3 results about "Airborne Networking" patented technology

This invention discloses a real-time target detection and recognition system and method for UAV imagery. The system adopts an edge-cloud collaborative processing architecture, including an airborne processing unit and a cloud-based collaborative server. The airborne unit is equipped with an adaptive lightweight detection network to perform preliminary detection on real-time imagery and output results with uncertainty scores. An intelligent collaborative gateway filters high-uncertainty targets based on dynamic collaborative thresholds, extracts relevant image regions, and uploads them to the cloud. The cloud server deploys a high-precision model for verification and sends the results back to the airborne unit for fusion, outputting the final detection result. This system achieves a balance between detection accuracy and real-time performance under limited airborne resources through dynamic adjustment of the airborne network structure, bandwidth-based dynamic threshold decision-making, and online model optimization mechanisms based on cloud feedback, thereby improving the robustness and efficiency of UAV target detection in complex scenarios.

The application discloses a kind of simulation flight data determinacy communication demonstration system based on time sensitive network, including by end system and switch form airborne network, demonstration manager and network tester.Demonstration manager is used to set the simulation parameter of end system and switch.Simulation end system has flight simulation application module, interface service module and network driver module;It is the interaction of simulating the flight data stream of real end system in time sensitive network;Through simulating periodic flight data, the flight state synchronization interaction of application layer is simulated, the data frame of data link layer is configured and encapsulated guarantee, and the communication function of simulation end system is simulated.Simulation switch has switching module and TSN protocol configuration module;It is according to scheduling or forwarding logic processing data frame.

This invention discloses an airborne network path planning method based on multi-objective constraints and deep reinforcement learning. The method includes: creating a task set Q containing several tasks q in an airborne network model; constructing a path optimization fusion model that integrates a multi-objective collaborative optimization model and a deep reinforcement learning algorithm network; the deep reinforcement learning algorithm network constructs a task path set based on the start and end nodes of the tasks in the task set Q and selects a subset of task paths that satisfy path risk constraints and task isolation constraints; obtaining the optimal task path combination from the task path subset through a path link balancing module; and using the optimal task path combination as the path planning result for the task set Q. This invention, considering reliable data flow transmission and network load, combines the service attributes of the tasks and plans paths that achieve risk balancing across network links and meet isolation requirements, thereby improving the overall network transmission security of the aircraft avionics system.