Applications of Close-Range Terrestrial 3D Photogrammetry to Improve Safety in Underground Stone Mines

dc.contributor.authorBishop, Richarden
dc.contributor.committeechairRipepi, Nino S.en
dc.contributor.committeememberChen, Chengen
dc.contributor.committeememberKarmis, Michael E.en
dc.contributor.departmentMining and Minerals Engineeringen
dc.date.accessioned2020-06-16T11:48:02Zen
dc.date.available2020-06-16T11:48:02Zen
dc.date.issued2020-05-22en
dc.description.abstractThe underground limestone mining industry is a small, but growing segment of the U.S. crushed stone industry. However, its fatality rate has been amongst the highest of the mining sector in recent years due to ground control issues related to ground collapses. It is therefore important to improve the engineering design, monitoring and visualization of ground control by utilizing new technologies that can help an underground limestone company maintain a safe and productive operation. Photogrammetry and laser scanning are remote sensing technologies that are useful tools for collecting three-dimensional spatial data with high levels of precision for many types of mining applications. Due to the reality of budget constraints for many underground stone mining operations, this research concentrates on photogrammetry as a more accessible technology for the average operation. Despite the challenging lighting conditions and size of underground limestone mines that has previous hindered photogrammetric surveys in these environments, over 13,000 photographic images were taken over a 3-year period in active mines to compile these models. This research summarizes that work and highlights the many applications of terrestrial close-range photogrammetry, including practical methodologies for implementing the techniques in working operations to better visualize hazards and pragmatic approaches for geotechnical analysis, improved engineering design and monitoring.en
dc.description.abstractgeneralThe underground limestone mining industry is a small, but growing segment of the U.S. crushed stone industry. However, its fatality rate has been amongst the highest of the mining sector in recent years due to ground control issues related to ground collapses. It is therefore important to improve the engineering design, monitoring and visualization of ground control by utilizing new technologies that can help maintain safe and productive underground stone operations. Photogrammetry and laser scanning are remote sensing technologies that are useful tools for collecting three-dimensional spatial data with high levels of precision for many different mining applications. Due to the reality of budget constraints for many mining operations, this research concentrates on photogrammetry as a more accessible technology for the average operation, despite the challenging lighting conditions and expansive size of underground limestone mines that has previous hindered photogrammetric surveys in these environments. This research focuses on the applications of photogrammetry in underground stone mines and practical methodologies for implementing the techniques in working operations to better visualize hazards for improved engineering design and infrastructure management.en
dc.description.degreeM.S.en
dc.format.mediumETDen
dc.identifier.urihttp://hdl.handle.net/10919/98920en
dc.language.isoenen
dc.publisherVirginia Techen
dc.rightsCreative Commons Attribution-NoDerivatives 4.0 Internationalen
dc.rights.urihttp://creativecommons.org/licenses/by-nd/4.0/en
dc.subjectphotogrammetryen
dc.subjectstereophotogrammetryen
dc.subjectundergrounden
dc.subjectminingen
dc.subjectmine safetyen
dc.subjectdroneen
dc.subjectuaven
dc.subjectmining engineeringen
dc.subjectvirtual realityen
dc.subjectaugmented realityen
dc.subject3Den
dc.titleApplications of Close-Range Terrestrial 3D Photogrammetry to Improve Safety in Underground Stone Minesen
dc.typeThesisen
thesis.degree.disciplineMining Engineeringen
thesis.degree.grantorVirginia Polytechnic Institute and State Universityen
thesis.degree.levelmastersen
thesis.degree.nameM.S.en

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