Data optimization method and system for food fermentation process

A data optimization system of a food fermentation process, comprising:

• a data acquisition unit;
• a construction and extraction unit;
• and
• a creation and generation unit;
• wherein the data acquisition unit is configured to acquire process data of the food fermentation process;
• wherein the process data comprises environmental parameter data and fermentation system parameter data;
• the construction and extraction unit is configured to construct a multi-scale cross-correlation feature filter (MCFF), extract feature data corresponding to the process data in real time based on the MCFF, and process the feature data by collaborative hybrid;
• and
• the creation and generation unit is configured to create a data prediction model corresponding to the feature data through a machine learning method, and generate predicted optimization control data corresponding to the food fermentation process in real time based on the data prediction model in combination with an optimization algorithm;
• wherein the machine learning method comprises a linear method and a non-linear method;
• and the optimization algorithm is a swarm intelligence algorithm or a meta-heuristic algorithm.