With the development of cigarette technology in tobacco industry, more and more cigarette enterprises pay attention to Bayesian network aided cigarette product design. This study mainly discusses the application of continuous Bayesian network in the intelligent analysis and early warning platform of silk making process. This system designs the module of quality abnormal management and warning, which can monitor the whole process of silk production automatically. At the beginning of the system, the built-in discrimination criterion is used as the condition of pre alarm, and the system carries out real-time calculation according to Bayesian network. The module collects all the abnormal information in the process of silk production, including the batch and occurrence time of process quality parameters. The quality analyst can directly view the details of the abnormalities in the production process and the processing status. Cigarette formula maintenance module is based on clustering and Bayesian network. The individual cigarettes are divided into several categories according to the attribute characteristics by clustering method, and the individual cigarettes under each category have similarities under the selected attribute characteristics. When one individual cigarette is missing, other individual cigarettes under the category that the individual cigarette belongs to are found out as the initial candidate set of individual cigarette replacement. In order to verify whether the new formula belongs to the same brand as the original formula, the complete attribute information of the formula is put into the Bayesian network classifier for prediction. The correlation coefficient between predicted value and actual value of hot air temperature is 0.9703, and the root mean square error is 0.3074, which can meet the application demand of moisture content of cut tobacco at dryer outlet. The scheme designed in this study can predict the change of moisture in the process of processing in time, and has high practical value.

Yan Zhang and Hong Li. Continuous Bayesian Network in Intelligent Analysis and Early Warning Platform of Silk Making Process. International Journal of Big Data Intelligent Technology (2020), Vol. 1, Issue 1: 1-17. https://doi.org/10.38007/IJBDIT.2020.010101.

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