Real-time detection method and system for early fire smoke

Abstract

The invention belongs to the technical field of fire monitoring and alarming, and particularly relates to a real-time detection method and a system for early fire smoke, which has the advantages thatthe operation is simple, the detection speed is quick, and influences of non-smoke interference can be effectively removed. The real-time detection method for early fire smoke in the adopted technicalscheme comprises steps: the total frame number of a to-be-detected video image is calculated, and the to-be-detected video image is converted to a grayscale video image; the current frame of the video is read, the moving foreground of the grayscale video image is detected, and the first frame of image of the grayscale video image is used as a background image; the background image and the movingforeground fgmask are subjected to product operation; the current frame and the moving foreground are subjected to product operation; the frame difference value of the video is calculated; and a detection period is selected to use a least square method to fit the absolute value of a change rate k, and smoke alarming signals are judged.

Description

technical field [0001] The invention belongs to the technical field of fire monitoring and alarming, and in particular relates to a real-time detection method and system for early fire smoke. Background technique [0002] The danger of fire is self-evident. Regardless of whether it is a city or a forest, once a fire breaks out, the losses caused are inestimable. In order to reduce the losses caused by fires, it is very important to detect fires in time and issue an alarm in the early control of fires. . [0003] Traditional smoke detection generally uses temperature sensing, smoke sensing, photometric sensing, odor sensing, etc. to detect special particles, unique gases, and temperature changes in the smoke; such as a smoke detector, its working process is: the smoke detector It is installed near the target object, and the detector needs to be triggered after the smoke arrives. Since the early smoke diffusion rate is usually slow, it takes a long time to reach the detector,...

AI Technical Summary

Problems solved by technology

[0005] Combining the current mainstream methods of smoke detection, it can be roughly divided into three steps: moving target detection, feature extraction and recognition. These methods are easily affected by environmental factors, have poor adaptability, and complex calculations, which are difficult to apply to real-time video fire monitoring systems. In addition, the insurmountable defect in the above-mentioned methods is that it is easily affected by non-smog disturbances such as pedestrians and automobiles in the video screen, resulting in misjudgment (higher false alarm rate), especially in complex outdoor environments. The rate of return remains high and it is difficult to be practical

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