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Tsunami Warning System

Tsunami Warning System. MIDN 1/C Carlin Song ES402 Systems Engineering Design 19 February 2008. Tsunami Phenomenon. large-scale, short-duration vertical displacement of water column. generated by subduction earthquakes principal source regions are earthquake zones in the Pacific Ocean.

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Tsunami Warning System

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  1. Tsunami Warning System MIDN 1/C Carlin Song ES402 Systems Engineering Design 19 February 2008

  2. Tsunami Phenomenon • large-scale, short-duration vertical displacement of water column. • generated by subduction earthquakes • principal source regions are earthquake zones in the Pacific Ocean

  3. Life of a Tsunami Wave • Generation • Amplification • Run-up

  4. Wave Motion & Dynamic Pressure • wave motion creates dynamic pressure which is measurable up to the wave base (L/2) • Shallow water wave characteristics of tsunami wave allows detection of dynamic pressure in deep ocean

  5. Sensor Selection and Calibration Pressure range: Experiment (0 – 1.3 psi) Sensor (0 – 13 psi) Sensor  MCP 601  Rabbit Vout=-10+0.0049N

  6. Experimental Set-up Buffer Op-Amp

  7. ZigBee Network Set-up • Wireless Personal Area Network (WPAN) • Meshing capability • Low cost • Low power requirement • Secure networking

  8. Concept of Data Analysis (T = 5s)

  9. Concept of Data Analysis (T = 5s) Pressure = Pstatic + Pdynamic

  10. Concept of Data Analysis (T = 5s) • Subtract static pressure from readings using application curve data • Significant range of dynamic pressure

  11. Decision Parameter • Existence of dynamic pressure • Amplitude range for dynamic pressure • Existence of low freq, high amplitude signal • Abnormal spike in voltage readings

  12. Communications Infrastructure • 3 in 4 tsunami alarms are false • Evacuation for false cases causes complacency • Reliable and timely communications system • Current efforts

  13. Online Data Transmission • Dynamic C program • Digitize buffered output voltage from sensor suite using Rabbit ADC • Records time corresponding to voltage data collection • Arranges voltage and time data as an ASCII string • Output ASCII string to Serial Port B • Zigbee attached to Serial Port B for wireless transmission

  14. Data Collection and Analysis • Data collection criteria • Maximize time resolution in order to best detail wave • MATLAB code • Open ASCII string received at remote laptop via wireless transmission • Change digital voltage data to analog values • Perform data analysis to find dynamic pressure of passing wave • Determine if recorded dynamic pressure is above threshold pressure

  15. Tsunami Warning System

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