Looking for breakthrough ideas for innovation challenges? Try Patsnap Eureka!

Crowd evacuation simulation method based on scene semantic information under complex indoor structure

A simulation method and semantic information technology are applied in the field of crowd evacuation simulation that analyzes and utilizes scene semantic information, which can solve the problems of inability to integrate semantic information into evacuation simulation system and models that are separated from actual scenes, and achieve the effect of improving evacuation efficiency.

Pending Publication Date: 2021-02-26
SUN YAT SEN UNIV
View PDF5 Cites 7 Cited by
  • Summary
  • Abstract
  • Description
  • Claims
  • Application Information

AI Technical Summary

Problems solved by technology

[0005] In order to solve the technical problems existing in the prior art, the present invention proposes a crowd evacuation simulation method based on scene semantic information under complex indoor structures. This method can obtain the scene semantic information of complex indoor structures in real time, effectively solving the problem that the current model deviates from the actual scene. The technical problem of not being able to truly integrate semantic information into the evacuation simulation system improves the efficiency of crowd evacuation

Method used

the structure of the environmentally friendly knitted fabric provided by the present invention; figure 2 Flow chart of the yarn wrapping machine for environmentally friendly knitted fabrics and storage devices; image 3 Is the parameter map of the yarn covering machine
View more

Image

Smart Image Click on the blue labels to locate them in the text.
Viewing Examples
Smart Image
  • Crowd evacuation simulation method based on scene semantic information under complex indoor structure
  • Crowd evacuation simulation method based on scene semantic information under complex indoor structure
  • Crowd evacuation simulation method based on scene semantic information under complex indoor structure

Examples

Experimental program
Comparison scheme
Effect test

Embodiment

[0023] Crowd evacuation generally occurs in chaotic and dangerous environments. As the complexity of building structures increases, the simulation of crowd evacuation becomes more complicated. On the premise of such an assumption, the present invention acquires scene semantic information to perform simulation more accurately. In the present invention, information such as individual coordinates, individual space density, hazard type, occurrence location, severity, and building structure are considered, and the self-driving force and social force in the original social force model are improved through these scene information. Such as Figure 1-4 As shown, the crowd evacuation simulation method of the present invention comprises the following steps:

the structure of the environmentally friendly knitted fabric provided by the present invention; figure 2 Flow chart of the yarn wrapping machine for environmentally friendly knitted fabrics and storage devices; image 3 Is the parameter map of the yarn covering machine
Login to View More

PUM

No PUM Login to View More

Abstract

The invention relates to the field of crowd evacuation simulation, in particular to a crowd evacuation simulation method based on scene semantic information under a complex indoor structure, which comprises the following steps: firstly, carrying out target detection to obtain a pedestrian i coordinate and an initial speed vi, and initializing a simulation scene; determining a danger source, establishing a danger field for direct transmission of the danger signal by taking the danger source as a starting point, and establishing an information field for indirect transmission; dividing the pedestrian into different states according to the difference of the information obtained from the dangerous field or the information field, and correcting the expected speed of the pedestrian; adopting a pre-ERRT algorithm model to establish pedestrian evacuation path navigation, optimizing the evacuation direction in the pedestrian evacuation navigation path, and obtaining the final path navigation direction; introducing the affinity degree between pedestrians and pedestrian density information, correcting a social force model under a complex indoor structure, calculating the pedestrian acceleration, and performing weighted summation to obtain the direction and size of final speed variation. According to the method, the scene semantic information of a complex indoor structure can be obtained inreal time, and the crowd evacuation efficiency is improved.

Description

technical field [0001] The invention relates to the field of crowd evacuation simulation, in particular to a crowd evacuation simulation method for analyzing and utilizing scene semantic information under complex indoor structures. Background technique [0002] In today's life-oriented, people-oriented values, people advocate life safety more. How to improve people's self-rescue measures in dangerous situations and how to simulate the situation of crowd evacuation in advance have always been topics that people continue to explore. Crowd evacuation simulation is a cheap way for people to simulate, which can effectively save costs and avoid putting participants in danger. It is the most effective research method. Regarding the crowd evacuation simulation scenario, many researchers have proposed many models to simulate, such as social force model, RVO model, potential energy field model and so on. These models can simulate some phenomena and characteristics of crowd evacuatio...

Claims

the structure of the environmentally friendly knitted fabric provided by the present invention; figure 2 Flow chart of the yarn wrapping machine for environmentally friendly knitted fabrics and storage devices; image 3 Is the parameter map of the yarn covering machine
Login to View More

Application Information

Patent Timeline
no application Login to View More
Patent Type & Authority Applications(China)
IPC IPC(8): G06F30/27G06K9/00G06Q10/04G06Q50/26
CPCG06F30/27G06Q10/047G06Q50/26G06V20/53G06V20/40
Inventor 纪庆革林金城郭珊珊朱泳霖
Owner SUN YAT SEN UNIV
Who we serve
  • R&D Engineer
  • R&D Manager
  • IP Professional
Why Patsnap Eureka
  • Industry Leading Data Capabilities
  • Powerful AI technology
  • Patent DNA Extraction
Social media
Patsnap Eureka Blog
Learn More
PatSnap group products