Siemens SCADA Goldwind Smart Farm Envision Energy Cloud

Wind Power Drone Inspection

EFLY provides advanced drone inspection solutions tailored for wind power operations. Our UAV systems offer fast, safe, and high-resolution inspection of wind turbines—both onshore and offshore—without requiring manual climbing or shutdowns.

Description

Efly Aviation’s self-developed drone hub system creates a closed-loop solution integrating autonomous hubs, AI diagnostics, and digital twin technologies, delivering:

24/7 unmanned inspection (5-15km coverage radius per drone hub)
0.1mm-level blade damage drone detection (GL2010 compliant)
Drone inspection 300% efficiency improvement (vs. manual methods)
Automated EN 13306 maintenance work order generation

Core Advantages---All-scenario Adaptive Drone Hub Specifications

Specification	Performance	Standard
Environmental Resilience	-20℃~60℃ / 15m/s wind resistance	IEC 60068-2
Protection Rating	IP56 enclosure / IK10 impact resistance	MIL-STD-810G
Charging Efficiency	25-minute fast charge	CAQI Certified
Operational Endurance	12 daily sorties	EN 300 328

Core Value Propositions for Wind Power Drone Inspection

Zero Manual Intervention

Autonomous charging/path planning/data transmission

Extreme environment operation

De-icing/salt-mist protection/sand-proof modules

Precision positioning

RTK cm-level accuracy + LiDAR obstacle avoidance

Smart diagnostics

Built-in BladeAI algorithm (87 defect types database)

Multi-drone coordination

Supports swarm operations

Rapid deployment

24-hour wind farm network commissioning

Application Scenarios of Drone Inspection

1. Offshore Corrosion Protection

Ship-based drones + underwater ROVs inspect salt orrosion/biofouling. Cathodic protection monitoring (±5mV accuracy) and coating degradation analysis extend tower life by 8-12 years, reducing O&M costs by 55%.

2. Leading Edge Erosion Control

LiDAR scanning (0.1mm accuracy) locates erosion points. Combined with 3D printing repair, reduces aerodynamic loss by 17%, boosting annual output by 2.3%.

3. Gearbox Early Warning

Oil debris spectroscopy (15 metal elements) and vibration analysis provide 120-day advance warning of bearing pitting, preventing ¥800k+ unplanned downtime per incident.

4. Icing Climate Operations

Thermal drones measure ice thickness (±2mm)
Auto-deicing robots (200m/hour efficiency)
Ensures power stability at -25℃

5. Retrofit Assessment

Digital twin comparisons identify tower settlement (1mm InSAR accuracy), bolt preload loss, etc., supporting 10-15 year life extension decisions.

Three Core Modules

1. Smart Hub Workstation

Hardware:

Temperature-controlled power cabin
Auto-centering charging
Self-diagnostics with fault reporting

Software:

Typhoon-mode automatic recall
Spare parts life early-warning system
30% energy-saving optimization algorithm

2. Drone Inspection Kit

Sensors:

1920×1080@120fps visible-light camera
640×512 IR thermal imager
32-line LiDAR

Capabilities:

≥0.5mm blade crack detection
98% bolt-loosening identification accuracy
3D lightning strike damage modeling

3. Digital Twin Platform

Features:

Defect severity classification
Repair priority decision model
Smart spare parts inventory forecasting

Dashboard:

Real-time blade health monitoring
Tower settlement trend analysis
Power generation loss prediction

Technical Q&A

Extreme weather response?

Meteorological station integration (2-hour early warning)
Sandstorm mode: Positive-pressure filtration
Storm mode: RF drying activation

SCADA integration?

Siemens SCADA
Goldwind Smart Farm
Envision Energy Cloud

Legacy turbine support?

Custom tower adaptations
Non-standard protocol decoding
Historical data migration

Contact Us

Let EFLY help you inspect smarter. Reach out today to learn how we’re enabling predictive maintenance and reducing inspection costs across the wind energy sector.

We will contact you as soon as possible!