Experimental Study of Improving a Mine Ventilation Network Model Using Continuously Monitored Airflow

Details

• Personal Author:
  Bahrami D ; Thomas RA ; Yuan L ; Zhou L
• Description:
  Mine ventilation simulation software has become an essential tool for the mining industry to design and manage mine ventilation operations. Building a well-calibrated mine ventilation network is time consuming, however, and requires great effort. In the last several decades, the mining industry has seen a steady increase in the use of air velocity sensors to monitor airflow and detect unexpected abnormal airflow in some key locations in underground mines. The present research work was carried out to explore the possibility and methodology of calibrating a ventilation network model using atmospheric monitoring system (AMS) data on a routine and ongoing basis. [Description provided by NIOSH]
• Subjects:
  Air Movements Mining Occupational Health Safety Software Ventilation
• Keywords:
  Air Flow Airflow Monitoring Atmospheric Monitoring System Author Keywords: Mine Ventilation Barometric Pressure Computerized Simulation Computer Software Monitoring Systems Sensors Underground Mines Ventilation Network

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• Series:
  Mining Publications
• ISSN:
  0026-5187
• Document Type:
  Text
• Genre:
  Abstract or Summary
• Place as Subject:
  OSHA Region 3 ; 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:
  47-48
• Volume:
  74
• Issue:
  8
• NIOSHTIC Number:
  nn:20066049
• Citation:
  Min Eng 2022 Aug; 74(8):47-48
• Email:
  lzhou2@cdc.gov
• Federal Fiscal Year:
  2022
• 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-512:4fe19136f1db5899a6b396752085ca11a5e3928ae329d36a8a1242dbbdf278b6153d1c5862e39d5fceec1e0c75c8b8ca3dee6ce4352a00b45f204af54a160395
• Download URL:
  https://stacks.cdc.gov/view/cdc/215561/cdc_215561_DS1.pdf
• File Type:
  [PDF - 220.54 KB ]