A vision-based material tracking system for heavy plate rolling mills

Mark Tratnig; Johann Reisinger; Helmut Hlobil

doi:10.1117/12.736728

29 May 2007 A vision-based material tracking system for heavy plate rolling mills

Mark Tratnig, Johann Reisinger, Helmut Hlobil

Proceedings Volume 6356, Eighth International Conference on Quality Control by Artificial Vision; 63560B (2007) https://doi.org/10.1117/12.736728
Event: Eighth International Conference on Quality Control by Artificial Vision, 2007, Le Creusot, France

Abstract

A modern heavy plate rolling mill can process more than 20 slabs and plates simultaneously. To avoid material confusions during a compact occupancy and the permanent discharging and re-entering of parts, one must know the identity and position of each part at every moment. One possibility to determine the identity and position of each slab and plate is the application of a comprehensive visual-based tracking system. Compared to a tracking system that calculates the position of a plate based on the diameter and the turns of the transport rolls, a visual system is not corrupted by a position- and material dependent transmission slip. In this paper we therefore present a vision-based material tracking system for the 2-dimensional tracking of glowing material in harsh environment. It covers the production area from the plant's descaler to the pre-stand of the rolling mill and consists of four independent, synchronized overlapping cameras. The paper first presents the conceptual design of the tracking system - and continues then with the camera calibration, the determination of pixel contours, the data segmentation and the fitting & modelling of the objects bodies. In a next step, the work will then show the testing setup. It will be described how the material tracking system was implemented into the control system of the rolling mill and how the delivered tracking data was checked on its correctness. Finally, the paper presents some results. It will be shown that the position of some moving plates was estimated with a precision of approx. 0.5m. The results will be analyzed and it will be explained where the inaccuracies come from and how they eventually can be removed. The paper ends with a conclusion and an outlook on future work.

Citation Download Citation

Mark Tratnig, Johann Reisinger, and Helmut Hlobil "A vision-based material tracking system for heavy plate rolling mills", Proc. SPIE 6356, Eighth International Conference on Quality Control by Artificial Vision, 63560B (29 May 2007); https://doi.org/10.1117/12.736728

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