SYLVIACARE

KNOW , PRESERVE , PROTECT our natural and outdoor assets from wildfire disaster thanks to a disruptive and easy to set up solution.

Our goal : Offer an efficient solution to VERY EARLY DETECT WILDFIRE and OPTIMIZE THE FIREFIGHTERS ACTIONS.

Two pillars:

• ENVIRONMENTAL MONITORING: long term monitoring of local environmental parameters (temperature, hygrometry..) in order to evaluate and anticipate the fire risk and study the long term health variation of a forest patch.
• VERY EARLY FIRE DETECTION: thanks to local sensors detecting abnormal infrared radiations and able to send located alarms and local pictures of the environment.

The SYLVIACARE project aims to put on the market a very efficient wildfire detection solution, easy to set up and easy to interface with existing web platforms. The key performances are:

•  Very quick detection (<5min)
•  Precise geolocation (<50m)
• Real Time in situ image transmission for false alarm rejection.

This solution relies on:

• A communicating sensor equipped with infrared cameras (microbolometer matrix). The sensor is to be installed at 3m height in the trees to watch-out a 10ha area.
• A public low power wide area network (LPWAN)
• A primary platform to monitor all the sensors and to share data with other platforms.
• A secondary platform (Timbrack) to demonstrate the ability to easily communicate with the primary platform and get access to all the sensor information.

The solution also permanently monitors local parameters at the sensor level such as temperature and hygrometry.

The SYLVIACARE project mainly involves specific and consequent software development concerning sensors, communication network, edge computing and web platforms.

At the beginning of the project, the two members of the consortium, SYLVIACARE and TIMBTRACK, worked hard to build detailed specifications that have been key success materials. They allowed an efficient software development process while mitigating the risks of failure during the integration part of the project: make all the equipment to perfectly communicate with each other.

The software development process has been launched in December by each team. The modularity of the design associated to well documented
specifications has allowed an efficient work inside each team. Regular points have been made between the teams that led to small specifications adjustments without impact on the schedule. Final integration tests performed in May 2024 demonstrated that the prototype solution is operational from the sensor toward the primary and secondary platforms through the communication network.

We are proud to have achieved this ambitious challenge within a tight schedule. We are now on the road to build a demonstrator to be installed in the forest in real situation.