Development of a Fire Access Route and Evacuation Route Guidance System based on the BDApp (Fire Remote Control Service)

Overview

During a fire, building occupants often struggle to find rapid evacuation routes, and firefighters frequently face difficulties securing access paths. Existing fire response systems focus primarily on alarm notifications, lacking real-time evacuation guidance and optimal access route provision. This system integrates AI and IoT technology to analyze optimal evacuation routes in real time and support rapid firefighter response.

Project Description

This system analyzes real-time information and provides optimal routes to facilitate rapid entry and evacuation during fire incidents.

• AI-Based Optimal Evacuation Path Analysis
  • During a fire, it analyzes smoke dispersion, temperature rise, and the status of doors and passageways within the building to suggest the safest evacuation route. The AI can adjust and guide routes in real-time based on the building's structural data.
• IoT-Based Real-Time Fire Detection and Data Collection
  • Real-time data from smoke detectors, temperature sensors, and door opening/closing sensors installed within the building is collected to analyze fire spread conditions. This enables immediate guidance to new evacuation routes should existing paths become blocked.
• Operation of Evacuation Route and Firefighter Access Guidance System
  • For building occupants, it provides optimal evacuation routes using smartphone alerts, guidance screens, and emergency lights. For firefighters, it guides real-time fire access routes to support faster rescue operations.

Expected outcomes

This system minimizes casualties during fire incidents and reduces fire response times. By providing optimal response strategies based on real-time data analysis, it enables more efficient fire management.

Key technological features

• AI-Based Fire Risk Prediction and Optimal Path Analysis: Analyzes smoke dispersion and temperature changes during a fire to provide safe evacuation routes
• IoT Sensor Network Deployment: Real-time data collection by linking with building fire detectors, temperature sensors, smoke detectors, etc.
• Real-time Alert and Guidance System: Visualizes evacuation routes for users and firefighters

Launch year: 2024

Attribution

Case study courtesy of the National Information Society Agency, Republic of Korea, Apolitical's Content Partner. Sourced from Use Cases of Public AI Service, Vol.1,  https://eng.nia.or.kr/site/nia_eng/ex/bbs/View.do?cbIdx=31975&bcIdx=28997&parentSeq=29042