Underground Metal Pipeline Localization Using Low-Cost Wireless Magnetic Sensors Mounted on an Excavator
Underground Metal Pipeline Localization Using Low-Cost Wireless Magnetic Sensors Mounted on an Excavator
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DOI：
10.1109/tie.2022.3159953
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发表时间：
2022-10
影响因子：
7.7
通讯作者：
Jeonghee Kim;Youngjib Ham;Hangue Park
中科院分区：
文献类型：
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作者：
Jeonghee Kim;Youngjib Ham;Hangue Park
为了最大限度地减少地下管道的开挖破坏，本文提出通过监测与地下管道的距离信息，为操作人员提供实时反馈。尽管利用磁异常检测对地下铁磁管道进行了多次定位，但由于低信噪比、未知的外部磁干扰（EMI）和高计算能力，该方法尚未在实时挖掘作业中实施。为了解决这些限制，我们提出了一种将定制设计的无线传感器系统定位在挖掘机铲斗上的方法，以提高实时距离估计的准确性，同时有效地消除电磁干扰。我们使用14:1实验室规模的挖掘机和六种尺寸的铁磁管道来展示该系统。为了建立每个管道的距离估计模型，我们从8个距离（从5到75 mm，间隔10 mm）测量铁磁管道引起的磁异常。采用定位算法的无线系统成功估计了传感器与管道之间的距离，总体误差小于4.38±1.62 mm。实验结果表明，该系统能够准确定位管道的位置。这将为提供准确的空间信息奠定基础，并最终防止建筑工地的重大挖掘/钻探损害。
To minimize the excavation damage of underground pipelines, in this article, we propose to provide real-time feedback to operators by monitoring the distance information from the underground pipeline. Despite multiple efforts to locate underground ferromagnetic pipelines using the magnetic anomaly detection, it has not been implemented in real-time excavation operations due to low signal-to-noise ratios, unknown external magnetic interference (EMI), and high computational power. To address these limitations, we propose an approach to locating a custom-designed wireless sensor system on the excavator bucket to increase accuracy of real-time distance estimation with efficient EMI cancelation. We present the system using a 14:1 lab-scaled excavator and six sizes of ferromagnetic pipes. To create a distance estimation model of each pipe, we measure the magnetic anomaly caused by ferromagnetic pipes from eight distances (from 5 to 75 mm, spaced 10 mm apart). The wireless system with the localization algorithm successfully estimates the distance between the sensor and the pipe with a less than 4.38 ± 1.62 mm error overall. This pilot study shows that the proposed system with the localization algorithm is able to accurately locate pipes. This will lay the foundation for providing accurate spatial information, and ultimately prevent critical excavation/drilling damage at construction sites.