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

Authors
Jobes-C; Carr-J; DuCarme-J; Patts-J
Source
2011 IEEE Industry Applications Society Annual Meeting: Forty-sixth IAS Annual Meeting, October 9-13, 2011, Orlando, Florida. Piscataway, NJ: Institute of Electrical and Electronics Engineers, 2011 Oct; :641-647
NIOSHTIC No.
20039813
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
Computer-models; Computer-software; Injury-prevention; Miners; Mine-workers; Mining; Mining-equipment; Mining-industry; Risk-analysis; Risk-factors; Safety-engineering; Safety-equipment; Safety-measures; Underground-mining; Warning-signals; Warning-systems; Author Keywords: mining equipment; magnetic sensors; sensor systems; sensor fusion; occupational safety
Contact
Christopher Jobes, National Institute for Occupational Safety and Health, Pittsburgh Research Laboratory, P.O. Box 18070, 626 Cochrans Mill Road, Pittsburgh, PA 15236
Publication Date
20111001
Document Type
Conference/Symposia Proceedings
Email Address
Christopher.Jobes@cdc.hhs.gov
Fiscal Year
2012
NTIS Accession No.
NTIS Price
ISBN No.
9781424494989
Identifying No.
B11122011
ISSN
0197-2618
NIOSH Division
OMSHR
Priority Area
Mining
Source Name
2011 IEEE Industry Applications Society Annual Meeting: Forty-sixth IAS Annual Meeting, October 9-13, 2011, Orlando, Florida
State
PA; FL; NJ
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