Analysis, Conversion, and Visualization of Survey Position and Magnetic Flux Density Data for Proximity Detection System

Details

• Personal Author:
  Carr, Jacob L. ; Homce, Gerald T. ; Jobes, Christopher C. ; Smith A
• Description:
  Underground continuous mining machines pose a difficult safety challenge since their operators generally work in close proximity to these machines in very restricted spaces. Intelligent software for use with magnetic proximity detection systems has been shown to accurately locate workers around mining machinery in real time. Calibrating these systems requires the manipulation of a lot of data to determine the calibration constants. Researchers have developed software to analyze, convert, and visualize data acquired during this calibration process to more accurately model magnetic fields and their interaction with the environment. This paper details the background, development, and operation of the resulting application software focusing on the utility of the graphical user interface to visualize the magnetic field calibration data. The refined data developed by this process can then be utilized by the proximity detection system to more accurately identify the location of miners working in an underground mining environment. [Description provided by NIOSH]
• Subjects:
  Mining Occupational Health Safety Safety Management
• Keywords:
  Coal Mining Computer Assisted Mining Computer Software Continuous Mining Data Processing Environmental Monitoring Environmental Technology Equipment Design Hazard Recognition Machine Operation Machine Safety Magnetic Fields Mining-industry Mining Equipment Models Performance Capability Proximity Detection Underground Mining Visual Aids

  More +
• Series:
  Mining Publications
• Publisher:
  Society for Mining, Metallurgy, and Exploration, Inc.
• Document Type:
  Text
• Genre:
  Proceedings
• Place as Subject:
  Arizona ; OSHA Region 3 ; OSHA Region 9 ; Pennsylvania
• CIO:
  National Institute for Occupational Safety and Health (NIOSH)
• Division:
  PMRD - Pittsburgh Mining Research Division
• Topic:
  Workplace Safety & Health
• Location:
  North America
• Pages in Document:
  1-5
• NIOSHTIC Number:
  nn:20048279
• Citation:
  2016 SME Annual Meeting, February 21-24, 2016, Phoenix, Arizona, preprint 16-011. Englewood, CO: Society for Mining, Metallurgy, and Exploration, Inc., 2016 Feb; :1-5
• Federal Fiscal Year:
  2016
• Peer Reviewed:
  False
• Source Full Name:
  2016 SME Annual Meeting, February 21-24, 2016, Phoenix, Arizona, preprint 16-011
• Collection(s):
  National Institute for Occupational Safety and Health
• Main Document Checksum:
  urn:sha-512:3c2a2512173c7e3697b8bc30fda327d7a076ef54abc2c81913f416eb7cda05da136c9567c48823d2e5101e53fef69e15ffb207a10918adbe29ef0dd2f19a411c
• Download URL:
  https://stacks.cdc.gov/view/cdc/228277/cdc_228277_DS1.pdf
• File Type:
  [PDF - 472.90 KB ]