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Development of a method to determine operator location using electromagnetic proximity detection.

Authors
Carr-JJ; Jobes-CC; Li-J
Source
ROSE 2010: International Workshop on RObotic and Sensors Environments, October 15-16, 2010, Phoenix, Arizona. Piscataway, NJ: Institute of Electrical and Electronics Engineers, 2010 Oct; :51-56
Link
NIOSHTIC No.
20037815
Abstract
Researchers at the National Institute for Occupational Safety and Health (NIOSH) are advancing the emerging technology of electromagnetic proximity detection, which provides a promising means of protecting workers around any machinery that presents striking, pinning or entanglement hazards. This technology is particularly applicable to mobile underground mining equipment such as remote-control continuous mining machines, which offer perhaps the most difficult safety challenges in the mining industry. Other industries have effectively implemented proximity detection technology, with successful test cases at surface and underground mines. However, applying this technology to remote-control continuous mining machines presents uniquely difficult challenges. These machines typically weigh close to 100,000 pounds and have heavy, articulated parts. Due to visibility and space limitations, machine operators often work in very close proximity to the machine despite the clear hazards that this proximity creates. To protect miners without preventing them from doing their jobs or causing nuisance alarms, intelligent electromagnetic proximity detection technology is now being developed at the NIOSH research facility in Pittsburgh. At the heart of this technology are a number of electromagnetic field generators mounted on a mining machine and magnetic flux density sensors built into a Personal Alarm Device (PAD) worn by the operator. In this paper, the authors present a novel algorithm created to calculate an accurate position based on PAD readings from multiple field generators coupled with a previously developed model of the generated magnetic field. The use of this algorithm allows for the calculation of an accurate PAD location relative to the mining machine. A prototype of this intelligent proximity detection system has been successfully implemented and demonstrated on a Joy 14CM continuous mining machine at the NIOSH research facility in Pittsburgh. This technology has the potential to significantly affect the mining industry by greatly advancing the current state-of-the-art in proximity detection technology, leading to increased operator safety and preventing serious injuries and fatalities.
Keywords
Accident-analysis; Accident-prevention; Accident-statistics; Electromagnetic-absorption; Electromagnetic-energy; Electromagnetic-fields; Epidemiology; Equipment-design; Magnetic-fields; Magnetic-properties; Mine-workers; Occupational-exposure; Occupational-health; Safety-engineering; Safety-equipment; Safety-measures; Safety-research; Statistical-analysis; Underground-miners; Underground-mining; Warning-devices; Work-areas; Work-environment; Worker-health; Work-operations; Workplace-monitoring; Workplace-studies; Author Keywords: coal mining; proximity detection; traumatic injuries; striking/pinning
Contact
National Institute for Occupational Safety and Health, Office of Mine Safety and Health Research, 626 Cochran's Mill Road, Pittsburgh, PA 15236
Publication Date
20100509
Document Type
Conference/Symposia Proceedings
Fiscal Year
2010
NTIS Accession No.
NTIS Price
ISBN No.
9781424471461
NIOSH Division
OMSHR
Priority Area
Mining
Source Name
ROSE 2010: International Workshop on RObotic and Sensors Environments, October 15-16, 2010, Phoenix, Arizona
State
PA
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