Based on multi-source data such as satellite monitoring and reconnaissance reports, relevant entities and relations are extracted via data extraction, and information is integrated through ontology construction to form a military situation map. Knowledge reasoning is used, combined with military strategy rules and historical data, to infer the opponent's military action intent. Through knowledge retrieval, commanders can obtain detailed information on specific military forces at any time, including battlefield situations related to equipment performance and personnel configuration.

By collecting data such as equipment technical parameters, manufacturers, equipment operating status, and maintenance records, and using entity alignment to integrate multi-source information of the same equipment entity, an equipment knowledge graph is formed. Based on knowledge Q&A, maintenance personnel can input keywords such as fault phenomena to obtain maintenance cases, common faults, and solutions; combined with knowledge reasoning, fault causes and maintenance plans are obtained. Through the graph's visualization function, equipment profile data (e.g., performance evolution trends, maintenance history trajectories) are displayed, helping equipment managers intuitively grasp the overall equipment status.

Data such as trainees' learning progress, exam results, and skill mastery are collected, and through data extraction and analysis, trainees' knowledge weaknesses and skill needs are summarized. Knowledge reasoning is used, combined with the military training knowledge system, to infer personalized training plans and recommend relevant courses, teaching materials, and simulation training projects. Trainees can use knowledge retrieval to obtain special operations knowledge and skill points (e.g., combat techniques in different terrains, weapon equipment operation methods). The graph visualization function displays the knowledge system structure and associations, helping trainees build a complete knowledge framework and improve learning effectiveness.