[{"data":1,"prerenderedAt":-1},["ShallowReactive",2],{"doc-detail-128748-en":3,"doc-seo-128748-105":30,"detail-sidebar-cat-0-en-105":92},{"code":4,"msg":5,"data":6},0,"success",{"doc_id":7,"user_id":8,"nickname":9,"user_avatar":10,"doc_module":4,"category_id":11,"category_name":12,"doc_title":13,"doc_description":14,"doc_content":15,"file_id":16,"file_url":17,"file_type":18,"file_size":19,"view_count":20,"is_deleted":4,"is_public":20,"is_downloadable":20,"audit_status":20,"page_count":21,"language":22,"language_code":23,"site_id":24,"html_lang":23,"table_of_contents":25,"faqs":26,"seo_title":27,"seo_description":14,"update_tm":28,"read_time":29},128748,1099523885074,"Ivy","https://ap-avatar.wpscdn.com/davatar_9964176cb1d06d4a9deccf72a44ae3dc",8,"Research & Report","Application of Artificial Intelligence and Machine Learning in Expert Systems for the Mining Industry - Modern Methods and Technologies","Mining has rapidly evolved in recent decades through artificial intelligence (AI) and machine learning (ML), enabling the development of expert systems that optimize operations while improving safety and sustainability. This literature review surveys modern AI/ML methods and their deployment in mining to raise productivity, lower operating costs, support machine automation, enable predictive analytics, and enhance quality monitoring and control. It also covers environmental sustainability and inventory/logistics management, weighing advantages and limitations and discussing potential impacts on the industry’s future.","Application of artificial intelligence and machine learning inexpert systems for the mining industry: modern methods and  \ntechnologies  \nNatalya Mutovina, Margulan Nurtay, Alexey Kalinin, Aleksandr Tomilov, Nadezhda Tomilova  \nInformation and Computing Systems Department, Faculty of Innovation Technologies, Abylkas Saginov Karaganda Technical  \nUniversity, Karaganda, Kazakhstan  \n\n| Article history:\u003Cbr>Received Aug 26, 2024 Revised Dec 24, 2024 Accepted Jan 16, 2025 | The mining industry has changed significantly in recent decades with the introduction of advanced technologies such as artificial intelligence (AI) and machine learning (ML) . These innovations contribute to the creation of expert systems that help in optimizing processes, increasing the safety and sustainability of operations. This article is a literature review of modern AI and ML methods and technologies used in the mining industry. Discusses various intelligent and expert systems used to improve productivity, reduce operating costs, improve occupational safety, environmental sustainability, machine automation, predictive analytics, quality monitoring and control, and inventory and logistics management. The advantages and disadvantages of different approaches are analyzed, as well as their potential impact on the future of the mining industry. The review highlights the importance of integrating AI and ML into mining processes to achieve more efficient and safer solutions.\u003Cbr>This is an open access article under the CC BY-SA license.\u003Cbr> |\n| --- | --- |\n| Keywords:\u003Cbr>Artificial intelligence Deep learning Internet of things Machine learning Mining industry Predictive analysis Reinforcement learning |  |\n\nCorresponding Author:  \nNatalya Mutovina  \nInformation and Computing Systems Department, Faculty of Innovation Technologies, Abylkas Saginov Karaganda Technical University  \n56 N. Nazarbayev av., Karaganda, Kazakhstan [Email: mutovina_natalya@mail.ru](Email: mutovina_natalya@mail.ru)  \nArticle Info ABSTRACT  \n1. INTRODUCTION  \nArtificial intelligence (AI) and machine learning (ML) are pivotal technologies transforming numerous sectors, mining included. AI encompasses the realm of computer science focused on developing systems that can perform tasks traditionally requiring human intelligence, like speech recognition, decisionmaking, and problem-solving [1]–[3] . Machine learning, a subset of AI, specifically concentrates on devising algorithms that enable computers to learn from data and enhance their performance over time. The mining industry, as one of the oldest and most resource-intensive sectors, has always been in pursuit of new technologies capable of enhancing the efficiency and safety of mineral extraction. Machine learning has the potential to prevent or anticipate various incidents at industrial facilities [4] . The application of AI and ML in mining opens up new possibilities for addressing many challenges faced by mining companies [5]–[7] . The use of AI enables enhanced productivity, lower operational costs, improved workplace safety, and reduced environmental impact. The use of ML algorithms makes it possible to optimize the processes of mining and processing of minerals. For instance, ML-based systems can analyze mining data in real time, suggest optimal routes for mining equipment, and predict the most efficient mining methods [8], [9] . Predictive analytics based on ML improves the prediction of equipment breakdowns and plans its maintenance, which reduces the cost of repair and replacement of equipment. Such approach is especially important for large and  \nexpensive mining equipment [10] . AI and ML can analyze data from sensors and surveillance cameras to identify potentially dangerous situations and warn workers about possible accidents. For example, monitoring systems can monitor the condition of mines and predict collapses or methane emissions, which allows workers to be evacuated in a timely manner and precautions taken [11]–[13] . ML ca","cbCais1wkdDm5u1I","https://ap.wps.com/l/cbCais1wkdDm5u1I","pdf",486015,1,18,"English","en",105,"# 1. Introduction\n## AI and ML roles in mining\n## Expert systems applications","[{\"question\":\"How do AI and ML improve safety in mining operations?\",\"answer\":\"AI/ML systems can analyze sensor and surveillance data to detect dangerous situations and warn workers. They also support monitoring for incidents such as mine collapses or methane emissions to enable timely evacuation and precautions.\"},{\"question\":\"What operational areas in mining benefit from expert systems based on AI/ML?\",\"answer\":\"The review highlights productivity optimization, cost reduction, predictive analytics for equipment breakdowns and maintenance planning, real-time quality monitoring, and automation of mining equipment and processes.\"},{\"question\":\"How does ML help manage environmental aspects of mining?\",\"answer\":\"ML supports monitoring and managing air and water pollution, waste management, and land reclamation. This reduces negative environmental impacts and helps comply with regulations and standards.\"}]","Application of Artificial Intelligence and Machine Learning in Expert Systems for the Mining Industry - Modern Methods and Technologies | PDF",1786003081,45,{"code":4,"msg":31,"data":32},"ok",{"site_id":24,"language":23,"slug":33,"title":13,"keywords":34,"description":14,"schema_data":35,"social_meta":87,"head_meta":89,"extra_data":91,"updated_unix":28},"application-of-artificial-intelligence-and-machine-learning-in-expert-systems-for-the-mining-industry-modern-methods-and-technologies","",{"@graph":36,"@context":86},[37,54,69],{"@type":38,"itemListElement":39},"BreadcrumbList",[40,44,48,51],{"item":41,"name":42,"@type":43,"position":20},"https://docshare.wps.com","Home","ListItem",{"item":45,"name":46,"@type":43,"position":47},"https://docshare.wps.com/document/","Document",2,{"item":49,"name":12,"@type":43,"position":50},"https://docshare.wps.com/document/research-report/",3,{"item":52,"name":13,"@type":43,"position":53},"https://docshare.wps.com/document/application-of-artificial-intelligence-and-machine-learning-in-expert-systems-for-the-mining-industry-modern-methods-and-technologies/128748/",4,{"url":52,"name":13,"@type":55,"author":56,"headline":13,"publisher":58,"fileFormat":61,"inLanguage":23,"description":14,"dateModified":62,"datePublished":63,"encodingFormat":61,"isAccessibleForFree":64,"interactionStatistic":65},"DigitalDocument",{"name":9,"@type":57},"Person",{"url":41,"name":59,"@type":60},"DocShare","Organization","application/pdf","2026-08-23","2026-08-06",true,{"@type":66,"interactionType":67,"userInteractionCount":20},"InteractionCounter",{"@type":68},"ViewAction",{"@type":70,"mainEntity":71},"FAQPage",[72,78,82],{"name":73,"@type":74,"acceptedAnswer":75},"How do AI and ML improve safety in mining operations?","Question",{"text":76,"@type":77},"AI/ML systems can analyze sensor and surveillance data to detect dangerous situations and warn workers. They also support monitoring for incidents such as mine collapses or methane emissions to enable timely evacuation and precautions.","Answer",{"name":79,"@type":74,"acceptedAnswer":80},"What operational areas in mining benefit from expert systems based on AI/ML?",{"text":81,"@type":77},"The review highlights productivity optimization, cost reduction, predictive analytics for equipment breakdowns and maintenance planning, real-time quality monitoring, and automation of mining equipment and processes.",{"name":83,"@type":74,"acceptedAnswer":84},"How does ML help manage environmental aspects of mining?",{"text":85,"@type":77},"ML supports monitoring and managing air and water pollution, waste management, and land reclamation. 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