How is data integrity ensured for BAS trend data?

• A. Validate time stamps, ensure correct sampling intervals, filter anomalies, and verify against calibrated sensors.
• B. Store data without time stamps.
• C. Use only maximum daily values.
• D. Trust vendor reports without validation.

Answer: (A)

Keeping BAS trend data trustworthy means enforcing time accuracy and measurement quality. Validate time stamps so each sample is placed correctly in time, which is essential for building an accurate history and aligning data with events or schedules. Ensure the sampling interval is consistent so you compare like with like and don’t misread rates of change or create artificial patterns. Filter anomalies to handle outliers, sensor glitches, or communication hiccups, ensuring the trend reflects real conditions rather than noise. Verify readings against calibrated sensors to catch drift or calibration errors and confirm that measurements match known good references. When these checks are in place, trend data can be trusted for analysis, commissioning, and ongoing fault detection. The other options undermine this: omitting time stamps removes timing context, using only daily maximum values loses detail, and accepting vendor reports without validation invites unchecked inaccuracies.