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Recommendations for evaluating and implementing proximity warning systems onsurface mining equipment

Public Domain
File Language:
English


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  • Personal Author:
    Ruff, Todd M.
  • Corporate Authors:
    National Institute for Occupational Safety and Health
  • Description:
    "Researchers at the National Institute for Occupational Safety and Health, Spokane Research Laboratory, studied technology and methods that could reduce accidents involving surface mining equipment that collides with other vehicles or workers, or drives over an unseen road edge. These accidents are partially attributed to the lack of full visibility around these large pieces of equipment. Blind areas can be extensive and this report presents plots of blind areas for five pieces of surface mining equipment. Several technologies designed for detecting obstacles in blind areas and providing a warning to the operator were evaluated on off-highway dump trucks. These proximity warning systems included radar, sonar, GPS, radio transceiver tags, and combinations of radar and cameras. A summary of test results is presented in this report, along with guidance on effective proximity warning technology, installation and maintenance considerations, and recommendations for effective implementation. This study found several commercially available systems that could effectively warn an equipment operator of an impending collision. Several new technologies also show promise for reducing these accidents. In most applications, it is recommended that sensor-based systems be combined with video cameras to provide important alarming functions along with an actual view of the blind area." - NIOSHTIC-2
  • Subjects:
  • Series:
    NIOSH Numbered Publications
  • Subseries:
    Report of Investigations
  • DOI:
  • Document Type:
    Text
  • Genre:
    Report
  • CIO:
    National Institute for Occupational Safety and Health (NIOSH)
  • Topic:
    Workplace Safety & Health
  • Location:
    North America
  • Pages in Document:
    x, 78 numbered pages
  • NIOSHTIC Number:
    nn:20032431
  • Collection(s):
  • Main Document Checksum:
    urn:sha-512:c02cb56e3adb50e31d5809ce730c62ce11f901a553f68a741c69387d508dfd876e219de844b2376815cde0fe45061ec6e21089ade2842fb2f93a8270cda20f2b
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  • File Type:
    Filetype[PDF - 10.18 MB ]
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