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地下管线雷达探测图像处理及解释系统
引用本文:赵永辉,谢雄耀,王承. 地下管线雷达探测图像处理及解释系统[J]. 同济大学学报(自然科学版), 2005, 33(9): 1253-1258
作者姓名:赵永辉  谢雄耀  王承
作者单位:1. 同济大学,海洋与地球科学学院,上海,200092
2. 同济大学,地下建筑与工程系,上海,200092
3. 上海电缆输配电公司,上海,200072
基金项目:中国博士后科学基金资助项目,上海市电力公司重大科技攻关资助项目
摘    要:针对非开挖施工的特点及需要,开发了地下管线雷达探测图像处理解释软件系统;通过对若干关键问题的研究,实现了不同类型雷达数据的共享数据处理、基于人工神经网络技术的探地雷达剖面的智能解释、解释成果的三维可视化等功能,并可根据解释获得地下管线分布数据,系统自动设计非开挖钻进轨迹;现场验证及试用结果表明,该软件系统对地下管线的判别具有较高的可信度,可为非开挖施工提供准确的资料及指导非开挖施工.

关 键 词:非开挖施工  探地雷达  神经网络  智能解释  三维可视化
文章编号:0253-374X(2005)09-1253-06
收稿时间:2005-06-20
修稿时间:2005-06-20

Study on Ground Penetrating Radar Image Processing and Interpretation System
ZHAO Yong-hui,XIE Xiong-yao,WANG Cheng. Study on Ground Penetrating Radar Image Processing and Interpretation System[J]. Journal of Tongji University(Natural Science), 2005, 33(9): 1253-1258
Authors:ZHAO Yong-hui  XIE Xiong-yao  WANG Cheng
Affiliation:1. School of Ocean and Earth Science, Tongji University, Shanghai 200092, China; 2. Department of Geotechnical Engineering Tongji University,Shanghai 200092, China; 3. Shanghai Electronic Power Transportation Company, Shanghai 200072, China
Abstract:Locating buried pipelines using ground penetrating radar (GPR) is necessary to trenchless construction,and a system for image processing and intellectualized interpretation is proposed.The developed system comprises a data switch between different ground penetrating radar types,intellectualized interpretation tools based on backpropagation neural network,and 3D visualization model for buried pipelines,automatic design trenchless drilling track depending on pipelines distribution.The system was tested on model data and on-site data containing pipelines,and the results indicate that intellectualized and effective detection and 3D visualization of buried pipelines can be achieved,and the system can be a help to trenchless construction.
Keywords:trenchless construction  ground penetrating radar  neural network  intelligent interpretation  3D visualization
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