Use of Density Probability Distribution for Creating the Detection Model of Cigarettes' Dense-End Position

The density distribution of cigarettes was analyzed to improve the detection precision of cigarettes' dense-end position. The density distribution pattern under the ideal production condition was combined, and a dense-end position detection model was constructed. The model parameters were determined based on data optimization. MW-T and cigarettes validated the model. We got the conclusions below. 1) For the measurement of dense-end with the Dense-end Position Standard Parts, the average error of the measurement was 0.1646 mm, and the maximum error was - 0.2735 mm. 2) The average error between the measured value of the dense-end position with ordinary cigarettes and that of the MW4420 was 0.79 mm, which meets the actual production demand (≤1 mm). The model has high accuracy and reliability and can provide favorable technical support for the dense-end position detection of cigarettes. It is helpful to improve the level of quality control in cigarette production and inject new vigour for the sustainable development of the cigarette industry.