The osmotic pressure is very important for sea wall safety. Analyzing the survey data correctly is a useful way to ensure the safety of sea wall and people who are protected by it. In order to improve the accuracy of sea wall osmotic pressure forecast
the harmonic quantity regression model has been used to fit the osmotic pressure periodicity
and the time series model has been used to analyze the error series. The combined model has been established base on these two kind models. Tests with practical data show that the combined model has very high accuracy to fit and forecast sea wall osmotic pressure. In addition
the equal-dimension new-information model idea has been put into the combined model to achieve the real-time forecast of sea wall osmotic pressure.