Building fire evacuation path planning method and building fire evacuation path planning system

Abstract

A building fire evacuation path planning method and a building fire evacuation path planning system belong to the field of safety science and engineering and management optimization. The method and the system are provided in order to solve the technical problem on how to get optimal evacuation paths through one-off optimization calculation according to the fire point and a fire dynamic spread model under the premise that all to-be-evacuated people in a building just avoid a dynamic fire zone when a fire occurs to the building. In the one-time path optimization calculation process, the road network environment in the building is not static, but changes with the calculation process according to the given fire dynamic spread model. After path optimization calculation is finished, the system of the invention starts guide devices pre-installed in the building and sends the path optimization result and other information to the mobile application clients of the to-be-evacuated people, so that the to-be-evacuated people at different positions in the building can be guided by the guide devices and the mobile application clients to evacuate according to respective optimal evacuation paths.

Description

[0001] Technical field: [0002] The invention provides a building fire evacuation path planning method and system, belonging to the field of safety science and engineering and management optimization. [0003] Background technique: [0004] As the economy continues to develop and large buildings continue to increase, the corresponding fire risk is also increasing. Since large buildings (such as large shopping malls, commercial office buildings, transportation hub buildings, and high-rise commercial housing buildings) are usually crowded with people, in the event of a fire, can they evacuate and evacuate the building in a timely, fast and efficient manner through the escape corridor in the building? The personnel inside play a vital role in reducing fire casualties. Escape corridors in large buildings are usually a relatively complex road network system, and the best evacuation paths for people in different positions in the building are different. Therefore, helping the peopl...

AI Technical Summary

Problems solved by technology

The method based on dynamic path optimization still has shortcomings: (1) Only the current ignition point and fire situation are considered in each online real-time calculation, and the future spread of the fire is not considered. Therefore, the best evacuation path calculated online in real time It is only feasible and optimal for the disaster situation at the current moment, but for the next moment, due to changes in the fire situation, the optimal evacuation path calculated at the current moment may no longer be optimal , or even become no longer feasible, for example, when the people to be evacuated walk somewhere along the optimal evacuation path calculated at the current moment, it is found that due to the spread of the fire, the evacuation path has been completely blocked by fireworks, and there is no Unable to pass, so we have to turn back to seek the best evacuation route calculated by the new online real-time calculation, which wastes precious time and may eventually lose the chance of escape; (2) when the building is on fire, the online real-time inside the building Whether the computing equipment and guidance devices can always work normally is also a problem. For example, a fire may cause power outages, communication interruptions, and even equipment damage, thus making it impossible to continue online real-time calculations based on the latest fire conditions, or the latest calculated results It cannot be sent or displayed to individual or even all guidance devices, and online real-time calculation results cannot be updated in time, and the evacuation of people to be evacuated will become more chaotic, resulting in greater casualties

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