Operational
Mechanism.
Technical details of field integration, data flow, and autonomous decision algorithms.
Edge Hardware
High Resolution 3D LiDAR
HD Macro Optical Camera
Ultrasonic Thickness Gauge
Artificial Intelligence
Navigation (SLAM)
Circular autonomous route around turbine base; precision positioning under blade root
Perception & Analysis
Composite Material Surface Crack and Delamination Detection (ResNet-50 + Point Cloud Fusion)
Autonomous Workflow
The robot reaches the turbine base and positions under the blade root while nacelle rotation is paused.
LiDAR and optical camera perform combined scanning to detect micro-cracks, surface wear, and paint blistering at the blade root.
Ultrasonic thickness gauge verifies thinning in composite layer depth with millimetric precision.
All findings are transmitted to SCADA with turbine number, blade position, and GPS coordinates; maintenance priority ranking is auto-generated.
Operational ROI.
Strategic Decision.
EXPECTED BALANCE IMPACT
Annual $72,000 inspection and damage prevention savings. ROI: 3.6x | Payback: 1.4 Years.
Prevents average $800K+ damage caused by a single blade failure through early detection.
Review Architecture
Plans with
Professional Presentation.
Our engineers are ready to present this scenario specially prepared for your facility to your C-Level team. Start your autonomy transformation today.