Subway fire escape system and method based on real-time sensor monitoring network

Abstract

The invention provides a subway fire escape system and method based on a real-time sensor monitoring network. The subway fire escape system comprises a monitoring device, a control center, a mobile terminal with an inertial navigation system and a wireless transmitting system and an AP cluster, wherein the monitoring device, the control center and the mobile terminal can exchange data with each other through a WIFI network composed of the AP cluster. The monitoring device further comprises a fire situation monitoring device and a pedestrian counting device, wherein a monitoring range of the fire situation monitoring device can cover the whole subway station, the fire situation monitoring device is mainly used for monitoring whether fire happens in the subway station, a monitoring range of the pedestrian counting device covers entrances, exits, stairs and corners where passengers must pass by, and the pedestrian counting device is used for counting pedestrians and judging the route jam situation. The subway fire escape system can provide a practical solution for passengers in the subway station when fire happens, improves the fire evacuation efficiency and further reduces casualties.

Description

technical field [0001] The invention relates to the field of rail transit fire safety, in particular to a subway fire escape system and method based on a sensor real-time monitoring network. Background technique [0002] In recent years, with the rapid development of my country's rail transit construction, the subway has brought great convenience to people's travel. At the same time, due to the frequent occurrence of subway fire accidents, it has also caused a large number of casualties and property losses. Urban subways generally have the characteristics of deep underground, many electrical equipment, high concentration of personnel, complex building structure, long evacuation routes, and poor ventilation conditions. Once a fire occurs, the task of fighting fires will be very difficult. Especially when a fire breaks out, passengers are prone to panic. Some passengers blindly follow others to escape, rushing to the same exit and causing exit congestion, which not only affect...

AI Technical Summary

Problems solved by technology

Moreover, the escape direction indicated by the indicator light does not effectively consider the impact of the congestion of people on evacuation, which may lead to congestion in local areas and reduce the efficiency of evacuation

In addition, there may be multiple indicator lights at the fork, and passengers cannot judge the safest direction

[0005] The manual evacuation method also has disadvantages. The evacuation staff may not be able to arrive in time, and the information on the flow of people in the station and the fire spread cannot be grasped in real time, and the evacuation staff is also in danger of life.

[0006] In addition, the current fire evacuation methods are mainly aimed at crowd evacuation, with insufficient consideration for individuals such as the elderly, children, and the disabled, which may easily cause unnecessary casualties; when individual passengers are trapped, it is difficult to find the trapped passengers for rescue in the shortest time

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