茧层状态分层数字化识别的探讨

Discussion on Stratified Digital Recognition of Cocoon Layer State

在利用绪下粒符控制样本对生丝纤度控制机构进行调控中,先要对茧子的茧层状态进行准确的划分,这直接关系到调控的准确性。过去是利用人的感官对茧层状态进行分层,划分精确程度和准确率都不是很好。因此,提出了用模糊数学的择近原则理论来对茧层状态进行区分的方法,并通过实验对此分层方法进行了验证,实验证明是可行的。

It should divide the cocoon layer state accurately per thread to adjust the raw silk size control machinery, and to apply the human sensory to divide the cocoon layer state, principles theory of fuzzy math was proposed for dividing the be feasible by the experiment. before using the control sample of reeling cocoon number it is directly related to the accuracy of adjustment. It used and its accuracy was not very good. So, the optional near cocoon layer state in the paper. The method was proved to be feasible by the experiment.