Method of UAV emergency disposition training based on fault tree analysis and snapshot

In order to improve UAV (unmanned aerial vehicle) operators' ability to detect and deal with emergency cases, a method based on FTA (fault tree analysis) and software snapshot technology was proposed. Taking a flying-wing UAV for example, some key technologies were researched. Then a universalized emergency disposition training system was designed and hands-on trainings were carried out by degrees. The fault tree analysis method was used to build a relatively complete model of the reasons which could cause accidental cases, and key reasons were picked out for more intense trainings. The snapshot technology was introduced to decouple different training stages. Then with the RTW (real-time workshop) method, data base technology and VR (visual reality) technology, a universalized UAV emergency disposition training system was built and applied to the training of the target UAV. Through the comparative analysis, the effectiveness and high fault coverage of the method were verified.