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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

Tsunami Warning System

MIDN 1/C Carlin Song

ES402 Systems Engineering Design

19 February 2008

tsunami phenomenon
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
life of a tsunami wave
Life of a Tsunami Wave
  • Generation
  • Amplification
  • Run-up
wave motion dynamic pressure
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
sensor selection and calibration
Sensor Selection and Calibration

Pressure range:

Experiment (0 – 1.3 psi)

Sensor (0 – 13 psi)

Sensor  MCP 601  Rabbit

Vout=-10+0.0049N

experimental set up
Experimental Set-up

Buffer Op-Amp

zigbee network set up
ZigBee Network Set-up
  • Wireless Personal Area Network (WPAN)
  • Meshing capability
  • Low cost
  • Low power requirement
  • Secure networking
concept of data analysis t 5s9
Concept of Data Analysis (T = 5s)

Pressure = Pstatic + Pdynamic

concept of data analysis t 5s10
Concept of Data Analysis (T = 5s)
  • Subtract static pressure from readings using application curve data
  • Significant range of dynamic pressure
decision parameter
Decision Parameter
  • Existence of dynamic pressure
  • Amplitude range for dynamic pressure
  • Existence of low freq, high amplitude signal
  • Abnormal spike in voltage readings
communications infrastructure
Communications Infrastructure
  • 3 in 4 tsunami alarms are false
  • Evacuation for false cases causes complacency
  • Reliable and timely communications system
  • Current efforts
online data transmission
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
data collection and analysis
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