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FP7-SEC-2007- 1 1 SGL for USaR “SGL for USaR” EC FP7 Project Milt Statheropoulos Project Coordinator International Symposium on Crisis Management Pandora Project 29.03.2012, London, UK http://www.sgl-eu.org/

FP7-SEC-2007-1 1 SGL for USaR “SGL for USaR” EC FP7 Project Milt Statheropoulos Project Coordinator International Symposium on Crisis Management Pandora

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FP7-SEC-2007-1 1SGL for USaR

“SGL for USaR” EC FP7 Project

Milt Statheropoulos Project Coordinator

International Symposium on Crisis ManagementPandora Project

29.03.2012, London, UK

http://www.sgl-eu.org/

FP7-SEC-2007-1 2SGL for USaR

OUTLINE

“SGL for USaR” in brief Main objectives The science and technology in the project Experimental work for establishing human signatures in the

project Tangible deliverables

FP7-SEC-2007-1

Partners 21

Member states

11

WPs 8

Tasks 36

Deliverables 33

Prototypes to be delivered

4

Duration 4 years

Enterprises

Research groups

End-users

Budget 6.217.478 €

10

9

3

SGL for USaR in brief

SGL for USaR

FP7-SEC-2007-1 4SGL for USaR

Main Objectives

• Solve critical problems following large scale structural collapses in urban locations

• Develop technology for early location of entrapped people in collapsed buildings

• The strategic objective of “SGL for USaR” is to build the critical mass of researchers, enterprises and end users and lead the R&D in technology of USaR

Main tools: • Experimental work for establishing human signatures• Devices development and field validation• Algorithms for data processing integration and software

development

FP7-SEC-2007-1 5SGL for USaR

The science and technology

The scienceSGL for USaR pursuits establishing human signatures across a widerange of signals such as: • Chemical• Sound • Video

Another challenging task is identifying:• Signatures of dead bodies and hazardous conditions in the collapsed

structures

FP7-SEC-2007-1 6SGL for USaR

The science and technology

The technologyInformation, communication and sensors technologies are used for:• delivering systems and devices that are pushing forward the USaR operations• develop smart algorithms• develop specialized software

The key element in using these technologies is the integration thatallows for acquisition and short out of different types of signals with thescope of increasing the accuracy of the information and the reduction ofthe time needed for searching for victims.

FP7-SEC-2007-1 7SGL for USaR

Experimental work for establishing human signatures in “SGL for USaR” project

No Title Data type and methods Number of measurements

Chem

ical

Hum

an s

igna

ture

s

1 Trapped Human Experiment 6 hr-10 volunteers (THE-6h)

Blood pressure, Pulse Rate, Temperature, Humidity, Flow rate, CO2, CO, O2, VAMPI inlet, VAMPI inlet, VAMPI, VAMPI 5, BREATH, SALIVA, SKIN, TD-GC-DMS, TD-GC-MS, TD-GC-MS, TD-GC-GC-TOF-MS, TD-GC-MS, MCC-IMS, MCC-IMS

3576

2 Gas sampling system: sensors of O2, CO, CO2, NH3, LP in THE (6h-10 volunteers)

GSS 3300

3 Trapped Human Experiment 24h-1 volunteer (THE-24h)

Blood pressure, Pulse Rate, Temperature, Humidity, Flow rate, CO2, CO, O2, VAMPI inlet, VAMPI inlet, VAMPI, VAMPI 5, BREATH, SALIVA, SKIN, TD-GC-DMS, TD-GC-MS

519

4 Odour simulator optimization and synthesis of synthetic odours

PSS-MS, TDU-GC-MS, synthetic urine, synthetic smell of death

202

5 Correlation of expired air analysis with vital signs (VITAL experiment): Acetone and isoprene and vital parameters on a stationary bicycle

PTR/MS, Vital parameters (Hemodynamic Parameters such as heart rate, RR interval, systolic blood pressure, diastolic blood pressure, stroke volume, Cardiac output, total peripheral resistance and Ventilation Parameters such as alveolar ventilation, inhalation volume)

20 (8 volunteers)

FP7-SEC-2007-1 8SGL for USaR

Chem

ical

Hum

an s

igna

ture

s

6 Concentration of various compounds and vital parameters during sleep

PTR/MS, Vital parameters (Hemodynamic Parameters such as heart rate, RR interval, systolic blood pressure, diastolic blood pressure, stroke volume, Cardiac output, total peripheral resistance and Ventilation Parameters such as alveolar ventilation, inhalation volume)

16 8 volunteers (with 2 nights

each, time-resolved)

7 Measurements of exhaled breath of ventilated patients at the ICU (as model for entrapment) GC-MS

150

7 patients

8 Measurement of exhaled breath of patients undergoing dialysis (as model for entrapment)

PTR/MS 100

10 patients

9 Human related VOCs interaction with collapsed building background (INTERACTION experiments): Urine measurements by GC-MS

GC-MS

200

10 Urine penetrating different materials (mimicking debris) in fill chamber MCC-IMS,GC-MS

200

Experimental Work for Establishing Human Signatures in “SGL for USaR” Project

FP7-SEC-2007-1 9SGL for USaR

Chem

ical

Hum

an s

igna

ture

s

11 Indoor diffusion of various compounds, after penetrating different materials (mimicking debris) in fill chamber

PTR/TOF-MS

50

12

Human related VOCs digital library for IMS: Chemical profiles measured by portable IMS sensor

IMS sensor of FIRST (VAMMPI)

100

13

Calibration measurements of PTR-MS, GC-MS, MCC-IMS and VAMPPI-sensor

PTR-MS, GC-MS, MCC-IMS, VAMPPI-sensor

3100

14 Human SKIN related VOCs: calibration measurements

GC-MS 5

1 volunteer

15 EXHALED BREATH analysis in correlation with indoor air analysis

PTR-MS, GCMS, MCC-IMS

300 240 volunteers

Experimental Work for Establishing Human Signatures in “SGL for USaR” Project

FP7-SEC-2007-1 10SGL for USaR

Chem

ical

Sign

atur

es o

f H

azar

dous

and

to

xics

con

ditio

ns 16 Integration of chemical, audio

and video methods for monitoring fires from different materials (cotton, wood, paper, cable)

PSS-MS (SIM) in combination with audio and video, CO2, CO, O2, NO, T, LEL,

135

17 Integration of chemical, audio and video methods for early detection and monitoring of indoor fires (cotton with and without obstacles)

PSS-MS (SIM) in combination with audio and video, CO2, CO, O2, NO, T, LEL

135

Dea

d bo

dy

sign

atur

es

18 Dead Animal Reconnaissance Knack 5 days-4 pig carcasses (DARK)

TD-GC-MS, TD-GC-GC-MS, PSS-MS, MCC-IMS, CO2, CO, NH3, CH4, H2S, T, RH, In combination with Visual and Thermal images

644

19 Dead body Early Decay-7days-3 pig carcasses: integration of video and chemical data

TD-GC-MS, CO2, CO, NH3, LEL, Visual images, Thermal images, T, RH

220

Experimental Work for Establishing Human Signatures in “SGL for USaR” Project

FP7-SEC-2007-1 11SGL for USaR

No Title Data type and methods Number of measurements

Audi

o

Hum

an si

gnat

ures

20 Digital libraries of sounds signatures

scratch with brick - copper tube, scratch with brick - aluminum tube, scratch with brick - aluminum foil wrinkle paper, rumple plastic bottle, plastic bottle twist, concrete tile, granite tile, pipe_iron_copper_aluminium tile, ceramic scratching brickbat - rough part, scratch glass brickbat, scratch wood brickbat, ceramic (with concrete) scratching brickbat - rough part, scratch with brick - iron tube, nails scratch - copper tube, nails scratch - aluminum tube, nails scratch - aluminum foil, ceramic scratching brickbat - smooth part, nails scratch glass, nails scratch wood, ceramic (with concrete) scratching nails - rough part, iron tube, mobile phone – vibration, mobile phone - vibration over rockwool, mobile phone - vibration rockwool surrounded, ceramic scratching nails - smooth part, ceramic scratching nails - rough part

24 wave sounds

Experimental Work for Establishing Human Signatures in “SGL for USaR” Project

FP7-SEC-2007-1 12SGL for USaR

Audi

o

Sign

atur

es o

f ha

zard

ous a

nd

toxi

c co

mpo

unds

21 Audio signatures of fires from different materials (data set of number 16 experiment)

cotton, wood, paper, cable 30

22 Audio signatures of indoor fires (audio data of number 17 experiment)

cotton with and without obstacles 30

Vide

o

Hum

an

sign

atur

es 23 Digital libraries of images Dry ice images using IR and VIS cameras in

three levels of temperatures; zero, half, and total brightness

164 jpeg images ( 77 IR and 87 VIS)

Sign

atur

es o

f ha

zard

ous a

nd

toxi

c co

mpo

unds

24 Video signatures of fires from different materials (data set of number 16 experiment)

cotton, wood, paper, cable 15

25 Video signatures of indoor fires (audio data of number 17 experiment)

cotton with and without obstacles 15

Experimental Work for Establishing Human Signatures in “SGL for USaR” Project

FP7-SEC-2007-1 13SGL for USaR

Tangible prototypesFIRST responder device

(KOMAK operational field terrain, Athens, 26-27/SEP/11).

SGL for USaR

FP7-SEC-2007-1 14SGL for USaR

Tangible prototypes

REDS (Remote Early Detection Systems) (DIRIP operational field terrain, Gava, Spain, 12-13/SEP/11)

SGL for USaR

FP7-SEC-2007-1 15SGL for USaR

Tangible prototypes

C&C center (Integrated Platform)

SGL for USaR

FP7-SEC-2007-1 16SGL for USaR

Tangible prototypes

Odor simulator (SDIS 84 operational field terrain, Avignion, France, 5-8/SEP/11).

SGL for USaR

FP7-SEC-2007-1

SGL for USaR

SGL for USaR running the 4th year is focusing ondissemination of the knowledge acquired and the

exploitation of the systems that have been developed

17SGL for USaR

Thank you for your attention!

http://www.sgl-eu.org/