The invention relates to the technical field of
anomaly detection, in particular to a
pantograph arcing
anomaly detection and early warning method based on fusion of
ultraviolet light and
infrared imaging, and the method comprises the steps: collecting an
ultraviolet spectrum
signal of a
pantograph region in real time, and extracting arcing
feature data; acquiring
infrared temperature distribution images of the
pantograph and the
overhead line system, and extracting temperature abnormal region data;
timestamp synchronization and space
coordinate mapping are carried out on the arcing characteristic data and the temperature anomaly region data, and a fusion
data set with time-space alignment is generated; on the basis of the fused
data set, calculating the space-time similarity between the arcing
feature data and the temperature anomaly region data, and outputting an arcing-temperature
correlation index; constructing a
Gaussian mixture model, and dynamically judging an abnormal level; and when the abnormal grade exceeds a preset threshold value, a grading early warning
signal is triggered, and a fault positioning report including an arcing position and a temperature abnormal range is generated. The method has high
engineering practicability, and has important significance for guaranteeing safe and stable operation of a
rail transit power supply
system.