Design and implementation of an IoT-based LPG gas leakage detection device

This study presents the design and implementation of a low-cost, portable gas leakage detection system based on the Internet of Things (IoT) for monitoring flammable gases, particularly liquefied petroleum gas (LPG). The proposed system uses an MQ-5 gas sensor integrated with a NodeMCU ESP8266 microcontroller to detect gas concentration levels and transmit real-time data to users via the Blynk IoT platform. Through multiple iterations, including tests with alternative cloud platforms such as Arduino IoT Cloud and Google Sheets, Blynk was selected for its reliability and user interface simplicity. The system also incorporates a lithium-ion battery (18650) and dedicated power shield to ensure mobility and uninterrupted operation. Experimental results demonstrate the sensor's responsiveness, system stability, and low latency (<2s) in various environments. The project showcases the feasibility of developing a compact, scalable IoT-based safety solution for residential and semi-industrial applications. The findings emphasize the relevance of incorporating real-time monitoring and wireless data transmission in enhancing gas safety. Future advancements may expand functionality to include predictive analytics and machine learning algorithms.

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Publication Details

Published
2025-08-08
DOI
https://doi.org/10.82480/fgciot.2025.08081214346
Primary Topic
Fire Detection and Safety Systems
Type
article
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Design and implementation of an IoT-based LPG gas leakage detection device

Fire Detection and Safety Systems
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Design and implementation of an IoT-based LPG gas leakage detection device

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Abstract

This study presents the design and implementation of a low-cost, portable gas leakage detection system based on the Internet of Things (IoT) for monitoring flammable gases, particularly liquefied petroleum gas (LPG). The proposed system uses an MQ-5 gas sensor integrated with a NodeMCU ESP8266 microcontroller to detect gas concentration levels and transmit real-time data to users via the Blynk IoT platform. Through multiple iterations, including tests with alternative cloud platforms such as Arduino IoT Cloud and Google Sheets, Blynk was selected for its reliability and user interface simplicity. The system also incorporates a lithium-ion battery (18650) and dedicated power shield to ensure mobility and uninterrupted operation. Experimental results demonstrate the sensor's responsiveness, system stability, and low latency (<2s) in various environments. The project showcases the feasibility of developing a compact, scalable IoT-based safety solution for residential and semi-industrial applications. The findings emphasize the relevance of incorporating real-time monitoring and wireless data transmission in enhancing gas safety. Future advancements may expand functionality to include predictive analytics and machine learning algorithms.

Islamic Azad University, Tehran (IR), Islamic Azad University South Tehran Branch (IR), Islamic Azad University Medical Branch of Tehran (IR), Islamic Azad University, Shahrood (IR)
Industry, innovation and infrastructure
Openalex Percentile: Top 42%
Fire Detection and Safety Systems
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