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. More particularly, there is provided systems, equipment and networks for the monitoring and collecting of raw data regarding fire emergencies, both real time and historic. In embodiments, this raw data is then analyzed to provide derived data, predictive data, virtual data, and combinations and variations of this data, which depending upon the nature of this data may be packaged, distributed, displayed and used in various setting and applications to mitigate, avoid and manage the emergency, including a wildfire emergency.

A fire detector is disclosed that successively images a particular area from geosynchronous Earth orbit satellite to attain very good signal-to-noise ratios against Poisson fluctuations within one second. Differences between such images allow for the automatic detection of small fires greater than 12 square meters. Imaging typically takes place in transparent bands of the infrared spectrum, thereby rendering smoke from the fire and light clouds somewhat transparent. Several algorithms are disclosed that can help reduce false fire alarms, and their efficiencies are shown. Early fire detection and response would be of great value in the United States and other nations, as wild land fires destroy property and lives and contribute around five percent of the US global carbon dioxide contribution. Such apparatus would incorporate modern imaging detectors, software, and algorithms able to detect heat from early and small fires, and yield detection times on a scale of minutes.

A dispatch system includes an unmanned aerial vehicle (UAV) interface for interfacing with one or more UAVs for wildfire detection. The UAV interface transmits an instruction for a UAV to navigate to a location of a potential wildfire, and receives data captured by at least one sensor of the UAV. The dispatch system further includes a fire detection engine to process the received data to identify the presence of a wildfire, and a web server to provide a user interface that includes an alert regarding the wildfire. The alert may include the location of the wildfire.

A portable weather station, including an lower body portion; an upper body portion disposed on the lower body portion in a spaced apart relationship thereby forming an open channel between the upper body portion and the lower body portion; and a plurality of weather condition sensors wherein a first set of one or more of the plurality of weather condition sensors is mounted on the upper body portion of the portable weather station and a second set of one or more of the plurality of weather condition sensors is mounted on the lower body portion of the portable weather station.

A gas leakage treatment method includes detecting a target gas concentration of a target gas in an environment at a corresponding position of a gas delivery pipeline in a process of moving along the gas delivery pipeline. The method further includes, if the target gas concentration is greater than a preset concentration threshold, determining that gas leakage occurs and performing a gas leakage treatment operation.

An artificial neural network may be configured to test the impact of certain input parameters. To improve testing efficiency and to avoid test runs that may not alter system performance, the effect of input parameters on neurons or groups of neurons may be determined to classify the neurons into groups based on the impact of certain parameters on those groups. Groups may be ordered serially and/or in parallel based on the interconnected nature of the groups and whether the output of neurons in one group may affect the operation of another. Parameters not affecting group performance may be pruned as inputs to that particular group prior to running system tests, thereby conserving processing resources during testing.

Embodiments of the present invention are related to an automated structure and curtilage protection system including a mechanical system hub, a piped network, a plurality of spray nozzles, and a remote user control portal. The mechanical system hub includes at least one of a control center, a pump, a pressure tank, a plurality of controllable valves, and a chemical injector assembly. The system is structured to autonomously take system action depending on a hierarchy of preprogrammed threat levels. The system is also structured to autonomously deliver water at set time intervals onto a structure and curtilage when instruction sets corresponding to relative threat levels have been activated. The system is further structured to autonomously deliver chemically infused water solely onto a structure's curtilage for a set time interval when instruction sets corresponding to a relative threat level have been activated.

Provided is a disaster management system including a plurality of fire receivers configured to receive fire data including sensing data and event data from a plurality of fire-fighting facilities and configure the fire data as fire data having different data structures and a disaster information management server configured to configure the fire data having different data structures received from the plurality of fire receivers as standardized standard data and transmit the configured standard data to an external server.

Aspects of the disclosure provide for a computer-implemented method. In at least some examples, the method includes receiving one or more piece of historical data associated with one or more occurrences of wildfires, training a machine learning model according to the received one or more historical data, receiving one or more piece of substantially real-time data associated with a region of interest, and processing the received one or more piece of substantially real-time data using the machine learning model to determine the probability of the wildfire occurring.

A device for characterizing a fire comprises at least one stereovision system and at least one processing unit. The at least one stereo vision system comprises a first and a second image capture unit. The at least one processing unit is configured to determine at least one geometric characteristic of the fire. The processing unit is also configured to determine a radiative flux of this fire on the basis of a calibrated linear relationship established between a radiative flux of a reference fire as a function of at least one of the geometric characteristics of the fire and of at least one fire category in order to be able to determine zones exposed to a radiative flux that exceeds a reference threshold. The present disclosure also relates to a method for determining radiative fluxes that implements such a fire characterizing device.