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基于电阻传感器的自动腐蚀监测仪在大气腐蚀研究中的应用

Application of An Electrical Resistance Sensor-Based Automated Corrosion Monitor in the Study of Atmospheric Corrosion.

作者信息

Li Zhuolin, Fu Dongmei, Li Ying, Wang Gaoyuan, Meng Jintao, Zhang Dawei, Yang Zhaohui, Ding Guoqing, Zhao Jinbin

机构信息

School of Automation and Electrical Engineering, University of Science and Technology Beijing, Beijing 100083, China.

Institute for Advanced Materials and Technology, University of Science and Technology Beijing, Beijing 100083, China.

出版信息

Materials (Basel). 2019 Apr 1;12(7):1065. doi: 10.3390/ma12071065.

DOI:10.3390/ma12071065
PMID:30939746
原文链接:https://pmc.ncbi.nlm.nih.gov/articles/PMC6480216/
Abstract

An automated corrosion monitor, named the Internet of Things atmospheric corrosion monitor (IoT ACM) has been developed. IoT ACM is based on electrical resistance sensor and enables accurate and continuous measurement of corrosion data of metallic materials. The objective of this research is to study the characteristics of atmospheric corrosion by analyzing the acquired corrosion data from IoT ACM. Employing data processing and data analysis methods to research the acquired corrosion data of steel, the atmospheric corrosion characteristics implied in the corrosion data can be discovered. Comparing the experiment results with the phenomenon of previous laboratory experiment and conclusions of previously published reports, the research results are tested and verified. The experiment results show that the change regulation of atmospheric corrosion data in the actual environment is reasonable and normal. The variation of corrosion depth is obviously influenced by relative humidity, temperature and part of air pollutants. It can be concluded that IoT ACM can be well applied to the conditions of atmospheric corrosion monitoring of metallic materials and the study of atmospheric corrosion by applying IoT ACM is effective and instructive under an actual atmospheric environment.

摘要

一种名为物联网大气腐蚀监测仪（IoT ACM）的自动腐蚀监测仪已经研制成功。IoT ACM基于电阻传感器，能够准确、连续地测量金属材料的腐蚀数据。本研究的目的是通过分析从IoT ACM获取的腐蚀数据来研究大气腐蚀的特性。采用数据处理和数据分析方法对获取的钢材腐蚀数据进行研究，可以发现腐蚀数据中隐含的大气腐蚀特性。将实验结果与以往实验室实验现象和已发表报告的结论进行比较，对研究结果进行了检验和验证。实验结果表明，实际环境中大气腐蚀数据的变化规律是合理正常的。腐蚀深度的变化明显受相对湿度、温度和部分空气污染物的影响。可以得出结论，IoT ACM能够很好地应用于金属材料大气腐蚀监测条件，在实际大气环境下应用IoT ACM研究大气腐蚀是有效且具有指导意义的。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/8117/6480216/09c5c9bb5443/materials-12-01065-g009.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/8117/6480216/d2112eda2529/materials-12-01065-g001.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/8117/6480216/e7ce5e056ee6/materials-12-01065-g002.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/8117/6480216/c8d8cc79eb5c/materials-12-01065-g003.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/8117/6480216/22e37857d9ac/materials-12-01065-g004.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/8117/6480216/e5f4b3fd33d4/materials-12-01065-g005.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/8117/6480216/f1c973bfd233/materials-12-01065-g006.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/8117/6480216/7c390fd2c9ec/materials-12-01065-g007a.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/8117/6480216/7fd53cff1083/materials-12-01065-g008.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/8117/6480216/09c5c9bb5443/materials-12-01065-g009.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/8117/6480216/d2112eda2529/materials-12-01065-g001.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/8117/6480216/e7ce5e056ee6/materials-12-01065-g002.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/8117/6480216/c8d8cc79eb5c/materials-12-01065-g003.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/8117/6480216/22e37857d9ac/materials-12-01065-g004.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/8117/6480216/e5f4b3fd33d4/materials-12-01065-g005.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/8117/6480216/f1c973bfd233/materials-12-01065-g006.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/8117/6480216/7c390fd2c9ec/materials-12-01065-g007a.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/8117/6480216/7fd53cff1083/materials-12-01065-g008.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/8117/6480216/09c5c9bb5443/materials-12-01065-g009.jpg

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