Por favor, use este identificador para citar o enlazar este ítem:
https://hdl.handle.net/20.500.12394/9916
Título: | Big data analysis for drilling and blasting in a mine in the central andes |
Autor(es): | Mallqui Carhuamaca, Jhordan Tello Olivas, Josue Jorim Esterripa Aguilar, Byron Alvarez Montalvan, Carlos Enrique Moggiano Aburto, Nabilt Carrasco Contreras, Ruben Luis |
Palabras clave: | Minería de datos Análisis de sistemas Tecnología de la información |
Editorial: | Universidad Continental |
Fecha de publicación: | 2021 |
Fecha disponible: | 19-ago-2021 |
Cita bibliográfica: | Mallqui, J., Tello, J., Esterripa, B., Alvarez, C., Moggiano, N. y Carrasco, R. (2021). Big data analysis for drilling and blasting in a mine in the central andes. ACM International Conference Proceeding Series, Feb. https://doi.org/10.1145/3456415.3456421 |
DOI: | https://doi.org/10.1145/3456415.3456421 |
Resumen/Abstract: | Big Data applied to mining, contemplates the combination of algorithms located in advanced technological tools to process a quantity of data, Power BI allows the interaction of different data formats, for integration it has the support of Python Script. In this article, Big Data was applied to essential activities such as drilling and blasting, analyzing the parameters, standards, quantities, advances, the objective was to develop an integration system of a quantity of data for its analysis and interpretation, it will contribute to decision making in the mining operation. The development of Dashboard for interactive reportability based on indicators, will allow to visualize more efficiently and in a virtual way among the interested parties. Finally, the application of Big Data in the field of mining mainly in the treatment of its data will be the trend of the future which will allow to optimize the time and the functionality of the reports. |
Notas: | El texto completo de este trabajo no está disponible en el Repositorio Institucional-Continental por restricciones de la casa editorial donde ha sido publicado. |
Incluido en: | https://dl.acm.org/doi/abs/10.1145/3456415.3456421 |
metadata.dc.format.extent: | 27-33 páginas |
Acceso: | Acceso abierto |
Fuente: | Universidad Continental Repositorio Institucional - Continental |
Aparece en las colecciones: | Artículos de conferencias |
Ficheros en este ítem:
No hay ficheros asociados a este ítem.
Este ítem está sujeto a una licencia Creative Commons Licencia Creative Commons