Juan Barba Polo, Philippe Serruys
The successful tandem of microsensor networks and GNSS-EGNOS 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.
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.
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.
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.
Juan Barba Polo
Galileo Geosystems S.L.
PARC CIENTIFIC DE LA UNIVERSITAT DE VALENCIA
C/ Catedrático Agustín Escardino n°9
46980 PATERNA (Valencia)
phone: +34 (0) 62 50 64 703