This is achieved with a model that combines process, machine and quality data. OnV VirtualSensors can predict quality parameters such as dry weight or filler content in the paper with the highest accuracy. OnQ GradeControl uses these values in case of a break and during startup in the corresponding controls in machine direction, resulting in fewer breaks and a quicker startup. Online predictions of strength characteristics and porosity, for example, are possible. Previously, such values were usually measured in the laboratory. With OnV VirtualSensors they are immediately available.
OnV VirtualSensors can be seamlessly integrated into the existing IT infrastructure, regardless of system providers.