The invention provides an efficient forest fire warning system which includes a first information collection unit, a second information collection unit, an analysis unit and a warning unit. The firstinformation collection unit is used for collecting different remote sensing source images of a forest, fusing the different source images and transmitting the fused image to the analysis unit. The second information collection unit is used for collecting a temperature signal and a video signal in the forest and transmitting the collected signals to the analysis unit. The analysis unit is used foranalyzing the possibility of fire in the forest according to the fused image and the collected signals. The warning unit is used for sending out a forest fire warning according to the analysis result.The beneficial effect is that accurate warning for forest fire is realized, and the level of forest fire prevention is enhanced.

Efficient forest fire warning system

The invention discloses a fire recognition method based on flame detection in a night vision scene. The fire recognition method comprises the steps of: step 1, acquiring an image sequence of a monitored scene by means of a monitoring camera with a night vision function; step 2, subjecting each frame of the acquired images to luminance segmentation, and carrying out background modeling and motion detection on the acquired image sequence; step 3, performing logic screening on an alternative flame region to find sporadic bright spots on the periphery of large-area bright spots, and filtering out interference noise of the sporadic bright spots; step 4, calculating cumulative distribution on a timeline, and forming a cumulative distribution probability image of the bright spots; step 5, carrying out binarization and clustering operation on the obtained cumulative distribution probability image in space, and filtering out clusters with probability less than 50%; step 6, extracting features of each of the rest clusters, and performing randomness detection on the timeline; step 7, and judging whether a fire occurs in the monitored scene. The fire recognition method overcomes the problem of high false alarm rate since the night fire detection method is susceptible to interference in the prior art.

Fire recognition method based on flame detection in night vision scene

The invention discloses a power transmission line channel wildfire control method and system based on satellite non-detection zones and belongs to the technical field of power transmission line safety. The method comprises the steps as follows: S1, acquiring an image signal of the periphery of a power transmission line; S2, performing data modeling on the image signal to generate a fire module, and performing image recognition, entering S3 when the recognized image signal has the fire situation, and deleting the fire model and returning to S1 when the recognized image signal has no fire situation; S3, adding time dimension on the fire model to obtain real-time dynamic information of the fire; S4, judging the effect grade of the fire situation on the power transmission line and giving an alarm. The problem that fires cannot be discovered timely and accurately due to satellite non-detection zones is solved, the disaster early warning efficiency is improved, and technical guarantee is provided for further disaster emergency handling.

Power transmission line channel wildfire control method and system based on satellite non-detection zones

The invention discloses a near-real-time fire hazard propagation velocity estimation method based on a geosynchronous orbit satellite and belongs to the technical field of remote sensation. The methodcomprises the following steps: firstly, extracting fire points monitored by geosynchronous orbit satellite images, and carrying out calculation and vectorization processing so as to obtain fire pointarea vector data; performing fire point mass center extraction by taking the area of each fire hazard image element as a weight so as to obtain geological position data of a fire point mass center; finally calculating a fire hazard propagation velocity according to movement of the fire point mass center. By adopting the method, the fire hazard propagation velocity accuracy and time resolution canbe improved, and fire hazard rescue and prevention can be instructed. Compared with a conventional method of field observation, experience statistics and physical models for estimating fire hazard propagation velocities, the method disclosed by the invention is simple and feasible, the data acquisition cost can be lowered, meanwhile the defects that the conventional estimation method is poor in universality and poor in applicability can be avoided.

Near-real-time fire hazard propagation velocity estimation method based on geosynchronous orbit satellite

The invention relates to a big data processing-based fire monitoring and alarming and escape instruction integrated system; the system comprises a monitoring subsystem, an alarm subsystem, an escape instruction subsystem and data acquisition equipment, wherein the monitoring subsystem monitors disaster situation information and is in communication connection with the data acquisition equipment; the data acquisition equipment acquires real-time disaster situation data and is in communication connection with the alarm subsystem and the escape instruction subsystem separately; the alarm subsystemis in communication connection with the escape instruction subsystem; the data acquisition equipment collects the real-time disaster situation data; and the alarm subsystem is used for determining the current disaster situation state according to the real-time disaster situation data, and when the disaster occurs, the alarm subsystem gives an alarm and triggers the escape instruction subsystem tocarry out escape instructions. Compared with the prior art, the invention provides the fire integrated monitoring and alarming and escape instruction system. The fire monitoring data is complete, thepossibility of disaster situation misjudgment is reduced through big data processing, meanwhile, the escape instruction is carried out when a disaster occurs, and the escape probability is increased.

Big data processing-based fire monitoring alarming and escape instruction integrated system

The utility model relates to a forest fire remote monitoring system based on satellite remote sensing image, include: disaster surveillance module, disaster prediction model, a central processing unit and alarm center, disaster surveillance module and disaster prediction model all are connected with a central processing unit information, a central processing unit and alarm centre information are connected. The utility model discloses the novel forest fire remote monitoring system based on satellite remote sensing image who provides can be based on live monitoring in forest zone and forest fire early warning model, and the multiple real -time conditions such as thermal imagery, temperature and humidity in combination forest zone are made pointed references and are carried out the forest fire early warning, simultaneously, also can in time judge conflagration position and degree when the conflagration is taken place to the forest to it prepares fire control work to make the fire fighter make pointed references.

Forest fire remote monitoring system based on satellite remote sensing image

The utility model provides a grassland fire monitoring early warning device based on satellite remote sensing image relates to the fire monitoring early warning technology field, has solved the problem that can't accurately and timely carry out the early warning among the prior art to the grassland conflagration It includes data collection station, central processing unit, fire monitoring ware, fire alarm ware and historical data memory, and data collection station includes the remote sensing picture collector, the remote sensing picture collector is connected with central processing unit, fire monitoring ware, fire alarm ware in proper order, historical data memory and central processing unit interconnect This grassland fire monitoring early warning device can chronically obtain high -resolution grassland remote sensing picture, is favorable to the succour personnel of conflagration to formulate the most effectual succour scheme according to monitoring results The utility model discloses a grassland fire monitoring early warning device based on satellite remote sensing image is used for the monitoring and the early warning of grassland conflagration

Wang Xiaosong

Papers

Forest fire remote monitoring system based on satellite remote sensing image

Grassland fire monitoring early warning device based on satellite remote sensing image