Underground Field Evaluations of Proximity Detection Technology on Continuous Mining Machines

Society for Mining, Metallurgy & Exploration
J. L. Carr
Organization:
Society for Mining, Metallurgy & Exploration
Pages:
5
File Size:
601 KB
Publication Date:
Feb 23, 2014

Abstract

On average, one to two fatalities occur every year when a miner is struck or pinned by a continuous mining machine (CMM). Proximity detection systems offer an effective means to prevent these types of injuries and fatalities by sensing the presence of a miner and automatically disabling machine motion. The Mine Safety and Health Administration (MSHA) is expected to finalize a regulation that would require the use of proximity detection systems on all CMMs. Approximately one-fourth of all CMMs in use in the United States are already equipped with such a system. The use of these systems will save lives, not only by automatically preventing accidents but also by acting as a tool for educating miners and reinforcing safe work practices. Researchers at the Office of Mine Safety and Health Research (OMSHR) have conducted a series of field evaluations to quantify the performance of these systems in an underground coal environment. These field evaluations measured the distance at which the warning and stop zones were activated. The technology provided consistent activation of the warning and stop zones under many of the conditions tested. However, some performance inconsistencies were observed which present opportunities to improve the reliability of proximity detection system technology. Some of the notable variables that caused significant changes in performance and should be considered in the design, implementation, and use of proximity detection systems include interaction with the trailing cable, performance changes during tramming, and orientation of the miner-worn component.
Citation

APA: J. L. Carr  (2014)  Underground Field Evaluations of Proximity Detection Technology on Continuous Mining Machines

MLA: J. L. Carr Underground Field Evaluations of Proximity Detection Technology on Continuous Mining Machines. Society for Mining, Metallurgy & Exploration, 2014.

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