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Juan Barba Polo, Philippe Serruys:
Development of Smart Wireless Microsensor GNSS Network for Disaster Monitoring

DESCRIPTION
The successful tandem of microsensor networks and GNSSEGNOS
technologies is likely to enjoy one of the greatest technological
and commercial successes in the next decade. Collecting
huge amounts of data from an intelligent microsensor network is
useless without the means to analyse this information in a spatial
way. For most emergency and risk management applications, the
microsensor network will rely on the availability of GNSS-EGNOS
positioning. These networks consist of electronic devices capable
of registering information from the environment in which they
have been disseminated, processing it, georeferencing it using
GNSS, and transmitting the data wirelessly to its destination. One
of the most interesting fields of application is the temporal and
spatial observation of certain physical phenomena, such as temperature,
humidity, pH, toxins, and brightness. Typical examples
of such phenomena include the monitoring of forest fires, contaminating
emissions and red/black tides.
INNOVATION
Unlike previous systems, the microsensor network is no longer
limited to just receiving information and sending it to the borders
of the network for processing. This network is intelligent in its
ability to apply different types of processing to measurements.
The obtained model will be known by all nodes in the network
such taht each node can deliver information about the entire network
– conveniently georeferenced by GNSS-EGNOS systems –
at any time.
TARGET MARKET
The product is oriented towards governmental organisations
that manage crisis situations such as forest fires, gas leaks, toxic
waste, and red/black tides. It also targets private companies
(chemicals, oil and gas, nuclear, and so on) that are exposed to
this kind of event and thus subject to the SEVESO II directive. In
addition, military applications focused mainly on surveillance
may be considered.
CUSTOMER BENEFIT
This network’s innovative characteristics are of special interest
for tasks in disaster management in which the lives of people
working in affected areas could be in danger. The “smart” network
complements other data sources – our Remote Sensing
Monitoring System, for example – and could also be deployed
inaccessible areas from our UAV system, making it possible to
obtain data crucial to better and faster decision-taking on evacuations,
escape routes, and other vital issues.
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