Data processing system for acquiring target position

Abstract

The invention relates to a data processing system for acquiring a target position, and the system comprises a first database, a second database, a third database, a processor, and a memory in which a computer program is stored. When the computer program is executed by the processor, the implementation steps are as follows: S1, acquiring a first device id for installing a target app in a first time period from the first database, and constructing a first intermediate data table; S2, acquiring first wifi information connected with the id of the first equipment in a first time period from a second database; S3, acquiring a second device id connected with the first wifi information in the first time period from a second database, and constructing a second intermediate data table; S4, traversing the first intermediate data table and the second intermediate data table, and obtaining the number of the second device id connected with the first wifi information in the first time period and the number of the first device id; S5, determining target position information. According to the invention, the calculation amount of mass data processing is reduced, and the efficiency and accuracy of obtaining the target position are improved.

Description

technical field [0001] The invention relates to the technical field of computers, in particular to a data processing system for acquiring target positions. Background technique [0002] With the continuous development of technology and information technology, smart terminal devices such as mobile phones play an important role in people's lives, and multiple different types of apps are usually installed on the smart terminal devices. , Under normal circumstances, the same app is usually evenly distributed offline and will not gather in the same location area. If there is aggregation in the same location area for a specific app, the location area is very likely to be in need. The location of the tracked target. [0003] With the advent of the era of big data, the app-related data of smart terminal devices is growing explosively. Therefore, when acquiring the target location based on app-related data, it is usually necessary to analyze the massive data stored in the database, ...

AI Technical Summary

Problems solved by technology

[0003] With the advent of the era of big data, the app-related data of smart terminal devices is growing explosively. Therefore, when acquiring the target location based on app-related data, it is usually necessary to analyze the massive data stored in the database, which requires a huge amount of calculation and processing. Low efficiency, limited by the amount of calculation, often can only be analyzed based on less dimensional equipment data, and the accuracy of obtaining the target position cannot be guaranteed

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