Wing icing during aircraft cruise is one of the major practical issues related to flight safety. If real-time monitoring or even prediction of the wing icing process and conditions based on the environment can be achieved, it is of great significance to improve the wing anti-deicing design and avoiding flight hazards. As an emerging technology in the 5G information age, digital twin technology provides new ideas and solutions for the virtual presentation of physical processes. At the same time, digital twin technology combined with artificial intelligence and other technologies can also be applied to the physical process of wing icing in aircraft cruises, which provides a new technical guarantee for real-time monitoring and forecasting. From the perspective of digital twins, this paper uses the wing icing neural network model as the starting point to design and implement a software system for rapid presentation of the two-dimensional process of wing icing during cruise based on digital twins and artificial intelligence technology. The software obtains aircraft cruise icing parameters and flight parameters, and the operating results can use dynamic display to show the entire life cycle of aircraft wing icing during cruise.