The invention discloses a non-invasive
skin drug delivery control method and
system based on
big data analysis, and the method comprises the steps: collecting multi-dimensional data, such as
skin thickness, metabolic capability, allergic constitution,
electrical impedance value,
skin temperature and
humidity, through a physiological parameter
sensor array, and carrying out the classification and recognition of individual physiological features through a clustering
algorithm. When individual parameters exceed a preset penetration threshold value, a real-time monitoring module is automatically activated, the
drug administration intensity adjustment direction is judged by analyzing
electrical impedance value fluctuation characteristics, a
penetration depth prediction model is constructed by fusing
skin temperature data, and deviation feedback optimization of a prediction value and an actual monitoring value is achieved. Allergic physical characteristics are further extracted and combined with metabolic capacity data to construct a dynamic regulation and control sequence, personalized administration intensity parameters are generated to drive an
actuator to adjust equipment output, continuous and accurate
permeation rate control is achieved through loop iterative optimization, the contradiction between individual differential administration requirements and equipment standardized output is effectively solved, and the method is suitable for large-scale popularization and application. The safety and the effectiveness of noninvasive administration are obviously improved.