关键词: 单锭监测, 智能纺纱, 信号采集, 数据分析, 质量控制

Abstract: Traditional spinning enterprises rely on manual inspection of yarn breakage, which is inefficient and susceptible to human factors, making it difficult to meet the high quality and efficiency requirements of modern large-scale production, as well as the serious problem of yarn waste after yarn breakage. With the intensification of market competition and consumer expectations of product quality, spinning enterprises urgently need intelligent transformation and upgrading to cope with the increasingly complex market demand. To address the above problems, a single-spindle spinning monitoring system is established for the spinning of the smallest unit, and sensors are used to monitor the working conditions of each spindle, including twisting, drafting, and forming processes. On one hand, it provides visual alarms for perceived abnormalities, reducing the dependence on manual operations. On the other hand, it uploads all detected spindle condition information to a cloud server, forming a comprehensive spinning information database. This, in turn, supports the intelligent management of spinning workshop information through the integration of a spinning MES system.
The article focuses on the components and working mechanisms of a ring-spinning single-spindle monitoring system. It also examines the methods of signal acquisition and data processing through sensors on various operational components, including the steel wire ring, roller, spindle, and collar plate. By utilizing digital twins and data fusion techniques, the system extracts information characteristics of various abnormalities during the spinning process. This provides digital criteria for identifying abnormalities such as broken ends, weak twists, empty spindles, and uneven twists during the spinning process. On one hand, it informs the position of the blocker through headlamp alarms and provides the navigation service. On the other hand, it stops feeding the roving to reduce the waste of raw materials. Finally, the application effect of the single spindle monitoring system is analyzed, and the results show that the productivity of using the single spindle monitoring system is increased by 15%, resulting in a 22% reduction in the overall cost of labor and raw materials, and a 12% decrease in the annual defect rate of yarns. The single-spindle monitoring system collects data in the spinning production process and provides detailed production reports and visualization interfaces. This enables management to conduct real-time monitoring, make informed decisions, optimize production scheduling and resource allocation, automate spinning processes, ensure continuous production, facilitate networked information management and adopt intelligent spinning modes. 
In short, the single-spindle detection system not only addresses common issues in traditional spinning production, such as inefficiency and quality fluctuations but also provides solid technical support for the transformation of the textile industry to digitalization and intelligence, promoting the upgrading of the industry and innovation. As technology continues to advance, the future single-spindle detection system is poised to integrate additional functionalities, so as to further enhance the intelligence of the spinning process and generate even greater economic benefits and social value for the textile industry.

Key words: single-spindle monitoring, intelligent spinning, signal acquisition, data analysis, quality control