In recent years, a great deal of effort has been put into automating mining equipment with the goal of improving worker health and safety and increasing mine productivity. Significant progress has been made in automating mining equipment such as load-haul-dumps and drills in underground environments where global positioning systems are unavailable. This paper addresses automating the task of positioning the shuttle-car (SC) under the continuous-miner (CM) coal-discharge conveyor during cutting and loading operations. A stereo depth camera is mounted on the SC. Machine learning based algorithms are applied on the camera’s output to identify the CM discharge conveyor and segment the scene into various regions such as roof, ribs, and personnel. This information is used to plan the shuttle car path to the CM discharge conveyor. The approach currently uses a 1/6th scale continuous miner and shuttle car in an appropriately scaled mock mine.
|Title of host publication||SME Annual Conference and Expo 2022|
|Number of pages||5|
|State||Published - 2022|
|Event||SME Annual Conference and Expo 2022 - Salt Lake City, United States|
Duration: Feb 27 2022 → Mar 2 2022
|Name||SME Annual Conference and Expo 2022|
|Conference||SME Annual Conference and Expo 2022|
|City||Salt Lake City|
|Period||2/27/22 → 3/2/22|
Bibliographical noteFunding Information:
Research reported in this presentation was supported by the National Institute for Occupational Safety and Health (NIOSH) under Contract Number 75D30120C08908. The content is solely the responsibility of the authors and does not necessarily represent the official views of NIOSH.
Copyright © 2022 by SME.
ASJC Scopus subject areas
- Geotechnical Engineering and Engineering Geology