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基于电位列阵的金属管道坑蚀监测研究 被引量:43

Research on metal tubing pit corrosion monitoring based on potential-array method
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摘要 基于电位列阵的金属管道(容器)在线腐蚀检测方法又称为场指纹法(field signature method,FSM)。FSM将被测电极列阵分布在被测管道外部,通过电阻与管道厚度的相关关系,可以实时在线监测管道内部的腐蚀程度。FSM方法在21世纪90年代已经开始应用于海底管道监测,由于效果很好,国外已比较广泛地将此方法应用于陆上油气运输管道和重要容器上。FSM方法虽然是基于看似简单的欧姆定律,但是在使用上不加以注意,其牵扯效应将使测试结果产生很大的误差。本文在介绍FSM方法的基础上,指出了FSM方法在理论上和实际工程应用中的局限性,提出了FSM方法中牵扯效应的定义,分析了牵扯效应的成因和影响的大小,介绍了牵扯因子的求解和消除牵扯效应的方法。理论分析和试验表明,牵扯效应消除后可大幅度地提高FSM方法的精度,特别是提高了局部坑蚀的检测精度。本文在理论上发展和完善了FSM方法。 Online metal pipe corrosion monitoring method based on potential-array is also known as Field Signature Method(FSM).In FSM,electrode array is arranged on tube exterior;and according to the relations between electrical resistances and thickness of the tube,the degree of corrosion is calculated in real time and on-line.FSM has been widely applied since 1990s in the field of submarine tube monitoring.Due to its significant effect,the method has been extended to land oil/gas transit tubes and important capacitors abroad.It seems that FSM is based on simple Ohm' Law,however;if no used properly,the relevant Drag Effect could incur a large margin of error.This paper defines the Drag Effect,analyzes the cause of the effect and its influence based on the introduction of FSM,and presents the method for calculating the drag factors and removing its errors.Theoretical analysis and experiments show that the test accuracy could be greatly enhanced by eliminating the errors caused by Drag Effect,especially the test accuracy for local pit corrosion can be improved.This paper develops and perfects the FSM method on the aspects of both theory and application.
出处 《仪器仪表学报》 EI CAS CSCD 北大核心 2011年第1期19-25,共7页 Chinese Journal of Scientific Instrument
基金 四川省国际科技合作与交流研究计划(2007H12-017)项目资助
关键词 FSM 电位列阵法 局部坑蚀 腐蚀监测 牵扯效应 牵扯因子 FSM potential-array local pitting corrosion monitoring drag effect drag factor
作者简介 万正军,2009年于四川大学获得学士学位,现为四川大学制造科学与工程学院测控系硕士研究生,研究方向:传感器及智能化系统。E—mail:wanzj1987@qq.com廖俊必,1986年于成都科技大学获得硕士学位,1998年于英国DERBY大学获博士学位,现为四川大学教授、博士生导师,研究方向:传感器及智能化系统。E—mail:liaojunbi@scu.edu.cn
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参考文献14

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