2022 Fiscal Year Final Research Report
Development of a monitoring method for predicting slope failure at a 1/10 cost of a traditional one
| Project/Area Number |
20H02243
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| Research Category |
Grant-in-Aid for Scientific Research (B)
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| Allocation Type | Single-year Grants |
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| Section | 一般 |
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| Review Section |
Basic Section 22030:Geotechnical engineering-related
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| Research Institution | Kobe University |
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Principal Investigator |
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| Project Period (FY) |
2020-04-01 – 2023-03-31
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| Keywords | モニタリング / プラスチック光ファイバー / 画像処理 |
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| Outline of Final Research Achievements |
We demonstrated the capability of performing diverse monitoring using several types of sensors utilizing plastic optical fibers. In particular, we developed inexpensive sensors for early detection of sediment-related disasters and created a new image processing application that can be used on mobile phones to process data captured by these sensors at as many locations as possible. With this application, we were able to reduce the hardware costs associated with conventional data processing by approximately 1/3000th, making it realistically possible to reduce the overall cost, including other expenses, for monitoring sediment-related disaster precursors to about 1/10th of the previous level.
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| Free Research Field |
防災工学
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| Academic Significance and Societal Importance of the Research Achievements |
従来のモニタリングにおいては，一つのセンサが捉えたデータを処理するためには，基本的には電気信号を処理するためのデータロガー（電子デバイス）が必要であった．そのため，センサの数が多くなると，それに応じて電子デバイスのコストが比例的に増大することを避けられなかった．それに対し，この研究で開発した携帯電話型アプリを使用すれば，2万円のアンドロイド携帯電話で900個のセンサからの情報を処理できるようになったため，これまでのモニタリングのコストを大幅に削減できることとなった．
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