A Dynamic Data and Information Processing Model for Unmanned Aircraft Systems

Dynamic Data and Information Processing (DDIP) involves symbiotic control feedback through sensor reconfiguration to integrate real-time data into a predictive method for system behavior. Fundamentally, DDIP presents opportunities to advance understanding and analysis of activities, operations, and transformations that contribute to system performance, thereby aiding in decision-making and event prediction. Previously examined DDIP application domains include weather monitoring and forecasting, supply chain system analysis, power system and energy analysis, and structural health monitoring. Currently, there is limited existing work that implements DDIP in support of Unmanned Aircraft Systems (UAS). Developing a DDIP model for a UAS application could further demonstrate DDIP capabilities and provide information relevant to improving maintenance operations and resource management.