Journal of Engineering Design and

Computational Science

Open Access Peer Reviewed International Journal

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ISSN : 2583-5165

A Peer Reviewed/Referred

Open Access Journal

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Enhancing IoT Intelligence through Automated Monitoring and Response for Leakage Detection


Author(s)
Ankita Ozha,MR. ATUL CHAUDHARI,OMKAR KACHOLE ,VEDANT WADJE
Abstract
— The paper proposes an innovative solution to address the critical challenge of water scarcity through the strategic integration of advanced technologies. By leveraging real-time sensor networks, remote inspection tools, and robust data analytics and visualization, the research aims to significantly improve the efficiency of water distribution systems, minimize losses, and enhance overall infrastructure management. The multifaceted advantages of the proposed system include heightened efficiency, reduced water losses, improved asset management, and data-driven decision-making capabilities. The incorporation of early detection mechanisms and prompt response strategies ensures effective water conservation. This not only contributes to environmental sustainability but also plays a vital role in conserving precious water resources and reducing overall energy consumption. The system's primary focus is on detecting and addressing early leaks and damages in water distribution pipelines, resulting in minimized water losses and requiring minimal manual intervention. The implementation of a real-time sensor network further enhances the monitoring of water flow, making the paper a well-conceived and promising initiative with the potential to make a significant contribution to sustainable water resource management