Study on Pipe Burst Detection Frame Based on Water Distribution Model and Monitoring System
Open Access
Abstract
This paper describes an infrastructure to detect burst events in a water distribution network, which we illustrate using the Guangzhou water distribution system (WDS). We consider three issues: The feasibility and capability of accurate detection, the layout and design of the monitoring infrastructure, and the burst event detection algorithm. Background noise is identified by analyzing the monitored data. A burst event can be accurately detected only when the impact of the burst can be differentiated from the background noise. We hypothesize that there is a minimum pipe diameter below which accurate burst detection is impossible. We found that data from at least two sensors close to the burst event are required to reduce detection errors.Keywords
Funding Information
- National Nature Science Foundation of China (51578486)
- Guangzhou Science and Technology Program (201604020019)
This publication has 15 references indexed in Scilit:
- Using SCADA to Detect and Locate Bursts in a Long-Distance Water PipelineWater, 2018
- Water Distribution System Burst Detection Using a Nonlinear Kalman FilterJournal of Water Resources Planning and Management, 2015
- A review of methods for burst/leakage detection and location in water distribution systemsWater Supply, 2014
- Burst Detection in Water Networks Using Principal Component AnalysisJournal of Water Resources Planning and Management, 2012
- Kalman Filtering of Hydraulic Measurements for Burst Detection in Water Distribution SystemsJournal of Pipeline Systems Engineering and Practice, 2011
- Pipe burst diagnostics using evidence theoryJournal of Hydroinformatics, 2010
- Burst detection using hydraulic data from water distribution systems with artificial neural networksUrban Water Journal, 2006
- Leak location using the pattern of the frequency response diagram in pipelines: a numerical studyJournal of Sound and Vibration, 2005
- Incorporation of prior information on parameters in inverse transient analysis for leak detection and roughness calibrationUrban Water Journal, 2004
- Leaks in Pipe NetworksJournal of Hydraulic Engineering, 1992