newton - novel sensing network for intelligent monitoring 09/07/2013
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NEWTON - Novel Sensing Network for Intelligent Monitoring 09/07/2013. Dr. Dave Graham Mr. Jeff Neasham Dr. Zhiguo Ding Prof. Gui Yun Tian. NEWTON Objectives. - PowerPoint PPT PresentationTRANSCRIPT
NEWTON - Novel Sensing Network for Intelligent Monitoring 09/07/2013
Dr. Dave Graham
Mr. Jeff Neasham
Dr. Zhiguo Ding
Prof. Gui Yun Tian
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NEWTON Objectives1. 4 year project - Bridging the gap between NDE
and SHM, using a novel combination of passive wireless technology with PEC and acoustic wave sensing (Newcastle University).
2. Applying non-linear system identification and model-based signal processing to assess the location, size, and microstructure of defects in structures (University of Sheffield).
3. Building cloud-based diagnostic software architectures, and data management for the software implementation of developed technologies (University of York).
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System Overview
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Sensor FeaturesSHM Sensor
Permanent Install
Passive
Low Power
Wireless Power Delivery
Multiple Sensing Modalities
Bulk Acoustic Wave
Surface Acoustic Wave
Pulsed Eddy Current etc.
Large Read Range
Robust Backscatter Communications
Error Checking
Optimal Antenna
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Reader
Application Example
S1S2
Data
Pow
er
Data Management
(York)
Feature Extraction(Sheffield)
10m+range
• Valuable infrastructure.• Sensors at critical locations.• Completely passive sensors.• Very large read range!• Efficient, cost effective
measurements.
Wifi, GPRS, SD card
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Proposed Design
Packet StructureReader (Front End)
High frequency (868MHz) Power and Communications
Tag
Sensing
Low Power Microcontroller Comms /
Power Antenna
Power Harvesting
Reader Antenna
Power Supply
RF Signal Source
Processing / Demodulation
Error Checking
Waveform Generation
ADC
Modulation
MUT
Digital Interface (SPI)ID (4Bytes) Data (<20Bytes)
Drive Circuit
Temperature Sensor
MUT
Tag
Reader
Data Management
10m+
?
Data Management
(York)
Feature Extraction (Sheffield)
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Sensing Modes
SHM Sensor
Acoustic
Bulk Wave
Guided Wave
Surface Acoustic Wave
Electromagnetic / Magnetic
Pulsed Eddy Current
Giant Magneto-Resistance
Flux Leakage
Hybrid
EMAT
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• Scope / Sensitivity Trade-off• Resolution• Ultra-low Power Operation• Minimise Complexity / Cost• Size / Profile• ADC Specification• Installation
Sensing Challenges
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Design Flow
Range >10m Power BudgetImplement
Sensing Payload Prototype
Evaluate Performance
Feature Analysis (University of
Sheffield)
Is Technique Viable?
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• Power Budget < 20uJ per measurement• Read range <25m• Temperature sensing for drift compensation • 32-bit ID for position information• 16 bit CRC for error checking• Transmission @ 38.4k baud• 2MHz sampling with today’s hardware• Both EM and acoustic techniques are viable
within these constraints
What is Achievable?0 1 2 3 4 5 6 7 8 9
0
50
100
150
200
250
Time (s)
AD
C R
eadi
ng
0mm defect2mm defect4mm defect6mm defect8mm defect10mm defect12mm defect14mm defect16mm defect
0 1 2 3 4 5 6 7 8 9-5
0
5
10
15
20
Time (s)
AD
C R
eadi
ng
2mm defect4mm defect6mm defect8mm defect10mm defect12mm defect14mm defect16mm defect
-5 0 5 10 15 20-20
-10
0
10
20
AD
C R
eadi
ng
Time (s)
-5 0 5 10 15 20-2
-1
0
1
2
Am
plitu
de (a
rb)
Time (s)
-5 0 5 10 15 200
0.5
1
1.5
2
2.5
3
3.5
Am
plitu
de (V
)
Time (s)
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ConclusionNEWTON Project• Proposed sensors have a lot to offer SHM in
industry. • Potential for long range, wireless measurement• Completely passive, very long lifetime• Combine acoustic measurements and EM
measurements for better structure coverage• Challenge is achieving high sensitivity, high
resolution within the power, size and cost constraints