Vision-Based Material Tracking in Heavy-Plate Rolling

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• 作者：Florian Schausberger^* ; ^{schausberger@acin.tuwien.ac.at" class="auth_mail" title="E-mail the corresponding author} ; Andreas Steinboeck^* ; ^{steinboeck@acin.tuwien.ac.at" class="auth_mail" title="E-mail the corresponding author} ; Andreas Kugi^* ; ^{kugi@acin.tuwien.ac.at" class="auth_mail" title="E-mail the corresponding author} ; Martin Jochum^** ; ^{martin.jochum@dillinger.biz" class="auth_mail" title="E-mail the corresponding author} ; Daniel Wild^** ; ^{daniel.wild@dillinger.biz" class="auth_mail" title="E-mail the corresponding author} ; Thomas Kiefer^** ; ^{thomas.kiefer@dillinger.biz" class="auth_mail" title="E-mail the corresponding author}
• 关键词：Hot rolling ; material tracking ; image processing ; thermographic imaging ; edge detection ; unconstrained optimization
• 刊名：IFAC-PapersOnLine
• 出版年：2016
• 出版时间：2016
• 年：2016
• 卷：49
• 期：20
• 页码：108-113
• 全文大小：1093 K

文摘

Knowledge of the position and the material conditions, e.g. the temperature, of the plates during hot rolling is important for process control. In fact, a precise material tracking system may help to prevent problems during the production process. This paper deals with the tracking of the rotation of heavy plates before and after the lateral expansion phase. The presented approach estimates the orientation and the position of the plate moving on the roller table. Images captured by a thermographic camera are utilized to identify the edges of the plate within the field of view. The detected edges are fed into an optimization-based estimation of the angular and translational position of the plate. Measurements of a plate from an industrial rolling mill demonstrate that the proposed method is robust against disturbances from the harsh environment nearby the mill stand.