Trend Log Configuration in enteliWEB
Key Takeaway
How to configure trend logs in enteliWEB for BACnet point history — logging intervals, COV logging, chart display, multi-point overlay, and CSV export.
Quick Answer
Trend logs in enteliWEB record BACnet point values over time to SQL Server. Configure logging by interval (e.g., every 15 minutes) or by COV (on value change). View trends as charts in the browser, overlay multiple points for comparison, and export data to CSV for analysis.
Creating a Trend Log
- Select a point in the enteliWEB point browser
- Click Add Trend Log
- Choose the logging method: Interval or COV
- For interval logging, set the period (1 min, 5 min, 15 min, 1 hour)
- For COV logging, set the change threshold
- Save — enteliWEB begins recording
Viewing Trends
The trend viewer displays a time-series chart with configurable time range, auto-scaling, and zoom controls. Overlay multiple points on one chart to compare related values (e.g., zone temperature vs. discharge air temperature vs. valve position).
Storage and Retention
Trend data is stored in SQL Server. Configure retention globally or per log. Typical retention: 1-3 years at 15-minute intervals for key points. Monitor SQL database size to prevent disk exhaustion.
Export
Export trend data to CSV for analysis in Excel, Power BI, or other tools. Select the time range, points, and export format. For comparison with industrial historian configuration, see how Geo SCADA configures point historian settings.
Best Practices
- Trend zone temperatures, discharge air temperatures, and valve positions at 15-minute intervals
- Use COV logging for binary points (fan status, alarm states)
- Trend outside air temperature for diagnostics and energy analysis
- Keep interval logging at 5-15 minutes — 1-minute logging generates excessive data for most HVAC applications
Frequently Asked Questions
Retention is configurable. Typical deployments retain 1-3 years of trend data for key points at 15-minute intervals, limited by SQL Server storage capacity.
Interval logging records at fixed time intervals regardless of change. COV logging records only when the value changes beyond a threshold, more efficient for binary and slowly changing values.