The invention relates to the technical field of preparation
data processing, in particular to a power
plant circulating cooling water degerming algicide preparation method, which comprises the following steps: acquiring
Zeta potential regulation and
control data, interfacial tension change rules and
corrosion inhibitor
adsorption kinetic parameters based on an orthogonal test, extracting principal component factors through data cleaning and
standardization treatment, and calculating the concentration of the principal component factors; and constructing a dynamic response curved surface model of the ratio of the main and auxiliary agents and the microbial inhibition effect. In a
dynamic simulation experiment, convolutional coding is fused with
turbidity, a
hardness space
distribution matrix and a microbial
population multi-dimensional vector to generate a
water quality feature vector, and the association rule mapping
library is combined with
system operation parameters to generate a self-adaptive adding
mode switching instruction. Cyclic
verification data iteratively updates the model weight through a feedback correction module, an optimization parameter set of the compounding proportion, the
temperature control gradient and the adding strategy is generated through
cross validation, a preparation process closed-
loop control system is formed, and the technical problems that multi-
source data integration is low in efficiency, dynamic
correlation analysis is missing, and a process quantification model is imperfect are effectively solved.