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dc.contributor.authorVrublová, Dana
dc.contributor.authorKapica, Roman
dc.contributor.authorSmelik, Stanislav
dc.contributor.authorSmeliková, Markéta
dc.date.accessioned2021-09-20T11:40:15Z
dc.date.available2021-09-20T11:40:15Z
dc.date.issued2021
dc.identifier.citationArchives of Mining Sciences. 2021, vol. 66, issue 2, p. 249-264.cs
dc.identifier.issn0860-7001
dc.identifier.issn1689-0469
dc.identifier.urihttp://hdl.handle.net/10084/145215
dc.description.abstractThe primary objective of the case study is to improve monitoring, controlling, planning and managing the extraction processes in surface lignite mining. Under the North Bohemian Lignite Basin (also Most Basin) conditions and the Sokolov Basin, wheeled excavators are deployed as the main technology for extracting coal and overlying rock. Their real-time spatial position can be tracked based on data from GLASS technology, inclinometers, and incremental rotary encoders. The measured data is sent to a remote server and stored in the database. it also serves to calculate volumes of extracted masses. Volume calculation, space position visualisation, and wheel boom movements are performed in KVASoftware. It is a program designed for modelling and d e signing quarries. Knowing the position of the wheel against the digital terrain (quarry), the model is essential for the implementation of many risk-elimination applications, namely with respect to the geological conditions, occupational safety, observance of the profile grade line, the area of extraction, qualitative parameters of the raw material, etc. The mathematical model of backfilling extracted materials is also an integral part of the above-mentioned system.cs
dc.language.isoencs
dc.publisherPolska Akademia Nauk. Komitet Górnictwacs
dc.relation.ispartofseriesArchives of Mining Sciencescs
dc.relation.urihttps://doi.org/10.24425/ams.2021.137460cs
dc.rights© 2021. The Author(s). This is an open-access article distributed under the terms of the Creative Commons Attribution-NonCommercial License, which permits the use, redistribution of the material in any medium or format, transforming and building upon the material, provided that the article is properly cited, the use is noncom mercial, and no modifications or adaptations are made.cs
dc.rights.urihttp://creativecommons.org/licenses/by-nc/4.0/deed.encs
dc.subjectbucket wheel excavatorcs
dc.subjectgeologycs
dc.subjectGNSScs
dc.subjectdigital terrain modelcs
dc.subjectopencast miningcs
dc.subjectreal-timecs
dc.titleReal-time positioning of equipment and material tracking of waste streams in surface coal mining – A case studycs
dc.typearticlecs
dc.identifier.doi10.24425/ams.2021.137460
dc.type.statusPeer-reviewedcs
dc.description.sourceWeb of Sciencecs
dc.description.volume66cs
dc.description.issue2cs
dc.description.lastpage264cs
dc.description.firstpage249cs
dc.identifier.wos000667517500006


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© 2021. The Author(s). This is an open-access article distributed under the terms  of the Creative Commons Attribution-NonCommercial License, which  permits the use,  redistribution of the material in any medium or format, transforming and building  upon the material, provided that the article is properly cited, the use is noncom mercial, and no modifications or adaptations are made.
Except where otherwise noted, this item's license is described as © 2021. The Author(s). This is an open-access article distributed under the terms of the Creative Commons Attribution-NonCommercial License, which permits the use, redistribution of the material in any medium or format, transforming and building upon the material, provided that the article is properly cited, the use is noncom mercial, and no modifications or adaptations are made.