In this case study you learn from Germany's leading maintenance service provider how they secure and share their expert knowledge.

Learn from this customer case study how product quality and productivity can be increased using plant intelligence based on data insights.

Anyone who is well acquainted with industrial systems will hear immediately if equipment is running differently than normal. But changes in the machine condition cannot always be detected efficiently with regular inspection rounds. Machine Learning can give an answer.

PIDGraph enables a cost-efficient and fast conversion and digitalization of legacy P&IDs. This use case describes how PIDGraph’ s Deep Graph Analysis is applied for equipment isolation in an oil & gas plant.

Read in this use case how module engineering based on a deep graph analysis of a P&ID enables a time- and cost-effective way to create e.g. asset hierarchies, and then extract valuable information from the data obtained.

This use case demonstrates how we provided insight into variation in batch duration, and duration of steps within batches, for a pharmaceutical customer’s filter dryer.