Case Study: Precision Wind Turbine Blade Inspection Using AERO LiDAR & DJI M350 RTK
Client
Confidential – Major Wind Energy Operator (VIC, Australia)
Location
Western Victoria Wind Farm Region
Scope of Work
- Full-fleet inspection of 42 utility-scale wind turbines (3.4 MW each)
- Target: Blade surface damage, lightning strike detection, and structural defect monitoring
- Utilised cutting-edge drone and sensor technology for high-accuracy results
Technology Stack
Aircraft: DJI Matrice 350 RTK – IP55 rated, 55-min flight time, centimetre-level GNSS precision
Sensor Payload: AERO LiDAR with RGB fusion – 360° coverage, 1 cm surface resolution
Inspection Platform: Zietview – AI-powered reporting and defect tracking suite
Additional Tools: GNSS RTK base station, Cree LED lighting for low-light inspections
Objectives
- Replace traditional rope-access & ground-based inspections with faster, safer UAV methods
- Deliver 3D blade models detecting micro-cracks, erosion, delamination, lightning strike damage
- Provide consistent reporting via cloud-based engineering dashboards
- Maintain strict safety compliance with CASA regulations and site protocols
Process
- Pre-Flight Planning
- Geofencing & CASA flight approvals
- RTK base setup for sub-5 cm positional accuracy
- Custom flight paths wrapping all three blades from multiple angles
- Flight Operations
- M350 RTK flown under stable winds (< 10 m/s)
- ~12 minutes per turbine using dual-operator control
- Simultaneous LiDAR & RGB capture for 3D point clouds & high-res imagery
- Data Processing & Analysis
- Raw data uploaded to secure Zietview cloud instance
- AI detection of cracks, wear patterns, and tip burns
- Engineering review with remote annotations
- Reporting & Handover
- Interactive digital twins for each turbine
- Geo-tagged heatmaps and condition trends
- Maintenance priority reports delivered within 48 hours
Results
- 100% of blades inspected in under 5 days
- Zero downtime of turbine operation during inspections
- 70% cost reduction vs. rope-access methods
- Detected 16 blades with early-stage cracking & 3 with potential delamination
- Client fully integrated Zietview dashboard into maintenance workflows
Client Feedback
“Drone Hire Australia’s inspection workflow using the M350 and AERO system gave us rapid, detailed insight into our assets without climbing a tower. The Zietview reports helped us act before minor issues became major.”
— Wind Operations Manager, Confidential Energy Group
Why This Matters
As Australia accelerates renewable energy adoption, wind farm operators require scalable, accurate, and safe inspection solutions. This project showcases how combining advanced UAV technology with AI-powered analytics:
- Reduces inspection costs
- Increases turbine uptime
- Improves worker safety
- Enables proactive maintenance decisions
