The invention discloses a
dust explosion dynamic blocking method based on multi-
modal data fusion. The method comprises the following steps: S1, constructing five core accident trees; s2, collecting multi-
source data of
dust explosion in real time and preprocessing the multi-
source data, and extracting a multi-dimensional
feature vector containing temporal and spatial variation features; s3, converting the multi-dimensional
feature vector into a real-time
state vector of five core accident trees through an event activation rule, and completing multi-
source data fusion; s4, according to the real-time
state vector, calculating a top event probability of each accident tree by using a Monte Carlo
simulation method, and then obtaining an accident tree
dynamic coupling risk value through multi-tree
coupling analysis; s5, according to the
dynamic coupling risk value, using a spatial interpolation method and voxelization
processing to obtain a normalized risk value, and generating a dynamic risk thermodynamic diagram; and S6, according to the risk value of each area in the dynamic risk thermodynamic diagram, determining the
risk level of
dust explosion, then carrying out multi-level
interlocking control, and triggering a corresponding blocking strategy to realize dynamic blocking.