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Early Detection System for Gas Leakage and Fire in Smart Home Using IOT

Author

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  • B. Deepika
  • S. Sivakami
  • S. Sneha
  • B. Sujitha

Abstract

Gas leakage is an important environmental, commercial and residential problem that threatens human health, safety and the environment. Traditional gas detection methods often lack the ability to track time and do not provide timely information, leading to accidents and damage. In this context, Internet of Things (IoT) technology has been found to provide a reliable solution for continuous monitoring and remote management of gas detection systems. This paper presents an IoT-based gas leak detection system to improve safety and reduce the risk of gas leakage. leak. The proposed system integrates gas sensors, microcontrollers, communication modules and cloud computing infrastructure to enable real-time monitoring, data analysis and remote monitoring. Gas detectors used in designated areas indicated the presence of hazardous gases, and data was collected directly from the 's central processing unit for analysis. The system provides rapid rescue and intervention by sending instant notifications via mobile applications in case of a gas leak. The main features of the proposed system are scalability, flexibility and interoperability, allowing integration with existing infrastructure and integration of different protocols. Additionally, the use of a cloud-based platform facilitates data storage, analysis and visualization, allowing partners to gain insight intogasleaks, processes and possible consequences

Suggested Citation

  • B. Deepika & S. Sivakami & S. Sneha & B. Sujitha, 2024. "Early Detection System for Gas Leakage and Fire in Smart Home Using IOT," International Journal of Scientific Research in Computer Science, Engineering and Information Technology, International Journal of Scientific Research in Computer Science, Engineering and Information Technology, vol. 10(3), pages 102-108, June.
  • Handle: RePEc:jbh:ijsrcs:v10:y2024:i3:id:180
    DOI: 10.32628/CSEIT24102123
    Note: Article URL: https://ijsrcseit.com/home/article/view/CSEIT24102123
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