Fake-licensed car recognition method and system based on Hadoop

Abstract

The invention discloses a fake-licensed car recognition method and system based on Hadoop. The method includes the following steps sequentially: preprocessing and collecting information of vehicles and collected by intelligent bayonet systems and adopting an HBase distributed database to store vehicle flow data; utilizing the Hadoop distributed frame to conduct modeling and analysis on the vehicle flow data and the bayonet data, utilizing a Map-Reducer programming frame to achieve suspicious fake-licensed car recognition, conducting traveling track analysis on suspicious fake-licensed cars and building a fake-licensed car early warning information base. According to the method and the system, a distributed technology is adopted, the problem in the prior art that the fake-licensed cars cannot be recognized effectively due to large data processing quantity is solved, data above the TB level can be effectively processed, the fake-licensed cars can be found accurately, and the method and system provides a basis for the traffic management department to investigate the fake-licensed cars.

Description

technical field [0001] The invention relates to the field of big data analysis, in particular to a method and system for identifying licensed vehicles based on Hadoop. Background technique [0002] With the growth of our country's national economic level, the number of motor vehicles is increasing rapidly every year. It is an important measure to ensure traffic safety to investigate and deal with various traffic violations. Among all kinds of traffic laws and regulations, vehicle "decking" is an illegal act with serious harm. The phenomenon of vehicle "deck plate" refers to the phenomenon that a vehicle illegally uses the same license plate number as other legal vehicles. According to reports from local media, "deck" vehicles seriously endanger the transportation industry and its operating order, posing a serious threat to people's safety and the interests of legal vehicles. Lawbreakers use other people's vehicle license plates to evade responsibility for causing accidents...

AI Technical Summary

Problems solved by technology

For a city with a huge number of vehicles, the amount of vehicle data collected every day reaches terabytes. Using file storage or database storage, the efficiency of data query and analysis is very low, calculated on the basis of 100MB / sec for a single computer , it takes 1.5 hours to read 2TB of data. On this basis, it is almost an impossible task to implement query analysis. Using SQL database is a more common method, but the database needs a computer powerful enough. In the processing of TB and above data, the database Data management and optimization are extremely difficult

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