• DocumentCode
    3573123
  • Title

    Research on placement of water quality sensor in water distribution systems

  • Author

    Chengyu Hu ; Dijun Tian ; Xuesong Yan

  • Author_Institution
    Dept. of Comput. Sci., China Univ. of Geosci., Wuhan, China
  • fYear
    2014
  • Firstpage
    3584
  • Lastpage
    3587
  • Abstract
    Water quality sensor placement refers to the arrangement of water quality sensors in water distribution systems to test the contaminant. The optimization problem is essentially a kind of large scale combinatorial optimization problem. At present, many literatures come down to the problem of the set covering problem or maximum coverage. The former mainly consider the minimum number of sensors, while the latter is a major research on the optimal sensor arrangement. In this paper, we have comprehensively considered the characteristic of covering and the maximum set covering problem. The optimization goal is the maximization of detection likelihood and its optimal arrangement and to minimize the number of water quality sensor in the network. We have given the relationship between the detection likelihood and the number of water quality sensor so as to provide some technique support for the early warning and monitoring system.
  • Keywords
    alarm systems; combinatorial mathematics; maximum likelihood detection; optimisation; sensors; water quality; water supply; combinatorial optimization problem; contaminant; detection likelihood maximisation; early warning system; monitoring system; optimal sensor arrangement; optimization problem; water distribution systems; water quality sensor placement; Computer science; Educational institutions; Geology; Optimization; Planning; Water pollution; Water resources; placement; water distribution systems; water quality sensor;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Intelligent Control and Automation (WCICA), 2014 11th World Congress on
  • Type

    conf

  • DOI
    10.1109/WCICA.2014.7053312
  • Filename
    7053312