Assessing the Feasibility of a Commercially Available Wireless Internet of Things System to Improve Conveyor Safety

Details

• Personal Author:
  Jacksha R ; Raj KV
• Description:
  Conveyor systems persist in being a source of injuries and fatalities in the mining industry. To reduce these incidents, better methods are needed to enhance the monitoring of probable hazards and improve situational awareness during the normal operation and maintenance of conveyor systems. To address these issues, researchers from the U.S. National Institute for Occupational Safety and Health (NIOSH) continue to investigate emerging technologies that show the potential to improve miner safety around conveyors. This paper presents a feasibility assessment by NIOSH researchers of a fully integrated, commercially available wireless Internet of Things (IoT) system to improve situational awareness around conveyor systems. [Description provided by NIOSH]
• Subjects:
  Hazardous Substances Mining Occupational Health Safety
• Keywords:
  Author Keywords: Internet Of Things Conveyor Belts Conveyor Safety Data Acquisition Emerging Technology Hazard Recognition Injury Prevention Mine Safety Monitoring Systems Wireless Communication
• Series:
  Mining Publications
• ISSN:
  0026-5187
• Document Type:
  Text
• Genre:
  Abstract or Summary
• Place as Subject:
  OSHA Region 10 ; Washington
• CIO:
  National Institute for Occupational Safety and Health (NIOSH)
• Division:
  SMRD - Spokane Mining Research Division
• Topic:
  Workplace Safety & Health
• Location:
  North America
• Pages in Document:
  37-38
• Volume:
  73
• Issue:
  2
• NIOSHTIC Number:
  nn:20062654
• Citation:
  Min Eng 2021 Feb; 73(2):37-38
• Contact Point Address:
  R. Jacksha, CDC NIOSH, Spokane Mining Research Division, Spokane WA 99207, USA
• Email:
  rjacksha@cdc.gov
• Federal Fiscal Year:
  2021
• NORA Priority Area:
  Mining
• Peer Reviewed:
  True
• Source Full Name:
  Mining Engineering
• Collection(s):
  National Institute for Occupational Safety and Health
• Main Document Checksum:
  urn:sha-512:97cb2fb4b09a4ec6a257779495ebeff9f88904cb0b7d7e1731190aafd46ff2636bb2394385c6d4b03e1e120baa0ada2d0a8f644b8acaefb17153de346f4f0fad
• Download URL:
  https://stacks.cdc.gov/view/cdc/215397/cdc_215397_DS1.pdf
• File Type:
  [PDF - 767.30 KB ]