Data-driven model analysis method and device for solving food raw material index range

The invention relates to the technical field of food processing. The invention discloses a data-driven model analysis method and device for solving a food raw material index range. The method comprises the following steps of: ; database constructed according to the food raw material indexes and the food product indexes, extracting a food raw material sample set and a food product sample set froma sample database; and predicting the food product quality indexes based on the standardized food raw material sample set and the standardized food product sample set, constructing a food raw materialquality standard optimization model according to the calculation data and a preset optimization target, and determining the range of the food raw material quality indexes according to the food raw material quality standard optimization model. Therefore, by constructing the food raw material quality standard optimization model, the food raw material quality index range is determined according to the model, and the technical