Predictive monitoring of Covestro production plants gets possible with the help of digital tools such as tablets. (Covestro)
Germany: Digitalization Strategy

Artificial Intelligence in Covestro's Production on the Rise

Covestro is already actively exploiting the benefits of digital transformation. The company now announced that important progress had been made in two areas: A pilot project has provided new findings for the predictive, intelligent maintenance of systems and is now continued at the production site in Caojing, China. Also, the global project for digitalizing and integrating the system landscape in production, "Optimized System Integration" (OSI2020) for short, is entering the next project phase.

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Radar level measurement at 80 GHz has created a sensation in recent years: Here, a Vegapuls 64 performs measurements through the thick glass of a glass container in a distillation plant for natural oils. The readings form the basis for automation of the entire process. (Peter Märkl / Micado)
Milestone Instrumentation

Successfully Focusing on the Core Business

While food lovers immediately think of cherry gateau and the regional ham, measurement and control engineers all around the world associate the Black Forest with level and pressure measurement. With close regional ties to its site in Schiltach right in the heart of the Black Forest, Vega has been focusing on these two measuring methods for decades and is regarded an innovation driver in the field. Radar measurement technology in particular has made a major contribution to the success of the company.

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 Cause-and-Effect-Check:  no transmission errors, consistent data at any time (Aucotec)
Fully Integrated

Cause & Effect in Engineering Base's Plant Solution

Anyone designing, building, operating or further developing plants today must at the same time depict state-of-the-art process technology, anticipate the paths of digitisation, take into account accelerated innovation cycles and be meaningful to all disciplines involved at all times. The advantages of the universal data model of Aucotec's cooperative engineering platform EB 2019 become clear in demanding engineering phases such as FEED or during the cause-and-effect check.

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