Problem: The operations supervisor needs a tool that allows

him to over impose different data sets with a minimal programming interaction.
Data sets are constantly gather and saved by more than 50 sensors through out the plant. It is necessary to be able to visualize how this data set relates to each other under a time domain.

Solution: Build a database that will import flat tables into its RDBMS and create pre-defined queries that are flexible enough for the operator to add or remove data sets.

Result: The operator supervisor discovered different ongoing equipment malfunctions and vibrations out of range as well as inaccurate set points. Therefore, improving efficiency and predicting and preventing equipment malfunctions.

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