Gas Leakage Detector Using Arduino
M.Harish, T.Adithya Vardhan,M.Chakravarthy
M.Harish ECE IARE
T.Adithya Vardhan ECE IARE
M.Chakravarthy ECE IARE
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Abstract - Effective monitoring systems are necessary due to the serious threats that gas leaks bring to both property and human safety. This project uses Arduino to create an inexpensive, effective gas leak detecting system. To identify dangerous gases including butane, propane, and methane, the system uses a gas sensor, like the MQ series. The Arduino sends out alarms and messages via a GSM module or an Internet of Things platform for remote monitoring when the gas concentration surpasses a predetermined threshold.
The Arduino microcontroller, which handles real-time sensor data, is the central component of the system. Accurate detection is made possible by the MQ gas sensor, which transforms gas concentrations into electrical impulses. A straightforward circuit powers the gadget, guaranteeing its dependability and mobility. By minimizing possible risks in commercial, industrial, and residential contexts and delivering timely notifications, its design places a strong emphasis on safety.
Safety plays a major role in today’s world and it is necessary that good safety systems are to be implemented in places of education and work. This work modifies the existing safety model installed in industries and this system also be used in homes and offices. The main objective of the work is designing microcontroller based gas detecting and alerting system. The hazardous gases like LPG and propane were sensed and displayed each and every second in the LCD display. If these gases exceed the normal level then an alarm is generated immediately and also an alert message (SMS) is sent to the authorized person through the GSM. The advantage of this automated detection and alerting system over the manual method is that it offers quick response time and accurate detection of an emergency and in turn leading faster diffusion of the critical situation
Key Words: Gas leakage, Arduino, MQ sensor, IoT, safety, real-time monitoring