Strategies for pipeline inspection using mobile robots

J Zhang, X. Niu, A. Croxford, B. Drinkwater
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Abstract

Continuous non-destructive monitoring of large-scale pipelines is extremely challenging with traditional manual inspections. In this paper, we explore possible strategies that a collection of inspection robots could adopt to address this challenge. We envision the continuous inspection of a pipe performed by multiple robots or a single robot that combines measurements from multiple locations. The robots use guided ultrasonic waves to detect defects and interrogate their locations. The experimental inspection works were performed on a 3-meter-long steel pipe with multiple defects. The whole inspection process was divided into a defect detection stage and a defect localisation stage. In the detection stage the receiver operating characteristic defines a threshold to find a detection zone in which a defect is thought to be present. In the localisation stage, further six measurements arranged in a pentagon with a central measurement point are made to locate the defect within this zone to a certain accuracy. We also discussed the effect of sensor misposition on defect location accuracy using Monte Carlo simulations. As predicted from simulation, seven of nine defects on the pipe were detected and located with reasonable defect location accuracy. This accuracy was further improved by using additional measurements. A methodology by which mobile robots can inspect large pipelines has been described and demonstrated on detecting and localising multiple defects on a 3-mm-long steel pipe. This will benefit a workable approach to the use of autonomous (or semiautonomous) mobile robots for the inspection of large structures that is just the beginning of exploration in the area.
基于移动机器人的管道检测策略
对于传统的人工检测来说,大规模管道的连续无损监测极具挑战性。在本文中,我们探讨了一组检测机器人可以采用的可能策略来应对这一挑战。我们设想由多个机器人或单个机器人结合多个位置的测量来连续检查管道。机器人使用引导超声波来检测缺陷并询问其位置。实验检测工作是在一个3米长的多缺陷钢管上进行的。整个检测过程分为缺陷检测阶段和缺陷定位阶段。在检测阶段,接收器工作特性定义了一个阈值,以找到被认为存在缺陷的检测区域。在定位阶段,进一步进行六次测量,以中心测量点排列成五边形,以一定的精度定位该区域内的缺陷。我们还讨论了传感器错位对缺陷定位精度的影响。仿真结果表明,对管道上的9个缺陷中有7个缺陷进行了检测和定位,缺陷定位精度合理。通过使用额外的测量,这种精度得到了进一步提高。一种移动机器人检测大型管道的方法已被描述和演示,用于检测和定位3毫米长的钢管上的多个缺陷。这将有利于采用一种可行的方法,使用自主(或半自主)移动机器人来检查大型结构,这只是该地区探索的开始。
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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