Artificial intelligence, machine learning and process automation: existing knowledge frontier and way forward for mining
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Artificial intelligence, machine learning and process automation: existing knowledge frontier and way forward for mining sector Danish Ali1 · Samuel Frimpong1
© Springer Nature B.V. 2020
Abstract 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. Keywords Machine learning · Artificial intelligence · Deep learning · Autonomous technology · Process automation · Mining · Autonomous haul trucks · Fuzzy logic
1 Introduction Artificial intelligence is a field of computer science that deals with transforming and developing machines capable of performing a certain task without requiring any specific instruction. The ultimate goal in the field of AI is for machines to achieve the human level of * Danish Ali [email protected] 1
Department of Mining and Nuclear Engineering, Missouri University of Science and Technology, Rolla, MO, USA
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intelligence. Deep learning and machine learning are the subfields or particular applications of AI, which deals with designing algorithms capable of educating machines by helping them recognize patterns and extract knowledge from previous cases. AI helps society in applications like recognizing cancer tissue faster than the human experts, finding criminal patterns in tons of financial transactions, doing speech and video recognition to converting huge video banks into structured information, creating chatbots that speak and understand speech to become better assistants, and more. Machine learning and AI can be applied from the beginning of mining to the end of the mine l
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