Operational
Mechanism.
Technical details of field integration, data flow, and autonomous decision algorithms.
Edge Hardware
High Frequency Acoustic Sensor Array
Ultrasonic Thickness Gauge
Thermal Camera
Vibration Accelerometer
Artificial Intelligence
Navigation (SLAM)
Inclined and wet surface SLAM navigation along penstock pipeline
Perception & Analysis
Cavitation Frequency Analysis and Pipe Wall Thickness Trend Prediction (Predictive)
Autonomous Workflow
The robot patrols along the HPP penstock pipeline; acoustic sensors continuously listen for ultrasonic frequencies caused by cavitation.
Ultrasonic thickness gauge periodically measures pipe wall thickness, calculates wear trend, and predicts remaining life.
Vibration accelerometer and thermal camera data are correlated to evaluate turbine runner and lateral wear risk.
Alarm transmitted to SCADA when cavitation level exceeds critical threshold; turbine operating parameters automatically optimized.
Operational ROI.
Strategic Decision.
EXPECTED BALANCE IMPACT
Annual $88,000 maintenance and yield optimization savings. ROI: 4.4x | Payback: 1.0 Years.
Extends life by 3+ years by deferring average $350K turbine runner replacement cost through early cavitation 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.