Advances in automation and robotics: The state of the emerging future mining industry

Mabel Obosu, Samuel Frimpong
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Abstract

The mining industry is undergoing a transformative evolution driven by novel intelligent technologies to eliminate fatalities within the next two decades. The integration of automation, robotic systems, artificial intelligence (AI), machine learning (ML), Internet of Things (IoT), drones, remote monitoring, and other intelligent systems is expected to significantly improve safety, efficiency, and sustainability. Autonomous vehicles, equipped with sensors and navigation systems enable continuous operation in hazardous environments while reducing the risk of accidents and injuries. These intelligent systems are vital in preventing, managing, and responding to mine accidents and emergencies. They enhance precision and reliability in drilling, excavation, and material handling, leading to higher productivity. These technologies contribute to a safer mining industry by improving risk management, expediting emergency responses, and reducing the frequency and severity of mine accidents. This paper provides a comprehensive review of the recent developments and applications of intelligent systems within the mining sector. It also demonstrates how these novel intelligent systems would shape the mining industry of the future. The main novelty of this work includes the exploration of the benefits, challenges, and prospects associated with the adoption of these intelligent systems in the mining industry of the future.
自动化和机器人技术的进步:新兴的未来采矿业的现状
在新型智能技术的推动下,采矿业正在经历一场革命性的变革,以期在未来20年内消除死亡事故。自动化、机器人系统、人工智能(AI)、机器学习(ML)、物联网(IoT)、无人机、远程监控和其他智能系统的集成有望显著提高安全性、效率和可持续性。配备传感器和导航系统的自动驾驶汽车可以在危险环境中持续运行,同时降低事故和伤害的风险。这些智能系统在预防、管理和应对矿山事故和紧急情况方面至关重要。它们提高了钻井、挖掘和物料搬运的精度和可靠性,从而提高了生产率。这些技术通过改进风险管理、加快应急反应和减少矿山事故的频率和严重程度,有助于提高采矿业的安全性。本文全面回顾了智能系统在采矿部门的最新发展和应用。它还展示了这些新颖的智能系统将如何塑造未来的采矿业。这项工作的主要新颖之处包括探索在未来采矿业中采用这些智能系统的好处、挑战和前景。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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