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US 2025/0096604 A1Published application
Energy Harvesting Multisensor Wildfire Monitoring System
AssigneeWisconsin Alumni Research Foudation
InventorsYigit Tuncel, Umit Y. Ogras, Toygun Basaklar
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Abstract
A remotely deployable sensor system for detecting wildfires dynamically selects sampling schedules for a set of different sensors according to a machine learning model trained to minimize differences between sensor samples and the environment while conserving harvested electrical energy.
Claims16
A sensor system monitoring wildfire at a field location, comprising:
- a sensor suite including multiple sensors measuring different environmental parameters and having different electrical energy demands;
- an energy harvester for extracting energy from the environment to provide electrical power;
- an energy store communicating with the energy harvester for storing the provided electrical power;
- a power management circuit operating to read the environmental parameters and monitor energy in the energy storage to schedule the power consumption of each sensor from the energy store according to a schedule provided by a model trained with a training set of environmental parameters of wildfires and harvestable power over multiple predefined episodes;
- and
- a wireless transmitter for communicating the environmental parameters to a remote fire assessment station;
3 more elements
A method of training a sensor system of a type having:
- an energy harvester for extracting energy from the environment to provide electrical power;
- an energy store communicating with the energy harvester for storing the provided electrical power;
- a sensor suite including multiple sensors measuring different environmental parameters and having different electrical energy demands;
- a power management circuit operating to read the environmental parameters and monitor the energy store to schedule the power consumption of each sensor from the energy store according to a schedule provided by a model;
- and
- a wireless transmitter for communicating the environmental parameters to a remote fire assessment station;
- the method comprising:
- (a) generating a training set of environmental parameters of wildfires and harvestable power over multiple predefined episodes;
- and
- (b) training the model using the training set to provide schedules that minimize a combined difference between the environmental parameters and sensor readings of the environmental parameters over the training set comprised of different episodes while conserving the energy stored during the episode over the training set.
7 more elements
Dependencies are inferred from the claim text.