Design and Implementation of Gas Pipeline Corrosion Evaluation System Under Bayesian Algorithm

Town gas is one of the important infrastructures of the city, but there is a problem that the analysis of corrosion factors of gas pipelines is not ideal. The previous forecasting method could not solve the problem of gas pipeline corrosion factor analysis, and the evaluation was unreasonable. Therefore, a Bayesian algorithm is proposed to predict and analyze the corrosion factors of gas pipelines. Firstly, the Bayesian network analysis principle is used to predict and analyze the corrosion factors of gas pipelines, and the indicators are carried out according to the requirements of gas pipeline corrosion factors Division, reduce interference factors in town gas. Then, the Bayesian network analysis principle analyzes and processes the corrosion factors of gas pipelines and forms a gas pipeline corrosion factor analysis and treatment scheme Comprehensive analysis of gas pipeline corrosion analysis results. MATLAB simulation shows that under the condition of certain processing standards, Bayesian algorithm has an accurate effect on the factorization treatment of gas pipeline corrosion. Gas corrosion analysis times are better than previous predictions.