成果報告書詳細
管理番号20150000000515
タイトル*平成26年度中間年報 SIP(戦略的イノベーション創造プログラム) インフラ維持管理・更新・マネジメント技術 点検・診断技術の実用化に向けた研究開発 学習型打音解析技術の研究開発
公開日2015/7/25
報告書年度2014 - 2014
委託先名独立行政法人産業技術総合研究所 首都高技術株式会社 東日本高速道路株式会社 株式会社テクニー
プロジェクト番号P14031
部署名ロボット・機械システム部
和文要約
英文要約Title: Development of an analysis technology for hammering-echo based on machine-learning techniques (FY2014-FY2016) FY2014 Annual Report

The objective of this project is to develop hammering test technology that will enable detection of flaws inside the structure depending little on skills of inspectors. To this goal, this project develop (1) analysis system that can estimate the structure condition under the surface by collecting pairs of hammering sound data and its level of flaw to learn their correlations (2) dedicated hammering apparatuses operating together with the analysis system (3) on-site display devices such as tablet computers which can visualize flaw maps for inspection results. These developments will realize not only improvement of inspection accuracy, but also reduction of labor costs and total man-hours including report writing works.
In this fiscal year, we developed a flaw detection engine, which learns hammering sound pattern in the healthy area of the inspection target, and outputs degree of anomaly as (relative) deviation from the learned normal pattern. Combination of feature values for hammering sound and the subspace method enabled the engine to tell the subtle difference of the sound.
We also started the development of two types of hammering apparatus, one is a hand-truck type, and the other is an apparatus dedicated for high place hammering. The hand-truck type aims to detect decomposed concrete (earth and sand) beneath asphalt pavement which causes pitfalls on roads. This fiscal year focused on the development of the hammering mechanism and sound sensing part by testing and modifying the prototype apparatuses.
As for the display device, we implemented a display program that can overlay a flaw map on the road displayed on the tablet PC utilizing the augmented reality (AR) technology. We also implemented two programs: one stores hammering sound data on the tablet and send it to a cloud server, and the other collects and stores the sound data with Meta data on the server.
A testing concrete block was designed and constructed, which simulates the haunch and balustrade parts of a concrete bridge deck and has simulated flaws under the surface. This block is to be used for testing of the developed prototypes. We also conducted hammering experiments with a testing concrete block which simulates the decomposed and deteriorated concrete under the asphalt pavement. Results of these experiments were effectively fed back to the development of the hammering apparatus.
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