Overview of the U.S. Bureau of Mines’ Research in Position and Heading Systems for Mine Machine Guidance

Details

• Personal Author:
  Anderson, Donna L. ; Jobes, Christopher C. ; Sammarco, John J.
• Description:
  Computer-aided control of a mining machine places its operator in a safe, remote location, thus reducing health and safety risks. Sensing systems that provide machine position (xy coordinates) and heading (yaw) are extremely useful in aiding remote positioning of mining machines. The US Bureau of Mines (Bureau) developed two sensing systems for position and heading information: a scanning laser system based on the Lasernet sensor and a mechanical position and heading system based on linear-position transducers. The Bureau is also investigating a system from Honeywell, the modular azimuth and positioning system (MAPS), that employs ring-laser gyroscopes (RLGs). This paper presents a brief background and status of these sensing systems as applied to a continuous mining machine (CM). Included are field test results of each system operating in a room-and-pillar research section at a cooperating West Virginia mine. [Description provided by NIOSH]
• Subjects:
  Computers Mining Occupational Health Safety Software
• Keywords:
  Computer-aided-manufacturing Computer-software Mining-equipment Mining-industry Robotics Underground-mining
• Series:
  Mining Publications
• ISSN:
  1075-8623
• Document Type:
  Text
• Genre:
  Journal Article
• Place as Subject:
  OSHA Region 3 ; Pennsylvania
• CIO:
  National Institute for Occupational Safety and Health (NIOSH)
• Division:
  PRC - Pittsburgh Research Center
• Topic:
  Workplace Safety & Health
• Location:
  North America
• Volume:
  292
• NIOSHTIC Number:
  nn:10012298
• Citation:
  Trans Soc Min Metall Explor 1993 Jan; 292:1905-1910
• Federal Fiscal Year:
  1993
• Peer Reviewed:
  True
• Source Full Name:
  Transactions of the Society for Mining, Metallurgy, and Exploration
• Collection(s):
  National Institute for Occupational Safety and Health
• Main Document Checksum:
  urn:sha-512:a393972304b68e73b2e8c9037f00835f2272ebb0f9e9ad4e6fbcf6568b0eaa769a6c03cb068faf2c2c881d2eb2ba5421ef2d71c1b967c61135283fb86562c8f1
• Download URL:
  https://stacks.cdc.gov/view/cdc/220272/cdc_220272_DS1.pdf
• File Type:
  [PDF - 396.95 KB ]