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Contenuto archiviato il 2024-06-16

Sensor and computing Infrastructure for environmental risks


The SCIER project will design, develop, and demonstrate an integrated system of sensors, networking and computing infrastructure for detecting, monitoring, predicting and assisting in the crisis management of natural hazards or accidents at the "urban-rural-interface" (URI), i.e. in areas where forests and rural lands interface with homes, other buildings and infrastructures. The overall goal of the SCIER system is to make the much neglected URI zone safer for the European citizens against any type of natural hazards or accidents.

To achieve its ambitious objective, SCIER pushes the state of the art and combines several technologies:
1) self-organizing, self-healing re-configurable sensor networks for the detection and monitoring of disastrous natural hazards,
2) advanced sensor data fusion and management schemes capable of deducing the required information needed for accurately monitoring the dynamics of multiple interrelated evolving hazardous phenomena (multi-risk),
3) environmental risk models for predicting the evolution of hazardous phenomena using a robust GRID computing infrastructure.

The proposed system promotes public-private sector cooperation: indeed, SCIER involves the private sector (e.g. house/land owner, security company) as an "active player" in the URI zone protection and the monitoring of hazardous events. A prototype system integrates state-of-the-art sensors (e.g. vision sensors, wireless sensor networks with low energy requirements) with the communications and computing infrastructure. The SCIER system will be demonstrated and evaluated in four European regions (Greece, France, Czech Republic and Portugal). Such sites have suffered in the past from forest fires and/or floods.

The project mobilizes partners from research institutes, academia, public authorities and SMEs and service providers from (7) EU countries which combine specialized skills with complementary expertise to fully cover the project requirements.

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Partecipanti (9)