Passenger flow detecting and early warning system for railway passenger station based on ticketing data

Abstract

The invention provides a passenger flow detecting and early warning system for a railway passenger station based on ticketing data. The passenger flow detecting and early warning system comprises an equipment access layer, a data interface layer, a business logic layer and a presentation layer which are sequentially in communication connection, wherein the equipment access layer mainly comprises wireless video monitors deployed at main parts of the station, and the wireless video monitors provide high-definition video data for the system, perform processing operations and then transmit the processed data to the data interface layer through a network transmission unit; the data interface layer mainly accesses high-definition video and ticketing data of a ticketing system; the business logiclayer is mainly responsible for analyzing and processing video images and the ticketing data, and obtains a passenger density distribution map of the station within a certain time period according toa Gamma distribution law; and the presentation layer is a liquid crystal touch display screen, and provides functional applications and man-machine interaction for the system.

Description

technical field [0001] The invention relates to the technical field of early warning systems, in particular to a passenger flow detection and early warning system for railway passenger stations based on ticket sales data. Background technique [0002] The arrival rule of passengers at a railway passenger station refers to the probability distribution of all passengers arriving on the train from the time the first passenger arrives at the station to the time when the train stops checking tickets when the passenger takes a certain train, and the passenger arrives at the station The time probability distribution of is actually the probability distribution of passengers' waiting time in the station. Since the waiting time of passengers in the station directly affects the degree of crowd gathering in the station, if a large number of passengers gather in the station for a long time, it will easily cause congestion in the station and cause emergencies. Therefore, the regular dist...

AI Technical Summary

Problems solved by technology

Although a large number of cameras are installed in many stations, the actual use value is not high, the video data is not fully utilized, and the main functions are still at the stage of real-time monitoring and post-event video viewing

At the same time, the daily ticket sales data at the station is only a simple statistical summary, lacking further analysis

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