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Open AccessArticle

Time-Series-Based Leakage Detection Using Multiple Pressure Sensors in Water Distribution Systems

1
Department of Civil Engineering, Zhejiang University, Hangzhou 310058, China
2
Institute of Water Resources & Ocean Engineering, Ocean College, Zhejiang University, Hangzhou 310058, China
*
Author to whom correspondence should be addressed.
Sensors 2019, 19(14), 3070; https://doi.org/10.3390/s19143070
Received: 23 June 2019 / Revised: 7 July 2019 / Accepted: 10 July 2019 / Published: 11 July 2019
(This article belongs to the Section Sensor Networks)
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PDF [5163 KB, uploaded 12 July 2019]
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Abstract

Leak detection is nowadays an important task for water utilities as leakages in water distribution systems (WDS) increase economic costs significantly and create water resource shortages. Monitoring data such as pressure and flow rate of WDS fluctuate with time. Diagnosis based on time series monitoring data is thought to be more convincing than one-time point data. In this paper, a threshold selection method for the correlation coefficient based on time series data is proposed based on leak scenario falsification, to explore the advantages of data interpretation based on time series for leak detection. The approach utilizes temporal varying correlation between data from multiple pressure sensors, updates the threshold values over time, and scans multiple times for a scanning time window. The effect of scanning time window length on threshold selection is also tested. The performance of the proposed method is tested on a real, full-scale water distribution network using synthetic data, considering the uncertainty of demand and leak flow rates, sensor noise, and so forth. The case study shows that the scanning time window length of 3–6 achieves better performance; the potential of the method for leak detection performance improvement is confirmed, though affected by many factors such as modeling and measurement uncertainties. View Full-Text
Keywords: leak detection; water distribution system; data interpretation; time series; hydraulic models leak detection; water distribution system; data interpretation; time series; hydraulic models
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This is an open access article distributed under the Creative Commons Attribution License which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited (CC BY 4.0).
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Shao, Y.; Li, X.; Zhang, T.; Chu, S.; Liu, X. Time-Series-Based Leakage Detection Using Multiple Pressure Sensors in Water Distribution Systems. Sensors 2019, 19, 3070.

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