Luminous target object video agglomerate fog visibility monitoring method

Abstract

The invention discloses a luminous target object video agglomerate fog visibility monitoring method, which comprises the following steps of: setting a plurality of cameras, respectively setting normally-on constant luminous bodies at the positions which are 50m, 100m and 200m away from a single camera, and capturing a rectangular square frame area screenshot in the middle of the constant luminous bodies in a video screenshot as an optical domain characteristic picture. Three characteristic rectangular ring areas are determined from the center point of the rectangular square frame area to the periphery, and according to the brightness difference, the standard deviation, the ring mark difference value, the heart ring difference value and the horizontal visibility linear regression model of the constant illuminants, the average horizontal visibility between the camera and the constant illuminants at the positions of 50 m, 100 m and 200 m is obtained. The luminous target object video agglomerate fog visibility monitoring method can continuously monitor the average visibility in real time for 24 hours, can effectively monitor the agglomerate fog weather, can improve the timeliness and accuracy of monitoring, can assist in quickly determining the agglomerate fog generation section, and can reduce traffic accidents caused by highway agglomerate fog.

Description

technical field [0001] The invention relates to the technical field of meteorological monitoring, in particular to a method for monitoring the visibility of a luminous target object through video cloud fog. Background technique [0002] Fog is usually generated in small and medium-scale circulation systems, and is distributed in clusters. The coverage of 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. Expressway fog has been recognized as a "mobile killer", often causing major traffic accidents, and the accident fatality rate is higher than other traffic accidents. Compared with other fogs, cluster fog has the characteristics of locality, small range, suddenness, and easy flow, which greatly affects the timeliness and accuracy of monitoring. [0003] Domestic research started late and developed rapidly, which can be roughly classified into three types. The first cat...

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 is not stable enough in the early morning and evening, so it is difficult to apply all day

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