Research on unmanned equipment agent construction method based on knowledge graph

In the current application process of unmanned device swarms, information processing faces issues such as low autonomy and intelligence, and information overload. Researching intelligent management methods for unmanned devices and leveraging the individual sensing and computing capabilities of unmanned devices to enhance the overall operational efficiency of the device system is of great significance. This project utilizes the data modeling techniques of knowledge graphs, based on structured text data, to compare the parameter types in the data models of devices, targets, scenes, and plans. For each type of data, it carries out the generation and expansion of knowledge data graphs with "entity-relationship-entity" and "entity-attribute-value" structures, achieving the basic operational functions of unmanned device swarm applications. This method provides a typical intelligent approach for unmanned device swarm applications and has a positive significance for enhancing the comprehensive sensing and computing capabilities of device swarms.