Fire alarm linkage intelligent control method and system based on deep learning

Abstract

This invention relates to the field of fire alarm technology and discloses a deep learning-based intelligent control method and system for fire alarm linkage. The method includes: acquiring fire alarm situation data streams, constructing a fire situation assessment model based on the building space topology, mapping alarm points as graph nodes, extracting the temporal evolution characteristics of alarm signal strength, deducing the fire spread path through a graph diffusion mechanism, outputting a fire spread probability distribution map, calculating a graded risk quantification index, classifying fire risk levels and identifying high-risk key early warning areas, matching fire equipment ledgers and spatial layout, using fire spread trends and equipment linkage constraints as decision-making criteria, performing mapping analysis on fire situation and linkage strategies, generating a linkage control strategy instruction set and distributing it to various fire equipment for automatic handling according to the execution sequence, calculating the comprehensive execution deviation, and determining whether to trigger linkage control strategy replanning; achieving automatic handling of multiple types of fire equipment and dynamic adaptation to fire linkage strategies.

Images