Big Data on Decision Making in Energetic Management of Copper Mining

Vista sencilla de ítem
dc.contributor.authorLagos, C
dc.contributor.authorCarrasco, R
dc.contributor.authorFuertes, G
dc.contributor.authorGutierrez, S
dc.contributor.authorSoto, I
dc.contributor.authorVargas, M
dc.date.accessioned2017-07-14T21:10:39Z
dc.date.available2017-07-14T21:10:39Z
dc.date.issued2017-02
dc.descriptionIndexado en: Web of Science; Scopus.es_CL
dc.description.abstractIt is proposed an analysis of the related variables with the energetic consumption in the process of concentrate of copper; specifically ball mills and SAG. The methodology considers the analysis of great volumes of data, which allows to identify the variables of interest (tonnage, temperature and power) to reach to an improvement plan in the energetic efficiency. The correct processing of the great volumen of data, previous imputation to the null data, not informed and out of range, coming from the milling process of copper, a decision support systems integrated, it allows to obtain clear and on line information for the decision making. As results it is establish that exist correlation between the energetic consumption of the Ball and SAG Mills, regarding the East, West temperature and winding. Nevertheless, it is not observed correlation between the energetic consumption of the Ball Mills and the SAG Mills, regarding to the tonnages of feed of SAG Mill. In consequence, From the experimental design, a similarity of behavior between two groups of different mills was determined in lines process. In addition, it was determined that there is a difference in energy consumption between the mills of the same group. This approach modifies the method presented in [1].(a)es_CL
dc.description.urihttp://www.univagora.ro/jour/index.php/ijccc/article/view/2784/1060
dc.identifier.citationINTERNATIONAL JOURNAL OF COMPUTERS COMMUNICATIONS & CONTROL, 12 (1):61-75; FEB 2017es_CL
dc.identifier.issn1841-9836
dc.identifier.otherhttp://dx.doi.org/10.15837/ijccc.2017.1.2784
dc.identifier.urihttp://repositorio.unab.cl/xmlui/handle/ria/3709
dc.language.isoenes_CL
dc.publisherCCC PUBL-AGORA UNIVes_CL
dc.subjectCopper mininges_CL
dc.subjectEnergetic efficiencyes_CL
dc.subjectBig dataes_CL
dc.subjectProcess managementes_CL
dc.titleBig Data on Decision Making in Energetic Management of Copper Mininges_CL
dc.typeArtículoes_CL
Archivos
Bloque original
Mostrando 1 - 1 de 1
Miniatura
Nombre:
Lagos_C_Big_Data_on_Decision.pdf
Tamaño:
679.34 KB
Formato:
Adobe Portable Document Format
Descripción:
TEXTO COMPLETO INGLES
Descargar
Bloque de licencias
Mostrando 1 - 1 de 1
No hay miniatura disponible
Nombre:
license.txt
Tamaño:
1.71 KB
Formato:
Item-specific license agreed upon to submission
Descripción:
Descargar
Colecciones
FIng - Artículos de Revista