Computer-aided analysis of human factors aspects of mining crewstations.
Public Domain
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1987/07/01
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Series: Mining Publications
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Description:The Bureau of Mines is researching a computer-aided analysis model for mining machine operator compartments. Based on proven models used in both the public and private sectors, and original software being developed by the Bureau, the model will perform the following: reach assessment, visibility analysis, structural analysis of protective canopy designs, illumination analysis (including both disability and discomfort glare ratings), operator fatigue analysis, and computation of an ingress-egress rating. The model will make extensive use of graphics to simplify data input and output. A three-dimensional manikin is used as the subject for many of the analyses. The model is intended for use by equipment manufacturers and mining companies during initial design work on new machines, and for evaluating proposed modifications to existing machines. The Bureau also plans to use the model as an accident investigation tool, where it can be used to reconstruct the events leading to certain equipment-related accidents. [Description provided by NIOSH]
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Pages in Document:44-60
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NIOSHTIC Number:nn:10002227
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Citation:Human engineering and human resources management in mining. Proceedings: Bureau of Mines Technology Transfer Seminar held at Pittsburgh, Pennsylvania on July 7-8, 1987; St. Louis, Missouri, July 15-16, 1987; and San Francisco, California, July 21-22, 1987. Pittsburgh, PA: U.S. Department of the Interior, Bureau of Mines, IC 9145, 1987 Jul; :44-60
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Federal Fiscal Year:1987
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Peer Reviewed:False
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Source Full Name:Human engineering and human resources management in mining. Proceedings: Bureau of Mines Technology Transfer Seminar held at Pittsburgh, Pennsylvania on July 7-8, 1987; St. Louis, Missouri, July 15-16, 1987; and San Francisco, California, July 21-22, 1987
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Main Document Checksum:urn:sha-512:7dc847c09aedf140bc731323e8446b4703641ae07d6ad9e7b7238120dab30b8f7dcaa9b938d34d035f87873a0fe7fec262d5d13dcaf290925445e82b6de3b57d
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