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The National Institute for Occupational Safety and Health (NIOSH)





Mining Publication: Leveraging IIoT to Improve Machine Safety in the Mining Industry
Keywords: Lockout tagout Proximity detection systems
Original creation date: August 2019
Authors: M McNinch, D Parks, R Jacksha, A Miller
Peer Reviewed Journal Article - August 2019
Go to Web Page
NIOSHTIC2 Number: 20056088
Min Metall Explor 2019 Aug; 36(4):675-681
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 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. Phase one is the installation of a proof-of-concept system at a concrete batch plant, while phase two involves scaling up the system to include additional sensors, more detailed safety/performance metrics, proximity detection, and predictive failure analysis.
First page of Leveraging IIoT to Improve Machine Safety in the Mining IndustryPeer Reviewed Journal Article - August 2019
Go to Web Page
NIOSHTIC2 Number: 20056088
Min Metall Explor 2019 Aug; 36(4):675-681
See Also
An Active Proximity Warning System for Surface and Underground Mining Applications
Engineering Considerations and Selection Criteria for Proximity Warning Systems for Mining Operations
Innovative Safety Interventions: Feasibility of Using Intelligent Video for Machinery Applications
Intelligent Safety Technology for Mining Machinery
Preventing Collisions Involving Surface Mining Equipment: A GPS-based Approach
Protecting Miners from Electrical Arcing Injury
Recommendations for Evaluating & Implementing Proximity Warning Systems on Surface Mining Equipment
A Shell-Based Magnetic Field Model for Magnetic Proximity Detection Systems
Surface Haulage Truck Research
Test Results of Collision Warning Systems for Surface Mining Dump Trucks
Page last reviewed: March 2, 2022
Page last updated: March 2, 2022
Content source: National Institute for Occupational Safety and Health, Mining Program
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