Aegus: From Manual Risk to Autonomous Safety

Transforming solar panel maintenance with IoT-driven automation for safety, precision, and efficiency.

Client: Aegus Pvt Ltd
Industry: Renewable Energy / Solar Infrastructure

Challenge

High-Risk Manual Operations and Limited Scalability

Manual cleaning of solar panels posed multiple operational challenges — from safety risks at elevated heights to inconsistent cleaning and high OPEX due to continuous human supervision.

  • Safety Hazards: Manual work at height increased fall and heat exposure risks.
  • Inconsistent Cleaning: Manual control led to uneven cleaning quality and reduced power yield.
  • High Labor Cost: Required multiple technicians per site for supervision.
  • Poor Scalability: Human dependency limited large-scale deployment.
Solution

Smart IoT-Based Autonomous Solar Cleaning

Sunbio IT Solutions engineered a fully autonomous, IoT-enabled solar cleaning system that minimized risk, optimized performance, and enabled remote control through intelligent sensor integration and cloud connectivity.

  • Intelligent Sensor Suite: LiDAR + ultrasonic sensors for obstacle avoidance and safe navigation.
  • Real-Time Telemetry: IoT-enabled cloud dashboard for live monitoring and analytics.
  • Remote Operation: Centralized scheduling and control via desktop or mobile.
  • Smart Power Management: Efficient, autonomous battery utilization for full cleaning cycles.
Results

Zero Safety Incidents and 50% Faster Cleaning Cycles

Metric Before Automation After Automation Improvement
Safety Incidents (at height)Moderate RiskZero Risk100% Risk Elimination
Cleaning Cycle Time8 hrs (Manual)4 hrs (Autonomous)50% Faster
Labor Cost2 Supervisors/site0.1 Remote Operator95% Reduction
Energy Loss (Soiling)4–6%<1%+5–7% Uptime

By automating the process, Aegus not only eliminated safety incidents but also maximized energy yield and drastically reduced operating expenses.

Next Phase

AI-Driven Predictive Maintenance & Integration

  • Predictive Scheduling: Machine learning models to determine optimal cleaning cycles based on soiling patterns.
  • SCADA Integration: Real-time cleaning data linked to solar farm performance systems for unified maintenance insight.
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