DocumentCode :
3489308
Title :
Application of signal processing technology for automatic underground coal mining machinery
Author :
Ralston, Jonathon C. ; Hainsworth, David W. ; McPhee, Ronald J. ; Reid, David C. ; Hargrave, Chad O.
Author_Institution :
CSIRO Exploration & Min., Kenmore, Qld., Australia
Volume :
2
fYear :
2003
fDate :
6-10 April 2003
Abstract :
The paper reports on an industrial application of modern signal processing technology in the development of a new automatic conveyor and bolting machine for underground coal mining. The machine is of special interest to the mining industry as it improves mine personnel safety as well as increasing the efficiency of roadway construction. We show how real-time signal processing component technologies are needed to overcome a range of sensing, monitoring, control, and navigational challenges. We also highlight some of the important practical issues associated with the deployment of intelligent processing systems in coal mining contexts.
Keywords :
automatic guided vehicles; control systems; mining; navigation; safety; signal processing; automatic conveyor-bolting machine; automatic mining machinery; control; intelligent processing systems; mine personnel safety; monitoring; navigation; real-time signal processing component technologies; roadway construction; sensing; signal processing technology; underground coal mining machinery; Construction industry; Intelligent systems; Machinery; Mining industry; Monitoring; Navigation; Paper technology; Personnel; Road safety; Signal processing;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Acoustics, Speech, and Signal Processing, 2003. Proceedings. (ICASSP '03). 2003 IEEE International Conference on
ISSN :
1520-6149
Print_ISBN :
0-7803-7663-3
Type :
conf
DOI :
10.1109/ICASSP.2003.1202341
Filename :
1202341
Link To Document :
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