Forest fire early warning system based on video images

Abstract

Provided in the invention is a forest fire early warning system based on video images. The system comprises a video acquisition module, an edge calculation module, a cloud server, an early warning module and a communication module. The video acquisition module is directly connected with the edge calculation module, and an analysis result of the edge calculation module is sent to the early warningmodule and the cloud server. The video acquisition module is used for acquiring a monitoring video image of a forest region; the edge calculation module is used for storing and analyzing video images,and an edge computer of the forest monitoring station executes a fire detection algorithm; the cloud server is used for querying a monitoring video, storing a fire behavior video image, configuring afire detection algorithm to the edge computer of the forest monitoring station, and providing a fire detection algorithm development platform and fire behavior map visualization; and the early warning module is used for carrying out real-time early warning on the fire, and comprises three levels of forest area early warning, forest monitoring station early warning and cloud server early warning.According to the invention, the real-time performance of algorithm detection is improved, and idle computer resources of the forest monitoring station are utilized.

Description

technical field [0001] The invention relates to a forest fire early warning system based on video images, belonging to the field of forest fire prevention. Background technique [0002] Forest fires destroy a large number of forest resources every year, not only causing huge economic losses, but also seriously threatening the lives of surrounding residents. The detection and early warning of forest fire is beneficial to reduce the loss of forest resources, people and property caused by fire. Fire detection technology based on video images has the characteristics of large monitoring range, easy deployment, high real-time performance and low false alarm rate, and has been widely used in forest fire early warning systems. The existing forest fire early warning system based on video image has the following disadvantages: 1. The video image needs to be transmitted to the cloud server for algorithm analysis, and the real-time performance is insufficient; 2. The computing resource...

AI Technical Summary

Problems solved by technology

The existing forest fire early warning system based on video image has the following disadvantages: 1. The video image needs to be transmitted to the cloud server for algorithm analysis, and the real-time performance is insufficient; 2. The computing resources of the edge computer of the forest monitoring station are idle, and the cloud server is excessively used Computing resources; 3. The forest fire detection algorithm used by the system is difficult to optimize or update

These shortcomings make the forest fire early warning system based on video images insufficient in practicability

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