Close-contact crowd identification method and device, electronic equipment and storage medium

A method of identification and technology for crowds, applied in the direction of epidemic warning system, medical informatics, computer-aided medical procedures, etc., can solve the problems of low scalability and large limitations, achieve low cost, improve accuracy, and ensure quality and speed effect

Active Publication Date: 2021-06-25
SOUTH UNIVERSITY OF SCIENCE AND TECHNOLOGY OF CHINA
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  • Summary
  • Abstract
  • Description
  • Claims
  • Application Information

AI Technical Summary

Problems solved by technology

However, the epidemic prevention research based on computer simulation is very dependent on data and precise parameters (initial infection of the population, virus transmission parameters, etc.), and the expansion is not high and the limitations are relatively large.

Method used

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  • Close-contact crowd identification method and device, electronic equipment and storage medium
  • Close-contact crowd identification method and device, electronic equipment and storage medium
  • Close-contact crowd identification method and device, electronic equipment and storage medium

Examples

Experimental program
Comparison scheme
Effect test

Embodiment 1

[0051] figure 1 It is a schematic flowchart of a method for identifying close-knit groups provided by Embodiment 1 of the present invention. like figure 1 As shown, the close-contact group identification method provided by Embodiment 1 of the present invention includes:

[0052] S110. Obtain historical track information of the user within a preset time zone.

[0053] Specifically, the user's historical track information refers to track data of the user's daily activities, such as GPS (Global Positioning System, Global Positioning System) data, that is, user track information at historical time. User historical track information usually includes user ID, time frame, longitude coordinates and latitude coordinates. In the GPS track data, the time is in units of frames, and the time of a day is broken down into 480 frames, each frame is 3 minutes, that is, the user's historical track information records the user's location every three minutes.

[0054] The preset time zone repre...

Embodiment 2

[0071] figure 2 It is a schematic flowchart of a method for identifying close-knit groups provided by Embodiment 2 of the present invention. This embodiment is a further refinement of the above-mentioned embodiment. like figure 2 As shown, the close-contact group identification method provided by Embodiment 2 of the present invention includes:

[0072] S200. Obtain historical track information of the user within a preset time zone.

[0073] S210. Traversing the historical track information of the users, and determining whether contact occurs between two users.

[0074] S220. If contact occurs between two users, establish a connection edge between the two users to form a user association network.

[0075] Specifically, the user historical track information includes multiple pieces of user track information. When there is contact between two users, it can be considered that the two belong to the close contact group. The method for determining whether contact occurs betwee...

Embodiment 3

[0114] image 3 It is a schematic structural diagram of a device for identifying people in close proximity provided in Embodiment 3 of the present invention. The close-connected group identification device provided in this embodiment can realize the close-connected group identification method provided by any embodiment of the present invention, and has the corresponding functional structure and beneficial effects of the implementation method. The content that is not described in detail in this embodiment can be implemented by referring to any method of the present invention. Example description.

[0115] like image 3 As shown, the close-contact group identification device provided by Embodiment 3 of the present invention includes: a historical trajectory information acquisition module 310, a user association network construction module 320, a static community division module 330, a new trajectory information acquisition module 340 and a dynamic community division module 350, ...

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Abstract

The embodiment of the invention discloses a close-contact crowd identification method and device, electronic equipment and a storage medium. The method comprises the following steps: acquiring user historical track information in a preset time region; constructing a user association network according to the preset time region and the user historical track information; carrying out community division on the user association network through a static community discovery algorithm and a dynamic community discovery algorithm, obtaining and rapidly updating an initial community structure, wherein the initial community structure comprises a plurality of communities, and each community comprises a plurality of closely-connected users; obtaining newly-added user track information; and updating the initial community structure in real time through a dynamic community discovery algorithm based on the newly-added user track information. According to the embodiment of the invention, the community structure is quickly updated through the combination of the static and dynamic community discovery algorithms, the quality and speed of the division of the close contact crowd are ensured through the combination of the static and dynamic community discovery algorithms, and the epidemic development can be known at low cost and high efficiency from the perspective of controlling epidemic propagation.

Description

technical field [0001] The embodiments of the present invention relate to the technical field of epidemic prevention and control, and in particular, to a method, device, electronic equipment, and storage medium for identifying close-knit groups. Background technique [0002] With the outbreak of the novel coronavirus (COVID-19) worldwide, almost all countries and regions in the world have been affected by it. At present, there is no very fast and effective treatment for the new coronavirus, so it is particularly important to take effective protective measures against the new coronavirus. [0003] At present, the research on the optimization of protective measures and risk assessment for the new coronavirus mainly focuses on the method of using the epidemiological infection model to conduct computer-based simulation experiments, that is, to use the currently public effective data combined with the virus transmission model to analyze the development trend of the new coronaviru...

Claims

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Application Information

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Patent Type & Authority Applications(China)
IPC IPC(8): G16H50/80
CPCG16H50/80
Inventor 宋轩莫宇张浩然冯德帆唐之遥
Owner SOUTH UNIVERSITY OF SCIENCE AND TECHNOLOGY OF CHINA
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