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An intelligent prediction method for surrounding rock grade based on TSP-geological information fusion

The present application relates to the field of tunnel advanced geological prediction, and provides a surrounding rock grade intelligent prediction method based on TSP-geological information fusion, first extracts TSP trend characteristics, and carries out spatial registration with the face mileage in the geological information; then, abnormal data screening rules are formulated for the TSP trend characteristics, and abnormal data is eliminated; on this basis, the processed TSP trend characteristics and the surrounding rock grade of the construction surface are used as model inputs, different construction surface categories are divided to model, and the TSP detection data distribution under different construction surface conditions is different, a surrounding rock grade prediction model is established by combining knowledge driving and data driving. Finally, the surrounding rock information in the design stage is added to the TSP single prediction result for intelligent decision-making, so as to realize the surrounding rock grade prediction. The present application can effectively improve the prediction accuracy, and has important significance for protecting the life and property safety of tunnel construction.
Owner:CHINA RAILWAY FIRST SURVEY & DESIGN INST GRP