| Project/Area Number |
26282114
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| Research Category |
Grant-in-Aid for Scientific Research (B)
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| Allocation Type | Partial Multi-year Fund |
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| Section | 一般 |
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| Research Field |
Natural disaster / Disaster prevention science
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| Research Institution | Fukuoka Institute of Technology |
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Principal Investigator |
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| Co-Investigator(Kenkyū-buntansha) |
武藏 泰雄 熊本大学, 学内共同利用施設等, 教授 (10271131)
西山 浩司 九州大学, 工学(系)研究科(研究院), 助教 (20264070)
渡辺 亮一 福岡大学, 工学部, 教授 (50299541)
和泉 信生 崇城大学, 情報学部, 助教 (60553584)
森下 功啓 熊本高等専門学校, その他部局等, 助教 (70735266)
山口 弘誠 京都大学, 防災研究所, 助教 (90551383)
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| Co-Investigator(Renkei-kenkyūsha) |
NAKAKITA Eiichi 京都大学, 防災研究所, 教授 (70183506)
SHIMATANI Yukihiro 九州大学, 工学研究院, 教授 (40380571)
KAWAMURA Akira 首都大学東京, 都市環境科学研究科, 教授 (10177735)
USHIYAMA Motoyuki 静岡大学, 防災総合センター, 教授 (80324705)
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| Research Collaborator |
MATSUO Norichika (株)大建, 代表取締役
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| Project Period (FY) |
2014-04-01 – 2017-03-31
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| Project Status |
Completed (Fiscal Year 2016)
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| Budget Amount *help |
¥16,380,000 (Direct Cost: ¥12,600,000、Indirect Cost: ¥3,780,000)
Fiscal Year 2016: ¥3,250,000 (Direct Cost: ¥2,500,000、Indirect Cost: ¥750,000)
Fiscal Year 2015: ¥5,070,000 (Direct Cost: ¥3,900,000、Indirect Cost: ¥1,170,000)
Fiscal Year 2014: ¥8,060,000 (Direct Cost: ¥6,200,000、Indirect Cost: ¥1,860,000)
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| Keywords | 雨水タンク / 分散型多目的市民ダム / センサーネットワーク / LoRaWAN / 雨水グリッド / 都市の水循環 / 都市洪水の抑止 / 大規模震災時の水問題 / スマート雨水タンク / 流域治水 / 各戸貯留 / 都市型水害 / 豪雨診断 / IoT / SOM / 機械学習 / 雨水 / ビッグデータ |
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| Outline of Final Research Achievements |
In order to make the distributed multipurpose civil dam smart and make it a rainwater grid for securing water resources and flood control as follows:
(1) the rainwater tank as the rainfall measuring device is verified and it can be used as a rain gauge but rainwater It was shown that it is better not to use pressure sensor as water level gauge when tank is crushed stuffing system. (2) As visualization of rainwater by the disaster prevention cloud, stabilization of sensor nodes and gateways were made. (3) The heavy rainfall diagnosis was performed using SOM, but the prediction accuracy was not so high. As a security improvement, we attempted a method such as using OpenVPN. (4) We verified LoRaWAN in order to stabilize the radio communication and got good results.
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