Panic group emergency evacuation analysis method based on big data

An emergency evacuation and analysis method technology, applied in data processing applications, other database clustering/classification, other database retrieval, etc., can solve problems such as insufficient consideration of the impact of panic groups and systematic analysis of the lack of panic groups affecting evacuation efficiency. , to effectively evacuate panic groups, prevent serious stampede accidents, and improve evacuation efficiency.

Pending Publication Date: 2021-03-02
SHANGHAI INST OF TECH
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AI Technical Summary

Benefits of technology

This patented describes an improved method called Panick Group Emergency Evacue Analysis System that combines Big Data technologies like Apache Spark or Kafka into one machine learning tool. It allows users to analyze massive amounts of data quickly without having to store it all over again. By analyzing these data sources at various stages during crisis situations, researchers are able to identify patterns associated with them and predict how they will behave differently when faced by casualties who may be trying to leave behind. These systems help guide rescue operations better while minimizing damage caused by unexpected events such as fires or explosions.

Problems solved by technology

This patents discusses how panickness affects escape behaviors for individuals who enter or leave buildings during crisis situations like fires or terrorist attacks. Current research suggests that panicked members may cause discomfort while navigational devices become less effective at finding safety lanings within them. There has been no comprehensive study about the effects of panics group dynamics on evacuee's ability to move safely towards danger zones.

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  • Panic group emergency evacuation analysis method based on big data
  • Panic group emergency evacuation analysis method based on big data
  • Panic group emergency evacuation analysis method based on big data

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Embodiment Construction

[0023] In order to make the above objects, features and advantages of the present invention more comprehensible, the present invention will be further described in detail below in conjunction with the accompanying drawings and specific embodiments.

[0024] Such as Figure 1~3 As shown, the present invention provides a method for analyzing panic group emergency evacuation based on big data, including:

[0025] S1: Classify the uncooperative and irrational psychological characteristics of panic groups, and obtain the classification results;

[0026] S2: According to the classification result, analyze the route selection strategy of the panic group, and obtain the evacuation behavior characteristics of the panic group based on the route selection strategy of the panic group;

[0027] S3: According to the evacuation behavior characteristics of the panic group, combined with the parallelized ant colony algorithm, the following figure 2 The shown MapReduce-based panic group evacu...

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Abstract

The invention provides a big data-based panic group emergency evacuation analysis method, which comprises the following steps of: simulating a shopping mall emergency evacuation scene through a big data platform, and processing shopping mall emergency evacuation big data by using a parallelized ant colony algorithm to obtain evacuation path selection of escape crowds with different panic degrees;therefore, the big data technology and the group panic theory are combined, the problems of large-scale, diverse-structure and low-value-density storage and analysis of the mall emergency evacuation related data are solved through the big data technology, the mall emergency evacuation related data are processed through the MapReduce-based parallelization ant colony algorithm. The influence of panic group behaviors on the evacuation efficiency is quantified, evacuation efficiency changes of different panic groups under the escape condition are obtained, the processing time is shortened, the processing cost and difficulty are reduced, and therefore the purposes of reasonably utilizing evacuation road sections and effectively evacuating the panic groups are achieved, and finally serious trampling accidents are prevented.

Description

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Claims

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Application Information

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Owner SHANGHAI INST OF TECH
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