2011 3rd International Conference on Computer Research and Development 2011
DOI: 10.1109/iccrd.2011.5763972
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Model calibration and system simulation from real time monitoring of water distribution networks

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Cited by 8 publications
(5 citation statements)
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“…The main characteristics of these systems are reported in Table 1. Each WDS has been simulated with the Epanet software, while model calibration has been performed with a genetic algorithm previously developed [37][38][39]. In particular, the demand pattern has been derived from SCADA (Supervisory Control and Data Acquisition) measurements and DMA monitoring data.…”
Section: Characteristics Of the Real Wdss Adopted For The Analysesmentioning
confidence: 99%
“…The main characteristics of these systems are reported in Table 1. Each WDS has been simulated with the Epanet software, while model calibration has been performed with a genetic algorithm previously developed [37][38][39]. In particular, the demand pattern has been derived from SCADA (Supervisory Control and Data Acquisition) measurements and DMA monitoring data.…”
Section: Characteristics Of the Real Wdss Adopted For The Analysesmentioning
confidence: 99%
“…In these last years, the rapid improvement in sensor technology and in data transfer and communication systems has greatly enhanced the activity of real-time control of water losses, although many problems remain unsolved: first of all, the possibility of identifying a leakage since its first formation [14].…”
Section: Literature Reviewmentioning
confidence: 99%
“…Information and Communication Technology (ICT) for efficient water resource management [13] uses sensors, network infrastructure, middleware, and control module to regulate the flow of water and save the resources in the environment. Model calibration [14] in real-time distributed water network system monitors the water pressure and flow in the water pipe system. The network and water flow parameters are transmitted through GPRS to the server.…”
Section: Proposed Mobile Middleware Application For Real-time Watmentioning
confidence: 99%