System Performance Assessments Radar-Based and Dual Sensor Systems - - PowerPoint PPT Presentation

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System Performance Assessments Radar-Based and Dual Sensor Systems - - PowerPoint PPT Presentation

Procedures for FOD Detection System Performance Assessments Radar-Based and Dual Sensor Systems Beth Woodworth Edwin Herricks University of Illinois Introduction I will be talking today about two performance assessment efforts. The


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SLIDE 1

Procedures for FOD Detection System Performance Assessments

Radar-Based and Dual Sensor Systems

Beth Woodworth Edwin Herricks University of Illinois

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SLIDE 2

Introduction

  • I will be talking today about two performance

assessment efforts.

  • The initial effort began in 2004 and was

completed with assessment of an installed system on a runway at PVD in 2008.

  • The second began in 2007 and was

completed in 2009.

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SLIDE 3

Sensors Evaluated

  • Qinetiq TarsierTM

– Radar based system – Installed at PVD

  • Xsight FODetectTM

– Hybrid system – Installed at BOS

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SLIDE 4

Testing of QinetiQ TarsierTM at PVD

  • 94Ghz radar
  • Detects FOD at ranges

up to 1 km

  • 2 sensor units placed on

towers scanned Runway 5/23 at PVD

  • Primary performance

criterion was a standard

  • 20dBm2 target at a

range of 1km

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SLIDE 5

Testing of FODetectTM at BOS

  • 74GHz radar and video camera

with image processing

  • Sensors replaced edge lights
  • Partial installation at BOS
  • Sensors covered 550 ft on

Runway 15R

  • 10 surface detection units (SDUs)

– 5 SDUs on each side of the runway

  • Each sensor covered

approximately 75ft x 200ft

  • Primary performance criterion

detection of 0.8 in (2 cm) object

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SLIDE 6

General Assessment Protocol

  • Testing scheduled over approximately 12-month

period to capture varied weather conditions – PVD – June 2007- March 2008 – BOS – June 2008 - March 2009

  • Targets selected to challenge each of the systems

and included

  • Different sizes
  • Different shapes
  • Different materials
  • Different hazard potentials
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SLIDE 7

Detecting a Target

  • Radar

– Reflectivity – energy returned to sensor – “Complex Scatterers” – most FOD has a variety of edges which have different likelihoods of being detected.

  • Electro-Optical

– Background – Item surface conditions

  • Color, Flat/Glossy

– Illumination –

  • Lighting and shadow
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SLIDE 8

Overall Goals of Testing

  • Calibration – Standard Target Testing

– Uses items of known detection characteristics – Provides information on system reliability and robustness

  • Performance

– Group of FOD items with different hazard potentials – Repeatedly placed at known locations in defined positions

  • Blind

– Random placement and actual and simulated FOD items – This test most represents typical detection needs at an airport – Challenges system to detect a diverse and unpredictable set of items.

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SLIDE 9

General Methods

  • Safety –

– Because assessments were conducted at

  • perational airports, safety considerations were

paramount. – Personnel were trained and briefed regularly by airport operations personnel. – Although runways were closed, safety areas were identified and drills held so that all assessment personnel were aware of their environment. – Rigorous accounting was made of all experimental FOD taken on the airport.

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SLIDE 10

General Methods

  • FOD log – Over 1000 items placed and retrieved!

– all items were written in a log before proceeding to the runway – after return and often during the testing the log was checked again the items in the box

  • FOD box – items put in boxes with dividers in order to be easily and

quickly counted

  • Marking

– Used for calibration and performance testing – Small, nearly invisible UV marks were placed on the runway – UV lights used to find markings – Locations were surveyed using a differential GPS accurate to millimeters in the X/Y plane – Surveyed locations were compared with locations provided for each detection by each technology

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SLIDE 11

General Methods

  • Radar

– Does NOT depend on illumination – All assessment campaigns at PVD were performed during normal 12 pm to 5 am runway closures

  • Electro-Optical

– Did depend on illumination. – Testing at BOS was on Runway 15R which saw limited use allowing testing at different times. – Tests were performed at BOS during the day, at night, and at dawn and dusk to capture a range of lighting conditions.

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SLIDE 12

Calibration – Standard Target Testing

  • GOAL = confirm detection performance using objects with

defined detection characteristics

  • Targets selected based on technology

– Metal cylinders 3in X 4.5in 1.25in with a nominal reflectivity of 0dBm2 (Large) – Metal cylinders 2in X 2.5in with a nominal reflectivity of - 10dBm2 (Medium) – Metal cylinders 1.5in x 1.25in with a nominal reflectivity of

  • 20dBm2 (Small)

– Metal 2in spheres – Colored PVC cylinders 1.5in X 1.25in colored grey, white and black

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SLIDE 13

Metal cylinders 3in X 4.5in 1.25in 0dBm2 (Large) Metal cylinders 2in X 2.5in

  • 10dBm2

(Medium) Metal cylinders 1.5in x 1.25in

  • 20dBm2

(Small) Metal spheres 2in Colored PVC cylinders 1.5in X 1.25in

Calibration Targets

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Calibration- Standard Target Testing for TarsierTM

  • 4 types of metal targets
  • 6 transects along full length
  • f the runway
  • Transects 2, 3, and 4 within

1km of both radars

  • Transects 1, 5, and 6 used

for system assessments

Transec t Distance from (m) Distance from (ft) Distance from S Radar 2 (m) Distance from S Radar 2 (ft) 1 1675 5494 555 1821 2 1268 4160 220 723 3 864 2834 356 1168 4 502 1647 708 2322 5 204 668 1140 3738 6 443 1454 1547 5075

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SLIDE 15

Calibration for FODetectTM

  • Metal cylinders 1.5in x 1.25in

tested the radar portion of the sensor

  • 3 colors of PVC cylinders (white,

grey, black) and small metal cylinder

  • Targets placed at varying

distances from sensor in a test rectangle (approx. 150ft x 70ft)

  • Targets placed to test the system

and a single sensor

  • Standard target array included 1

metal, 1 white, 1 grey, and 1 black cylinder

  • Groups of targets oriented

differently

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SLIDE 16

Performance Testing

  • Items not selected based on sensor type as

with calibration testing

  • Used examples of common items found at

airports

  • Selection of items based on frequency of
  • ccurrence and hazard potential
  • Calibration items also used during

performance testing

  • Items placed in know positions at specific

angles

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Table of Standard FOD Items Used in Performance Assessments

FOD Itema Expected Hazard Frequency of Occurrence

  • 1. Small Piece of Concrete

High Common

  • 2. Standard Lug Nut From

Service Vehicle High Common

  • 3. Roller Bearing

High Common

  • 4. Chunk of Rubber

Low Common

  • 5. Mechanics Wrench

High Common

  • 6. Fuel Cap

High Common

  • 7. Cotter Key

Moderate Common

  • 8. Plastic Bottle/Bottle Cap

Low Common

  • 9. Strapping Material

Moderate Common

  • 10. Expansion Joint

Material Low Common

  • 11. Construction Material–

Galvanized Nails or Sheetrock Screws Moderate Based on Construction Activity

  • 12. Runway Infrastructure

Part–Piece of Runway Light or Signage High Uncommon

  • 13. Small Fasteners

Moderate Common

  • 14. Metal Strip

High Uncommon

  • 15. Fiberglass Door

Moderate Common

  • 16. Asphalt Chunk

High Common

This table contains the items selected by CEAT

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SLIDE 18

Performance Testing Methods at PVD

  • 6 arrays related to standard

target transects

  • In array 5x5 grid established,

approximately 25ft between items

  • 23 targets total per array (no

items set on runway lights)

  • Position of items varied between

campaigns (random selection of location achieved in test planning); items in the same position in all arrays in any single campaign.

  • All items rotated 45 degrees

after each scan to cover 8 cardinal points of the compass

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SLIDE 19
  • Line established midway

between the centerline and the edge line

  • 5 identical performance

items placed at equal distances on this line across the length of test rectangle

  • Items rotated so detections

at 0, 45, and 90 degrees relative center line recorded

Performance Testing Methods at BOS

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SLIDE 20

Blind Testing

  • Used actual FOD items

collected from runways

  • Range of sizes, materials,

colors

  • Over 100 items in collection
  • 30 items randomly selected

for each campaign

  • Placement locations chosen

at random from a grid

  • Items dropped or tossed so

the orientation was random

  • Up to 10 items used at one

time.

Blind Testing Grid at PVD

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SLIDE 21

Typical Grouping of FOD Blind Items Blind Testing Grid of Locations at BOS

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SLIDE 22

Inclement Weather Testing

  • Objective to evaluate sensor performance in

variable weather conditions

  • Opportunistic based on long term plan, but

scheduled adjusted to coincide with storm events.

  • Access to the runways in snow was impossible

so assessments performed just after snow emergency conditions

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SLIDE 23

Inclement Weather Assessment - Rain

  • PVD - TarsierTM radar system
  • October 2007
  • Calibration targets were deployed as a rain squall moved

across the runway

  • BOS – FODetectTM hybrid system
  • March 2008
  • One light rain event at dusk
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SLIDE 24

Inclement Weather Assessment - Snow

  • PVD – TarsierTM radar system

– Assessments after 2 snow events

  • Jan. 24, 2008 – flurries but no accumulation
  • Feb. 12, 2008 – snow changing to sleet

– Time for placement and retrieval were limited due to needs to clear the runway

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SLIDE 25

Inclement Weather Assessment - Snow

  • BOS – FODetectTM hybrid system

– Winter Storm Jan. 7-12 –

  • Weather Conditions:

– rain, freezing rain, freezing drizzle, mist, ice pellets, fog, snow – Totaling 2.1in of wet precipitation

  • Testing took place on Jan 8, 9, and 13, 2009

– Testing on Jan. 29 and 30 after snow events as well

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SLIDE 26

Summary

  • 2 systems – radar and hybrid
  • Assessments performed at PVD and BOS
  • Assessments took place in variable weather conditions
  • General protocol – calibration, performance, blind –

consistent for all FOD detection system types

  • Actual procedures were adapted to each senor and adjusted

for runway availability

  • Targets were selected based on

– the performance claims of manufacturers – related to sensor characteristics and performance parameters