Applications of real-time machine vision to the control of mining equipment


Autoria(s): Roberts, Jonathan M.; Corke, Peter I.; Winstanley, Graeme J.
Contribuinte(s)

Maeder, Anthony

Lovell, Brian

Data(s)

1995

Resumo

The mining industry presents us with a number of ideal applications for sensor based machine control because of the unstructured environment that exists within each mine. The aim of the research presented here is to increase the productivity of existing large compliant mining machines by retrofitting with enhanced sensing and control technology. The current research focusses on the automatic control of the swing motion cycle of a dragline and an automated roof bolting system. We have achieved: * closed-loop swing control of an one-tenth scale model dragline; * single degree of freedom closed-loop visual control of an electro-hydraulic manipulator in the lab developed from standard components.

Formato

application/pdf

Identificador

http://eprints.qut.edu.au/84984/

Publicador

Australian Pattern Recognition Society

Relação

http://eprints.qut.edu.au/84984/1/Roberts_DICTA-95.pdf

Roberts, Jonathan M., Corke, Peter I., & Winstanley, Graeme J. (1995) Applications of real-time machine vision to the control of mining equipment. In Maeder, Anthony & Lovell, Brian (Eds.) Proceedings of Digital Image Computing: Techniques and Applications (DICTA-95), Australian Pattern Recognition Society, Brisbane, Australia, pp. 667-672.

Direitos

Copyright 1995 [please consult the authors]

Individual publication can be photocopied for the purpose of private study or non-commercial teaching. For other copying, reprint or republication permission please contact the authors direct.

Fonte

School of Electrical Engineering & Computer Science; Science & Engineering Faculty

Palavras-Chave #Machine vision #Mining equipment #Real-time #Productivity #Retrofitting
Tipo

Conference Paper