The invention discloses a feed proportion abnormity identification method and
system, and particularly relates to the field of feed proportion abnormity identification, and the method comprises the steps: extracting the disturbance variables of
vibration amplitude, feeding speed and voiceprint waveform in multi-source disturbance data, constructing the disturbance
time sequence expression of a frequency, form and amplitude triple
feature structure, and carrying out the recognition of the
vibration amplitude, the feeding speed and the voiceprint waveform. Extracting a disturbance characteristic track with center characterization capability in a cluster through atlas clustering, and writing the disturbance characteristic track into a track benchmark
expression library; constructing an aligned trajectory expression set by analyzing the
frequency domain structure and the time slice expression of each channel
signal in the current batch of disturbance data and combining the binding relationship between the
batch number and the formula number; by constructing an offset matching and track consistency judgment
mechanism based on multi-source disturbance track expression, structured recognition and path logic
verification of a formula drift phenomenon are realized, and the problem that the actual feed
nutrition state is misjudged due to the fact that real proportion offset caused by residual feed cannot be recognized is solved.