[Objective] To solve the problems of maintenance support inability and easily causing significant loss in the traditional maintenance mode of seawall, in order to establish a scientific health management system of seawall.[Methods] The advanced prognostic and health management(PHM) technology was applied to the seawall project. The PHM system of seawall was set up, and the prediction model and health assessment model of seawall PHM system were studied. Combining with the characteristics of seawall and the massive high frequency-measured information, the prediction model of seawall state was put forward based on the water cycle algorithm with strong searching ability combined with the neural network. On the premise of the seawall health factors were considered comprehensively, the system health assessment model was set up based on fuzzy mathematics.[Results] The example analysis showed that the prediction model could predict seawall condition effectively and the health assessment model could assess seawall health in real-time and can pre-estimate seawall health accurately for present and future.[Conclusion] The seawall PHM system framework established meet the characteristics of seawall project. The prediction model and health assessment model are scientific and effective.