This invention relates to the field of feed production,
processing, and testing technology. Specifically, it relates to a feed production,
processing, and testing method based on
big data. The method includes the following steps: S1, collecting historical feed production data and screening it according to
processing stages to obtain historical production data corresponding to each processing stage; S2, obtaining the
feed quality corresponding to the historical production data, and simultaneously obtaining the standard process and standard quality corresponding to each processing stage. Through
big data modeling, a deep
correlation analysis between process and quality is achieved, significantly improving the accuracy of
quality control. This not only quantifies the differences in
feed quality and
process deviations at each stage, but also innovatively introduces modeling of
raw material quality grades and processing sequence nodes. By calculating the positive and negative values of the
impact of
process deviations on quality, it accurately identifies the positive or negative destructive effects of fluctuations in different process parameters on quality.