Automated and Self Powered Solar Panel Cleaning Robot

Abstract

This comprehensive report encompasses a multifaceted project focused on enhancing solar panel maintenance through robotics, image processing, and innovative control systems. The primary objective was to develop a cutting-edge cleaning robot capable of identifying anomalies on solar panels, ensuring efficient information transmission, optimizing battery management, and providing user-friendly control options.

The project's challenges encompassed various aspects. The initial hurdle was distinguishing clean and dirty solar panel surfaces, which was addressed by employing sophisticated image processing techniques. Fast Fourier Transform and image enhancement algorithms successfully identified disruptions in the characteristic rectangular pattern, accurately detecting dirty panels.

Efficient information transmission between the robot, server, and Arduino posed another challenge. An optimized data encoding technique enabled seamless real-time video transmission to a mobile app. Integration of the PySerial library established reliable communication with the Arduino for effective data exchange.

Battery management was pivotal for sustaining the robot's functionality. Lithium-ion batteries and a solar panel were utilized to ensure continuous operation. The incorporation of trickle charging during sunlight exposure maintained ample power for extended missions.

The developed system excelled in image processing, information transmission, and battery management. Real-time video transmission provided immersive remote monitoring. Python, OpenCV, Numpy, Arduino, and Raspberry Pi showcased technological versatility.

The robot's modular design facilitated easy maintenance and part replacement. It operated for 8 hours using solar energy and featured both auto and manual modes, with control options via Bluetooth and Wi-Fi.

The project addressed the efficiency challenges of solar panel energy absorption due to dirt accumulation. Methods involving robots for cleaning panels often consume significant water resources. The project aimed to mitigate this challenge using innovative technology.

A solar panel cleaning robot was designed to function without water, guided by an Arduino Due, Bluetooth, and ESP32. The robot's parameters, operating principles, machine elements, and electrical system were elaborated.

This project introduced a mobile application that controls the cleaning robot through WiFi or Bluetooth, offering both manual and automatic modes. The application provided real-time video streaming, a user-friendly interface, and compatibility with solar-powered robots. The application revolutionized cleaning technology, providing unparalleled control and energy efficiency.