Oil and gas pipeline robot localization techniques: A review

IF 1.8 4区工程技术 Q3 ENGINEERING, MECHANICAL

Proceedings of the Institution of Mechanical Engineers, Part C: Journal of Mechanical Engineering Science Pub Date : 2024-09-17 DOI:10.1177/09544062241272431

Yujia Li, Xiao Huang

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Abstract

Globally, pipelines are the primary means for transporting resources. To ensure the safety and reliability of pipeline transportation, it is essential to regularly use pipeline robots for inspections. Localization techniques for these robots are critical as they determine the real-time position and status of the robot inside the pipeline, playing an extremely important role in pipeline operations. Understanding the latest research trends in pipeline robot localization techniques can help advance the overall development of the pipeline field and reduce the potential for research duplication. This paper reviews the global developments in pipeline robot localization techniques over the past decade, categorizing them into three major methods: in-pipe localization, out-of-pipe localization and multi-source information fusion localization. It analyzes the fundamentals, strengths and weaknesses of eight major localization techniques for pipeline robots, identifies the current limitations and solutions in these technologies, discusses the field test analysis and practical design factors, and anticipates the open research challenges and future prospects of this field.

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油气管道机器人定位技术：综述

在全球范围内，管道是运输资源的主要手段。为确保管道运输的安全性和可靠性，必须定期使用管道机器人进行检查。这些机器人的定位技术至关重要，因为它们能确定机器人在管道内的实时位置和状态，在管道运行中发挥着极其重要的作用。了解管道机器人定位技术的最新研究趋势有助于推动管道领域的整体发展，减少重复研究的可能性。本文回顾了近十年来全球管道机器人定位技术的发展，将其分为三种主要方法：管道内定位、管道外定位和多源信息融合定位。本文分析了八种主要管道机器人定位技术的基本原理、优缺点，指出了当前这些技术的局限性和解决方案，讨论了现场测试分析和实际设计因素，并预测了该领域的研究挑战和未来前景。

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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来源期刊

Proceedings of the Institution of Mechanical Engineers, Part C: Journal of Mechanical Engineering Science 工程技术-工程：机械

CiteScore

3.80

自引率

10.00%

发文量

625

审稿时长

4.3 months

期刊介绍： The Journal of Mechanical Engineering Science advances the understanding of both the fundamentals of engineering science and its application to the solution of challenges and problems in engineering.