Application of Radio-Frequency Identification Systems to Collision Avoidance in Metal/Nonmetal Mines

Details

• Personal Author:
  Hession-Kunz D ; Ruff, Todd M.
• Description:
  Collisions between haulage equipment and pedestrian workers or other vehicles claim an average of five lives each year in surface and underground metal/nonmetal mining operations. Many more workers are severely injured, Although technologies exist that could prevent these collisions, (radar, closed-circuit TV, and backup alarms), they do have limitations and are not being used widely. New developments in radio-frequency identification (RFID) systems show promise for reducing the number of collisions. This paper, originally presented in 1998, describes tests conducted on off-the-shelf RFID systems and the subsequent development of a custom RFID system that could be used for both surface and underground mining equipment. [Description provided by NIOSH]
• Subjects:
  Accidents, Occupational Mining Occupational Health Safety
• Keywords:
  Accident-analysis Accident-rates Author Keywords: Collision Warning System Industrial-equipment Injuries Mining-equipment Mining-industry Powered Haulage Radio-frequency Identification Traumatic-injuries
• Series:
  Mining Publications
• ISSN:
  0093-9994
• Document Type:
  Text
• Genre:
  Journal Article
• Place as Subject:
  OSHA Region 10 ; Washington
• CIO:
  National Institute for Occupational Safety and Health (NIOSH)
• Division:
  SRL - Spokane Research Laboratory
• Topic:
  Workplace Safety & Health
• Location:
  North America
• Pages in Document:
  112-116
• Volume:
  37
• Issue:
  1
• NIOSHTIC Number:
  nn:20021858
• Citation:
  IEEE Trans Ind Appl 2001 Jan/Feb; 37(1):112-116
• Federal Fiscal Year:
  2001
• Peer Reviewed:
  True
• Source Full Name:
  IEEE Transactions on Industry Applications
• Collection(s):
  National Institute for Occupational Safety and Health
• Main Document Checksum:
  urn:sha-512:43c8fc2b9a3576ea36176c01efd0deeb09545b4f8dd6130daf7d38eea025c76ca9cb6c5f6afd737eaf583d4cbd6f0843a0e976814783b733b5f61bb496ffe831
• Download URL:
  https://stacks.cdc.gov/view/cdc/220519/cdc_220519_DS1.pdf
• File Type:
  [PDF - 88.08 KB ]