Big data analysis for drilling and blasting in a mine in the central andes

Jhordan Mallqui Carhuamaca; Josue Jorim Tello Olivas; Byron Esterripa Aguilar; Carlos Enrique Alvarez Montalvan; Nabilt Moggiano Aburto; Luis Ruben Carrasco Contreras

doi:10.1145/3456415.3456421

Big data analysis for drilling and blasting in a mine in the central andes

Jhordan Mallqui Carhuamaca, Josue Jorim Tello Olivas, Byron Esterripa Aguilar, Carlos Enrique Alvarez Montalvan, Nabilt Moggiano Aburto, Luis Ruben Carrasco Contreras

Facultad de ingeniería

Producción científica: Libro o Capítulo del libro › Contribución a la conferencia › revisión exhaustiva

Resumen

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.

Idioma original	Inglés estadounidense
Título de la publicación alojada	ICCBN 2021 - Proceedings of 2021 9th International Conference on Communications and Broadband Networking
Editorial	Association for Computing Machinery
Páginas	27-33
-	7
ISBN (versión digital)	9781450389174
DOI	https://doi.org/10.1145/3456415.3456421
Estado	Indizado - 25 feb. 2021
Evento	9th International Conference on Communications and Broadband Networking, ICCBN 2021 - Virtual, Online, China Duración: 25 feb. 2021 → 27 feb. 2021

Serie de la publicación

Nombre	ACM International Conference Proceeding Series

Conferencia

Conferencia	9th International Conference on Communications and Broadband Networking, ICCBN 2021
País/Territorio	China
Ciudad	Virtual, Online
Período	25/02/21 → 27/02/21

Nota bibliográfica

Publisher Copyright:
© 2021 ACM.

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10.1145/3456415.3456421

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Mallqui Carhuamaca, J., Jorim Tello Olivas, J., Esterripa Aguilar, B., Enrique Alvarez Montalvan, C., Moggiano Aburto, N., & Ruben Carrasco Contreras, L. (2021). Big data analysis for drilling and blasting in a mine in the central andes. En ICCBN 2021 - Proceedings of 2021 9th International Conference on Communications and Broadband Networking (pp. 27-33). Artículo 3456421 (ACM International Conference Proceeding Series). Association for Computing Machinery. https://doi.org/10.1145/3456415.3456421

Mallqui Carhuamaca, Jhordan ; Jorim Tello Olivas, Josue ; Esterripa Aguilar, Byron et al. / Big data analysis for drilling and blasting in a mine in the central andes. ICCBN 2021 - Proceedings of 2021 9th International Conference on Communications and Broadband Networking. Association for Computing Machinery, 2021. pp. 27-33 (ACM International Conference Proceeding Series).

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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.",

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author = "{Mallqui Carhuamaca}, Jhordan and {Jorim Tello Olivas}, Josue and {Esterripa Aguilar}, Byron and {Enrique Alvarez Montalvan}, Carlos and {Moggiano Aburto}, Nabilt and {Ruben Carrasco Contreras}, Luis",

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Mallqui Carhuamaca, J, Jorim Tello Olivas, J, Esterripa Aguilar, B, Enrique Alvarez Montalvan, C , Moggiano Aburto, N & Ruben Carrasco Contreras, L 2021, Big data analysis for drilling and blasting in a mine in the central andes. En ICCBN 2021 - Proceedings of 2021 9th International Conference on Communications and Broadband Networking., 3456421, ACM International Conference Proceeding Series, Association for Computing Machinery, pp. 27-33, 9th International Conference on Communications and Broadband Networking, ICCBN 2021, Virtual, Online, China, 25/02/21. https://doi.org/10.1145/3456415.3456421

Big data analysis for drilling and blasting in a mine in the central andes. / Mallqui Carhuamaca, Jhordan; Jorim Tello Olivas, Josue; Esterripa Aguilar, Byron et al.
ICCBN 2021 - Proceedings of 2021 9th International Conference on Communications and Broadband Networking. Association for Computing Machinery, 2021. p. 27-33 3456421 (ACM International Conference Proceeding Series).

Producción científica: Libro o Capítulo del libro › Contribución a la conferencia › revisión exhaustiva

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AU - Mallqui Carhuamaca, Jhordan

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AU - Esterripa Aguilar, Byron

AU - Enrique Alvarez Montalvan, Carlos

AU - Moggiano Aburto, Nabilt

AU - Ruben Carrasco Contreras, Luis

PY - 2021/2/25

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AB - 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.

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Mallqui Carhuamaca J, Jorim Tello Olivas J, Esterripa Aguilar B, Enrique Alvarez Montalvan C , Moggiano Aburto N, Ruben Carrasco Contreras L. Big data analysis for drilling and blasting in a mine in the central andes. En ICCBN 2021 - Proceedings of 2021 9th International Conference on Communications and Broadband Networking. Association for Computing Machinery. 2021. p. 27-33. 3456421. (ACM International Conference Proceeding Series). doi: 10.1145/3456415.3456421

Big data analysis for drilling and blasting in a mine in the central andes

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