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

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• 作者：Ni-Bin Chang^a ; ^{nchang@mail.ucf.edu} ; Natthaphon Prapinpongsanone^a ; Andrew Ernest^b
• 关键词：Rule-based decision support system ; Sensor deployment ; Water distribution system ; Graph theory ; Systems analysis
• 刊名：Computers and Chemical Engineering
• 出版年：2012
• 期刊代码：35_00981354
• 类别：et
• 出版时间：10 August, 2012
• 卷：43
• 期：Complete
• 页码：191-199
• 文件大小：1279 K

摘要

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.