成果報告書詳細
管理番号20150000000466
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 モニタリングシステムの現場実証 高解像度画像からのクラック自動抽出技術による空港の舗装巡回点検用モニタリングシステムの研究開発
公開日2015/7/18
報告書年度2014 - 2014
委託先名株式会社アルファ・プロダクト
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 : Monitoring system for airport runway inspection using the automatic crack recognition technology by high-definition pictures. (FY2014-FY2015) FY2014 Annual Report
1, Precise documentation of crack patterns and information acquired from them.
By documenting the width and length of crack patterns with a precision of 0.5mm, irregularities in the surface of runways can be detected and the spots determined where peeling is most likely. By applying this information on existing images of the runway surface and combining with information on the ground and starting and landing positions of the planes, the locations where irregularities are likely to be formed can be determined.
2, The principle for creating precise crack patterns.
One pixel of the sensor of a digital camera is set to 0.5 mm as a constraint. The photographing of the runway cracks occurs while upholding this constraint. By automatically analyzing the gathered images with a special software, crack patterns in units of length and width of 0.5mm are acquired. A software for automatically combining the individual images is in development.
3, Photography equipment usable by anyone
For making precise photography independent from operator skill and outside circumstances like nighttime or strong winds possible, a combination of a fixed frame and a quadrupedal base was developed. Through this method, the photographing range and distance can be kept consistent. Exposure and focus are set fully automatically and just by checking on a LCD monitor and using a remote switch, four stroboscope lights are lighted up simultaneously to enable photographing even in nighttime. Rechargeable batteries are used as power sources, omitting the need of power generators. During the photographing process, the quadrupedal base is moved along the markings of a special scale.
4, Conversion of the generated data into the CAD format and application on images of the runway.
The crack data generated from the images are converted into a CAD format through the use of a special software. With the GPS data on the reference point of the crack which is set during photographing, and the direction from the reference point to the endpoint of the crack, the position of the reference point and the crack can be determined in the runway data. By adjusting the scale and direction, the cracks can be directly inserted into the runway data. Through this procedure, the location of cracks on the whole runway can be determined.
5, Development status in the end of the year 2014
Points 2 and 3 above have been completed, point 4 is completed after testing using real data is done. Regarding point 1, the trial by gathering of runway data and comparison of the irregularities and ground is possible in next year.
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