Research Of Intelligent Method In Evaluation Of The Tank Bottom Corrosion Based On Online Testing Information

The condition of tank bottom corrosion is the main indicators to guide the maintenance of tank, however, the special operating environment of tank bottom make it difficult to detect. At present, the acoustic emission testing is used as the major testing technology to detect the tank bottom corrosion international. The technology has a history of nearly a decade in China, it is widely used in the testing of tank bottom corrosion petrochemical industry. But the current application of acoustic emission online testing technique to evaluate the tank bottom corrosion mainly depends on the experience of test people, it has become the bottleneck in development and promotion of the technology.This paper combines acoustic emission testing information with experience of experts of areas, the acoustic emission factors and appearance inspection factors correlated with tank bottom corrosion are determined. Using correlation analysis of multivariate statistical to calculate the correlation between factors and the tank bottom corrosion, and testing the correlation by two-tailed test. For the limitations of traditional heuristic Bayesian networks structure search algorithm, this paper improves Bayesian networks structure search by genetic algorithm, designs the genetic fitness function by optimal preservation strategy, learns the parameters of the established of Bayesian networks topological structure by Bayesian parameters learning algorithm, evaluates and analyses the examples by using joint tree algorithm. To establishing intelligent method in evaluation of the tank bottom corrosion based on-line information.Using the appearance inspection information, according to the results of correlation analysis, establish two evaluation methods of the tank bottom corrosion based on appearance inspection factors and significant correlation appearance inspection factors. Comparing with the result of acoustic emission online testing, the accuracies of the evaluation models are 84% and 86%; Using acoustic emission testing information, according to the testing standard, establish two evaluation methods of the tank bottom corrosion based on standard acoustic emission testing factors and acoustic emission testing factors, Comparing with the result of acoustic emission online testing, the accuracies of the evaluation models are 70% and 84%. Synthesize the above research results, combining the significant correlation appearance inspection factors with the acoustic emission testing factors, establish intelligent method in evaluation of the tank bottom corrosion based on online testing information. Comparing with the result of acoustic emission online testing, the accuracy of the evaluation model is 96%. This result shows that the evaluation model can effectively use the online testing information, and evaluate tank bottom corrosion intelligently, and can be applied in engineering applications.