Big data-based accompanying vehicle analysis method and system

An analysis method and accompanying car technology, applied in the field of accompanying car analysis method and system, can solve the problems of OracleRAC implementation cost is huge, it is not a long-term plan, and can only be dealt with temporarily, so as to achieve humanized processing, accurate results, and improve case handling efficiency Effect

Inactive Publication Date: 2016-08-31
TAIHUA WISDOM IND GRP CO LTD
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  • Summary
  • Abstract
  • Description
  • Claims
  • Application Information

AI Technical Summary

Problems solved by technology

Oracle RAC belongs to the horizontal expansion of the processing capacity of the Oracle server. Oracle RAC adds a professional storage device and runs Oracle services on multiple servers. These Oracle services share the underlying storage, and these Oracle services can be externally served. This improves the The computing power of the Oracle server, but Oracle RAC needs to use multiple high-end servers to run Oracle services, and also requires professional storage devices, so the implementation cost of Oracle RAC is also huge
[0005] Therefore, the above two traditional solutions have two disadvantages: 1. They can only be dealt with temporarily, not long-term plans; 2. The cost is too high

Method used

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  • Big data-based accompanying vehicle analysis method and system
  • Big data-based accompanying vehicle analysis method and system
  • Big data-based accompanying vehicle analysis method and system

Examples

Experimental program
Comparison scheme
Effect test

Embodiment 1

[0059] see figure 1 Shown is a flow chart of a large data-based accompanying vehicle analysis method described in this application, including:

[0060] Step 101, the picture recognition server receives the passing car picture sent by the video collection terminal, and recognizes the passing car picture to generate video structured data;

[0061] Step 102, the picture recognition server sends the video structured data to the message server;

[0062] Step 103, the message server receives the structured video data and stores the structured video data in a message queue;

[0063] Step 104, the consumption unit of the message server (hereinafter may be referred to as the consumer) reads the record information of the video structured data from the message queue of the message server, and sends the video structured data to the open source database of columns;

[0064] Step 105. The column-oriented open source database receives the video structured data, and stores the video struct...

Embodiment 2

[0079] see image 3 Shown is a schematic structural diagram of a big data-based accompanying vehicle analysis system described in this application, which includes:

[0080] Video acquisition terminal 10, picture recognition server 20, message server 30, the consumption unit 40 of message server (hereinafter may be referred to as the consumer 40 of message server), the open-source database 50 facing column and accompanying vehicle analysis module 60, wherein,

[0081] The video collection terminal 10 is configured to send a passing picture to the picture recognition server 20;

[0082] The picture recognition server 20 is configured to receive the passing car picture, identify the passing car picture, generate video structured data, and send the video structured data to the message server 30;

[0083] The message server 30 is configured to receive the structured video data and store the structured video data in a message queue;

[0084] The consumer 40 of the message server i...

Embodiment 3

[0096] An application example of the present invention is provided below.

[0097] The workflow of the accompanying car analysis system based on big data in the present invention can be found in Figure 4 , this busy big data-based accompanying vehicle analysis system is realized based on the distributed system infrastructure Hadoop cluster.

[0098] First, the high-definition bayonet 11 and the electric police 12 send the taken passing car pictures to the picture recognition server 20 .

[0099] Next, the picture recognition server 20 sends the identified VSD (Video Structure Description) information to the kafka message server 30 .

[0100] Again, the kafka consumer 40 reads the VSD record from the kafka message queue and inserts it into the T_VSD_KSC table 51 and T_VSD_CSK table 52 of the distributed, column-oriented open source database HBase. The rowkey of T_VSD_KSC table 51 is a composite rowkey composed of "bayage number + passing time + license plate number", and the...

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PUM

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Abstract

The invention discloses a big data-based accompanying vehicle analysis method and system. The method comprises the following steps: receiving and recognizing a passing vehicle picture by a picture recognition server, generating video structural data and sending the video structural data to a message server; storing the video structural data into a message queue by the message server; reading record information of the video structural data from the message queue by a consumer unit of the message server, and sending the video structural data to a column-oriented open source database; storing the video structural data into a first list and a second list of the open source database by the open source database; querying all the checkpoints, through which a target vehicle passes in a starting-ending time range through the second list according to a license plate number and a starting-ending time; combining all the checkpoints, through which the target vehicle passes and the starting-ending time, and querying all the vehicles which pass through the same checkpoints with the target vehicle through the first list; carrying out analysis to obtain accompanying vehicles of the target vehicle.

Description

technical field [0001] This application relates to the technical field of intelligent traffic control, in particular, to a method and system for analyzing accompanying vehicles based on big data. Background technique [0002] In recent years, graphic investigation technology has become another powerful investigative technical means after criminal investigation, economic investigation, technical investigation and network investigation. The popularization of this investigative method has benefited from the bayonet accumulated by the public security department for a long time, the massive passing pictures of the electric police and the maturity of the picture recognition technology. In recent years, more and more checkpoints and electric police have been deployed on the roads of major cities in China, and the number of road sections that the public security department can monitor is also increasing. With the advancement of technology, high-definition checkpoints and high-defini...

Claims

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Application Information

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Patent Type & Authority Applications(China)
IPC IPC(8): G06F17/30
CPCG06F16/7867G06F16/27
Inventor 李占强辛国茂孙希彬马述杰
Owner TAIHUA WISDOM IND GRP CO LTD
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