Making Smart Rainwater House

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Making Smart Rainwater House
Toshiyuki Moriyama(1), Katsuhiro Morishita(2), Shinobu Izumi(3) and Koji Nishiyama(4)
(1) Fukuoka Institute of Technology, Fukuoka-city, Japan, moriyama@0disaster.net (2) Sojo University, Kumamoto-city, Japan, izumi@cis.sojo-u.ac.jp
(3) Kumamoto National College of Technology, Yatsushiro-city, Japan,morishita@kumamoto-nct.ac.jp(4)Assistant Professor, Kyushu University,Fukuoka-city, Japan,nisiyama@civil.kyushu-u.ac.jp
Flood occured in 24th Jul. 2009. Photo
by Labo. of Prof. Watanabe
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km
凡例
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雨水タンク
河道
樋井川流域
行政界
Distribution of small rainwater tanks
in Hii River Basin. Location data is served
by Labo. of Prof. Watanabe
ABSTRACT
A smart rainwater house (SRH) is build for individual residence. Resident of this SRH is Toshiyuki Moriyama which is one of author for the experiment of smart rainwater tanks.
Urbanization including development of residential area made a ash ood more frequently, and peak of discharge from urbanized watershed be faster and increase the amount of peak
discharge. The tanks can save the rainwater and monitored via sensor network to visualize the amount of rainwater storage and possible to control the pump to waste rainwater before
the heavy rainfall by prediction of weather using SOM with pattern recognition of meteorological eld.
Prof. Watanabe's Rainwater House(42t tank)
Garden in the Oginoura Gaeden Suburb.
110tons rain water tank is installed under the
deck(110t tank)
Web Display
Seeeduino Staker V3.0 with XBee for Sensor Node RasPi2 with Pico UPS and case for 3G Gateway
Damaged Buildings and Revee in Kumamoto
Earthquake.( April, 2015)
Beam and Pillar of SRH for Moriyama7s House Crosspieces and wedges through the Pillar for
Moriyama7s House
Making Earth Wall
Plaster on Earth Wall
Wood Burning Stove
5.6 tons rainwater tank
Diagnosis of exceeded 30mm/hour VS observed
maximum rainfall rate in North Kyushu District
(Moriyama et.al., 2016a:).
TP prediction: exceed 30mm, result: exceeded
FP prediction: exceed 30mm, result: not exceeded
FN prediction: not exceed 30mm, result: exceeded
TN prediction: not exceed 30mm, result: exceeded
Diagnosis of heavy rainfall occurrence using Self-Organizing Map (SOM). The
left gure shows heavy rainfall frequency >= 30mm/h in Kyushu, Japan in a warm
season (June to September) between 1979 and 2008 depicted on the SOM units
meaning the patterns of meteorological elds consisting of Precipitable Water (PW)
and wind at 850 hPa. Here, diagnosed results of meteorological elds on July 24,
2009 using SOM are shown in the right figures. The meteorological fields were
recognized as patterns (U813, U830) included in heavy rainfall groups (G21, G24).
From these results, we can diagnose that the meteorological elds on July 24, 2009
have large potential to cause heavy rainfall somewhere in Kyushu.
Example of water level of SRH with Elastic Search and
Kibana on AWS
Reference
Moriyama T., Morishita K., Izumi S., Nishiyama K., Hirose S., (2016a),
Smart Rainwater Tanks as a Rainguage Network and Dam for Flood
Control ,Proc. of 12th International Conference on Hydroinformatics
pp.243-246
Acknowledgements
This work was supported by the Japan Society
for the Promotion of Science (JSPS) KAKENHI
Grant Numbers 26282114 and Distributed
Rainwater Management for a Sustainable
Well-being Society, R&D area of Designing a
Sustainable Society through Intergenerational
Co-creation,Research Institute of Science
and Technology for Society, RISTEX, Japan
Science and Technology Agency, JST. Special
Thanks to the HiiCC and the Rainwater Society
Study Group members . Espacially, Yukkihiro
Shimatani, Kumiko Kakudo, Sampei Yamashita,
Ryoichi Watanabe, Hiroki Iyooka and Teruki
Hamada.
Block DIagram of SRT with LoRaWAN
LoRa Gateway (Upper)
and
Checking the Distance of LoRa Signal(Right)
Checking Data via LoRaWAN with SORACOM
Harveswting
Sensor Node with WDT
Water qunatity Meter for Sensor
Node
eTape for Rainwater Tank