Tobacco leaf conditioning water addition prediction method, storage medium and terminal equipment

Abstract

The invention provides a tobacco leaf conditioning water addition prediction method, a storage medium and terminal equipment. The method comprises the steps of acquiring the production time of tobaccoleaves, the training demand, the moisture content after feeding, the moisture content before pipe tobacco drying, the wall temperature of a pipe tobacco drying oven, the workshop temperature and theworkshop humidity parameter, and carrying out standardization and normalization on the acquired data; constructing a BP neural network by taking the parameters as input signals and a conditioning procedure water addition and outlet moisture as outputs, and determining the iterations, learning rate and target value of the neural network, so as to obtain a tobacco leaf conditioning water addition prediction model; and training the tobacco leaf conditioning water addition prediction model by taking part of processed data as training data while a preset requirement is met, and predicting the collected data by virtue of the trained tobacco leaf conditioning water addition prediction model, so as to obtain a prediction result.

Description

technical field [0001] The disclosure relates to a method for predicting the amount of moisture added to tobacco leaves, a storage medium and a terminal device. Background technique [0002] The statements in this section merely provide background information related to the present disclosure and do not necessarily constitute prior art. [0003] According to inventor's understanding, the production process of present tobacco mainly comprises such as figure 1 In the process shown, after the laminar tobacco leaves the warehouse, it needs to be rehydrated after being sliced ​​and before the tobacco leaves are fed. The technological task of the dampening process in the tobacco production process is to loosen the leaves after slitting and vacuum dampening, and to continuously and evenly increase the temperature and humidity of the leaves to meet the technological requirements of the subsequent processes. The amount of water added in the moisture regain process has a direct impa...

AI Technical Summary

Problems solved by technology

The amount of water added in the moisture regain process has a direct impact on the furnace wall temperature and outlet moisture control in the drying process. Too much or too little water will cause the furnace wall temperature to fail to meet the process requirements, and even lead to unqualified moisture at the outlet of the dried silk, which seriously affects cigarettes. product quality

[0004] At present, operators need to predict the amount of water to be added based on their own experience. Since the working experience of the operators is different, and there are many factors that affect the amount of water to be added, the prediction process is prone to omissions, resulting in different prediction results from person to person. Silk drying process furnace Wall temperature pass rate is low

If the deviation of water addition is too large, the moisture at the outlet of the dried silk will also be unqualified

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