Literature Review of Data Analytics for Leak Detection in Water Distribution Networks: A Focus on Pressure and Flow Smart Sensors

Leakage detection is one of the important aspects water distribution management. Water companies are exploring alternative approaches to detect leaks in a timely manner with high accuracy reduce losses and minimize environmental economic consequences. In this article, literature review presented develop step-by-step analytic framework for leakage process based on flow pressure data collected from networks. The main steps are: setting up goals, collection, preparing gathered data, analyzing prepared method evaluation. issues concern each step proposed analyzed discussed. smart sensor-based methods can be categorized as data-driven model-based methods. Data-driven further statistical control-based methods, prediction-classification clustering Hydraulic calibration-based sensitivity analysis, classifier-based advantages disadvantages discussed, suggestions future research provided. This represents new perspective subject five aspects: (1) most focused burst detection, different types should considered research, (2) it consider uncertainties, more robust real-time developed, (3) hydraulic model (4) unrealistic assumptions addressed (5) spatial relations between sensors could provide information considered.