Intelligent anti-corrosion expert system based on big data analysis

Abstract

Purpose The paper aims to develop an intelligent anti-corrosion expert system based on browser/server (B/S) architecture to realize an intelligent corrosion management system. Design/methodology/approach The system is based on Java EE technology platform and model view controller (MVC) three-tier architecture development model. The authors used an extended three-dimensional interpolation model to predict corrosion rate, and the model is verified by cross-validation method. Additionally, MySQL is used to realize comprehensive data management. Findings The proposed anti-corrosion system thoroughly considers a full use of corrosion data, relevant corrosion prediction and efficient corrosion management in one system. Therefore, this system can achieve an accurate prediction of corrosion rate, risk evaluation, risk alert and expert suggestion for equipment in petrochemical plants. Originality/value Collectively, this present study has important ramifications for the more efficient and scientific management of corrosion data in enterprises and experts’ guidance in controlling corrosion status. At the same time, the digital management of corrosion data can provide a data support for related theoretical researches in corrosion field, and the intelligent system also offers examples in other fields to improve system by adding intelligence means.

Interpolation Analysis of Industrial Big Data Based on KDR Knowledge Recognition Algorithm Considering Singular Value Decomposition Theory

“…Based on this, we must first analyze these features, or all of these features are added to the model, the cause of the complexity of the Bayesian network, but also as the number of properties and geometric ratio increase. Although the artificial neural network is also a very popular machine learning technique in the present situation, it needs more work to interpolate the missing data [1][2][3][4][5][6]. In the traditional KDR operation method, the solution of interval cut-off is a game method.…”

Application of artificial intelligence (AI) in the area of corrosion protection

“…Compared with traditional methods, AI shows unique advantages (Boucherit et al , 2022; Boucherit et al , 2019; Boucherit and Arbaoui, 2021). Its efficient and in-depth data processing method can rapidly advance the research process (Butler et al , 2018; Kumari et al , 2017; Wang et al , 2019; Zhao et al , 2021).…”