A Novel Application of Photogrammetry to Ground Convergence Monitoring in Underground Excavations
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2018/09/17
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Description:Researchers from the National Institute for Occupational Safety and Health (NIOSH) Spokane Mining Research Division (SMRD) are evaluating the comparative performances of ground convergence monitoring methods currently utilized in underground mining. A portion of this research is exploring applications of photogrammetry for periodic visual assessment of slow-converging ground. This paper describes the photogrammetric systems evaluated, including their components and methodology. These systems include light-weight equipment easily carried by a single individual traversing rough terrain in underground mine environments. This study demonstrates how photogrammetric methods may complement or replace existing underground convergence monitoring techniques on the basis of time and personnel requirements, equipment cost and robustness, and overall data quality. This research supplements previous studies into photogrammetric and laser scanning methods, and enhances understanding of how digital technology may be utilized to maximize safety in underground excavations. NIOSH SMRD is committed to improving workforce health and safety through innovative research and applications of technology. [Description provided by NIOSH]
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ISSN:0277-786X
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Volume:10746
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NIOSHTIC Number:nn:20054619
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Citation:Proceedings of SPIE 10746, Novel Optical Systems Design and Optimization XXI, August 19-23, 2018, San Diego, California. Hahlweg CF, Mulley JR eds. Bellingham WA: International Society for Optics and Photonics (SPIE), 2018 Sep; 10746:107460B
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Contact Point Address:Donovan J. Benton, Spokane Mining Research Division, 315 East Montgomery Avenue, Spokane, WA, USA 92207
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Email:xfu5@gmail.com
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Federal Fiscal Year:2018
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Peer Reviewed:False
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Source Full Name:Proceedings of SPIE 10746, Novel Optical Systems Design and Optimization XXI, August 19-23, 2018, San Diego, California
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Main Document Checksum:urn:sha-512:408a5a8ff7883b3a20ea78b90674d98303305db37a8d5fcf1286d108c2ef7b57eeb1cf23c1f8503cd15c12b2f50d5c754f38c150ae9063b521f71a8d2ddf8466
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