Mobile communication personnel identity recognition system based on edge computing

Abstract

The invention discloses a mobile communication personnel identity recognition system based on edge calculation. The system comprises an identity information acquisition module, an edge calculation andanalysis storage module, a data distribution and package transmission module, a terminal behavior control module, a data reporting module and an alarm reporting module, and is characterized in that the identity information acquisition module is responsible for acquiring identity information and recording wireless link quality, power state, power processing allowance, terminal processing capability and acquisition time; and the edge calculation and analysis storage module is mainly responsible for accessing user identity information and attributes in the system, carrying out data analysis according to internal storage data, outputting a calculation result according to a classification algorithm, and adaptively updating data storage. The system can carry out large-class distinguishing on terminal users around the system, and carries out calculation according to the obtained identity information and parameters such as wireless link quality, power state, processing allowance and uplink signal intensity during communication so as to distinguish and classify the users.

Description

technical field [0001] The present invention relates to the field of mobile communication, in particular to a mobile communication personnel identification system based on edge computing. Background technique [0002] Mobile Edge Computing (MEC), broadly speaking, refers to an open platform that integrates network, computing, storage, and application core capabilities on the side close to the data source or terminal, and provides the nearest end service. The core idea is to introduce the original service platform functions on the mobile base station, so that service applications can be quickly deployed at the edge of the mobile network. [0003] In the field of security and public safety, due to the differences in the identity attributes of personnel, the front-end identity information collection equipment will generate a large amount of identity information data in real time. If all the data is transmitted to the background for extraction and analysis in real time, it will ...

AI Technical Summary

Problems solved by technology

[0003] In the field of security and public safety, due to the differences in the identity attributes of personnel, the front-end identity information collection equipment will generate a large amount of identity information data in real time. If all the data is transmitted to the background for extraction and analysis in real time, it will inevitably occupy a large amount of real-time bandwidth. It will lead to time-consuming processing of data analysis results and an increase in the amount of calculations, which will eventually lead to a lag in the final identity analysis comparison results and alarm messages

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