基于深度学习的长输管道泄漏检测技术综述

Review of Leak Detection Technology for Long-Distance Pipelines Based on Deep Learning

摘要

针对长输管道泄漏检测中非线性特征复杂、检测精度等问题, 系统探究了深度学习技术在长输管道泄漏检测中的应用价值与发展潜力。首先回顾了目前国内外深度学习在长输管道泄漏检测的研究现状, 然后探讨了基于深度学习的长输管道泄漏检测研究的关键技术, 并总结了现阶段难点问题。最后, 讨论了深度学习技术在长输管道泄漏检测领域的优势与局限性, 并对其未来研究方向进行了展望。

Abstract

To address the challenges associated with complex nonlinear characteristics and limited detection accuracy in long-distance pipeline leak detection, the application value and development potential of deep learning technologies are systematically investigated. Firstly, the current research status of deep learning in long-distance pipeline leakage detection both domestically and internationally are reviewed. It analyzed key technologies in deep learning-based pipeline leak detection and summarized existing challenges. Finally, this study discussed the advantages and limitations of deep learning in the field and outlined future research directions for long-distance pipeline leakage detection technology.

关键词

深度学习 / 泄漏检测 / 长输管道

Key words

deep learning / leak detection / long-distance pipelines

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基金资助

国家自然科学基金资助项目(62473096)

东北石油大学人才引进科研启动经费基金资助项目(13051202301)

青年科学基金资助项目(C类)(6250021644)