IOT Based Gas Leakage Detector Using Arduino

Authors: Prof. Salunke Apurva, Miss. Jamdhade Pratiksha Dilip, Miss. Kavade Gayatri Bharat, Miss. Pawar Sakshi Somnath, Miss. Sawant Gayatri Umakant

Country: India

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Abstract: With the rapid integration of Internet of Things (IoT) technologies into various domains, there is a growing need for innovative solutions that enhance safety and mitigate potential risks. This paper introduces an IoT-based gas leakage detection system designed to monitor and detect gas leaks in real-time, thereby ensuring the safety of smart environments. The proposed system employs a network of gas sensors strategically deployed in critical areas to continuously monitor the air quality. These sensors are connected to a central IoT gateway, facilitating seamless communication and data exchange. The system utilizes advanced data analytics and machine learning algorithms to process the sensor data in realtime, enabling quick and accurate identification of gas leak incidents. Upon detection, the system triggers immediate alerts through various communication channels, such as mobile applications or email notifications, ensuring timely response and preventive measures. Additionally, the integration of cloud computing allows for remote monitoring, data storage, and analysis, providing a comprehensive overview of gas concentration trends over time. The scalability and adaptability of the proposed system make it suitable for a wide range of applications, including residential, industrial, and commercial settings. Furthermore, the implementation of edge computing minimizes latency, making the system responsive and efficient. The paper concludes with a discussion on the potential impact of the IoT-based gas leakage detection system in promoting a safer and more secure environment, emphasizing the significance of leveraging emerging technologies for proactive risk management.

Keywords: IoT (Internet of Things), Gas leakage detection, Safety Smart environments, Sensor network, Real-time monitoring, Data analytics, Machine learning algorithms, IoT gateway, Communication channel

Paper Id: 230452

Published On: 2024-01-23

Published In: Volume 12, Issue 1, January-February 2024

Cite This: IOT Based Gas Leakage Detector Using Arduino - Prof. Salunke Apurva, Miss. Jamdhade Pratiksha Dilip, Miss. Kavade Gayatri Bharat, Miss. Pawar Sakshi Somnath, Miss. Sawant Gayatri Umakant - IJIRMPS Volume 12, Issue 1, January-February 2024.

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