In order to improve the safety of flights and support vehicles, this paper proposes a new type of flight support early warning system architecture based on digital twins. The digital twin system includes simulation model of real airports and cyberspace, as well as real-time data. The system can predict the future risk situation of support activities based on the current operating conditions. The article details the rules of flight support, the design and development of simulation models, how to achieve real-time collection of support vehicle and flight data, and the prediction of potential collision risks. In order to verify the effectiveness of the early warning logic and algorithms, system development and simulation experiments are performed on the Anylogic platform. The experimental results show that the architecture proposed in this paper can provide early warning of vehicles and flights to ensure operational safety.