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Non-destructive Evaluation Sensor Data Processing and Fusion for Automated Inspection of Civil Infrastructure

机译:用于民用基础设施自动检查的无损评估传感器数据处理和融合

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摘要

Data processing is an integral part of civil infrastructure inspection and enablesthe process to be efficient and easily interpreted. Civil infrastructures include bridges,parking garages, airport runways, and other structures that must remain in propercondition to endure daily use and ensure human safety. This thesis focuses on process-ing and fusion techniques for non-destructive evaluation sensors used in civil infras-tructure inspection. A key aspect of the infrastructure inspection process is determin-ing the condition of the reinforced concrete of the structure. An accurate method forautomatic rebar detection in reinforced concrete structures is presented. A methodfor optimizing a classifier to detect cracks in pictures of concrete surfaces is also pre-sented. In addition, a method to fuse the results from the rebar detection and crackdetection methods is presented. The fusion method reduces the total inspection timeby only performing the inspection using the necessary sensors. Experimental resultsare provided to validate the proposed methods.
机译:数据处理是民用基础设施检查不可或缺的一部分,可以使流程高效且易于解释。民用基础设施包括桥梁,停车场,机场跑道和其他必须保持适当状况的结构,以承受日常使用并确保人身安全。本文主要研究用于民用基础设施检查的无损评估传感器的处理和融合技术。基础设施检查过程的一个关键方面是确定结构钢筋混凝土的状况。提出了一种钢筋混凝土结构中钢筋自动检测的准确方法。还提出了一种用于优化分类器以检测混凝土表面图片中的裂缝的方法。此外,提出了一种融合钢筋检测和裂纹检测方法结果的方法。融合方法通过仅使用必要的传感器执行检查来减少总检查时间。提供实验结果以验证所提出的方法。

著录项

  • 作者

    Gibb, Spencer P.;

  • 作者单位

    University of Nevada, Reno.;

  • 授予单位 University of Nevada, Reno.;
  • 学科 Computer science.
  • 学位 M.S.
  • 年度 2018
  • 页码 72 p.
  • 总页数 72
  • 原文格式 PDF
  • 正文语种 eng
  • 中图分类
  • 关键词

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