纺纱工程自动化信息化智能化创新方向的思考

Consideration of the Innovation Direction of Automation,Information and Intelligence of Spinning Engineering

为了解决传统纺纱装备工序多、设备运行效率低、用工多等弊端,分析纺纱自动化信息化的应用现状,以及实现纺纱辅助自动化、纺纱信息化的工艺技术路线;阐述纺纱自动化信息化创新应用实例,如梳棉并条工序联接技术、条筒圈存容量扩增技术、电子圈条技术、并条机自调匀整数字化检测技术、纺纱品质信息追踪系统、络筒机自动投纱系统等,并从4方面对纺纱工程信息化智能化发展进行展望。指出:纺纱工程基础层面对纤维主要加工过程基本实现了自动化;纺纱辅助环节自动化应用空间大,研发项目多,工序联接尤其是物料流联接最值得推广应用自动化项目;纺纱信息化应用方面,缺少对纤维在棉块、棉束、棉网、须条和纱线各个阶段和状态的在线监测,工艺技术路线是纺纱自动化信息化技术研发的方向性抓手;由于纺纱主体工程信息化缺乏,纺纱智能化任重道远。

In order to solve the disadvantages of traditional spinning equipments,such as many processes,low efficiency of equipment operation,and many employees,the application status of spinning automation and information,and the process technological route to realize spinning auxiliary automation and spinning information are analyzed.The innovative application examples of spinning automation and information are described,such as the connection technology of carding and drawing process,storage capacity expansion technology of coiler on sliver cans,electronic coil technology,digital detection technology of autoleveller in drawing frame,spinning quality information tracking system,and automatic yarn feeding system of winder.At the same time,the development of spinning engineering information and intelligence is prospected from four aspects.It is pointed out that the main processing process of fiber in the basic layer of spinning engineering is basically automated.The automation application space of spinning auxiliary link is large,have many R&D projects,and the process connection,especially the material flow connection is the most worthy of promotion and application of automation projects.In the application of spinning information,which lacks the on-line monitoring of fiber in every stage and state of cotton block,cotton bundle,cotton net,sliver and yarn.The process technological route is the directional grip of the research and development of spinning automation and information technology.Due to the lack of information of spinning main project,the spinning intelligence has a long way to go.