Title :
Automated longwall shearer horizon control using thermal infrared-based seam tracking
Author :
Ralston, Jonathon C.
Author_Institution :
Min. Technol. Res. Group, QCAT, Pullenvale, QLD, Australia
Abstract :
This paper describes an industrial application of mining automation technology that uses a real-time geological sensing system to enable new machine guidance capabilities for longwall shearer operations in underground coal mining. The work is primarily motivated by the need to find ways to automatically maintain the longwall shearer´s position within the coal seam so that the mining resource can be optimally extracted. This process is important for improving the safety, productivity and sustainability of longwall mining. The current approach for resource tracking relies almost exclusively on manual inspection and so has significant practical drawbacks. As a solution to this problem, this paper describes a new sensing method designed to automatically track geological coal seam features, known as marker bands, using thermal infrared imaging. The feature detection and tracking tasks are described with real measurements to demonstrate the efficacy of the approach. The outcome is important as it represents a practical way to achieve automated horizon control and so help overcome a long standing issue in underground coal mining.
Keywords :
mining equipment; optical tracking; shearing; automated longwall shearer horizon control; geological coal seam features; industrial application; longwall mining; machine guidance capabilities; manual inspection; mining automation technology; real-time geological sensing system; thermal infrared-based seam tracking; underground coal mining; Automation; Cameras; Coal; Face; Feature extraction; Geology; Sensors;
Conference_Titel :
Automation Science and Engineering (CASE), 2012 IEEE International Conference on
Conference_Location :
Seoul
Print_ISBN :
978-1-4673-0429-0
DOI :
10.1109/CoASE.2012.6386442