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A visual warning system for the identification of proximity detection events around a continuous mining machine.

Authors
Jobes-CC; Carr-JL; Reyes-MA
Source
Proceedings of the Human Factors and Ergonomics Society 57th Annual Meeting, September 30-October 4, 2013, San Diego, California Santa Monica, CA: Human Factors and Ergonomics Society, 2013 Sep; 57:265-269
NIOSHTIC No.
20043572
Abstract
Underground mobile mining machines pose a difficult safety challenge since their operators generally work in close proximity to these machines in very restricted spaces. Intelligent software for use with electromagnetic proximity detection systems has been developed that can accurately locate workers around mining machinery in real time. If a worker is located too close to the machine, the machine's operation can be partially or completely disabled to protect the workers from striking, pinning, and entanglement hazards. Researchers have developed a visual method of relaying to the operators the interdiction of their machine operations by this intelligent proximity detection system. Several lighting sequence scenarios were human subject tested for effectiveness using a computer-based multimedia platform. Analysis of the test results indicates that a "fast flash" lighting arrangement is the most effective scenario based upon subject preference, rating, and accuracy of proximity intrusion location
Keywords
Miners; Personal-protection; Personal-protective-equipment; Humans; Men; Underground-mining; Underground-miners; Machine-operators; Electromechanical-systems; Workers; Work-areas; Engineering-controls; Robotics; Injury-prevention; Accident-prevention
CODEN
PHFSDQ
Publication Date
20130930
Document Type
Conference/Symposia Proceedings
Fiscal Year
2013
NTIS Accession No.
NTIS Price
ISBN No.
9780945289432
ISSN
1071-1813
NIOSH Division
OMSHR
Priority Area
Mining
Source Name
Proceedings of the Human Factors and Ergonomics Society 57th Annual Meeting, September 30-October 4, 2013, San Diego, California
State
PA
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