The invention discloses a power distribution network fault intelligent
monitoring system based on
the Internet of Things, and belongs to the technical field of power distribution network fault monitoring. Comprising a multi-source heterogeneous data fusion module, a dynamic topology
perception reconstruction module, an edge cloud collaborative decision module, a
quantum security communication module, a multi-
physics coupling fault prediction module, a distributed energy interference suppression module and
terminal equipment. Power measurement errors caused by
power flow reversal are avoided, local loads and reversely conveyed power can be accurately distinguished, high-frequency
harmonic noise is removed through dynamic weighted
Fourier transform and a nonlinear suppression function, and the
coupling relation of multiple physical fields is captured through
time sequence alignment and spectrum characteristic analysis, so that current anomaly is detected, and the
power flow reversal accuracy is improved. And the fault type can be comprehensively judged through temperature rise and vibration spectrum
distortion, a dynamic suppression factor coefficient is introduced, and the weight of a
coupling item is adjusted according to the severity of the fault.