BEGIN:VCALENDAR
VERSION:2.0
METHOD:PUBLISH
BEGIN:VEVENT
ORGANIZER;CN=ESTAD 2023:mailto:info@metec-estad.com
LOCATION:Room 27
SUMMARY:Rolling condition monitoring system using image processing
DESCRIPTION:" Commonly in a commercial hot rolling mill the operator monitors the rolling situation at the mill pulpit. If the operator recognizes some abnormal rolling situation, he/she will intervene by adjusting the appropriate rolling mill actuator. Recognizing abnormal rolling situations and adjusting the actuators depends on the operator skill level. If instead a computer can detect the abnormal rolling situation and can automatically and appropriately correct the situation based on specific controlling logic, it is thought that the rolled strip quality could become better and more stable rolling could be achieved. For this purpose two kinds of rolling condition monitoring systems have been developed using image processing technology and those systems have been verified offline. Those systems are “strip shape trend monitoring system” and “strip pinching detection system”. The former has been achieved by utilizing the shape change of a reflecting light area  on the strip, and the later has been achieved by utilizing the difference of the strip surface color between normal and abnormal rolling situation.
 The final target of this rolling condition monitoring system is to realize automatic intervention such as leveling or bending corrections by computer instead of manual intervention by operator. However, in the case of that the automatic intervention by computer is undesired, only manual intervention guidance indication for operators can be also selected.
 It enables detecting and notifying operators on critical conditions of rolling processes to increase quality and improve the productivity. With this paper we present an approach on how digital assistants can be deployed for industrial applications, especially hot rolling."

CLASS:PUBLIC
DTSTART:20230615T115000
DTEND:20230615T121000
END:VEVENT
END:VCALENDAR