Aiming at the problems of one-sidedness and uncertainty of decision-making results caused by single data dimension and low reliability of traditional liquor solid-state fermentation evaluation methods,this paper proposes a liquor solid-state fermentation state evaluation method based on multi-sensor data fusion technology .The statistical process control SPC method is used to eliminate the abnormal data with large deviation from the multi-dimensional sensor data,and then the adaptive weighted fusion algorithm is used to fuse the similar sensor data locally .The local fusion data is used to establish the membership function of each environmental index by using the fuzzy set theory .The basic probability distribution of the obtained membership function is carried out and the global fusion is carried out according to the combination rules .According to the decision criteria,the state evaluation of liquor solid-state fermentation was obtained by judging the fusion results,and the decision results were compared with the traditional D-S evidence theory and other methods . T he results indicated that this method more effectively integrated the different effects of various environmental parameters in the cellar,improved the accuracy of the evaluation of the solid-state fermentation state of liquor,and provided strong technical guidance for the control and optimization of the biological fermentation process of liquor .
liquorsolid state fermentationsensorsSPC methodD-S evidence theory
维普
万方数据
