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.
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.
出处
《同济大学学报（自然科学版）》
EI
CAS
CSCD
北大核心
2005年第9期1253-1258,共6页
Journal of Tongji University:Natural Science
基金
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
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
trenchless construction
ground penetrating radar
neural network
intelligent interpretation
3D visualization
