Virtual sensors to improve on-line hydraulic model calibration

Daniel Goldsmith, Ami Preis, Michael Allen, Andrew J. Whittle

    Research output: Chapter in Book/Report/Conference proceedingConference proceedingpeer-review

    4 Citations (Scopus)

    Abstract

    A new approach for monitoring a water distribution system involving Virtual Sensors is presented. In this approach, wireless sensor nodes are permanently deployed within the distribution system, providing continuous, on-line hydraulic data that can be assimilated into hydraulic models. In addition, temporary nodes are deployed for short periods (one week) around the distribution network. A Virtual Sensor is implemented using a data imputation technique called Gaussian Process Regression, which combines the historical data collected by the temporary node with correlated data from a subset of permanent sensor nodes. Use of spatially-correlated data accounts for new trends in the data that do not appear in the historical data collected by the temporary node. An increase in the number of sensors (a combination of real and virtual) is important for reducing the ill-conditioned state of the hydraulic model calibration procedure. The technique is demonstrated as a proof-of-concept using data collected from the WaterWiSe@SG testbed in Singapore, and is shown to predict pressure data trends with an accuracy of 0.76 PSI RMSE after a six-week test.

    Original languageEnglish
    Title of host publicationWater Distribution Systems Analysis 2010
    Subtitle of host publicationProceedings of the 12th International Conference, WDSA 2010
    EditorsKevin E. Lansey, Christopher Y. Choi, Avi Ostfeld, Ian L. Pepper
    PublisherASCE
    Pages1349-1361
    Number of pages13
    ISBN (Print)9780784412039
    DOIs
    Publication statusPublished - 2012
    Event12th Annual International Conference on Water Distribution Systems Analysis 2010 - Tucson, AZ, United States
    Duration: 12 Sept 201015 Sept 2010

    Conference

    Conference12th Annual International Conference on Water Distribution Systems Analysis 2010
    Abbreviated titleWDSA 2010
    Country/TerritoryUnited States
    CityTucson, AZ
    Period12/09/1015/09/10

    Keywords

    • Data imputation
    • Gaussian Process Regression
    • hydraulic modeling
    • on-line operation

    ASJC Scopus subject areas

    • Water Science and Technology

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