Curve Feature Extraction Algorithm and Its Application Based on Solid State Fermentation Temperature

CHEN Shu; ZHANG Jizhong

doi:10.3969/j.issn.1672-9722.2019.08.010

Abstract：Solid-state fermentation process of pits temperature,into the pit water,into the pit acidity and cellar starch and other factors and the rate of wine have a great correlation,for a longer fermentation period,the temperature data dimension lead to lower the role of other properties The definition of relative height is referenced,the thought of it is borrowed and a curve feature ex?traction algorithm is proposed. The whole process uses a recursive method,each extraction are taken from the curve at both ends of the connecting line farthest point,the use of these points will curve is divided into multiple curve segments,from left to right travers?ing these curve segments,the curve segment corresponding to the relative height is obtained,and from left to right they are stored in the child node below the corresponding root node of the binary tree,a relative height describes the temperature curve,each tempera?ture curve corresponds to a unique feature. Experimental support vector machine are respectively Gaussian fitting method after the pretreatment temperature data,the extracted temperature curve characteristics,the curve features added pit water,cellar acidity and cellar starch classification,which are recorded as M1,M2,M3. The results of experiment show that the classification perfor?mance of M3 is better than that of M1 is M2,M3 was 14.2225% higher than M1 and M3 is 6.4027% higher than M2,which provides the basis for the process optimization of the next round of cellar and the fermentation process is in a more ideal state in order to the li?quor output rate.