To achieve autonomous UAV flight path planning for policing tasks，an environment model is constructed for police UAV based on real urban police emergency response scenarios.A fitness function is designed according to the costs of UAV's path length，flight altitude and obstacle danger.Logistic chaotic map is used to initialize the population in the Aquila Optimizer(AO)，and the Butterfly Optimization Strategy(BOS) is incorporated during the first phase.In the simulation experiments，the generated paths are smoothed by using cubic spline interpolation to make them more in line with the trajectory of the UAV.The results show that this method can meet the requirements for path planning of police UAVs in rapid dispatch，and the overall effects are satisfactory.