Analysis of SLAM-Based Lidar Data Quality Metrics for Geotechnical Underground Monitoring

Details

• Personal Author:
  Brune, Jürgen F. ; Fahle L ; Holley EA ; Petruska AJ ; Walton G
• Description:
  Adverse ground behavior events, such as convergence and ground falls, pose critical risks to underground mine safety and productivity. Today, monitoring of such failures is primarily conducted using legacy techniques with low spatial and temporal resolution while exposing workers to hazardous environments. This study assesses the potential of novel simultaneous localization and mapping (SLAM)-based light detection and ranging (Lidar) data quality for rapid, digital, and eventually autonomous mine-wide underground geotechnical monitoring. We derive a comprehensive suite of quality metrics based on tests in two underground mines for two state-of-the-art mobile laser scanning (MLS) systems. Our results provide evidence that SLAM-based MLS provides data of the quality required to detect geotechnically relevant changes while being significantly more efficient for large mine layouts when compared to traditional static systems. Additionally, we show that SLAM-specific processing can achieve an order of magnitude better relative accuracy relevant for change detection than quality metrics derived from traditionally deployed tests would suggest while reducing SLAM drift error by up to 90%. In collaboration with an operating block cave mine, we confirm these capabilities in field tests on a mine-wide scale and, for the first time, demonstrate methods of rockfall detection using MLS data. While more work is required to investigate optimal collection, processing, and utilization of MLS data, we demonstrate its potential to become an effective and widely applicable data source for rapid, accurate, and comprehensive geotechnical inspections. [Description provided by NIOSH]
• Subjects:
  Mining Occupational Health Safety
• Keywords:
  Author Keywords: Mobile Laser Scanning Change Detection Failure Analysis Geotechnical Engineering Geotechnical Monitoring Ground Stability Lasers Mobile Equipment Monitoring Systems Rockfall And Convergence Rock Mechanics Simultaneous Localization And Mapping SLAM Structural Failure Underground Mines

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• ISSN:
  2524-3462
• Document Type:
  Text
• Funding:
  Contract
• Genre:
  Journal Article
• Place as Subject:
  Colorado ; OSHA Region 8
• CIO:
  National Institute for Occupational Safety and Health (NIOSH)
• Topic:
  Workplace Safety & Health
• Location:
  North America
• Volume:
  39
• Issue:
  5
• NIOSHTIC Number:
  nn:20066140
• Citation:
  Min Metall Explor 2022 Oct; 39(5):1939-1960
• Contact Point Address:
  Lukas Fahle, Colorado School of Mines, Golden, CO, USA
• Email:
  lukasfahle@mines.edu
• Federal Fiscal Year:
  2023
• Performing Organization:
  Colorado School of Mines, Golden
• Peer Reviewed:
  True
• Start Date:
  20160915
• Source Full Name:
  Mining, Metallurgy & Exploration
• End Date:
  20210914
• Collection(s):
  National Institute for Occupational Safety and Health
• Main Document Checksum:
  urn:sha-512:dda4b4959fdeb02c06351c4e9ead7a38fa5ea3512d282baac73e702fd561c3eaf2cd33fee0f6decbda3a0975ad3f1ea56a21ad0957556151bfdf4f1f52b3f112
• Download URL:
  https://stacks.cdc.gov/view/cdc/212648/cdc_212648_DS1.pdf
• File Type:
  [PDF - 3.75 MB ]