Optimal sensor deployment in a large-scale complex drinking water network: Comparisons between a rule-based decision support system and optimization models

    Authors

    N. B. Chang; N. Prapinpongsanone;A. Ernest

    Comments

    Authors: contact us about adding a copy of your work at STARS@ucf.edu

    Abbreviated Journal Title

    Comput. Chem. Eng.

    Keywords

    Rule-based decision support system; Sensor deployment; Water; distribution system; Graph theory; Systems analysis; PLACEMENT; SECURITY; DESIGN; Computer Science, Interdisciplinary Applications; Engineering, Chemical

    Abstract

    Many models or algorithms have been suggested for sensor placement in the drinking water distribution networks, such as genetic algorithms, multiobjective optimization models, and heuristic methods. Because these models or algorithms have high computational demands, however, the requirement of expensive technical computing software is unavoidable. This study presents a rule-based decision support system (RBDSS) to analyze and generate a set of sensor placement locations and compares the performance against 10 optimization models based on four indexes. Our findings show that the RBDSS demands relatively lower computational time and still exhibits outstanding performance in terms of all our indexes when dealing with a large-scale complex drinking water network. (C) 2012 Elsevier Ltd. All rights reserved.

    Journal Title

    Computers & Chemical Engineering

    Volume

    43

    Publication Date

    1-1-2012

    Document Type

    Article

    Language

    English

    First Page

    191

    Last Page

    199

    WOS Identifier

    WOS:000306209600015

    ISSN

    0098-1354

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