Method and system for stabilizing processing strength of drum-type cut-tobacco dryer
A silk drying machine and drum-type technology, which is applied in the field of stable processing strength of the drum-type silk drying machine, can solve the problems of control lag, poor real-time control ability of batch process, and many influencing factors, so as to achieve stable control and stable batch-to-batch The effect of processing strength
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[0035] Example 1:
[0036] In a typical implementation of the present application, a method for stabilizing the processing strength of a tumble dryer is disclosed. The mathematical model used is:
[0037] The water loss model of each section before and after moisture, Y1=X1-X2×Z+X3×N1+X4×N2, Y2=X5+X6×N3-X7×N4, among which; Y1 is the water loss in the section from the outlet of moistening leaves to the inlet of drying silk , Y2 is the water loss from the drying silk outlet to the mixed silk section, Z is the storage time after moisturizing the leaves, N1 is the water loss point Y1 ambient temperature, N2 is the water loss point Y1 ambient humidity, N3 is the water loss point Y2 ambient temperature, N4 Water loss point Y2 ambient humidity, X1, X2, X3, X4, X5, X6, X7 are brand coefficient constants, which can be set according to the situation of the previous month or the same period of the previous year, specifically: the previous month or the same period in history as the unit, colle...
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[0040] Example 2:
[0041] A system for stabilizing the processing intensity of a drum-type silk dryer, including a dynamic prediction system for the processing intensity of the drying silk, a dynamic prediction system for the processing intensity of the drying silk, communicates with a measurement system and a production control system. The measurement system is an environmental temperature and humidity acquisition module and Historical data analysis module;
[0042] Further, the environmental temperature and humidity acquisition module simulates the distribution of the internal environmental temperature and humidity in the production workshop, and preferably uses a height of 1.5±0.3m as the installation plane, combined with the process route in which the moisture content loss occurs, and selects that can characterize the temperature and humidity changes in the area The area is the installation point. Finally, through the data fusion of the drying silk processing intensity dynamic...
Example Embodiment
[0045] Example 3:
[0046] Taking a certain brand of cigarettes as an example, the analysis is carried out in units of the same period in history. Collect the water loss value and water loss point environmental temperature and humidity values of all batches from November 1 to 30, 2017, and perform regression analysis to determine the mathematical model, Y1=-0.365-0.006*leaf storage time+0.059*internal temperature -0.006*internal humidity; Y2= 1.192+0.005*internal temperature -0.012*internal humidity.
[0047] After the model validity test, the water loss regression model is significant, the residual error and mean square test are normal, and finally the regression equation of the water loss point in November 2018 is obtained, and the regression equation is used to predict and control the outlet moisture of the moisturizing leaf:
[0048] Moisture at the outlet of the leaves Q1=standard central value of moisture content of mixed silk Q3+Y2+target value of brand drying dehydration+Y...
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