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Original scientific article

INTELLIGENT ROBOTIC SYSTEM FOR EFFICIENT SOLAR PANEL MONITORING

By
E. Veera Boopathy Orcid logo ,
E. Veera Boopathy
Contact E. Veera Boopathy

Karpagam Institute of Technology , Coimbatore , India

S. Samraj Samraj Orcid logo ,
S. Samraj Samraj

Arjun College of Technology , Coimbatore , India

S. Vishnushree Orcid logo ,
S. Vishnushree

Akshaya College of Engineering and Technology , Coimbatore , India

L. Vigneash Orcid logo ,
L. Vigneash

Arjun College of Technology , Coimbatore , India

I. Sheik Arafat Orcid logo ,
I. Sheik Arafat

Vel Tech Rangarajan Dr. Sagunthala R&D Institute of Science and Technology , Chennai , India

L.S. Karthick Orcid logo
L.S. Karthick

Rathinam Technical Campus , Coimbatore , India

Abstract

In this paper, we will introduce a new concept of improving the efficiency of solar panels and the ease of their maintenance by applying relevant robotics and a mobile application concept. This component relies on various sensors, such as rain sensors, dust sensors, and real time clocks (RTCs), to enhance thorough cleaning and maintenance. The robotics system operated through the application, and the data provided by these sensors independently identified and characterized environmental conditions that impact the solar panels. The smartphone application acts as a user control where one can view the status of the solar panels in real-time. Moreover, it offers functionalities that permit the analysis of data on the current produced by the solar panels and also inform the user when the panels are obscured by dust or mist. Using the features of the RTC, the system can effectively automate the scheduling of routine maintenance activities, which helps to achieve maximum efficiency and long-lasting effectiveness of the solar panels. In sum, this proposed integrated approach allows total control of solar panel systems and enhances energy yield through proper internal and external conditions, reduced maintenance, and reduced costs.

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Citation

This is an open access article distributed under the  Creative Commons Attribution Non-Commercial License (CC BY-NC) License which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited. 

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