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.
Highlights
Real-time and on-line corrosion monitoring are some of the focuses of scientific research in informatics for materials corrosion and protection [1]
Through comprehensive analysis of the experiment results, it can be concluded that in the progress of application of continuous monitoring by Internet of Things atmospheric corrosion monitor (IoT atmospheric corrosion monitor (ACM)), Maximal information coefficient (MIC) could reflect the characteristics of atmospheric corrosion of steel in the initial stage, especially the influence of RH and T
The atmospheric corrosion of Q235 steel is analyzed by using IoT ACM under an outdoor actual atmospheric environment
Summary
Real-time and on-line corrosion monitoring are some of the focuses of scientific research in informatics for materials corrosion and protection [1]. With the rapid development of design philosophy and technology, state-of-the-art electrical resistance sensor can accurately acquire corrosion data, and adapt to a variety of corrosion monitoring conditions, including the actual atmospheric environment. Denoising corrosion data to remove the high frequency noise and study the change regulation to analyze some common phenomena of corrosion data in the case of using IoT ACM in an actual atmospheric environment. This experiment can provide new and effective corrosion data processing and research method and can prove the change regulation of corrosion data is reasonable and normal. Through the analysis of the experimental results, the extent of influence of atmospheric environmental elements on atmospheric corrosion of steel can be obtained
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