Big data analysis method for checking close contact crowds based on mobile phone signaling

Abstract

The invention discloses a big data analysis method for checking close contact crowds based on mobile phone signaling. The big data analysis method comprises the following steps: reading data of a user and signaling; reading the MRO data; performing terminal positioning analysis according to the MR data; big data analysis is carried out; visual presentation of a terminal user; and judgment and early warning of close contact crowds are carried out. The invention provides a big data analysis method and equipment for checking close contact crowds based on mobile phone signaling. According to the invention, MR data and a big data analysis technology are combined based on the mobile phone signaling to carry out terminal user visual presentation. According to the method, 30-meter-level longitude positioning of the terminal user can be realized, and the action trace of a diagnosed patient during an epidemic situation is objectively presented, so that comprehensive and objective'epidemiological tracking 'is achieved, and all closely contacted persons are found at the first time for epidemiological investigation.

Description

technical field [0001] The invention relates to the technical field of wireless communication and core network, in particular to a big data analysis method for screening people in close contact based on mobile phone signaling. Background technique [0002] At present, the main blocking measures for COVID-19 are the isolation and isolation of the traditional strict defense. Although the isolation and isolation are effective, the efficiency is relatively low, let alone the active detection and early warning of close contacts. [0003] Existing technical solutions mainly use two methods to detect and warn close contacts: [0004] 1. Adopt "epidemiological investigation". This method mainly adopts that if a confirmed case is found, professional epidemiological investigators will conduct an epidemiological analysis on the confirmed case to sort out the formation track of the confirmed case. Contact personnel, and determine whether there are close contacts, and then carry out fur...

AI Technical Summary

Problems solved by technology

This method is easier to judge the information of fellow passengers in real-name tickets such as planes, trains, and coaches, but there is an investigation funnel for close contacts encountered in short-distance travel such as subways and buses that do not require real names. If suspected cases and confirmed cases It is also difficult to make a judgment on potential close contacts who have been to supermarkets, restaurants, conference venues, theaters and other crowded places before the onset of the disease.

[0005] 2. Use the method based on base station positioning to locate the infected person. This method uses base station signaling for positioning, and mainly determines which base station the end user is located in. It is difficult to accurately determine the specific location of the end user

[0006] The "epidemiological investigation" method adopted by the existing technical scheme, on the one hand, the efficiency of this method is relatively low, on the other hand, it has high professional ability requirements for the investigators, and puts forward certain requirements for the retrospective ability of the investigators. Malicious concealment by the surveyed will affect the efficiency and effectiveness of epidemic prevention; on the other hand, the base station positioning method adopted has a relatively large positioning error, which can even reach a coverage area of ​​about 500 meters of the base station. A large positioning error will Seriously affect the judgment and response of close contacts

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