Digital physical model-based loose moisture regaining self-adaptive water control method and system
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A kind of loose moisture regain, digital physics technology, applied in application, food science, tobacco preparation, etc problem, to achieve the effect of stabilizing moisture
Active Publication Date: 2019-04-12
HANGZHOU ANMAISHENG INTELLIGENT TECH CO LTD
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Problems solved by technology
At present, there are many problems in outlet moisture control during the loosening and regaining process, two of which are the most prominent: First, due to the time delay in the loosening and regaining process itself, the loosening and regaining control system cannot adjust the water addition according to the outlet moisture content measured in real time The size, which affects the stability of the outlet moisture content
Second, because the water absorption capacity of the tobacco sheets on the silk production line is always changing, the physical properties of the same batch of tobacco sheets are different, so that the loose moisture regain control system cannot be based on the mathematical model of the loose moisture regain process and the variable values obtained by real-time measurements. , the optimal amount of water added at this time is obtained, which affects the stability of the outlet moisture content
[0003] Compared with the importance of the loose moisture regain process and its influence, the moisture control accuracy at the outlet of the tobacco sheet has always been low
For the amount of water added in the loosening and regaining process, it can only be obtained by relying on the constant water addition calculation model set by the on-site PLC control system. However, since the physical characteristics of the tobacco sheet change, after the water addition amount is automatically obtained, manual assistance is required Adjustment, so that the moisture stability at the outlet of the smoke sheet depends on the level of the on-site operator, and the control effect is limited
These current situations reduce the stability of the moisture at the outlet of the tobacco sheets during the loosening and moisture regaining process, resulting in more unqualified shredded tobacco, which has a great impact on the process indicators of subsequent processes
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Embodiment 1
[0044] An adaptive moisture control method for loose moisture based on a digital physical model, such as figure 1 shown, including the following steps:
[0045] S100. Obtain relevant data of the loose tobacco sheet during the moisture regain process, the relevant data at least includes brand information, inlet moisture content, outlet moisture content, target outlet moisture content, water addition amount and mass flow rate of the tobacco sheet;
[0046]S200. Determine the inlet moisture content, outlet moisture content, and mass flow rate of the collected loose tobacco sheets during the moisture regaining process. Control the moisture regain process, wherein, the process of controlling the loose moisture regain process includes:
[0047] S210. Automatically identify the collected brand information to obtain the physical characteristics of the corresponding batch of cigarette sheets, the physical characteristics at least include the target outlet moisture content, and obtain ...
Embodiment 2
[0065] A loose moisture regain adaptive moisture control system based on a digital physical model, such as figure 2 As shown, it includes an acquisition data module 100 and a decision control module 200;
[0066] The data acquisition module 100 is used to acquire relevant data of the loose tobacco sheets during the moisture regaining process, the relevant data at least includes brand information, inlet moisture content, outlet moisture content, target outlet moisture content and mass flow rate of the tobacco sheets;
[0067] The determination control module 200 is used to determine the inlet moisture content, outlet moisture content and mass flow rate of the collected loose tobacco sheets in the moisture regaining process. During the normal working state, the loose regaining process is controlled, wherein the judgment control module 200 includes an automatic identification unit 210, a model building unit 220 and a prediction unit 230:
[0068] The automatic identification un...
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Abstract
The invention discloses a digital physical model-based loose moisture regaining self-adaptive water control method. The method comprises the following steps: acquiring related data of a smoked sheet in a loose moisture regaining process, wherein the related data at least comprises plate number information, in-mouth water content, out-mouth water content, target out-mouth water content, water addition and smoked sheet quality flow. By judging the in-mouth water content, the out-mouth water content and the smoked sheet quality flow, when the in-mouth water content, the out-mouth water content and the smoked sheet quality flow are in a normal working state, the loose moisture regaining process is controlled and a detailed control process is disclosed. A mathematic model is constructed according to a physical relationship among variables in the loose moisture regaining process, and the data in the loose moisture regaining process is analyzed by using a polynomial regression method, so thattime-variable parameters in the model are identified in real time. The optimum water addition is solved according to the mathematic model and the out-mouth water content of the smoked sheet, and finally, the targets of stabilizing the out-mouth water content of the smoked sheet, improving the percent of pass of the smoked sheets and lowering the cigarette production cost are achieved finally.
Description
technical field [0001] The invention relates to the technical field of loose moisture regain control, in particular to a method and system for loose moisture regain self-adaptive moisture control based on a digital physical model. Background technique [0002] Loose dampening is the first processing procedure that affects the quality of shredded tobacco in the tobacco factory. The moisture content at the exit of loosening dampening is an important process index of this process, and its process stability has a direct impact on the process indicators of subsequent processes. At present, there are many problems in outlet moisture control during the loosening and regaining process, two of which are the most prominent: First, due to the time delay in the loosening and regaining process itself, the loosening and regaining control system cannot adjust the water addition according to the outlet moisture content measured in real time The size, which affects the stability of the outle...
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