Fulda University of Applied Sciences, Germany

Fulda University of Applied Sciences, Germany is a Coordinator of the project and is creating communication protocols between the users that form the Crisis Management System responsible for development and testing of new algorithms for detecting forest fires. The aim is to create data model of data flows to a central database of developed, tested and integrated advanced systems for prevention. Fulda University of Applied Sciences is responsible for developing delay-tolerant network solutions and gossip protocols for hop-by-hop spreading of urgent sensor data (fire alarms).

Military Academy, Skopje, The former Jugoslav republic of Macedonia

The role of Military Academy Skopje is to conduct comparative analysis with other models of information systems for detection and monitoring forest fires, develop MOCK-UP for existing MKFFIS, installing a set of cameras detectors and mobile device (like drone) available on the market with a large optical range of monitoring forest fires in areas of particular importance. Performing research, testing and measurements of the detectors and sensors in the area of implementation to see the degree of efficiency. The connection of the system with the existing systems used in the Crisis Management System and the EU CIWIN (Critical Infrastructure Warning Information Network.

InterConsult Bulgaria Ltd.

The role of the InterConsult Bulgaria Ltd. is to develop solution for data management including storing time series data in Windows Azure, data modelling, and specifying all data flows necessary for the interoperability of different systems through standard interfaces. They will support also system testing, verification and validation as well as scenarios and algorithm specification.

Comicon Ltd., Bulgaria

Comicon Ltd., Bulgaria will specify, simulate and partially perform experimental testing on one or two of the concepts for CMIS systems using its expertise in wireless sensor network, fixed and mobile industrial applications, gateway and controller specification, simulations through OMNET++. The aim of the simulation is to prove the vitality of the solution during disasters.

National Cluster for Intelligent Transport and Energy Systems (NCITES), Bulgaria

NCITES will develop and test a multisensor solution for the existing fire towers, combining thermographic functions and detection of smoke, using specially elaborated cameras and specialized software, which grants greater efficiency. The solution will provide detection of the fires at their initial stage with great efficiency in hilly, mountain and alpine terrains with non-stop scanning of the protected area and possibility of a real-time surveillance. The software can be multi-language and the solution will bring the possibility of adding a drones with sensors.