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

Faculty of Engineering

Research output: Chapter in Book/Report › Conference contribution › peer-review

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.

Original language	American English
Title of host publication	ICCBN 2021 - Proceedings of 2021 9th International Conference on Communications and Broadband Networking
Publisher	Association for Computing Machinery
Pages	27-33
Number of pages	7
ISBN (Electronic)	9781450389174
DOIs	https://doi.org/10.1145/3456415.3456421
State	Indexed - 25 Feb 2021
Event	9th International Conference on Communications and Broadband Networking, ICCBN 2021 - Virtual, Online, China Duration: 25 Feb 2021 → 27 Feb 2021

Publication series

Name	ACM International Conference Proceeding Series

Conference

Conference	9th International Conference on Communications and Broadband Networking, ICCBN 2021
Country/Territory	China
City	Virtual, Online
Period	25/02/21 → 27/02/21

Bibliographical note

Publisher Copyright:
© 2021 ACM.

Keywords

Blasting
Dashboard
Drilling
Mining companies
Power BI

Access to Document

10.1145/3456415.3456421

Cite this

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. In ICCBN 2021 - Proceedings of 2021 9th International Conference on Communications and Broadband Networking (pp. 27-33). Article 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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doi = "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. in 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).

Research output: Chapter in Book/Report › Conference contribution › peer-review

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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. In 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

Abstract

Publication series

Conference

Bibliographical note

Keywords

Access to Document

Fingerprint

Cite this