Convolutional Neural Networks (CNNs) for dust prediction and Reinforcement Learning (RL) for adaptive scheduling. Trained on 5+ years of Indian weather data.
Yes. APIs sync robot data (cleaning cycles, efficiency metrics) with SCADA in <48 hours. At Adani Solar’s plant, this integration reduced manual reporting by 80%.
AI predicts output based on cleaning schedules and weather. A Karnataka plant improved forecasting accuracy by 25%, aiding grid management.
IoT sensors detect anomalies (e.g., motor failure, stuck brushes) and trigger real-time alerts. Operators receive SMS/email notifications and can dispatch repair teams the same day.
Yes. Operators access real-time dashboards with metrics like soiling levels, robot health, and energy output. Alerts are sent via SMS/email.
Robots withstand winds up to 80 km/h. Post-cyclone, they clean debris within hours. At a Tamil Nadu plant, downtime post-cyclone reduced from 5 days to 8 hours.
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