Research on Storage Period Elements of Unmanned Aerial Vehicle Swarm Based on Knowledge graph

In recent years, Unmanned Aerial Vehicle(UAV) swarms have become increasingly popular in the field of emergency response and disaster relief due to their outstanding advantages of low cost and high return. During peacetime, the vast majority of UAVs are in storage and quickly put into use when needed for missions. However, many factors could affect the performance of UAVs during long-term storage, leading to a decrease in mission reliability. Therefore, based on the concept of knowledge interconnection, a technical method was proposed to accurately analyze, describe, and organize the macro characteristics and micro laws of unmanned aerial vehicle swarms during storage, which involved numerous elements and complex related relationships. At the same time, in the process of modeling and expression of analysis results, Knowledge graph and other forms were used to display them, so as to provide more practical and extensive swarm storage knowledge and effectively guiding the development of UAV storage management work, thereby improving the reliability of UAV operations.