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Streamlined data handling thanks to Siemens

The heart of Premas 4.0 is a Simatic IoT2050 gateway. It collects the data and does bundling. This edge computing application, i.e. initial data processing directly on site, is important. Because the cement works are located on all continents and sometimes in remote areas where the network connection is not always good or the transmission of large amounts of data is expensive.

After the machine data has been bundled in a meaningful way by the robust and compact gateway, it is sent to the MindSphere cloud platform, where it is collected and analyzed. In this way, the plant operator always has all the necessary information about his systems and machines available in the easy-to-use dashboard application EasyDash. He can plan a necessary belt inspection in advance and see - presented in a user-friendly way - whether everything is OK during operation. If the system identifies an error or a critical machine condition, the responsible internal or external service employee is notified immediately.

"The cloud solution offers numerous advantages," Bruckhaus is convinced. In addition to the operator, who always has an eye on the condition of his system, the machine manufacturer, in this case AUMUND, also benefits. «Thanks to Premas 4.0, data from machines from all over the world come together. In this way, AUMUND can optimally and proactively support its customers and incorporate the knowledge gained from the data into the development," says Bruckhaus, describing the win-win situation. Last but not least, the MindSphere IoT platform is always up to date because the updates are automatic. "Another advantage of our system is that we don't process any confidential data and don't have to access the company's internal control system," adds Pinzon.

At least 150 Premas 4.0 systems around the world will go into service before the end of this year; The prospects for the future are promising: Thanks to the modular system, any system can in principle be equipped with the innovative solution - critical machines in particular, which have not been monitored up to now, are predestined for the use of Premas 4.0. No wonder the developers are making ambitious plans: "With the growing amount of data, we will definitely push machine learning for data analysis in order to be able to offer our customers even greater added value."