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Environmental Study through NARL Synergy & CEPERC

Implementing GRID Tec. for flood simulation, monitoring, and prediction in Taiwan to enhance disaster response and ecological research. Utilizing Grid-based Forecast architecture and mobile devices for efficient data sharing and flood watching. Collaborative network linking research centers and offices for effective flood management.

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Environmental Study through NARL Synergy & CEPERC

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  1. Environmental Study through NARL Synergy & CEPERC Associate Researcher Jyh-Horng Wu

  2. Objective • Introduction • Real-time flood watching system • Mobile Real-time flood watching system

  3. Introduction

  4. Application of GRID Tec. for Natural Environment Application of GRID Tec. for Natural Environment Flood simulation Field monitoring Breakdown Notification Disaster Prediction Rescues Dispatch Ecological Research Agriculture Research Customize Grid Application Service User Account GIS Communication Image Recognize P2P Steam Remote Control Data Protection Job Submit Protocol/Working flow Resource Allocation Real-Time Data Sharing Computing Grid Data Grid Sensor Net Streaming Middleware Infrastructure Super computing Storage Center Network Backbone Sensors

  5. The most damage typhoons in Taiwan

  6. Apply Grid Tec. to Flood mitigation • Flood forecast • Require computing and data storage resources. • Decision maker • Group-to-Group Communication. • Sensor Net (Real-Time Data) • Un-limited number of users. • Integrate GIS • Indicate what and where you are watching • Integrate Mobile devices • Integrate cell phone systems for popular usage

  7. Flood Mitigation Grid: The Network Linking TWAREN to WRA offices, Research centers, River bureaus N. River Bureau Taipei Office Research Center Hazard MitigationResearch Center C. River Bureau Taichung Office Research Center TWAREN E. River Bureau S. River Bureau

  8. Flood Forecast System (Develop by NTU) • After typhoon warning announced by CWB (Central Weather Bureau), WRA (water resources agency) will active the Flood Forecast System Typhoon related data 1.Collect sensor data 2.Search similar history typhoon(Require computing resource) Typhoon & Rainfall Model Forecast 3. Flood forecast (Require computing resource)

  9. Problems of Flood forecast system • Huge amount of data I/O • No parallelism • Only can simulate a single watershed each time (20 min) • Taiwan has more than 20 rivers.

  10. Improve forecast efficiency • Large scale flood forecast • Integrate computing resource and storage of NCHC • Simulate all rivers concurrently • Record and monitor the progress of forecast • For debug/interrupt/pause during forecasting, if necessary • Computing resource usage report • Record the huge data of forecast result for further research

  11. Grid-based Forecast system architecture

  12. Flood Simulations

  13. Computing resource monitor

  14. Grid-Tec. Decision maker

  15. Decision meeting Chair of decision meeting, Director-General, Water Resources Agency; plus 12 River and Water Resource Bureaus during Typhoon Phoenix 鳳凰颱風期間員山仔分洪情況

  16. Real-time flood watching system • Install remote sensors (including videos) around Taiwan. • Monitor the conditions of rivers, water reservoirs and pump stations through internet. • High resolution and frame rate of video stream data. • Sharing the real-time sensor’s data with other people.

  17. Problems • Limitation of bandwidth. • Limitation of Computing resource. • Un-limited number of user clients. User User User User Bottle Neck Ex. ADSL 512k Source

  18. Solutions • Prevent user clients from getting data from data source directly. • Design a scalable middleware • Use “Multicasting” to reduce the loading of network bandwidth from data source. • Use “P2P” to distribute the loading of middleware.

  19. Implementation of Multicast User User User User Duplicate Data 100M or more Middleware One Connection 512K or less Source 1 Source 4 Source 2 Source 3

  20. P2P - share middleware’s loading User User User User User User User User Middleware Middleware Duplicate Data Source Source Source Source

  21. Real-Time Flood Monitoring System Camera Control Search GIS map layer control Abnormal detection Device Remote control Real-Time Video GIS map

  22. Auto-Recognize water level

  23. History Images The Recoded Images. The Date of this Image Bright/Contrast Select a Date Searching Recorded Images Play Recorded Images Save Recorded Images

  24. Provide real-time flood scene for premier Sensor net river monitoring system found flow over crest of levee in Den-Pau Creek Flood Sensor Monitoring System was officially used in Disaster Prevention & Response Center During Typhoon KALMAEGIin a decision meeting chaired by premier Liu Premier Liu 24 More than hundred times of log-in Sensor Net System during Typhoon KALMAEGI

  25. Mobile Real-time flood watching system Change resolution PTZ control Position adjust

  26. Work flow of mobile flood watch

  27. Flood images report

  28. Watch mobile data via flood watching system

  29. Flood report Database BT Device search Active CCD Connect BT GPS Middleware Location Capture Upload Upload Module GPS+ Cell Phone Internet Service Internet Monitor System

  30. Conclusions • The powerful cell phone has affect human life • Integrate cell phone, more people will join for disaster mitigation

  31. Thank you

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