To address the problem that ground infrastructure cannot provide emergency communication effectively after natural disasters, a sum rate optimization scheme for unmanned aerial vehicles swarm-assisted emergency communication system based NOMA technology is proposed. Firstly, the scheme constructs a unmanned aerial vehicles swarm-assisted emergency communication model, the model objective of maximizing the total sum communication rate of ground users under the constraints of maximum UAVs transmitting power and quality of service for ground user; Secondly, the power allocation under the NOMA mechanism is implemented by improving the simulated annealing algorithm; Finally, the ground users are clustered by improved K-means algorithm, and then the path loss and line-of-sight link probability between unmanned aerial vehicles and users are optimized for completing the three-dimensional deployment and maximizing the system sum rate. The numerical simulation results verify the effectiveness of the proposed scheme.