DDQN unmanned aerial vehicle interruption scene path planning method based on attention mechanism

The invention provides a DDQN unmanned aerial vehicle interruption scene path planning method based on an attention mechanism, and relates to the technical field of path planning. The method comprises the following steps: constructing a comprehensive objective function and a distribution network diagram according to node position information, energy consumption of a unit distance of the unmanned aerial vehicle and a comprehensive interruption risk between nodes; a graph attention network and a multi-layer perceptron are adopted to carry out feature extraction on the distribution network graph and the current state, current graph embedding features and current state features are obtained, the extracted features are spliced and input into a main network, and a predicted Q value, a reward value and an optimal action are obtained; the optimal action is sent to the unmanned aerial vehicle, the next state fed back by the unmanned aerial vehicle is received, the main network is circularly utilized to continuously obtain the optimal action, and finally an optimal path planning strategy is formed; and the path planning success rate and adaptability of the unmanned aerial vehicle under the interference of the multi-source dynamic environmental factors are remarkably improved.