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<p><?tk 4?>DripAlyze, a novel Internet of Things based system designed to address the critical issue of undetected water leakage. The proposed system employs low-cost ESP32 microcontrollers and YF-B2 Hall effect flow sensors with adaptive detection algorithm to monitor water consumption patterns in real-time. The system achieves 95% sensitivity for leaks as minimal as 0.2&#xa0;L per minute while maintaining false positive rates below 1.2%. The system is energy efficient as it operates on only 1.5&#xa0;W of power. Experimental results demonstrate that DripAlyze reduced water wastage by 20%, conserving approximately 5000&#xa0;L of water compared to conventional manual inspection methods. The companion mobile application provides users with consumption analytics and facilitates immediate connection to repair services through an integrated booking system. This research delivers an affordable, scalable smart building solution for real-time water leak detection, scalable from household to institutional use. The system saves water and provides economic advantages for consumers. In the future, the system can be augmented with predictive maintenance, camera technology for remote verification of leaks to minimize spurious alarms, and context-aware notifications.</p>

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DripAlyze: internet of things based water leakage detection system for smart resource management

  • 期刊论文

  • 发表日期：

    2025年10月9日

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  • Maitri Patel,
  • Jyotin Kateshia,
  • Dwij Baxi,
  • Devkumar Chaudhari,
  • Harsh Patel

摘要

DripAlyze, a novel Internet of Things based system designed to address the critical issue of undetected water leakage. The proposed system employs low-cost ESP32 microcontrollers and YF-B2 Hall effect flow sensors with adaptive detection algorithm to monitor water consumption patterns in real-time. The system achieves 95% sensitivity for leaks as minimal as 0.2 L per minute while maintaining false positive rates below 1.2%. The system is energy efficient as it operates on only 1.5 W of power. Experimental results demonstrate that DripAlyze reduced water wastage by 20%, conserving approximately 5000 L of water compared to conventional manual inspection methods. The companion mobile application provides users with consumption analytics and facilitates immediate connection to repair services through an integrated booking system. This research delivers an affordable, scalable smart building solution for real-time water leak detection, scalable from household to institutional use. The system saves water and provides economic advantages for consumers. In the future, the system can be augmented with predictive maintenance, camera technology for remote verification of leaks to minimize spurious alarms, and context-aware notifications.