold, the system takes immediate action to reduce risk. An Arduino Nano microcontroller processes the sensor data in real time and, upon detecting a hazardous level of gas, automatically activates an exhaust fan. This fan serves as both an alert mechanism and a safety response to ventilate the area, helping to prevent potential accidents such as fire or explosion. The integration of the MQ-2 sensor with the Arduino Nano enables a compact and efficient gas detection solution focused on rapid response and low-cost implementation for enhanced safety in enclosed environments. This report details the hardware architecture, the software algorithm programmed onto the Arduino Nano for continuous gas monitoring and exhaust fan control, and the seamless integration of the sensor, microcontroller, and the exhaust fan. Preliminary testing of the developed prototype demonstrates its effectiveness in detecting gas leaks and automatically initiating ventilation via the exhaust fan. This streamlined system offers a direct and automated response to potential gas hazards in enclosed spaces. Future work could explore optimizing the ventilation strategy based on the severity of the leak and integrating power-saving measures for the exhaust fan operation.
Keywords: Gas leakage detection, MQ-2 gas sensor, ventilation via the exhaust fan, Automation, IOT
[This article belongs to Journal of VLSI Design Tools and Technology ]
Mayank S. Kulkarni, Sudesh S. Godase, Pratik B. Godase, S.S. Gangonda. Automatic Gas Leakage Detection System. Journal of VLSI Design Tools and Technology. 2025; 15(03):-.
Mayank S. Kulkarni, Sudesh S. Godase, Pratik B. Godase, S.S. Gangonda. Automatic Gas Leakage Detection System. Journal of VLSI Design Tools and Technology. 2025; 15(03):-. Available from: https://journals.stmjournals.com/jovdtt/article=2025/view=230678
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Journal of VLSI Design Tools and Technology
| Volume | 15 |
| Issue | 03 |
| Received | 24/05/2025 |
| Accepted | 21/06/2025 |
| Published | 07/11/2025 |
| Publication Time | 167 Days |
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