Visibility identification system based on meteorological observation and road camera shooting and application method

Abstract

The invention discloses a visibility identification system based on meteorological observation and road camera shooting. The system includes a user interaction module, a highway monitoring image dataacquisition module, a highway camera position information extraction module, a camera and meteorological station observation data association module, a visibility observation data acquisition module,a highway monitoring image and visibility big data analysis module, a visibility recognition training module based on a deep convolutional neural network, a real-time operation scheduling module, a visibility estimation and inspection module and an interface service module. According to the system, highway camera shooting data is taken as an object, and through machine learning and an artificial intelligence technology, under the combined action of related software, the road visibility information is extracted from the high-speed monitoring image in a full-automatic mode, effective monitoringof sudden agglomerate fog of the bureau can be achieved, monitoring information is provided for passing of heavy fog weather of a road, the utilization value of a monitoring camera is increased, and afavorable information guarantee is provided for reducing traffic meteorological disasters induced by heavy fog.

Description

technical field [0001] The invention relates to the field of data analysis systems and analysis methods, in particular to a system and application method based on meteorological observation and road camera visibility recognition. Background technique [0002] In the field of meteorology, heavy fog refers to a weather phenomenon in which a large number of tiny water droplets float in the air and the horizontal visibility is less than 1.0 km. Heavy fog (or dense fog) is one of the more common disastrous weather. It has the characteristics of high probability of occurrence, wide range of occurrence, and high degree of harm. There are traces of it all year round in our country, and its harm can be experienced. With the rapid development of expressways in our country, the impact of heavy fog on expressways is more prominent. Highway traffic accidents caused by heavy fog are common, and heavy fog leads to decreased visibility, which is likely to cause serious traffic accidents c...

AI Technical Summary

Problems solved by technology

[0005] In order to overcome the disadvantages that the existing expressway traffic meteorological observation station cannot carry out effective fog monitoring, and the data obtained by the road camera is not good enough to provide effective help for relevant departments to formulate corresponding measures, the present invention provides a highway camera The data is used as the object, and through machine learning and artificial intelligence technology, the road visibility information is automatically extracted from the high-speed surveillance images, which can realize effective monitoring of sudden fog, provide monitoring information for road traffic in foggy weather, and provide assistance to relevant departments A system and application method based on meteorological observation and road camera visibility recognition that provides reasonable data support to formulate relevant countermeasures, thereby reducing traffic accidents

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