Risk assessment for early water leak detection

Wilmer P. Cantos, Ilan Juran, Silvia Tinelli

Research output: Chapter in Book/Report/Conference proceedingConference contribution

Abstract

This paper presents the automation of the current leak detection operators experience and practice. A historical data driven statistical based approach is validated for real time leak detection in water distribution systems (WDS) yielding a color coded leak detection indicators (Likelihood LI, Severity SI, and Risk RI), which are integrated and visualized in an operator's user-friendly interface. This paper presents four signature scenarios using 3-year synthetic data from Eau de Paris monitored data. The data simulates leak scenarios in the WDS of the experimental demonstration site of Lille University Campus, France. The research includes: (1) assessment of the current state of practice; (2) development of an intelligent network control and on-site monitoring (INCOM) prototype system for early network leak detection; and (3) demonstration and assessment of the INCOM prototype system through off-line scenarios simulations. It supports the system operator(s) in "intelligent" real-time system monitoring and leak detection for preventive and proactive rather than reactive water distribution system management.

Original languageEnglish (US)
Title of host publicationInternational Conference on Sustainable Infrastructure 2017
Subtitle of host publicationTechnology - Proceedings of the International Conference on Sustainable Infrastructure 2017
EditorsLucio Soibelman, Feniosky Pena-Mora
PublisherAmerican Society of Civil Engineers (ASCE)
Pages306-318
Number of pages13
ISBN (Electronic)9780784481219
DOIs
StatePublished - Jan 1 2017
Event2017 International Conference on Sustainable Infrastructure: Technology, ICSI 2017 - New York, United States
Duration: Oct 26 2017Oct 28 2017

Publication series

NameInternational Conference on Sustainable Infrastructure 2017: Technology - Proceedings of the International Conference on Sustainable Infrastructure 2017

Other

Other2017 International Conference on Sustainable Infrastructure: Technology, ICSI 2017
CountryUnited States
CityNew York
Period10/26/1710/28/17

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ASJC Scopus subject areas

  • Civil and Structural Engineering
  • Renewable Energy, Sustainability and the Environment
  • Management of Technology and Innovation
  • Safety, Risk, Reliability and Quality

Cite this

Cantos, W. P., Juran, I., & Tinelli, S. (2017). Risk assessment for early water leak detection. In L. Soibelman, & F. Pena-Mora (Eds.), International Conference on Sustainable Infrastructure 2017: Technology - Proceedings of the International Conference on Sustainable Infrastructure 2017 (pp. 306-318). (International Conference on Sustainable Infrastructure 2017: Technology - Proceedings of the International Conference on Sustainable Infrastructure 2017). American Society of Civil Engineers (ASCE). https://doi.org/10.1061/9780784481219.027