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Crowd congestion prediction method and system based on knowledge graph and regional crowd density

A technology of crowd density and knowledge graph, applied in the field of crowd evacuation computer simulation, can solve the problem of crowd evacuation and consume a lot of manpower and financial resources, so as to improve crowd congestion prediction effect and crowd evacuation efficiency, improve utilization rate, and optimize area The effect of choosing a strategy

Active Publication Date: 2022-07-22
SHANDONG NORMAL UNIV
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  • Summary
  • Abstract
  • Description
  • Claims
  • Application Information

AI Technical Summary

Problems solved by technology

[0005] The traditional method of crowd evacuation drills requires a lot of manpower and financial resources, and there are potential risks, so it is not the best way to solve the problem of crowd evacuation

Method used

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  • Crowd congestion prediction method and system based on knowledge graph and regional crowd density
  • Crowd congestion prediction method and system based on knowledge graph and regional crowd density
  • Crowd congestion prediction method and system based on knowledge graph and regional crowd density

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Experimental program
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Embodiment 1

[0056] This embodiment discloses a crowd congestion prediction method based on knowledge graph and regional crowd density;

[0057] like figure 1 As shown, the crowd congestion prediction method based on knowledge graph and regional crowd density includes:

[0058] 1) Initialize the two-dimensional evacuation scene model and crowd model, and divide the evacuation scene into regions;

[0059] The initialization of the two-dimensional evacuation scene model includes extracting evacuation scene features, setting scene size parameters, setting the positions of obstacles in the scene, and the positions of scene exits; the crowd model includes the number of individuals in the crowd and the number of individuals in the scene. position, the initialized two-dimensional evacuation scene model and crowd model such as figure 2 shown.

[0060] Further, the steps of dividing the evacuation scene area are:

[0061] like image 3 As shown, the method for dividing the evacuation scene by...

Embodiment 2

[0101] This embodiment discloses a crowd congestion prediction system based on knowledge graph and regional crowd density;

[0102] like Figure 8 As shown in the figure, a crowd congestion prediction system based on knowledge graph and regional crowd density includes an initialization module, a congestion judgment module, a region selection module, a speed calculation module and a congestion prediction module;

[0103]The initialization module is configured to: initialize the two-dimensional evacuation scene model and the crowd model, and divide the evacuation scene into regions;

[0104] The congestion judgment module is configured to: calculate the crowd density of each area in real time, and judge the congestion state of each area;

[0105] The area selection module is configured to: calculate the gravitational value of each area according to the distance between each area and the exit and the density of the crowd, and use the gravitational value to calculate the probabil...

Embodiment 3

[0109] The purpose of this embodiment is to provide a computer-readable storage medium.

[0110] A computer-readable storage medium on which a computer program is stored, and when the program is executed by the processor, implements the steps in the method for predicting crowd congestion based on knowledge graph and regional crowd density as described in Embodiment 1 of the present disclosure.

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Abstract

The invention proposes a crowd congestion prediction method and system based on a knowledge graph and regional crowd density, and the method comprises the steps: carrying out the regional division of an evacuation scene, calculating the crowd density of each region, judging the regional state, obtaining the regional crowd gathering speed, constructing a probability-based region selection model, and predicting the movement direction of a crowd, thereby achieving the prediction of crowd congestion. And finally, constructing a regional state knowledge graph of the evacuation scene, and predicting crowd congestion by using the knowledge graph. The knowledge graph is introduced into the field of crowd evacuation congestion prediction, the regional state knowledge graph is constructed through calculation and arrangement of the congestion state of each region in an evacuation scene, the process of predicting the regional congestion state by the model is perfected, the representation capability and prediction effect of the model are deeply improved, and the prediction efficiency is improved. And the method has profound significance for improving the crowd congestion prediction effect and crowd evacuation efficiency.

Description

technical field [0001] The invention belongs to the field of crowd evacuation computer simulation, and in particular relates to a crowd congestion prediction method and system based on a knowledge map and regional crowd density. Background technique [0002] The statements in this section merely provide background information related to the present invention and do not necessarily constitute prior art. [0003] In modern society, with the improvement of people's material living standards and the pursuit of spiritual activities, a large number of indoor public places have begun to appear side by side. When an emergency (fire, earthquake, etc.) occurs, disorderly evacuation not only evacuates It is inefficient and prone to overcrowding, trampling and other vicious accidents, posing a serious threat to people's lives and property safety. Studies have shown that when people are in a panic, it is often difficult to accurately determine the efficient evacuation route and evacuati...

Claims

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Application Information

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Patent Type & Authority Applications(China)
IPC IPC(8): G06V20/52G06V10/764G06K9/62G06F16/587
CPCG06F16/587G06F18/2415
Inventor 段佶昊刘弘张玉玲李信金张桂娟
Owner SHANDONG NORMAL UNIV
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