Research on Multi-Dimensional Disaster Information Perception and Fusion Service Technology in Underground and Shelter Space

EasyChair Preprint 9964

Abstract

The disaster information of human casualties and infrastructure damage in underground and sheltered spaces usually demands to be acquired timely during natural disasters such as earthquakes. Therefore, to address the last link problem in the field of disaster relief, the paper investigates the service technology of multi-dimensional disaster information perception and fusion in underground and sheltered space. In this paper, the classification and characteristics of disaster information in underground space are summarized. The key technologies for the extraction and identification of geo-environmental information, the detection methods and sensors used for the data of real-time environmental parameters, and the means of multi-source disaster information fusion under a unified spatio-temporal framework are discussed respectively in the underground space. Finally, a method of dynamic visualization of underground space disaster information is proposed to visualize the underground space scene and environmental parameters. It is achieved the visualization of 2-3D linkage and the simulation of environmental parameters.

Keyphrases: disaster information perception, dynamic visualization, natural disasters, underground and shelter space

@booklet{EasyChair:9964,
  author    = {Shenghua Xu and Jiping Liu and Yong Wang and Xianghong Che},
  title     = {Research on Multi-Dimensional Disaster Information Perception and Fusion Service Technology in Underground and Shelter Space},
  howpublished = {EasyChair Preprint 9964},
  year      = {EasyChair, 2023}}