Method and system for analyzing vehicles entering city for the first time

Abstract

The invention discloses a method and a system for analyzing a vehicle entering a city for the first time. The method includes acquiring vehicle passing data, generating a vehicle passing record table and a vehicle entry index table according to the passing vehicle data; the time segmentation function divides the incident time range into several time periods and transfers them to the original record thread pool; calls the original record thread pool Query the vehicle passing record table; according to several time periods, query the vehicle passing record table within the corresponding start and end time of each time period; summarize each query result to obtain the suspect vehicle data set; the record segmentation function divides the suspect vehicle data set into several data segment and pass it into the backtracking check thread pool; call the backtracking check thread pool to query the vehicle entry index table with multiple threads; if the suspect vehicle information is not recorded in the vehicle entry index table, the vehicle corresponding to the suspect vehicle information is within the time range of the incident Vehicles entering the city for the first time; the processing results are combined to obtain the data set for the first time entering the city. The present invention can realize the efficient inquiry of vehicles entering the city for the first time.

Description

technical field [0001] The present invention relates to the technical field of public security, and more specifically, to a method and system for analyzing a vehicle entering a city for the first time. Background technique [0002] In recent years, with the deepening construction of safe cities and skynet projects in various places, it has provided more and more sources of intelligence for the video investigation work of public security organs, especially the data of passing vehicles. As more and more cases are related to vehicles, passing vehicle data has become a key breakthrough point for case detection and arrest of criminal suspects. It can be said that mastering the dynamics of the vehicle will grasp the dynamics of the suspect. As a result, video detection technology has become the fourth largest technology after criminal technology, technical detection technology and network detection technology. [0003] In the process of committing crimes by car, criminals often ...

AI Technical Summary

Problems solved by technology

[0004] There are currently several solutions for the traditional analysis of entering a city for the first time. The most common one is to first remove the duplicate data by license plate number from the vehicle passing data within the incident time range selected by the user, and then remove the duplicate data from the vehicle passing data within the backtracking time range selected by the user. The car data is also deduplicated according to the license plate number, and finally two smaller data sets are obtained, and then the two data sets are correlated to obtain the vehicles that appeared in the time period of the incident but did not appear in the retrospective time period Data; this kind of scheme is easy to implement, but there are obvious shortcomings. First, the backtracking time selected by the user may be quite long. Taking a county with 4 million pieces of vehicle passing data in a day as an example, in order to more accurately determine the first time the user enters the city, he often A backtracking time of more than 30 days will be selected, so that 120 million pieces of data need to be scanned to deduplicate, which takes a long time, and a single query of 5 nodes often takes more than 20 minutes; there is also an improved solution that uses scheduled tasks to periodically Preprocess the passing vehicle data. By establishing monthly and weekly tables, the passing vehicle data will be deduplicated in advance. When the user queries, the time period selected by the user is divided into monthly and weekly segments, and the corresponding table can be read directly. The preprocessed data in , which greatly reduces the processing time, is also the data volume of 4 million a day, select 3 days, go back to 30 days, and the single query time can be compressed to minutes, but the disadvantage of this is also obvious, that is It is necessary to regularly establish deduplicated weekly tables and monthly tables, and most of the data in these tables are actually repeated, which causes a lot of waste of storage space on the server

Images