DocumentCode :
2601667
Title :
High accuracy inertial navigation for underground mining machinery
Author :
Dunn, Mark T. ; Thompson, Jeremy P. ; Reid, Peter B. ; Reid, David C.
Author_Institution :
CSIRO Earth Sci. & Resource Eng., Queensland Centre for Adv. Technol., Pullenvale, QLD, Australia
fYear :
2012
fDate :
20-24 Aug. 2012
Firstpage :
1179
Lastpage :
1183
Abstract :
The underground mining industry is constantly driven by the need to improve mining productivity, increase personnel safety, and secure environmental sustainability. Mining automation technology has shown significant potential to meet these needs by providing more accurate mining methods, incorporating sensing to optimally control equipment and increasing personnel safety through remote process operation. This paper details research being undertaken by CSIRO Earth Science and Resource Engineering (CESRE) Mining Technology group to advance the automation capability of underground coal mining equipment by developing new inertial navigation solutions. The research specifically targets a navigation solution for roadway development and the results obtained so far demonstrate that the system can provide the navigation accuracy required for the production environment.
Keywords :
coal; inertial navigation; mining equipment; occupational safety; optimal control; personnel; productivity; telerobotics; underground equipment; CESRE Mining Technology group; CSIRO Earth Science and Resource Engineering; high accuracy inertial navigation; mining automation technology; mining methods; mining productivity improvement; optimal equipment control; personnel safety; production environment; remote process operation; roadway development; secure environmental sustainability; underground coal mining equipment; underground mining industry; underground mining machinery; Accuracy; Automation; Global Positioning System; Inertial navigation; Sensors; Vehicles;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Automation Science and Engineering (CASE), 2012 IEEE International Conference on
Conference_Location :
Seoul
ISSN :
2161-8070
Print_ISBN :
978-1-4673-0429-0
Type :
conf
DOI :
10.1109/CoASE.2012.6386402
Filename :
6386402
Link To Document :
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