摘要
探地雷达(ground penetrating radar,GPR)是一种可用于道路内部异常目标识别的无损检测方法。城市地下空间的开发利用可以缓解城市发展中的诸多矛盾,但在工程施工过程中很可能会遇到不明地下障碍物。精确探测地下障碍物的空间位置,并得到其分布特征、完整性等信息,对后期采取针对性处理措施具有重要意义。复杂的城市环境会给探测工作带来大量干扰,增加资料处理和解释的难度。本文结合杭州某地下障碍物探测工程项目,通过GPR,采用针对性数字化处理技术,提取障碍物相应属性特征值,并利用相关属性与探测目标在物理性质、视觉效应、特征刻画等方面的内在关联性。结果显示:基于GPR的地下障碍物探测处理技术能够有效地突出目标特征,提高解释精度,同时降低工作风险。
Ground penetrating radar(GPR)is a non-destructive testing method that can be used for identifying abnormal targets inside roads.The development and utilization of urban underground space can alleviate many contradictions in urban development,but unknown underground obstacles may be encountered during the construction process.Accurately detecting the spatial location of underground obstacles and obtaining their distribution characteristics,integrity,and other information is of great significance for taking targeted treatment measures in the later stage.The complex urban environment can cause a lot of interference to the detection work,increasing the difficulty of data processing and interpretation.This article combines an underground obstacle detection project in Hangzhou,using GPR and targeted digital processing technology to extract corresponding attribute feature values of obstacles,and utilizing the inherent correlation between relevant attributes and detection targets in terms of physical properties,visual effects,feature characterization,et al.The results show that the underground obstacle detection processing technology based on GPR can effectively highlight target features and improve interpretation accuracy,simultaneously reducing work risks.
作者
钱俊锋
徐波
高继武
贺飞越
高顺喜
府伟娟
Qian Junfeng;Xu Bo;Gao Jiwu;He Feiyue;Gao Shunxi;Fu Weijuan(China Coal Zhejiang Surveying and Mapping Geo-information Co.,Ltd.,Hangzhou 310020,China;Zhejiang Geophysical Technology Application Research Institute Co.,Ltd.,Hangzhou 310005,China;Shanghai Geotechnical Engineering Detecting Center Co.,Ltd.,Shanghai 200436,China)
出处
《科技通报》
2024年第11期27-32,41,共7页
Bulletin of Science and Technology
基金
浙江省自然资源厅2024年度厅级自然资源科技项目(2024ZJDZ038)
浙江煤炭地质局科技发展专项资金项目(ZMD-2023-01)
浙江省公益研究计划项目(GF19D020002)。
关键词
地下障碍物
探地雷达
数据处理
属性提取
精准识别
underground obstacles
GPR
digital processing
attribute extraction
accurate recognition