管道腐蚀状态评估是管道完整性管理的重要部分,为了评估管道腐蚀状态,根据长输管道腐蚀特点,采用两轮内检测数据计算管道的局部腐蚀速率。以局部腐蚀速率为依据,采用分类与回归树(CART)将管道划分为若干单元,利用熵权法建立腐蚀状态评估模型,并结合工程实例分析了管道腐蚀状态的相对等级。结果表明:平均预估维修比(ERF)对该管道腐蚀状态的影响最大,该模型确定了腐蚀最严重的管段为44、38、45、37单元,便于业主对这些管段进行重点监测和维修;基于CART-熵权法的腐蚀状态评估模型能够很好地用于管道腐蚀状态评估工作,为业主制定检维修策略提供科学合理的依据。

Pipeline corrosion state evaluation is an important part of pipeline integrity management. In order to assess the corrosion state of the pipeline, according to the corrosion characteristics of long-distance pipeline, the two rounds of internal inspection datas were used to calculate the local corrosion rate of the pipeline. Based on the local corrosion rate, using classification and regression tree (CART) to divide the pipeline into a number of units, and the entropy weight method was used to establish the corrosion state assessment model. And combined with engineering examples, the relative level of pipeline corrosion status was analyzed. The results showed that the average estimated repair factor (ERF) had the greatest influence on the corrosion status of the pipeline, and the model identified the most seriously corroded pipe sections were 44, 38, 45 and 37 units, which facilitated the owner to carry out key monitoring and maintenance of these pipe sections. The corrosion state assessment model based on CART-entropy weight method could be well used for pipeline corrosion state assessment work, and provided a scientific and reasonable basis for the owner to develop inspection and maintenance strategies.