The fermentation process of Luzhou-flavor liquor is almost uncontrollable, and at the same time, in his production process, the fermentation method is utilized. Therefore, eel conditions are an important reference indicator for liquor fermentation. In the study of the conditions for the emergence of Luzhou-flavor liquor, the quantitative evaluation of the conditions of liquor discharge was achieved by the cloud model and the improved D-S (Dempater-Shafer) evidence theory. There are five main factors that have a profound influence on the sputum conditions, namely temperature, moisture, acidity, starch content and reducing sugar. The membership degree cloud model is established by Matlab simulation for the out-of-the-box condition, so that each parameter has its corresponding membership function. The collected sample parameters are used to realize the membership degree of each evaluation standard through the cloud model, and the sample data are analyzed by using the improved D-S evidence theory. Through experimental analysis, the outburst condition of liquor can reach a more accurate quantitative analysis, so as to guide the fermentation process of Luzhou-flavor liquor, and then improve its yield and quality.
Cite this paper
Luo, H. , Li, G. and Yao, Y. (2019). Analysis of the Conditions of Luzhou-Flavor Liquor Based on Information Fusion. Open Access Library Journal, 6, e5754. doi: http://dx.doi.org/10.4236/oalib.1105754.
Yan, F., Xu, K.L. and Cui, Z.K. (2017) An Improved Layer of Protection Analysis Based on a Cloud Model: Methodology and Case Study. Journal of Loss Prevention in the Process Industries, 48, 23-25.
Gao, H.B., Xie, G.T. and Liu, H.Z. (2017) Lateral Control of Autonomous Vehicles Based on Learning Driver Behavior via Cloud Model. The Journal of China Universities of Posts & Telecommunications, 24, 10-17.
Ma, S.D., Zhang, H.Z. and Yang, G.Q. (2017) Target Threat Level Assessment Based on Cloud Model under Fuzzy and Uncertain Conditions in Air Combat Simulation. Aerospace Science and Technology, 67, 49-53.
Li, H.S. and Pan, D. (2017) Multi-Photoelectric Detection Sensor Target Information Recognition Method Based on D-S Data Fusion. Sensors and Actuators A: Physical, 264, 117-122. https://doi.org/10.1016/j.sna.2017.07.049
Guo, K.H. and Li, W.L. (2011) Combination Rule of D-S Evidence Theory Based on the Strategy of Cross Merging between Evidence. Expert Systems with Applications, 38, 13360-13366. https://doi.org/10.1016/j.eswa.2011.04.161
Tian, D.M., Zhang, L. and Huo, D.Q. (2013) Optimization of the Conditions for the Pro-duction of Luzhou-Flavor Liquor by the Sorghum Distiller’s Grains. Food and Fermentation Industry, 12, 119-122.
