Minimum Cost Pathfinding Algorithm for the Determination of Optimal Paths Under Airflow Constraints

Details

• Personal Author:
  Brown Requist K ; Momayez M
• Description:
  Pathfinding algorithms allow for the numerical determination of optimal paths of travel across many applications. These algorithms remain poorly defined for additional consideration of outside parameters, such as fluid flow, while considering contaminant transport problems. We have developed a pathfinding algorithm based on the A* search algorithm which considers the effect of fluid flow behaviors in two dimensions. This search algorithm returns the optimal path between two points in a setting containing impermeable boundaries, allowing for a computational approach to the determination of the most likely path of travel for contaminants or hazards of concern due to fluid flow. This modified A* search algorithm has applications in the statistical modeling of airborne contamination distributions, providing a relative estimate of the statistical relationship between two points in an underground mine's ventilation system. This method provides a significant improvement to the spatial resolution of minimum-cost path methods currently in use in mine ventilation network software. [Description provided by NIOSH]
• Subjects:
  Air Pollutants, Occupational Automation Mining Occupational Health Safety Ventilation
• Keywords:
  Air Contaminants Algorithms Author Keywords: A* Search Algorithm Fluid Flow Fluids Mine Contaminant Pathfinding Algorithm Underground Mines Underground Mining
• ISSN:
  2673-6489
• Document Type:
  Text
• Funding:
  Cooperative Agreement
• Genre:
  Journal Article
• Place as Subject:
  Arizona ; New Mexico ; OSHA Region 6 ; OSHA Region 9
• CIO:
  National Institute for Occupational Safety and Health (NIOSH)
• Topic:
  Workplace Safety & Health
• Location:
  North America
• Pages in Document:
  429-446
• Volume:
  4
• Issue:
  2
• NIOSHTIC Number:
  nn:20069840
• Citation:
  Mining 2024 Jun; 4(2):429-446
• Contact Point Address:
  Kate Brown Requist, Department of Mining and Geological Engineering, University of Arizona, 1235 E James E Rogers Way, Tucson, AZ 85721, USA
• Email:
  katebrown@arizona.edu
• Federal Fiscal Year:
  2024
• NORA Priority Area:
  Mining
• Performing Organization:
  New Mexico Institute of Mining & Technology
• Peer Reviewed:
  True
• Start Date:
  20210901
• Source Full Name:
  Mining
• End Date:
  20250831
• Collection(s):
  National Institute for Occupational Safety and Health
• Main Document Checksum:
  urn:sha-512:99555d4644d2ac8f4fc55340842c9ce6dff52b839e3b628c64a4d1294594230df6987a7cb20cc06b6396adf13d64479cd17f7caa23d8ae46295464f232d80d6f
• Download URL:
  https://stacks.cdc.gov/view/cdc/208186/cdc_208186_DS1.pdf
• File Type:
  [PDF - 1.38 MB ]