成果報告書詳細
管理番号20160000000470
タイトル*平成27年度中間年報 インフラ維持管理・更新等の社会課題対応システム開発プロジェクト イメージング技術を用いたインフラ状態モニタリングシステム開発 道路構造物ひび割れモニタリングシステムの研究開発
公開日2016/7/7
報告書年度2015 - 2015
委託先名首都高技術株式会社 国立大学法人東北大学 国立研究開発法人産業技術総合研究所
プロジェクト番号P14011
部署名ロボット・AI部
和文要約
英文要約Title: Research and Development of Road Structure Crack Monitoring System (FY2014-FY2016) FY2015 Annual Report

Purpose:

Construction of road infrastructures peaked about 50 years ago in Japan, and they are currently decaying. Such infrastructures are increasing rapidly. In particular, degradation due to stress and salt is severe.
For maintenance, quantitative evaluation of the degradation is necessary. Conventional inspection method deeply depends on inspection engineers with specially trained skills. Although many crack detection technologies have been developed, their accuracy does not reach practical levels.
The budget and number of technicians are limited and still insufficient. The most important issue today is to develop reliable methods for managing infrastructure economically and efficiently. The demand for such development is significantly growing.
In this project, we are developing technologies for high-precision crack detection and management platform of inspection data. The purpose of this project is to establish inspection systems and inspection management methods by applying these technologies.

Progress:

(1) Development of automatic crack detection technology
In this year, the crack detection algorithm and classification method were refined. We applied it to an experimental automatic crack detection system. The detection accuracy was 79.1%.

(2) Collection and simulated cracking data
We collected about 3800 images of slabs and piers of bridges and created a dataset which was collected crack images and traced the crack shape. Currently, the data set contains 1000 samples.

(3) Development of the panoramic image generation technology
The method of generating a panoramic image for the inspection of the concrete was developed. This method works effectively even if the concrete surface only has little individuality.

(4) Development of aging monitoring technology
The method of automatically trace of the detailed shape of the cracks was developed. This method generates a crack shape using an original image and the result of our crack detection.

(5) Development and performance evaluation of the monitoring system
We have implemented a monitoring system on cloud platform. In addition, the monitoring system that adds the automatic crack detection has improved to operate at high speed. As a result, crack detection speed became 30 seconds / image from 12 minutes / image.

(6) Formulation and evaluation of inspection workflow using the monitoring system
In order to develop a system that be able to apply to various situations, we were conducted hearings on the total of 15 companies such as local governments and design consultants. The draft of inspection workflow was organized based on these interviews data.
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