Capacitive Yarn Quality Measurement System

"Clothing" is an essential part of life, in order to keep warm from the previous premise-basedrequest, and now pursuit the chase clothes style, comfort and so on. Therefore, the raw material forweaving clothing requirements are getting higher and higher. The cotton yarn quality directlydetermines the quality of the finished product is good or bad clothes. In the process of spinning, inaddition to improving the quality of spinning, advanced spinning equipment manufacturing, qualitytesting for spinning also played a development for spinning technology. Yarn spinning process forquality testing，we can find defects in workmanship, meanwhile, can be caused by yarn faults affectdevice identification in the clearance of yarn quality.In the conventional yarn detection technique，the technique of using different kinds of sensingmode to detect the yarn and to clean the yarn faults has been uncommon. But there are variouskinds of problem in the yarn detection technology: the detecting result has been effected on theaging components and the detecting environment, moreover, the yarn detection technology hasgreat limitations, the existed detecting system only plays a tool to clean the yarn faults, and has novisual performance of the yarn detecting quality.In this thesis, a yarn quality detecting system based on the way of capacitive detection is raised.Capacitive detection method has a greater accuracy assurance on yarn detecting. Using thedistributed detection model in the system design, so that the detecting system can detectingmultiple ways of spinning lines and improves the reusability of the detecting system.The main work and research in this paper as follows: Introducing the development of yarnclearer at home abroad, designed circuit of a capacitive sensor is raised in this thesis. Designed amiddle board hardware platform based on STM32F103C8T6to realize the distributionmeasurement sensor deployment, and using the Keil4SDK to accomplish the software development.Build up an interactive interface based on ARM AM3517, using the embedded graphicsdevelopment framework Qt to develop the application software and using the OOP technology toaccomplish the software design. Introducing the design of the main software of the system. Buildup the whole system platform and have real-time yarn detecting. The detecting results shows thatthe system can detect the yarn accurately, and the interactive interface can monitor different ways ofspinning lines at the same time.