The present application relates to the technical field of electrical sensor, solve the technical problems of lacking physical constraint, the diagnosis result may violate the basic law of
thermodynamics, sensitive to the distribution change of training data, and the monitoring accuracy is limited, especially relates to a kind of cable sheath comprehensive online monitoring method and
system, the steps of this method are: collecting the original electrical
signal of target cable, according to original electrical
signal through filtering time stamp encapsulation
processing, obtain synchronous data frame, the present application is based on graph neural network simultaneously using cable
topological graph structure, provides the distribution input of
joule heat source containing topological dependence, can greatly improve the identification accuracy, form the linkage effect of spatial topology and heat field propagation, further optimize fault location precision, avoid unnecessary excavation repair, save cost, and the diagnosis result obtained can directly guide operation and maintenance decision, greatly improve operation and maintenance work efficiency.