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A shell-based magnetic field model for magnetic proximity detection systems.

Authors
Li-J; Carr-J; Jobes-C
Source
Saf Sci 2012 Mar; 50(3):463-471
NIOSHTIC No.
20040068
Abstract
Several magnetic proximity detection systems have been developed for mining vehicles and mobile machinery to protect nearby workers. Magnetic field generators are often used in these systems to establish magnetic fields around the equipment. A sensor worn by a worker provides a measurement of the magnetic flux density that is used to estimate the proximity to the machine. The proximity detection systems currently available for underground mining equipment are capable of identifying whether a worker is near the machine. However, it is a challenge for these systems to accurately locate the worker. Mining machines, which have fast-moving, articulated parts, present hazards that change depending on the situation at hand as well as the specific location of the worker. In addition, the dynamic nature and confined spaces of the mining environment often demand that the workers be close to the machinery. Therefore, in many cases, simply knowing the proximity of a worker may be inadequate. To provide the most effective protection, it would be advantageous to know the worker's exact location relative to specific parts of the machine. To lay the foundation for measuring such a location, we have developed a shell-based model of the magnetic flux density distribution for a ferrite-cored generator. This paper will present an analysis of the model along with a model construction process. Also presented are the laboratory test results of a prototype system that implements this model to determine the exact location of a magnetic sensor using the fields from two generators.
Keywords
Mining-industry; Mining-equipment; Mine-workers; Safety-equipment; Motor-vehicles; Magnetic-fields; Magnetic-properties; Machine-operation; Equipment-design; Coal-mining; Underground-mining; Detectors; Work-areas; Warning-devices; Warning-systems; Models; Electrical-generators; Electrical-hazards; Author Keywords: Magnetic proximity detection system; Magnetic field generator; Shell-based magnetic flux density model; Warning zone; Stop zone
Contact
Jingcheng Li, National Institute for Occupational Safety and Health, 626 Cochran's Mill Road, Pittsburgh, PA 15236, USA
CODEN
SSCIEO
Publication Date
20120301
Document Type
Journal Article
Email Address
Jingcheng.Li@cdc.hhs.gov
Fiscal Year
2012
NTIS Accession No.
NTIS Price
Identifying No.
B01182012
Issue of Publication
3
ISSN
0925-7535
NIOSH Division
OMSHR
Source Name
Safety Science
State
PA
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