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dc.contributor.author
Acosta, Gerardo Gabriel
dc.contributor.author
Alonso Gonzalez, Carlos
dc.contributor.author
Pulido, Belarmino
dc.date.available
2021-03-19T12:16:17Z
dc.date.issued
2001-08
dc.identifier.citation
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
dc.identifier.issn
0952-1976
dc.identifier.uri
http://hdl.handle.net/11336/128618
dc.description.abstract
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.
dc.format
application/pdf
dc.language.iso
eng
dc.publisher
Pergamon-Elsevier Science Ltd
dc.rights
info:eu-repo/semantics/openAccess
dc.rights.uri
https://creativecommons.org/licenses/by-nc-sa/2.5/ar/
dc.subject
KNOWLEDGE-BASED SYSTEMS
dc.subject
PLANT-WIDE SUPERVISION
dc.subject
PROCESS CONTROL
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TASK TAXONOMY
dc.subject.classification
Ingeniería de Procesos Químicos
dc.subject.classification
Ingeniería Química
dc.subject.classification
INGENIERÍAS Y TECNOLOGÍAS
dc.title
Basic Tasks for Knowledge Based Supervision in Process Control
dc.type
info:eu-repo/semantics/article
dc.type
info:ar-repo/semantics/artículo
dc.type
info:eu-repo/semantics/publishedVersion
dc.date.updated
2021-03-15T14:42:31Z
dc.journal.volume
14
dc.journal.number
4
dc.journal.pagination
441-455
dc.journal.pais
Estados Unidos
dc.description.fil
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
dc.description.fil
Fil: Alonso Gonzalez, Carlos. Universidad de Valladolid; España
dc.description.fil
Fil: Pulido, Belarmino. Universidad de Valladolid; España
dc.journal.title
Engineering Applications Of Artificial Intelligence
dc.relation.alternativeid
info:eu-repo/semantics/altIdentifier/url/https://www.sciencedirect.com/science/article/abs/pii/S0952197601000173
dc.relation.alternativeid
info:eu-repo/semantics/altIdentifier/doi/http://dx.doi.org/10.1016/S0952-1976(01)00017-3
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