Automation in underground mining enhances safety and leads to economic efficiency. In the past many efforts have been made on the automation of longwall shearer operation. With respect to the ultimate goal of automation, ie self controlled operation, coal bed boundary detection is one of the key problems. For longwall human labor is necessary in order to detect the exact position of the coal seam to be excavated. The authors present a sensor concept based on infrared technology and pattern recognition which will solve this problem. The very harsh underground conditions set high demands on the implemented sensors. The combination of infrared sensors and powerful processing algorithms is part of the innovative concept for automation of the new Eickhoff Bergbautechnik GmbH SL 750 shearer loader. The multi-sensor automation system EiControlPlus which is designed for the complete detection of the machine environment fills in the gap in the coal-excavation automation by building a recognition system that turns the shearer loader into an intelligent machine' which is capable of detecting the correct position of the seam to be excavated and thus enables human-free coal mining._x000D_
FORMAL CITATION:Nienhaus, K, Mavroudis, F and Warcholik, M, 2010. Coal bed boundary detection using infrared technology for longwall shearer automation, in Proceedings Mine Planning and Equipment Selection (MPES) 2010, pp 267-274 (The Australasian Institute of Mining and Metallurgy: Melbourne).