CorrosionRADAR for Remote Monitoring of Corrosion Under Insulation (CUI) with Industrial IOT

Abstract

This paper explores the utilization of digital technologies, specifically the Industrial Internet of Things (IIOT), in the context of predictive Corrosion Management, focusing on a compelling case of corrosion occurring under insulation. It discusses the implementation of digitalization tools and presents real-world examples of their application in the field. By harnessing digital data collection and predictive algorithms based on factors like moisture levels and temperature, hidden corrosion issues such as Corrosion Under Insulation (CUI) can be effectively managed.

This approach involves leveraging gathered data to comprehensively oversee assets, identify high-risk areas, and plan inspections and maintenance proactively. The paper outlines a predictive methodology enabling asset owners to manage their assets both economically and safely by identifying and addressing risks beforehand. This technology integrates sensors to assess conditions under insulation and employs predictive modeling to swiftly estimate potential risks.

The paper delves into various use-cases and practical applications, demonstrating how employing sensors and industrial IoT can revolutionize the detection and prediction of corrosion in the field. This advancement holds significant promise for ensuring the integrity of assets plagued by concealed corrosion issues like CUI. The paper also presents the latest field case studies, bolstering confidence in this monitoring approach and contributing to the ongoing development of knowledge within the corrosion industry.