The invention relates to the technical field of
food processing parameter optimization, and particularly discloses a Baijiu
brewing process parameter optimization method based on
artificial intelligence, which comprises the following steps of: acquiring temperature and steam flow data in a
distillation process in real time, performing
discrete Fourier transform processing on the temperature and steam flow data, and calculating a temperature fluctuation index and a steam flow fluctuation index; the two indexes are used as input characteristics, a
wine quality prediction model is established by using a deep neural network technology, the model can predict whether the
wine quality is qualified or not according to real-
time data, and for the
wine with an unqualified prediction result, the
system can automatically analyze reasons, so that the wine quality prediction accuracy is improved. According to the method, through real-time monitoring and intelligent adjustment, the product quality problem caused by parameter fluctuation in a traditional
brewing process is effectively solved, the production efficiency is improved, and the stability of the
white spirit quality is ensured.