Resumen
This study is centered in the complexity of the data analysis for the management of the energetic efficiency in the productive processes of copper. For that the study is divided in two stages, in the first one, through a process of hierarchical analysis (AHP), it is stablished the importance of the characteristics to be considered for the gathering of information related to the energetic efficiency. In the second stage, it is analyzed how the energetic consumption results a critical variable in copper production, being the unitarian operation of the concentrator, the one of the most energetic consumption, together with its most important actives, the SAG and Ball mills. Consequently, the study standarized a model to obtain data in the concentrator, thus evaluate the different areas of the organization, according to the characteristics or qualities of the information.
Título traducido de la contribución | Facing the data analysis complexity for the energetic efficiency management at great copper mining, in Codelco Chuquicamata, Chile |
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Idioma original | Español |
Título de la publicación alojada | 2016 IEEE International Conference on Automatica, ICA-ACCA 2016 |
Editorial | Institute of Electrical and Electronics Engineers Inc. |
ISBN (versión digital) | 9781509011476 |
DOI | |
Estado | Publicada - 8 dic. 2016 |
Publicado de forma externa | Sí |
Evento | 2016 IEEE International Conference on Automatica, ICA-ACCA 2016 - Curico, Chile Duración: 19 oct. 2016 → 21 oct. 2016 |
Conferencia
Conferencia | 2016 IEEE International Conference on Automatica, ICA-ACCA 2016 |
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País/Territorio | Chile |
Ciudad | Curico |
Período | 19/10/16 → 21/10/16 |
Palabras clave
- Data analysis
- energy efficiency
- information management
- mining industry
Áreas temáticas de ASJC Scopus
- Instrumental
- Redes de ordenadores y comunicaciones
- Informática aplicada
- Hardware y arquitectura
- Ingeniería energética y tecnologías de la energía
- Control y optimización