G08B17/005

SYSTEM AND METHOD FOR DETECTING HIGH-RISK LIGHTNING STRIKES FOR USE IN PREDICTING AND IDENTIFYING WILDFIRE IGNITION LOCATIONS
20230011424 · 2023-01-12 ·

A system and method for detecting in real-time high risk lightning (HRL) strikes and sending out alerts to responsible personnel to allow for earlier responses to lightning caused fire ignitions to help maintain and/or reduce the chance of spread by the wildfire. The system and method allow for HRL events and fire ignitions to be detected preferably within seconds. The system and method can use a network of detectors, data from environmental satellites and/or other environmental data sources, and novel AI/algorithms for signal processing to relatively quickly locate fire ignition spots. Thus, the system and method provide for actionable wildfire intelligence in real-time and to relatively quickly and accurately send out alerts when an HRL event has been determined. Cameras and drones can be used to provide real-time visualization at the location of the HRL event to verify or monitor any fire ignition or smoldering at the area of the HRL event.

WILDFIRE IDENTIFICATION IN IMAGERY
20230011668 · 2023-01-12 ·

Methods, systems, and apparatus, including computer programs encoded on computer storage media, for identifying wildfire in satellite imagery. In some implementations, a server obtains a satellite image of a geographic region and a date corresponding to when the satellite image was generated. The server determines a number of pixels in the satellite image that are indicated as on fire. The server obtains satellite imagery of the geographic region from before the date. The server generates a statistical distribution from the satellite imagery. The server determines a likelihood that the satellite image illustrates fire based on a comparison of the determined number of pixels in the satellite image that are indicated as on fire to the generated statistical distribution. The server can compare the determined likelihood to a threshold. In response to comparing the determined likelihood to the threshold, the server provides an indication that the satellite image illustrates fire.

COMMUNITY OUTDOOR FIRE DEFENSE
20230211194 · 2023-07-06 ·

A system and methods are provided for community outdoor fire protection comprising: receiving indicators of a current fire, and responsively determining a level of the current fire risk for each of multiple endpoints of a shared water supply; determining a relative duty cycle for operating each endpoint according to a fire risk; receiving a water pressure measurement of the shared water source and determining a maximum number of concurrent endpoints to operate; accordingly allocating operation of each endpoint to a set of time slots; and activating the multiple endpoints to turn on respective water flows according to the time slot allocation.

TEMPORAL BOUNDS OF WILDFIRES
20220405908 · 2022-12-22 ·

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.

Methods and systems for fire detection

In accordance with various aspects of the present disclosure, methods and systems for fire detection are disclosed. In some embodiments, a method for fire detection includes: acquiring data related to a monitored area, wherein the data comprises image data related to the monitored area; determining, based on the acquired data, whether a first mode or a second mode is to be executed for fire detection, wherein the first mode comprises a first smoke detection, and the second mode comprises a first flame detection; and executing, by a hardware processor, at least one of the first mode or the second mode based on a result of the determination.

Fire warning system and devices

Various embodiments include a fire detection system (FDS) device and methods for operating an FDS device to detect a potential fire and communicate information regarding fire detection events to a central fire detection system via a wireless communication network. Various embodiments include receiving information from one or more sensors configured to detect an indication of a possible fire, determining whether information received from the one or more sensors satisfy one or more threshold criteria indicative of a fire event, generating a fire warning message comprising a fire alarm object in response to determining that the information received from the one or more sensors satisfy one or more threshold criteria indicative of a fire event, and sending the generated fire warning message to a remote server via a communication network.

GENERATING HIGH RESOLUTION FIRE DISTRIBUTION MAPS USING GENERATIVE ADVERSARIAL NETWORKS
20220366533 · 2022-11-17 ·

Methods, systems, and apparatus, including computer programs encoded on computer storage media, for generating high-resolution fire distribution maps. In some implementations, a computer-implemented system obtains a low-resolution distribution map indicating fire distribution of an area with fire burning and a reference map indicating features of the same area. The system processes the low-resolution distribution map and the reference map using a generator neural network to generate output data including a high-resolution synthesized distribution map indicating fire distribution of the area. The generator neural network is trained, based on a plurality of training examples, with a discriminator neural network that outputs a prediction of whether an input to the discriminator neural network is a real distribution map or a synthesized distribution map.

SMART FIRE-EXTINGUISHING DEVICE AND SMART FIRE-EXTINGUISHING SYSTEM INCLUDING SAME
20220355147 · 2022-11-10 ·

The present invention relates to: a smart fire-extinguishing device for automatically performing a fire-extinguishing operation by detecting the outbreak of a fire; and a smart fire-extinguishing system including same, and provides a smart fire-extinguishing device comprising: a chemical storage part in which fire-extinguishing chemicals are filled; a fuse part for exhibiting explosive force so that the fire-extinguishing chemicals of the chemical storage part are jetted to the outside; and a fire detection part, which detects at least one from among temperature, flames and smoke, compares a detection result with a pre-set fire outbreak reference value so as to determine whether a fire breaks out, and operates the fuse part according to a determination result so as to jet out the fire-extinguishing chemicals.

LORAWAN GATEWAY NETWORK AND METHOD

The invention relates to a method for communication in a LoRaWAN mesh gateway network, wherein the LoRaWAN mesh gateway network has a plurality of end devices, a plurality of gateways and a network server. Here, one of the gateways performs server functions of the communication method that are intended for the network server (NS) according to the LoRaWAN protocol.

METHOD AND SYSTEM FOR EMERGENCY RESPONSES BY EVALUATING MEDIA DATA

A method and system for emergency responses can evaluate media data. An appropriate authority device or system can analyze media data such as a picture provided by an eyewitness' device to determine whether emergency relevant objects are visible in the media data and assigns confidence values to them. Furthermore, the location of the objects and the location of the media data can be determined to verify the authenticity of the possible emergency and to respond with the appropriate emergency response.