Application Framework with Drone system

System for early warning and monitoring composed by: on site sensors (e.g. along a river); an automated application framework to provide warning system features; fitted for communication with deployable system like drones that can perform a variety of monitoring tasks providing data to the application framework.
Technology validated in relevant environment.
Fidelity of breadboard technology increases significantly. The basic technological components are integrated with reasonably realistic supporting elements so they can be tested in a simulated environment. Examples include “high-fidelity” laboratory integration of components.
Testing plan completed
The testing plan and the BRIGAID’s Testing Innovation Framework (TIF) has been rightly applied and finished. The TRL of the innovation has been effectively reached.
Currently the proposed innovation is a proof of concept and it is necessary to define the IT platform with the framework able to integrate the drone/fleet of drones operations.

How does it work?

System for early warning and monitoring (in case, for example, of flood or river / sea contamination) composed by: • on site sensors (e.g. along a river); • an automated warning system; • fitted for communication with deployable system like drones that can perform a variety of monitoring tasks providing data to the DSS. The sensors aim at monitoring the river in real time, looking for readings outside normal parameters to detect problems. In case of problems, an automated warning system will ask to deployable systems fleet to inspect the affected area, taking pictures, recording videos or even deploying extra sensors (this feature will be tested by means of simulations). This makes it possible to have a complete report to be sent to the public bodies (municipality, civil protection & public safety bodies) in the required format, thus speeding up the process to solve the emergency and preventing its extension. The warning system should use different input: • sensors data (e.g. level of the river water, pH, chemical composition of the water); • calls from citizens (automated call center); • social media analysis to automatically see if anyone is talking about problems in the river.