Reservoir dam osmotic pressure data processing and diagnosing method based on clustering regression analysis

The invention discloses a reservoir dam osmotic pressure data processing and diagnosing method based on clustering regression analysis, which comprises the following steps of: extracting same static water level sample values from a preliminary screening database for grouping, and extracting osmotic pressure values corresponding to water levels of all reservoirs at the same time; preliminarily judging and eliminating logic error data; outlier osmotic pressure data under all water levels are eliminated through a box plot method, and the reliability of the data is ensured; determining a clustering center of seepage pressure data under each water level, and capturing a theoretical reservoir dam seepage pressure value under the target static water level sample value; calculating and drawing a prediction interval of the regression model; and through comparative analysis of the osmotic pressure data and the prediction interval, when the osmotic pressure data exceed the prediction interval, a warning message is autom