The invention discloses a multi-source
information fusion distribution transformer state evaluation method and
system, and the method comprises the steps: collecting multi-
source data, and obtaining a state quantity
data set through preprocessing; constructing an electromagnetic
thermal coupling model based on the state quantity
data set, and outputting space
physical field distribution; constructing a causal chain through displacement gradient
mutation detection based on space
physics field distribution, and outputting coordinates of a fault intrinsic source point; extracting a state response parameter by positioning a fault point based on the coordinates of the fault intrinsic source point, and obtaining an equipment
health index through a critical physical parameter; and obtaining a risk
score of the
distribution transformer according to the equipment
health index, and generating a state assessment report through a multi-dimensional
risk assessment algorithm. According to the method, the electromagnetic thermal full-
coupling model is constructed, and the
constitutive equation is fused by adopting the cross-
field energy analysis method, so that the hidden defect
detection rate and the service life prediction accuracy of the
distribution transformer are improved, the service cycle of key
power equipment is prolonged, and the operation and maintenance cost is reduced.