Risk analysis over a large territory

Responding to a natural or accidental disaster situation, such as a fire, often requires a massive deployment of emergency teams and resources. In order to support them in the field and increase their operational efficiency, it is essential to be able to predict the capacity of disasters to spread, whether in a natural, industrial or urban environment.

The IT Link teams have developed and integrated a demonstrator capable of predicting the risks of disaster spread, based on an engine for analyzing and covering the risks of propagation over a large territory.
To do this, the team had to remove a number of scientific and technological obstacles:
- Scientific locks: ability to take into account fire, explosion or other risks in dynamic urban environments,
- Locks on information processing: possibility of processing multi-source, multi-format data to assess current risks,
- Integration locks: compatibility with other formats, platforms and tools, dialogue between multiple tools, summary presentation of results in order to achieve the specified operational functionalities,
- Usage locks: ability to deal with risk analysis and coverage within a defined legal and regulatory framework.