The invention relates to the technical field of
papermaking dye performance testing, and discloses a high-stability
papermaking dye and a performance testing method thereof. The method comprises the following steps: collecting dye sample data and assistant influence parameters, and constructing an initial
environment variable set; determining a dye dispersion state category by adopting a
machine learning clustering
algorithm; if the state is aggregation abnormity, migration track data are obtained, and a dynamic process change rule is obtained through analysis; obtaining
fiber attachment distribution information based on the rule, analyzing the relevance between the
fiber attachment distribution information and auxiliary parameters by using a
support vector machine model, and determining migration path optimization points; extracting real-time monitoring indexes from the optimization points, and integrating environmental variable influences by adopting an
information fusion technology to obtain a stability quantized value; and if the quantized value is lower than the threshold value, adjusting environment
simulation parameters, evaluating the improvement degree, updating the dynamic process model, and generating a real-time monitoring scheme. According to the invention, quantitative tracking and regulation of dye dispersion and migration stability are realized, and the uniformity and stability of the
dyeing process are obviously improved.