The invention discloses a GIS
partial discharge monitoring and early warning method and device based on multi-antenna cancellation and multi-mode fusion, and the method comprises the steps: collecting GIS
partial discharge original signals through N groups of external
ultrahigh frequency antennas, inhibiting multi-source interference through combining a
noise template windowing translation method, and outputting pure
partial discharge signals; the method comprises the following steps: synchronously acquiring multi-mode data of
bus voltage and current, cleaning the data by adopting a sliding window + linear interpolation + 3 sigma criterion, and extracting
time domain and
frequency domain features; multi-
modal features are fused based on an attention mechanism, a lightweight CNN-LSTM model is input to realize partial
discharge trend prediction and grading early warning, and model precision is optimized through a
cross entropy loss function; and transmitting an early warning result to a digital platform, and after early warning is triggered, carrying out iterative optimization on
model parameters according to an on-site maintenance
verification result. According to the method, the extraction rate of partial
discharge signals in a complex
electromagnetic environment can reach more than 90%, the
processing delay is less than or equal to 1ms, the early warning accuracy is improved by 10% +, and the method is suitable for external monitoring of 500kV-1000kV extra-
high voltage GIS equipment.