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Performance of an intelligent proximity detection system for continuous mining machines.
2013 SME Annual Meeting, February 24 - 27, Denver, Colorado, Preprint 13-042. Englewood, CO: Society for Mining, Metallurgy, and Exploration, Inc., 2013 Feb; :1-6
Continuous mining machines are extensively used in the underground coal mining industry. These machines are typically remote-controlled, and severe injuries and fatalities occur every year when a miner is struck or pinned by the machine. Proximity detection systems offer a means to prevent these types of injuries and fatalities by sensing the presence of a miner and disabling machine motion. Researchers at the National Institute for Occupational Safety and Health (NIOSH) have developed the Intelligent Proximity Detection (iPD) system to provide enhanced protection while minimizing false alarms. The iPD system uses a set of pre-defined rules to determine which machine motions are safe and which would present a potential hazard, and automatically disables only the potentially hazardous motions. This system has been installed and tested on a Joy 14CM continuous mining machine at the NIOSH Office of Mine Safety and Health Research in Pittsburgh. Under laboratory conditions, the achievable accuracy and performance of the iPD system has been quantified with respect to a number of variables including position of the conveyor boom, presence of the machine's trailing cable, and orientation of the miner-wearable component.
Mining-industry; Underground-mining; Mining-equipment; Coal-mining; Injuries; Injury-prevention; Accidents; Accident-prevention; Monitors; Monitoring-systems; Robotics; Safety-equipment; Safety-research; Safety-engineering; Engineering-controls
2013 SME Annual Meeting, February 24 - 27, Denver, Colorado, Preprint 13-042
Page last reviewed: May 5, 2020
Content source: National Institute for Occupational Safety and Health Education and Information Division