Method for predicting the corrosion rate of a metal material in soil and prediction model
By combining inverse distance weighted interpolation and machine learning network models with gradient analysis of soil environmental parameters and homogeneous region division, the accuracy and efficiency problems of predicting the corrosion rate of metallic materials in soil in existing technologies have been solved, and more accurate corrosion rate prediction has been achieved.
CN121612786BActive Publication Date: 2026-06-26TAIYUAN UNIVERSITY OF TECHNOLOGY
Patent Information
- Authority / Receiving Office
- CN · China
- Patent Type
- Patents(China)
- Current Assignee / Owner
- TAIYUAN UNIVERSITY OF TECHNOLOGY
- Filing Date
- 2026-01-30
- Publication Date
- 2026-06-26
Smart Images
Figure CN121612786B_ABST
Abstract
The application discloses a kind of prediction method and prediction model of metal material soil corrosion rate, and the application relates to metal corrosion prediction technical field, comprising the following steps: based on metal pipeline demarcation research area, is divided into several equal size test area, after soil environment parameter is collected on selected sampling point, the parameter of each sampling point is analyzed using inverse distance weighting interpolation method, to determine the soil environment parameter in test area and calculate its gradient value;Determine the mutation boundary through gradient value, divide the research area into multiple sub-regions, and analyze the soil environment parameter variation of adjacent region, carry out homogenization and merge, input the soil environment parameter value of each test area after homogenization and metal pipeline material type into corrosion rate analysis model, output the soil corrosion rate prediction value of metal material;Significantly improve the prediction efficiency of corrosion rate prediction.
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