Covestro

Covestro’s story is a common one in the manufacturing world. The company had a wealth of data streaming in from equipment and processes: data that could theoretically be harnessed and acted upon. But its data was difficult to access, stored in local silos, and cut off from sharing and analysis by the lack of enterprise-wide data standards. The fix for Covestro: Making full use of its PI System. Instead of a series of data islands built around local PI System servers, Covestro now has a single data hub that allows for easy collaboration, advanced analysis, and access to real-time, context-rich data across the company. With help from OSIsoft, a multidisciplinary team of engineers at Covestro built a flexible, accessible data hub from the ground up, first standardizing how data is captured and stored, then organizing it within a virtual model of the company’s physical assets, and finally using the newly accessible data to build powerful visualization and simulation tools. The system gives Covestro engineers easy access to a variety of advanced analytics, from diagnosing problems with common manufacturing processes to using machine learning tools to detect anomalies, to performing advanced forecasts and scenario testing.