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