The response to a natural or accidental disaster, such as a fire, often requires the massive deployment of rescue teams and resources. In order to provide support on the ground and enhance operational efficiency, it is essential to be able to predict the propagation capacity of disasters in natural, industrial or urban environments.
IT Link teams have developed and integrated a simulation platform that can predict the risk of propagation of a disaster, based on a propagation risk analysis and coverage engine over a large geographic area.
To do this, the team had to remove a number of scientific and technological barriers:
- Scientific barriers: ability to take into account the risk of fire, explosion or other hazards in urban and dynamic environments,
- Information processing barriers: ability to process multi-source, multi-format data to assess common risks,
- Integration barriers: compatibility with other formats, platforms and tools, dialogue between multiple tools, presentation of summary results in order to achieve the specified operational functionality,
- Usage barriers: ability to perform risk analysis and coverage tasks within a specific legal and regulatory framework.
