Fire-fighting intelligent early warning system and method based on Internet of Things

Abstract

The invention discloses a fire-fighting intelligent early warning system and method based on the Internet of Things, and belongs to the technical field of fire-fighting intelligent early warning. Temperature, smoke concentration and CO concentration data are obtained through an Internet of Things detector, and site position, regional function division and object flammability degree distribution data are synchronously collected; after preprocessing, generating a composite attribute label containing space coordinates, function partitions and flammability grades; constructing an equipment operation state spatial-temporal feature network based on equipment historical data, extracting multi-dimensional time sequence features, calculating a regional risk conduction coefficient in combination with a composite attribute tag, and fusing multiple parameters to generate a differentiated early warning threshold matrix; virtual monitoring grids are divided according to the correlation degree of regional functions and flammability grades, and early warning is triggered after a suspected risk area is identified and judged as an effective risk through space-time cross validation; when early warning is triggered, fire spreading is simulated in combination with site topological data, a dynamic risk map is generated, early warning information is pushed, and an emergency scheme is generated.

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