Machine learning and artificial intelligence are the two fields of computer science dealing with the innovative idea of inducing smartness and intelligence in machines and automating complex tasks and operations through modern learning algorithms. While the rest of the operational fields have been diligent in developing new technologies, the mining industry has been lacking when it comes to applying these innovative methodologies to achieve operation autonomy with intelligence. However, this trend is beginning to change with a few researchers adopting the fields of machine learning and artificial intelligence to improve the existing technologies. This study was an attempt to review and analyze all the recent automation related work in every sector of the mining industry including mineral prospecting and exploration, mine planning, equipment selection, underground and surface equipment operation, drilling and blasting, mineral processing, etc., for establishing the existing frontiers of technological advancement. Shortcomings and challenges were identified within the current research work. Recommendations were provided to progress the existing technology by implementing deep learning, machine learning, and artificial intelligence for smart and intelligence-based evolution in the mining sector. With all of this innovative development and implementation of smart automation systems, the foundation for the mine of the future could be built, thus creating efficient, effective, and safer machines with sustainable mining operations.

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人工智能、机器学习和流程自动化：采矿业的现有知识前沿和前进方向

机器学习和人工智能是计算机科学的两个领域，涉及在机器中引入智能和智能以及通过现代学习算法自动执行复杂任务和操作的创新理念。虽然其他运营领域一直在努力开发新技术，但在应用这些创新方法以智能实现运营自主方面，采矿业一直缺乏。然而，随着一些研究人员采用机器学习和人工智能领域来改进现有技术，这种趋势开始改变。本研究试图回顾和分析采矿业各个部门最近的所有自动化相关工作，包括矿产勘探和勘探、矿山规划、设备选型、地下和地面设备操作、钻爆、选矿等，建立现有技术进步前沿。在当前的研究工作中发现了缺点和挑战。提出了通过实施深度学习、机器学习和人工智能来推进现有技术的建议，以实现采矿业的智能和基于智能的演进。通过智能自动化系统的所有这些创新开发和实施，可以为未来的矿山奠定基础，从而创造具有可持续采矿作业的高效、有效和更安全的机器。建立现有的技术进步前沿。在当前的研究工作中发现了缺点和挑战。提出了通过实施深度学习、机器学习和人工智能来推进现有技术的建议，以实现采矿业的智能和基于智能的演进。通过智能自动化系统的所有这些创新开发和实施，可以为未来的矿山奠定基础，从而创造具有可持续采矿作业的高效、有效和更安全的机器。建立现有的技术进步前沿。在当前的研究工作中发现了缺点和挑战。提出了通过实施深度学习、机器学习和人工智能来推进现有技术的建议，以实现采矿业的智能和基于智能的演进。通过智能自动化系统的所有这些创新开发和实施，可以为未来的矿山奠定基础，从而创造具有可持续采矿作业的高效、有效和更安全的机器。和人工智能，用于采矿业的智能和基于智能的进化。通过智能自动化系统的所有这些创新开发和实施，可以为未来的矿山奠定基础，从而创造具有可持续采矿作业的高效、有效和更安全的机器。和人工智能，用于采矿业的智能和基于智能的进化。通过智能自动化系统的所有这些创新开发和实施，可以为未来的矿山奠定基础，从而创造具有可持续采矿作业的高效、有效和更安全的机器。