System for surveillance and maintenance of photovoltaic systems using unmanned aerial vehicles and artificial intelligence

Abstract

The invention relates to a system for monitoring and maintaining photovoltaic (PV) systems using unmanned aerial vehicles equipped with thermal cameras and a software solution based on artificial intelligence methods. The technical problem solved by this invention includes the need for timely and automated detection of failures in solar panels, reducing inspection costs and increasing the efficiency of PV system maintenance. The essence of the invention is the integration of multiple functional components: automated thermal data collection by drones, image analysis using algorithms based on machine learning methods, prediction of failures by artificial intelligence models and display of results through a centralized web application. The invention enables wide application in residential, commercial and industrial solar installations, and is also scalable and aligned with the goals of digitalization of the energy sector.The invention relates to a system for surveillance and maintenance of photovoltaic (PV) systems using unmanned aerial vehicles equipped with thermal cameras and a software solution based on artificial intelligence methods. The technical problem solved by this invention includes the need for timely and automated detection of failures in solar panels, reducing inspection costs and increasing the efficiency of PV system maintenance. The essence of the invention is the integration of multiple functional components: automated thermal data collection by drones, image analysis using algorithms based on machine learning methods, prediction of failures by artificial intelligence models and display of results through a centralized web application. The invention enables wide application in residential, commercial and industrial solar installations, and is also scalable and aligned with the goals of digitalization of the energy sector.