基于探地雷达城市地下空间图像的探测识别研究

发布时间：2018-03-14 13:21

本文选题：探地雷达　切入点：无损检测　出处：《湖南大学》2014年硕士论文　论文类型：学位论文

【摘要】：我国高速的城市化进程使道路交通和地下管道处于超高负荷的运行状态中，大量基础设施濒临老化，地下的过度开发利用都使得城市地下空间存在众多隐伏病害，随时都有可能危及公众的生命财产安全。探地雷达检测技术以其高效、连续、无损、经济和操作简单方便等特征在准确探测此类病害中有独特的作用，在许多工程应用领域中能经常见到它的踪迹，是浅层探测的有效方法。而今越来越多的学者投入到探地雷达的研究当中，不断完善和发展该技术，使它拥有广阔的应用前景。从目前的应用效果来看，在图像的解释判别方面存在分歧，每个人的知识储备、对原理和方法的认识深度及积累的经验不同，对图像的解释判别也会有所差异。因此建立常见地下目标体的图像数据库显得尤为重要，正确的解释判别雷达图像，提高判读效率和精度，，实现自动判别解释一直是研究的热点。对城市地下空间缺陷、空洞及隐伏病害等进行探地雷达探测识别技术研究，以用于城市道路隐伏灾害全面系统地排查和科学防灾预测评估具有重要的现实意义和应用价值。本文围绕无开挖城市地下空间隐伏病害的雷达探测识别问题展开研究，用不同材质的目标体模拟地下隐伏病害，以土壤为填充介质进行试验，让目标体周围的环境更接近实际状况，以期获得更准确的图像。在不同埋深、不同间距和不同形状的工况下，对不同材质的目标体用不同频率天线进行探测，得到常见目标体的雷达图像，对其进行分析对比得到城市地下空间隐伏病害的雷达图像规律和特征，最终形成有效的雷达探测图谱。让我们能够详细准确的探查和监测地下空间隐伏病害，并能在其对道路交通造成不利影响前，及时采取科学的防治措施，把病害消弭于无形，对维护工程的长远质量安全能起到非常积极的作用，对提高图像判别解释的准确性有着非常重要的意义。
[Abstract]:With the rapid urbanization of our country, the road traffic and underground pipeline are in the state of ultra-high load, a large number of infrastructure is on the verge of aging, and the over-exploitation and utilization of underground make the city underground space have many hidden diseases. GPR detection technology has a unique role in accurate detection of such diseases with its characteristics of high efficiency, continuity, non-damage, economy and ease of operation. It is an effective method for shallow detection to be found in many engineering applications. Now more and more scholars have put into the research of ground penetrating radar to perfect and develop the technology and make it have a broad application prospect. From the current application results, there are differences in the interpretation and discrimination of images. Everyone has different knowledge reserves, different understanding of principles and methods, and accumulated experience. Therefore, it is very important to establish the image database of common underground objects. The correct interpretation and discrimination of radar images can improve the efficiency and accuracy of interpretation. The realization of automatic discriminant interpretation has always been a hot research topic. The research of ground penetrating radar detection and identification technology is carried out on the defects of urban underground space, voids and hidden diseases, etc. It is of great practical significance and practical value to apply it to the comprehensive and systematic investigation of hidden disasters on urban roads and to the scientific prediction and evaluation of disaster prevention. In this paper, the problem of radar detection and identification of latent diseases in excavated urban underground space is studied. The underground hidden diseases are simulated with different materials, and the soil is used as the filling medium to carry out the experiment. The environment around the target is closer to the actual situation, in order to obtain more accurate image. Under different conditions of buried depth, different spacing and different shape, the target body of different material is detected with different frequency antenna. The radar images of common objects are obtained, and the laws and characteristics of radar images of hidden diseases in urban underground space are obtained by analyzing and comparing them. Finally, an effective radar detection map will be formed. This will enable us to detect and monitor hidden diseases in underground space in detail and accurately, and to take scientific preventive measures in time before they adversely affect road traffic, so that the diseases can be eliminated in an invisible way. It can play a very positive role in maintaining the long-term quality and safety of engineering, and it is of great significance to improve the accuracy of image discriminant interpretation.
【学位授予单位】：湖南大学
【学位级别】：硕士
【学位授予年份】：2014
【分类号】：P631.3;TU91

【参考文献】