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.

中文翻译：

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基于大数据分析的智能防腐专家系统

目的

本文旨在开发一种基于浏览器/服务器（B / S）架构的智能防腐专家系统，以实现智能腐蚀管理系统。

设计/方法/方法

该系统基于Java EE技术平台和模型视图控制器（MVC）三层体系结构开发模型。作者使用扩展的三维插值模型预测腐蚀速率，并通过交叉验证方法对该模型进行了验证。此外，MySQL用于实现全面的数据管理。

发现

拟议的防腐蚀系统在一个系统中全面考虑了腐蚀数据的充分利用，相关的腐蚀预测和有效的腐蚀管理。因此，该系统可以实现对石化厂设备腐蚀速率的准确预测，风险评估，风险预警和专家建议。

创意/价值

总体而言，本研究对企业中腐蚀数据的更有效和科学管理以及专家在控制腐蚀状态方面的指导具有重要意义。同时，腐蚀数据的数字化管理可以为腐蚀领域的相关理论研究提供数据支持，智能系统还可以为其他领域的实例提供实例，通过增加智能手段来改进系统。