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- Hazards and exposures:
- Equipment accidents
- or
- Loss of vehicle control
- or
- HAZMAT transport accidents
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- Rollovers
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- Collisions
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Results 11 - 20 of 35
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7/18/2016A contract to survey the landscape of mine hazards through a lens wide enough to capture all mine operations, fine-grained enough to pinpoint hazards for each specific type of operation, and responsive enough to detect new hazards as they emerge.
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5/12/2016 - Awards and recognitionCongratulations to Pittsburgh Mining Research Division’s Jacob Carr, a recipient of this year’s Presidential Early Career Award for Scientists and Engineers (PECASE).
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2/25/2016 - News and announcementsNIOSH engineer Jacob Carr is receiving the Presidential Early Career Award for Scientists and Engineers.
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9/22/2015 - Research areasProximity Detection Topic Page
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8/26/2013 - Technology NewsThis Technology News describes a new visual warning system that reduces the risk of underground mine workers being struck-by or pinned by mobile mining equipment such as the continuous mining machine (CMM).
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9/28/2012 - News articlesNIOSH is developing a prototype intelligent system that provides enhanced protection by continuously monitoring miners’ positions in relation to the machine and established safety zones.
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5/1/2010 - Peer reviewed journal articlesNIOSH studied methods to prevent workers from being entangled in machinery at mining operations. A description of intelligent video, the technology, test procedures and results, implementation challenges, and future research needs are discussed.
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2/1/2010 - Information CircularsThis report describes a study of operator movement relative to the motion of a roof bolting machine boom arm. This work was aimed at reducing the risk of injury to underground coal mine workers from moving machinery.
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4/1/2009 - Peer reviewed journal articlesNIOSH researchers used motion analysis data and digital human models to evaluate factors that precipitate struck-by injuries in the operation of remote continuous mining machines.
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6/1/2008 - Conference papersNIOSH researchers used motion analysis data and digital human models to evaluate factors that precipitate struck-by injuries in the operation of remote continuous mining machines.
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Content source: National Institute for Occupational Safety and Health, Mining Program