Features
Maintenance Forecast
Track airframe health signals from your flight logs and know which aircraft needs service before it does not make it to the next survey day.
Scheduled maintenance instead of emergency repair
Reactive maintenance costs more than proactive maintenance every time. NVdrones tracks cumulative flight hours, motor temperature averages, battery charge cycles, and vibration index per airframe, generating a predicted next-service date that keeps your fleet available when you need it.
Per-airframe signal tracking
Four health signals monitored continuously from log data: motor temperature average, vibration index, battery cycle count, and gimbal axis load. Thresholds calibrated per airframe model.
Predicted service date
Based on current wear rates and historical flight cadence, NVdrones projects the date when each airframe will reach its recommended service threshold, giving your team a planning window of 2 to 6 weeks.
Email alerts before it matters
Pro and Team plans send alert emails when any signal crosses 80% of its threshold. You get the warning; you decide whether to accelerate the service window or operate with known margin.
Airframe Health
Real signal data, not generic checklists
The card to the right shows the live health panel for a DJI M300 RTK with 847 total flight hours. Signals are extracted from synchronized log files, not entered manually.
- Motor temperature tracked as rolling average across all motors per mission
- Vibration index derived from IMU log channels during cruise and hover phases
- Battery cycles counted per cell, aggregated per battery ID
- Gimbal axis loads inferred from gimbal stabilization log during flight
What maintenance forecasting tracks
Schedule maintenance on your terms
Connect your first airframe and start accumulating health history. Free plan includes maintenance signal tracking for one aircraft.