机翼结冰生命周期的数字孪生软件系统

飞机巡航中的机翼结冰情况是关系到飞行安全的重大实际问题之一，如果能够实时监测甚至根据环境提前预测机翼结冰过程和状况，对改进机翼防除冰设计、规避飞行危险都具有重大意义。数字孪生技术作为5G信息时代中新兴的技术，为物理过程的虚拟呈现提供了新的思路与解决方案、同时数字孪生技术结合人工智能等技术，同样可以应用于飞机巡航中机翼结冰物理过程，对实时监测与预测提供了新的技术保证。从数字孪生的角度出发，以机翼结冰神经网络模型为切入点，设计实现了一款基于数字孪生和人工智能技术的巡航中机翼结冰二维过程快速呈现软件系统。软件获取飞机巡航结冰参数与飞行参数，运行结果能够利用动态显示方式，呈现飞机巡航中机翼结冰全生命周期。

Digital twins software system for wing icing life cycle

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.