NEWTON - Novel Sensing Network for Intelligent Monitoring

foamyflumpMobile - Wireless

Nov 21, 2013 (3 years and 6 months ago)

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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

1.
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).

2

System Overview

3

Sensor Features

SHM 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

4

Reader

Application Example

S1

S2

Data

Power

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

5

Proposed Design

Packet Structure

Reader (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)

6

Sensing Modes

SHM Sensor

Acoustic

Bulk Wave

Guided Wave

Surface Acoustic
Wave

Electromagnetic /
Magnetic

Pulsed Eddy
Current

Giant Magneto
-
Resistance

Flux Leakage

Hybrid

EMAT

7


Scope / Sensitivity Trade
-
off


Resolution


Ultra
-
low Power
O
peration


Minimise Complexity / Cost


Size / Profile


ADC Specification


Installation

Sensing Challenges

8

Design Flow

9

Range >10m

Power Budget

Implement
Sensing Payload
Prototype

Evaluate
Performance

Feature Analysis
(University of
Sheffield)

Is Technique
Viable?


Power Budget < 20uJ per measurement


Read range <25m


T
emperature 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)
ADC Reading


0mm defect
2mm defect
4mm defect
6mm defect
8mm defect
10mm defect
12mm defect
14mm defect
16mm defect
0
1
2
3
4
5
6
7
8
9
-5
0
5
10
15
20
Time (

s)
ADC Reading


2mm defect
4mm defect
6mm defect
8mm defect
10mm defect
12mm defect
14mm defect
16mm defect
10

-5
0
5
10
15
20
-20
-10
0
10
20
ADC Reading
Time (

s)
-5
0
5
10
15
20
-2
-1
0
1
2
Amplitude (arb)
Time (

s)
-5
0
5
10
15
20
0
0.5
1
1.5
2
2.5
3
3.5
Amplitude (V)
Time (

s)
Conclusion

NEWTON 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

11