Flight Management System Simulation Device Using Pre-computed Data

The patent creates a simplified copy of the real FMS system that replicates its essential training functions without requiring the full computational resources. The simulation device copies the interface, database structure, and basic navigation logic of the Primus Epic FMS while using simplified calculation models that reduce computational burden by approximately 90%, making it feasible to run on devices with limited resources while maintaining training effectiveness

The patent replaces the expensive real FMS hardware with a software-based simulation that can run on inexpensive devices. The simulation uses simplified algorithms and pre-computed data tables instead of real-time complex calculations, effectively creating a low-cost alternative that achieves the same training objectives without the high computational requirements and associated costs of using actual FMS systems

The patent creates a software-based copy of the FMS training system that can be distributed and run on existing devices, eliminating the need for expensive specialized hardware. This copying approach reduces training costs while maintaining the ability to provide accurate FMS operation training through simplified but functionally equivalent simulation models

The patent implements partial action by focusing only on the essential FMS functions needed for training purposes rather than replicating the complete real-time performance of an actual FMS system. By implementing simplified navigation calculations and using pre-computed performance data, the system achieves sufficient training accuracy at a fraction of the cost of using real FMS hardware

The patent applies preliminary action by pre-computing flight performance data and storing it in lookup tables before the simulation runs. This allows the simulation to retrieve pre-calculated values instantly rather than performing complex real-time calculations, significantly improving computational efficiency while maintaining accuracy by using pre-validated performance data for various flight conditions

The patent changes the computational approach by transitioning from real-time complex mathematical modeling to a hybrid method that combines simplified real-time calculations with pre-computed data retrieval. This parameter change in the calculation methodology maintains sufficient accuracy for training purposes while dramatically reducing the computational load to approximately 10% of the original requirement