Real-time vehicle speed monitoring method based on flink architecture

A technology of vehicle speed and distance between vehicles, applied in the field of vehicle speed monitoring based on the flink architecture, can solve the problems of improving safety alert, unable to provide real-time feedback, vehicle accidents, etc., to avoid vehicle accidents, strong real-time processing, and ensure consistency. Effect

Inactive Publication Date: 2020-07-17
ZHEJIANG UNIV OF TECH
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  • Summary
  • Abstract
  • Description
  • Claims
  • Application Information

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
Becau

Method used

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  • Real-time vehicle speed monitoring method based on flink architecture
  • Real-time vehicle speed monitoring method based on flink architecture
  • Real-time vehicle speed monitoring method based on flink architecture

Examples

Experimental program
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Embodiment Construction

[0026] With reference to accompanying drawing, the application of the present invention is illustrated with a certain section of expressway.

[0027] Step 1, a certain highway section in Hangzhou, through the radar speedometer terminal 10, real-time collection of the traffic flow situation within T time, including the driving speed value of each vehicle, the speed limit threshold value of the current section, the duration of overspeed, overspeed mileage, distance between vehicles, The time of data collection and the license plate number.

[0028] Step 2. In step 1, the terminal 10 is used as a data source to continuously generate data. Use the source component of flume to collect the data of the terminal 10 into the channel cache component of flume. At this time, the channel provides a queue function for the data being provided by the source After simple caching, the Sink component of Flume takes out the data in the cache and sends the data to the Flink platform. Table 1 shows...

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PUM

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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...

Claims

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Application Information

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IPC IPC(8): G08G1/052G06F16/182G06F16/215G08G1/0967
CPCG06F16/182G06F16/215G08G1/052G08G1/0967
Inventor 程宏兵李静方伟刘加玲
Owner ZHEJIANG UNIV OF TECH
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