Pipeline Damage Assessment Based on Corrosion Segmentation Using JetRacer Kit

Roman Mysiuk

Abstract

This paper describes the development of a criticality assessment of corroded metallic pipelines using the JetRacer Kit. Considering the difficulty of accessing pipelines from the inside, the developed program launched on a robotic platform allows for diagnostics. Replacing damaged sections of pipelines after scanning can increase the longevity of operation. The video stream is segmented using the method of separating colour characteristics of corrosion at different stages of its progression and tested on the system at several investigated corrosion areas inside the pipelines. The process of segmentation of corrosion into three levels, high, medium, and low, is described. Each damage level is visualized using the corresponding colours: red, orange, and yellow. In addition, the corrosion concentration for each level was grouped into selected rectangles. Damage assessment is based on the segmented number of found image pixels. The work results can be helpful for services engaged in diagnosing pipelines.

10.22178/pos.95-15


Keywords


corrosion detection; corrosion segmentation; data processing; Nvidia Jetson Nano

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References


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Copyright (c) 2023 Roman Mysiuk

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