Sensor Service Grid As Rea-Time Monitoring Infrastructure and Its Applications in Asia
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Sensor Service Grid as Rea-Time Monitoring Infrastructure and its Applications in Asia 13 July 2009 University of Tokyo HONDA Kiyoshi, Asian Institute of Technology Thailand / Mie University, Japan Aadit Shrestha, Apichon Witayangkurn, Rassarin Chinnachodteeranun, Supasak Kulawonganunchai Asian Institute of Technology, Thailand Hiroshi SHIMAMURA elab experience Inc., Japan Contents Background Sensor Asia Sensor Service GRID ( SSG ) Applications 1 Ubiquitous Geo-Informatics for Modeling & Simulation RS: Regional-Global Sensor Network Web GIS for Data Sharing Super ComputerCompa ris on of Sate llite LAI an d Simula ted L AI 5 Model LAI_s at 4 LAI_s im 3 Calibration I A L 2 1 0 0 30 60 90 120 150 180 210 240 270 300 330 360 Model DOY Scenario Simulation Real Time Field Server Sensor Network Web Server Wi-Fi or Cellar-phone A/D Sensors Camera Prof. Masayuki HIRAFUJI, LED Lighting NARO, Japan Solar-cell 2 Field Server Network Real time Data Collection Sophisticated Interface 3 Field Sensor Network’s High Potential Low Cost Sensor Field Sensor Network Platform Field Server ( NARC, elab experience…) Meshnet Mobile Internet Mobile Phone (GSM, 3G) , Internet Satellite(IP-STAR) WiFi ( Hotspots, Green-WiFi in Bangkok ) New generation of mobile internet ( WiMax ) Applications Environmental Monitoring Agriculture Logistics Security Problems Setup/Configuration Cost Metadata Management Remote Management Connection to Real Application Operational System Sensor Asia Initiative 4 Sensor Asia Promote High Density Field Sensor Observation Real Application R&D Automatic Setup Manual Setup Sensor Plug&Play Know ledge on Netw ork, Database…. Obtain Real Time Field Data Globaly High Potential for various Application FS Specialist Farmer, Application Engineer, Computer / Network Engineer Kids interested in Environment Sensor Service GRID (SSG) Sensor Manufacturer Sensor Observation Service Sensor Service GRID 5 SOS: Sensor Observation Service OGC: Open Geo-Spatial Consortium Standards on SWE SOS ( Sensor Observation Service ) SPS ( Sensor Planning Service ) WNS ( Web Notification Service ) Obtain Sensor Information Standard Query and Answer O&M Documents ( xml ) Sensor Name, Location, Spec, Data….. Provide standard interface to sensor data Figure from http://52north.org Metadata( Information on Sensor ) , Sensor Data can be obtained by standard query to the system Improvement for practical deployment Field oriented Fill-up Gap from physical sensor setup to SOS system Security Public Service SOS Station Communicate via Standard Protocol Returns Standard O&M Document + = Linux Box Fieldserver SOS Implementation SOS Station 6 Sensor Service GRID (SSG) Simple Overview SOS Stations ( Field Sensor Node ) Visualization, Local Client SOS Slow, Unstable Network Firewall, NAT Global Client Visualization, SOS, On/Off-Line Node- Management Naming, Grouping, Monitoring, Archiving, Controlling, Publishing Control, Visualization, GML/KML, SOS User Management, Security Applicati ons Agriculture M anagement Application Development Disaster Information Dashboard Environment SSG Servers Energy Monitoring ( JAVA/API, Mashup, Flex, AIR.. ) SSG GIS & visualization interface SensorAsia provides a user-friendly GIS visualization interface Shows locations of Fieldservers on web-maps Shows the data from various kinds of sensors and weather- stations in easy-to-understand graphs and dials. 7 Global Access Global access Anytime Anywhere Reliable Stored Data on remote and central server Reduce maintenance cost (engineer can add/remove/edit configuration from anywhere) No Server system by users SOS Station Management Status & Grouping SOS Station Status Monitored: blue Not Monitor: gray SOS Station Group Owner can manage group by themselves Grouping by Company Location Type of system 8 Open System for Sensor Connection Open to Sensor Manufacturer Small Feeder Program Obtains Data from Physical Devices Data feeder template for Sensor manufacturer for quick connection Sensor Manufacturer can promote their sensor ; No need to take care of data archiving/publishing process Supports Multi Devices Field Server III, IV Davis, Lacrosse Decagon SenseAir I/F http, serial, DB Sensor Plug and Play Easy to add new sensor to SOS station Select a Sensor Model Edit Sensor Spec Add Sensor Select Sensor Model and Edit Configure Sensor Setting even Remotely The system automatically starts archiving, changes interface. No Programming Required -> Reduce Cost 9 Open System for Application Open to Solution Providers 3rd Party Application can be easily constructed on SSG Int’l Standard I/F – SOS Java API for SOS query and IDE Chronograph Layer for Data Filtering Applications send queries to SSG and obtain Answer ( Sensor Spec, Sensor Data ) Construct Purpose Oriented Application : Multi-Site Viewer, Early Warning, Simulation and etc. IDE and 3rd Party Application Selecting Sensor and Adobe AIR Application connecting to GUI 10 Spinach Field Monitoring using FS For Food Safety Sensor Asia To promote high density field sensor network for various issues Agriculture, Food Safety, Disaster, Environment… ALFAE ( Area-wide e-Laboratory for Food, Agriculture & Environment ) Pesticide Residue Shift spinach supply to Thailand SWFIT Co., Ltd. – University COOP Follow Euro GAP ( Good Agricultural Practice ) Deliver real time image to Consumer ( Univ. COOP’ Restaurants ) Promote products and contribute income generation Foster confidence among farmers/students on ICT Bridge between Japan and Thailand DIAS Data Integration and Analysis System Project, www.diasjp.org Spinach Field Location Myanmar Spinach Field LAOS Chaing Dao, Chaing Mai Chaing Mai 3 hours from Chaing Mai Elevation 1200m Thailand Bangkok 11 Setting 12 Davis d l Weather Yagi e Station i Anetenna F h c FS Engine a Camera n CO2 i Sensor p S t Omni Antenna WDS AP Davis Console a for School and r Research HUB e Center Linux Box v r e Soil Moisture S Temp. Conductivity d Leaf Wetness l Sensor Data Logger e i Soil Heat Flux Sensor F SSG Demo 13 WVIEW Webpage http://203.159.10.20/weather/ChiangMai/ WVIEW Webpage 14 ECH2O-TE 32cm WVIEEWC WHe2bOpa3g2cem Soil Moisture (mV) 15 Em50 Battery Monitor HeatFlux & Co2 (via FieldServer A/D) 16 Weather Station Data (Davis) Spinach Field Images Harv esting in mid of 2008/01 17 Embedding Soil Moisture Data to Your Webpage Glacier Monitoring in Himalaya Global Warming Melting Glacier -> Glacier Lakes GLOF ( Glacier Lake Outburst Flood ) High Potential to Create Debris Flow to Rural Community and Tourist Monitor Glacier Lakes using FS for Early Warning Imja Glacier Lake 18 Fieldserver near Imja lake (5000m) Fieldserver @Island Peak Ridge (5200m) WiFi Relay Station at Chukkung-Ri (5100m), relaying 23 Km to Namche Glacier Lake Monitoring, Imja Lake (5000m), Everest Region, Nepal Some Definitions Glacial Lake A glacial lake is a lake with origins in a melted glacier. (http://en.wikipedia.org/wiki/Glacial_lake) ©Samjwal Bajracharya ICIMOD 19 Imja Lake (Imja Tso), Ev erest Region Some Definitions Glacial Lake Outburst Flood (GLOF) GLOF is technically a sudden and often catastrophic flood that occurs when a lake contained by a glacier or a terminal moraine dam fails This can happen due to: Erosion, water pressure, avalanche, earthquake, or large portion of glacier falling and massively displacing water from the lake. 20 In Perspective … GLOF can cause massive damage to human settlements in lower areas Past records of huge loss of life and property around the world Need to identify critical glacial lakes and monitor them Develop early warning systems Imja Lake is classified as highly critical Study Area Imja Lake Non-existent in 1960 Started as a small pool of water Now covers more than 1 Km sq. Highest rate of retreat for a glacial lake in the Himalayas, 74m per year (between 2001 and 2006) (ICIMOD-UNEP Report, June 2007) 21 Travel Itinerary 17-28 Sept, 2007 Travel Itinerary 22 Implementation Outline Wireless Link from Namche Bazar seems to be the best option A plan has been received from NREN (Nepal Research and Education Network) A wireless link with 2 hops – Wireless Relay stations at 2 places Lake<->Chukkungri<->Kongde<->Namche Implementation Outline © Mahabir Pun, NREN 23 Implementation Outline © Mahabir Pun, NREN Implementation Outline Nepal Wireless Project, Annapurna Region http://www.nepalwireless.net 24 Draught Monitoring in Thailand Big damage to agriculture Damage Assessment and Prediction Modeling and Simulation Dynamic Water Balance Flux Observation Soil Moisture Access to Data through SOS Thai Research Fund Soil-Water-Atmosphere-Plant Model (SWAP) Adopted from Van Dam et al. (1997) Drawn by Teerayut Horanont (AIT) 25 SWAP Model Parameter Determination - Data Assimilation using RS and GA - SWAP Input Parameters sowing date, soil property, Water management, and etc. RS Observation SWAP Crop Grow th Model LAI, LAI, Ev apotranspiration Evapotranspiratio n I I 4.00 4.00 A A L L Fitting n n o 3.00 3.00 o i t i t a r a i r p 2.00 Assimilation by i 2.00 s p n s a n r t finding Optimized a o 1.00 r 1.00 t p o a v parameters p v E 0.00 a 0.00 0 45 90 135 180 225 270 315 360 By GA E 0 45 90 135 180 225 270 315 360 Day Of Year Day Of Year RS Model Impact of Draught Accumulative AnAnunanl Ruaailn fRalla iinn Ubon Ratchathani 20 00.0 19 90.8 1874.2 1790 .5 18 00.0 ) . 158 1.7 1622 .3 1581 .4 m The lowest rainfall 16 00.0 14 83.2 1484 .6 m ( 14 00.0 t 1273 .7 n u 12 00.0 o m 10 00.0 A l appeared in 2003 8 00.0 a Lowest f n 6 00.0 i a R 4 00.0 2 00.0 but the most 0.0 20 01 2002 2003 200 4 20 05 20 06 2007 2008 Avg.19 71- 2003 Year 200 0 serious impact on Averaged RYicee Yiliedld iSn tUabotnis Rtaitchsathani Province rice yield was 430 421 413 420 406 410 400 400 ) i a 400 R / 387 found in 2004 g 390 Lowe ( K 372 d l 380 e i Y 370 st 360 350 October Rainfall 340 2001 2002 2003 2004 2005 2006 2007 20Y0ea 4r 2003 43.6mm Yield SimulatSioimnu laUtend rdicee ry ieDld iufnfdeer e1n mto nDth rdyry Ssppelel ll Scenarios 2004 3.3mm 400 344.80 349.12 363.04 352.96 353.28 .