Method and device for detecting forest fires
AssigneeDryad Networks GmbH
InventorsCarsten BRINKSCHULTE, Daniel HOLLOS
Life of this patent
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Abstract
The invention relates to a method for forest fire early detection having the steps of implementing machine learning data (ML data) for the detection of forest fires in a forest fire early detection system, recording measurement data by a terminal device of the forest fire early detection system and determining result data by applying the ML data to the measurement data recorded by the terminal device, with the ML data being implemented in the terminal device, as well as a forest fire early detection system with a LoRaWAN network.
Claims22
A method for forest fire early detection having the method steps
- implementation of ML data for the detection of forest fires in a forest fire early detection system (1),
- acquisition of measurement data by a terminal device (ED) of the forest fire early detection system (1) and
- determining result data (RDnn) by application of the ML data to the measurement data recorded by the terminal device (ED),
- wherein the ML data is implemented in the terminal device (ED).
A forest fire early detection system (1) with a LoRaWAN network comprising
- a terminal device (ED), the terminal device (ED) having a sensor device, a first control device, an evaluation device for evaluating measurement signals supplied by the sensor device and a device for supplying energy,
- a network server (NS),
- characterized in that
- the first control device is suitable and intended to access a memory that contains data from the adaptation and application of a machine learning model.
Dependencies are inferred from the claim text.