In order to increase the systematicity and flexibility of disaster response behavior at the grassroots level, a triangle model of county disaster resilience was constructed. Taking the rainstorm in Jianchang, Liaoning Province in 2024 as an example, social network analysis method was used to establish an association network among rainstorm disaster events, county disaster bearing bodies and emergency management plans. The system dynamics model reflecting the evolution process of county disaster resilience was designed by introducing the time series dimension, and the individual attributes of network nodes were used as the basis for model evaluation. The results show that the county disaster resilience shows an evolutionary trend of slowly decreasing first and then steadily increasing, and the growth rate gradually accelerates. During the pre-disaster warning stage, disaster events, disaster-bearing bodies, and emergency management plans respectively possess the characteristics of suddenness, exposure, and absorption. Organizational preparations, communication preparations, material preparations, and publicity preparations have the greatest room for optimization. During the disaster response stage, disaster events, disaster-bearing bodies, and emergency management plans respectively possess coupling and uncertainty, sensitivity, and adaptability characteristics. There is still room for improvement in the capacity to evacuate the masses, communication guarantee mechanisms, and the resilience of power facilities. During the post-disaster recovery stage, disaster-bearing bodies and emergency management plans respectively possess adaptability and adjustment characteristics. At this time, it is necessary to optimize the planting structure of crops and enhance the flood resistance capacity of roads. Emergency management plans always have the characteristic of learning throughout the entire cycle of disaster response.