•  
  •  
 

Journal of Innovation in Science, Engineering and Technology

Document Type

Original Study

Abstract

Water leaks in pipe systems lead to loss of water, damage to infrastructure and increased operating expenses. Traditional leak-detection methods are slow, and they cannot detect leaks in real time. The existing Internet of Things (IoT) solutions are dependent on single-sensor technology, cloud processing and high-cost computational models, unsuitable for home use. In view of this, this study suggests an IoT-based Smart Acoustic Leak Localisation and Auto-Shutoff (SALAS) System for real-time water loss prevention in small-scale pipeline environments. The prime objective is to design and develop an IoT-based water-leakage detection, localisation, and valve-closure system. Development followed a prototype model and an embedded-system IoT design approach. Vibration sensor, flow sensor, and a solenoid valve with the ESP32 microcontroller were used to detect, localise and prevent water leaks. Leaks were detected and located using time-delay acoustic analysis and flow-rate validation. Experimental tests were conducted on a controlled PVC pipeline, and results analysed for localisation accuracy, system response time and reliability. The average detection time for the leak conditions was 2.4 seconds and the experimented system's response time was 3.6 seconds. The mean error of leak location was 14.25 cm, and all false-positive detections in normal flow and external vibration were eliminated by combining vibration and flow-rate analysis. It highlights a real-world workable solution for leak detection, localisation, and prevention for residential and small pipeline scenarios and shows one practical application of IoT. In future, vibration sensors will be replaced by pressure sensors, thereby enhancing localisation accuracy and enhancing system stability.

First Pages

55

Last Page

62

Download

Share

COinS