Robot-Server Architecture for Optimizing Solar Panel Power Output

  • Ernesto Zamora Ramos University of Nevada, Las Vegas
  • Maria Ramos University of Nevada, Las Vegas
  • Konstantinos Moutafis University of Nevada, Las Vegas
  • Evangelos A. Yfantis University of Nevada, Las Vegas
Keywords: Robotic Vision, Solar Power Optimization, Pattern Analysis, Autonomous Vehicles

Abstract

Solar panel facilities for generating electricity have increased exponentially in the recent years. Dust and bird droppings on the solar panels inhibit the energy production. Having people to inspect them and, if needed, clean them is expensive and increases the energy cost. In this research paper we introduce a robot-server architecture for the purpose of inspecting the panels and cleaning them if there is a need for it. The general architecture of the robot consists of a mechanical part, an electromechanical part, an electronic part, and a software part. The mechanical and electromechanical parts consist of an all-terrain vehicle, two electric brushless motors, a telescopic vision system, and telescopic cleaning system with a brush, stepper motors controlling the telescopic vision system, and the telescopic vacuum system with a brushless electric motor. The electronic system consists of three electronic speed controllers, navigation sensors, a computer board, a hard disk, a transceiver, and an antenna for wireless communication. The software consists of a scalable operating system, an intelligent vision system with pattern recognition, a communication software system, an intelligent navigation system, and a file server with a database, TLS security, network communication software based on UDP, and internet communication based on websockets and TCP-IP. In addition to that for street solar lights we designed a PCB board with a sensor that activates a mechanism similar to windshield wipers that cleans the glass of the solar panels powering the lights automatically when needed.

References

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Published
2016-09-14
How to Cite
Zamora Ramos, E., Ramos, M., Moutafis, K., & Yfantis, E. A. (2016). Robot-Server Architecture for Optimizing Solar Panel Power Output. Transactions on Machine Learning and Artificial Intelligence, 4(4), 09. https://doi.org/10.14738/tmlai.44.2141