Control system based on neural network prediction algorithm
A technology of control system and prediction algorithm, applied in the field of control system based on neural network prediction algorithm, can solve the problem of inability to adjust the baking parameters of various materials in the tea production process, and achieve the effect of refined baking control
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Embodiment 1
[0054] The main parameters of tea roasting are roasting time and roasting temperature; among them, the temperature is the main factor determining the taste and quality of tea. When the temperature rises, the water in the tea will evaporate gradually, and then the aroma will evaporate with the water. The aromatic essential oils in the aroma components have boiling points above 150 degrees, so the baking temperature should be below 150 degrees, usually not exceeding 110 degrees; The time should be shortened, on the contrary, the thicker and older tea has stronger fire resistance, and the baking time needs to be longer; the crude tea with sufficient fermentation degree has weaker fire resistance, and the time should be shortened, otherwise it should be prolonged; the fire resistance of tight-knotted tea High, longer re-baking time is required, otherwise shorten the time;
[0055] For different types of tea, or different tea flavors, there are also different suitable baking time a...
Embodiment 2
[0114] This embodiment should be understood as at least including all the features of any one of the foregoing embodiments, and further improvements on the basis thereof;
[0115] In the roasting process of some tea species, the semi-finished tea leaves are dried after the first stage of roasting, and then the second stage of roasting operation is carried out; therefore, sufficient sampling time can be provided to determine the The working parameters of the baking equipment;
[0116] In the first stage of baking, use one of the prediction models as the first prediction model, and use the original tea leaves to obtain the first parameter P 1 , taking the second parameter in the first stage two parameters H 1 and T 1 Instruct the working parameters of the first-stage baking equipment, that is, P 2 =(H 1 , T 1 );
[0117] In the second stage of baking, including running a second predictive model on the computing unit configuration;
[0118] Further, the image information o...
Embodiment 3
[0124] This embodiment should be understood as at least including all the features of any one of the foregoing embodiments, and further improvements on the basis thereof;
[0125] Optionally, the standard sample value includes brewing the standard sample, and analyzing the color, suspended matter, and concentration of the tea soup, and setting more scores by evaluating the standard sample value by the reviewers item;
[0126] For the end sample value, the brewing operation can also be set, and the image performance of the tea soup can be analyzed through the image analysis of the acquisition unit, so as to compare and score with the standard sample value;
[0127] Wherein, included in the prediction model, a corresponding output node is set to indicate the characteristics of the tea soup.
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