Author(s): Alvin Chew; Ashley Zhang
Linked Author(s): Hui Zhang, Alvin Chew
Keywords: Smart water grid anomaly detection and localization water distribution networks hydraulic model calibration deep learning
Abstract: In this study, a novel cloud-hosted software solution, titled as Anomaly Leak Finder (ALF), has been developed in collaboration with PUB, Singapore's National Water Agency to enhance leak detection and localization in four major water distribution networks (WDNs) in Singapore. The large networks which span over 1000km underground pipelines are monitored 24/7 with 90+ smart sensors. Leveraging on near real-time hydraulic time-series data, ALF employs data-driven prediction (DDP) and physics-based simulation (PBS) models to minimize the total non-revenue water (NRW) losses by detecting and localizing hidden pipe leak events before they become disruptive events.
Year: 2025