This Wildfire, Forest Fire and Detection System, herein referred to Wildfire, will use a combination or existing on the shelf technologies for specific use of detecting fires, forest fires, and wildfire by sampling the air for both smoke with both ionization and/or photoelectric smoke detector technologies and a temperature sensor in an outdoor enclosure distributed across a grid of forest, woodlands, prairie, and fire prone areas to detect presence of combusting ions and/or smoke that may signify a potential fire source or fire in progress. The system will use telemetry or cellemetry, to a satellite or cellular/wireless network to notify Command, Control and Dispatch of a fire potential long before the forest is ablaze leading to a wildfire. Smoldering embers and small fires can be more easily be extinguished by dispatching a small crew or water drop by aircraft log before the forest is burning. Wildfire will locate, and detect the direction and speed of the burn. THE WILDFIRE SYSTEM WILL USE A COMBINATION OF TECHNOLOGIES THAT WILL DETECT SMOKE, COMBUSTION IONS, AND INCREASED TEMPERATURE OF EACH STATION STATIONS WITH TRIANGULATION LOCATION BY DISTRIBUTED STATIONS WITHIN THE FIRE PRONE AREAS TO THE COMMAND CONTROL CENTER OF POTENTIAL SMOLDERING EMBERS, SMOKE, OR FIRE LONG BEFORE THE FIRE PRONE AREA IS ABLAZE AND OUT OF CONTROL. THE SYSTEM WILL DETECT THE LOCATION OF THE BURN BY TRIANGULATION, THE DIRECTION OF THE BURN, AND SPEED OF THE BURN.

Methods, systems, and apparatus, including computer programs encoded on computer storage media, for generating a temporal range of a fire. In some implementations, a server obtains a date when a fire occurred within a region. The server obtains satellite imagery of the region from before the date when the fire occurred. The server generates a first statistical distribution from the satellite imagery. The server determines a start date of the fire using the first statistical distribution. The server obtains second satellite imagery of the region from before and after the start date. The server selects a second set of imagery from the second satellite imagery from before the start date. The server generates a second statistical distribution from the second set of imagery. The server determines an end date of the fire using the second statistical distribution. The server provides the start date and the end date for output.

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.

The precision aerial firefighting and deluge system for helicopters and unmanned aerial systems is a device to attack fires inaccessible to firefighters due to altitude or other obstructions by streaming water or other fire retardant into or onto a specific location on the ground, on the water, or at altitude. The system employs a medium or heavy lift helicopter or unmanned aerial systems one or more tanks or bladders for water and/or fire retardant chemicals, a compressed air foam system, a pump, rigid plumbing lines for outflow of water/fire retardant; a rigid, telescopic boom that extends beyond rotor tip path plane, flexible lines/hoses inside boom; a crew switched electronic boom controller, a boom management system, a flange adapter, an electric, variable direction, crew-controlled fire monitor, a drop-hose, and a dart with inertial feathers.

A ground-based vehicle for making and applying a fire and smoke inhibiting slurry composition on ground surfaces before the arrival of wildfire so as to proactively form a strategic chemical-type wildfire break on the ground surfaces. The vehicle includes: a mobile spray vehicle navigable along a ground surface; a mixing tank with an integrated agitator mechanism mounted on the mobile spray vehicle, for blending mulch fibers including wood and/or cellulose fibers, with clean fire inhibiting chemicals (CFIC), using a wetting agent, and then mixing with a quantity of water to make up a fire and smoke inhibiting slurry mixture, so that the clean fire inhibiting chemicals infuse into the surface of the mulch fibers when being mixed within said mixing tank; a GPS-tracking hydraulic spraying system supported on the mobile spray vehicle to hydraulically spray the fire and smoke inhibiting slurry mixture on the ground surface so as to form a strategic chemical-type wildfire break. A network database is deployed on a wireless system network for documenting the formation of the strategic chemical-type wildfire break on said ground surface, by storing, as database records, GPS coordinates and time/date stamping data associated with the strategic chemical-type wildfire break and generated by the GPS-tracking hydraulic spraying system, and wirelessly transmitted to said network database for storage and future access on the wireless system network.

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.

A firefighting apparatus can include a system that applies a fire retardant material to provide a temporary fireproof and/or fire retardant coating to vegetation, structures and/or flammable materials. The apparatus can include a high capacity tank with an integral, internal agitator to mix liquid therein with a fire retardant polymer, such as a superabsorbent polymer, to produce a fire retardant coating material. The apparatus can include an upper deck to store bales of polymer and an access panel to load bales into the tank for continuous production of the coating material. Primary and secondary pumps can selectively pump the coating material in stationary and/or moving modes. The apparatus can be NFPA 1901 compliant, and can operate as a fire truck or vehicle. Optionally, the system can include a venturi to mix the polymer with liquid to produce the coating material. Related methods of use are provided.

The disclosed technology is generally directed to a system for detecting forest fires. The system may include a plurality of sensor devices in communication with each other, and a plurality of satellites in communication with at least one of the plurality of sensor devices via non-line-of-sight (NLOS) communication. Each of the sensor devices may include sensor(s) configured to measure a physical parameter; a processor that detects a condition indicative of a forest fire based on the measured physical parameter and generate a signal when the condition indicative of the forest fire is detected; and a communication interface and an antenna that communicates signals modulated with data indicating that the condition indicative of the forest fire has been detected. Each of the satellites may include a phased array antenna system that is configured to receive the signals that indicate that the condition indicative of the forest fire has been detected.

Methods, non-transitory computer-readable media, and property analysis systems are disclosed that extract vegetation location information from overhead and LIDAR images associated with a geographic location. The images are aligned based on the extracted vegetation information. Models are applied to the aligned images based on vegetation height information extracted from the LIDAR images. A graph is then generated based on a result of the application of the models. The graph represents a relationship between vegetation, one or more buildings, and one or more fire pathways associated with the geographic location. A wildfire risk score generated based on the graph is then output for the buildings via a GUI. Thus, the disclosed technology applies wildfire spread models and graphs to vegetation and buildings identified in aligned overhead and LIDAR imagery to provide relatively accurate wildfire risk assessment to insurers and homeowners and thereby facilitate informed decision-making and preventative measures.

Environmentally-clean wildfire inhibitor liquid biochemical solutions produced from an aqueous mixture of alkali metal salt derived from a non-polymerized saturated carboxylic acid such as formic acid, and dissolved in water along with a dispersing and coalescing agent, realized as an ester of a non-polymerized saturated carboxylic acid, and dissolved in the water to provide a liquid fire inhibitor solution that can be sprayed on combustible surfaces to form thin alkali metal salt crystalline coatings on the combustible surfaces when and as water molecules in the liquid fire inhibitor evaporate to the environment during drying operations, to inhibit fire ignition, flame spread and smoke development.