Fine particle sealing detection method and system, and interactive access management system

Abstract

Aiming at access management problems and epidemic prevention problems displayed in the epidemic situation period and the whole society, split access place management is changed into a system driven by dynamic data and risk data, and each access manager is assisted to provide necessary real-time data for superior epidemic prevention, command or big data units; and each access person actively or passively learns the individual static data, dynamic data and risk data by the access management personnel during access code scanning access application, and decides access or forbidding or local control and the like of the access person according to the attributes, admission, export and association strategies (such as notification and report to related units) of the area.

Description

technical field [0001] The technical field of the system described in the present disclosure is: mobile Internet, big data, edge computing, Internet of Things and security, infection and epidemic prevention, social security management field and other branch fields related to the above fields. Background technique [0002] The new coronavirus is raging, and the existing property and regional access management systems have obvious disadvantages. They cannot effectively identify suspected, close contacts, and infected persons entering and exiting, so effective access management cannot be achieved; at the same time, the access management system for close contacts, etc. There is no data to obtain, and it is impossible to judge. In addition, there are a large number of communities that issue access cards to the residents of the community. In essence, this method is meaningful for epidemic prevention and control, but it does not provide support from a multi-dimensional system, so i...

AI Technical Summary

Problems solved by technology

[0004] The existing access management system is based on the self-governing access management system of the community and the lack of precise close-knit learning, resulting in its huge loopholes being fully exposed, especially during this infectious disease period, and the management systems and management personnel at each entrance and exit. None of them can grasp the dynamic risk information of the person entering or leaving (whether they are infected or they are close contacts), but only evaluate based on static information (if they are not people in the property, whether their body temperature exceeds the limit at this time, and quasi-static information such as having been to an epidemic area or come back from other cities), so they cannot make correct entry, exit, and other related decisions

In addition, when travelers take public transportation (dynamic area), they also need to be approved and recorded, such as whether risky people can get on the bus, how does the v

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