The invention discloses a power distribution network insulation defect detection method and
system based on an electroluminescent
composite material, and relates to the technical field of
electrical equipment insulation detection.The method comprises the steps that an electroluminescent gradient
doping coating material is prepared and sprayed to the surface of a pretreated detected insulating part; acquiring an electroluminescent
signal of the detected insulating part and real-
time data of environment temperature and
humidity, and performing preprocessing, inputting the preprocessed electroluminescent
signal into a pre-constructed light-
electric field nonlinear mapping model, performing basic
electric field inversion, and performing local correction on a three-combination-point area through a
weight factor; global environment compensation is carried out through a pre-trained BP neural network, and a corrected
electric field inversion result is obtained; and on the basis of a preset dimensionless electric field index dynamic threshold value, labeling coordinates of an abnormal region in a corrected electric field inversion result in real time, evaluating a defect
risk level in combination with weighted D-S evidence, and realizing
remote display and early warning of a thermodynamic diagram through a cloud protocol.