| Project/Area Number |
17KT0040
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| Research Category |
Grant-in-Aid for Scientific Research (B)
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| Allocation Type | Multi-year Fund |
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| Section | 特設分野 |
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| Research Field |
Intensification of Artifact Systems
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| Research Institution | The University of Electro-Communications |
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Principal Investigator |
Masuda Hiroshi 電気通信大学, 大学院情報理工学研究科, 教授 (40302757)
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| Project Period (FY) |
2017-07-18 – 2021-03-31
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| Project Status |
Completed (Fiscal Year 2020)
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| Budget Amount *help |
¥18,460,000 (Direct Cost: ¥14,200,000、Indirect Cost: ¥4,260,000)
Fiscal Year 2019: ¥4,160,000 (Direct Cost: ¥3,200,000、Indirect Cost: ¥960,000)
Fiscal Year 2018: ¥5,850,000 (Direct Cost: ¥4,500,000、Indirect Cost: ¥1,350,000)
Fiscal Year 2017: ¥8,450,000 (Direct Cost: ¥6,500,000、Indirect Cost: ¥1,950,000)
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| Keywords | 点群処理 / 設備の保全 / 形状処理 / ３次元計測 / レーザスキャナ / 工業設備の保全 / 人工物工学 / リモートセンシング |
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| Outline of Final Research Achievements |
We studied point-processing methods to support the maintenance work of industrial facilities and infrastructures using high-density, large-scale, high-accuracy point clouds acquired by a terrestrial laser scanner. For the detection of deterioration, we developed point cloud processing methods such as healthy surface estimation, multi-resolution differential detection, crack detection using reflection intensity, and precise plain detection. We also developed methods to precisely reconstruct 3D shapes of steel materials from point clouds in order to support material replacement work. In addition, for detecting unexpected deterioration by visual inspection, we developed a VR environment for large scale point clouds. Furthermore, we developed an automatic measurement robot equipped with a laser scanner to support frequent 3D measurements in large facilities.
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| Academic Significance and Societal Importance of the Research Achievements |
我が国では工業設備の老朽化が急速に進んでおり，その保全作業を効率化する計算機支援システムの実現は重要な課題である．本研究では，レーザスキャナによる３次元計測で得られた，高密度・大容量・高精度な点群から，大型構造物の劣化検出や部材形状算出を行うための点群処理手法の研究を行った．また，開発手法を大型構造物やインフラ整備に適用し，IT 支援による保全作業が可能になることを示した．また，予期せぬ劣化を見つけるには，目視作業も必要なため，大規模点群の立体視システムの開発も行った．さらに，３次元計測の労力を低減するため，移動ロボットによって自動計測システムを開発をした．
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