集散式整经机数据采集与管理系统的开发

为提高纺织准备车间的工作效率，保证整经机产量、质量数据的准确性和实时性，在局域网环境下，利用网络技术、通信技术、数据库技术以及计算机控制技术，构建了一种面向整经机的、可远程在线监控的数据采集与管理系统。对系统的体系结构、工作原理以及主要管理功能进行了介绍，并利用事务机制、STL技术解决了软件设计过程中的技术难点，同时，利用软件滤波算法对实时生产数据进行了拟合，并对拟合结果进行了对比与分析。最后提出了利用牛顿差值法对采集信号进行平滑处理的方法。应用结果表明，系统主要功能可满足了准备车间对整经机的生产管理需求，保证机台生产数据的准确性和实时性。

Development of data acquisition and management system of warping machine based on Distributed Control System mode

To improve work efficiency of the preparation workshop in the textile industry, and to ensure acquisition of correct and real-time output and quality data of warping frames, in the local area network (LAN) environment, a data acquisition and management system for warping frames was developed via network technology, communication technology, database technology, and computer control technology, which can realize the remote on-line monitoring of production data and machine operating status. The system architecture, working principle and the main management functions were introduced, and the technical problems during the design process were solved by using transaction machinery, STL technology, etc. Meanwhile, real-time production data were fitted through using software filtering algorithms, and then the fitting results were compared and analyzed. A smoothing method with Newton difference was put forward to the collected signal. The system has been used in the textile industry, its core functions met the requirements of production management of the preparation workshop, furthermore, the real-time and correctness of production data were ensured.