文章摘要
郭新蕾,郑飞飞,马朝猛,柴端伍,付辉,崔海涛.输水管道泄漏的探地雷达检测原理和现象机理分析[J].水利学报,2021,52(7):781-792
输水管道泄漏的探地雷达检测原理和现象机理分析
GPR-based leak detection technology in water pipelines: principle and phenomenon mechanism
投稿时间:2020-09-23  
DOI:10.13243/j.cnki.slxb.20200765
中文关键词: 输水管道  泄漏  探地雷达  图像识别  孔下回波
英文关键词: water pipeline  leakage  ground penetrating radar  image identification  under-hole anomalous reflection
基金项目:国家重点研发计划课题(2016YFC0400605);中国水科院科研专项(HY0145B802017)
作者单位
郭新蕾 中国水利水电科学研究院 流域水循环模拟与调控国家重点实验室, 北京 100038 
郑飞飞 浙江大学 建筑工程学院, 浙江 杭州 310058 
马朝猛 中国水利水电科学研究院 流域水循环模拟与调控国家重点实验室, 北京 100038 
柴端伍 中国水利水电科学研究院 流域水循环模拟与调控国家重点实验室, 北京 100038 
付辉 中国水利水电科学研究院 流域水循环模拟与调控国家重点实验室, 北京 100038 
崔海涛 大连中睿科技发展有限公司, 辽宁 大连 116002 
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中文摘要:
      基于探地雷达检测输水管道泄漏是近年发展起来的一种很有前景、实用性很高的无损检测技术,国内在这方面的研究处于起步阶段,尚缺乏仪器设备研发和对漏水的现象、机理与反馈图像的比对研究。本文搭建了输水管道漏损雷达检测试验平台,开展了输水钢管漏水试验和检测试验,对比研究了无泄漏、有泄漏以及泄漏后、泄漏时等工况下典型测线雷达回波图像的异同,并反演了漏水工况的泄漏范围。结果表明:当管道泄漏后,泄漏水引起管道周围土壤介电常数显著变化,湿沙状态下平行管道测线雷达回波下移,呈明显的“V”型,垂直方向测线的回波双曲线形态更加陡峭,斜率更大,该畸变规律有利于锁定大致泄漏范围。“箭形回波”和“孔下回波”是区分管道泄漏时和泄漏后的雷达回波关键典型特征,尤其较为清晰的孔下回波亮斑是正在发生小泄漏的典型回波图像特征,且具有规律性。对于管道不停水泄漏的检测,如能辨识出箭形回波和孔下回波,即可实现泄漏的快速定位。试验验证了利用探地雷达检测输水管道泄漏的有效性,并为漏损探地雷达检测设备和软件的研发提供支撑。
英文摘要:
      Ground penetrating radar (GPR)has recently evolved as a promising non-destructive leak detection method for water pipelines. It is at the initial stage in China, and there is still a lack of research and development of instruments and comparative study on the leakage phenomenon, mechanism and feedback of the images. An experimental tank for pipeline leakage detection was setup by using a newly developed GPR instrument. The iron pipe leak scenario was simulated and the laboratory tests which including intact, leaking and after leakage state were performed to extract features from the obtained GPR images. The results show that GPR identifies leaks through detecting water circulation from leaks causing voids or anomalies in pipe depth caused by changes of dielectric constant of surrounding soil. The reflection of the pipe move down as V type from the horizontal profiles and the slope of the hyperbola is obviously observed which is helpful for the approximate leak location. The arrow-type reflection and under-hole anomalous reflection is the key typical features to distinguish between leaking state and after leakage, especially the latter when the leakage is relatively larger. As long as these two anomalous reflection from the horizontal and vertical profiles are identified, the leaks can be detected. Characteristics of all cases are obtained and it can be the basis for further processing for the automatic classification of leaks and equipment development.
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