Siemens technology at the LivingLab Process Industries

Siemens technology at the LivingLab Process Industries

The SIMATIC PCS 7 process control system for automation takes center stage
The interplay of a multitude of different products

Siemens technology in action

Siemens has several different products in use at the LivingLab. At the center of these is the SIMATIC PCS 7 process control system for automation. This system controls the pumps, regulates the temperature and pH level, and collects measurement data.

The COMOS software solution is used throughout the entire process, from engineering and simulation to maintenance and repair.

SIMATIC SIPAT consolidates the accumulated data and is responsible for process analysis and feedback to the process control system.

SIMIT software plays the main role in simulation and finally, SIMATIC IT eBR is used for MES applications. These technologies monitor quality specifications and critical parameters in real time. If a deviation occurs, the process can be readjusted without interrupting operation. As a result, quality control doesn’t just take place on the final product, but is already applied at multiple points throughout the process. Errors can therefore be detected or avoided at an early stage and the batches can be released more quickly.

With the SIMATIC Energy Manager PRO energy management system, Siemens also demonstrates how energy consumption in the process technology industry can be made transparent so that it can subsequently be optimized.

The Siemens products from the SCALANCE industrial communication network show how stable and secure communication networks can be set up in industrial environments.

It is very important for us to be able to test the prototypical research and developments in a real environment. We want to get customer feedback very quickly to see what the benefits of our prototypical research and development are.
Harald Loos, Head of Corporate Technology Siemens CEE
Photo gallery

Impressions from the LivingLab

Our goal is to simulate and model the ongoing processes and then identify a basis for optimizing these processes.
Werner Schöfberger, Head of Process Automation Siemens CEE