Real-time vehicle speed monitoring method based on flink architecture

Abstract

The invention discloses a vehicle speed monitoring method based on a flink architecture, and the method comprises the steps of collecting data through a radar tachymeter, carrying out the data cleaning through a Flink platform, analyzing the data that the vehicle speed is greater than a speed limiting threshold value and the distance between vehicles is less than 200 meters through the flink platform, and obtaining the vehicle driving information; performing message consumption by using the flink platform, feeding overspeed vehicle information in the driving safety range back to the vehicle-mounted system, and enabling the vehicle-mounted system of the vehicle to report the overspeed vehicle condition to a driver; and meanwhile, performing data storage, so that historical data can be read,an overspeed accident investigation basis can be provided for traffic polices, and overspeed accidents can be simulated.

Description

technical field [0001] The invention relates to the field of speed monitoring, in particular to a vehicle speed monitoring method based on a flink architecture. Background technique [0002] In the development process of the existing traffic roads, traffic accident casualties often occur every year, and the number increases instead of decreasing, which not only brings harm to the family, but also indirectly affects social development. By monitoring and restoring, we can analyze many reasons. Objective reasons such as rain, fog and snow, etc., one of the subjective reasons is impressive because of speeding. Some drivers on the road do not drive at normal speeds, which creates a safety hazard for other drivers in the same industry. [0003] The premise of safe driving is that according to the traffic law, speeding cannot be allowed. In fact, not every driver abides by traffic laws. At present, most of the detection of speeding on various roads in our country is through monit...

AI Technical Summary

Problems solved by technology

Static collection of speeding vehicles cannot prevent traffic accidents. It can only monitor whether the vehicle is speeding on a regular basis, and it cannot provide real-time feedback to the normal driving driver. Driving at a safe distance

Because the high-speed dynamic changes of each vehicle always have a risk factor. At this time, if the normal driving driver is not reminded of the abnormal speeding vehicle changes in the surrounding area, it is very likely to cause a vehicle accident.

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