石油化工腐蚀适应性评估专家系统研制  

EXPLOITATION OF EXPERT SYSTEM OF FITNESS-FOR-SERVICE FOR PETROCHEMICAL CORROSION

作　　者：李晓刚[1,2] 付冬梅[1] 董超芳[1] 陈华[1] 

机构地区：[1]北京科技大学 [2]金属腐蚀与防护国家重点实验室沈阳110016

出　　处：《中国腐蚀与防护学报》2002年第5期264-268,共5页Journal of Chinese Society For Corrosion and Protection

基　　金：中国石油化工集团公司‘九五’重点项目 ;973项目"材料的环境行为与失效机理"

摘　　要：介绍了炼油设备腐蚀适应性评估 (Fitness-For-Service ,简称FFS)专家系统的总体设计结构、功能实现及特点 .系统采用了先进的神经网络理论和适应性评估技术最新成果 ,实现了对设备腐蚀缺陷的在线评价 ,对评估不合格的腐蚀缺陷 ,能够提供保证设备安全而要降低运行条件的具体建议 .另外 ,系统给出了多种腐蚀类型的基本特性概述、腐蚀机理说明、各腐蚀类型易发生的部位说明以及影响腐蚀速率的主要影响因素 .还提供了重要且最易发生腐蚀的装置重点部位选材推荐表 .The structure,function and characteristic of expert system of Fitness-For-Service for petrochemical(ESFFSR)was introduced in this paper.In ESFFSR,aritifical neural network(ANN)and Fitness-For-Service technology were used to evaluate the corrosion defects in refinery.ANN is used to make the relationship between corrosion rate and the effect factors for general corrosion.Fitness-For-Service models are used to analyze the local corrosion.Based on the ANN and Fitness-For-Servic models,ESFFSR can make suggestions for lower temperature and pressure if the defect is incompetent automatically.In addition,ESFFSR would give out the corrosion type,mechanism,characteristics and effect factors on line in petrochemical.The selected material of commended tables to anti-corrosion for distillation,catalysis and coking equipment were also given in ESFFSR.

关 键 词：腐蚀适应性评估 专家系统 研制 数据库 神经网络 炼油设备 

分 类 号：TE986[石油与天然气工程—石油机械设备] TP182[自动化与计算机技术—控制理论与控制工程]