Robust Meter Network for Water Distribution Pipe Burst Detection

被引:4
|
作者
Jung, Donghwi [1 ]
Kim, Joong Hoon [2 ]
机构
[1] Korea Univ, Res Ctr Disaster Prevent Sci & Technol, Anam Ro 145, Seoul 02841, South Korea
[2] Korea Univ, Sch Civil Environm & Architectural Engn, Anam Ro 145, Seoul 02841, South Korea
基金
新加坡国家研究基金会;
关键词
water distribution system; pipe burst detection; meter network; robustness; SAMPLING DESIGN; DISTRIBUTION-SYSTEMS; LEAKAGE DETECTION; MODEL; PLACEMENT; ALGORITHM;
D O I
10.3390/w9110820
中图分类号
X [环境科学、安全科学];
学科分类号
08 ; 0830 ;
摘要
A meter network is a set of meters installed throughout a water distribution system to measure system variables, such as the pipe flow rate and pressure. In the current hyper-connected world, meter networks are being exposed to meter failure conditions, such as malfunction of the meter's physical system and communication system failure. Therefore, a meter network's robustness should be secured for reliable provision of informative meter data. This paper introduces a multi-objective optimal meter placement model that maximizes the detection probability, minimizes false alarms, and maximizes the robustness of a meter network given a predefined number of meters. A meter network's robustness is defined as its ability to consistently provide quality data in the event of meter failure. Based on a single-meter failure simulation, a robustness indicator for the meter network is introduced and maximized as the third objective of the proposed model. The proposed model was applied to the Austin network to determine the independent placement of pipe flow and pressure meters with three or five available meters. The results showed that the proposed model is a useful tool for determining meter locations to secure high detectability and robustness.
引用
收藏
页数:15
相关论文
共 50 条
  • [1] Optimal meter placement for pipe burst detection in water distribution systems
    Hagos, Medhanie
    Jung, Donghwi
    Lansey, Kevin E.
    JOURNAL OF HYDROINFORMATICS, 2016, 18 (04) : 741 - 756
  • [2] Optimizing Sensor Placement and Quantity for Pipe Burst Detection in a Water Distribution Network
    Cheng, Weiping
    Chen, Yawei
    Xu, Gang
    JOURNAL OF WATER RESOURCES PLANNING AND MANAGEMENT, 2020, 146 (11)
  • [3] Optimal Meter Placements Based on Multiple Data-Driven Statistical Methods for Effective Pipe Burst Detection in Water Distribution System
    Kim, Sehyeong
    Jung, Donghwi
    PROCEEDINGS OF 7TH INTERNATIONAL CONFERENCE ON HARMONY SEARCH, SOFT COMPUTING AND APPLICATIONS (ICHSA 2022), 2022, 140 : 353 - 362
  • [4] Ensemble CNN Model for Effective Pipe Burst Detection in Water Distribution Systems
    Kim, Sehyeong
    Jun, Sanghoon
    Jung, Donghwi
    WATER RESOURCES MANAGEMENT, 2022, 36 (13) : 5049 - 5061
  • [5] Ensemble CNN Model for Effective Pipe Burst Detection in Water Distribution Systems
    Sehyeong Kim
    Sanghoon Jun
    Donghwi Jung
    Water Resources Management, 2022, 36 : 5049 - 5061
  • [6] Hybrid Statistical Process Control Method for Water Distribution Pipe Burst Detection
    Ahn, Jaehyun
    Jung, Donghwi
    JOURNAL OF WATER RESOURCES PLANNING AND MANAGEMENT, 2019, 145 (09)
  • [7] Study on Pipe Burst Detection Frame Based on Water Distribution Model and Monitoring System
    Cheng, Weiping
    Xu, Gang
    Fang, Hongji
    Zhao, Dandan
    WATER, 2019, 11 (07)
  • [8] Using Mechanical Reliability in Multiobjective Optimal Meter Placement for Pipe Burst Detection
    Jung, Donghwi
    Kim, Joong Hoon
    JOURNAL OF WATER RESOURCES PLANNING AND MANAGEMENT, 2018, 144 (07)
  • [9] Convolutional Neural Network for Burst Detection in Smart Water Distribution Systems
    Sanghoon Jun
    Kevin E. Lansey
    Water Resources Management, 2023, 37 : 3729 - 3743
  • [10] Convolutional Neural Network for Burst Detection in Smart Water Distribution Systems
    Jun, Sanghoon
    Lansey, Kevin E.
    WATER RESOURCES MANAGEMENT, 2023, 37 (09) : 3729 - 3743