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001 978-3-319-50751-4
003 DE-He213
005 20210118145855.0
007 cr nn 008mamaa
008 170518s2017 gw | s |||| 0|eng d
020 _a9783319507514
_9978-3-319-50751-4
024 7 _a10.1007/978-3-319-50751-4
_2doi
050 4 _aTJ212-225
072 7 _aTJFM
_2bicssc
072 7 _aTEC004000
_2bisacsh
072 7 _aTJFM
_2thema
082 0 4 _a629.8
_223
245 1 0 _aReal-time Monitoring and Operational Control of Drinking-Water Systems
_h[electronic resource] /
_cedited by Vicenç Puig, Carlos Ocampo-Martínez, Ramon Pérez, Gabriela Cembrano, Joseba Quevedo, Teresa Escobet.
250 _a1st ed. 2017.
264 1 _aCham :
_bSpringer International Publishing :
_bImprint: Springer,
_c2017.
300 _aXXVI, 428 p. 169 illus., 121 illus. in color.
_bonline resource.
336 _atext
_btxt
_2rdacontent
337 _acomputer
_bc
_2rdamedia
338 _aonline resource
_bcr
_2rdacarrier
347 _atext file
_bPDF
_2rda
490 1 _aAdvances in Industrial Control,
_x1430-9491
505 0 _aIntroduction -- Real-Time Monitoring and Operational Control of Water Systems -- Part I: Modelling -- Modelling of Drinking Water Networks -- Parameter Estimation -- Nodal Demand Calibration -- Short-Term Demand Forecasting -- Part II: Monitoring -- Leak Monitoring -- Quality Monitoring -- Sensor Placement for Monitoring -- Data Validation and Reconstruction.-  Fault Diagnosis -- Part III: Operational Control -- Model Predictive Control of Transport Networks -- Model Predictive Control of Distribution Networks -- Stochastic Model Predictive Control -- Fault-Tolerance and Health-Aware Strategies -- Partitioning the Network into Subsystems -- Decentralized Model Predictive Control -- Part IV: Future Trends -- Data-Driven Evolutionary Game-Based Control -- Coordination between Regional and Metropolitan Networks -- Big Data Analytics and Knowledge Discovery.
520 _aThis book presents a set of approaches for the real-time monitoring and control of drinking-water networks based on advanced information and communication technologies. It shows the reader how to achieve significant improvements in efficiency in terms of water use, energy consumption, water loss minimization, and water quality guarantees. The methods and approaches presented are illustrated and have been applied using real-life pilot demonstrations based on the drinking-water network in Barcelona, Spain. The proposed approaches and tools cover: • decision-making support for real-time optimal control of water transport networks, explaining how stochastic model predictive control algorithms that take explicit account of uncertainties associated with energy prices and real demand allow the main flow and pressure actuators—pumping stations and pressure regulation valves—and intermediate storage tanks to be operated to meet demand using the most susta inable types of source and with minimum electricity costs; • decision-making support for monitoring water balance and distribution network quality in real time, implementing fault detection and diagnosis techniques and using information from hundreds of flow, pressure, and water-quality sensors together with hydraulic and quality-parameter-evolution models to detect and locate leaks in the network, possible breaches in water quality, and failures in sensors and/or actuators;  • consumer-demand prediction, based on smart metering techniques, producing detailed analyses and forecasts of consumption patterns, providing a customer communications service, and suggesting economic measures intended to promote more efficient use of water at the household level. Researchers and engineers working with drinking-water networks will find this a vital support in overcoming the problems associated with increased population, environmental sensitivities and regulation, aging infrastructures, energy requirements, and limited water sources. Advances in Industrial Control aims to report and encourage the transfer of technology in control engineering. The rapid development of control technology has an impact on all areas of the control discipline. The series offers an opportunity for researchers to present an extended exposition of new work in all aspects of industrial control.
650 0 _aControl engineering.
650 0 _aWater-supply.
650 0 _aComputer simulation.
650 1 4 _aControl and Systems Theory.
_0http://scigraph.springernature.com/things/product-market-codes/T19010
650 2 4 _aWater Industry/Water Technologies.
_0http://scigraph.springernature.com/things/product-market-codes/214000
650 2 4 _aSimulation and Modeling.
_0http://scigraph.springernature.com/things/product-market-codes/I19000
700 1 _aPuig, Vicenç.
_eeditor.
_4edt
_4http://id.loc.gov/vocabulary/relators/edt
700 1 _aOcampo-Martínez, Carlos.
_eeditor.
_4edt
_4http://id.loc.gov/vocabulary/relators/edt
700 1 _aPérez, Ramon.
_eeditor.
_4edt
_4http://id.loc.gov/vocabulary/relators/edt
700 1 _aCembrano, Gabriela.
_eeditor.
_4edt
_4http://id.loc.gov/vocabulary/relators/edt
700 1 _aQuevedo, Joseba.
_eeditor.
_4edt
_4http://id.loc.gov/vocabulary/relators/edt
700 1 _aEscobet, Teresa.
_eeditor.
_4edt
_4http://id.loc.gov/vocabulary/relators/edt
710 2 _aSpringerLink (Online service)
773 0 _tSpringer eBooks
776 0 8 _iPrinted edition:
_z9783319507507
776 0 8 _iPrinted edition:
_z9783319507521
776 0 8 _iPrinted edition:
_z9783319844831
830 0 _aAdvances in Industrial Control,
_x1430-9491
856 4 0 _uhttps://doi.org/10.1007/978-3-319-50751-4
912 _aZDB-2-ENG
999 _c452098
_d452098
942 _cEB
506 _aAvailable to subscribing member institutions only. Доступно лише організаціям членам підписки.
506 _fOnline access from local network of NaUOA.
506 _fOnline access with authorization at https://link.springer.com/
506 _fОнлайн-доступ з локальної мережі НаУОА.
506 _fОнлайн доступ з авторизацією на https://link.springer.com/