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Advanced analytics for modern mining

  • Diego Galar*
  • , Uday Kumar
  • *Autor correspondiente de este trabajo
  • Luleå University of Technology

Producción científica: Capítulo del libro/informe/acta de congresoCapítulorevisión exhaustiva

Resumen

Technology is growing very fast, and we are facing the Fourth Revolution in industry. Digital transformation has found its way in to many different traditional and modern industries. Digitalization and automation are two common words in mining these days. However, there are many challenges in the mining industry to reach the appropriate maturity level for Industry 4.0. Data collection systems, cloud-based storage, intelligent data architecture, creating online data hubs are some examples of digitalization challenges. Moreover, it is essential to use advanced analytics models applying artificial intelligence and machine learning models for automation, prediction, and optimization. Mine managers need an intelligent indigent virtual assistant to make better decisions and develop smart mines. This chapter some key components of intelligent mining and helps researchers understand Industry 4.0 in the mining context.

Idioma originalInglés
Título de la publicación alojadaAdvanced Analytics in Mining Engineering
Subtítulo de la publicación alojadaLeverage Advanced Analytics in Mining Industry to Make Better Business Decisions
EditorialSpringer International Publishing
Páginas23-54
Número de páginas32
ISBN (versión digital)9783030915896
ISBN (versión impresa)9783030915889
DOI
EstadoPublicada - 23 feb 2022

ODS de las Naciones Unidas

Este resultado contribuye a los siguientes Objetivos de Desarrollo Sostenible

  1. ODS 9: Industria, innovación e infraestructura
    ODS 9: Industria, innovación e infraestructura

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