AUTOMATIC LPG GAS LEAKAGE DETECTION SYSTEM USING MICROCONTROLLER WITH BLYNK-BASED MOBILE REAL-TIME MONITORING APPLICATION

Sudirman Lubis

Abstract


LPG (Liquefied Petroleum Gas) is an energy source that is widely used in households and industries, but LPG gas leaks can cause fire and explosion hazards. Therefore, an effective gas leak detection system is needed to improve safety. This study aims to create and develop an automatic LPG gas leak detector based on a microcontroller that can be monitored via a mobile application using Blynk. This tool uses an MQ-2 gas sensor to detect the presence of LPG gas in the air. The microcontroller used is the NodeMCU ESP32, which is equipped with a Wi-Fi module to send data to the Blynk application in real-time. This system will provide a warning via notification on the mobile application if a gas leak is detected. In addition, this tool is also equipped with a buzzer as a local sound alarm and an LED as a visual indicator to provide direct warnings at the location. The leak detector can scan the gas levels that can be monitored through the blnyk application with the provision of > 500 ppm means the danger of a gas leak that causes an explosion by providing information through a red LED light that will light up and the buzzer will sound an alarm and ESP32 will provide notification to the user via the blnyk application. > 300 ppm means be careful and the yellow LED light will light up and ESP32 will provide notification to the user via the blnyk application. < 300 ppm means safe and the green LED light will light up. The evaluation results show that this system is effective in detecting LPG gas leaks and providing a quick response to potential hazards, making it a practical and reliable solution in preventing LPG gas leaks. so this research is worthy of being used as an automatic LPG gas leak detector to avoid unwanted things such as explosions or poisoning caused by LPG gas leaks.


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References


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DOI: https://doi.org/10.3059/insis.v0i0.28918

DOI (PDF): https://doi.org/10.3059/insis.v0i0.28918.g15012

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