Evaluation of Alternative Technologies for Underground Mining Proximity Detection Systems
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2020/02/23
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Series: Mining Publications
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Description:In underground coal mines, a leading cause of permanent disability and fatality is striking and pinning accidents involving continuous mining machines and powered haulage equipment. From 2009-2018, underground coal mines in the United States experienced 99 permanent disability injuries and 48 fatalities attributed to powered haulage or machinery. Magnetic proximity detection systems (PDSs), designed to detect workers in close proximity to these machines and to automatically stop machine motion, were introduced to prevent such accidents. While these devices are expected to improve worker safety, environmental influences and electromagnetic interference may cause inconsistent PDS performance. To address this issue, the National Institute for Occupational Safety and Health (NIOSH) has researched alternative proximity detection technologies for underground mining including RADAR and LIDAR. Researchers conducted a sensitivity analysis to evaluate different variables that may affect detection performance. The test results illustrating the variables that may affect detection performance are discussed in this paper. PDS manufacturers may use this study to inform future system design and improve mine worker safety. [Description provided by NIOSH]
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Pages in Document:1-6
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NIOSHTIC Number:nn:20059690
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Citation:MineXchange: 2020 SME Annual Conference & Expo, February 23-26, 2020, Phoenix, Arizona, preprint 20-105. Englewood, CO: Society for Mining, Metallurgy & Exploration, 2020 Feb; :1-6
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Contact Point Address:C, de Gennaro, NIOSH Pittsburgh Mining Research Division, Pittsburgh, PA 15236, USA
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Federal Fiscal Year:2020
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Peer Reviewed:False
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Source Full Name:MineXchange: 2020 SME Annual Conference & Expo, February 23-26, 2020, Phoenix, Arizona, preprint 20-105
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Main Document Checksum:urn:sha-512:6def919a8e0a061350c65ab6c45514d79341af0bbdf5f3eb3d392912675538053b6f4f2b08f132e0e41b838309661469d8a68e3497fd8615a28a94a00a86efbc
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