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Data association analysis method and device

A data association and analysis method technology, applied in database index, database model, multidimensional database, etc., can solve the problems of high error rate, complexity and low performance of manual operation

Inactive Publication Date: 2020-03-10
QINGDAO HISENSE TRANS TECH
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  • Summary
  • Abstract
  • Description
  • Claims
  • Application Information

AI Technical Summary

Problems solved by technology

[0005] The present invention provides a method and device for data correlation analysis, which is used to solve the problem that video monitoring, WIFI acquisition, and vehicle passing bayonets belong to different systems and are constructed at different stages, and the equipment point information of different system data is maintained separately. The maintenance of point relationship is cumbersome and complicated. Traditional data association is used to manually establish physical associations between points for data fusion analysis, but this leads to huge maintenance costs for point information and a high error rate in manual operations; or through latitude and longitude calculations The distance method is used to associate, this method has a large amount of calculation and low performance

Method used

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  • Data association analysis method and device

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Experimental program
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Embodiment 1

[0072] This embodiment is based on the system of the above-mentioned data analysis platform. In the embodiment of the present invention, clustering data of different types of data is aggregated by using an information clustering method;

[0073] First, extract various data information from the message middleware kafka, and store the data in various databases according to the different data types. Specifically, the data needs to be clustered according to the data type, for example, from the road checkpoint The picture obtained from the picture, the information contained in the road checkpoint picture includes the license plate number of the vehicle, the facial features of the passengers and drivers in the car, and the model and color of the vehicle. According to the different license plate numbers, the checkpoint pictures with the license plate number will be collected Classify it into one category and store it packaged in the vehicle database, or package and store all kinds of ...

Embodiment 2

[0144] An embodiment of the present invention provides a device for data association analysis, the device includes the following modules:

[0145] The clustering data information acquisition module 801 is configured to, in response to an indication of data association for associated objects, search for clustering data information obtained by aggregating different types of data of the associated objects in the database, wherein the different types of data include The hash value obtained by converting the latitude and longitude of various types of data through the geohash algorithm;

[0146] The first spatio-temporal trajectory building module 802 is configured to construct the first spatio-temporal trajectory of the associated object according to the hash value in the found clustering data information;

[0147] The second space-time trajectory establishment module 803 is configured to determine the trajectory point of at least one detection object that satisfies the association...

Embodiment 3

[0167] An embodiment of the present invention provides a device for data association analysis, the device includes a processor and a memory, a computer program is stored in the memory, and the processor is used to execute a method for data association analysis of the computer program in the memory;

[0168] Responding to the instruction of data association for the associated object, search the database for clustering data information obtained by aggregating different types of data of the associated object, wherein the different types of data include the latitude and longitude geohash algorithm for collecting various types of data converted hash value;

[0169] Constructing a first spatiotemporal trajectory of the associated object according to the hash value in the found cluster data information;

[0170] Based on the trajectory points in the first space-time trajectory, determine the trajectory point of at least one detection object that satisfies the association condition wi...

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Abstract

The invention provides a data association analysis method and device. In response to an instruction of performing data association on the associated object, searching for clustering data information obtained by aggregating different types of data of the associated object in a database, the different types of data including hash values obtained by converting longitude and latitude of each type of collected data through a geohash algorithm; constructing a first space-time track of the associated object according to the hash value in the searched clustering data information; determining track points in the first space-time track, determining the track points of at least one detection object satisfying association conditions with the track points, and constructing a second space-time track belonging to the same detection object; and determining a detection object corresponding to the second space-time trajectory of which the similarity with the first space-time trajectory is greater than asimilarity threshold, wherein the detection object has an association relationship with the associated object. By utilizing the method provided by the invention, the name of any object is input, so that the space-time track behavior of the associated object can be extracted to analyze other objects accompanied and traveling in the same row.

Description

technical field [0001] The present invention relates to the technical field of big data and distributed computing, in particular to a data association analysis method and device. Background technique [0002] In the existing massive data search target technology, after the search target is determined in the data governance process, how to obtain the search target data from the massive data for line tracking has become a challenge in the target tracking field. [0003] Specifically, due to the increasing diversification of various front-end monitoring equipment such as video surveillance, face recognition, and vehicle checkpoints, more and more types of data can be used when determining the data corresponding to the search target for analysis and mining. It has become an industry difficulty to normalize various types of data into the same platform. [0004] In the previous target search systems and solutions, most of them were mining and application modes of massive data (si...

Claims

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Application Information

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Patent Type & Authority Applications(China)
IPC IPC(8): G06F16/22G06F16/28
CPCG06F16/285G06F16/283G06F16/2255
Inventor 刘祥郝旭宁毕晓辉刘见宋丽娜单洪伟张超
Owner QINGDAO HISENSE TRANS TECH
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