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book (6)

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2022 (6)

1838 (1)

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Digital
Light and truth : Martin's invention for destroying all foul air and fire damps in coal pits, and making the foulest pits as pure as the surface of this earth, provided it has fair play.
Authors: ---
Year: 1838 Publisher: [Newcastle upon Tyne [England] Pattison and Ross, printers

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Book
Advances in Computational Intelligence Applications in the Mining Industry
Authors: --- ---
Year: 2022 Publisher: Basel MDPI - Multidisciplinary Digital Publishing Institute

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Abstract

This book captures advancements in the applications of computational intelligence (artificial intelligence, machine learning, etc.) to problems in the mineral and mining industries. The papers present the state of the art in four broad categories: mine operations, mine planning, mine safety, and advances in the sciences, primarily in image processing applications. Authors in the book include both researchers and industry practitioners.

Keywords

Technology: general issues --- History of engineering & technology --- truck dispatching --- mining equipment uncertainties --- orebody uncertainty --- discrete event simulation --- Q-learning --- grinding circuits --- minerals processing --- random forest --- decision trees --- machine learning --- knowledge discovery --- variable importance --- mineral prospectivity mapping --- random forest algorithm --- epithermal gold --- unstructured data --- blast impact --- empirical model --- mining --- fragmentation --- mine worker fatigue --- random forest model --- health and safety management --- stockpiles --- operational data --- mine-to-mill --- geostatistics --- ore control --- mine optimization --- digital twin --- modes of operation --- geological uncertainty --- multivariate statistics --- partial least squares regression --- oil sands --- bitumen extraction --- bitumen processability --- mine safety and health --- accidents --- narratives --- natural language processing --- random forest classification --- hyperspectral imaging --- multispectral imaging --- dimensionality reduction --- neighbourhood component analysis --- artificial intelligence --- mining exploitation --- masonry buildings --- damage risk analysis --- Bayesian network --- Naive Bayes --- Bayesian Network Structure Learning (BNSL) --- rock type --- mining geology --- bluetooth beacon --- classification and regression tree --- gaussian naïve bayes --- k-nearest neighbors --- support vector machine --- transport route --- transport time --- underground mine --- tactical geometallurgy --- data analytics in mining --- ball mill throughput --- measurement while drilling --- non-additivity --- coal --- petrographic analysis --- macerals --- image analysis --- semantic segmentation --- convolutional neural networks --- point cloud scaling --- fragmentation size analysis --- structure from motion --- truck dispatching --- mining equipment uncertainties --- orebody uncertainty --- discrete event simulation --- Q-learning --- grinding circuits --- minerals processing --- random forest --- decision trees --- machine learning --- knowledge discovery --- variable importance --- mineral prospectivity mapping --- random forest algorithm --- epithermal gold --- unstructured data --- blast impact --- empirical model --- mining --- fragmentation --- mine worker fatigue --- random forest model --- health and safety management --- stockpiles --- operational data --- mine-to-mill --- geostatistics --- ore control --- mine optimization --- digital twin --- modes of operation --- geological uncertainty --- multivariate statistics --- partial least squares regression --- oil sands --- bitumen extraction --- bitumen processability --- mine safety and health --- accidents --- narratives --- natural language processing --- random forest classification --- hyperspectral imaging --- multispectral imaging --- dimensionality reduction --- neighbourhood component analysis --- artificial intelligence --- mining exploitation --- masonry buildings --- damage risk analysis --- Bayesian network --- Naive Bayes --- Bayesian Network Structure Learning (BNSL) --- rock type --- mining geology --- bluetooth beacon --- classification and regression tree --- gaussian naïve bayes --- k-nearest neighbors --- support vector machine --- transport route --- transport time --- underground mine --- tactical geometallurgy --- data analytics in mining --- ball mill throughput --- measurement while drilling --- non-additivity --- coal --- petrographic analysis --- macerals --- image analysis --- semantic segmentation --- convolutional neural networks --- point cloud scaling --- fragmentation size analysis --- structure from motion


Book
Mining Technologies Innovative Development
Authors: ---
Year: 2022 Publisher: Basel MDPI - Multidisciplinary Digital Publishing Institute

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Abstract

The present book covers the main challenges, important for future prospects of subsoils extraction as a public effective and profitable business, as well as technologically advanced industry. In the near future, the mining industry must overcome the problems of structural changes in raw materials demand and raise the productivity up to the level of high-tech industries to maintain the profits. This means the formation of a comprehensive and integral response to such challenges as the need for innovative modernization of mining equipment and an increase in its reliability, the widespread introduction of Industry 4.0 technologies in the activities of mining enterprises, the transition to "green mining" and the improvement of labor safety and avoidance of man-made accidents. The answer to these challenges is impossible without involving a wide range of scientific community in the publication of research results and exchange of views and ideas. To solve the problem, this book combines the works of researchers from the world's leading centers of mining science on the development of mining machines and mechanical systems, surface and underground geotechnology, mineral processing, digital systems in mining, mine ventilation and labor protection, and geo-ecology. A special place among them is given to post-mining technologies research.

Keywords

Technology: general issues --- History of engineering & technology --- underground mining --- ventilation systems --- methane release hazard --- spontaneous combustion hazard --- safety --- copper ore comminution --- hydro-jet mill --- high-pressure water jet --- deep underground min --- IoT devices --- smartphone --- gas hazards --- Industry 4.0 in mining --- ball mills --- energy efficiency --- internal dynamics --- DEM model --- resonance oscillations --- measurements --- drilling rig --- process monitoring --- operational cycles --- sound measurement --- electric current acquisition --- threshold-based segmentation --- envelope spectrum --- safety function --- electro-hydraulic control system --- powered roof support --- textile conveyor belts --- multiply conveyor belts --- multiply belt splices --- laboratory splice tests --- fluid coupling --- ball mill --- electric motor --- drive system --- grinding --- energetic efficiency --- surface mining --- mining equipment --- multiple criteria decision making (MCDM) --- ELECTRE III --- thermal imaging --- belt conveyor --- diagnostics --- mechanical failure --- preventative maintenance --- well reamer --- rock mass --- intensification of production --- nonlinear law --- completion of wells --- innovative technology --- UAV --- acoustic signal processing --- Euclidean distance --- underground mine --- search and rescue --- drilling --- pipe --- drill bit --- manufacturing error --- material --- model --- elastic modulus --- computational fluid dynamics --- numerical model geometry --- laser scanning --- machine diagnostics --- LHD --- engine oil pressure data --- oil pump wear --- statistical analysis --- convergence functions --- numerical modeling --- high horizontal stress --- excavations stability assessment --- mobile laser scanning --- Velodyne LiDAR --- Riegl scanning system --- open pit mine --- underground laboratory --- new ways of mine reclamation --- sustainability --- circular economy --- radar interferometry --- subsidence trough --- automatic detection --- mathematical morphology --- underground mining --- ventilation systems --- methane release hazard --- spontaneous combustion hazard --- safety --- copper ore comminution --- hydro-jet mill --- high-pressure water jet --- deep underground min --- IoT devices --- smartphone --- gas hazards --- Industry 4.0 in mining --- ball mills --- energy efficiency --- internal dynamics --- DEM model --- resonance oscillations --- measurements --- drilling rig --- process monitoring --- operational cycles --- sound measurement --- electric current acquisition --- threshold-based segmentation --- envelope spectrum --- safety function --- electro-hydraulic control system --- powered roof support --- textile conveyor belts --- multiply conveyor belts --- multiply belt splices --- laboratory splice tests --- fluid coupling --- ball mill --- electric motor --- drive system --- grinding --- energetic efficiency --- surface mining --- mining equipment --- multiple criteria decision making (MCDM) --- ELECTRE III --- thermal imaging --- belt conveyor --- diagnostics --- mechanical failure --- preventative maintenance --- well reamer --- rock mass --- intensification of production --- nonlinear law --- completion of wells --- innovative technology --- UAV --- acoustic signal processing --- Euclidean distance --- underground mine --- search and rescue --- drilling --- pipe --- drill bit --- manufacturing error --- material --- model --- elastic modulus --- computational fluid dynamics --- numerical model geometry --- laser scanning --- machine diagnostics --- LHD --- engine oil pressure data --- oil pump wear --- statistical analysis --- convergence functions --- numerical modeling --- high horizontal stress --- excavations stability assessment --- mobile laser scanning --- Velodyne LiDAR --- Riegl scanning system --- open pit mine --- underground laboratory --- new ways of mine reclamation --- sustainability --- circular economy --- radar interferometry --- subsidence trough --- automatic detection --- mathematical morphology


Book
Advances in Computational Intelligence Applications in the Mining Industry
Authors: --- ---
Year: 2022 Publisher: Basel MDPI - Multidisciplinary Digital Publishing Institute

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Bookmark

Abstract

This book captures advancements in the applications of computational intelligence (artificial intelligence, machine learning, etc.) to problems in the mineral and mining industries. The papers present the state of the art in four broad categories: mine operations, mine planning, mine safety, and advances in the sciences, primarily in image processing applications. Authors in the book include both researchers and industry practitioners.

Keywords

Technology: general issues --- History of engineering & technology --- truck dispatching --- mining equipment uncertainties --- orebody uncertainty --- discrete event simulation --- Q-learning --- grinding circuits --- minerals processing --- random forest --- decision trees --- machine learning --- knowledge discovery --- variable importance --- mineral prospectivity mapping --- random forest algorithm --- epithermal gold --- unstructured data --- blast impact --- empirical model --- mining --- fragmentation --- mine worker fatigue --- random forest model --- health and safety management --- stockpiles --- operational data --- mine-to-mill --- geostatistics --- ore control --- mine optimization --- digital twin --- modes of operation --- geological uncertainty --- multivariate statistics --- partial least squares regression --- oil sands --- bitumen extraction --- bitumen processability --- mine safety and health --- accidents --- narratives --- natural language processing --- random forest classification --- hyperspectral imaging --- multispectral imaging --- dimensionality reduction --- neighbourhood component analysis --- artificial intelligence --- mining exploitation --- masonry buildings --- damage risk analysis --- Bayesian network --- Naive Bayes --- Bayesian Network Structure Learning (BNSL) --- rock type --- mining geology --- bluetooth beacon --- classification and regression tree --- gaussian naïve bayes --- k-nearest neighbors --- support vector machine --- transport route --- transport time --- underground mine --- tactical geometallurgy --- data analytics in mining --- ball mill throughput --- measurement while drilling --- non-additivity --- coal --- petrographic analysis --- macerals --- image analysis --- semantic segmentation --- convolutional neural networks --- point cloud scaling --- fragmentation size analysis --- structure from motion --- n/a --- gaussian naïve bayes


Book
Mining Technologies Innovative Development
Authors: ---
Year: 2022 Publisher: Basel MDPI - Multidisciplinary Digital Publishing Institute

Loading...
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Bookmark

Abstract

The present book covers the main challenges, important for future prospects of subsoils extraction as a public effective and profitable business, as well as technologically advanced industry. In the near future, the mining industry must overcome the problems of structural changes in raw materials demand and raise the productivity up to the level of high-tech industries to maintain the profits. This means the formation of a comprehensive and integral response to such challenges as the need for innovative modernization of mining equipment and an increase in its reliability, the widespread introduction of Industry 4.0 technologies in the activities of mining enterprises, the transition to "green mining" and the improvement of labor safety and avoidance of man-made accidents. The answer to these challenges is impossible without involving a wide range of scientific community in the publication of research results and exchange of views and ideas. To solve the problem, this book combines the works of researchers from the world's leading centers of mining science on the development of mining machines and mechanical systems, surface and underground geotechnology, mineral processing, digital systems in mining, mine ventilation and labor protection, and geo-ecology. A special place among them is given to post-mining technologies research.

Keywords

Technology: general issues --- History of engineering & technology --- underground mining --- ventilation systems --- methane release hazard --- spontaneous combustion hazard --- safety --- copper ore comminution --- hydro-jet mill --- high-pressure water jet --- deep underground min --- IoT devices --- smartphone --- gas hazards --- Industry 4.0 in mining --- ball mills --- energy efficiency --- internal dynamics --- DEM model --- resonance oscillations --- measurements --- drilling rig --- process monitoring --- operational cycles --- sound measurement --- electric current acquisition --- threshold-based segmentation --- envelope spectrum --- safety function --- electro-hydraulic control system --- powered roof support --- textile conveyor belts --- multiply conveyor belts --- multiply belt splices --- laboratory splice tests --- fluid coupling --- ball mill --- electric motor --- drive system --- grinding --- energetic efficiency --- surface mining --- mining equipment --- multiple criteria decision making (MCDM) --- ELECTRE III --- thermal imaging --- belt conveyor --- diagnostics --- mechanical failure --- preventative maintenance --- well reamer --- rock mass --- intensification of production --- nonlinear law --- completion of wells --- innovative technology --- UAV --- acoustic signal processing --- Euclidean distance --- underground mine --- search and rescue --- drilling --- pipe --- drill bit --- manufacturing error --- material --- model --- elastic modulus --- computational fluid dynamics --- numerical model geometry --- laser scanning --- machine diagnostics --- LHD --- engine oil pressure data --- oil pump wear --- statistical analysis --- convergence functions --- numerical modeling --- high horizontal stress --- excavations stability assessment --- mobile laser scanning --- Velodyne LiDAR --- Riegl scanning system --- open pit mine --- underground laboratory --- new ways of mine reclamation --- sustainability --- circular economy --- radar interferometry --- subsidence trough --- automatic detection --- mathematical morphology --- n/a


Book
Mining Technologies Innovative Development
Authors: ---
Year: 2022 Publisher: Basel MDPI - Multidisciplinary Digital Publishing Institute

Loading...
Export citation

Choose an application

Bookmark

Abstract

The present book covers the main challenges, important for future prospects of subsoils extraction as a public effective and profitable business, as well as technologically advanced industry. In the near future, the mining industry must overcome the problems of structural changes in raw materials demand and raise the productivity up to the level of high-tech industries to maintain the profits. This means the formation of a comprehensive and integral response to such challenges as the need for innovative modernization of mining equipment and an increase in its reliability, the widespread introduction of Industry 4.0 technologies in the activities of mining enterprises, the transition to "green mining" and the improvement of labor safety and avoidance of man-made accidents. The answer to these challenges is impossible without involving a wide range of scientific community in the publication of research results and exchange of views and ideas. To solve the problem, this book combines the works of researchers from the world's leading centers of mining science on the development of mining machines and mechanical systems, surface and underground geotechnology, mineral processing, digital systems in mining, mine ventilation and labor protection, and geo-ecology. A special place among them is given to post-mining technologies research.

Keywords

underground mining --- ventilation systems --- methane release hazard --- spontaneous combustion hazard --- safety --- copper ore comminution --- hydro-jet mill --- high-pressure water jet --- deep underground min --- IoT devices --- smartphone --- gas hazards --- Industry 4.0 in mining --- ball mills --- energy efficiency --- internal dynamics --- DEM model --- resonance oscillations --- measurements --- drilling rig --- process monitoring --- operational cycles --- sound measurement --- electric current acquisition --- threshold-based segmentation --- envelope spectrum --- safety function --- electro-hydraulic control system --- powered roof support --- textile conveyor belts --- multiply conveyor belts --- multiply belt splices --- laboratory splice tests --- fluid coupling --- ball mill --- electric motor --- drive system --- grinding --- energetic efficiency --- surface mining --- mining equipment --- multiple criteria decision making (MCDM) --- ELECTRE III --- thermal imaging --- belt conveyor --- diagnostics --- mechanical failure --- preventative maintenance --- well reamer --- rock mass --- intensification of production --- nonlinear law --- completion of wells --- innovative technology --- UAV --- acoustic signal processing --- Euclidean distance --- underground mine --- search and rescue --- drilling --- pipe --- drill bit --- manufacturing error --- material --- model --- elastic modulus --- computational fluid dynamics --- numerical model geometry --- laser scanning --- machine diagnostics --- LHD --- engine oil pressure data --- oil pump wear --- statistical analysis --- convergence functions --- numerical modeling --- high horizontal stress --- excavations stability assessment --- mobile laser scanning --- Velodyne LiDAR --- Riegl scanning system --- open pit mine --- underground laboratory --- new ways of mine reclamation --- sustainability --- circular economy --- radar interferometry --- subsidence trough --- automatic detection --- mathematical morphology --- n/a


Book
Advances in Computational Intelligence Applications in the Mining Industry
Authors: --- ---
Year: 2022 Publisher: Basel MDPI - Multidisciplinary Digital Publishing Institute

Loading...
Export citation

Choose an application

Bookmark

Abstract

This book captures advancements in the applications of computational intelligence (artificial intelligence, machine learning, etc.) to problems in the mineral and mining industries. The papers present the state of the art in four broad categories: mine operations, mine planning, mine safety, and advances in the sciences, primarily in image processing applications. Authors in the book include both researchers and industry practitioners.

Keywords

truck dispatching --- mining equipment uncertainties --- orebody uncertainty --- discrete event simulation --- Q-learning --- grinding circuits --- minerals processing --- random forest --- decision trees --- machine learning --- knowledge discovery --- variable importance --- mineral prospectivity mapping --- random forest algorithm --- epithermal gold --- unstructured data --- blast impact --- empirical model --- mining --- fragmentation --- mine worker fatigue --- random forest model --- health and safety management --- stockpiles --- operational data --- mine-to-mill --- geostatistics --- ore control --- mine optimization --- digital twin --- modes of operation --- geological uncertainty --- multivariate statistics --- partial least squares regression --- oil sands --- bitumen extraction --- bitumen processability --- mine safety and health --- accidents --- narratives --- natural language processing --- random forest classification --- hyperspectral imaging --- multispectral imaging --- dimensionality reduction --- neighbourhood component analysis --- artificial intelligence --- mining exploitation --- masonry buildings --- damage risk analysis --- Bayesian network --- Naive Bayes --- Bayesian Network Structure Learning (BNSL) --- rock type --- mining geology --- bluetooth beacon --- classification and regression tree --- gaussian naïve bayes --- k-nearest neighbors --- support vector machine --- transport route --- transport time --- underground mine --- tactical geometallurgy --- data analytics in mining --- ball mill throughput --- measurement while drilling --- non-additivity --- coal --- petrographic analysis --- macerals --- image analysis --- semantic segmentation --- convolutional neural networks --- point cloud scaling --- fragmentation size analysis --- structure from motion --- n/a --- gaussian naïve bayes

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