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A method for identifying and warning abnormal temperature in liquor fermentation process

ActiveCN115600147BOptimum temperature rangeNormal fermentationNeural architecturesNeural learning methodsTemperature curveChinese liquor
This invention discloses a method for identifying and warning of abnormal temperatures during the fermentation process of baijiu (Chinese liquor). The method includes: collecting temperature data from several temperature measurement points at several time points during the fermentation process in a target fermentation pit; fitting the temperature data from the same temperature measurement point during a single fermentation process into a temperature curve; scoring the temperature curve based on the final fermentation result; selecting temperature curves with scores higher than a threshold; fitting the selected temperature curves from the same temperature measurement point to obtain the temperature range for each time point, and merging all temperature ranges into a standard temperature band for the measurement point; using the standard curve to identify the temperature data collected during the fermentation process in the target fermentation pit, and issuing an alarm if the temperature data is abnormal. This invention combines historical data from the fermentation pit temperature measurement points to obtain the optimal temperature range for that time point, providing a reference for the subsequent fermentation process, and enabling timely and appropriate abnormal temperature identification and warning, effectively ensuring the normal fermentation of baijiu.
Owner:SICHUAN PROVINCIAL ANALYSIS & TESTING SERVICE CENT