A method for monitoring and early warning of luminous target video mass fog

Abstract

The invention discloses a video fog monitoring and early warning method for a light-emitting target object. A plurality of cameras are arranged, and constant bright light-emitting bodies are respectively set at a distance of 50m, 100m, and 200m from a single camera, and the video images of the constant light-emitting bodies are captured. Take a screenshot, take a screenshot of the rectangular frame area centered by the constant illuminant in the video screenshot as the light domain feature picture, and determine three characteristic rectangular ring areas from the center point of the rectangular frame area to the surroundings, according to the brightness difference and standard deviation of the constant illuminant , ring standard difference, heart ring difference and horizontal visibility linear regression model, to obtain the average horizontal visibility between the camera and the constant illuminant at 50m, 100m, and 200m; according to the obtained average horizontal visibility value, determine the position of the camera cloud fog warning level. The method for monitoring and early warning of cloudy fog with video of luminescent objects of the present invention can effectively monitor cloudy weather, reduce traffic accidents caused by road cloudy, and effectively promote the implementation of relevant standards for cloudy classification and early warning.

Description

technical field [0001] The invention relates to the technical field of meteorological monitoring, in particular to a video mass fog monitoring and early warning method for luminous targets. Background technique [0002] The fog is usually generated in the medium and small-scale circulation system and distributed in clusters. The coverage of the highway fog is relatively small, often less than 5 kilometers. The horizontal visibility in the fog is very low, and the visibility is less than 200 meters. The fog mass on the expressway has been recognized as a "mobile killer", which often causes major traffic accidents, and the accident fatality rate is higher than other traffic accidents. Compared with other fogs, mass fog has the characteristics of locality, small scope, suddenness, and easy flow, which has a great impact on the timeliness and accuracy of monitoring and early warning. [0003] Domestic research started late and developed rapidly, which can be roughly classified ...

AI Technical Summary

Problems solved by technology

Some studies have been transformed into experimental products, such as the monitoring of visibility based on the digital camera visibility system and its comparative experiments. Two groups of target black bodies and target light source units with different distances on a straight line are photographed and the visibility is calculated based on the relationship between visibility and extinction coefficient. , the light source conditions are very harsh, and the observation value in the early morning and evening is not stable enough, it is difficult to apply it all day long, and it is impossible to issue an early warning in time

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