Abstract:
The present disclosure discloses a fire disaster monitoring method and apparatus. The method includes: obtaining an infrared image that is obtained through photoshooting a to-be-monitored area by an infrared detection apparatus located on an aerostat, where different colors displayed in the infrared image correspond to different temperatures; determining, according to the colors displayed in the infrared image, whether a difference between temperatures corresponding to adjacent areas in the infrared image is greater than a predetermined threshold; and if it is determined that the difference between the temperatures corresponding to the adjacent areas is greater than the predetermined threshold, sending fire disaster alarm information to a receiving device, where the fire disaster alarm information is used to indicate that a fire disaster occurs in the to-be-monitored area. The present disclosure resolves a technical problem of relatively low monitoring accuracy caused because a prior-art fire disaster monitoring method is used.
Abstract:
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.
Abstract:
The invention relates to the forest video monitoring. A method and system are provided for automatically binding a video camera to the absolute coordinate system and determining changes in the video camera binding. In one aspect, the method comprises the steps of: in each of at least two predetermined time moments, aiming the video camera at an object a position of which in the absolute coordinate system centered in a point in which the video camera resides is known at said moment, and determining an orientation of the video camera in a native coordinate system of the video camera; and, based on the determined orientations of the video camera and positions of the object, calculating a rotation of the native coordinate system of the video camera in the absolute coordinate system. The calculated rotation of the video camera's native coordinate system is used to recalculate coordinates of an observed object from the video camera's native coordinate system into the absolute coordinate system. The technical result relates to the improved accuracy of locating the observed object.
Abstract:
A forest fire early-warning system based on infrared thermal imaging technology includes an infrared camera erected in a forest to capture infrared thermal images of an area being monitored. The camera includes a frontal temperature detection and alarm module for calculating the alarm temperature value by using a temperature monitoring mathematical model, and for transmitting an excessive temperature alarm signal when there are abnormalities in said area. A video conversion device connected to the infrared camera converts an infrared thermal image analog signal outputted by the camera into an infrared digital signal, and receives from the camera said alarm signal and converts same into a digital signal. A monitoring computer generates and transmits an infrared camera control signal, and processes the infrared digital signal to ascertain the location in the monitoring area that triggered the infrared camera alarm.
Abstract:
Distributed sensing is provided. A first node of a plurality of nodes receives a fire status message from a second node of the plurality of nodes. The fire status message indicates a determination by the second node that an environmental condition exceeds a predetermined threshold. Each node of the plurality of nodes is a computing device. The first node estimates an arrival time of a fire based, at least in part, on the fire status message and a geographic location of the second node. The arrival time is a time until the fire arrives at a predetermined geographic location.
Abstract:
The invention is generally attributed to the sphere of video surveillance and, more specifically, to a method of determining an optimal configuration of a forest video monitoring system, comprising a plurality of video monitoring points, each of said points comprising a video camera in a tall structure. A plurality of parameters related to characteristics of monitoring points and characteristics of the territory of their placement are accumulated. Characteristics of the territory comprise landscape characteristics, weather data and forest fire data. Some of the parameters attributed to characteristics of monitoring points are controllable. A system performance criterion is set, being an integral quantity described by a probabilistic model generalizing at least a portion of the parameters. Options of placement of monitoring points are searched through based on a plurality of available positions at the territory by determining an optimal set of parameters optimizing the performance criterion for the determined placement of monitoring points, wherein the performance criterion is calculated by varying the controllable parameters. The optimal configuration of the system is determined by comparing the produced options of placement of monitoring points, for which optimal sets of parameters are determined, and selecting the placement option with the best value of the performance criterion. The invention ensures creation of a method that permits generating precise data for assessment of efficiency of implementation and operation of the forest video monitoring system based on publicly available data and determining an optimal configuration of the system based on such assessment.
Abstract:
This invention refers to forest video monitoring. A distributed system for forest video monitoring and a method for fire detection implemented by it have been proposed. The system comprises: multiple video servers, with each video server maintaining at least one video camera; at least one object server; and multiple computer terminals. According to the method, such a video server is used to: receive video data from its video camera; analyze the video data in order to detect signs of fire; when detecting signs of fire, create a potentially hazardous data object related to the possible fire detected, with reference to the video data where signs of fire have been detected; and send the data object created to an object server. By means of any object server: the potentially hazardous data object shall be received; the potentially hazardous data object received shall be compared to potentially hazardous data object previously saved; based on results of comparison, the potentially hazardous data object received shall be saved at least once, at least one potentially hazardous data object previously saved shall be modified, and the potentially hazardous data object received shall be modified; and at least one potentially hazardous data object shall be sent to a computer terminal. By means of a computer terminal: any potentially hazardous data objects shall be received and submitted to the operator. The technical result involves arranging efficient data traffic and ensuring flexible management of computational resources.
Abstract:
Detecting an extreme temperature event. A method includes collecting raw data from a high resolution sensor. The method further includes identifying in the raw collected data one or more changing data point values. The method further includes identifying, in the raw collected data that the one or more changing data point values have reached a determined threshold that indicates with a high level of probability that an extreme temperature event has occurred. Alternatively, the method may include identifying in the raw collected data a sudden extreme increase in one or more data point values that cross a threshold which indicates with a high level of probability that an extreme temperature event has occurred. As a result, the method includes issuing an alert indicating that an extreme temperature event has occurred.
Abstract:
A method and apparatus for managing fires. A computer system is configured to receive fire related information from at least a first portion of a plurality of assets and analyze the fire-related information to generate a result. The computer system is configured to coordinate an operation of a second portion of the plurality of assets using the result.
Abstract:
The present invention relates to a system for detection of forest fires, based on the chemical analysis of the atmosphere through optic spectroscopy. The smoke originated from a fire has a chemical composition different from that of a normal atmosphere. This chemical composition is determined by the analysis of light absorption, which passes through the smoke, in its different wavelengths, carried out by a spectrometer. In this case, the spectrometer is associated to a telescope and solar light is used as the light source allowing the detection of smoke originated from a fire in a specific area of the horizon. The maximum distance from which the smoke can be detected depends only on the potency of the telescope and may be of many kilometers. The installation of the system on a rotating support and the use of computational logarithms makes the detection in any point of the horizon possible, a completely autonomous way.