Detection and early warning method of smoke

Abstract

The invention relates to a detection and early warning method of smoke, which comprises the following steps of: collecting a monitoring video by utilizing the vision of a computer at real time; scanning the video by using a window with variable size according to a rule along an X axis, a Y axis and a time axis T to obtain subimage sequences; carrying out characteristic analysis and extraction on the subimage sequences by utilizing pattern recognition and signal processing and adopting characteristics to reflect spatial distribution, time distribution and frequency characteristics; carrying out pattern classification on each subimage sequence by adopting statistical analysis and determining whether a fire occurs in positions corresponding to the subimage sequence or not; and carrying out region merging and eliminating operation on the detection results of all the subimage sequences to obtain the detection result of the space of the entire visual field and giving out the results of the position, the size, the reliability and the like of fire detection; and when the method is applied, the method is divided into a scene and smoke pattern characteristic training and learning stage and a real-time running detection and warning stage. Different characteristics of the smoke are automatically recognised by a wide-angle detection and interference algorithm, the fire detection is accurately finished at real time, and warning information is sent out in time.

Description

technical field [0001] The invention relates to the fields of computer vision, signal processing and pattern recognition, in particular to a smoke detection and early warning method based on computer vision. Background technique [0002] For a long time, early fire smoke detection in tall spaces or places with high-speed airflow, especially in outdoor scenes such as stockyards and forests, has been a difficult problem worldwide. Because in this type of environment, there are many factors that affect fire detection, mainly including: detection method, space height, heat barrier, coverage, air velocity, explosive / toxic gas, acceptable false alarm rate, alarm information management And remote signal transmission and so on. Traditional detection methods often lose their effectiveness in such an environment. In this case, since the image-based fire detection technology has the characteristics of non-contact detection for fire detection, it is not limited by the space height, th...

AI Technical Summary

Problems solved by technology

Its disadvantages are: the price of the product is high, and the formation of the algorithm is completed in the form of an algorithm function module designed to remove a special interference source in the video surveillance environment through cumulative addition, resulting in disorder and complexity of each part of the algorithm, and Before the system runs, it needs to adjust a large number of parameters according to the specific application scenarios.

Limited by the detection principle, traditional smoke detectors often need to be very close to the smoke source to complete the detection, and cannot provide specific information such as the location, size, and degree of combustion of the fire. In the fire monitoring system of special occasions

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