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Wireless MEMS –Sensor Networks for Monitoring and Condition Assessment of Lifeline Systems Debasis Karmakar 1 and Chulsung Park 2 Faculty Advisor: Prof. Masanobu Shinozuka 1 and Prof. Pai Chou 2 1 Department of Civil and Environmental Engineering 2 Department of Electrical Engineering and Computer Science University of California, Irvine Sponsors: NSF/ Multidisciplinary Center for Earthquake Engineering Research Simulated Water Head Gradient Damage in P111 DuraNode and Eco Damage in P111 & P24 (a) Top View (b) Side View DuraNode Photos of DuraNode and Eco (a) On the finger (b) Side View (c) Top View Eco Specifications of MEMS Accelerometers Part Name Acce. Range (g) Axis Sensitivity (mV/g) Freq. (HZ) Size (mm) Power (mW) Price ($) SD1221(Silicon Designs) ±2 One 2000 0 ~ 400 9x9x3 50 130 H34C(Hitach Metals) ±3 Three 333 0 ~ 100 3.4x3.7x0.9 1 9.8 MMA7260Q (Freescale) ±1.5 Three 800 0 ~ 150 6x6x1.5 2 5.67 ADXL202(AnalogDevice) ±2 Two 375 0 ~ 6K 5x5x2 1.8 12.6 KXM52-1050(Kionix) ±2 Three 660 0 ~ 3K 5x5x1.8 5 100 400 50 Cost ($) @ 1000 200 ~ 300 10 ~ 20 Radio Range (m) WiFi / 2.4GHz Radio 2.4GHz Custom Radio Wireless Interface Fast Ethernet, Optical Serial, SPI Wired Interface 4000mAh Li-Ion 30mAh Li-Polymer Battery 11M 1M Max. Air Data Rate (bps) Max. 1000 Max. 100 Power Consumption (mW) Three SD1221, Gyroscope One H34C Sensor 140 x 80 x 20 13 x 11 x 8 Size (mm) DuraNode Eco 400 50 Cost ($) @ 1000 200 ~ 300 10 ~ 20 Radio Range (m) WiFi / 2.4GHz Radio 2.4GHz Custom Radio Wireless Interface Fast Ethernet, Optical Serial, SPI Wired Interface 4000mAh Li-Ion 30mAh Li-Polymer Battery 11M 1M Max. Air Data Rate (bps) Max. 1000 Max. 100 Power Consumption (mW) Three SD1221, Gyroscope One H34C Sensor 140 x 80 x 20 13 x 11 x 8 Size (mm) DuraNode Eco Comparison of Eco and DuraNode DuraNode DuraNode DuraNode DuraNode Water Pipe Network CAP Node B Node A Node D Node C Valve Water Input 62” 62” 62” 31” 9.5” 62” Diameter of the pipe: 1CAP Node B Node A Node D Node C Valve Water Input 62” 62” 62” 31” 9.5” 62” Diameter of the pipe: 1x x (a) Photo of Water Pipe Network (b) Dimension of Water Pipe Network and locations where 4 DuraNodes are installed 0.28g (b) 0.75g 0.28g (b) 0.75g Purpose : Demonstrate capability of a wireless MEMS sensor network to identify location and intensity of water pipeline network damage Demonstration : Deploy DuraNodes at four locations on the surface of laboratory-scale pipeline network as shown in Fig. 1. Record and visualize in real time on one laptop computer sharp temporary change in the acceleration at these four locations. Method : Use a sensor and communication network of DuraNodes or Eco developed at UCI equipped with MEMS acceleration sensors. Identify a point of damage in the network at which acceleration gradient is locally maximum Analytical simulation of hydraulic transient in a water supply pipeline network demonstrates that pipe damage can be found along pipe (link) between two adjacent joints (nodes) at which head change (gradient) is locally maximum Simple experiments show that sharp change in water head in a pipe can be detected by capturing equally sharp change in acceleration of pipe surface vibration DuraNode Valve Closed Valve Open Valve Shut Water Head vs Acceleration Conceptual frame work is developed for a GIS-Based SCADA system to provide a practical real-time damage identification tool for effective disaster response This is done by monitoring water pressure on-line at pervasively installed sensors within the system An index of water head gradient is introduced and used as a key parameter to locate damaged pipe Use flow rate information to achieve more accurate results Optimize number and locations of monitoring stations Apply to regional water utilities (e.g. Irvine Ranch Water District) as test-bed Detected acceleration Detected acceleration Open Shut Setup for Preliminary Experiment Acceleration Data of 4 DuraNodes under High Pressure Conclusions Future Study Preliminary Experiment (invasive) (non-invasive) Background

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Wireless MEMS –Sensor Networks for Monitoring and Condition Assessment of Lifeline SystemsDebasis Karmakar1 and Chulsung Park2

Faculty Advisor: Prof. Masanobu Shinozuka1 and Prof. Pai Chou2

1Department of Civil and Environmental Engineering 2Department of Electrical Engineering and Computer Science

University of California, IrvineSponsors: NSF/ Multidisciplinary Center for Earthquake Engineering Research

Simulated Water Head Gradient

Damage in P111

DuraNode and Eco

Damage in P111 & P24

(a) Top View (b) Side View

DuraNode

Photos of DuraNode and Eco

(a) On the finger (b) Side View (c) Top View

Eco

Specifications of MEMS Accelerometers

Part Name Acce. Range

(g)

Axis Sensitivity

(mV/g)

Freq.

(HZ)

Size

(mm)

Power

(mW)

Price

($)

SD1221(Silicon Designs) ±2 One 2000 0 ~ 400 9x9x3 50 130

H34C(Hitach Metals) ±3 Three 333 0 ~ 100 3.4x3.7x0.9 1 9.8

MMA7260Q (Freescale) ±1.5 Three 800 0 ~ 150 6x6x1.5 2 5.67

ADXL202(AnalogDevice) ±2 Two 375 0 ~ 6K 5x5x2 1.8 12.6

KXM52-1050(Kionix) ±2 Three 660 0 ~ 3K 5x5x1.8 5 100 40050Cost ($) @ 1000

200 ~ 30010 ~ 20 Radio Range (m)

WiFi / 2.4GHz Radio2.4GHz Custom RadioWireless Interface

Fast Ethernet, OpticalSerial, SPIWired Interface

4000mAh Li-Ion30mAh Li-PolymerBattery

11M1MMax. Air Data Rate (bps)

Max. 1000Max. 100Power Consumption (mW)

Three SD1221, GyroscopeOne H34CSensor

140 x 80 x 2013 x 11 x 8Size (mm)

DuraNodeEco

40050Cost ($) @ 1000

200 ~ 30010 ~ 20 Radio Range (m)

WiFi / 2.4GHz Radio2.4GHz Custom RadioWireless Interface

Fast Ethernet, OpticalSerial, SPIWired Interface

4000mAh Li-Ion30mAh Li-PolymerBattery

11M1MMax. Air Data Rate (bps)

Max. 1000Max. 100Power Consumption (mW)

Three SD1221, GyroscopeOne H34CSensor

140 x 80 x 2013 x 11 x 8Size (mm)

DuraNodeEco

Comparison of Eco and DuraNode

DuraNode

DuraNode

DuraNode

DuraNode

Water Pipe

Network

CAP

Node B

Node ANode D

Node C

Valve

Water Input

62”62”

62”

31”

9.5”

62”

Diameter of the pipe: 1”

CAP

Node B

Node ANode D

Node C

Valve

Water Input

62”62”

62”

31”

9.5”

62”

Diameter of the pipe: 1”

xx

(a) Photo of Water Pipe

Network

(b) Dimension of Water Pipe Network and locations where 4 DuraNodes are installed

0.28g

(b)

0.75g

0.28g

(b)

0.75g

Purpose : Demonstrate capability of a wireless MEMS sensor network to identify location and intensity of water pipeline network damage

Demonstration : Deploy DuraNodes at four locations on the surface of laboratory-scale pipeline network as shown in Fig. 1. Record and

visualize in real time on one laptop computer sharp temporary change in the acceleration at these four locations.

Method : Use a sensor and communication network of DuraNodes or Eco developed at UCI equipped with MEMS acceleration sensors.

Identify a point of damage in the network at which acceleration gradient is locally maximum

� Analytical simulation of hydraulic transient in a water supply pipeline network demonstrates that pipe damage can be found along pipe (link)

between two adjacent joints (nodes) at which head change (gradient) is locally maximum

� Simple experiments show that sharp change in water head in a pipe can be detected by capturing equally sharp change in acceleration of pipe

surface vibration

DuraNode

Valve Closed Valve Open Valve Shut

Water Head vs Acceleration

� Conceptual frame work is developed for a GIS-Based SCADA system to

provide a practical real-time damage identification tool for effective disaster

response

� This is done by monitoring water pressure on-line at pervasively installed

sensors within the system

� An index of water head gradient is introduced and used as a key parameter

to locate damaged pipe

� Use flow rate information to achieve more accurate results

� Optimize number and locations of monitoring stations

� Apply to regional water utilities (e.g. Irvine Ranch Water District) as

test-bed

Detected accelerationDetected acceleration

Open Shut

Setup for Preliminary Experiment Acceleration Data of 4 DuraNodes under High Pressure

Conclusions Future Study

Preliminary Experiment(invasive) (non-invasive)

Background