AI-Based Integrated Control System Implementation for 119 Emergency Operations Centers: Scenario-Based Applicability Analysis

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Authors: Sun-Kyu Jung, Won-Chang Kim, Gyu-Yong Kim, Tae-Gyu Lee
Cited by: 0

Abstract

This study proposes a conceptual framework for an AI -based integrated control system designed to support decision-making in 119 emergency operations centers. The proposed platform links internal operational data with external public APIs (weather, traffic, and underground infrastructure) and organizes modular functions for call intake, dispatch routing, and field response coordination. Scenario-based analysis indicates that integrated visualization and constraint-aware routing can support situational awareness, dispatch decisions, and on-site safety information. This work demonstrates the theoretical viability of the concept rather than providing quantitative validation, and serves as a basis for future simulations and field evaluations.

Fields of Study & Subjects

Safety and Risk Management Military Strategy and Technology Fire Detection and Safety Systems

Publication details

Journal / source
Fire science and engineering
Volume
40
Issue
1
Pages
86–91
Publication date
26 February 2026
Language
EN