This paper is aimed at the problem of real-time fault diagnosis of the aircraft dynamic acquisition integration, timing module fault fluctuations, and the aid of flying testivity verification integrated platforms, based on quantum neural network and trend The self-correction safety warning model designed a real-time flight safety monitoring system that adapts to a multi-machine type, which uses nine different functional modes to compare analysis. Simulation effects are integrated with three evaluation criteria, and the simulation results show this article. Flight Safety Integrated Monitoring Systems regardless of output accuracy (less than 10% of the error), or the stability of the prediction effect is superior to the market civilian FDMS system.