Straw incineration monitoring method and device based on monitoring video

Abstract

The invention discloses a straw incineration monitoring method based on a monitoring video. The method is based on the real-time and easy-to-acquire monitoring video, and utilizes a video image processing technology and a pattern identification technology to analyze and process the video image. A straw incineration incident in a video monitoring area is intelligently identified, and an alarm is given. The method provided by the invention has the advantages that a classifier is trained; a down sampling pre-processing method is used to overcome the problem of imbalanced positive and negative samples; the classifier is used to preliminarily identify the straw incineration incident; and the color gradient magnitude value which reflects smoke image gradation edge information is used to correct the preliminary identification result of the classifier, so as to acquire a more accurate monitoring result. The invention further discloses a straw incineration monitoring device based on the monitoring video. Compared with the prior art, the method and device have the advantages that the monitoring video is used to carry out full intelligent monitoring on straw incineration, and have the characteristics of more accurate monitoring result and better instantaneity.

Description

technical field [0001] The invention relates to the technical field of video image intelligent recognition, in particular to a method and device for monitoring straw burning based on monitoring video. Background technique [0002] In recent years, crop straw has become a new source of rural non-point source pollution. Every year during summer harvest and autumn and winter, a large amount of wheat, corn and other stalks are always burned in the fields, producing a lot of thick smoke, which not only becomes the bottleneck of rural environmental protection, but even becomes the chief culprit that affects the urban environment. One of the possible causes of the much-maligned smog is straw burning. Therefore, management departments at all levels and environmental protection units have become increasingly urgent to prevent straw burning. [0003] At present, for the application scenarios of straw combustion prevention, the common method is to analyze and process through satellit...

AI Technical Summary

Problems solved by technology

However, due to the different characteristics of the usage scenarios, these technologies cannot be applied to the intelligent monitoring of straw burning

For example, a Chinese patent application (Application No. CN201410043121, titled "A Method for Mountain Fire Image Recognition of Transmission Line Tower Image Monitoring System") discloses a method for mountain fire image recognition of transmission line tower image monitoring system. The invention adopts color feature threshold and Otsu image segmentation method to extract flame area, uses wavelet transform to extract smoke fuzzy features, and uses another set of color feature thresholds for analysis; since wildfires are prone to dry weather, this invention needs to use humidity monitoring data Auxiliary judgment is made; field straw burning monitoring cannot obtain these auxiliary monitoring data, and in almost any weather conditions, someone may secretly burn straw, and the fixed color feature threshold parameter is obviously not applicable

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