熱画像・可視画像データ合成システムの開発(<小特集>高精度な新非破壊検査技術)

概要

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Diagnosis of the reinforced concrete structures by using infrared thermography method has been getting an increasing attention and applied to considerable fields. It has been reported that the infrared thermography method has a potential for detecting embedded defects such as delamination or honeycomb. However infrared thermography method has shortcomings that the inspection results are affected by undesirable thermal signals caused by surface condition such as dirt, stain or accetion. In this paper, an innovative data fusion system is proposed to prevent misdiagnosing by surface conditions. Thermal data by infrared thermography, visible data by digital camera, distance data by laser distant meter and position data by angle sensor are fused together, which enables us to take thermal and visible superimposed images and to get quantitative information of distance and area in the image. Several key issues for the development of the data fusion system are discussed: (1) Adjustment of optical alignment for the infra-red camera and the digital camera, (2) Parallax correction between the thermal and visible images, (3) Aberration for the lenses. Proposed system was applied to the inspection of delamination defects in concrete buildings. It was found that the delamination defects can be identified correctly by the proposed data fusion system.
一般社団法人日本機械学会の論文
2006-12-25