DOI: 10.5593/SGEM2014/B13/S3.083


S. Beitler, M. Holm, A. Mozar, Prof. Dr.-Ing. M. Junker, C. Bohn
Wednesday 1 October 2014 by Libadmin2014

References: 14th International Multidisciplinary Scientific GeoConference SGEM 2014, www.sgem.org, SGEM2014 Conference Proceedings, ISBN 978-619-7105-09-4 / ISSN 1314-2704, June 19-25, 2014, Book 1, Vol. 3, 639-646 pp

Today coal is one of the most important energy sources and covers around 30% of the worldwide used primary energy in 2012 and remained the fastest-growing fossil fuel [1]. Based on current availability of renewable energies and the forecast of future resources of other fossil fuels, coal will play an important role also in the next decades. Especially the deep lying hard coal with its high energy content is interesting for energy generation. For a productive and safe exploitation of this deep lying hard coal, the automation of the cutting process will become more and more important in future. Like in other publications of the authors described, the goal of a fully automated longwall workface will be reached by a fusion and integration of all involved subsystems like the shearer and the roof support to control the exploitation machine by one superordinate control algorithm. One challenge for the automation is the data acquisition and data preparation for a superordinate controller out of these different subordinated subsystems. For an automated process the successful data preparation is the most important point. Control algorithms can only work correct with the input of the necessary data. The data preparation in a longwall workface is a complex task because several data from different subsystems are needed. These subsystems are often from complete different manufactures and have sensors of different local distribution and different sampling time. Also these systems are of different size and the cutting machine with its implemented sensors is moving through the seam and the local allocation of the measured values from these sensors has to be done also by the data preparation.

Keywords: longwall mining automation, automatic shearer guidance, data preparation; shield-data-based horizon control