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管道内检测技术综述

A Review on Pipeline In-Line Inspection Technologies.

作者信息

Ma Qingmiao, Liang Weige, Zhou Peiyi

机构信息

Naval University of Engineering, Wuhan 430033, China.

出版信息

Sensors (Basel). 2025 Aug 7;25(15):4873. doi: 10.3390/s25154873.

DOI:10.3390/s25154873
PMID:40808037
原文链接:https://pmc.ncbi.nlm.nih.gov/articles/PMC12349407/
Abstract

Pipelines, as critical infrastructure in energy transmission, municipal facilities, industrial production, and specialized equipment, are essential to national economic security and social stability. This paper systematically reviews the domestic and international research status of pipeline in-line inspection (ILI) technologies, with a focus on four major technological systems: electromagnetic, acoustic, optical, and robotic technologies. The operational principles, application scenarios, advantages, and limitations of each technology are analyzed in detail. Although existing technologies have achieved significant progress in defect detection accuracy and environmental adaptability, they still face challenges including insufficient adaptability to complex environments, the inherent trade-off between detection accuracy and efficiency, and high equipment costs. Future research directions are identified as follows: intelligent algorithm optimization for multi-physics collaborative detection, miniaturized and integrated design of inspection devices, and scenario-specific development for specialized environments. Through technological innovation and multidisciplinary integration, pipeline ILI technologies are expected to progressively realize efficient, precise, and low-cost lifecycle safety monitoring of pipelines.

摘要

管道作为能源传输、市政设施、工业生产和专用设备中的关键基础设施,对国家经济安全和社会稳定至关重要。本文系统综述了管道内检测(ILI)技术的国内外研究现状,重点关注电磁、声学、光学和机器人四大技术体系。详细分析了每种技术的工作原理、应用场景、优点和局限性。尽管现有技术在缺陷检测精度和环境适应性方面取得了显著进展,但仍面临着对复杂环境适应性不足、检测精度与效率之间的内在权衡以及设备成本高等挑战。确定未来的研究方向如下:多物理场协同检测的智能算法优化、检测设备的小型化与集成设计以及针对特殊环境的场景化开发。通过技术创新和多学科融合,管道ILI技术有望逐步实现对管道高效、精确和低成本的全生命周期安全监测。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/0e99/12349407/8722bb32d626/sensors-25-04873-g011.jpg
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https://cdn.ncbi.nlm.nih.gov/pmc/blobs/0e99/12349407/6954fdd38685/sensors-25-04873-g009.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/0e99/12349407/5c18a79751c7/sensors-25-04873-g010.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/0e99/12349407/8722bb32d626/sensors-25-04873-g011.jpg
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https://cdn.ncbi.nlm.nih.gov/pmc/blobs/0e99/12349407/bd7a81e4f81d/sensors-25-04873-g003.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/0e99/12349407/1445c07d31d8/sensors-25-04873-g004.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/0e99/12349407/176f103f134b/sensors-25-04873-g005.jpg
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https://cdn.ncbi.nlm.nih.gov/pmc/blobs/0e99/12349407/c502b1f20c05/sensors-25-04873-g007.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/0e99/12349407/ee59c192e71b/sensors-25-04873-g008.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/0e99/12349407/6954fdd38685/sensors-25-04873-g009.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/0e99/12349407/5c18a79751c7/sensors-25-04873-g010.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/0e99/12349407/8722bb32d626/sensors-25-04873-g011.jpg

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The Use of Green Laser in LiDAR Bathymetry: State of the Art and Recent Advancements.绿光激光在激光雷达测深中的应用:现状与最新进展。
Sensors (Basel). 2022 Dec 27;23(1):292. doi: 10.3390/s23010292.
3
X-ray imaging techniques for inspection of composite pipelines.X 射线成像技术在复合管道检测中的应用。
Micron. 2021 Jun;145:103033. doi: 10.1016/j.micron.2021.103033. Epub 2021 Feb 18.