Title
Big data analysis for drilling and blasting in a mine in the central andes
Date Issued
25 February 2021
Access level
metadata only access
Resource Type
conference paper
Author(s)
Mallqui Carhuamaca, Jhordan
Tello Olivas, Josué Jorim
Esterripa Aguilar, Byron
Carrasco Contreras, Luis Ruben
Publisher(s)
Association for Computing Machinery
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.
Start page
27
End page
33
Language
English
OCDE Knowledge area
Telecomunicaciones
Subjects
Scopus EID
2-s2.0-85108139382
Resource of which it is part
ACM International Conference Proceeding Series
ISBN of the container
9781450389174
Conference
9th International Conference on Communications and Broadband Networking, ICCBN 2021 Virtual, Online 25 February 2021 through 27 February 2021
Sources of information:
Directorio de Producción Científica
Scopus