Two Illustrative Examples to Show the Potential of Thermography for Process Monitoring and Control in Hot Rolling

This paper deals with the systematic analysis of thermographic images recorded during the hot rolling process of steel plates. In the first part, local disturbances are detected and different approaches for disturbance rejection are proposed. From the processed images, reliable mean temperature profiles in longitudinal and lateral direction are calculated. In the second part of the paper, an optimization problem is formulated and solved to calculate the plate velocity from the thermographic images. The approach proves to be a robust estimation method for the plate velocity. As the thermographic camera is already installed for temperature measurements, no additional measurement devices are needed so that investment and maintenance costs are saved.