Foysal, Farhan Masud and Mondal, Shuvra and Riyad, Tarifuzzaman and Sikder, Shahin and Rimon, Md Asikujjaman and Hasan, Jahid and Amir, Md. Asif (2025) Integrated IoT-based Smart Billing and LPG Gas Leakage Detection System for Energy Efficiency and Safety in Smart Living. Journal of Engineering Research and Reports, 27 (1). pp. 1-15. ISSN 2582-2926
Full text not available from this repository.Abstract
Smart resource management and safety systems are becoming essential in modern living by integrating seamlessly into everyday life, ensuring efficient energy use and proactive hazard detection. This research presents a Smart Billing Meter and LPG Gas Leakage Detection System, emphasizing cost-effectiveness while maintaining high performance, particularly for developing regions. The system offers real-time energy monitoring, dynamic billing, and remote load control, allowing users to optimize energy consumption and reduce costs effectively. The LPG gas detection module enhances safety by identifying hazardous gas levels and triggering automated responses, including exhaust fan activation and instant user alerts, ensuring timely intervention. A user-friendly interface ensures ease of interaction, while IoT integration delivers real-time data and notifications for enhanced transparency and control. The proposed system leverages advanced sensors and IoT technologies to combine energy efficiency with safety, providing a scalable and practical solution for residential and industrial applications. Beyond its technical features, this research explores the system's potential in energy conservation and hazard prevention, offering a forward-thinking approach to smart living. By aligning with global sustainability goals and addressing essential safety concerns, this system fosters a safer, more energy-efficient, and environmentally friendly future.
Item Type: | Article |
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Subjects: | STM Academic > Engineering |
Depositing User: | Unnamed user with email support@stmacademic.com |
Date Deposited: | 11 Jan 2025 10:28 |
Last Modified: | 11 Jan 2025 10:28 |
URI: | http://article.researchpromo.com/id/eprint/2617 |