The application belongs to the technical field of power systems, and discloses a high-frequency vibration
signal cooperative
processing method and
system, which comprises the following steps: receiving a high-frequency vibration
signal and writing the
signal into a real-time buffer according to a signal channel to generate waveform statistical features; performing dynamic subscription and dynamic unsubscription operations on the signal channel, applying a
delay operation to the dynamic unsubscription operation, reading target waveform data in a time window, and generating a set of intercepted segments; performing batch learning and coordinated
processing on the set of intercepted segments according to an optimal path to obtain batch learning samples; writing the waveform statistical features, the set of intercepted segments and the batch learning samples into an asynchronous archiving
queue and generating an archiving file; in an offline stage, performing intersection interception operation on a target interception interval and an
original data block interval determined by a data block index in the archiving file to generate an offline segment file for offline review, export and reanalysis. The application reduces invalid event
processing and full-amount rule evaluation, and improves
system response efficiency.