The invention belongs to the field of route planning for multiple unmanned aerial vehicle (UAV) area monitoring, and discloses a route planning method for the multiple UAV area monitoring based on DQN. The method comprises the following steps of: setting a target monitoring area of a UAV group, including N UAVs, with an airborne radar set up on each UAV, and each UAV is flying at a constant speed;modeling the route planning of the UAV group; determining a state and an action of the UAV; establishing a deep neural network; obtaining a target value of the neural network; planning for the routeof the N UAVs, obtaining a limited number of training samples during the flight of the UAV group, and training the deep neural network through the samples, a well-trained neural network can predict samples that have not been seen. When a current state of the UAV group is input, it can be known through the neural network that which action to take while flying will the next flight coverage be maximized. The planned route enables the UAV group to effectively cover the monitoring area in real time.