Indoor Disaster Detection and Real-Time Escape Guidance System
Background/Objectives: When disasters occur in crowded indoor spaces, many property and human lives are lost. Simulate an indoor disaster escape system to minimize damage. Methods/Statistical analysis: Data measured by sensors or disaster robots are sent to middleware responsible for the area. Each middleware uses data to determine whether a disaster has occurred indoors. If a disaster occurs, locate victims of disaster and provide safe escape routes through pre-built maps. Through these methods, we simulate whether a disaster occurred and how well we can identify the escape route. Findings: BLE BEACON was used to locate victims of disaster. Later, he informed the victim of the shortest route to escape through middleware and servers. As a result, they were able to create indoor navigation with errors of about 3 meters. Using this system, it was confirmed that it could escape indoors. Improvements/Applications: The indoor disaster detection and escape route guidance system provides information on the existence of an indoor disaster. And the victim can identify safe escape routes.
Authors
- Joong-Eup Kye
- Kang-Hee Jung
- Dae-Yeon Noh
- Ho-Won Lee
- Yoon-Young Park
Publication Details
- Journal
- International Journal of Engineering & Technology
- Published
- 2026-04-25
- DOI
- https://doi.org/10.14419/ijet.v7i3.24.22688
- Primary Topic
- Evacuation and Crowd Dynamics
- Type
- article
- Field-Weighted Citation Impact
- 0.00
Funders
- National Research Foundation
- National Research Foundation of Korea