A review of data-driven approaches for burst detection in water distribution systems

Pipe bursts in water distribution systems (WDS) must be rapidly detected to minimize the loss of system functionality and recovery time. Pipe burst is the most common failure in WDS. It results in water loss out of the system, increased head losses, and low pressure at the customers' taps. Therefore, effective and efficient detection of pipe bursts can improve system resilience. To this end, this study proposes an optimal meter placement model to identify meter locations that maximize detection effectiveness for a given number of meters and type of meter. The linear programming model is demonstrated on a modified Austin EPANET hydraulic network. Receiver operating characteristic (ROC) curves for alternative pressure and flow meters are applied to investigate the relationship between the level of available information and pipe burst detection effectiveness. The optimal sensor locations were distinctly different depending on the type of meter and the objective to be considered. The ROC curves for alternative pressure and pipe flow meters showed that pipe flow meters are vulnerable to false alarms, and that using many pipe flow meters could detect all pipe bursts. Pressure meters could detect up to 82% of the burst events.

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Real-time Burst Detection in Water Distribution Systems Using a Bayesian Demand Forecasting Methodology

Procedia Engineering ◽

10.1016/j.proeng.2015.08.847 ◽

2015 ◽

Vol 119 ◽

pp. 13-18 ◽

Cited By ~ 13

Author(s):

Christopher Hutton ◽

Zoran Kapelan

Keyword(s):

Real Time ◽

Distribution Systems ◽

Water Distribution ◽

Demand Forecasting ◽

Water Distribution Systems ◽

Burst Detection

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Review of model-based and data-driven approaches for leak detection and location in water distribution systems

Water Science & Technology Water Supply ◽

10.2166/ws.2021.101 ◽

2021 ◽

Author(s):

Zukang Hu ◽

Beiqing Chen ◽

Wenlong Chen ◽

Debao Tan ◽

Dingtao Shen

Keyword(s):

Distribution Systems ◽

Water Distribution ◽

Water Distribution Systems ◽

Leak Detection ◽

Data Driven ◽

Detection Methods ◽

Water Utility ◽

Model Based ◽

Utility Companies ◽

Leak Detection And Location

Abstract Leak detection and location in water distribution systems (WDSs) is of utmost importance for reducing water loss, which is, however, a major challenge for water utility companies. To this end, researchers have proposed a multitude of methods to detect such leaks in WDSs. Model-based and data-driven approaches, in particular, have found widespread uses in this area. In this paper, we reviewed both these approaches and classified the techniques used by them according to their leak detection methods. It is seen that model-based approaches require highly calibrated hydraulic models, and their accuracies are sensitive to modeling and measurement uncertainties. On the contrary, data-driven approaches do not require an in-depth understanding of the WDS. However, they tend to result in high false positive rates. Furthermore, neither of these approaches can handle anomalous variations caused by unexpected water demands.

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