The present application relates to the field of beer
brewing, for solving the problem that beer
brewing monitoring system relies on fixed curve
control mode or manual sampling detection, resulting in monitoring information
lag, abnormal response not timely, specifically a kind of intelligent
monitoring system for beer
brewing fermentation process based on dynamic modeling, including
process supervision module, dynamic construction module,
time series prediction module and early warning decision module;The present application is by continuously collecting
fermentation actual parameter to construct and correct
fermentation dynamic curve, then based on the corrected fermentation dynamic curve, the prediction of the variation of fermentation prediction parameters including double acetyl
peak value, fermentation end time point and final
brix value is realized, and when any key
state variable is detected to exceed the pre-stored reasonable process threshold, different levels of sound and light alarm are triggered, and the fermentation health degree classification can also be obtained by quantitative analysis of fermentation dynamic curve, different early warning reminders are generated, the response speed and regulation accuracy under abnormal working condition are improved.