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Dynamic forecasting of the risk of forest fires
A new system for dynamic forecasting of the risk of forest fires allows authorities to plan their standby services more effectively.
Today, in order to forecast forest fires, it is usually the case that the moisture of the combustible material is indirectly derived from the area’s meteorological data. However, as different soil types and forest types react differently to changes in humidity, the calculations do not always correspond to the local conditions. For this reason, WSL researchers from Bellinzona and the company Enveve, a remote measurement specialist, have developed the system Fireless2, which determines the moisture of forest litter and humus locally. A set of sensors on and in the forest floor is wirelessly connected to a solar-powered mini control centre which continually transmits the measurement data to the monitoring authority’s computers. Taking the current meteorological data into account, these can then provide a precise picture of the risk situation.
(Text originally published on ethrat.ch)
Communication: 433 MHz bewteen sensores and gateway, GSM for the interaction beween gateway and control center. A Collision Detect Algorithmus is used to manage transmission errors.
Power suppy: The gateway can store up to 30 days of data. Its internal battery is constantly recharged by a solar panel, with a backup battery ready for critical situations. The sensors are optmized for minimal power consumption and each have a battery designed to last up to five years.
Security: The whole system ist waterproof and windresistant. Data transmission is