Research on Icing Prediction Technology of Transmission Lines Based on Artificial Intelligence

U nder the background of global climate change, extreme weather events occur frequently, which brings unprecedented challenges to power infrastructure. Among them, the icing problem of transmission lines appears more and more frequently. Using manual method to detect the thickness of ice coating is not only extremely inefficient, but also can not guarantee the safety of workers sometimes. Meteorological factors are one of the key factors affecting icing. This paper starts with meteorological factors and combines artificial intelligence to study the prediction model of icing thickness, which provides a reliable basis for anti-icing and deicing of transmission lines.