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基于声纳、雷达和管道内窥仪的多手段管道淤积检测

袁明道, 刘金涛, 徐云乾, 刘建文, 张旭辉, 李思平

袁明道, 刘金涛, 徐云乾, 刘建文, 张旭辉, 李思平. 基于声纳、雷达和管道内窥仪的多手段管道淤积检测[J]. 无损检测, 2018, 40(10): 73-76. DOI: 10.11973/wsjc201810017
引用本文: 袁明道, 刘金涛, 徐云乾, 刘建文, 张旭辉, 李思平. 基于声纳、雷达和管道内窥仪的多手段管道淤积检测[J]. 无损检测, 2018, 40(10): 73-76. DOI: 10.11973/wsjc201810017
YUAN Mingdao, LIU Jintao, XU Yunqian, LIU Jianwen, ZHANG Xuhui, LI Siping. Pipeline Silting Detection Based on Sonar, Radar and Closed Circuit Television[J]. Nondestructive Testing, 2018, 40(10): 73-76. DOI: 10.11973/wsjc201810017
Citation: YUAN Mingdao, LIU Jintao, XU Yunqian, LIU Jianwen, ZHANG Xuhui, LI Siping. Pipeline Silting Detection Based on Sonar, Radar and Closed Circuit Television[J]. Nondestructive Testing, 2018, 40(10): 73-76. DOI: 10.11973/wsjc201810017

基于声纳、雷达和管道内窥仪的多手段管道淤积检测

基金项目: 

广东省海堤工程建设关键技术研究(2011-09)

详细信息
    作者简介:

    袁明道(1972-),教授级高级工程师,主要从事水利工程、岩土工程的设计,咨询及安全评估等方面的研究

    通讯作者:

    刘金涛, E-mail:1498882598@qq.com

  • 中图分类号: TG115.28;TV3;TV91

Pipeline Silting Detection Based on Sonar, Radar and Closed Circuit Television

  • 摘要: 管道淤积是造成城市内涝问题频发的重要因素。针对现阶段广泛采用的人工检测或单一仪器检测技术的不足,探讨了管道声纳检测系统(X4)、探地雷达(加拿大EKKO)和管道内窥仪(CCTV)联合检测技术的运用,并进行了实际管道淤积测试试验。试验结果表明:与传统单一检测方法相比,在无检修井且无法进行人工检测的排水管道淤积检测中,联合检测方法应用效果显著,具有无损、检测速度快以及结果可靠等优点。为今后水务管道淤积检测工程的技术选用提供了新的检测方法。
    Abstract: The accumulation of silt in pipelines is an important factor that causes frequent problems in urban areas. This article addresses the deficiencies of manual detection or single instrument detection technique that is widely used at the present stage, explores the combined use of pipeline sonar detection system (X4), ground penetrating radar (Canada EKKO) and pipe endoscopy (CCTV), and carries out the actual pipeline test. The experimental results of the pipeline deposition test show that the combined detection method has a significant effect as compared with the traditional single detection method while with no inspection wells and with difficulty in performing artificial detection of the accumulation of drainage in pipelines. It is of a nondestructive detection and has rapid detection speed and the advantages of reliable results. It will provide a new detection method for the selection of technology for water pipeline silt detection in the future.
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出版历程
  • 收稿日期:  2018-03-08
  • 刊出日期:  2018-10-09

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