Monitoreo Autónomo de Paneles Solares Mediante Dron Parrot Anafi Thermal y Visión Artificial

Abstract

This project proposes the design and implementation of an autonomous thermal inspection system for the evaluation of photovoltaic panels using a Parrot ANAFI Thermal drone. The system will execute preprogrammed flight paths from a ground control station and will acquire synchronized RGB and radiometric thermal images in order to identify hotspots associated with operational faults and maintenance needs. Mission control will be developed in Python through the integration of the Parrot Olympe SDK with a ROS 2–based architecture, enabling reliable flight control and data acquisition. Anomaly detection will be addressed using computer vision techniques oriented toward thermal image analysis. As a result, a graphical user interface will be provided for mission monitoring and the review of detected findings. The project aims to reduce inspection time, improve operational safety, and provide objective evidence to support predictive maintenance activities.

The present document is organized into six main chapters. Chapter 1 presents the project introduction, including the problem statement, objectives, and the general methodological approach. Chapter 2 develops the state of the art and the technological surveillance analysis. Chapter 3 describes the architecture and operation of the developed system, along with a general guide for its execution and the testing activities performed. Chapter 4 presents the obtained results and their discussion. Chapter 5 presents the operational integration within the graphical user interface, including visualization, configuration, and system management functions. Finally, Chapter 6 outlines the conclusions and recommendations derived from the work.