Nonlinear Fitting Model Calculation Method Based on Genetic Algorithm

Abstract

The invention discloses a genetic algorithm-based method for calculating the non-linear fitting model of the stalk-containing rate of the image method, which specifically includes the following steps: Step 1: Calculate the stalk-containing rate of a series of finished tobacco samples by using the traditional weighing method, and combine these value as the target data set; step 2: use the image method of the software to calculate the stem content rate for the same batch of finished tobacco samples in step 1, and use these values ​​as the input set of the fitting function; step 3: use the improved genetic algorithm to find The best parameters of the nonlinear fitting function, that is, the coefficient vector A=[a 1 , a 2 ,...,a n ] T. The present invention takes the results of the image method as the input set, and the results of the weighing method as the target set, and uses the improved genetic algorithm to obtain the best parameters of the nonlinear fitting function corresponding to the two sets, so as to improve the accuracy of the measurement results of the image method for different types. Accuracy of measurement results of stem content of tobacco leaves.

Description

technical field [0001] The invention relates to a method for calculating a nonlinear fitting model of the stalk content rate based on a genetic algorithm in an image method, and belongs to the technical field of detection of the tobacco stalk content rate. Background technique [0002] In the process of threshing and redrying tobacco leaves, it is necessary to use air separation to separate the threshed tobacco sheets and tobacco stems, so as to carry out accurate formulation of tobacco leaves in the later stage and improve the quality of cigarettes. In the blended tobacco leaves after threshing, there is little difference in the suspension velocity of stem-containing tobacco sheets and free pure leaves. During the air separation process, the stem-containing tobacco sheets will be regarded as pure leaves and difficult to separate, so that the tobacco leaf formula The addition of stem-containing tobacco slices directly affects the quality of cigarettes. The stalk content rat...

AI Technical Summary

Problems solved by technology

[0003] According to the above national standards, each threshing and re-baking enterprise must test the content of tobacco stems. Most re-baking enterprises have to test the content of tobacco leaves every half an hour. There are two main measurement methods: one is, Use a leaf thresher to smash all the tobacco leaves to be tested, and then measure the stem content rate. This measurement method will cause damage to the tobacco leaves. After the measurement, the tobacco leaves will not be able to continue to be used. Every day, every threshing line will be wasted. a lot of tobacco leaves

Second, at present, most tobacco factories and rebaking factories measure the stem content of tobacco leaves by weighing the tobacco stems and leaves after sampling and destemming. This detection method causes great damage to the tobacco leaves, and the detection takes a long time and Unable to realize online real-time detection

Both of these detection methods have obvious disadvantages

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