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Artificial Intelligence, Machine Learning, and Autonomous Technologies in Mining Industry

机译:采矿业的人工智能,机器学习和自主技术

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摘要

The implementation of artificial intelligence (AI), machine learning, and autonomous technologies in the mining industry started about a decade ago with autonomous trucks. Artificial intelligence, machine learning, and autonomous technologies provide many economic benefits for the mining industry through cost reduction, efficiency, and improving productivity, reducing exposure of workers to hazardous conditions, continuous production, and improved safety. However, the implementation of these technologies has faced economic, financial, technological, workforce, and social challenges. This article discusses the current status of AI, machine learning, and autonomous technologies implementation in the mining industry and highlights potential areas of future application. The article presents the results of interviews with some of the stakeholders in the industry and what their perceptions are about the threats, challenges, benefits, and potential impacts of these advanced technologies. The article also presents their views on the future of these technologies and what are some of the steps needed for successful implementation of these technologies in this sector.
机译:大约十年前,自动驾驶卡车开始在采矿业中实施人工智能(AI),机器学习和自动驾驶技术。人工智能,机器学习和自主技术通过降低成本,提高效率和提高生产率,减少工人在危险条件下的暴露,持续生产和提高安全性,为采矿业带来了许多经济利益。但是,这些技术的实施面临经济,金融,技术,劳动力和社会挑战。本文讨论了采矿业中AI,机器学习和自主技术实施的当前状态,并重点介绍了未来应用的潜在领域。本文介绍了与行业中一些利益相关者进行访谈的结果,以及他们对这些先进技术的威胁​​,挑战,利益和潜在影响的看法。本文还提出了他们对这些技术的未来的看法,以及在该领域成功实施这些技术需要采取哪些步骤。

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