Paper University

The study of paper technology in Munich

Automation Excursion 2020 at Siemens SIPAPAER DCS Training As part of the automation course taught by Dr. Tobias A. Kleemann (MUAS), 14 students from the Munich University of Applied Sciences’ Paper Technology Master´s programme have successfully completed the Siemens SIPAPER DCS workshop 2020. Under the direction of Dr. Hermann Schwarz (Siemens), these students from several countries participated in a professional seminar taught by Mr. Joao Fernandes (Siemens), specifically tailored to them, to teach the programming and operation of the Siemens SIMATIC PCS 7 system. On the final day, Mr. Gerd Michaelis (Siemens) expanded on this and presented the Siemens SIPAPER Drives APL, diving into the automation and electrical systems necessary for advanced motor controls on a modern paper machine.
Due to the remaining pandemic lockdown restrictions, the excursion took place as an entirely digital video conference for the very first time. The various presentations were shown using screen sharing and the extensive hands-on workshop component was condensed into a video tutorial conducted expertly by Mr. Joao Fernandes – live from the Siemens headquaters in Erlangen, Germany. In this way the core information was successfully taught remotely, despite the difficult circumstances. With the SIMATIC PCS 7 training and the SIPAPER DCS APL overview the audience gained valuable experience in basic programming, software implementation, hardware configuration and plant layout in the PCS 7 system. Siemens PCS 7 or similar control systems are in use in all modern paper plants. Process engineers are often confronted with problems concerning automation and process layouts and therefore the training conducted by Siemens offers a great opportunity to gain familiarity and understanding in such areas. The students from MUAS and Dr. Kleemann thank Siemens for the successful digital workshop. The commitment is valued particularly, considering these difficult times. Author: Dr. T.A. Kleemann