摘要： 【目的 /意义】保温层下腐蚀（ CUI）是油气、石化及海洋工程等领域危害严重的的隐蔽性腐蚀类型，易引起突发泄漏与非计划停机，威胁工业设施安全运行与结构完整。系统梳理其防控技术研究现状，对推动被动维修向主动预警转变、提升资产完整性管理具有重要意义。【分析 /评论 /进展】本文综述了典型保温层结构与常用防腐涂层的适用性与局限，总结了实验室条件下保温层下涂层加速测试方法进展；梳理了 CUI监检测技术发展脉络，重点评述了嵌入式微型传感器网络在温湿度与电化学参数原位监测中的应用潜力；并归纳了基于模型与数据驱动的预测方法。【结论 /展望】当前 CUI研究仍面临评价标准不统一、预测模型普适性不足等挑战。未来应加强多源数据融合，发展小型化、智能化在线监测技术，为工业装置智能防腐与长效安全运行提供支撑。

关键词: 保温层下腐蚀, 防腐涂层, 监检测技术, 实验室评价, 智能预测

Abstract: [Objective/Significance] Corrosion under insulation (CUI) is a highly hazardous andconcealed type of corrosion in the oil and gas, petrochemical, and marine engineering sectors. It canfrequently cause sudden leakage and unplanned shutdowns, threatening the safe operation andstructural integrity of industrial facilities. A systematic review of the current status of CUI preventionand control technologies is essential to promote the transition from reactive maintenance to proactiveearly warning and to enhance asset integrity management. [Analysis/Discussion/Progress] This paperreviews the applicability and limitations of typical insulation structures and commonly usedanti-corrosion coatings, summarizes recent advances in laboratory-based accelerated testing methods for coatings under insulation, outlines the development of CUI monitoring and detection technologies,highlights the application potential of embedded micro-sensor networks for in-situ monitoring oftemperature, humidity, and electrochemical parameters, and summarizes model-driven anddata-driven prediction methods. [Conclusion/Prospect] Current CUI research still faces challengessuch as inconsistent evaluation standards and insufficient generalizability of prediction models. Futureefforts should strengthen multi-source data and develop miniaturized and intelligent online monitoringtechnologies to support intelligent corrosion prevention and long-term safe operation of industrialinstallations. 

Key words: corrosion under insulation (CUI), anti-corrosion coatings, monitoring and detection technology, laboratory evaluation, intelligent prediction  

中图分类号: 

• TQ635.2