测绘通报 ›› 2025, Vol. 0 ›› Issue (7): 147-151.doi: 10.13474/j.cnki.11-2246.2025.0724

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基于线阵相机的地铁隧道病害检测方法

王智1,2, 赵亚波1,3,4, 孙海丽5   

  1. 1. 青岛市勘察测绘研究院, 山东 青岛 266032;
    2. 青岛市地下空间地理信息工程研究中心, 山东 青岛 266032;
    3. 地下空间数智化技术山东省工程研究中心, 山东 青岛 266032;
    4. 山东省 海岸带调查监测工程技术协同创新中心, 山东 青岛 266032;
    5. 首都师范大学, 北京 100048
  • 收稿日期:2024-12-06 发布日期:2025-08-02
  • 作者简介:王智(1986—),男,硕士,高级工程师,研究方向为三维激光扫描、精密工程测量等。E-mail:grooveboy@126.com

Subway tunnel disease detection method based on linear array camera

WANG Zhi1,2, ZHAO Yabo1,3,4, SUN Haili5   

  1. 1. Qingdao Surveying & Mapping Institute, Qingdao 266032, China;
    2. Qingdao Engineering Research Center of Geographical Information of Underground Space, Qingdao 266032, China;
    3. Shandong Engineering Research Center of Digital Intelligence Technology in Underground Space, Qingdao 266032, China;
    4. Shandong Joint Innovation Center of Coast Survey and Monitor Engineering, Qingdao 266032, China;
    5. Capital Normal University, Beijing 100048, China
  • Received:2024-12-06 Published:2025-08-02

摘要: 地铁隧道随着运营时间的增长,因地质条件、自然灾害、施工质量、周边环境等复杂因素的存在,易发生衬砌剥落、裂纹、渗漏水等常见病害。目前检查手段主要靠人工目视,受隧道断面、天窗时间、照明条件等各项因素的限制,难以高精度、高效率地完善隧道检查。本文设计了基于车载式多目相机的地铁隧道病害检测系统,以专用检测车为载体平台,集成线阵相机、光源、电源等硬件设施。首先,检测车沿着轨道电动匀速前进,并在垂直方向上作二维扫描,采集隧道表观高分辨率彩色影像数据;然后,基于拼接后的影像,判断、识别隧道裂缝、渗漏、剥落等病害信息。相对于传统手段,基于车载式线阵相机的检测系统可对隧道空间信息实现全覆盖快速采集,且便于数字化存档及病害发展态势分析。

关键词: 线阵相机, 隧道病害, 裂缝检测, 影像纠正

Abstract: As the operation time of subway tunnels increases,common diseases such as lining peeling,cracks,and water leakage are prone to occur due to complex factors such as geological conditions,natural disasters,construction quality,and surrounding environment.At present,the inspection method mainly relies on manual visual inspection,which is limited by various factors such as tunnel section,skylight time,and lighting conditions,making it difficult to improve tunnel inspection with high precision and efficiency.A subway tunnel disease detection system based on a vehicle-mounted multi-eye camera is designed.A special inspection vehicle is used as a carrier platform,and hardware facilities such as linear array cameras,light sources,and power supplies are integrated.The inspection vehicle is used to move along the track at a uniform speed and perform 2D scanning in the vertical direction to collect high-resolution color image data of the tunnel surface.Based on the spliced images,the information of tunnel cracks,leakage,peeling,and other diseases can be judged and identified.Compared with traditional methods,the detection system based on vehicle-mounted linear array cameras can achieve full coverage and rapid collection of tunnel space information,and is convenient for digital archiving and disease development trend analysis.

Key words: linear array camera, tunnel disease, crack detection, image correction

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