Concepts for drone based pipeline leak detection.

IF 2.9 Q2 ROBOTICS Frontiers in Robotics and AI Pub Date : 2024-08-15 eCollection Date: 2024-01-01 DOI:10.3389/frobt.2024.1426206
Lutz Bretschneider, Sven Bollmann, Deborah Houssin-Agbomson, Jacob Shaw, Neil Howes, Linh Nguyen, Rod Robinson, Jon Helmore, Michael Lichtenstern, Javis Nwaboh, Andrea Pogany, Volker Ebert, Astrid Lampert
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Abstract

The quickly developing drone technology can be used efficiently in the field of pipeline leak detection. The aim of this article is to provide drone mission concepts for detecting releases from pipelines. It provides an overview of the current applications of natural gas pipeline surveys, it considers environmental conditions by plume modelling, it discusses suitable commercially available sensors, and develops concepts for routine monitoring of pipelines and short term missions for localising and identifying a known leakage. Suitable platforms depend on the particular mission and requirements concerning sensors and legislation. As an illustration, a feasibility study during a release experiment is introduced. The main challenge of this study was the variability of wind direction on a time scale of minutes, which produces considerable differences to the plume simulations. Nevertheless, the leakage rates derived from the observations are in the same order of magnitude as the emission rates. Finally the results from the modeling, the release experiment and possible drone scenarios are combined and requirements for future application derived.

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基于无人机的管道泄漏检测概念。
快速发展的无人机技术可以有效地用于管道泄漏检测领域。本文旨在提供探测管道泄漏的无人机任务概念。文章概述了天然气管道勘测的当前应用,通过羽流建模考虑了环境条件,讨论了合适的商用传感器,并提出了管道常规监测概念以及定位和识别已知泄漏的短期任务概念。合适的平台取决于特定的任务以及对传感器和法规的要求。作为说明,介绍了在一次泄漏实验中进行的可行性研究。这项研究的主要挑战是风向在几分钟时间内的变化,这与羽流模拟产生了相当大的差异。尽管如此,从观测中得出的泄漏率与排放率的数量级相同。最后,将建模结果、释放实验和可能的无人机情景结合起来,得出未来应用的要求。
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来源期刊
CiteScore
6.50
自引率
5.90%
发文量
355
审稿时长
14 weeks
期刊介绍: Frontiers in Robotics and AI publishes rigorously peer-reviewed research covering all theory and applications of robotics, technology, and artificial intelligence, from biomedical to space robotics.
期刊最新文献
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