000782264 000__ 05020cam\a2200589Ii\4500 000782264 001__ 782264 000782264 005__ 20230306143408.0 000782264 006__ m\\\\\o\\d\\\\\\\\ 000782264 007__ cr\cn\nnnunnun 000782264 008__ 170523s2017\\\\sz\a\\\\ob\\\\001\0\eng\d 000782264 019__ $$a987838703 000782264 020__ $$a9783319507514$$q(electronic book) 000782264 020__ $$a3319507516$$q(electronic book) 000782264 020__ $$z9783319507507 000782264 020__ $$z3319507508 000782264 035__ $$aSP(OCoLC)ocn987790924 000782264 035__ $$aSP(OCoLC)987790924$$z(OCoLC)987838703 000782264 040__ $$aN$T$$beng$$erda$$epn$$cN$T$$dGW5XE$$dN$T$$dYDX$$dEBLCP$$dUAB 000782264 049__ $$aISEA 000782264 050_4 $$aTD353 000782264 08204 $$a628.1$$223 000782264 24500 $$aReal-time monitoring and operational control of drinking-water systems /$$cVicenç Puig, Carlos Ocampo-Martínez, Ramon Pérez, Gabriela Cembrano, Joseba Quevedo, Teresa Escobet, editors. 000782264 264_1 $$aCham, Switzerland :$$bSpringer,$$c2017. 000782264 300__ $$a1 online resource (xxvi, 428 pages) :$$billustrations. 000782264 336__ $$atext$$btxt$$2rdacontent 000782264 337__ $$acomputer$$bc$$2rdamedia 000782264 338__ $$aonline resource$$bcr$$2rdacarrier 000782264 4901_ $$aAdvances in industrial control,$$x1430-9491 000782264 504__ $$aIncludes bibliographical references and index. 000782264 5050_ $$aSeries Editors' Foreword; Drinking-Water Supply; Wastewater Disposal; Preface; Acknowledgements; Contents; List of Contributors; Abbreviations; Notation; 1 Real-Time Monitoring and Control in Water Systems; 1.1 The Water Need; 1.2 Water Cycle and Networks; 1.3 Real-Time Monitoring and Control; 1.4 State of the Art; 1.4.1 Real-Time Monitoring of Water Networks; 1.4.2 Real-Time Optimal Control of Water Networks; 1.5 Outline of the Book; References; 2 Case Studies; 2.1 Introduction; 2.2 Case Studies; 2.3 Water Transport Network; 2.4 Water Distribution Network; 2.5 Software; References 000782264 5058_ $$aPart I Modelling3 Modelling and Simulation of Drinking-Water Networks; 3.1 Introduction; 3.2 Problem Statement; 3.3 Proposed Approach; 3.3.1 Hydraulic Equations; 3.3.2 Water Consumptions; 3.3.3 Network Equations Solver; 3.3.4 Chlorine Decay Modelling; 3.3.5 Network Skeletonization; 3.4 Simulation and Results; 3.4.1 Matrix Model; 3.4.2 Skeletonization; 3.4.3 Simulation; 3.5 Conclusions; References; 4 Parameter Estimation: Definition and Sampling Design; 4.1 Introduction; 4.1.1 Identifiability; 4.1.2 Sampling Design; 4.2 Problem Statement; 4.3 Proposed Approach; 4.3.1 Parameter Definition 000782264 5058_ $$a4.3.2 Sampling Design4.4 Simulations and Results; 4.4.1 Exemplification; 4.4.2 Demand Components' Model for a Real Network; 4.5 Conclusions; References; 5 Parameter Estimation: Online Calibration; 5.1 Introduction; 5.1.1 Calibration Methods; 5.1.2 Uncertainty; 5.2 Problem Statement; 5.3 Proposed Approach; 5.4 Simulations and Results; 5.4.1 Academic Example; 5.4.2 Real DMA; 5.5 Conclusions; References; 6 Demand Forecasting for Real-Time Operational Control; 6.1 Introduction; 6.2 Problem Statement; 6.3 Proposed Approach; 6.3.1 Double-Seasonality ARIMA Models 000782264 5058_ $$a6.3.2 Daily Seasonality ARIMA Model with Hourly Pattern6.3.3 Basic Structural Model; 6.3.4 Exponential Smoothing Method; 6.3.5 Naïve Methods; 6.4 Simulations and Results; 6.5 Conclusions; References; Part II Real-Time Monitoring; 7 Leak Monitoring; 7.1 Introduction; 7.2 Problem Statement; 7.2.1 Model of the Network; 7.3 Proposed Approach; 7.3.1 Including Temporal Information; 7.4 Simulations and Results; 7.5 Conclusions; References; 8 Quality Monitoring; 8.1 Introduction; 8.2 Problem Statement; 8.3 Proposed Approach; 8.3.1 Chlorine Decay Model Calibration 000782264 5058_ $$a8.3.2 Quality Event Detection and Location8.4 Simulation and Results; 8.4.1 Calibration Case Study; 8.4.2 Abnormal Quality Detection and Isolation; 8.5 Conclusions; References; 9 Sensor Placement for Monitoring; 9.1 Introduction; 9.2 Problem Statement; 9.2.1 Model-Based Fault Diagnosis; 9.2.2 Optimal Sensor Placement; 9.3 Proposed Approach; 9.3.1 Clustering Analysis; 9.3.2 Structural Analysis Approach; 9.3.3 Sensitivity Analysis Approach; 9.4 Simulations and Results; 9.4.1 DMA Case Study; 9.4.2 DMA Network Modelling; 9.4.3 Clustering Analysis; 9.4.4 Structural Analysis Approach 000782264 506__ $$aAccess limited to authorized users. 000782264 588__ $$aOnline resource; title from PDF title page (SpringerLink, viewed May 24, 2017). 000782264 650_0 $$aWater-supply$$xAutomatic control. 000782264 650_0 $$aWater utilities. 000782264 650_0 $$aDrinking water. 000782264 650_0 $$aReal-time control. 000782264 7001_ $$aPuig, Vicenç,$$eeditor. 000782264 7001_ $$aOcampo-Martinez, Carlos,$$eeditor. 000782264 7001_ $$aPérez, Ramon,$$eeditor. 000782264 7001_ $$aCembrano, Gabriela,$$eeditor. 000782264 7001_ $$aQuev, Joseba,$$eeditor. 000782264 7001_ $$aEscobet, T.,$$eeditor. 000782264 77608 $$iPrint version:$$z3319507508$$z9783319507507$$w(OCoLC)962873664 000782264 830_0 $$aAdvances in industrial control. 000782264 852__ $$bebk 000782264 85640 $$3SpringerLink$$uhttps://univsouthin.idm.oclc.org/login?url=http://link.springer.com/10.1007/978-3-319-50751-4$$zOnline Access$$91397441.1 000782264 909CO $$ooai:library.usi.edu:782264$$pGLOBAL_SET 000782264 980__ $$aEBOOK 000782264 980__ $$aBIB 000782264 982__ $$aEbook 000782264 983__ $$aOnline 000782264 994__ $$a92$$bISE