In-station dynamic safety analysis method

Abstract

The embodiment of the invention provides an in-station dynamic safety analysis method. The method comprises the following steps: acquiring a motion trail of each passenger in a station by adopting a location-based service LBS; adopting a preset classification algorithm to classify the motion trails according to preset types of trail models, and counting the number of trails corresponding to each trail model; if the track number of a certain track model exceeds a preset alarm threshold value, starting the alarm; if yes, calculating the motion trails of the motion trails according to the statistical information of the motion trails belonging to the trail model. According to the embodiment of the invention, the method obtains the movement track of each passenger through the LBS technology, judges the corresponding track model, and transmits the alarm information when the number of tracks of the track model exceeds the alarm threshold, thereby achieving the more accurate alarm prediction of the safety risk in the station.

Description

technical field [0001] The invention relates to the technical field of rail transit, in particular to a dynamic safety analysis method in a station. Background technique [0002] With the rapid development of my country's subway construction, the complexity of the subway network has also increased rapidly, and a large number of multi-line (line 3 and above) transfer subway stations have emerged, such as Xizhimen Station in Beijing, Songjiazhuang Station, Futian in Shenzhen Station and other three-line transfer stations, as well as Shanghai's Century Avenue Station, Longyang Road Station and other four-line transfer stations. In the multi-line transfer station, because different lines are located on different platforms, the transfer lines in the station cross. Under the impact of large passenger flow during morning and evening peak hours, holidays and major events, it has brought great challenges to the safe operation of the subway. risks of. [0003] In order to deal with t...

AI Technical Summary

Problems solved by technology

However, the installation position of the camera is affected by the space in the station, causing a lot of occlusion, and the detection range is limited. A large number of cameras also brings cumbersome wiring, installation and commissioning work

The process of human supervision can only analyze the flow density of a single area

[0004] It can be seen that the existing security analysis methods cannot accurately predict the security risks in the station

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