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Large indoor personnel evacuation system based on improved particle swarm optimization algorithm

A particle swarm optimization and personnel evacuation technology, applied in the field of large-scale indoor personnel evacuation systems, can solve the problems of evacuation time consumption, information delay, complex and cumbersome, etc., to reduce casualties and property losses, wide practicability, and save individuals and society. effect of loss

Inactive Publication Date: 2020-06-19
HOHAI UNIV CHANGZHOU
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  • Abstract
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AI Technical Summary

Problems solved by technology

[0006] However, artificial guidance of simulated human behavior will greatly consume evacuation time, and it will become more complicated and cumbersome in emergencies such as earthquakes and fires
At the same time, the calculation of the crowd flow, the acquisition of the shortest time position, the display on the output terminal, and the guidance of the staff will cause a lot of information delay

Method used

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  • Large indoor personnel evacuation system based on improved particle swarm optimization algorithm
  • Large indoor personnel evacuation system based on improved particle swarm optimization algorithm
  • Large indoor personnel evacuation system based on improved particle swarm optimization algorithm

Examples

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Embodiment 1

[0099] environment building blocks

[0100] In order to verify and apply the emergency evacuation model to the Louvre, before entering the palace for a visit, ensure that each visitor and staff is equipped with one or more of smart phones, smart watches, computers (or tablets), etc., and download specific The software program, and conducts a simulation test, provides visitors with the number of visitors today and the average number of visitors.

[0101] Several different types of sensors are arranged at certain distances around the room to achieve the effect of predicting different emergencies such as earthquakes and fires. The data in this step will also be updated in real time and sent to the processing terminal together with the GPS positioning information of the evacuated crowd, but will not participate in the subsequent processing of the improved algorithm. When a certain value of the sensor exceeds the preset safety threshold, an emergency It may not have happened yet, ...

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Abstract

The invention discloses a large indoor personnel evacuation system based on an improved particle swarm optimization algorithm. A particle swarm optimization algorithm in a swarm intelligence algorithmis improved, the particle swarm optimization algorithm is used for optimizing a multiple-input-multiple-output path, various sensors are combined to sense environment information, and the indoor personnel evacuation path planning system and method updated in real time are provided. By means of the flexible and efficient characteristics, possible emergencies can be found in the shortest time, themost reasonable evacuation path with the highest efficiency is provided for people through any electronic equipment, life safety is put in the first place, and personal and social losses can be savedto the maximum extent before and during the emergencies.

Description

technical field [0001] The invention relates to a large-scale indoor personnel evacuation system based on an improved particle swarm optimization algorithm, and belongs to the field of group intelligent path planning. Background technique [0002] With the development of China's urbanization and the increasing density of people, there are row upon row of high-rise buildings, and the internal structure of the building is gradually becoming more diversified and complex. The indoor environment is huge and has various functions. In the face of emergencies, indoor personnel often miss the best escape opportunity because they do not understand the severity of the incident, or cannot choose the best escape route because they are not familiar with the internal structure of the building. Gathered crowds are faced with unexpected vicious incidents, dangerous accidents such as crowding and stampede occur from time to time, and some even cause irreparable loss of life and property. [...

Claims

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Application Information

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Patent Type & Authority Applications(China)
IPC IPC(8): G06Q10/04H04M1/725H04W4/33H04M1/72457
CPCG06Q10/047H04W4/33H04M1/72406H04M1/72457
Inventor 陈俊风王家豪钱煜晖谢迎娟
Owner HOHAI UNIV CHANGZHOU
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