Using SCADA to Detect and Locate Bursts in a Long-Distance Water Pipeline
Pipe bursting is a serious problem for water supply systems. We propose a two-step burst detection and localization method for a long-distance water transportation pipeline. First, we use the Dempster⁻Shafer theory, an effective inference method for processing uncertain information, and co...
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2018-11-01
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Online Access: | https://www.mdpi.com/2073-4441/10/12/1727 |
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doaj-ed89abaf5ba14f77b2d2179109735a712020-11-24T22:58:24ZengMDPI AGWater2073-44412018-11-011012172710.3390/w10121727w10121727Using SCADA to Detect and Locate Bursts in a Long-Distance Water PipelineWeiping Cheng0Hongji Fang1Gang Xu2Meijun Chen3College of Civil Engineering and Architecture, Zhejiang University, Hangzhou 310058, ChinaCollege of Civil Engineering and Architecture, Zhejiang University, Hangzhou 310058, ChinaGuangzhou Water Supply Co., Ltd., Guangzhou 510600, ChinaCollege of Civil Engineering and Architecture, Zhejiang University, Hangzhou 310058, ChinaPipe bursting is a serious problem for water supply systems. We propose a two-step burst detection and localization method for a long-distance water transportation pipeline. First, we use the Dempster⁻Shafer theory, an effective inference method for processing uncertain information, and combine two risk functions to identify a pipe burst. Then we identify the location of the burst point using a hydraulic model. The method is prototyped on a transportation pipeline in Guangzhou, China and tested with one-year historical records. The detection system correctly identified all the bursts and the alarm rate is acceptable for the system inspectors (average: two alarms/month). The burst location is identified within the acceptable limits of accuracy.https://www.mdpi.com/2073-4441/10/12/1727burst detectionrisk functionDempster–Shafer theoryburst localization |
collection |
DOAJ |
language |
English |
format |
Article |
sources |
DOAJ |
author |
Weiping Cheng Hongji Fang Gang Xu Meijun Chen |
spellingShingle |
Weiping Cheng Hongji Fang Gang Xu Meijun Chen Using SCADA to Detect and Locate Bursts in a Long-Distance Water Pipeline Water burst detection risk function Dempster–Shafer theory burst localization |
author_facet |
Weiping Cheng Hongji Fang Gang Xu Meijun Chen |
author_sort |
Weiping Cheng |
title |
Using SCADA to Detect and Locate Bursts in a Long-Distance Water Pipeline |
title_short |
Using SCADA to Detect and Locate Bursts in a Long-Distance Water Pipeline |
title_full |
Using SCADA to Detect and Locate Bursts in a Long-Distance Water Pipeline |
title_fullStr |
Using SCADA to Detect and Locate Bursts in a Long-Distance Water Pipeline |
title_full_unstemmed |
Using SCADA to Detect and Locate Bursts in a Long-Distance Water Pipeline |
title_sort |
using scada to detect and locate bursts in a long-distance water pipeline |
publisher |
MDPI AG |
series |
Water |
issn |
2073-4441 |
publishDate |
2018-11-01 |
description |
Pipe bursting is a serious problem for water supply systems. We propose a two-step burst detection and localization method for a long-distance water transportation pipeline. First, we use the Dempster⁻Shafer theory, an effective inference method for processing uncertain information, and combine two risk functions to identify a pipe burst. Then we identify the location of the burst point using a hydraulic model. The method is prototyped on a transportation pipeline in Guangzhou, China and tested with one-year historical records. The detection system correctly identified all the bursts and the alarm rate is acceptable for the system inspectors (average: two alarms/month). The burst location is identified within the acceptable limits of accuracy. |
topic |
burst detection risk function Dempster–Shafer theory burst localization |
url |
https://www.mdpi.com/2073-4441/10/12/1727 |
work_keys_str_mv |
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_version_ |
1725647363195797504 |