• DocumentCode
    2286661
  • Title

    Determining proximity warning and action zones for a magnetic proximity detection system

  • Author

    Jobes, Christopher ; Carr, Jacob ; DuCarme, Joseph ; Patts, Justin

  • Author_Institution
    Nat. Inst. for Occupational Safety & Health, Pittsburgh, PA, USA
  • fYear
    2011
  • fDate
    9-13 Oct. 2011
  • Firstpage
    1
  • Lastpage
    7
  • Abstract
    Researchers at the National Institute for Occupational Safety and Health (NIOSH) are developing intelligent software for use with electromagnetic proximity detection systems. The technology accurately locates workers around mining machines in real time. With the accurate locations of the workers around the equipment being known, their safety status can be evaluated. If a worker is located dangerously close to a machine, the machine can be partially or completely disabled to protect the worker from striking, pinning and entanglement hazards according to pre-defined logic. The technology is particularly applicable to mobile underground mining machines which offer difficult safety challenges in that operators generally work in close proximity to these machines in very restricted spaces. With use of the intelligent proximity detection system, nuisance alarms and failures to alarm are also expected to be sharply reduced. An effective proximity warning and action zone scheme is necessary for safe implementation and will improve the acceptance of a magnetic proximity detection system by underground workers.
  • Keywords
    alarm systems; electromagnetic waves; knowledge based systems; labour resources; magnetic sensors; mining equipment; mining industry; occupational safety; NIOSH; National Institute for Occupational Safety and Health; alarms; electromagnetic proximity detection system; hazards; intelligent proximity detection system; intelligent software; mining machines; mobile underground mining machines; underground workers safety; Coordinate measuring machines; Equations; Mathematical model; Occupational safety; Uncertainty; Visualization; magnetic sensors; mining equipment; occupational safety; sensor fusion; sensor systems;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Industry Applications Society Annual Meeting (IAS), 2011 IEEE
  • Conference_Location
    Orlando, FL
  • ISSN
    0197-2618
  • Print_ISBN
    978-1-4244-9498-9
  • Type

    conf

  • DOI
    10.1109/IAS.2011.6074392
  • Filename
    6074392