The invention provides a real-time monitoring method and
system for the sterilization effect of an
aldehyde disinfectant, and relates to the technical field of process monitoring, and the method comprises the steps: collecting a microbial
electrochemical response signal, and obtaining a
time domain impedance module value, a
phase angle and an environmental parameter
time sequence.
Wavelet packet
decomposition is carried out on the impedance module value
time sequence,
cell membrane permeability characteristic
frequency band signals are extracted, and a
frequency domain envelope spectrum
time sequence is generated. Four types of time sequences are aligned to form a three-dimensional feature
tensor, and a sterilization efficiency
feature vector is generated through gating attention fusion. Constructing a
frequency domain relation graph, calculating an edge weight based on spectrum similarity, and obtaining a
frequency domain enhancement matrix through double-layer graph volume accumulation; and by taking the
time domain feature as a query and the frequency domain enhancement feature as a key value, injecting a biological
constraint matrix to correct the attention weight, and fusing the time-frequency feature. And through bidirectional LSTM coding, the sterilization efficiency, the inactivation logarithm and the
microorganism load prediction value are output in real time. The method combines electrochemical analysis and a
deep learning technology, realizes rapid and accurate evaluation of the disinfection effect, and is suitable for medical disinfection monitoring scenes.