Title
Optimal Sensor Deployment In A Large-Scale Complex Drinking Water Network: Comparisons Between A Rule-Based Decision Support System And Optimization Models
Keywords
Graph theory; Rule-based decision support system; Sensor deployment; Systems analysis; Water distribution system
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. © 2012 Elsevier Ltd.
Publication Date
8-10-2012
Publication Title
Computers and Chemical Engineering
Volume
43
Number of Pages
191-199
Document Type
Article
Personal Identifier
scopus
DOI Link
https://doi.org/10.1016/j.compchemeng.2012.03.012
Copyright Status
Unknown
Socpus ID
84861203502 (Scopus)
Source API URL
https://api.elsevier.com/content/abstract/scopus_id/84861203502
STARS Citation
Chang, Ni Bin; Prapinpongsanone, Natthaphon; and Ernest, Andrew, "Optimal Sensor Deployment In A Large-Scale Complex Drinking Water Network: Comparisons Between A Rule-Based Decision Support System And Optimization Models" (2012). Scopus Export 2010-2014. 4426.
https://stars.library.ucf.edu/scopus2010/4426