The trending data saved in building automation system
(BAS) trend logs are used to determine whether HVAC
equipment is functioning as intended, and to evaluate
opportunities for energy conservation and cost
savings. Trend logs are often the basis upon which new
equipment installations are certified. Unfortunately,
neither the data format nor the file architecture of
trend logs are yet standardized across control vendors.

Before trend data becomes useful for operational
evaluation and control as well as fault detection and
diagnostics (FDD), the trend date, time and point
value must be extracted from each trend recording,
regardless of data format or file architecture, and
normalized in a spreadsheet to a date and time scale.
The normalization process may require correction of
data anomalies as well as the application of various
smoothing and change of value techniques.

The lack of standardization in recording trend logs
makes the collection and compilation of accurate

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