Launch Alert Software with Natural Language Processing using Vigilant Intelligent Workspace

NSDC satellite operators are faced with the critical and often overwhelming task of tracking maneuvers and maintaining custody of approximately 20,000 objects in space during their missions. The mission is made more difficult due to the need for operators to manually consult various sources of information to determine positions and trajectories in order to engage proximity alerts when satellites are facing potential collisions or other interference. The proposed solution will be designed to use natural language processing on unclassified internet and classified internet sources to identify upcoming launches and orbit changes, provide machine-generated alerts to 3rd party visualization systems, correlate new objects in Space-Track.org with machine-generated alerts, read DEFSMAC-generated alerts, and also alert operators of any unanticipated launches based on classified data. The solution will greatly improve NSDC custody maintenance operations, making them faster, more efficient, and more reliable.