Smart Water Distribution Monitoring Framework using Internet of Things based Pressure and Flow Sensing Systems

Smart water distribution monitoring frameworks that are powered by Internet of Things (IoT) technologies have come up as a solution to old inefficiencies in municipal water supply networks. Traditional water distribution systems have problems in terms of Hidden leakages, pressure fluctuations, inequitable flow distribution etc. with huge losses and operational problems. Solving these issues, this study proposes an IoT-based pressure and flow sensing framework to achieve real-time visibility, predictive fault detection and data-driven control. The method is a combination of the distributed sensor nodes and a LoRaWAN/5G communication layer, anomaly detection at edge level and a cloud-based analytics dashboard using machine learning enabled flow-pressure correlation models. Experiments on a pilot-scale testbed of a 2km pipeline network gives 21.4% reduction in non-revenue water, 17% pressure stability improvement and 94.6% accuracy in the detection of anomalies. The results confirm that the proposed system increases operational reliability and optimizes water delivery and maintenance is proactive. Conclusively, the framework demonstrates the feasibility of implementation of IoT-based sensing systems as a scalable and economical approach to modernize the water distribution systems.