Evaluation of Models for Interaction Probability in Autonomous Monitor and Control Environments

Details

• Personal Author:
  Bissonette R ; Sbai S
• Description:
  A critical component of implementing autonomous systems is the ability to use information from a robust sensory and information system to make sound, predictable, and repeatable decisions to assure safety. This means that any such system would need to evaluate what objects (people, equipment, boulders, etc.) of interest exist in that environment (with relevant data about identity, trajectory, characteristics, etc.), project a future continuum of those objects (including considerations for variabilities), and make control intervention choices to minimize risk due to exposures in the present operational area. The components of an overall system would include: a) sensor and data fusion, b) probability projection of future states, c) generation and evaluation of alternate futures, and d) implementation of best course of action to reduce risk. The National Institute for Occupational Safety and Health (NIOSH) Spokane Mining Research Division (SMRD) is studying this framework for applications for autonomous mining equipment. This paper focuses on using information from the sensor fusion engine to generate a continuous projection of future and alternate states (b and c above) incorporating the factors of confidence, accuracy, tolerance, and other variabilities. We refer to this as Machine Situational Awareness (MSA). [Description provided by NIOSH]
• Subjects:
  Mining Occupational Health Safety
• Keywords:
  Emerging Technology Equipment Design Machine Safety Mining Equipment Sensors
• Series:
  Mining Publications
• Publisher:
  Society for Mining, Metallurgy & Exploration (SME)
• Document Type:
  Text
• Genre:
  Proceedings
• Place as Subject:
  OSHA Region 10 ; Washington
• CIO:
  National Institute for Occupational Safety and Health (NIOSH)
• Division:
  SMRD - Spokane Mining Research Division
• Topic:
  Workplace Safety & Health
• Location:
  North America
• Pages in Document:
  1-10
• NIOSHTIC Number:
  nn:20068652
• Citation:
  Application of Computers and Operations Research in the Mineral Industry (APCOM) Conference, June 26-28, 2023, Rapid City, South Dakota. Englewood, CO: Society for Mining, Metallurgy & Exploration (SME), 2023 Jun; :1-10
• Federal Fiscal Year:
  2023
• NORA Priority Area:
  Mining
• Peer Reviewed:
  False
• Source Full Name:
  Application of Computers and Operations Research in the Mineral Industry (APCOM) Conference, June 26-28, 2023, Rapid City, South Dakota
• Collection(s):
  National Institute for Occupational Safety and Health
• Main Document Checksum:
  urn:sha-512:889db1724f04b4f7cae8447ab235ea99263bf8ccc3d2b88509602f0ed9d3a6998e9c4a6546beae3e954241714339d95e37e34a3666d9f19416acb49d7c11fc7d
• Download URL:
  https://stacks.cdc.gov/view/cdc/215629/cdc_215629_DS1.pdf
• File Type:
  [PDF - 998.01 KB ]