Equipment and Operations Automation in Mining: A Review

Producción científica: Review articlerevisión exhaustiva

34 Citas (Scopus)

Resumen

The mining industry is undergoing a transformative shift driven by the rapid advancement and adoption of automation technologies. This paper provides a comprehensive overview of the current state of automation in mining, examining the technological advancements, their applications, and the prospects of automation in this critical industry. A key focus of this paper is the impact of automation on the safety and efficiency of mining operations. Highlighting the successful implementation of Automated Haul Truck Systems (AHSs) in surface mining. Additionally, this paper explores the development of automation in underground mining and its challenges, particularly limitations in communication and localization, which hinder the development and deployment of fully autonomous systems. It also provides an exploration of the challenges associated with widespread automation adoption in mining, including high initial investment costs, concerns about job displacement, and the need for specialized skills and training. Looking toward future advancements in enabling technologies will be critical for furthering automation in mining. Machine learning and AI will play an increasingly critical role in intelligent automation, enabling autonomous systems to adapt to dynamic environments, optimize processes, and make informed decisions. This paper provides a look into human–robot collaboration in the future of mining. As the industry transitions toward greater automation, it is essential to consider the evolving roles of human workers to foster a collaborative work environment. This involves prioritizing human safety, providing adequate training, and addressing concerns about job displacement to ensure a smooth transition toward a more automated future.

Idioma originalEnglish
Número de artículo713
PublicaciónMachines
Volumen12
N.º10
DOI
EstadoPublished - oct 2024

Nota bibliográfica

Publisher Copyright:
© 2024 by the authors.

Financiación

This research was partially funded over a number of years by the following sources (a) the Central Appalachian Regional Education and Research Center (NIOSH/CDC) grant 6T42OH010278-12-07 (b) the NIOSH/CDC BAA grant 75D30123C17307 (c) the Alpha Foundation for the Improvement of Mine Safety and Health grant AFC820-68.

FinanciadoresNúmero del financiador
National Institute for Occupational Safety and Health
Central Appalachian Regional Education and Research Center
Centers for Disease Control and Prevention6T42OH010278-12-07, 75D30123C17307
Alpha Foundation For The Improvement of Mine Safety and Health, Inc.AFC820-68

    ASJC Scopus subject areas

    • Control and Systems Engineering
    • Computer Science (miscellaneous)
    • Mechanical Engineering
    • Control and Optimization
    • Industrial and Manufacturing Engineering
    • Electrical and Electronic Engineering

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