Urban rail line level close-contact person cross infection risk identification method and device

A risk and line technology, applied in the field of cross-infection risk identification of close contacts at the urban rail line level, can solve problems such as methods or tools for the cross-infection risk of close contacts that have not yet been found, and the inability to screen close contacts.

Pending Publication Date: 2020-08-25
BEIJING JIAOTONG UNIV
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  • Summary
  • Abstract
  • Description
  • Claims
  • Application Information

AI Technical Summary

Problems solved by technology

[0003] At present, the methods related to the epidemic isolation control and trajectory tracking of close contacts in the existing technology only involve the trajectory tracking and risk type classification of close contacts in public transportation such as airplanes, railways, and buses, and only involve public transportation such as urban rail. At the stage of collecting basic information and publishing, no data-driven method

Method used

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  • Urban rail line level close-contact person cross infection risk identification method and device
  • Urban rail line level close-contact person cross infection risk identification method and device
  • Urban rail line level close-contact person cross infection risk identification method and device

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Experimental program
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Effect test

Embodiment 1

[0129] The embodiment of the present invention proposes a data-driven urban rail transit line-level risk identification method for close contacts (hereinafter referred to as close contacts). The schematic diagram of the realization principle of the method is as follows figure 1 As shown, the following processing steps are included:

[0130] Step S1, obtain the risk exposure line (Risk exposure Line, REL), risk exposure physical path (Risk exposure route, RER) and travel time of the case;

[0131] The risk exposure route REL is the case’s bus route, and the risk exposure physical route RER is the interval that the case travels through. REL is Line 4, and the risk exposure physical route RER is the section from Xizhimen to Ping'anli.

[0132] Step S2, analyze the micro travel behavior and travel time of the case, the travel physical path, micro travel behavior and travel process analysis methods of the close contacts are the same as the case;

[0133] Step S3, determining the ...

Embodiment 2

[0234] Taking the confirmed or suspected cases (hereinafter referred to as cases) in Beijing to travel by subway as an example to automatically identify the risk level of close contacts (hereinafter referred to as close contacts), the process of the present invention is as follows:

[0235] 1. According to the case card number 5XXXXXX9, obtain the case risk exposure line REL as a certain line [l 69 , l 61 ], the risk exposure physical path RER is The inbound time is 08:17:00 on a certain day of a certain year, the conversion second is 29820, the outbound time is 08:31:03 on the same day, the conversion second is 30663, the travel time is 14 minutes, and the cross-infection risk route map RER such as figure 2 shown;

[0236] 2. Analyze the microscopic travel behavior and travel process composition of the cases, and the starting point is the first station l 69 , the direction is downlink, and RER is the line-level non-transfer route, including 10 stations in total {l 69 ,...

Embodiment 3

[0249] This embodiment provides a cross-infection risk identification device for close contacts at the urban rail line level, and its specific structure is as follows: Figure 6 shown, including:

[0250] The information acquisition module 61, which belongs to the back-end processing module, is used to obtain the risk exposure line REL, risk exposure physical path RER and travel time of the case, and analyze the microscopic travel behavior and travel time of the case according to the REL, RER and travel time of the case , to obtain the travel physical route, micro travel behavior and travel process of the close contacts;

[0251] The data analysis and processing module 62, which belongs to the back-end processing module, is used to query the REL number of the case risk exposure line, the RER number of the risk exposure physical path, the RESFC number of the cross-infection risk exposure station, the RETFC train number of the cross-infection risk exposure train, and close conta...

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Abstract

The invention provides an urban rail line level close-contact person cross infection risk identification method and device. Based on behavioral science and data science, a risk exposure line station walking time probability distribution model is constructed from microscopic travel behavior analysis; from the perspective of an iterable risk period, the range of a close-contact person with the possibility of cross infection is continuously reduced; model solving is performed by utilizing an EM algorithm, cross infection risk exposure train risk probability and close-contact person cross infection risk probability are evaluated, and a close-contact person risk level evaluation model is established; and an urban rail risk level decision support and information query device is formed. Accordingto the invention, the method is an important means for improving suspected case screening precision and efficiency, provides a convenient and efficient query tool for the public to judge whether thepublic is a close-contact person, fills the blank of risk identification of the close-contact person in the field of public transportation, and has important decision support significance for public emotion guidance and emergency resource deployment in emergencies.

Description

technical field [0001] The invention relates to the technical field of rail transit passenger health management, in particular to a method and device for identifying cross-infection risks of close contacts at the urban rail line level. Background technique [0002] Urban rail transit (hereinafter referred to as urban rail), as the backbone of public transportation within the metropolitan area, is an indispensable tool for public travel. Major public health emergencies have the characteristics of "close contact and high transmission". Under the operating conditions of the urban rail network, once a major public health emergency occurs, the risk spreads quickly and spreads widely, and uncontrollable risks are easily generated. However, urban rail and public transportation such as airplanes, railways, and buses have the accurate identification function of "one ticket, one car / machine". Multiple trains can be boarded in the country, and close contacts of cases (hereinafter refe...

Claims

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Application Information

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IPC IPC(8): G16H50/80
CPCG16H50/80
Inventor 秦勇孙璇郭建媛谢臻高勃贾利民王雅观薛宏娇李健孙方
Owner BEIJING JIAOTONG UNIV
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