Trends
Reduce
Reduce is a data reduction method that provides better accuracy than simple sampling by using optimized logic. Unlike Quick Reduce, this method avoids skipping over critical data like NULL values or spikes. It balances performance and fidelity—making it a suitable choice for most industrial use cases.
How it works:
- Reduces the dataset to the specified
Max Points - Uses advanced logic to preserve essential values within each reduction window
- Avoids skipping over important changes or outliers in the data
Industrial Use Case
Scenario: Batch Process Pressure Monitoring
In a chemical plant, a batch process generates pressure curves. Operators want to view the pressure trend over a full cycle (2 hours) without losing short spikes that indicate valve activity or anomalies.
Problem:
- Data is collected every 2 seconds
- Without reduction, the chart would be overloaded
- But simple sampling might miss sharp pressure spikes
Solution:
Use the Reduce method:
- Keeps key changes and anomalies
- Provides a simplified view while retaining data integrity
- Performs well even on mid-tier HMI devices
Max Points