Leveraging IIoT to improve machine safety in the mining industry

Society for Mining, Metallurgy & Exploration
M. McNinch R. Jacksha A. Miller
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Society for Mining, Metallurgy & Exploration
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2
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139 KB
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Abstract

Each year, hundreds of mine workers are involved in machinery-related accidents. Many of these accidents involve inadequate or improper use of lockout/tagout (LOTO) procedures. To mitigate the occurrence of these accidents, new safety methods are needed to monitor access to hazardous areas around operating machinery, improve documentation/monitoring of maintenance that requires shutdown of the machinery, and prevent unexpected startup or movement during machine maintenance activities. The U.S. National Institute for Occupational Safety and Health (NIOSH) is currently researching the application of Internet of Things (IoT) technologies to provide intelligent machine monitoring as part of a comprehensive LOTO program. This paper introduces NIOSH’s two-phase implementation of an IoT-based intelligent machine monitoring system.
Citation

APA: M. McNinch R. Jacksha A. Miller  Leveraging IIoT to improve machine safety in the mining industry

MLA: M. McNinch R. Jacksha A. Miller Leveraging IIoT to improve machine safety in the mining industry. Society for Mining, Metallurgy & Exploration,

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