This invention discloses an intelligent
emergency response method and
system based on an AI-powered
big data model, specifically relating to the field of emergency management technology. It addresses existing problems in emergency management such as insufficient intelligent emergency decision-making, fragmented multi-
source data, inefficient emergency material management, separation of functions between normal and
emergency situations, and poor communication reliability. The method reduces reliance on manual decision-making through an AI-powered
big data model, achieving unified
data management and real-
time synchronization, eliminating blind spots in
collaboration. Furthermore, it utilizes AI-powered
big data model
video recognition to achieve intelligent inventory and distribution
traceability of emergency materials. The integrated dual-mode architecture for both normal and
emergency situations enables second-level
mode switching, allowing for rapid,
verification-
free distribution of materials and coordinated emergency resources in emergencies, while providing
intelligent management of materials and equipment during normal times. It employs full-duplex
network socket communication and a hierarchical messaging mechanism to ensure priority transmission of emergency commands, and supports real-time
collaboration across multiple terminals. This addresses the issues of insufficient intelligent emergency decision-making, fragmented multi-
source data, inefficient emergency material management, separation of functions between normal and
emergency situations, and poor communication reliability.