In view of the significant impact of extreme events on power system security, enhancing grid resilience has become a research hotspot. Therefore, a pre-event prevention and post-event coordinated recovery strategy considering intelligent soft open points (SOPs) and multiple emergency resources is proposed to improve the resilience of the distribution system. In the pre-event stage, to effectively reduce post-event resource scheduling time, a robust optimization model considering the uncertainty of power output is constructed based on predicted fault scenarios. A column-and-constraint generation algorithm is used to obtain pre-event deployment decisions. In the post-event stage, to minimize the curtailed load power through dynamic scheduling, a coordinated recovery strategy using intelligent SOPs and multiple emergency resources is developed, combined with pre-event deployment decisions and traffic network conditions. To address the computational complexity of the multi-source recovery model, an auxiliary induction objective function acceleration algorithm is designed to speed up the solution. Finally, the effectiveness of the proposed strategy in improving the distribution network resilience is verified using an improved IEEE 33-node distribution system case study.