Integrated sensing technologies for detection and location of leaks in water distribution networks

被引:0
作者
Hawari, Alaa [1 ]
Khader, Mohammad [1 ]
Hirzallah, Walaa [1 ]
Zayed, Tarek [2 ]
Moselhi, Osama [2 ]
机构
[1] Qatar Univ, Dept Civil & Architectural Engn, POB 2713, Doha, Qatar
[2] Concordia Univ, Dept Bldg Civil & Environm Engn, Montreal, PQ, Canada
来源
WATER SCIENCE AND TECHNOLOGY-WATER SUPPLY | 2017年 / 17卷 / 06期
关键词
ground penetrating radar; non-destructive; thermography; water leakage; water pipelines; GROUND-PENETRATING RADAR; LIQUID PIPELINES; PIPES; LOCALIZATION; VALIDATION; SIMULATION; SYSTEMS; IMAGES; SENSOR; NOISE;
D O I
10.2166/ws.2017.044
中图分类号
X [环境科学、安全科学];
学科分类号
08 ; 0830 ;
摘要
Water distribution networks (WDNs) are infrastructure systems that have high socioeconomic values, for which efficient operation and management are required to ensure minimal amounts of waste which can be represented in the form of leaks. Leak detection is considered as one of the challenges faced by municipalities operating WDNs because it either involves shutting down the system or requires using expensive equipment and technologies. In this paper, a novel noninvasive and nondestructive methodology for detecting leaks in water pipes was tested. Ground penetrating radar was used for accurate determination of pipe location, followed by infrared (IR) thermographic imaging for determining the leak location using four different operating conditions. Results were statistically analyzed using analysis of variance and pairwise comparison methods. Several factors were found to affect the accuracy of the proposed methodology in predicting the leak location, namely, the characteristics of the studied surface (i.e. emissivity), the characteristics of the surrounding environment (i.e. ambient temperature and relative humidity), and the operating conditions of the IR camera (i.e. speed and height of the camera). The results obtained in this study have also shown that under high ambient temperatures and high relative humidity conditions, a higher speed of the IR camera would reduce the impact of noise on the collected thermal contrast and therefore, would give better leak location prediction results. The tested methodology proved the flexibility of the approach and the ability of accurately predicting the leak locations under different conditions.
引用
收藏
页码:1589 / 1601
页数:13
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