A Multifunctional Sensor Network Node, Field Server and Its Seamless Integration with Legacy Observations

Transcription

1 A Multifunctional Sensor Network Node, Field Server and Its Seamless Integration with Legacy Observations S. Ninomiya, Takuji Kiura!T. Fukatsu, K. Tanaka and M. Hirafuji National Agriculture and Food Research Organization, Japan K. Honda Asian Institute of Technology, Thailand

2 !! Wi-Fi Mesh or Wi-Fi WDS network!! Web Server!! Sensors (up to 24ch)!! Camera (0.3-8M Pixels)!! LED Lighting!! Solar-cell!!Standard commercial model! 4 Sensors! Temperature! Humidity! Solar radiation! Soil temperature! 0.3 M pixel web camera! WDS Wireless LAN! US$2,000

3 Components of the Field Server 1.! Accurate measurement Assmann's aspiration psychrometer!! Air-temperature!! Humidity!! Solar radiation 2.! Cooling mechanism 3.! Modularized architecture!! Flexible extensibility 4.! Other sensors!! Gas (CO 2, NOx, SOx)!! Rain gauge!! Electric Capacitance!! Dust,..

4 Precision is as good as much as much more expensive standard weather robot

5 It provides you ambient networking environment Field or Forest house FTTH ADSL Greenhouse Mountain Amenity farm Fishing spot Organic farm Farmer's market Farm inn Camping site Farmer's Restaurant Filed Server Wi-Fi Mesh-network Free Wi-Fi hotspot

6 Several Long Term Test Beds! Target area is expanding from agricultural monitoring to environmental monitoring and security watch

7 1

8 Fan was broken by powdery sand in Ocher Plateau! Circuit was corroded by dew drops in Hebei dry land! Circuit was broken by gecko in a Hawaii site! The first trial in Himalaya was failed!

9 Imja Glacier Lake, near Mt. Everest, 5200 m

10 Field Server network secured by VPN Public Service Application Server Field servers in Private networks Storage Server VPN Router Meta-Agent VPN Agent Router Box Agents The Internet

11 Secured data collection by Agent Box!! Small PC with Field Server Agent, Data-Viewer, Web Server, Data-storage Automatically collect data locally when the Internet is not available or unstable,,-. "#$%&'($)*$)+

12 Other connectivity Satellite internet in Thailand CDMA (mobile phone) router in China

13 Data View and Download Service

14 Image-Viewer

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17 Multiple Image View Service More than 20 million images have been archived

18 Event Detection Service

19 MetBroker! Middleware to provide consistent access to heterogeneous weather databases! It covers 22,000 weather stations of 25 DBs! Legacy weather databases and sensor network nodes are seamlessly integrated

20 Seamless integration of Field Server with legacy databases through MetBroker SOAP Web Service Rice Growth Prediction Pesticide Prediction S O A P MetBroker Heterogeneous and Autonomous Weather DBs A-DB B-DB Farm Management Meta Data C-DB Field Server DB FS Data Archive

21 Spatial Access by MetBroker! Data request by longitude-latitude box 31.%/+&!"#$%"& '%()%"*+,"%& -*./0*11& -*2.*+.#/&

22 Spatial Integration of Sensor Network and Legacy Observation!Thai Field Servers!Legacy observation points

23 Horizontal integration of weather data Observed Today Growth period Normal year value Real time prediction "!Harvest plan "!Protection plan "!Fertilizer application plan "!Labor plan "!Shipping plan!horizontal Short integration Normal year in time series term!same prediction programs should be applicable to different weather data without any modifications Normal year prediction "!Optimal crop "!Prediction of potential Long term prediction Future Prediction "!Impact assessment "!Cropping map under global warming

24 Rice Blast Prediction

25 ! Sensor Plug & Play We are now developing..! Automatic Configuration! Establishing Data Path! Archiving! Data Publishing! OGC Standard SOS ( Sensor Observation Service )! FS + Linux BOX ( SOS )! SOS MetBroker/Interface Fieldserver + Linux Box = SOS Implementation SOS Station! New MetBroker based on Web Ontology! A proto type is ready! Follow WMO XML recommendation

26 Thank you for your attention!!! Field Server: FieldServer/ MetBroker: Commercial version available from elab Experience Ltd:

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28 Glocally Executable Crop Model/! Prediction of Rice Yields! Parameters for several rice varieties are available!"#

29 Rice Yield Prediction Service! Air temperature Solar radiation

30 !"#$%&'(")*"+#$,-./)0"

31 August 8, Miyazaki

32 September 4, Izumo

33 September 22 Koide

34 Wakkanai no yield October 15, Sapporo

35 Producible If the temperature raises up by 3 c

36 $%#&'(#)*(#'(+,-.).#/(#%-.#,0)12#/3#,.'%-.)#/4#'5'/1'61.#