Spinning digital twin architecture system and implementation method thereof

Abstract

The invention discloses a spinning digital twinning architecture system and an implementation method thereof, and belongs to the field of spinning production, the spinning digital twinning architecture system comprises a physical entity, a connection part, a data platform, a virtual entity and a model deployment part which are matched with one another, and a twinning model in the virtual entity is constructed by calling data of the data platform. A twinning model and a spinning mechanism model are fused to construct a key digital twinning model, namely a yarn quality prediction model, a spinning single equipment operation model and a logistics operation model, and the three sub-models jointly form a production line digital twinning model. According to the method, the yarn design efficiency can be improved to a certain extent, the yarn production quality is improved, and the yarn quality production stability is improved. Meanwhile, the application of digital twinning in spinning production has important significance on transformation and upgrading of production in the spinning field, and a good demonstration and reference thought is provided for intelligent manufacturing in other fields of the textile industry.

Description

Technical field [0001] The present invention belongs to the field of spinning production, in particular to a spinning digital twin architecture system and a method of implementation thereof. Background [0002] As one of the earliest areas in the textile industry to promote intelligent manufacturing, the spinning field has made great progress in equipment operation, data collection, equipment automation, semi-finished products in the production process and yarn detection, and reduction of labor, and has a good foundation for realizing intelligent manufacturing. Compared with other production areas, the spinning production field mainly has the following characteristics: [0003] 1, different from the production of other industrial products, spinning production raw materials are mainly agricultural products, affected by climate, soil and other factors, so the quality of raw materials is dispersed and difficult to control. [0004] 2. Semi-finished products and their products in spi...

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Problems solved by technology

[0003] 1. Different from the production of other industrial products, the raw materials for spinning production are mainly agricultural products, which are greatly affected by factors such as climate and soil, so the quality of raw materials has a large dispersion and is difficult to control

[0004] 2. Semi-finished products and their products in spinning production are all flexible products, which are easily affected by external environmental factors

[0005] 3. The spinning production process and product quality are mainly affected by the process parameters established by the yarn use, and the current process parameters mainly rely on the experience of technicians, resulting in uncertainty in product production quality

[0006] 4. Spinning production is continuous production, and the quality of semi-finished products and yarn quality of each process in production is mainly detected offline. The quality feedback of spinning production is sluggish, resulting in unstable yarn quality in final production and affecting the normality of downstream production. conduct

[0007] It can be seen from the above characteristics that the fiber movement in the spinning production process is complex, the production processes are closely related, the performance indicators are affected by many factors, and the consequences of production abnormalities and failures are serious. In addition, the current intelligent manufacturing of spinning production mainly focuses on improving production. Automation, reduction of production cost, improvement of labor productivity, reduction of labor, etc. have little improvement in aspects closely related to yarn quality, such as improvement of design efficiency, improvement of yarn production quality, increase of quality stability of yarn production, etc.

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