Review of Water Leak Detection Methods in Smart Building Applications

被引:18
|
作者
Yussof, Nurfarah Anisah Mohd [1 ]
Ho, Hann Woei [1 ]
机构
[1] Univ Sains Malaysia, Sch Aerosp Engn, Engn Campus, Nibong Tebal 14300, Pulau Pinang, Malaysia
关键词
Leakage detection; artificial intelligence; smart buildings; BURST DETECTION; PIPELINES; NETWORK; TECHNOLOGIES; MANAGEMENT; LOCATION; GPR;
D O I
10.3390/buildings12101535
中图分类号
TU [建筑科学];
学科分类号
0813 ;
摘要
In recent years, the identification of water leak detection methods has entered a wide range of fields. Pipeline failures in water distribution networks lead to the loss of a considerable amount of high-quality water. Different monitoring methods are often used to identify the failing infrastructure, which is subsequently maintained. Increased pressures on a fast-expanding water supply network needs the development of better leak detection technologies, particularly for use in smart building applications. This paper offers a detailed examination of water leak detection methods, intending to determine the state-of-the-art approaches and make recommendations for future research. It is designed to demonstrate smart buildings, but it may also be utilized in another similar context. This review concludes that, despite prior achievements, there is still much room for improvement, particularly in the domain of real-time models for earlier leak detection methods in building automation. These models should enable the integration of leakage detection, evaluation, and control system that, with minimal human interaction, may be customized for efficient leakage detection in real-world circumstances.
引用
收藏
页数:27
相关论文
共 50 条
  • [1] Leak Detection in Smart Water Distribution Network
    Choudhary, Pooja
    Modi, Ankita
    Botre, B. A.
    Akbar, S. A.
    4TH INTERNATIONAL CONFERENCE ON EMERGING TECHNOLOGIES; MICRO TO NANO, 2019: (ETMN 2019), 2021, 2335
  • [2] Review of Water Leak Detection and Localization Methods through Hydrophone Technology
    Bakhtawar, Beenish
    Zayed, Tarek
    JOURNAL OF PIPELINE SYSTEMS ENGINEERING AND PRACTICE, 2021, 12 (04)
  • [3] Water Leak Detection: A Comprehensive Review of Methods, Challenges, and Future Directions
    Farah, Elias
    Shahrour, Isam
    WATER, 2024, 16 (20)
  • [4] A review of memory leak detection methods
    School of Computer Science and Technology, China University of Mining and Technology, Xuzhou, China
    J. Comput. Inf. Syst., 19 (8161-8168):
  • [5] Leak Detection Methods in Water Distribution Networks: A Comparative Survey on Artificial Intelligence Applications
    Kammoun, Maryam
    Kammoun, Amina
    Abid, Mohamed
    JOURNAL OF PIPELINE SYSTEMS ENGINEERING AND PRACTICE, 2022, 13 (03)
  • [6] Review and analysis of pipeline leak detection methods
    Korlapati, Naga Venkata Saidileep
    Khan, Faisal
    Noor, Quddus
    Mirza, Saadat
    Vaddiraju, Sreeram
    JOURNAL OF PIPELINE SCIENCE AND ENGINEERING, 2022, 2 (04):
  • [7] Review and analysis of pipeline leak detection methods
    Naga Venkata Saidileep Korlapat
    Faisal Khan
    Quddus Noor
    Saadat Mirza
    Sreeram Vaddiraju
    油气储运, 2023, 42 (01) : 8 - 8
  • [8] Leak Detection Methods-A Technical Review
    Ramadevi, R.
    Jaiganesh, J.
    Krishnamoorthy, N. R.
    ICCCE 2018, 2019, 500 : 125 - 139
  • [9] MEMS ultra low leak detection methods: a review
    Millar, Suzanne
    Desmulliez, Marc
    SENSOR REVIEW, 2009, 29 (04) : 339 - 344
  • [10] Building a Smart Water City: IoT Smart Water Technologies, Applications, and Future Directions
    Okoli, Nwakego Joy
    Kabaso, Boniface
    WATER, 2024, 16 (04)