基于AI+全光KVM坐席系统的安全飞行指挥控制方法OA

The process of flight command and control is limited by the quality of data transmission,which af-fects the analysis of flight status.Therefore,a safety flight command and control method based on AI+all-fiber keyboard,video,and mouse(KVM)system.The all fiber network of the all-fiber KVM system is used as the data transmission channel,and on the basis of time synchronization alignment,the high-quality access to flight status data is achieved,thereby analyzing the current flight attitude angle and other parameters.An AI intelli-gent analysis model is designed based on reinforcement deep learning,which solves the optimal control parame-ters for completing flight tasks in the current flight state through a cumulative reward mechanism,and corre-sponding control instructions are generated.The all-fiber KVM system is utilized for command feedback,there-by achieving safety flight command and control.The experimental results show that when using this method for control,the flight path error is only 0.17 m,and the task completion rate is as high as 96%,demonstrating high control accuracy and good practical application prospects.