Fire and fire detection method and detection system in forest area based on fusion of infrared and visible light video
A technology of smoke and fire detection and video fusion, which is applied to forest fire alarms, fire alarms, character and pattern recognition, etc., can solve the problems of complicated work, high cost, and low detection accuracy of forest blind spots, and achieve background noise Small size, rich data information, and clear target boundaries
Active Publication Date: 2020-03-20
BEIJING FORESTRY UNIVERSITY +1
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[0003] Traditional forest fire monitoring technology is mainly realized through the combination of electronic equipment and labor. The method of ground manpower and aircraft cruising monitoring is not only expensive, but also quite complicated, especially for the detection of forest blind areas. The detection accuracy is very low. With the rapid development of computer technology and image analysis technology, it is possible to accurately monitor fires by using video image information, so that the fire detection method can be imaged and intelligentized.
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[0067] The following will clearly and completely describe the technical solutions in the embodiments of the present invention with reference to the accompanying drawings in the embodiments of the present invention. Obviously, the described embodiments are only some, not all, embodiments of the present invention. Based on the embodiments of the present invention, all other embodiments obtained by persons of ordinary skill in the art without making creative efforts belong to the protection scope of the present invention.
[0068] see figure 1 , is the topological diagram of the smoke and fire detection system in the forest area of the present invention. First, the monitoring center will set up multiple cameras at different locations in the forest area to monitor the forest area, and the distribution and orientation data of the bottom cameras are all stored in the monitoring center. The camera collects infrared video images and visible light video images of the forest area in ...
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The present invention provides a fire detection method in forest area based on the fusion of infrared and visible light video, including S1: separately collecting and storing infrared video images and visible light video images in forest areas; S2: using an improved fractional order differential method to analyze the infrared video The image is fused with the visible light video image to obtain a fused image; S3: calculate the fused image to determine a specific forest fire area. At the same time, the present invention also proposes a smoke and fire detection system in forest areas, including: a data acquisition module, including an infrared acquisition sub-module and a visible light acquisition sub-module, which are respectively used to collect and store infrared video images and visible light video images in forest areas; an image fusion module The infrared video image and the visible light video image are fused by using an improved fractional differential method to obtain a fused image; the fire detection module calculates the fused image to determine a specific forest fire area.
Description
technical field [0001] The invention relates to the technical field of forest protection and monitoring, in particular to a method for detecting smoke and fire in forest areas capable of quickly and accurately locating forest fires and a detection system thereof. Background technique [0002] Forest fire has become a global problem at present. In order to reduce the loss of forest fire, countries all over the world attach great importance to the research of forest fire detection technology. Improving forest fire detection technology is the premise of doing a good job in fire prevention. [0003] Traditional forest fire monitoring technology is mainly realized through the combination of electronic equipment and labor. The method of ground manpower and aircraft cruising monitoring is not only expensive, but also quite complicated, especially for the detection of forest blind areas. The detection accuracy is very low. With the rapid development of computer technology and image ...
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IPC IPC(8): G06K9/00
CPCG08B17/005G08B17/125G06V20/38G06V20/46G06V10/30G06F18/25
Inventor 刘文萍仲亭玉刘鹏举杨刚
Owner BEIJING FORESTRY UNIVERSITY