Systems, methods, and devices for early wildfire detection and prediction
AssigneeSenseNet Inc.
InventorsHamed Noori, Shahab Bahrami
Life of this patent
Estimating the term…
Abstract
A detection and prediction system, method, and server are provided. The system includes data collecting devices configured to connect to a network and a server for receiving environmental data from the devices, the data including location data, historical environmental data, and real-time environmental data, populating a map of a geographic area where the devices are disposed, receiving weather data through the wildfire detection network, determining a probability of a wildfire at a plurality of locations within the geographic area from the environmental data and the weather data, and determining whether an anomaly has occurred within the geographic area based on the real-time environmental data.
Claims16
A detection and prediction system comprising:
- a plurality of data collecting devices configured to connect to a wildfire detection network, wherein the data collecting devices automatically select a network protocol from a plurality of network protocols based on a location of the data collecting devices and/or a received network protocol received from another of the data collecting devices;
- and
- a network server for:
- receiving environmental data from the plurality of data collecting devices, wherein the environmental data includes location data, historical environmental data, and real-time environmental data;
- populating a map of a geographic area in which the plurality of data collecting devices are disposed;
- receiving weather data through the wildfire detection network;
- determining a probability of a wildfire at a plurality of locations within the geographic area from the environmental data and the weather data;
- and
- determining whether an anomaly has occurred within the geographic area based on the real-time environmental data;
- wherein the network server is further configured to:
- divide the map into smaller portions to form a pixelated map;
- aggregate sensor data from the environmental data and the location data;
- populate the pixelated map with the sensor data, wherein the sensor data for the plurality of sensors is correlated to the location of the sensors within the plurality of sensors;
- and
- determine the probability of the wildfire at the location corresponding to a pixel within the pixelated map.
A detection and prediction method, the method comprising:
- receiving environmental data from a plurality of data collecting devices configured to connect to a wildfire detection network, wherein the environmental data includes location data, historical environmental data, and real-time environmental data;
- populating a map of a geographic area in which the plurality of data collecting devices are disposed;
- receiving weather data through the wildfire detection network;
- determining a probability of a wildfire at a plurality of locations within the geographic area from the environmental data and the weather data;
- determining whether an anomaly has occurred within the geographic area from the real-time environmental data;
- dividing the map into smaller portions to form a pixelated map;
- aggregating sensor data from the environmental data and the location data;
- populating the pixelated map with the sensor data, wherein the sensor data for the plurality of sensors is correlated to the location of the sensors within the plurality of sensors;
- determining the probability of the wildfire at the location corresponding to a pixel within the pixelated map;
- and
- selecting automatically, by the data collecting devices, a network protocol from a plurality of network protocols based on a location of the data collecting devices and/or a received network protocol received from another data collecting device.
A network server for:
- receiving environmental data from a plurality of data collecting devices configured to connect to a wildfire detection network, wherein the environmental data includes location data, historical environmental data, and real-time environmental data, wherein the data collecting devices automatically select a network protocol from a plurality of network protocols based on a location of the data collecting devices and/or a received network protocol received from another of the data collecting devices;
- populating a map of a geographic area in which the plurality of data collecting devices are disposed;
- receiving weather data through the wildfire detection network;
- determining a probability of a wildfire at a plurality of locations within the geographic area from the environmental data and the weather data;
- and
- determining whether an anomaly has occurred within the geographic area based on the real-time environmental data-dividing the map into smaller portions to form a pixelated map;
- aggregating sensor data from the environmental data and the location data;
- populating the pixelated map with the sensor data, wherein the sensor data for the plurality of sensors is correlated to the location of the sensors within the plurality of sensors;
- and
- determining the probability of the wildfire at the location corresponding to a pixel within the pixelated map.
Dependencies are inferred from the claim text.