Method for predicting corrosion rate in gas pipeline

• Main Authors: XIE FEI, WANG DAN, DU YIJIE, SUN DONGXU
• Format: Patent
• Language: Chinese; English
• Published: 28.03.2023
• Subjects: CALCULATING; COMPUTER SYSTEMS BASED ON SPECIFIC COMPUTATIONAL MODELS; COMPUTING; COUNTING; ELECTRIC DIGITAL DATA PROCESSING; PHYSICS

The invention provides a method for predicting the corrosion rate in a gas pipeline, and the method comprises the steps: inputting obtained to-be-detected data into a trained corrosion rate prediction model, and obtaining a corrosion rate prediction result; the training method of the corrosion rate prediction model comprises the following steps: acquiring a detection data set formed by pipeline detection sample data; screening the detection data set based on a grey relational analysis method to obtain an environmental influence factor data set, and constructing a sample data set; and training a support vector machine model according to the sample data set, and optimizing the support vector machine model by using a bald eagle search algorithm to obtain a corrosion rate prediction model. According to the method, the problems that an existing gas pipeline internal corrosion rate prediction model has large basic data requirements and is insufficient in prediction reliability can be effectively solved, the predict