Trend analysis in Building Automation Systems (BAS) is the examination of historical data patterns to evaluate equipment performance, identify operational deviations, and forecast system behavior. By reviewing temperature, humidity, power consumption, and run-time trends over weeks or months, building operators detect gradual degradation and optimize control sequences. This analytical process is fundamental to predictive maintenance and energy conservation strategies.
Technical Details
BAS trend analysis tools display data as graphs spanning 7-day, 30-day, or 12-month periods. Analysis compares actual performance against baseline benchmarks and design specifications. Standard metrics include equipment cycling frequency, setpoint deviations, peak demand times, and equipment runtime correlations with occupancy or weather conditions.
Applications in HVAC
Operators identify heating or cooling loops losing control authority, detect sensor calibration drift, and verify that equipment responds correctly to seasonal changes. Trends reveal intermittent faults that single-point readings might miss. Energy teams use trend data to validate that recent adjustments produced expected savings.
Practical Significance
Trend analysis reduces emergency service calls by identifying problems before failure. Documented trends support recommendations for equipment replacement, sensor recalibration, or control logic modifications with quantifiable evidence.