The application provides a power distribution
automation equipment supervision acquisition
system, which comprises the following steps:
time synchronization and space registration are realized by adopting a space-
time alignment algorithm on
infrared signals, vibration signals and electrical signals; thermal
imaging analysis is performed on the
infrared signals after synchronization and registration, an overheated area is automatically framed and selected, and a
temperature gradient is calculated;
vibration signal analysis is performed on the vibration signals after synchronization and registration, vibration entropy is calculated;
partial discharge analysis is performed on the electrical signals, and the number of
discharge pulses is obtained; the
temperature gradient, the vibration entropy and the number of
discharge pulses are weighted and fused, the fused features are input into an LSTM model for
time sequence correlation analysis, the fault type and the fault type probability are obtained, and the 750KV substation is warned according to the fault type probability. The application provides an
automation equipment supervision acquisition
system for the 750KV substation, and has the advantages of low missed
detection rate and high accuracy.