Share Email Print
cover

Proceedings Paper

Appliance of stereoscopy for bath level detection of steel casting pans
Author(s): Christian Rittenschober; Kurt S. Niel; Roman Rössler
Format Member Price Non-Member Price
PDF $14.40 $18.00

Paper Abstract

For an automatic tapping of a steel converter and for further processing steps it is necessary to measure the bath level of the steel casting pans (charging ladles). The harsh environment and the properties of molten steel avoid applications of standard bath level detection systems like based on laser, micro wave or super sonic. Instead of these methods within this paper a stereoscopic camera system is introduced which acquires pictures of the molten steel surface. It is possible to detect the bath level without complex equalization of the perspective by geometric calculations. To know which deformations can make the system defective is essential on designing the mechanical bodywork. Simulations with Matlab allow showing the influences of variations to the stereoscopic standard geometry and the boundaries of the system accuracy. Out of these calculations inaccuracies of camera angle appears to be the main parameter for failures. But a developed algorithm is possible to affect that angle after a tapping automatically. Furthermore different parameters have been analyzed to optimize the accuracy of the stereoscopic algorithm. Generally the investigations of the stereo system have shown which specifications including certain tolerances have to be fulfilled by the designer of the mechanical construction to get accurate and reliable results for the automation process.

Paper Details

Date Published: 17 February 2007
PDF: 8 pages
Proc. SPIE 6503, Machine Vision Applications in Industrial Inspection XV, 65030C (17 February 2007); doi: 10.1117/12.713107
Show Author Affiliations
Christian Rittenschober, voestalpine mechatronics GmbH (Austria)
Kurt S. Niel, Fachhochschule Wels (Austria)
Roman Rössler, voestalpine Stahl GmbH (Austria)


Published in SPIE Proceedings Vol. 6503:
Machine Vision Applications in Industrial Inspection XV
Fabrice Meriaudeau; Kurt S. Niel, Editor(s)

© SPIE. Terms of Use
Back to Top