Automatically monitors solar panels and wind turbines through SCADA data analysis, predicts maintenance needs using AI algorithms, and schedules optimal maintenance windows to minimize downtime and maximize energy production efficiency.
Daily SCADA system data collection completes at midnight
Each node represents an automated step. Connections show how data and decisions move through the workflow.
Detailed explanation of each automated stage in the workflow.
SCADA systems automatically transmit daily performance metrics including power output, vibration data, temperature readings, and fault codes from solar panels and wind turbines.
AI algorithms process historical and real-time data to identify degradation patterns, anomalies, and performance deviations that indicate potential equipment failures.
System evaluates predicted failure probability and energy production impact to categorize maintenance as critical (immediate), moderate (within 30 days), or routine (scheduled intervals).
PowerFactory analyzes grid demand forecasts and weather patterns to schedule maintenance during optimal windows that minimize energy production losses.
System automatically creates detailed work orders with equipment specifications, required parts, and technician assignments based on maintenance priority and resource availability.
Automated notifications are sent to maintenance teams with scheduled appointments, equipment diagnostics, and optimized routing to minimize response time and maximize efficiency.
Operator Academy teaches you how to implement AI automation workflows like this one step-by-step — no coding required.
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