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
相关论文
共 50 条
  • [21] Employment of the Inverse Transient Analysis to Leakage Detection in Water Distribution Networks.
    Miszta-Kruk, Katarzyna
    OCHRONA SRODOWISKA, 2016, 38 (01): : 39 - 43
  • [22] An integrated detection and location model for leakages in liquid pipelines
    Liu, Cuiwei
    Li, Yuxing
    Xu, Minghai
    JOURNAL OF PETROLEUM SCIENCE AND ENGINEERING, 2019, 175 : 852 - 867
  • [23] A Review on Current Technologies and Future Direction of Water Leakage Detection in Water Distribution Network
    Islam, Mohammed Rezwanul
    Azam, Sami
    Shanmugam, Bharanidharan
    Mathur, Deepika
    IEEE ACCESS, 2022, 10 : 107177 - 107201
  • [24] A CALCULATION MODEL FOR LEAK DETECTION AND LOCATION OF SINGLE PIPELINE WITH TWO LEAKS
    Diao, Xu
    Jiang, Juncheng
    Ni, Lei
    Pan, Yong
    Chen, Qiang
    PROCEEDINGS OF THE 12TH INTERNATIONAL PIPELINE CONFERENCE, 2018, VOL 3, 2018,
  • [25] A graph partitioning algorithm for leak detection in water distribution networks
    Rajeswaran, Aravind
    Narasimhan, Sridharakumar
    Narasimhan, Shankar
    COMPUTERS & CHEMICAL ENGINEERING, 2018, 108 : 11 - 23
  • [26] SECTORIZATION AND ANALYTICAL LEAKS LOCALIZATION IN THE H2OLEAK PROJECT: CLUSTERING-BASED SERVICES FOR SUPPORTING WATER DISTRIBUTION NETWORKS MANAGEMENT
    Candelieri, Antonio
    Messina, Enza
    ENVIRONMENTAL ENGINEERING AND MANAGEMENT JOURNAL, 2012, 11 (05): : 953 - 962
  • [27] Integrated Satellite-Ground Variational Quantum Sensing Networks
    Khalid, Uman
    Ulum, Muhammad Shohibul
    Win, Moe Z.
    Shin, Hyundong
    IEEE COMMUNICATIONS MAGAZINE, 2024, 62 (10) : 20 - 27
  • [28] Integrated Sensing and Communications (ISAC) for Vehicular Communication Networks (VCN)
    Cheng, Xiang
    Duan, Dongliang
    Gao, Shijian
    Yang, Liuqing
    IEEE INTERNET OF THINGS JOURNAL, 2022, 9 (23) : 23441 - 23451
  • [29] On-Line Leakage Detection in Buried Tap Water Distribution Pipes Using Distributed Temperature Sensing
    Wang, Qiang
    Gu, Xiaohong
    Zhang, Zhiwang
    Long, Zhihong
    Zhao, Ya
    JOURNAL OF PIPELINE SYSTEMS ENGINEERING AND PRACTICE, 2022, 13 (02)
  • [30] Leak Signature Space: An Original Representation for Robust Leak Location in Water Distribution Networks
    Casillas, Myrna V.
    Garza-Castanon, Luis E.
    Puig, Vicenc
    Vargas-Martinez, Adriana
    WATER, 2015, 7 (03): : 1129 - 1148