Robot-Server Architecture for Optimizing Solar Panel Power Output
Journal Title: Transactions on Machine Learning and Artificial Intelligence - Year 2016, Vol 4, Issue 4
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.MLAI-OLD
Authors and Affiliations
Ernesto Zamora Ramos, Maria Ramos, Konstantinos Moutafis, Evangelos A. Yfantis
Keywords
Related Articles
- EP ID EP277210
- DOI 10.14738/tmlai.44.2141
- Views 81
- Downloads 0
Automated Medication System for Rural and War Affected Areas
Robot is machine like human beings working in hazardous situations, replace domain experts and provide accurate results. We proposed automated medication system that work like human physician experts in remote locations,...
ZCMGenerator: Generation of ZCM Models from ZC2M Metamodel Based on MDA and ADM Approaches
Zakat Calculation Models (ZCM) consist of sequences of specific concepts of the Zakat domain such as category, subcategory, wealth and rate. The content of a ZCM model depends on the school of jurisprudence and the type...
Stock Recommendations using Bio-Inspired Computations on Social Media
The tremendous growth of the social networks has paved way for social interactions of investing communities about a company�s stock performance. Investors are able to share their comments on stocks using social media pla...
An Unsupervised Neural Network Method for Age Group Estimation using Facial Features
Age estimation from facial features is an important research subject in the field of face recognition. It is an active research area that can be used in wide range of applications such as surveillance and security, telec...
Twitter Sports: Real Time Detection of Key Events from Sports Tweets
tweets about them. Event detection in Twitter is the process of detecting an event which is an occurrence causing change in the volume of tweets that discuss the associated topic at a specific time and a location by Twit...