Grouting effect prediction method and system based on SVR method

The invention discloses a grouting effect prediction method and system based on an SVR method, and relates to the technical field of grouting engineering.The grouting effect prediction method comprises the following steps that according to the collected characteristics of different loose gravel soil layers, soil particle specific gravity, water content and density are calculated to obtain the soil layer porosity, meanwhile, influence factor data of the grouting effect are obtained, and the grouting effect is predicted; comprising the following steps: dividing porosity and influence factor data into a training set and a test set by using an SVR (Support Vector Regression) method, generating a grouting diffusion radius prediction model, solving the test set through the generated model to obtain a diffusion radius prediction value, and predicting the grouting diffusion radius according to the prediction value. Generating a diffusion height predicted value and a compressive strength predicted value by using the s