Intelligent agents for the optimal operation of water distribution pumping stations

Water distribution systems have become increasingly complex and more difficult to operate. With ever increasing regulations and pressure over efficient quality service, the automation of control centers seems to be the objective of the next decades for water utilities. The field of Artificial Intell...

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Autores:
Hernández Cruz, Felipe
Tipo de recurso:
Fecha de publicación:
2010
Institución:
Universidad de los Andes
Repositorio:
Séneca: repositorio Uniandes
Idioma:
eng
OAI Identifier:
oai:repositorio.uniandes.edu.co:1992/11302
Acceso en línea:
http://hdl.handle.net/1992/11302
Palabra clave:
Inteligencia artificial - Investigaciones
Control en tiempo real - Investigaciones
Estaciones de bombeo - Modelos de simulación - Investigaciones
Ingeniería
Rights
openAccess
License
http://creativecommons.org/licenses/by-nc-nd/4.0/
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spelling Al consultar y hacer uso de este recurso, está aceptando las condiciones de uso establecidas por los autores.http://creativecommons.org/licenses/by-nc-nd/4.0/info:eu-repo/semantics/openAccesshttp://purl.org/coar/access_right/c_abf2Takahashi Rodríguez, Silviavirtual::6603-1Hernández Cruz, Felipe0171c014-c2af-43ac-85b4-c196a5301a0d6002018-09-28T07:52:47Z2018-09-28T07:52:47Z2010http://hdl.handle.net/1992/11302u433144.pdfinstname:Universidad de los Andesreponame:Repositorio Institucional Sénecarepourl:https://repositorio.uniandes.edu.co/Water distribution systems have become increasingly complex and more difficult to operate. With ever increasing regulations and pressure over efficient quality service, the automation of control centers seems to be the objective of the next decades for water utilities. The field of Artificial Intelligence has been exploited to develop online decision support systems that interact directly with pressure and flow sensors as well as with actuators such as valves and pumps. In this thesis, a number of control scenarios are presented, where intelligent agents could be used to further optimize control objectives and provide the operators with reliable tools to make a more efficient use of the available resources. One of these scenarios was selected to be studied further: the real-time operation of pumping stations. Prototype simulators and control agents were implemented in order to assess the potential benefits that these technologies promise. An incremental level of difficulty was used for the agent to first balance between energy and maintenance costs, then to detect and recover from failures, and finally to be able to cope with stochastic demands like those in real systems. As opposed to offline implementations, online agents must deal with a number of additional complications. However, the results show that Artificial Intelligence has indeed a great potential for water distribution automation, welcoming future developments to address this still adolescent research line.Magíster en Ingeniería de Sistemas y ComputaciónMaestría50 hojasapplication/pdfengUniandesMaestría en Ingeniería de Sistemas y ComputaciónFacultad de IngenieríaDepartamento de Ingeniería de Sistemas y Computacióninstname:Universidad de los Andesreponame:Repositorio Institucional SénecaIntelligent agents for the optimal operation of water distribution pumping stationsTrabajo de grado - Maestríainfo:eu-repo/semantics/masterThesishttp://purl.org/coar/version/c_970fb48d4fbd8a85Texthttp://purl.org/redcol/resource_type/TMInteligencia artificial - InvestigacionesControl en tiempo real - InvestigacionesEstaciones de bombeo - Modelos de simulación - InvestigacionesIngenieríaPublicationhttps://scholar.google.es/citations?user=x7gjZ04AAAAJvirtual::6603-10000-0001-7971-8979virtual::6603-1https://scienti.minciencias.gov.co/cvlac/visualizador/generarCurriculoCv.do?cod_rh=0000143898virtual::6603-17ab9a4e1-60f0-4e06-936b-39f2bf93d8a0virtual::6603-17ab9a4e1-60f0-4e06-936b-39f2bf93d8a0virtual::6603-1THUMBNAILIntelligent agents.pdf.jpgIntelligent agents.pdf.jpgIM Thumbnailimage/jpeg16310https://repositorio.uniandes.edu.co/bitstreams/03e0e99c-e4b3-48b6-8df2-2477b282ed00/downloada449aec040a421d037063dba8a8e0578MD55TEXTIntelligent agents.pdf.txtIntelligent agents.pdf.txtExtracted texttext/plain96165https://repositorio.uniandes.edu.co/bitstreams/a9c154d9-2344-4126-814d-bed2e879fe53/downloadae36aa867d4a58b4bd95ebf7fd55370aMD54ORIGINALIntelligent agents.pdfIntelligent agents.pdfapplication/pdf1758423https://repositorio.uniandes.edu.co/bitstreams/ce6df502-d0bd-4a54-b554-3818f39740d9/download99836317a4d5040ab02ddebe67dcd2d5MD511992/11302oai:repositorio.uniandes.edu.co:1992/113022024-03-13 13:13:39.641http://creativecommons.org/licenses/by-nc-nd/4.0/open.accesshttps://repositorio.uniandes.edu.coRepositorio institucional Sénecaadminrepositorio@uniandes.edu.co
dc.title.es_CO.fl_str_mv Intelligent agents for the optimal operation of water distribution pumping stations
title Intelligent agents for the optimal operation of water distribution pumping stations
spellingShingle Intelligent agents for the optimal operation of water distribution pumping stations
Inteligencia artificial - Investigaciones
Control en tiempo real - Investigaciones
Estaciones de bombeo - Modelos de simulación - Investigaciones
Ingeniería
title_short Intelligent agents for the optimal operation of water distribution pumping stations
title_full Intelligent agents for the optimal operation of water distribution pumping stations
title_fullStr Intelligent agents for the optimal operation of water distribution pumping stations
title_full_unstemmed Intelligent agents for the optimal operation of water distribution pumping stations
title_sort Intelligent agents for the optimal operation of water distribution pumping stations
dc.creator.fl_str_mv Hernández Cruz, Felipe
dc.contributor.advisor.none.fl_str_mv Takahashi Rodríguez, Silvia
dc.contributor.author.none.fl_str_mv Hernández Cruz, Felipe
dc.subject.keyword.es_CO.fl_str_mv Inteligencia artificial - Investigaciones
Control en tiempo real - Investigaciones
Estaciones de bombeo - Modelos de simulación - Investigaciones
topic Inteligencia artificial - Investigaciones
Control en tiempo real - Investigaciones
Estaciones de bombeo - Modelos de simulación - Investigaciones
Ingeniería
dc.subject.themes.none.fl_str_mv Ingeniería
description Water distribution systems have become increasingly complex and more difficult to operate. With ever increasing regulations and pressure over efficient quality service, the automation of control centers seems to be the objective of the next decades for water utilities. The field of Artificial Intelligence has been exploited to develop online decision support systems that interact directly with pressure and flow sensors as well as with actuators such as valves and pumps. In this thesis, a number of control scenarios are presented, where intelligent agents could be used to further optimize control objectives and provide the operators with reliable tools to make a more efficient use of the available resources. One of these scenarios was selected to be studied further: the real-time operation of pumping stations. Prototype simulators and control agents were implemented in order to assess the potential benefits that these technologies promise. An incremental level of difficulty was used for the agent to first balance between energy and maintenance costs, then to detect and recover from failures, and finally to be able to cope with stochastic demands like those in real systems. As opposed to offline implementations, online agents must deal with a number of additional complications. However, the results show that Artificial Intelligence has indeed a great potential for water distribution automation, welcoming future developments to address this still adolescent research line.
publishDate 2010
dc.date.issued.none.fl_str_mv 2010
dc.date.accessioned.none.fl_str_mv 2018-09-28T07:52:47Z
dc.date.available.none.fl_str_mv 2018-09-28T07:52:47Z
dc.type.spa.fl_str_mv Trabajo de grado - Maestría
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dc.format.extent.es_CO.fl_str_mv 50 hojas
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dc.publisher.program.es_CO.fl_str_mv Maestría en Ingeniería de Sistemas y Computación
dc.publisher.faculty.es_CO.fl_str_mv Facultad de Ingeniería
dc.publisher.department.es_CO.fl_str_mv Departamento de Ingeniería de Sistemas y Computación
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