Basic Tasks for Knowledge Based Supervision in Process Control

Autores
Acosta, Gerardo Gabriel; Alonso Gonzalez, Carlos; Pulido, Belarmino
Año de publicación
2001
Idioma
inglés
Tipo de recurso
artículo
Estado
versión publicada
Descripción
A new tasks taxonomy for knowledge-based global supervision (GS) of continuous industrial processes is introduced in this work. Possible required tasks are specified together with the analysis of their dimensions, which should be useful in the selection of the final capabilities of supervision. Moreover, these dimensions would help end-users and designers when comparing different systems. Several methodologies based on concepts such as generic task, generic operation or heuristic classification have been proposed to transform knowledge-based system (KBS) development in a systematic knowledge engineering activity. These approaches have been quite successful in domains such as medicine or mineral prospecting, identifying a large number of tasks that experts in the domain articulate to solve the problem. However, this was not the case in the process control area. The selection of tasks and their capabilities is the first step to be taken, even before choosing a KBS analysis and design methodology. Authors found a lack of facilities to do this selection in the aforementioned approaches when they tried to develop a global supervision tool in a beet sugar factory in Spain. Hence, this article describes an attempt to fill this gap. Moreover, it shows how this taxonomy supported the analysis and design stages of a supervision tool in the mentioned industrial application.
Fil: Acosta, Gerardo Gabriel. Universidad Nacional del Centro de la Provincia de Buenos Aires; Argentina. Consejo Nacional de Investigaciones Científicas y Técnicas. Centro Científico Tecnológico Conicet - Tandil; Argentina
Fil: Alonso Gonzalez, Carlos. Universidad de Valladolid; España
Fil: Pulido, Belarmino. Universidad de Valladolid; España
Materia
KNOWLEDGE-BASED SYSTEMS
PLANT-WIDE SUPERVISION
PROCESS CONTROL
TASK TAXONOMY
Nivel de accesibilidad
acceso abierto
Condiciones de uso
https://creativecommons.org/licenses/by-nc-sa/2.5/ar/
Repositorio
CONICET Digital (CONICET)
Institución
Consejo Nacional de Investigaciones Científicas y Técnicas
OAI Identificador
oai:ri.conicet.gov.ar:11336/128618
Acceder
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network_acronym_str CONICETDig
repository_id_str 3498
network_name_str CONICET Digital (CONICET)
spelling Basic Tasks for Knowledge Based Supervision in Process ControlAcosta, Gerardo GabrielAlonso Gonzalez, CarlosPulido, BelarminoKNOWLEDGE-BASED SYSTEMSPLANT-WIDE SUPERVISIONPROCESS CONTROLTASK TAXONOMYhttps://purl.org/becyt/ford/2.4https://purl.org/becyt/ford/2A new tasks taxonomy for knowledge-based global supervision (GS) of continuous industrial processes is introduced in this work. Possible required tasks are specified together with the analysis of their dimensions, which should be useful in the selection of the final capabilities of supervision. Moreover, these dimensions would help end-users and designers when comparing different systems. Several methodologies based on concepts such as generic task, generic operation or heuristic classification have been proposed to transform knowledge-based system (KBS) development in a systematic knowledge engineering activity. These approaches have been quite successful in domains such as medicine or mineral prospecting, identifying a large number of tasks that experts in the domain articulate to solve the problem. However, this was not the case in the process control area. The selection of tasks and their capabilities is the first step to be taken, even before choosing a KBS analysis and design methodology. Authors found a lack of facilities to do this selection in the aforementioned approaches when they tried to develop a global supervision tool in a beet sugar factory in Spain. Hence, this article describes an attempt to fill this gap. Moreover, it shows how this taxonomy supported the analysis and design stages of a supervision tool in the mentioned industrial application.Fil: Acosta, Gerardo Gabriel. Universidad Nacional del Centro de la Provincia de Buenos Aires; Argentina. Consejo Nacional de Investigaciones Científicas y Técnicas. Centro Científico Tecnológico Conicet - Tandil; ArgentinaFil: Alonso Gonzalez, Carlos. Universidad de Valladolid; EspañaFil: Pulido, Belarmino. Universidad de Valladolid; EspañaPergamon-Elsevier Science Ltd2001-08info:eu-repo/semantics/articleinfo:eu-repo/semantics/publishedVersionhttp://purl.org/coar/resource_type/c_6501info:ar-repo/semantics/articuloapplication/pdfapplication/pdfhttp://hdl.handle.net/11336/128618Acosta, Gerardo Gabriel; Alonso Gonzalez, Carlos; Pulido, Belarmino; Basic Tasks for Knowledge Based Supervision in Process Control; Pergamon-Elsevier Science Ltd; Engineering Applications Of Artificial Intelligence; 14; 4; 8-2001; 441-4550952-1976CONICET DigitalCONICETenginfo:eu-repo/semantics/altIdentifier/url/https://www.sciencedirect.com/science/article/abs/pii/S0952197601000173info:eu-repo/semantics/altIdentifier/doi/10.1016/S0952-1976(01)00017-3info:eu-repo/semantics/openAccesshttps://creativecommons.org/licenses/by-nc-sa/2.5/ar/reponame:CONICET Digital (CONICET)instname:Consejo Nacional de Investigaciones Científicas y Técnicas2025-09-29T10:15:00Zoai:ri.conicet.gov.ar:11336/128618instacron:CONICETInstitucionalhttp://ri.conicet.gov.ar/Organismo científico-tecnológicoNo correspondehttp://ri.conicet.gov.ar/oai/requestdasensio@conicet.gov.ar; lcarlino@conicet.gov.arArgentinaNo correspondeNo correspondeNo correspondeopendoar:34982025-09-29 10:15:00.882CONICET Digital (CONICET) - Consejo Nacional de Investigaciones Científicas y Técnicasfalse
dc.title.none.fl_str_mv Basic Tasks for Knowledge Based Supervision in Process Control
title Basic Tasks for Knowledge Based Supervision in Process Control
spellingShingle Basic Tasks for Knowledge Based Supervision in Process Control
Acosta, Gerardo Gabriel
KNOWLEDGE-BASED SYSTEMS
PLANT-WIDE SUPERVISION
PROCESS CONTROL
TASK TAXONOMY
title_short Basic Tasks for Knowledge Based Supervision in Process Control
title_full Basic Tasks for Knowledge Based Supervision in Process Control
title_fullStr Basic Tasks for Knowledge Based Supervision in Process Control
title_full_unstemmed Basic Tasks for Knowledge Based Supervision in Process Control
title_sort Basic Tasks for Knowledge Based Supervision in Process Control
dc.creator.none.fl_str_mv Acosta, Gerardo Gabriel
Alonso Gonzalez, Carlos
Pulido, Belarmino
author Acosta, Gerardo Gabriel
author_facet Acosta, Gerardo Gabriel
Alonso Gonzalez, Carlos
Pulido, Belarmino
author_role author
author2 Alonso Gonzalez, Carlos
Pulido, Belarmino
author2_role author
author
dc.subject.none.fl_str_mv KNOWLEDGE-BASED SYSTEMS
PLANT-WIDE SUPERVISION
PROCESS CONTROL
TASK TAXONOMY
topic KNOWLEDGE-BASED SYSTEMS
PLANT-WIDE SUPERVISION
PROCESS CONTROL
TASK TAXONOMY
purl_subject.fl_str_mv https://purl.org/becyt/ford/2.4
https://purl.org/becyt/ford/2
dc.description.none.fl_txt_mv A new tasks taxonomy for knowledge-based global supervision (GS) of continuous industrial processes is introduced in this work. Possible required tasks are specified together with the analysis of their dimensions, which should be useful in the selection of the final capabilities of supervision. Moreover, these dimensions would help end-users and designers when comparing different systems. Several methodologies based on concepts such as generic task, generic operation or heuristic classification have been proposed to transform knowledge-based system (KBS) development in a systematic knowledge engineering activity. These approaches have been quite successful in domains such as medicine or mineral prospecting, identifying a large number of tasks that experts in the domain articulate to solve the problem. However, this was not the case in the process control area. The selection of tasks and their capabilities is the first step to be taken, even before choosing a KBS analysis and design methodology. Authors found a lack of facilities to do this selection in the aforementioned approaches when they tried to develop a global supervision tool in a beet sugar factory in Spain. Hence, this article describes an attempt to fill this gap. Moreover, it shows how this taxonomy supported the analysis and design stages of a supervision tool in the mentioned industrial application.
Fil: Acosta, Gerardo Gabriel. Universidad Nacional del Centro de la Provincia de Buenos Aires; Argentina. Consejo Nacional de Investigaciones Científicas y Técnicas. Centro Científico Tecnológico Conicet - Tandil; Argentina
Fil: Alonso Gonzalez, Carlos. Universidad de Valladolid; España
Fil: Pulido, Belarmino. Universidad de Valladolid; España
description A new tasks taxonomy for knowledge-based global supervision (GS) of continuous industrial processes is introduced in this work. Possible required tasks are specified together with the analysis of their dimensions, which should be useful in the selection of the final capabilities of supervision. Moreover, these dimensions would help end-users and designers when comparing different systems. Several methodologies based on concepts such as generic task, generic operation or heuristic classification have been proposed to transform knowledge-based system (KBS) development in a systematic knowledge engineering activity. These approaches have been quite successful in domains such as medicine or mineral prospecting, identifying a large number of tasks that experts in the domain articulate to solve the problem. However, this was not the case in the process control area. The selection of tasks and their capabilities is the first step to be taken, even before choosing a KBS analysis and design methodology. Authors found a lack of facilities to do this selection in the aforementioned approaches when they tried to develop a global supervision tool in a beet sugar factory in Spain. Hence, this article describes an attempt to fill this gap. Moreover, it shows how this taxonomy supported the analysis and design stages of a supervision tool in the mentioned industrial application.
publishDate 2001
dc.date.none.fl_str_mv 2001-08
dc.type.none.fl_str_mv info:eu-repo/semantics/article
info:eu-repo/semantics/publishedVersion
http://purl.org/coar/resource_type/c_6501
info:ar-repo/semantics/articulo
format article
status_str publishedVersion
dc.identifier.none.fl_str_mv http://hdl.handle.net/11336/128618
Acosta, Gerardo Gabriel; Alonso Gonzalez, Carlos; Pulido, Belarmino; Basic Tasks for Knowledge Based Supervision in Process Control; Pergamon-Elsevier Science Ltd; Engineering Applications Of Artificial Intelligence; 14; 4; 8-2001; 441-455
0952-1976
CONICET Digital
CONICET
url http://hdl.handle.net/11336/128618
identifier_str_mv Acosta, Gerardo Gabriel; Alonso Gonzalez, Carlos; Pulido, Belarmino; Basic Tasks for Knowledge Based Supervision in Process Control; Pergamon-Elsevier Science Ltd; Engineering Applications Of Artificial Intelligence; 14; 4; 8-2001; 441-455
0952-1976
CONICET Digital
CONICET
dc.language.none.fl_str_mv eng
language eng
dc.relation.none.fl_str_mv info:eu-repo/semantics/altIdentifier/url/https://www.sciencedirect.com/science/article/abs/pii/S0952197601000173
info:eu-repo/semantics/altIdentifier/doi/10.1016/S0952-1976(01)00017-3
dc.rights.none.fl_str_mv info:eu-repo/semantics/openAccess
https://creativecommons.org/licenses/by-nc-sa/2.5/ar/
eu_rights_str_mv openAccess
rights_invalid_str_mv https://creativecommons.org/licenses/by-nc-sa/2.5/ar/
dc.format.none.fl_str_mv application/pdf
application/pdf
dc.publisher.none.fl_str_mv Pergamon-Elsevier Science Ltd
publisher.none.fl_str_mv Pergamon-Elsevier Science Ltd
dc.source.none.fl_str_mv reponame:CONICET Digital (CONICET)
instname:Consejo Nacional de Investigaciones Científicas y Técnicas
reponame_str CONICET Digital (CONICET)
collection CONICET Digital (CONICET)
instname_str Consejo Nacional de Investigaciones Científicas y Técnicas
repository.name.fl_str_mv CONICET Digital (CONICET) - Consejo Nacional de Investigaciones Científicas y Técnicas
repository.mail.fl_str_mv dasensio@conicet.gov.ar; lcarlino@conicet.gov.ar
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score 13.070432

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