The rapid development and large-scale application of drone technology, related management has gradually attracted the attention of the public and academic circles. In the course of flight management of aerial drone, inspired by ADS-B technology to monitor aviation targets, the field potential theory and ADS-B technology are combined to design a UAV track planning algorithm based on ADS-B technology, which can plan and manage the flight of uavers in advance. In the subsequent comparative experiments and simulation experiments, the algorithm designed in this paper, although the one-time success rate of track planning is slightly lower than that of the existing track planning algorithm, is better than the Muga algorithm, Tmuga algorithm, and D15 algorithm in terms of risk avoidance and planning time.
