Abstract:

Significance At present, China's spinning industry is changing from the traditional "win-by-quantity" to "win-by-quality" in order to further occupy the high-end market. However, at this stage, China's spinning industry is still facing problems such as dependence on manual experience, unstable yarn production quality, difficulty in improving yarn quality and so on. The emergence of digital twin technology and its application in other industries provide new solutions to the above problems. However, in the practical application process of digital twins, there are a series of problems that need to be solved urgently, such as unclear structure, lack of ready-made guidance, and disputes over the application form of digital twins, which hinder the further development of the spinning field. Therefore, from the perspective of improving yarn quality, this paper reviews and discusses the practical significance and specific forms of the application of digital twin for the intelligent transformation in the field of spinning.

Progress First of all, this paper introduced the basic concept of digital twins, the application of digital twins in other industries, the actual characteristics of the stage in which the spinning field is closely related to yarn quality, and the application prospect of digital twins in the spinning field. According to the actual characteristics of the spinning field, the yarn production was divided into design stage and production stage, and the characteristics of these two stages were analyzed and abstracted into mathematical expressions. At the same time, the key process of improving yarn quality in the spinning field was summarized as an abstract model, and the mapping relationship with the digital twin abstract model was described. The characteristics of the digital twin application in the ideal state and non-ideal state were analyzed, and the actual characteristics of the spinning field were further combined, and how to use the digital twin theory method to solve the practical problems in the spinning field in the non-ideal state was emphatically analyzed. Based on the discussions and analyses, an architecture system for the application of digital twins in the spinning field was proposed, which mainly describes the logical relationship between the data platform, the yarn quality prediction twin model, the equipment twin model, and the logistics twin model in the application process of digital twins in the spinning field, as well as the specific implementation steps. In addition, the construction processes of these key parts were also introduced.

Conclusion and Prospect In the future, the application of digital twinning in the field of spinning can develop in the direction of improving the accuracy of relevant digital twinning models, especially yarn prediction twinning models, using existing theories to better establish knowledge models, achieving better integration between models, improving the data interaction security of the spinning digital twinning industrial platform, and increasing the precision visualization of key equipment twinning models. In the application process of digital twins in the field of spinning, we should also pay attention to the combination of existing technologies. In addition, a series of relevant standards should also be formulated to finally realize the spinning digital twin standard system and provide reference for the intelligent transformation of spinning enterprises, so as to promote the implementation of the digital twin in the spinning production enterprises, promote the application of the digital twin in the spinning field, ultimately improve the production quality of yarn, promote the high-quality development of the spinning field, and also provide corresponding reference for the intelligent transformation of other fields in the textile industry.

Key words: intelligent manufacturing, digital twin, intelligent spinning, yarn quality, system architecture