In-Line Inspection of Pipeline Defects Detection Using Ring-Type Laser

M. Durai, Y. Hsu, Ho Chang
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引用次数: 1

Abstract

Pipeline plays a vital role in transporting fluids like oils, water, and petrochemical substances for longer distances. Based on the materials they carry, prolonged usage may cause the initiation of defects in the pipeline. These defects occur due to the formed salt deposits, chemical reaction happens between the inner surface and the transferring substance, prevailing environmental conditions, etc. These defects, if not identified earlier may lead to significant losses to the industry. In this work, an in-line inspection system utilizes the nondestructive way for analyzing the internal defects in the petrochemical pipeline. This system consists of a pipeline inspection robot having two major units namely the visual inspection unit and the power carrier unit. The visual inspection unit makes use of a ring-type laser diode and the camera. The laser diode serves as a light source for capturing good quality images of inspection. This unit is controlled by the Arduino in the power carrier unit which provides the necessary movement throughout the pipe. The inspected images captured by the camera are further processed with the aid of NI vision assistant software. After applying the processing function parameters provided by this software, the defect location can be clearly visualized with high precision. Three sets of defects are introduced in a Polylactide (PLA) pipe based on its position and angle along the circumference of the pipe. Further, this robot system serves as a real-time interactive image synchronization system for acquiring the inspected images. By comparing the actual and calculated defect size, the error percentage obtained was less than 5%.
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利用环形激光在线检测管道缺陷
管道在长距离输送油、水和石化物质等流体方面起着至关重要的作用。根据它们所携带的材料,长时间使用可能会导致管道缺陷的开始。这些缺陷是由于形成的盐沉积、内表面与传递物质之间发生化学反应、当时的环境条件等原因造成的。如果不及早发现这些缺陷,可能会给行业带来重大损失。本文介绍了一种利用无损检测方法对石化管道内部缺陷进行分析的在线检测系统。该系统由管道巡检机器人组成,该机器人有视觉巡检单元和动力载体单元两大单元。目视检查单元使用环形激光二极管和照相机。激光二极管作为光源用于捕获高质量的检测图像。该单元由电力载波单元中的Arduino控制,该单元在整个管道中提供必要的运动。摄像机捕获的检测图像在NI视觉辅助软件的辅助下进行进一步处理。应用该软件提供的加工功能参数,可以将缺陷位置清晰可视化,精度高。介绍了聚乳酸(PLA)管材中缺陷沿管径的位置和角度的三组缺陷。此外,该机器人系统作为实时交互式图像同步系统,用于获取被检测的图像。通过比较实际缺陷尺寸和计算缺陷尺寸,得到的误差百分比小于5%。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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