Performance Calculations and Aggregations in Data Historian

One of Data Historian's stand-out features is its ability to perform real-time calculations and aggregations on the data it logs. This capability is particularly useful in environments requiring high-frequency data analysis, such as emission monitoring, where data is logged and analyzed in real-time for compliance reporting.

• Aggregate Groups: These are pre-configured data evaluation periods, which enable efficient on-server data analysis. Aggregates such as maximum, minimum, and average can be calculated over defined time frames.
• Performance Calculations: Users can set up performance calculations to measure key operational metrics, such as the best-performing machine or the sum of products over time.

You can create historical expressions to calculate key performance indicators (KPIs), such as:

• Maintenance efficiency
• Statistical information
• Totalizers

You can even generate simple alarms. Calculations can be scheduled based on periods or value expressions. Data Historian also includes a powerful performance calculation analyzer.

• Data is evaluated on the server side, and an evaluation sequence is sent back to the client.
• The evaluation sequence is viewed in the evaluation viewer on the client side.
• Support for calculation functions (step into)

If newer data becomes available after the calculation is processed, Data Historian can be configured to re-process (recalculate) related calculation(s) based on a user-defined time period.