Ai-enhanced emergency response management system and method

The AI-enhanced emergency response system integrates real-time and pre-incident data to provide dynamic situational awareness and tactical guidance, addressing inefficiencies in emergency response by correlating building plans with real-time data for improved response efficiency and accuracy.

WO2026152222A1PCT designated stage Publication Date: 2026-07-23ONTARIO CORP NO 1000226991
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Patent Information

Authority / Receiving Office
WO · WO
Patent Type
Applications
Current Assignee / Owner
ONTARIO CORP NO 1000226991
Filing Date
2026-01-15
Publication Date
2026-07-23

AI Technical Summary

Technical Problem

Emergency response teams face delays and inconsistencies due to reliance on manual communication and underutilization of standardized building plans, leading to inefficiencies in situational awareness and response times, especially in high-occupancy and high-risk areas.

Method used

An AI-enhanced emergency response management system that integrates heterogeneous data sources, including real-time streams and pre-incident data, to synthesize actionable tactical guidance for responders, using a multi-agent AI engine to correlate building plans with real-time data for dynamic situational awareness and decision support.

Benefits of technology

Enhances response efficiency by providing real-time, accurate, and location-specific guidance, reducing errors and delays, and facilitating coordinated responses through automated hazard warnings and SOP-driven recommendations.

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Abstract

An emergency response management system and method provide real-time tactical guidance to responders. The system ingests and stores pre-incident data, including building pre-plans and standard operating procedures (SOPs), in a knowledge database. During a live incident at a specific location, the system receives real-time data streams (e.g., audio, dispatch messages, telemetry) and maintains a dynamic incident state model. A processor synthesizes real-time data from the live incident with relevant pre-incident data associated with the location. This synthesis identifies a tactical condition not explicitly present in either the real-time or pre-incident data alone. In response to the identified condition, the system generates actionable tactical guidance, such as a recommended operational action for on-scene decision-making. This guidance is provided to a user interface on a responder's mobile device for use during the live incident, enhancing operational effectiveness.
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