Study on High Efficiency Black Tea Fermentation Control System Based on Multiple Regression

Based on in-depth analysis of black tea fermentation process in modern tea making, this paper determines the key factors affecting black tea fermentation quality. A control model is established using multiple regression analysis method to achieve PID control characterized by multi-parameter coordination and normalization of the fermentation state. Using the final effect of multiple parameters as a reference, a regression study is carried out to establish a timeline-based dynamic temperature control model. Through organic coordination of sensors, system execution devices and soft boundary control algorithms, the key factors for black tea fermentation are subject to parameterized control, thus finally achieving the goal of minimal fermentation process with production efficiency improved. By comparing the production status before and after application of the control system, it indicates that: application of the control system can not only contribute to continuous, stable and rapid fermentation process, but also effectively improve the black tea fermentation quality.