摘要
为准确、全面地提取地铁隧道渗漏水,提出一种基于红外热成像的渗漏水提取方法。首先根据隧道渗水与周边环境之间存在的温度差异,提出改进的阈值分割方法对地铁隧道管壁的热红外图像进行分割,以提取出隧道管壁上的渗水区域。进一步地,基于渗水区域生成等温线,采用质心距离函数模型提取渗水类型、渗漏位置,渗漏缝隙走向信息。最后,以上海市地铁某线路区间隧道为例进行渗水提取实验,实验结果表明利用本文方法可准确地进行地铁隧道渗水区域地提取,同时可以合理判断渗水类型、渗水位置及渗水走向信息。
In order to extract metro tunnel seepage accurately and comprehensively based on infrared thermal imaging,a method is proposed for the extraction of seepage. In order to extract seepage on the tunnel wall,according to the temperature difference between seepage and surroundings,thermal infrared images are processed by the improved threshold segmentation to extract the leakage area. Furthermore,based on the isotherms of extracted seepage,the centroid distance function is adopt to determine the type of seepage,the location of leakage silt and the direction of crack. Finally,the experiment is carried out in a subway tunnel in Shanghai. The result support that this method can be used to extract the water seepage of the subway tunnel accurately. Simultaneously,the type of seepage,the location and direction of seepage can be judged reasonably.
作者
吴杭彬
于鹏飞
刘春
许正文
Wu Hangbin;Yu Pengfei;Liu Chun;Xu Zhengwen(College of Survey and Geo-Informatics,Tongji University,Shanghai 200092,China;Shanghai Geotechnical Investigations&Design Institute Co.Ltd,Shanghai 200438,China)
出处
《工程勘察》
2019年第2期44-49,61,共7页
Geotechnical Investigation & Surveying
基金
国家自然科学基金(41671451)
国家重点研发计划(2016YFB0502104)
关键词
隧道
红外热成像
渗水
形态特征
tunnel
infrared thermal imaging
seepage
morphological character
作者简介
吴杭彬(1983-),男(汉族),浙江东阳人,博士,副教授.
