Detection and prediction of leakages in water distribution networks

Leakages are one of the main causes of water loss in a water distribution system (WDS). In recent years, the increasing of streaming data coming from sensors installed in the water network, allows the monitoring the health status of each asset of the WDS. In this paper, a preliminary data-driven approach for leakages detection and prediction is proposed. Starting from the characteristics of a real water distribution network, a realistic leakages dataset has been achieved. Using this dataset, unsupervised rule-based time series algorithms has been trained for the detection and prediction of leakages