Rail transit large-passenger-flow-identification warning system and method

Abstract

The invention discloses a rail transit large-passenger-flow-identification warning system and method. The rail transit large-passenger-flow-identification warning system comprises a warning-region identification and judgment module, a data acquisition module, a data processing module and a monitoring and warning module; the warning-region identification and judgment module is used for identifying a station warning area, setting a monitoring camera and determining monitoring area; the data acquisition module is used for acquiring image data according to the set monitoring camera; the data processing module is used for generating local regional passenger data of internal station halls and platforms in a rail transit station by adopting a population identification algorithm according to video image data; the monitoring and warning module is used for identifying passenger flow warning state and determining threshold values, monitoring passenger flow data and sending out warning signals when real-time passenger flow exceeds a certain threshold value. By the arrangement, capacity of rail transit authorities in dealing with large passenger flow in passenger flow rush hours and emergencies is improved, and powerful data decision support is provided for safety operation of rail transit.

Description

technical field [0001] The invention relates to the technical field of rail transit safety and emergency management, in particular to a system and method for identifying and early warning of a large passenger flow in rail transit. Background technique [0002] Urban rail transit has unique advantages in alleviating urban traffic congestion due to its characteristics of large capacity, fast speed, accurate time, less pollution, and safety and comfort. The construction and operation of urban rail transit in my country is entering scale and network period of operation. However, with the continuous expansion of the scale of domestic rail transit operations and the sharp increase in passenger flow, the operational safety of urban rail transit systems is facing new challenges. The impact of high-intensity passenger flow has brought about train delays, passenger retention, and crowd stampedes, which threaten the safety of rail transit. Safe operation. [0003] Urban rail transit s...

AI Technical Summary

Problems solved by technology

The research on the early warning of large passenger flow mainly uses the statistics of the automatic fare collection system. Although the real-time passenger flow information can be statistically analyzed, this information always has a certain delay and inaccuracy, and the specific distribution of passenger flow information inside the station cannot be obtained.

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