The application relates to a
transformer rapid explosion suppression and
fire prevention method, and belongs to the technical field of
power equipment safety, which specifically comprises the following steps: S1, collecting multi-
physical field data in real time through a sensor network arranged in the
transformer; S2, determining an electric-
thermal instability index, a fractal dimension of a fire core growth, a
maximum eigenvalue of an
irradiance Hessian matrix, and a spectral
coherence length decay rate based on the multi-
physical field data; S3, combining the electric-
thermal instability index, the fractal dimension of the fire core growth, the
maximum eigenvalue, and the spectral
coherence length decay rate to construct a
feature vector; and S4, identifying a preliminary fault state based on the
feature vector, correcting the preliminary fault state by using a preset
physical model to obtain a final fault state, and triggering a hierarchical
response strategy according to the final fault state. The application solves the problem that a single
signal source is prone to failure under the interference of a complex electromagnetic and thermal environment, and provides a
solid data foundation for subsequent accurate diagnosis.