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Due to water scarcity and inefficient use, many regions struggle with high consumption costs.The following elements make up the suggested Internet of Things-based smart water management system: Smart water meter: Provides real-time water consumption measurements., Leak detection sensor: Instantly sends out alerts when it detects leaks in taps and pipes., Mobile applications: Show data on water usage and offer analysis and suggestions to cut back.Furthermore, conventional systems are unable to offer in-depth analysis or suggestions for better usage patterns.The primary issue is the dearth of efficient instruments for tracking water usage and immediately identifying leaks.This results in substantial resource waste and higher user costs.
Due to water scarcity and inefficient use, many regions struggle with high consumption costs. In this paper, we propose an Internet of Things (IoT)-based smart water management system to track water usage and identify leaks early. The system gives users access to real-time reports and analysis through a mobile phone application that connects to a smart water meter and sensor. Initial findings show that the system can increase resource efficiency and decrease waste.
The primary issue is the dearth of efficient instruments for tracking water usage and immediately identifying leaks. This results in substantial resource waste and higher user costs. Furthermore, conventional systems are unable to offer in-depth analysis or suggestions for better usage patterns. The following elements make up the suggested Internet of Things-based smart water management system: Smart water meter: Provides real-time water consumption measurements., Leak detection sensor: Instantly sends out alerts when it detects leaks in taps and pipes., Mobile applications: Show data on water usage and offer analysis and suggestions to cut back. And Frequent analysis and reports: Enables users to monitor consumption and make adjustments. Decreased water waste: Up to 20% less water was used thanks to the system. Early leak detection: 90% of leaks were found early, minimizing damage. Enhanced effectiveness: By using the reports, users were able to optimize their consumption habits.
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