WP5 is focused on the contribution to the safety of first responders and victims by detecting and monitoring dangerous substances such as
chemicals or toxic gases in a Chemical Detection System (CDS).
The main outputs of this CDS will be a wearable chemical detection sensing solution and a chemical dispersion model that contribute to the decision support system.
The wearable chemical sensors will monitor air quality and potential risks surrounding first responders such as hazardous gases, and flammable gases. The information provided by the
wearable chemical detection solution will contribute to a dispersion model that will provide the intensity of chemics, evolution and dispersion map of these chemicals.
On the one hand, the most common situations faced by the first responders have been studied, as well as what substance or chemicals are usually found in these situations to make an
adequate selection of the type of sensors to be considered. On the other hand, the definition of the set of chemical compounds the wearable system that could include to detect and
monitor over the disaster area for the sake of the safety of the first responders has been defined.
During the previous period, an initial overview of the overall architecture of the CDS has been defined. Also, insights in the mechanisms functionalities and responsibilities of each
part of the system have been developed. All the CDS architecture has been defined considering the definition of interfaces that connect with other systems as well as its integration
with the global TeamAware architecture and infrastructure. The requirements and user needs have been analysed in order to design a product that meets current and future needs
considering the inputs of the experts of the consortium.
Regarding the dispersion modelling for chemicals different models have been considered models since they are appropriated for different needs and different substances.
Dispersion model responds to the need of environmental awareness in the first responder operations, based on the chemical data to be collected from the field, prediction
for the future chemical dispersion will be given as an output of this deliverable to plan operations. These dispersion model using a statistical approach gives the user more
information about spatial and temporal changes in contaminated areas with controller cost of computational effort.
AITEX
AITEX is a private non-profit association established in 1985 that encompasses textile and related companies. Its ultimate aim is to make this sector more competitive. To achieve this,
the Institute promotes modernization and the introduction of new and emerging technologies and, in general, any initiatives that will contribute to the industrial progress of the sector.
The work carried out by the Institute is closely linked to the sector’s industries, either through the advanced technical services offered by the Institute (consultancy, market,
certification, quality control, training, etc.), the confidential research projects developed at the request of different companies or the projects financed by public funding, in
which case the results benefit the sector as a whole. Some current figures are that AITEX has around 1.100 associated companies, more than 3.000 clients, 250 staff and 9 delegations
around the world (North and South America, China, Pakistan, Lithuania and India) apart from the headquarters in Spain.
HAVELSAN
HAVELSAN develops indigenous and national solutions in a wide range, covering system engineering, integration, testing and training oriented at command, control, communications,
information systems, intelligence, surveillance and reconnaissance requirements in strategic, tactical and operational levels in the areas of defence and security, and offers
technical support services for the above. The Company turns its technology and R&D investment and core competencies into easily-adaptable new products and systems. In the scope of
this work package, HAVELSAN will be responsible from chemical dispersion model for sensors which is one of the core competencies of the company.
