Article ID Journal Published Year Pages File Type
172836 Computers & Chemical Engineering 2012 9 Pages PDF
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.

► Rule-based decision support system. ► Sensor placement. ► Water distribution network.

Related Topics
Physical Sciences and Engineering Chemical Engineering Chemical Engineering (General)
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