Panic group emergency evacuation analysis method based on big data

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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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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