Thanks for connecting with us at the AVEVA World Conference 2022 where we shared how we’re helping Covestro augment its OSIsoft PI data by inspecting sensor data quality. By assessing asset health in real time, Covestro hopes to prevent unplanned outages.
Learn more about APERIO DataWise for PI by downloading our free eBook.
Sensor Health and Data Quality have been areas of focus for Covestro for several years. In order to identify potential problems in this area, Covestro wrote their own PI ACE application called Redundant Sensor Diagnostics (RSD). While this internally-developed diagnostics solution provided some interesting insights into the state of the data and the health of the sensors, it fell short of being able to identify failing sensors, especially with redundant sensors. After several high-profile and costly failures, Covestro made it a priority to find a partner that could leverage the data stored in PI historians with a solution specifically addressing sensor health. The goal of the initiative was to minimize operational risks and reduce the extensive financial impact of those events by focusing on preventing unplanned outages and lowering maintenance costs.