Presentazione del progetto

Transcription

1 Project BONAS BOmb factory detection by Networks of Advanced Sensors N Call FP7 SEC Funding scheme Collaborative project Presentazione del progetto

2 Che cosa fa l Europa per la Security Gestisce la CllS Call Security EC Contribuisce alla normativa (aeroportuale) Contribuisce alla parte legislativa Programmi per la Difesa EC Dual use technologies

3 La Call Security EC DG ENTR

4 La Call Security EC DG ENTR

5 Cooperation EC US DG HOME

6 Network on the Detection of Explosives (NDE) DG HOME Main aim: support the EU DG Home and the Commission Technical expertise and advice on technical aspects Assessment of impacts of policy options Support to the Commission by delivering papers and analysis Identify relevant experts, organisations, projects in the Member States and in the private sector

7 Real time detection of moving explosives in mass transit Eye safe RADEX (stand-off Raman Detection ti of Explosive)

8 The BONAS s approach Il Progetto BONAS è un progetto di ricerca nato dall esigenza di proteggere i cittadini dai cosiddetti IED, Improvised Explosives Devices o esplosivi improvvisati, utilizzati soprattutto dalle organizzazioni terroristiche. Obiettivo del Progetto è la realizzazione di una serie di sensori innovativi iinseriti itiin una rete wireless in grado di individuare fabbriche clandestine di esplosivi. Verrà inoltre esplorata la possibilità di installare alcuni sensori su una piattaforma autonoma volante. Data inizio 01/04/2011 Durata 42 mesi

9 Uso di un IED

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11 Leed spring 2005 Time sequence of an explosive attack

12 BOmb factory detection by Networks of Advancedd Sensors LIDAR/DIAS detection precursors undetectable exothermic reaction vapours / steam / particles terrorist cell heavy cooling fabrication process / cooking cooling, spilling cleaning up Contaminated waste water precursors + rain Vapour sampling detectors Sensors reaction Lidar products QPAS Chip sensors: Immunosensor SERS QCM explosive particles Electrostatic t ti sampler multi parameter dector Sampling New Raman enhancing substrates Network Control and Processing System Details of July 7 'bomb factory' disclosed. 11:42PM BST 02 May bomb-factory-disclosed.html

13 BONAS partnership Research partners Industrial component SME End Users

14 BONAS partnership 9 countries

15 The Network of sensors Target phase Liquids Solids Vapours

16 Sensor Network concept BONAS Top Layer Fixed wireless sensor network (e.g. containing immunosensors) deployed in a complex urban sewer system. The system will be working permanently, always looking for evidence of the presence of targeted substances and constantly providing the central unit operator with the likeliness of IED production in the corresponding neighborhood. As soon as the operator decides that a positive detection occurred, the second phase is initiated.

17 Sensor Network concept BONAS Middle Layer MANET (Mobile Ad hoc Network), which has mobile units as network nodes (e.g. vans with the LIDAR system and QEPAS sensors aboard), instead of a fixed sensor network. Since the previous phase already narrowed down the IED factory search to the level of a particular neighborhood, this phase ss mission will be to track precursor substance residues present in steam rising from a single building or street. In order to do this, the set of mobile units is deployed on the field, each mobile unit for a single house block. They will constantly analyze the environment and communicate with the central unit, forwarding all relevant information. Once a positive reading is obtained, this phase ends and the last one starts.

18 Sensor Network concept BONAS Bottom Layer A wireless network of fixed sensors camouflaged into ubiquitous urban elements combined with mobile units containing stand off and in situ sensors. At this point, the search for the bomb factory has already been restricted to a relatively small area such as a street. After the IED production site is identified, d evidence is gathered and the responsible authorities (bomb b squad and police authorities) are contacted in order to proceed to dangerous material apprehension and potential suspect s arrest.

19 Atmospheric sensor Lidar

20 SERS sensor Development and delivery of miniaturized and cost effective Raman spectrometer with integrated SERS surfaces. Plasmonic field-enhancing surfaces Prototype small foot- print optics Algorithms: Universite de Lausanne, Switzerland (TEKEVER Tecnologias de informacao, Portugal)

21 Quartz Enhanced Photo Acoustic Spectroscopy technique (QEPAS) Principle of Operation: An InfraRed laser beam is focused between the prongs of a Quartz Tuning Fork QTF. The laser amplitude is modulated at the QTF resonant frequency. An acoustic wave is generated when the laser wavelength matches roto vibrational transitions of gas molecules that are present between the prongs. The photoacoustic signal is proportional to the concentration ti of the gas and to the laser power. (Quartz Enhanced Photo Acoustic Spectroscopy)

22 Immunosensor Immunosensors are, by definition, a combination of an immobilized immunological receptor for detecting by structural complementarity a target analyte (a single organic or inorganic molecule) with high specificity, and a transducer which converts a biological interaction into a measurable signal. The most frequently used transducers in immunosensor development are based on electrochemistry, fluorimetry, interferometry, resonance, and reflectometry. Most of the immunosensors include a sensing layer supporting a particular immobilised antigen or antibody. Major efforts are currently being devoted to the development of devices allowing the direct (non labelled) and rapid detection of target materials in liquid media

23 Quartz Crystal Microbalances (QCM) QCM sensor is based on the measurement of the variation of the fundamental lfrequency of a piezoelectric device. This frequency is affected when volatile species, such as explosive vapours, are adsorbed at the surface of the sensitive film deposited on the QCM. A portable detector based on four Quartz Crystal Microbalances (QCM) was developed dat CEA for the detection of explosives vapours, such as TNT and PETN vapours. Laboratory detection testing with the device based on 4 QCMs operated at 100 MHz showed the high sensitivity and selectivity of the QCM sensors. Significant detection signals were obtained at concentrations of explosives vapours as low as a few ppbvs, in presence of interfering species. Impedance analysis is based on electrical conductance curve. The central parameters of measurement are the resonance frequency f res and the bandwidth w Photograph of typical quartz crystal resonators as used for QCM, metallised with gold electrodes (left: front electrode, right:back electrode) by vapor deposition From Wikipedia, the free encyclopedia

24 Vapour & particle sampler

25 System Integration System Integration Integration of each network sensor in the common on boardprocessing system prototype Integration of the implemented HMI on board processing system in the central unit vehicle On Board Processing System System Cost Analysis Carry on a thorough and careful system cost analysis Capex Deployment Costs OPEX Maintenance Costs

26 Expert system, validation & demonstration Develop a so called expert system (offline system) capable of 1. performing pattern recognition by comparing the spectra with a database, and integrated all the information from the network of sensors so asto identify/classify the analytes and to establish chemical similarity with compounds and mixes in a black list ; 2. learning from the positive samples that are identified when the instrument is being used by the enduser.

27 Prospectives from BONAS Guidelines for future implementation of new regulations FOI, Secrab, Saab, Portendo [SWEDEN] Bruker [GERMANY] Ramem, University of Barcelona [SPAIN] Athens Institute of Technology [GREECE] TNO [THE NETHERLANDS] Bruhn NewTech [DENMARK]