POLLINS
Automated Pollution Inspection Scanning System for Soil using a robotic vehicle
| Coordinatore | ETHNIKO KENTRO EREVNAS KAI TECHNOLOGIKIS ANAPTYXIS
Organization address
address: CHARILAOU THERMI ROAD 6 KM contact info |
| Nazionalità Coordinatore | Greece [EL] |
| Totale costo | 2˙949˙456 € |
| EC contributo | 2˙207˙588 € |
| Programma | FP7-SME
Specific Programme "Capacities": Research for the benefit of SMEs |
| Code Call | FP7-SME-2013 |
| Funding Scheme | BSG-SME-AG |
| Anno di inizio | 2013 |
| Periodo (anno-mese-giorno) | 2013-11-15 - 2016-11-14 |
Partecipanti
| # | ||||
|---|---|---|---|---|
| 1 |
ETHNIKO KENTRO EREVNAS KAI TECHNOLOGIKIS ANAPTYXIS
Organization address
address: CHARILAOU THERMI ROAD 6 KM contact info |
EL (THERMI THESSALONIKI) | coordinator | 90˙000.00 |
| 2 |
ASSOCIATION OF INFORMATION TECHNOLOGY COMPANIES OF NOTHERN GREECE
Organization address
address: TECHNOPOLIS THESSALONIKIS BUSINESS PARK BUILDING C2 contact info |
EL (THESSALONIKI) | participant | 364˙312.60 |
| 3 |
Robotics Society in Finland
Organization address
address: Soidintie 14 contact info |
FI (Helsinki) | participant | 357˙299.50 |
| 4 |
AGRUPACION PYME PARA LA SINERGIA EN I MAS D SL
Organization address
address: CALLE ESTACION 29 PLANTA 1 PUERTA 3 contact info |
ES (CALDES DE MONTBUI BARCELONA) | participant | 356˙714.60 |
| 5 |
LIVERPOOL CHAMBER COMMERCIAL SERVICES LTD
Organization address
address: OLD HALL STREET 1 contact info |
UK (LIVERPOOL) | participant | 342˙887.00 |
| 6 |
RAZVOJNI CENTER ORODJARSTVA SLOVENIJE
Organization address
address: KIDRICEVA ULICA 25 25 contact info |
SI (CELJE) | participant | 340˙506.70 |
| 7 |
TAHRIBATSIZ MUAYENE DERNEGI
Organization address
address: ATISAN SAN SITESI 30 SOKAK 34 1 contact info |
TR (ANKARA) | participant | 111˙202.30 |
| 8 |
E. KASDERIDIS & SIA E.E.
Organization address
address: ANTONI TRITSI BUSINESS INCUBATOR 21 contact info |
EL (THESSALONIKI) | participant | 42˙780.00 |
| 9 |
OIKON DOO INSTITUT ZA PRIMIJENJENU EKOLOGIJU
Organization address
address: TRG SENJSKIH USKOKA 1-2 contact info |
HR (ZAGREB) | participant | 40˙922.10 |
| 10 |
THE CITY UNIVERSITY
Organization address
address: NORTHAMPTON SQUARE contact info |
UK (LONDON) | participant | 39˙200.00 |
| 11 |
I & T NARDONI INSTITUTE SRL
Organization address
address: VIA DELLA CASCINA PONTEVICA 21 contact info |
IT (BRESCIA) | participant | 35˙944.00 |
| 12 |
CENTER OF TECHNOLOGY RESEARCH AND INNOVATION LTD
Organization address
address: K PAPARIGOPOULOU 15 contact info |
CY (LEMESOS) | participant | 30˙800.00 |
| 13 |
INSTITUTE OF COMMUNICATION AND COMPUTER SYSTEMS
Organization address
address: Patission Str. 42 contact info |
EL (ATHINA) | participant | 28˙000.00 |
| 14 |
"INETEC-INSTITUT ZA NUKLEARNU TEHNOLOGIJU DRUSTVO S OGRANICENOM ODGOVORNOSCU ZA ISTRAZIVACKO RAZVOJNE I KONSULTING USLUGE, PROIZVODNJU I TRGOVINU"
Organization address
address: DOLENICA 28 LUCKO contact info |
HR (ZAGREB) | participant | 27˙020.00 |
| 15 |
ASOCIATIA PENTRU TEHNOLOGIA INFORMATIEI COMUNICATII DIN ROMANIA
Organization address
address: CALEA FLOREASCA 167 SECTOR 1 contact info |
RO (BUCURESTI) | participant | 0.00 |
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Obiettivo del progetto (Objective)
'Currently, the detection of soil pollution is done by manual surveys which are inefficient, unreliable, time consuming and very expensive. The need of a better and low-cost technical approach, that would be able to assess contaminated areas before programing the required remediation actions, has become more intense due to public awareness for the environment.
This project aims to develop a semi-autonomous, remotely controlled robotic system that will deploy three novel (and a modified existing) sensors for the assessment of soil quality and site characterization. The large contaminated sites will be covered by 100%, presented by fine scale 3D maps of contaminant levels and giving quality and quantity data for the pollutants (heavy metals, organic solvents, NAPLS) without the need of human intervention. Considering that the personnel is endangered by the toxic contaminants, this is very important.
Four different types of sensors (HPU, GPR, chemical sensors and SAW) will be integrated to detect efficiently the contaminants in the surface and underground (up to 10 meters). Data collected from the sensors will be fused, correlated and optimized to provide GPS linked ground 3D images of contaminant distribution. Thus ground property images from different sensors can be combined to produce composite images that can be used also later to during the treatment of soil contamination. Advanced signal processing techniques will be used to obtain the correct interpretation of the data acquired by the sensors and image processing will ameliorate the fused images. The automated inspection soil contamination system will benefit the SMEs involved in NDT, robotics and contamination detection'