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Home > Urban and Rural Studies > 2021 No.23 > 基于深度学习的盾构隧道衬砌管片环缝自动识别技术研究

  • 基于深度学习的盾构隧道衬砌管片环缝自动识别技术研究

    Author(s)：

    卢建军 黄江华 柯淼

    Publication Title：

    Urban and Rural Studies 2021 No.23

    Affiliations：

    浙江华东测绘与工程安全技术有限公司

    Abstract：

    地铁隧道在运维期间必将出现各种病害，而现有检测手段落后极易漏检，而准确获取隧道变形、病害发生的位置的前提是需要准确识别盾构隧道管片环缝的位置。在移动三维激光技术获取高精度点云之后，本文基于k-means聚类算法和卷积神经网络YOLO V3的方法能够自动识别衬砌管片环缝，为隧道病害的快速定位提供了基础保障。

    Keywords：

    盾构隧道；管片环缝；自动识别；深度学习

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    [1] 卢建军,黄江华,柯淼.基于深度学习的盾构隧道衬砌管片环缝自动识别技术研究[J].Urban and Rural Studies,2021(23),.

城镇建设
Urban and Rural Studies

Language: 中文

CN：10-1589/TU

ISSN：2096-6539

Publication Frequency: 半月刊

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