The invention discloses an intelligent planning method for a three-dimensional global flight path of an unmanned aerial vehicle in an enemy threat uncertainty environment. The intelligent planning method comprises the steps: firstly building a three-dimensional environment model of an unmanned aerial vehicle according to a priori map; determining three objective functions for evaluating the advantages and disadvantages of the flight path, and establishing a three-objective optimization model of three-dimensional global flight path planning of the unmanned aerial vehicle in an enemy threat uncertain environment; secondly, performing particle swarm intelligent planning on the global path of the unmanned aerial vehicle by adopting an improved multi-target backbone particle swarm optimizationalgorithm; and finally, smoothing all paths in the obtained optimal path set by adopting a linear interpolation method, and displaying a plurality of solved feasible paths on a simulation map, so thata decision maker can select a final path according to actual conditions. The path selected by the intelligent planning method not only can avoid obstacles, but also can avoid threats of enemies, andthe length of the path is short, and a decision maker can select and obtain the optimal path according to actual requirements.