面向纺织智能制造的信息物理融合系统研究

发布时间：2018-05-15 22:20

本文选题：纺织智能制造 + 信息物理系统　；参考：《东华大学》2017年硕士论文

【摘要】：纺织产业是我国国民经济的支柱产业和重要的民生产业。随着智能制造与工业4.0的快速兴起,纺织业的转型升级变得迫在眉睫,实现纺织智能制造是必然趋势。而无论是工业4.0还是智能制造,其核心均为信息物理系统(Cyber-Physical Systems,简称CPS)。因此,研究CPS对实现纺织智能制造具有重要的意义。纺织业实现信息物理系统面临的几个突出问题有:1.纺织生产环境的复杂性与设备的特殊性,对数据采集和传输的实时和可靠性具有较高要求;2.纺织生产数据规模大,结构多样,实时处理要求高,导致传统关系型数据库无法进行有效管理;3.如何将设备数据和生产数据有机结合,实现对生产状态的全面分析。本文在分析纺织生产特殊性的基础上,提出了改进的主控同步CAN总线的多点实时数据传输策略,解决了纺织数据多节点传输过程中的冲突问题,有效的提高了数据传输的实时性与可靠性;利用传统数据库与No SQL数据库相结合,实现生产数据与设备数据的有机融合,最后通过实际系统的开发实现了信息物理融合系统在织布制造过程中的应用。论文的主要研究成果包括:1.给出了纺织智能制造的信息物理融合系统的架构。分析了工业生产环境的特殊性基础上,结合纺织生产的特点,提出了改进的主控同步CAN总线多点实时数据传输策略,解决了多节点数据环境下的数据传输的实时性与可靠性问题,为信息物理系统的实现提供了可靠的保障。2.开发了信息物理融合系统中信息物理采集模块和主控控制模块,对数据采集技术和改进的主控同步CAN总线进行深入研究,为信息物理融合系统在纺织智能制造上的应用奠定了基础。3.针对纺织工业数据的规模大、结构复杂的特点,利用SQL Server 2008和Mongo DB数据库实现了对纺织大数据的存储。针对采集到的纺织机的物理数据与生产数据,采用引用链接的方式进行关联,为实现对纺织机器的协调控制提供技术支持。最后,本文将相关研究成果在织布制造企业中进行了应用,开发并实现了织布制造信息物理融合系统。结果表明,提出的基于主控同步CAN总线多点实时传输策略是正确有效的,数据的采集与传输更加实时可靠。系统的实际应用为织布制造过程的智能化奠定了基础。
[Abstract]:Textile industry is the pillar industry of our national economy and important industry of people's livelihood. With the rapid rise of intelligent manufacturing and industry 4.0, the transformation and upgrading of textile industry becomes urgent, and the realization of intelligent textile manufacturing is an inevitable trend. Whether industrial 4.0 or intelligent manufacturing, its core is the information physical systems (CPSs). Therefore, the study of CPS is of great significance to the realization of intelligent textile manufacturing. The textile industry implements the information physics system to face several outstanding questions is: 1. Because of the complexity of textile production environment and the particularity of equipment, the real time and reliability of data acquisition and transmission are very high. The textile production data scale is large, the structure is diverse, the real-time processing request is high, causes the traditional relational database to be unable to carry on the effective management. How to combine the equipment data with the production data to realize the overall analysis of the production state. On the basis of analyzing the particularity of textile production, this paper proposes an improved multi-point real-time data transmission strategy based on the master synchronous CAN bus, which solves the conflict problem in the process of textile data multi-node transmission. The real-time and reliability of data transmission is improved effectively, and the combination of traditional database and No SQL database is used to realize the organic integration of production data and equipment data. Finally, the application of information physical fusion system in weaving process is realized through the development of practical system. The main research results of this paper include: 1. The architecture of information physical fusion system for intelligent textile manufacturing is presented. Based on the analysis of the particularity of the industrial production environment and the characteristics of textile production, an improved multi-point real-time data transmission strategy based on the master synchronous CAN bus is proposed. The real-time and reliability problem of data transmission in multi-node data environment is solved, which provides a reliable guarantee for the realization of information physics system. The information physics acquisition module and the main control module in the information physics fusion system are developed. The data acquisition technology and the improved master control synchronous CAN bus are deeply studied. It lays a foundation for the application of information physics fusion system in textile intelligent manufacturing. In view of the large scale and complex structure of textile industry data, the storage of textile big data is realized by using SQL Server 2008 and Mongo DB database. Aiming at the physical data and production data of textile machine collected, the method of citation and link is used to correlate them, which provides technical support for the coordination and control of textile machine. Finally, this paper applies the related research results to the weaving manufacturing enterprises, and develops and implements the weaving manufacturing information physical fusion system. The results show that the proposed multi-point real-time transmission strategy based on master synchronous CAN bus is correct and effective, and the data acquisition and transmission is more real-time and reliable. The practical application of the system lays a foundation for the intelligentization of weaving process.
【学位授予单位】：东华大学
【学位级别】：硕士
【学位授予年份】：2017
【分类号】：TS103.7;TP278

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