Alternate Technologies Applicable to Proximity Detection on Mobile Machines in Underground Coal Mines [preprint]
Public Domain
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2017/02/01
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Series: Mining Publications
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Description:There have been about 42 fatalities in underground coal mines between 1984 and 2015 where the victim was struck, pinned, or run over by a mobile machine (MM) such as a shuttle car, scoop, or battery hauler. MSHA has issued a proposed rule requiring proximity detection systems (PDS) on MMs in an effort to prevent future fatalities. Currently approved PDSs use electromagnetic (EM) technology to detect the presence of a miner and impose machine controls to prevent contact. The disadvantages of an EM-based PDS on MMs include the need for a miner-wearable component (MWC), environmental interferences, EM interferences from other devices, and low localization range and accuracy. NIOSH researchers are investigating alternate technologies that could improve the capabilities of the current PDSs. Many technologies were reviewed, and NIOSH researchers identified RFID, LIDAR, RADAR, ultrasonic detection, and computer vision as candidates for PDS development. The performance characteristics of each technology and its applicability to an underground mining environment will be discussed, along with international developments and implementations, and the concept of sensor fusion. [Description provided by NIOSH]
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Pages in Document:1-5
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NIOSHTIC Number:nn:20049556
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Citation:2017 SME Annual Meeting, February 19-22, 2017, Denver, Colorado, preprint 17-008. Englewood, CO: Society for Mining, Metallurgy, and Exploration, Inc., 2017 Feb; :1-5
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Federal Fiscal Year:2017
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Peer Reviewed:False
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Main Document Checksum:urn:sha-512:e712074ad164898c072a57ce4d3e6057972628b8857867d7153f4518c92484e88964716a3506dd15973f56b975001eccf889ba4802c9de3b2783de415de0d917
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