Abstract:

On the basis of massive data generated from the spinning process, the fluctuation cause and law of spinning quality characteristic value, and generation mechanism of uncertain factors affecting the quality characteristic value were analyzed, and the interaction mechanism between the uncertainty factors and the quality characteristic value were studied.By using man-machine-environment system engineering theory, the inherent mechanism of the fluctuation of the spinning quality characteristic value was modeled and designed from four aspects, which include the correction of the spinning quality characteristic output value, the expression of fluctuation law, the construction of man-machine-environment brittle model, and identification of abnormal behavior of factors with the TARCH (1,1) model. Finally, a four-step spinning quality fluctuation prediction method based on data was proposed. By experimentation, simulation and comparison, the results show that the four-step method we proposed can realize the visualization of the fluctuation process of the spinning quality characteristic value, achieves the pre-warning of abnormal behavior of uncertainty factors and the real-time online detection of the yarn quality. Furthermore, it will be conducive to provide a novle method for the construction of prediction and control of the yarn quality based on data.

Key words: fluctuation mechanism, yarn quality, data, prediction