基于GraphRAG的无人机集群作战效能评估OA

To address the current lack of a pathway from deduction simulation to evaluation in the assessment of UAV swarm operational effectiveness,a GraphRAG-based evaluation method was proposed,which fully utilizes deduction simulation data to reflect the operational effectiveness of UAV swarms in a realistic and objective manner.First,a knowledge graph was con-structed using data from UAV swarm deduction simulations,such as attack,detection,and operational effect data.Subse-quently,a Graph Retrieval-Augmented Generation(GraphRAG)system based on evaluation indicators was developed using the knowledge graph,combined with a large language model to intelligently generate a reasonable evaluation indicator sys-tem.Finally,the information entropy method was employed to achieve the operational effectiveness evaluation of UAV swarms.By constructing a UAV swarm ground attack operational scenario,the effectiveness of the proposed method was veri-fied,opening a new methodological pathway for system effectiveness evaluation.