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
Fields of science (EuroSciVoc)
CORDIS classifies projects with EuroSciVoc, a multilingual taxonomy of fields of science, through a semi-automatic process based on NLP techniques. See: The European Science Vocabulary.
CORDIS classifies projects with EuroSciVoc, a multilingual taxonomy of fields of science, through a semi-automatic process based on NLP techniques. See: The European Science Vocabulary.
- natural sciences earth and related environmental sciences soil sciences
- engineering and technology environmental engineering natural resources management
- natural sciences earth and related environmental sciences environmental sciences pollution
- engineering and technology electrical engineering, electronic engineering, information engineering electronic engineering robotics
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Programme(s)
Multi-annual funding programmes that define the EU’s priorities for research and innovation.
Multi-annual funding programmes that define the EU’s priorities for research and innovation.
Topic(s)
Calls for proposals are divided into topics. A topic defines a specific subject or area for which applicants can submit proposals. The description of a topic comprises its specific scope and the expected impact of the funded project.
Calls for proposals are divided into topics. A topic defines a specific subject or area for which applicants can submit proposals. The description of a topic comprises its specific scope and the expected impact of the funded project.
Call for proposal
Procedure for inviting applicants to submit project proposals, with the aim of receiving EU funding.
Procedure for inviting applicants to submit project proposals, with the aim of receiving EU funding.
FP7-SME-2013
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Funding Scheme
Funding scheme (or “Type of Action”) inside a programme with common features. It specifies: the scope of what is funded; the reimbursement rate; specific evaluation criteria to qualify for funding; and the use of simplified forms of costs like lump sums.
Funding scheme (or “Type of Action”) inside a programme with common features. It specifies: the scope of what is funded; the reimbursement rate; specific evaluation criteria to qualify for funding; and the use of simplified forms of costs like lump sums.
Coordinator
570 01 THERMI THESSALONIKI
Greece
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Participants (15)
3000 Celje
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00101 Helsinki
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08140 CALDES DE MONTBUI BARCELONA
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55510 Thessaloniki
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6531 ANKARA
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L3 9HG LIVERPOOL
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10020 ZAGREB
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57001 THESSALONIKI
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25010 BRESCIA
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EC1V 0HB LONDON
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106 82 ATHINA
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1060 NICOSIA
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10 250 ZAGREB
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014459 BUCURESTI
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10000 Zagreb
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