Water pipeline failure detection using distributed relative pressure and temperature measurements and anomaly detection algorithms
Water pipeline failure detection using distributed relative pressure and temperature measurements and anomaly detection algorithms
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DOI：
10.1080/1573062x.2018.1424213
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发表时间：
2018-01-01
影响因子：
2.7
通讯作者：
Anthony, Carl
中科院分区：
文献类型：
--
作者：
Sadeghioon, Ali M.;Metje, Nicole;Anthony, Carl
本文介绍了一种新型输水管道泄漏检测方法的验证，该方法可应用于任何埋地加压流体管道。该检测方法基于非侵入性地安装在管道外部的相对压力传感器，并结合管壁和土壤之间的温差测量。此外，本文提出了一种最初为监控网站流量数据而开发的异常检测算法，该算法将泄漏事件与正常压力变化事件区分开来。它与基于固定阈值和移动平均值的两种更常用的方法进行了比较。新系统在为期 6 个月的现场试验中的验证表明，所有已知泄漏的识别准确率达到 98.45%，异常检测算法表现最佳，使该系统成为管道泄漏检测的真正竞争者。
This paper presents the validation of a novel leak detection method for water distribution pipelines, although it could be applied to any buried pressurized fluid flow pipe. The detection method is based on a relative pressure sensor attached non-invasively to the outside of the pipe combined with temperature difference measurements between the pipe wall and the soil. Moreover, this paper proposes an anomaly detection algorithm, originally developed for monitoring website traffic data, which differentiates a leak' event from normal' pressure change events. It is compared to two more commonly used methods based on a fixed threshold and a moving average. The validation of the new system in a field trial over a 6-month period showed that all the known leaks were identified with 98.45% accuracy, with the anomaly detection algorithm performing best, making this system a real contender for leak detection in pipes.