Por favor, use este identificador para citar o enlazar este ítem: https://hdl.handle.net/20.500.12394/10175
Título: Big Data analysis for drilling and blasting in a mine in the Central Andes
Autor(es): Mallqui Carhuamaca, Jhordan Jean Pier
Tello Olivas, Josue Jorim
Esterripa Aguilar, Byron
Asesor: Alvarez Montalván, Carlos Enrique
Palabras clave: Minería de datos
Análisis de sistemas
Tecnología de la información
Editorial: Universidad Continental
Fecha de publicación: 2021
Fecha disponible: 26-oct-2021
Cita bibliográfica: Mallqui, J., Tello, J. y Esterripa, B. (2021). Big Data analysis for drilling and blasting in a mine in the Central Andes. Tesis para optar el título profesional de Ingeniero de Minas, Escuela Académico Profesional de Ingeniería de Minas, Universidad Continental, Huancayo, Perú.
DOI: https://doi.org/10.1145/3456415.3456421
Resumen/Abstract: Big Data applied to mining, contemplates the combi- nation of algorithms located in advanced technological tools to process a quantity of data, Power BI allows the interaction of dif- ferent 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.
Incluido en: https://dl.acm.org/doi/abs/10.1145/3456415.3456421
Extensión: p. 27-33
Acceso: Acceso abierto
Fuente: Universidad Continental
Repositorio Institucional - Continental
Aparece en las colecciones: Tesis

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