焊管2026，Vol.49Issue(8)：1-12,12.DOI:10.19291/j.cnki.1001-3938.2026.08.001
埋地油气管道外腐蚀多因素高通量监测与寿命智能管理平台
High-throughput Multi-factor Monitoring and Intelligent Life Management Platform for External Corrosion of Buried Oil and Gas Pipelines
摘要
Abstract
A high-throughput monitoring and intelligent life management platform for external corrosion of buried oil and gas pipelines is constructed to address the coupling effects of soil environment,stray current,and cathodic protection status,as well as the traditional operation and maintenance focus on the pipeline body and lack comprehensive environmental dynamic perception capabilities.This platform integrates hardware devices such as intelligent testing piles,polarization probes,soil environment and stray current sensors,and combines core technologies such as the Internet of Things,cloud databases,GIS 3D visualization,machine learning,and corrosion agent models to achieve data collection,status assessment,risk warning,and life prediction.The demonstration application results in Tongzhou,Beijing show that the platform can stably obtain key parameters such as pipe-to-soil potential,off-potential,cathodic protection current,soil conductivity,moisture content,pH value,corrosion current,and stray current,effectively compensating for the shortcomings of traditional pipeline external corrosion monitoring technology.Research results can provide important technical support and engineering reference for the refined identification of external corrosion risks,optimization of operation and maintenance strategies,and intelligent operation and maintenance systems of buried oil and gas pipelines.关键词
埋地油气管道/管道外腐蚀/阴极保护/腐蚀大数据/智能运维Key words
buried oil and gas pipeline/pipeline external corrosion/cathodic protection/corrosion big data/intelligent operation and maintenance分类
能源科技引用本文复制引用
李众,杨小佳,杜翠薇,杜艳霞,程学群,李晓刚..埋地油气管道外腐蚀多因素高通量监测与寿命智能管理平台[J].焊管,2026,49(8):1-12,12.基金项目
工业和信息化部新材料重大专项项目(项目编号2024ZD0607500) （项目编号2024ZD0607500）
十四五国家科技基础资源调查专项"川藏地区材料环境腐蚀调查、联网观测与数据库建设"(项目编号2021FY100601) （项目编号2021FY100601）
国家自然科学基金"锑对含镍海洋高强结构钢硫酸盐还原菌微生物腐蚀的动态缓蚀机理和规律研究"(项目编号52401074) （项目编号52401074）
中央高校基本科研业务费专项资金"微生物腐蚀大数据采集方法的构建研究"(项目编号FRF-BD-25-039). （项目编号FRF-BD-25-039）
