166 results about "Wild Fires" patented technology

A wildfire defense system trailer and method of installing an automated sprinkler¬ based wildfire defense system on a wood (home) building construction site before the starting of the construction phase of a home building project in a wildfire urban interface (WUI) region. The first commissioned automated sprinkler-based wildfire defense system will continue in operation all during the home building construction phase, and will only be decommissioned from operation, and removed from the premises, including the job-site wildfire defense system trailer being removed from the property, when construction of the wood building project is totally completed, and the wood building is ready for occupation. At the same time when the first system is decommissioned, a second permanently-installed automated sprinkler-based wildfire defense system will be completely installed within the new building construction, independent from the first system, and ready for commissioning to provide a new proactive measure of defense against a wildfire storm occurring after wood building construction has been completed, thereby protecting all wood and combustible surfaces on the home and surrounding property, and preventing fire ignition and flame spread until the wildfire storm passes through the WUI region. By virtue of the present invention, it is now possible to significantly reduce the risk of wood building construction projects occurring within a wildfire urban interface (WUI) region, and better support the underwriting of building construction and ownership insurance policies within such regions.

The invention relates to a method for suppressing and / or extinguishing a wildfire using a wildfire extinguishing station, having the steps of receiving information, generating a control command, transmitting the control command or information, and carrying out the wildfire suppression process. The invention additionally relates to a wildfire suppression system comprising a network device, a server unit, a gateway, a first terminal, said first terminal having a sensor unit, and a second terminal, said second terminal having a wildfire suppression element.

A system for forming and maintaining GPS tracked and mapped environmentally-clean chemical-based fire protection zones formed over property and ground surfaces in and about a neighborhood of homes, that proactively inhibit fire ignition and flame spread when exposed to wild fire. The system includes a GPS-tracking anti-fire (AF) liquid spraying system wirelessly connected to a wireless communication network supporting a network database. The GPS-tracked anti-fire liquid spraying system is used to spray particular GPS-specified ground surfaces in and about the neighborhood, with an environmentally-clean anti-fire chemical liquid so to form environmentally-clean chemical fire protection zones over the GPS-specified property surfaces, while generating GPS-coordinate and time / date stamped data records pertaining to the application of the environmentally-clean anti-fire chemical liquid spray during the formation of the environmentally-clean chemical fire protection zones. The GPS-coordinate and time / date stamped data records are transmitted over the wireless communication network for storage in the network database. A mobile computing system is used to access the GPS-coordinate and time / date stamped data records from the network database, relating to the formation of the GPS-specified environmentally-clean chemical fire protection zones, so as to verify that the GPS-specified environmentally-clean chemical fire protection zones were formed at the GPS-specified property surfaces on the particular date, to proactively inhibit fire ignition and flame spread when exposed to wild fire.

A power distribution monitoring system (100) is provided that can include a number of features. The system can include a plurality of monitoring devices configured to attach to conductor(s) on a power grid distribution network. In some embodiments, a monitoring device is disposed on each conductor of a three-phase network and utilizes a complex platform of software and hardware to detect faults and disturbances that can be analyzed to determine or predict the risk of wildfires.

The invention discloses a forest carbon flux statistical method and system under the influence of a wildfire, and the method comprises the steps: obtaining forest multi-dimensional data including fire point data, and constructing a multi-scale collaborative database; constructing a carbon source-carbon sink dynamic coupling model according to the multi-scale collaborative database; obtaining a forest multi-dimensional remote sensing index, and constructing a correlation matrix; correcting the carbon source-carbon sink dynamic coupling model according to the correlation matrix; and generating a forest spatialization decision map based on the multi-scale collaborative database and the carbon source-carbon sink dynamic coupling model. According to the technical scheme provided by the invention, by fusing forest multi-scale data, a nationwide unified grid system is constructed, and large-scale forest fire carbon flux statistics and accurate quantification are realized; a carbon source-carbon sink dynamic coupling model is constructed, a forest multi-dimensional remote sensing index is used for correction, and the monitoring precision of the fire influence is remarkably improved; and the emission factors are dynamically calibrated, so that the inter-region difference is reduced, and the universality of the method is enhanced.

A service inputs building characteristics for a building into a machine learning model configured to output a probability that a given building will be lost should a fire reach the building, and receives as output from the model a building loss factor for the building. The service determines determining an exposure measurement for the building by performing simulations, over a plurality of candidate environmental parameters, of whether a simulated fire would encroach on the building. The service determines a building damage potential measurement based on the building loss factor, the exposure measurement, and an intensity measurement, and generates for display a graphical user interface showing fire risk for the building based on the building damage potential measurement.

The invention discloses a forest fire rapid identification and accurate fire point positioning method based on air-ground cooperation. Comprising the following steps: a forest fire panoramic monitoring and positioning method based on a double-axis holder, a wildfire target intelligent identification algorithm based on multi-modal image fusion analysis, and a low-power-consumption air-ground cooperative communication network oriented to forest fire monitoring. The invention relates to an unmanned aerial vehicle-based forest wildfire target maneuvering inspection and positioning method and an air-ground fusion wildfire target accurate positioning method. According to the invention, 360-degree panoramic image acquisition is realized by using the double-shaft holder, and meanwhile, a fire source position self-adaptive adjustment mechanism is provided; multi-modal image fusion analysis is adopted in the image processing layer to resist interference, blind areas are compensated, and the fire source recognition accuracy is improved; a low-power-consumption air-ground cooperative communication network is constructed, so that the cost is reduced, and flight is continued; and the monitoring limitation is broken through by means of flexible inspection of the unmanned aerial vehicle, a closed-loop system of air-ground cooperation-information complementation-intelligent verification is formed, and the monitoring stability in a complex scene is remarkably enhanced.

The invention discloses a fire spread integrated prediction method and system coupled with smoke and weather feedback effects, and the method comprises the steps: firstly estimating forest fire emission parameters in real time based on satellite remote sensing data, and converting the forest fire emission parameters into spatial-temporal dynamic emission flux which can be recognized by a numerical weather chemistry prediction model WRF-Chem; and matching with a WRF-Chem meteorological chemical grid is realized through grid interpolation. Secondly, simulating a bidirectional coupling process of smoke aerosol and a meteorological field based on WRF-Chem, and generating a dynamic meteorological field containing smoke radiation feedback; and finally, inputting the dynamic meteorological field into a weather-wildfire coupling simulation and weather research forecasting mode WRF-Fire to realize feedback effect simulation of smoke on fire spreading. According to the invention, an aerosol-dominated positive feedback chain is disclosed for the first time: fire discharge provides scientific support for disaster prevention decision-making through the synergistic effect of thermodynamic heating and radiation forcing, so that the emergency response efficiency is improved.

The invention belongs to the field of biological agriculture, and particularly relates to bacillus amyloliquefaciens as well as a fungicide and application thereof. The invention discloses bacillus amyloliquefaciens B26 which is preserved in China General Microbiological Culture Collection Center on November 6, 2024, and the preservation number is CGMCC No.32519. The strain has a broad-spectrum antibacterial effect on fungal diseases and bacterial diseases, particularly has a remarkable antagonistic effect on tobacco wildfire germs, and can be used for preparing a bacillus amyloliquefaciens strain. The bacillus amyloliquefaciens B26 is used for preventing and treating the tobacco wildfire disease, it is found that the strain has an obvious preventing and treating effect on the tobacco wildfire disease, and a fungicide of the bacillus amyloliquefaciens B26 also has a good preventing and treating effect on the tobacco wildfire disease in a pot experiment. And a new scheme is provided for plant disease prevention and treatment, especially for green prevention and treatment of tobacco wildfire.

The invention belongs to the technical field of safety early warning, and discloses a 30-60-minute emergency evacuation scheme based on influence of weather change on fire potential, which constructs early warning trigger logic based on weather mutation, dynamically regulates and controls response level and realizes linkage update of minute-level evacuation strategy. According to the method, a high-sensitivity index library of wind speed jump, humidity abrupt drop, lightning stroke ignition and the like is constructed, and the micro-scale meteorological evolution trend and field situation data are combined, so that the emergency evacuation scheme can quickly enter a forced response state 30-60 minutes before rapid expansion of a wildfire, and the effectiveness and timeliness of an evacuation decision are remarkably improved.

A system, method, and device for predicting a risk of wildfire are provided. The system includes a satellite imaging device for collecting data covering a target area and a processing server including an indices module for processing the data to generate key vegetation indices, a map generation module configured to generate weather and static maps, an analysis module configured to analyze historical wildfire data to identify past fire locations in the target area, an integration module configured to integrate the received, generated, and analyzed data to obtain a comprehensive dataset for the target area, and a risk prediction module configured to analyze the comprehensive dataset using a risk prediction model trained to predict the risk of wildfire for the targeted area, the risk prediction model including a machine-learning-based pattern detection model for receiving the comprehensive dataset as an input and generate prediction data describing a predicted risk as an output.

The invention provides a WUI division method and device based on house wildfire risks, equipment and a storage medium. The method comprises the steps that the weighted fuel level of each fuel grid in a to-be-divided area is determined; for each house in the to-be-divided area, calculating to obtain a building wildfire risk index of the house; for each fuel grid, calculating to obtain a vegetation hazard index of the fuel grid; screening out houses of which the building wildfire risk indexes are greater than a preset first threshold value from all houses of the to-be-divided area, and taking the houses as risk houses; for each risk house, screening out fuel grids of which the vegetation danger indexes are greater than a preset second threshold value from all the fuel grids falling in the buffer region corresponding to the risk house, and taking the screened fuel grids as risk fuel grids corresponding to the risk houses; and for each risk house, carrying out region merging on the risk house and the risk fuel grid corresponding to the risk house to obtain a plurality of forest-town junction regions in the to-be-divided region, and the scheme of the invention improves the accuracy of forest-town junction region division.

The invention discloses a wildfire disaster risk assessment method based on geographic spatial-temporal characteristics. The method comprises the following steps: S1, determination and acquisition of assessment elements, wherein the assessment elements comprise spatial-temporal characteristics, combustible material information, meteorological elements and human activity factors; s2, data preprocessing: cleaning, integrating and standardizing the collected evaluation elements; s3, feature extraction: extracting key features from the preprocessed spatial and temporal features, combustible information, meteorological elements and human activity factors; s4, evaluation model construction: constructing and optimizing a wildfire disaster risk evaluation model in combination with GNN and ST-GCN; s5, risk assessment: inputting the preprocessed data into an assessment model, performing wildfire risk assessment, and generating a risk assessment report according to an assessment result; and S6, early warning and emergency response: according to a risk assessment result, early warning information is sent out in time, and an emergency response plan is made.

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 butyric 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.

A fabric barrier for containing wildfires can be rapidly deployed in a location within a path of a moving wildfire slow or stop the spread of the fire. The fabric can be rolled up and then deployed by unrolling the fabric and installing support posts at intervals along a length of the barrier. Stakes may be used to secure the installation to the ground. The barrier includes an upright portion that extends above the ground and a lateral portion that is positioned adjacent to the ground. A wheeled cart can be used to unroll and deploy the barrier along a path of deployment.

A system for at least one of warning of a possible wildfire or preventing a wildfire ignition in a selected area of interest includes a processor configured to execute instructions stored on a non-transitory medium. The instructions include receiving input data related to conditions that are relevant to igniting a wildfire in the selected area of interest. The instructions also include creating a model of a possible wildfire ignition in the selected area of interest using an artificial intelligence algorithm that is trained with the input data, providing an output from the model related to the possible wildfire ignition, and transmitting an alert notification automatically in response to the output exceeding a selected threshold value. The system also includes at least one of a warning device or a wildfire ignition prevention device configured to be automatically activated in response to receiving the alert notification.

The invention discloses a wildfire monitoring method based on a multi-source time sequence remote sensing image, and relates to the technical field of remote sensing geoscience application, and the method comprises the steps: obtaining multi-source remote sensing data, constructing a time sequence waveband data set, and constructing a high-temperature thermal anomaly index through the atmospheric top reflectivity of a three-waveband spectrum; based on the high-temperature thermal anomaly index, extracting a first-level fire point pixel, a saturated pixel and a high-radiance pixel from the multi-source remote sensing data, and converting the saturated pixel and the high-radiance pixel into the first-level fire point pixel; extracting saturated pixels and high-radiance pixels from missed fire cluster cores in the multi-source remote sensing data; based on limiting conditions, building coverage area data and a high-frequency ground object mask, noise pixels in the first-level fire point pixels are removed, and second-level fire point pixels are obtained; transmitting to a local client and a cloud geographic space analysis platform, and creating a fire point list. Multi-source long-time sequence optical remote sensing data are combined, and the spatial and temporal distribution of the large-area wildfire is quickly and automatically identified.

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 glycolic 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.

Ember Armor Wildfire Protection Sprinklers offer a versatile and comprehensive defense against wildfires, easily mountable on various structures like homes, roofs, and trees with just five screws. Upon installation, it establishes a hydration bubble around the protected area, extinguishing embers and creating a wet perimeter to deter ground fires. The innovative powder-coated stainless steel and brass bracket, with a high melting point, ensures year-round durability, shedding rain and sprinkler water to safeguard the structure. The customizable bracket supports different sprinkler heads, with a filter-free option to prevent clogging. Designed for homeowner convenience, it eliminates the need for seasonal setup and features color options for aesthetic appeal. Additionally, the kit includes a firefighter alert sign, mounted at the property entrance, ensuring heightened awareness of wildfire protection measures.

There is provided networks, systems and displays for providing derived data and predictive information for use in emergencies; and in particular for use in wildfire emergencies for a EFMS having three fire suppression medium sub-systems. More particularly, there is provided systems, equipment and networks having a control system having an operation control command plan for performing an operation plan. in embodiments the operation plan can be a hydration plan, a lockout plan, a low line pressure plan, an adjacent structure based plan, an auto-activation notice with default activation plan for use with EFMS having three fire suppression medium sub-systems. In embodiments there is provided a fire retardant fire suppression medium sub-system. In embodiments there is provided three fire suppression medium sub-systems including a foam fire suppression medium sub-system, a water fire suppression medium sub-system and a fire retardant fire suppression medium sub-system. In an embodiment there is provided a parcel by parcel control and optimization of the EFMS having three fire suppression medium sub-systems for a particular area.

The application provides a WUI division method and device based on house wild fire risk, equipment and storage medium, determines the weighted fuel grade of each fuel grid in the region to be divided; for each house in the region to be divided, the building wild fire risk index of the house is calculated and obtained; for each fuel grid, the vegetation danger index of the fuel grid is calculated and obtained; from all the houses in the region to be divided, the houses with building wild fire risk index greater than a preset first threshold value are screened out as risk houses; for each risk house, from all the fuel grids falling within the buffer area corresponding to the risk house, the fuel grids with vegetation danger index greater than a preset second threshold value are screened out as risk fuel grids corresponding to the risk house; for each risk house, the risk house and the risk fuel grid corresponding to the risk house are regionally merged to obtain a plurality of forest town junction domains in the region to be divided. The scheme of the application improves the accuracy of forest town junction domain division.

A system for generation of wildfire suppression asset allocation based on wildfire-related data, including a processor of a fire analysis server (FAS) node configured to host a machine learning (ML) module and connected to at least one fire surveillance device and to at least one command-and-control entity node over a wireless network and a memory on which are stored machine-readable instructions that when executed by the processor, cause the processor to: acquire sensory data from a plurality of sensors hosted on the at least one fire surveillance device; parse the sensory data to derive a plurality of key features; acquire available fire suppression assets'-related data from a local storage; query a local fires'-related database to retrieve local historical fires'-related data related to previous fires' suppression engagements based on the plurality of the key features and available fire suppression assets'-related data; generate at least one feature vector based on the plurality of key features, the available fire suppression assets'-related data and the local historical fires'-related data; and provide the at least one feature vector to the ML module configured to generate a predictive model for producing asset allocation parameters for generation of the assets' deployment plan for the at least one least one command-and-control entity node.

The application discloses a kind of wild fire smoke cluster and its boundary vector automatic identification method, system, storage medium and electronic equipment, belong to satellite remote sensing and disaster monitoring technical field.Method includes: obtaining satellite active fire point, fire event and UVAI data;Fire source area is positioned based on fire event geographic location and initial plume pixel is marked;The spatially continuous smoke cluster connected domain is identified by iterative region growing algorithm;According to the specific distribution form of connected domain pixel in satellite pixel matrix, the accurate closed boundary vector is automatically generated using matching geometric algorithm;Finally, using multiple criteria, the spatial isolated independent smoke cluster is screened out.The application avoids the defects that traditional image method is easily disturbed by environment from physical principle, realizes fully automated processing without training data, and can output vector boundary that can be directly used for diffusion and emission evaluation, significantly improves the accuracy, automation degree and application value of wild fire smoke cluster monitoring.

A fire retardant formulation includes a first flame retardant agent consisting of corn syrup, com molasses, sorghum molasses, pomegranate molasses, carob molasses, date molasses, a waste concentrate of alcohol distilling industry, sacharinic acid, a lignosulfonate, steepwater solubles formed using a wet milling process for corn, whey, a wine-making residue, brewers' condensed solubles, desugared corn symp, desugared com molasses, desugared (brown) rice syrup, desugared maple symp, desugared sorghum molasses, desugared agave symp, desugared pomegranate molasses, desugared carob molasses, desugared date molasses and admixtures thereof exhibiting flame retardant properties, and a second agent selected from a group consisting of a flame retardant colorant, an additional flame retardant agent and mixtures thereof. A method of suppressing a wild fire or forest fire includes the step of applying an effective amount of the fire retardant formulation to (a) the wild fire, (b) the forest fire, (c) an area to be protected from the wild fire or the forest fire or (d) combinations thereof.

There is provided a networked based coordinated wildfire management system for the protection of a community of structures from a wildfire. The systems have hydration plans that provide for the minimal use of water to protect the structures for the wildfire. The hydration plans can be automated adaptive hydration plans that the control system develops to address a specific wildfire threat, and these plans are developed in real time. The systems can have sprinkler towers that are place along roadway and near structures to implement the hydration plan and protect evaluation routes. The systems provide an integrated approach to protection an entire community.

This invention discloses a method for predicting unsteady runoff response considering forest disturbance. The method includes data decomposition of the unsteady runoff sequence to obtain a basic runoff sequence and a disturbed runoff sequence; time-varying coefficient regression to obtain a basic runoff mapping function; correlation analysis and sensitivity analysis; using the correlation analysis results to correct the sensitivity analysis results to obtain optimized disturbance sensitivity; constructing a disturbed runoff prediction model; inputting the watershed characteristics and disturbance data of the watershed to be predicted into the basic runoff mapping function and the disturbed runoff prediction model respectively to obtain predicted basic runoff and predicted disturbed runoff; and superimposing these to obtain the predicted unsteady runoff. This method can quantify the disturbed runoff resulting from the interaction of wildfire disturbance, logging disturbance, vegetation adjustment disturbance, and conventional climate disturbance, and incorporates a competition-cooperative improved double cumulative curve (C-MDMC) to quantify the interaction effects between disturbances, outputting disturbed runoff prediction results. This provides a refined decision-making basis for watershed multi-scenario adaptive water resource management.

The present invention discloses a forest fire prediction method and system based on an XGBoost-AttentionBiLSTM model. The method includes: S1, constructing a forest fire prediction sample data set; S2, constructing an XGBoost-AttentionBiLSTM model and using the forest fire prediction sample data set for model training and learning; S3, an other factor data processing module extracts terrain factor data and vegetation factor data using terrain data and vegetation data, and the XGBoost layer outputs the wildfire occurrence probability through a sigmoid activation function; S4, collecting meteorological data, terrain data, and vegetation data containing spatio-temporal information at the prediction time and obtaining historical meteorological data before the prediction time, inputting them into the XGBoost-AttentionBiLSTM model, and obtaining the wildfire occurrence probability. The present invention can obtain the wildfire occurrence probability at each position point at the prediction time, and can also output the early warning wildfire points and the corresponding wildfire occurrence probabilities, which is convenient for timely preventive treatment of the early warning wildfire points.

An apparatus and method are provided for reducing methane emissions from ruminant animals by combusting methane gas extracted from the rumen. The system comprises a conduit configured to transport methane from the animal's rumen to a combustion module mounted externally or implanted partially or fully in a subdorsal position. The combustion module includes a pressure-activated valve, air intake, ignition system, and combustion chamber enclosed by a heat-absorbing roof structure. A control unit monitors internal gas pressure and triggers a spark ignition circuit when combustion conditions are satisfied. An upward-facing camera inhibits ignition if flammable obstructions are detected above the module. A water-filled thermal buffer integrated into the chamber roof moderates exhaust temperature, reducing wildfire risk. Power is supplied by a solar panel and rechargeable battery. The system intermittently converts methane into carbon dioxide and water vapor, significantly mitigating the greenhouse gas impact of enteric fermentation in ruminant livestock.

A multi-modal combustion interruption system comprises a detection subsystem configured to identify combustion events, an electromagnetic emission subsystem having pulsed energy source and directional emission structure, a control processor implementing adaptive modulation based on measured combustion response, and a safety enforcement subsystem configured to control emission activation based on presence detection. The system may be configured in various modes from baseline electromagnetic emission through enhanced configurations incorporating optional ionization enhancement, particle generation, and acoustic energy subsystems. Adaptive modulation enables parameter selection based on measured combustion response rather than predetermined values. The modular architecture enables configuration selection based on deployment type and application requirements. Fixed installations may utilize grid power for industrial facility protection. Mobile platforms may employ onboard power for emergency response or wildfire intervention. Configuration selection may consider environmental compatibility including omission of particle generation for water-sensitive equipment environments or incorporation of multiple enhancement subsystems for demanding applications.