Review of Internet of Things System onAtmospheric Corrosion Monitoring

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Muhammad Awwaludin
Sri Hastuty
Akhmad Sarif
Makmuri
Mustasyar Perkasa
Mochamad Hapis Paturahman
Andre Rifat Ariq Girasto
Nauval Bagus Maulana
Fatwa Khoirrun Nadhor

Abstract

The Internet of Things (IoT) is used widely in daily life, including smart homes, industrial automation, and environmental monitoring. IoT devices are also utilized in industrial settings for real-time equipment performance and predictive maintenance monitoring. Utilizing IoT to make atmospheric corrosion monitoring easier. The IoT on atmospheric corrosion monitoring is essential because it can provide real-time data on corrosion rates, enabling proactive maintenance and preventing costly damage to infrastructure caused by corrosion. Integrating IoT and corrosion monitoring remains relatively uncommon, with numerous parameters necessitating consideration by the environment in which it would be placed for effective implementation, such as sensor placement, data accuracy, and connectivity reliability. Here, we demonstrate a comparative analysis between cloud and field protocols based on existing studies, specifically focusing on utilizing Arduino ATmega 328 and Node MCU8266 microcontrollers for atmospheric corrosion monitoring through IoT integration. This study offers a more comprehensive understanding of the suitability and effectiveness of Arduino ATmega 328 and Node MCU8266 microcontrollers for corrosion monitoring. This study aims to be a foundational step towards establishing integrated Internet of Things systems for corrosion monitoring in industrial settings, paving the way for proactive maintenance strategies and enhanced infrastructure reliability.

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How to Cite
Review of Internet of Things System onAtmospheric Corrosion Monitoring. (2024). ASTEEC Conference Proceeding: Computer Science, 1(1), 283-300. https://www.proceedings.asteec.com/index.php/acp-cs/article/view/22
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How to Cite

Review of Internet of Things System onAtmospheric Corrosion Monitoring. (2024). ASTEEC Conference Proceeding: Computer Science, 1(1), 283-300. https://www.proceedings.asteec.com/index.php/acp-cs/article/view/22