Exploring the Role of Digital Twin Systems in Mine Safety

Details

• Journal Article:
  Mining Engineering
• Personal Author:
  Cheng, Marvin ; Carr, Jacob L. ; Bissonette, Bob ; Knuth, Rebecca ; Haas, Emily J.
• Description:
  Digital twin systems have revolutionized the way the mining industry addresses safety, particularly when deploying robotic and other more advanced technologies. Here, Cheng et al discussed previous and current research underway to identify the ways that safety professionals can best leverage these technologies to better identify potential hazards, optimize workflows and ensure compliance with safety regulations prior to introducing new technologies, including robots. Moving forward, when combined with human behavior modeling, digital twin systems may also be used to improve training, simulate emergency scenarios and support human-machine collaboration, ultimately contributing to safer and more resilient mining operations.
• Subjects:
  Mining Occupational Health Robotics Safety
• Keywords:
  Robotics; Emerging technology; Mine safety; Mining engineering; Artificial intelligence; Risk management; Simulation methods
• Source:
  Min Eng 2025 Oct; 77(10):28-31
• Series:
  Mining Publications
• ISSN:
  0026-5187
• Document Type:
  Text
• Genre:
  Journal Article
• Place as Subject:
  West Virginia ; Pennsylvania ; Washington ; Philadelphia Region [OSHA] ; San Francisco Region [OSHA]
• CIO:
  National Institute for Occupational Safety and Health (NIOSH)
• Division:
  DSR - Division of Safety Research ; PMRD - Pittsburgh Mining Research Division ; SMRD - Spokane Mining Research Division
• Topic:
  Workplace Safety & Health
• Location:
  North America
• Pages in Document:
  5 pdf pages
• Volume:
  77
• Issue:
  10
• NIOSHTIC Number:
  nn:20071517
• Email:
  ejhaas@cdc.gov
• Federal Fiscal Year:
  2026
• Peer Reviewed:
  True
• Collection(s):
  National Institute for Occupational Safety and Health
• Main Document Checksum:
  urn:sha-512:afebe430b5438fd1fef13249a2a81d0b0e94e6e2bf6385ae46a20d56334969bdecff72abe236449378d802785825e57c9fed912723b698786c3ed7fe131eaa7e
• Download URL:
  https://stacks.cdc.gov/view/cdc/259114/cdc_259114_DS1.pdf
• File Type:
  [PDF - 3.72 MB ]