Cigarette machine data acquisition system monitoring and early warning method, system, storage medium and equipment

Abstract

The application provides a cigarette machine data acquisition system monitoring and early warning method, system, storage medium and equipment. The monitoring and early warning method first obtains the distribution of the short-time standard deviation of the key measurement index of the cigarette machine by leading and analyzing the electric signal acquisition values of the cigarette measurement, process equipment parameters and key process parameters of the cigarette machine in the cigarette rolling process. Meanwhile, the quantitative characterization relationship between the online process parameters and the short-time standard deviation of the online measurement index is established, so as to output the process parameter cluster which has the quantitative characterization relationship with the online measurement index. The abnormal and normal data determined by the percentile control chart of the online measurement index are used as the state division, the distribution range of the associated process parameter cluster when the short-time standard deviation of the online measurement index is in the normal state is constructed, and the distribution range is used as the normal and abnormal state monitoring limit of the process parameter, thereby improving the quality control ability and the abnormal problem tracing ability of the cigarette production process.

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